From 96a4ef37517213e467adb6753c6026ff4292e781 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Thu, 13 Oct 2022 10:26:51 +0100 Subject: [PATCH 001/308] flex fix --- pypeit/extraction.py | 2 +- pypeit/spectrographs/keck_kcwi.py | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/pypeit/extraction.py b/pypeit/extraction.py index fee6c174a5..569f1eb3e8 100644 --- a/pypeit/extraction.py +++ b/pypeit/extraction.py @@ -450,7 +450,7 @@ def spec_flexure_correct(self, mode="local", sobjs=None): if mode == "local" and sobjs is None: msgs.error("No spectral extractions provided for flexure, using slit center instead") elif mode not in ["local", "global"]: - msgs.error("mode must be 'global' or 'local'. Assuming 'global'.") + msgs.error("Flexure mode must be 'global' or 'local'.") # initialize flex_list flex_list = None diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 554f47b634..e954ed69a4 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -286,6 +286,9 @@ def default_pypeit_par(cls): par['reduce']['skysub']['bspline_spacing'] = 0.6 par['reduce']['skysub']['joint_fit'] = False + # No objects are extracted, so we should correct for flexure + par['flexure']['spec_method'] = 'slitcen' + # Flux calibration parameters par['sensfunc']['UVIS']['extinct_correct'] = False # This must be False - the extinction correction is performed when making the datacube From 7c1743fd465b9c695c59e4fb4bd64ba1688a89e3 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Thu, 13 Oct 2022 10:27:07 +0100 Subject: [PATCH 002/308] debug --- pypeit/core/datacube.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 12fd6f259b..bbf9875128 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1336,6 +1336,20 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Grab the slit edges slits = spec2DObj.slits + # debug = False + # if debug: + # embed() + # assert(False) + # from matplotlib import pyplot as plt + # colors = plt.cm.jet(np.linspace(0, 1, slits.nslits)) + # left, right, _ = slits.select_edges(initial=True, flexure=None) + # mid = np.round(0.5*(left+right)).astype(np.int) + # for ss in range(slits.nslits): + # wv = waveimg[(np.arange(waveimg.shape[0]),mid[:,ss],)] + # fx = sciimg[(np.arange(waveimg.shape[0]),mid[:,ss],)] + # plt.plot(wv,fx, color=colors[ss]) + # plt.show() + wave0 = waveimg[waveimg != 0.0].min() # Calculate the delta wave in every pixel on the slit waveimp = np.roll(waveimg, 1, axis=0) From 37ae89a9e3f00025903c5d2dbd0c68c023719353 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sat, 15 Oct 2022 21:18:34 +0100 Subject: [PATCH 003/308] start resample --- pypeit/core/datacube.py | 101 ++++++++++++++++++++++++++++++++++------ pypeit/par/pypeitpar.py | 15 +++++- 2 files changed, 100 insertions(+), 16 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 146cc3f84d..eb6727bda4 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -987,6 +987,49 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts +def generate_cube_resample(outfile, hdr, + overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, + sensfunc=None, specname="PYP_SPEC", debug=False): + """ + Save a datacube using the Nearest Grid Point (NGP) algorithm. + + Args: + outfile (`str`): + Filename to be used to save the datacube + hdr (`astropy.io.fits.header_`): + Header of the output datacube (must contain WCS) + blaze_wave (`numpy.ndarray`_, optional): + Wavelength array of the spectral blaze function + blaze_spec (`numpy.ndarray`_, optional): + Spectral blaze function + fluxcal (bool, optional): + Are the data flux calibrated? + sensfunc (`numpy.ndarray`_, None, optional): + Sensitivity function that has been applied to the datacube + specname (str, optional): + Name of the spectrograph + debug (bool, optional): + Debug the code by writing out a residuals cube? + """ + + # Using X (spatial) pixel coordinates and Wavelength, generate spline to Y (spectral) pixel coordinates + + # Find the X Y position for constant wavelength + # -> get RA and DEC given X, Y values. + # -> from RA and DEC of the left slit edge (corresponding to X0 and Y0), calculate delta arcsec along the constant wavelength slice. + # -> Create a spline to predict X1 pixel given the delta arcseconds from the left slit edge. + # -> We now have two splines (one to give X1, and another to give Y1), and an X0, Y0 (of the left edge). + # -> Use this information to create the X,Y grid points of the final resampled data + # -> Use shapely to get overlapping area of each individual pixel and the resampled quadrangles. + + # TODO :: Write out a residuals cube + if debug: + pass + + # Save the final datacube + # TODO :: Write out the datacube + + def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): @@ -1014,10 +1057,10 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bin Wavelength array of the spectral blaze function blaze_spec (`numpy.ndarray`_): Spectral blaze function - sensfunc (`numpy.ndarray`_, None): - Sensitivity function that has been applied to the datacube fluxcal (bool): Are the data flux calibrated? + sensfunc (`numpy.ndarray`_, None): + Sensitivity function that has been applied to the datacube specname (str): Name of the spectrograph debug (bool): @@ -1126,13 +1169,29 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): flatpar = parset['calibrations']['flatfield'] senspar = parset['sensfunc'] - # Get the detector number and string representation - det = 1 if parset['rdx']['detnum'] is None else parset['rdx']['detnum'] - detname = spec.get_det_name(det) - # prep numfiles = len(files) combine = cubepar['combine'] + method = cubepar['method'].lower() + + # Determine what method is requested + if method == "resample": + try: + import shapely + msgs.info("Adopting the 'resample' algorithm to generate the datacube.") + if combine: + msgs.warn("Cannot combine cubes with the 'resample' algorithm - generating individual cubes.") + combine = False + except ImportError: + msgs.error("To use the 'resample' algorithm to make your datacube, you need to install shapely.") + elif method == "ngp": + msgs.info("Adopting the nearest grid point (NGP) algorithm to generate the datacube.") + else: + msgs.error(f"The following datacube method is not allowed: {method}") + + # Get the detector number and string representation + det = 1 if parset['rdx']['detnum'] is None else parset['rdx']['detnum'] + detname = spec.get_det_name(det) # Check if the output file exists if combine: @@ -1529,6 +1588,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): outfile = get_output_filename(fil, cubepar['output_filename'], combine, ff+1) # Generate individual whitelight images of each spec2d file if cubepar['save_whitelight']: + if method == 'resample': + # TODO :: Implement this feature... + msgs.warn("Whitelight images are not implemented with the 'resample' algorithm.") + msgs.info("Generating a whitelight image with the NGP algorithm.") out_whitelight = os.path.splitext(outfile)[0] + "_whitelight.fits" whitelight_img, _, wlwcs = make_whitelight_frompixels(raimg[onslit_gpm], decimg[onslit_gpm], wave_ext, flux_sav[resrt], np.ones(numpix), np.zeros(numpix), dspat) @@ -1536,15 +1599,23 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): img_hdu = fits.PrimaryHDU(whitelight_img.T, header=wlwcs.to_header()) img_hdu.writeto(out_whitelight, overwrite=overwrite) # Make the datacube - slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) - numwav = int((np.max(waveimg) - wave0) / dwv) - bins = spec.get_datacube_bins(slitlength, minmax, numwav) - msgs.info("Generating pixel coordinates") - pix_coord = frame_wcs.wcs_world2pix(np.vstack((raimg[onslit_gpm], decimg[onslit_gpm], wave_ext * 1.0E-10)).T, 0) - hdr = frame_wcs.to_header() - generate_cube_ngp(outfile, hdr, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), pix_coord, bins, - overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname) + if method == 'resample': + # TODO :: FILL IN THIS CODE + generate_cube_resample(outfile, hdr, + overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + fluxcal=fluxcal, specname=specname) + elif method == 'ngp': + slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) + numwav = int((np.max(waveimg) - wave0) / dwv) + bins = spec.get_datacube_bins(slitlength, minmax, numwav) + msgs.info("Generating pixel coordinates") + pix_coord = frame_wcs.wcs_world2pix(np.vstack((raimg[onslit_gpm], decimg[onslit_gpm], wave_ext * 1.0E-10)).T, 0) + hdr = frame_wcs.to_header() + generate_cube_ngp(outfile, hdr, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), pix_coord, bins, + overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + fluxcal=fluxcal, specname=specname) + else: + msgs.error(f"The following method is not yet implemented: {method}") continue # Store the information diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index d7d8070eeb..5c1091fd02 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1315,7 +1315,7 @@ class CubePar(ParSet): """ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_filename=None, - standard_cube=None, reference_image=None, save_whitelight=None, + standard_cube=None, reference_image=None, save_whitelight=None, method=None, ra_min=None, ra_max=None, dec_min=None, dec_max=None, wave_min=None, wave_max=None, spatial_delta=None, wave_delta=None, astrometric=None, grating_corr=None, scale_corr=None, skysub_frame=None): @@ -1383,6 +1383,19 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f 'ranges. If combine=False, the individual spec3d files will have a suffix ' \ '"_whitelight".' + defaults['method'] = "resample" + dtypes['method'] = str + descr['method'] = 'What method should be used to generate the datacube. There are currently two options:' \ + '(1) "resample" (default) - this algorithm resamples the spec2d frames into a datacube. ' \ + 'Flux is conserved, but pixels are correlated, and the error spectrum does not account ' \ + 'for covariance between neighbouring pixels. ' \ + '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ + 'conserved, pixels are not correlated, however this option suffers the same downsides as ' \ + 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ + 'takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the ' \ + 'datacube. Depending on the binning used, some voxels may be empty (zero flux) while a ' \ + 'neighbouring voxel might contain the flux from two spec2d pixels.' + defaults['ra_min'] = None dtypes['ra_min'] = float descr['ra_min'] = 'Minimum RA to use when generating the WCS. If None, the default is minimum RA ' \ From ea7884f4997b041deec1e1267bbf6af6617b100a Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sat, 15 Oct 2022 21:19:36 +0100 Subject: [PATCH 004/308] update changes --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index 5207bb59fc..c5ddd53fdb 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -15,6 +15,7 @@ function computation and flux calibration. - Added spectral flexure and reference frame corrections for IFU data - Allow separate sky frame to be used for sky subtraction with IFU data +- Implemented a resample algorithm when generating datacubes 1.10.0 (11 July 2022) From a8a6a07188d56349b53bebd667299cd326a23d6f Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sat, 15 Oct 2022 21:24:58 +0100 Subject: [PATCH 005/308] shapely --- pypeit/core/datacube.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index eb6727bda4..8f4cd69c7d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -24,6 +24,12 @@ from pypeit.core.procimg import grow_mask from pypeit.spectrographs.util import load_spectrograph +# Shapely is needed if using the resample algorithm +try: + import shapely +except ImportError: + shapely = None + from IPython import embed @@ -1176,14 +1182,13 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Determine what method is requested if method == "resample": - try: - import shapely + if shapely is None: + msgs.error("To use the 'resample' algorithm to make your datacube, you need to install shapely.") + else: msgs.info("Adopting the 'resample' algorithm to generate the datacube.") if combine: - msgs.warn("Cannot combine cubes with the 'resample' algorithm - generating individual cubes.") + msgs.warn("Cannot combine cubes with the 'resample' algorithm - generating individual datacubes.") combine = False - except ImportError: - msgs.error("To use the 'resample' algorithm to make your datacube, you need to install shapely.") elif method == "ngp": msgs.info("Adopting the nearest grid point (NGP) algorithm to generate the datacube.") else: From 39ea6904cb4da2385324ea5d20bf2da619af2572 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sun, 16 Oct 2022 09:11:49 +0100 Subject: [PATCH 006/308] docs --- pypeit/core/datacube.py | 43 ++++++++++++++++++++++++++++++++--------- 1 file changed, 34 insertions(+), 9 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 8f4cd69c7d..e225b42cfb 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -993,17 +993,35 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_resample(outfile, hdr, +def generate_cube_resample(outfile, frame_wcs, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ - Save a datacube using the Nearest Grid Point (NGP) algorithm. + Save a datacube using the resample algorithm. + + This function takes the fully calibrated input data, and resamples + all slices onto a regular 3D grid, while conserving flux. Note that + the final datacube has correlations between voxels, and this covariance + information is not saved. Args: outfile (`str`): Filename to be used to save the datacube - hdr (`astropy.io.fits.header_`): - Header of the output datacube (must contain WCS) + frame_wcs (`astropy.wcs.wcs.WCS`_): + World coordinate system for this frame. + fluximg (`numpy.ndarray`_): + Surface brightness of each pixel in the frame (units = erg/s/cm^2/A/arcsec^2) + ivarimg (`numpy.ndarray`_): + Inverse variance of each pixel in the frame + raimg (`numpy.ndarray`_): + Right ascension of each pixel in the frame (units = decimal degrees) + decimg (`numpy.ndarray`_): + Declination of each pixel in the frame (units = decimal degrees) + waveimg (`numpy.ndarray`_): + Wavelength of each pixel in the frame (units = Angstroms) + slitimg (`numpy.ndarray`_): + Slit image. -1 is not on a slit (or a masked pixel), and all other + pixels are labelled with their spatial IDs. blaze_wave (`numpy.ndarray`_, optional): Wavelength array of the spectral blaze function blaze_spec (`numpy.ndarray`_, optional): @@ -1603,16 +1621,23 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Saving white light image as: {0:s}".format(out_whitelight)) img_hdu = fits.PrimaryHDU(whitelight_img.T, header=wlwcs.to_header()) img_hdu.writeto(out_whitelight, overwrite=overwrite) + # Get the coordinate bounds + slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) + numwav = int((np.max(waveimg) - wave0) / dwv) + bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube if method == 'resample': - # TODO :: FILL IN THIS CODE - generate_cube_resample(outfile, hdr, + fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) + fluximg[onslit_gpm] = flux_sav[resrt] + ivarimg[onslit_gpm] = ivar_sav[resrt] + # Get the slit image and then unset pixels in the slit image that are bad + slitimg = slitid_img_init.copy() + slitimg[~onslit_gpm] = -1 + # Now generate the cube + generate_cube_resample(outfile, frame_wcs, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) elif method == 'ngp': - slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) - numwav = int((np.max(waveimg) - wave0) / dwv) - bins = spec.get_datacube_bins(slitlength, minmax, numwav) msgs.info("Generating pixel coordinates") pix_coord = frame_wcs.wcs_world2pix(np.vstack((raimg[onslit_gpm], decimg[onslit_gpm], wave_ext * 1.0E-10)).T, 0) hdr = frame_wcs.to_header() From 33cdb7f6ebb86b113bba31822a1f36172142cf8e Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sun, 16 Oct 2022 20:07:58 +0100 Subject: [PATCH 007/308] method --- pypeit/par/pypeitpar.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 5c1091fd02..ccf72d5366 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1481,7 +1481,7 @@ def from_dict(cls, cfg): # Basic keywords parkeys = ['slit_spec', 'output_filename', 'standard_cube', 'reference_image', - 'save_whitelight', 'ra_min', 'ra_max', 'dec_min', 'dec_max', 'wave_min', 'wave_max', + 'save_whitelight', 'method', 'ra_min', 'ra_max', 'dec_min', 'dec_max', 'wave_min', 'wave_max', 'spatial_delta', 'wave_delta', 'relative_weights', 'combine', 'astrometric', 'grating_corr', 'scale_corr', 'skysub_frame'] From 58323eea16b8d468e16bf1bd9781b40fdc53093e Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sun, 16 Oct 2022 21:11:12 +0100 Subject: [PATCH 008/308] plan --- pypeit/core/datacube.py | 100 +++++++++++++++++++++++++++++++--------- 1 file changed, 78 insertions(+), 22 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index e225b42cfb..3ee89e6e1e 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -13,7 +13,7 @@ from astropy.coordinates import AltAz, SkyCoord from astropy.io import fits import scipy.optimize as opt -from scipy.interpolate import interp1d +from scipy.interpolate import interp1d, RegularGridInterpolator import numpy as np from pypeit import msgs @@ -993,7 +993,7 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_resample(outfile, frame_wcs, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, +def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ @@ -1009,6 +1009,8 @@ def generate_cube_resample(outfile, frame_wcs, fluximg, ivarimg, raimg, decimg, Filename to be used to save the datacube frame_wcs (`astropy.wcs.wcs.WCS`_): World coordinate system for this frame. + slits (:class:`pypeit.slittrace.SlitTraceSet`_) + Information stored about the slits fluximg (`numpy.ndarray`_): Surface brightness of each pixel in the frame (units = erg/s/cm^2/A/arcsec^2) ivarimg (`numpy.ndarray`_): @@ -1035,16 +1037,65 @@ def generate_cube_resample(outfile, frame_wcs, fluximg, ivarimg, raimg, decimg, debug (bool, optional): Debug the code by writing out a residuals cube? """ - - # Using X (spatial) pixel coordinates and Wavelength, generate spline to Y (spectral) pixel coordinates - - # Find the X Y position for constant wavelength - # -> get RA and DEC given X, Y values. - # -> from RA and DEC of the left slit edge (corresponding to X0 and Y0), calculate delta arcsec along the constant wavelength slice. - # -> Create a spline to predict X1 pixel given the delta arcseconds from the left slit edge. - # -> We now have two splines (one to give X1, and another to give Y1), and an X0, Y0 (of the left edge). - # -> Use this information to create the X,Y grid points of the final resampled data - # -> Use shapely to get overlapping area of each individual pixel and the resampled quadrangles. + embed() + from shapely.geometry import Polygon, Box + from shapely.strtree import STRtree + # Extract some convenience variables + out_del_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) + out_min_wave = 1.0E10 * frame_wcs.wcs.crval[2] # Angstroms + out_max_wave = np.max(waveimg) + out_del_wave = 1.0E10 * frame_wcs.wcs.cd[2,2] # Angstroms + + nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size # Detector spectal/spatial pixels and number of slices + # Generate the output datacube + nvox_spat = + nvox_wave = + datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) + varcube = np.zeros_like(datcube) + + # X and Y pixel coordinates for every detector pixel + xx, yy = np.meshgrid(np.arange(nspat), np.arange(nspec), indexing='ij', sparse=True) + # Generate a linear regular spline between X pixel and wavelength, mapped to Y pixel + ypix_spline = RegularGridInterpolator((xx, waveimg), yy, method="linear", bounds_error=False, fill_value=-1) + + # Loop through all slices and fill in the datacube elements + for sl, spat_id in enumerate(slits.spat_id): + # Generate a list of all detector pixels in this slice + detpix_polys = [] + pix_spec, pix_spat = np.where(slitimg == spat_id) + for ss in range(pix_spat.size): + detpix_polys.append(Box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) + # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels + detgeom = STRtree(detpix_polys) + # Loop through all voxels for this slice and calculate the overlapping area + for wv in range(nvox_wave): + for sp in range(nvox_spat): + # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) + voxel_geom = Polygon([(-1, -1), (2, 0), (2, 2), (-1, 2)]) + # Find overlapping detector pixels + result = detgeom.query(voxel_geom) + # Sum all overlapping flux-weighted areas + this_flx = 0 + this_var = 0 + for pp in range(len(result)): + # polys[0] in result + this_flx += + this_var += + # Fill in the datacube + datcube[sl, sp, wv] = this_flx + varcube[sl, sp, wv] = this_var + + + # Create spline of RAimg and DECimg + # Evaluate RA/DEC at the centre of the slice (this is the same along the entire trace ==> (RA_0, DEC_0)) + # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) + # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. + # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. + # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) + # Use the WCS (which contains the astrometric transform) to go from world to pix + # i.e. need to invert this: + # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) + # This gives us the x,y detector positions of the voxel geometry # TODO :: Write out a residuals cube if debug: @@ -1326,7 +1377,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): if cubepar['skysub_frame'] in [None, 'none', '', 'None']: skysub_default = "none" skysubImgDef = np.array([0.0]) # Do not perform sky subtraction - elif cubepar['skysub_frame'].lower() != "image": + elif cubepar['skysub_frame'].lower() == "image": + skysub_default = "image" + else: msgs.info("Loading default image for sky subtraction:" + msgs.newline() + cubepar['skysub_frame']) try: @@ -1336,8 +1389,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): skysubImgDef = spec2DObj.skymodel/skysub_exptime # Sky counts/second except: msgs.error("Could not load skysub image from spec2d file:" + msgs.newline() + cubepar['skysub_frame']) - else: - msgs.error("Could not determine the skysub method:" + msgs.newline() + cubepar['skysub_frame']) + # Load all spec2d files and prepare the data for making a datacube for ff, fil in enumerate(files): # Load it up @@ -1479,17 +1531,18 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): if dspat is None: dspat = max(pxscl, slscl) if pxscl > dspat: - msgs.warn("Spatial scale requested ({0:f}'') is less than the pixel scale ({1:f}'')".format(dspat,pxscl)) - if pxscl > dspat: + msgs.warn("Spatial scale requested ({0:f}'') is less than the pixel scale ({1:f}'')".format(dspat, pxscl)) + if slscl > dspat: msgs.warn("Spatial scale requested ({0:f}'') is less than the slicer scale ({1:f}'')".format(dspat, slscl)) # Loading the alignments frame for these data astrometric = cubepar['astrometric'] - msgs.info("Loading alignments") - alignfile = masterframe.construct_file_name(alignframe.Alignments, hdr['TRACMKEY'], master_dir=hdr['PYPMFDIR']) alignments = None - if cubepar['astrometric']: + if astrometric: + alignfile = masterframe.construct_file_name(alignframe.Alignments, hdr['TRACMKEY'], + master_dir=hdr['PYPMFDIR']) if os.path.exists(alignfile) and cubepar['astrometric']: + msgs.info("Loading alignments") alignments = alignframe.Alignments.from_file(alignfile) else: msgs.warn("Could not find Master Alignment frame:"+msgs.newline()+alignfile) @@ -1591,7 +1644,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): ivar_sav = ivar_ext[wvsrt] / ext_corr ** 2 # Convert units to Counts/s/Ang/arcsec2 - scl_units = dwav_ext[wvsrt] * 3600.0 * 3600.0 * (frame_wcs.wcs.cdelt[0] * frame_wcs.wcs.cdelt[1]) + # Slicer sampling * spatial pixel sampling + pix_degsq = np.sqrt(frame_wcs.wcs.cd[0, 0] ** 2 + frame_wcs.wcs.cd[1, 0] ** 2) * \ + np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) + scl_units = dwav_ext[wvsrt] * 3600.0 * 3600.0 * pix_degsq flux_sav /= scl_units ivar_sav *= scl_units ** 2 @@ -1634,7 +1690,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): slitimg = slitid_img_init.copy() slitimg[~onslit_gpm] = -1 # Now generate the cube - generate_cube_resample(outfile, frame_wcs, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, + generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) elif method == 'ngp': From 0f69eeadcbee80f66861290b911341afc0ca5af5 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Mon, 17 Oct 2022 11:35:31 +0100 Subject: [PATCH 009/308] spat scale --- pypeit/spectrographs/keck_kcwi.py | 12 ++++++++++-- pypeit/spectrographs/spectrograph.py | 8 +++++++- 2 files changed, 17 insertions(+), 3 deletions(-) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index e954ed69a4..b5693c92f8 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -797,7 +797,7 @@ def is_nasmask(hdr): """ return 'Mask' in hdr['BNASNAM'] - def get_wcs(self, hdr, slits, platescale, wave0, dwv): + def get_wcs(self, hdr, slits, platescale, wave0, dwv, spatial_scale=None): """ Construct/Read a World-Coordinate System for a frame. @@ -809,11 +809,17 @@ def get_wcs(self, hdr, slits, platescale, wave0, dwv): Slit traces. platescale (:obj:`float`): The platescale of an unbinned pixel in arcsec/pixel (e.g. - detector.platescale). + detector.platescale). See also 'spatial_scale' wave0 (:obj:`float`): The wavelength zeropoint. dwv (:obj:`float`): Change in wavelength per spectral pixel. + spatial_scale (:obj:`float`, None, optional): + The spatial scale (units=arcsec/pixel) of the WCS to be used. + This variable is fixed, and is independent of the binning. + If spatial_scale is set, it will be used for the spatial size + of the WCS and the platescale will be ignored. If None, then + the platescale will be used. Returns: `astropy.wcs.wcs.WCS`_: The world-coordinate system. @@ -825,6 +831,8 @@ def get_wcs(self, hdr, slits, platescale, wave0, dwv): # Get the pixel and slice scales pxscl = platescale * binspat / 3600.0 # Need to convert arcsec to degrees slscl = self.get_meta_value([hdr], 'slitwid') + if spatial_scale is not None: + pxscl = spatial_scale / 3600.0 # Need to convert arcsec to degrees # Get the typical slit length (this changes by ~0.3% over all slits, so a constant is fine for now) slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 63d1bd5446..0c1f6c2400 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -1260,7 +1260,7 @@ def get_meta_value(self, inp, meta_key, required=False, # Return return retvalue - def get_wcs(self, hdr, slits, platescale, wave0, dwv): + def get_wcs(self, hdr, slits, platescale, wave0, dwv, spatial_scale=None): """ Construct/Read a World-Coordinate System for a frame. @@ -1279,6 +1279,12 @@ def get_wcs(self, hdr, slits, platescale, wave0, dwv): The wavelength zeropoint. dwv (:obj:`float`): Change in wavelength per spectral pixel. + spatial_scale (:obj:`float`, None, optional): + The spatial scale (units=arcsec/pixel) of the WCS to be used. + This variable is fixed, and is independent of the binning. + If spatial_scale is set, it will be used for the spatial size + of the WCS and the platescale will be ignored. If None, then + the platescale will be used. Returns: `astropy.wcs.wcs.WCS`_: The world-coordinate system. From 305d0ca4378ad72cab9865ecf4d843840a1f1ab9 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Mon, 17 Oct 2022 11:49:22 +0100 Subject: [PATCH 010/308] updates --- pypeit/core/datacube.py | 36 ++++++++++++++++++++----------- pypeit/slittrace.py | 4 ---- pypeit/spectrographs/keck_kcwi.py | 7 ++++-- 3 files changed, 29 insertions(+), 18 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 3ee89e6e1e..18f521ff37 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -993,7 +993,7 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, +def generate_cube_resample(outfile, cubepar, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ @@ -1040,23 +1040,33 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d embed() from shapely.geometry import Polygon, Box from shapely.strtree import STRtree - # Extract some convenience variables + # Set spatial grid out_del_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) - out_min_wave = 1.0E10 * frame_wcs.wcs.crval[2] # Angstroms - out_max_wave = np.max(waveimg) - out_del_wave = 1.0E10 * frame_wcs.wcs.cd[2,2] # Angstroms - nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size # Detector spectal/spatial pixels and number of slices + # Detector spectal/spatial pixels and number of slices + nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size + + # Set wavelength grid of the output datacube + out_min_wave = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] + out_max_wave = cubepar['wave_max'] if cubepar['wave_max'] is not None else np.max(waveimg) + out_del_wave = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] + nvox_wave = int(np.ceil((out_max_wave-out_min_wave)/out_del_wave)) + # Generate the output datacube - nvox_spat = - nvox_wave = + nvox_spat = 1 datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) varcube = np.zeros_like(datcube) # X and Y pixel coordinates for every detector pixel xx, yy = np.meshgrid(np.arange(nspat), np.arange(nspec), indexing='ij', sparse=True) # Generate a linear regular spline between X pixel and wavelength, mapped to Y pixel - ypix_spline = RegularGridInterpolator((xx, waveimg), yy, method="linear", bounds_error=False, fill_value=-1) + spl_ra = RegularGridInterpolator((xx, yy), raimg, method="linear", bounds_error=False, fill_value=-1) + spl_dec = RegularGridInterpolator((xx, yy), decimg, method="linear", bounds_error=False, fill_value=-1) + + # Find the central trace + #Need to invert the WCS to get evalpos=0.5 (probably by a spline) + #slitID, evalpos, tilts*(nspec-1) = wcs.wcs_world2pix(ra, dec, wavelength, 0) + #world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) # Loop through all slices and fill in the datacube elements for sl, spat_id in enumerate(slits.spat_id): @@ -1079,8 +1089,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d this_var = 0 for pp in range(len(result)): # polys[0] in result - this_flx += - this_var += + this_flx += 0 + this_var += 0 # Fill in the datacube datcube[sl, sp, wv] = this_flx varcube[sl, sp, wv] = this_var @@ -1689,8 +1699,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Get the slit image and then unset pixels in the slit image that are bad slitimg = slitid_img_init.copy() slitimg[~onslit_gpm] = -1 + # Generate the output WCS + datacube_WCS = make_datacube_wcs(cubepar, spec2DObj.head0, slits, detector.platescale, wave0, dwv) # Now generate the cube - generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, + generate_cube_resample(outfile, frame_wcs, datacube_WCS, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) elif method == 'ngp': diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 832936a3dc..c3a826ca1a 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -434,10 +434,6 @@ def get_radec_image(self, wcs, alignments, tilts, locations, locations : `numpy.ndarray`_, list locations along the slit of the alignment traces. Must be a 1D array of the same length as alignments.traces.shape[1] - maxslitlen : int - This is the slit length in pixels, and it should be the same - value that was passed to get_wcs() to generate the WCS that - is passed into this function as an argument. astrometric : bool Perform astrometric correction using alignment frame? initial : bool diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index b5693c92f8..4e7ced42c9 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -829,10 +829,13 @@ def get_wcs(self, hdr, slits, platescale, wave0, dwv, spatial_scale=None): binspec, binspat = parse.parse_binning(self.get_meta_value([hdr], 'binning')) # Get the pixel and slice scales - pxscl = platescale * binspat / 3600.0 # Need to convert arcsec to degrees + pxscl = platescale * binspat / 3600.0 # 3600 is to convert arcsec to degrees slscl = self.get_meta_value([hdr], 'slitwid') if spatial_scale is not None: - pxscl = spatial_scale / 3600.0 # Need to convert arcsec to degrees + if pxscl > spatial_scale / 3600.0: + msgs.warn("Spatial scale requested ({0:f}'') is less than the pixel scale ({1:f}'')".format(spatial_scale, pxscl*3600.0)) + # Update the pixel scale + pxscl = spatial_scale / 3600.0 # 3600 is to convert arcsec to degrees # Get the typical slit length (this changes by ~0.3% over all slits, so a constant is fine for now) slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) From 8b75b7e026cb4025fefa47c952e64ed48663d42e Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Mon, 17 Oct 2022 19:39:38 +0100 Subject: [PATCH 011/308] voxel --- pypeit/core/datacube.py | 124 ++++++++++++++++++++++++++++++---------- 1 file changed, 95 insertions(+), 29 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 18f521ff37..dfa295a830 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -899,6 +899,37 @@ def generate_masterWCS(crval, cdelt, equinox=2000.0, name="Instrument Unknown"): return w +def generate_spec_wcs(cubepar, hdr, slits, platescale, wave0, dwv, spatial_scale=None): + """ + Construct/Read a World-Coordinate System for a frame. + + Args: + cubepar (:class:`~pypeit.par.pypeitpar.PypeItPar`): + The Cube data reduction parameters + hdr (`astropy.io.fits.Header`_): + The header of the raw frame. The information in this + header will be extracted and returned as a WCS. + slits (:class:`~pypeit.slittrace.SlitTraceSet`): + Slit traces. + platescale (:obj:`float`): + The platescale of an unbinned pixel in arcsec/pixel (e.g. + detector.platescale). See also 'spatial_scale' + wave0 (:obj:`float`): + The wavelength zeropoint. + dwv (:obj:`float`): + Change in wavelength per spectral pixel. + spatial_scale (:obj:`float`, None, optional): + The spatial scale (units=arcsec/pixel) of the WCS to be used. + This variable is fixed, and is independent of the binning. + If spatial_scale is set, it will be used for the spatial size + of the WCS and the platescale will be ignored. If None, then + the platescale will be used. + + Returns: + `astropy.wcs.wcs.WCS`_: The world-coordinate system. + """ + + def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, whitelight_img, dspat, dwv, sn_smooth_npix=None, relative_weights=False): """ Calculate wavelength dependent optimal weights. The weighting @@ -993,8 +1024,8 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_resample(outfile, cubepar, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, - overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, +def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, + overwrite=False, output_wcs=None, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ Save a datacube using the resample algorithm. @@ -1024,6 +1055,10 @@ def generate_cube_resample(outfile, cubepar, frame_wcs, slits, fluximg, ivarimg, slitimg (`numpy.ndarray`_): Slit image. -1 is not on a slit (or a masked pixel), and all other pixels are labelled with their spatial IDs. + overwrite (bool, optional): + If the output file exists, it will be overwritten if this parameter is True. + output_wcs (`astropy.wcs.wcs.WCS`_, optional): + World coordinate system for the output datacube. If None, frame_wcs will be used. blaze_wave (`numpy.ndarray`_, optional): Wavelength array of the spectral blaze function blaze_spec (`numpy.ndarray`_, optional): @@ -1037,36 +1072,64 @@ def generate_cube_resample(outfile, cubepar, frame_wcs, slits, fluximg, ivarimg, debug (bool, optional): Debug the code by writing out a residuals cube? """ + # Set the output_wcs if it's not already set + if output_wcs is None: + output_wcs = frame_wcs embed() - from shapely.geometry import Polygon, Box + assert(False) + from shapely.geometry import Polygon, box as shapelyBox from shapely.strtree import STRtree - # Set spatial grid - out_del_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) + # Get the grid spacing along the spatial direction + frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) + out_cd_spat = np.sqrt(output_wcs.wcs.cd[1, 1] ** 2 + output_wcs.wcs.cd[0, 1] ** 2) + slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) + nvox_spat = int(np.ceil(slitlength*frm_cd_spat/out_cd_spat)) + crd_vox_spat = out_cd_spat * (np.arange(nvox_spat+1) - (nvox_spat+1)// 2) # +1 to get bin edges + # Get the grid spacing along the spectral direction + out_cr_wave = 1.0E10 * output_wcs.wcs.crval[2] + out_cd_wave = 1.0E10 * output_wcs.wcs.cd[2, 2] + nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) + crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges # Detector spectal/spatial pixels and number of slices nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size - # Set wavelength grid of the output datacube - out_min_wave = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] - out_max_wave = cubepar['wave_max'] if cubepar['wave_max'] is not None else np.max(waveimg) - out_del_wave = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] - nvox_wave = int(np.ceil((out_max_wave-out_min_wave)/out_del_wave)) - # Generate the output datacube - nvox_spat = 1 datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) - varcube = np.zeros_like(datcube) + varcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) - # X and Y pixel coordinates for every detector pixel - xx, yy = np.meshgrid(np.arange(nspat), np.arange(nspec), indexing='ij', sparse=True) # Generate a linear regular spline between X pixel and wavelength, mapped to Y pixel - spl_ra = RegularGridInterpolator((xx, yy), raimg, method="linear", bounds_error=False, fill_value=-1) - spl_dec = RegularGridInterpolator((xx, yy), decimg, method="linear", bounds_error=False, fill_value=-1) + spl_ra = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), raimg, method="linear", bounds_error=False, fill_value=-1) + spl_dec = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), decimg, method="linear", bounds_error=False, fill_value=-1) - # Find the central trace - #Need to invert the WCS to get evalpos=0.5 (probably by a spline) - #slitID, evalpos, tilts*(nspec-1) = wcs.wcs_world2pix(ra, dec, wavelength, 0) - #world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) + # Transform the voxel geometry to detector pixels + ra0, dec0 = np.zeros(nslice), np.zeros(nslice) + for sl, spat_id in enumerate(slits.spat_id): + msgs.info(f"Calculating voxel geometry for slit {spat_id}") + # Calculate RA and Dec of central traces + wsl = np.where(slitimg == spat_id) + this_ra, this_dec = raimg[wsl], decimg[wsl] + _, spat_posn, slit_tilt = frame_wcs.wcs_world2pix(this_ra, this_dec, waveimg[wsl], 0) + asrt = np.argsort(spat_posn) + ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) + dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) + cosdec = np.cos(dec0[sl]*np.pi/180.0) + # Generate an offsets image + offset = np.sqrt(((this_ra-ra0[sl])*cosdec)**2 + (this_dec-dec0[sl])**2) + asrt = np.argsort(offset) + spl_ra = interp1d(offset[asrt], this_ra[asrt], kind='linear', bounds_error=False, fill_value="extrapolate") + spl_dec = interp1d(offset[asrt], this_dec[asrt], kind='linear', bounds_error=False, fill_value="extrapolate") + crd_vox_ra = spl_ra(crd_vox_spat) + crd_vox_dec = spl_dec(crd_vox_spat) + + # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) + # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. + # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. + # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) + # Use the WCS (which contains the astrometric transform) to go from world to pix + # i.e. need to invert this: + # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) + # This gives us the x,y detector positions of the voxel geometry # Loop through all slices and fill in the datacube elements for sl, spat_id in enumerate(slits.spat_id): @@ -1074,7 +1137,7 @@ def generate_cube_resample(outfile, cubepar, frame_wcs, slits, fluximg, ivarimg, detpix_polys = [] pix_spec, pix_spat = np.where(slitimg == spat_id) for ss in range(pix_spat.size): - detpix_polys.append(Box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) + detpix_polys.append(shapelyBox(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels detgeom = STRtree(detpix_polys) # Loop through all voxels for this slice and calculate the overlapping area @@ -1655,9 +1718,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Convert units to Counts/s/Ang/arcsec2 # Slicer sampling * spatial pixel sampling - pix_degsq = np.sqrt(frame_wcs.wcs.cd[0, 0] ** 2 + frame_wcs.wcs.cd[1, 0] ** 2) * \ - np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) - scl_units = dwav_ext[wvsrt] * 3600.0 * 3600.0 * pix_degsq + sl_deg = np.sqrt(frame_wcs.wcs.cd[0, 0] ** 2 + frame_wcs.wcs.cd[1, 0] ** 2) + px_deg = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) + scl_units = dwav_ext[wvsrt] * (3600.0 * sl_deg) * (3600.0 * px_deg) flux_sav /= scl_units ivar_sav *= scl_units ** 2 @@ -1699,11 +1762,14 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Get the slit image and then unset pixels in the slit image that are bad slitimg = slitid_img_init.copy() slitimg[~onslit_gpm] = -1 - # Generate the output WCS - datacube_WCS = make_datacube_wcs(cubepar, spec2DObj.head0, slits, detector.platescale, wave0, dwv) + # Generate the output WCS for the datacube + crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] + cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] + cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg*3600.0 + output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Now generate the cube - generate_cube_resample(outfile, frame_wcs, datacube_WCS, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, - overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, + overwrite=overwrite, output_wcs=output_wcs, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) elif method == 'ngp': msgs.info("Generating pixel coordinates") From 18a42c7d4b401598319024f2e6e73c1c4f4035e4 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Mon, 17 Oct 2022 19:40:04 +0100 Subject: [PATCH 012/308] rm wcs --- pypeit/core/datacube.py | 31 ------------------------------- 1 file changed, 31 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index dfa295a830..e1da583091 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -899,37 +899,6 @@ def generate_masterWCS(crval, cdelt, equinox=2000.0, name="Instrument Unknown"): return w -def generate_spec_wcs(cubepar, hdr, slits, platescale, wave0, dwv, spatial_scale=None): - """ - Construct/Read a World-Coordinate System for a frame. - - Args: - cubepar (:class:`~pypeit.par.pypeitpar.PypeItPar`): - The Cube data reduction parameters - hdr (`astropy.io.fits.Header`_): - The header of the raw frame. The information in this - header will be extracted and returned as a WCS. - slits (:class:`~pypeit.slittrace.SlitTraceSet`): - Slit traces. - platescale (:obj:`float`): - The platescale of an unbinned pixel in arcsec/pixel (e.g. - detector.platescale). See also 'spatial_scale' - wave0 (:obj:`float`): - The wavelength zeropoint. - dwv (:obj:`float`): - Change in wavelength per spectral pixel. - spatial_scale (:obj:`float`, None, optional): - The spatial scale (units=arcsec/pixel) of the WCS to be used. - This variable is fixed, and is independent of the binning. - If spatial_scale is set, it will be used for the spatial size - of the WCS and the platescale will be ignored. If None, then - the platescale will be used. - - Returns: - `astropy.wcs.wcs.WCS`_: The world-coordinate system. - """ - - def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, whitelight_img, dspat, dwv, sn_smooth_npix=None, relative_weights=False): """ Calculate wavelength dependent optimal weights. The weighting From 7bd260823969d49ffa220f15a5251e74301558ea Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 19 Oct 2022 20:16:48 +0100 Subject: [PATCH 013/308] WCS update --- pypeit/core/datacube.py | 41 +++++++++++++++++++++++++------ pypeit/spectrographs/keck_kcwi.py | 2 +- 2 files changed, 34 insertions(+), 9 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index e1da583091..0824857500 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -889,7 +889,7 @@ def generate_masterWCS(crval, cdelt, equinox=2000.0, name="Instrument Unknown"): # Insert the coordinate frame w.wcs.cname = ['RA', 'DEC', 'Wavelength'] w.wcs.cunit = [units.degree, units.degree, units.Angstrom] - w.wcs.ctype = ["RA---TAN", "DEC--TAN", "AWAV"] + w.wcs.ctype = ["RA---TAN", "DEC--TAN", "WAVE"] w.wcs.crval = crval # RA, DEC, and wavelength zeropoints w.wcs.crpix = [0, 0, 0] # RA, DEC, and wavelength reference pixels #w.wcs.cd = np.array([[cdval[0], 0.0, 0.0], [0.0, cdval[1], 0.0], [0.0, 0.0, cdval[2]]]) @@ -1046,6 +1046,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d output_wcs = frame_wcs embed() assert(False) + from scipy.interpolate import griddata from shapely.geometry import Polygon, box as shapelyBox from shapely.strtree import STRtree # Get the grid spacing along the spatial direction @@ -1055,8 +1056,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d nvox_spat = int(np.ceil(slitlength*frm_cd_spat/out_cd_spat)) crd_vox_spat = out_cd_spat * (np.arange(nvox_spat+1) - (nvox_spat+1)// 2) # +1 to get bin edges # Get the grid spacing along the spectral direction - out_cr_wave = 1.0E10 * output_wcs.wcs.crval[2] - out_cd_wave = 1.0E10 * output_wcs.wcs.cd[2, 2] + out_cr_wave = output_wcs.wcs.crval[2] + out_cd_wave = output_wcs.wcs.cd[2, 2] nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges @@ -1072,16 +1073,26 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d spl_dec = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), decimg, method="linear", bounds_error=False, fill_value=-1) # Transform the voxel geometry to detector pixels - ra0, dec0 = np.zeros(nslice), np.zeros(nslice) + msgs.warn("ngrd_spat must be an odd number") # TODO :: NEED TO CHECK THIS BEFORE MERGING PR!!! + ngrd_spec, ngrd_spat = 1 + nspec // 20, 5 + ra0, dec0 = np.zeros((nslice, ngrd_spat)), np.zeros((nslice, ngrd_spat)) + ggrid = np.linspace(-slitlength/2, slitlength/2, ngrd_spat) for sl, spat_id in enumerate(slits.spat_id): msgs.info(f"Calculating voxel geometry for slit {spat_id}") # Calculate RA and Dec of central traces wsl = np.where(slitimg == spat_id) - this_ra, this_dec = raimg[wsl], decimg[wsl] - _, spat_posn, slit_tilt = frame_wcs.wcs_world2pix(this_ra, this_dec, waveimg[wsl], 0) + this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] + _, spat_posn, _ = frame_wcs.wcs_world2pix(this_ra, this_dec, this_wave*1.0E-10, 0) asrt = np.argsort(spat_posn) - ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) - dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) + ra0[sl, :] = np.interp(ggrid, spat_posn[asrt], this_ra[asrt]) + dec0[sl, :] = np.interp(ggrid, spat_posn[asrt], this_dec[asrt]) + # Need to solve for x,y detector coordinates for these RA/DEC values, given an ngrd_spec value + + + + + + cosdec = np.cos(dec0[sl]*np.pi/180.0) # Generate an offsets image offset = np.sqrt(((this_ra-ra0[sl])*cosdec)**2 + (this_dec-dec0[sl])**2) @@ -1090,6 +1101,20 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d spl_dec = interp1d(offset[asrt], this_dec[asrt], kind='linear', bounds_error=False, fill_value="extrapolate") crd_vox_ra = spl_ra(crd_vox_spat) crd_vox_dec = spl_dec(crd_vox_spat) + voxel_coords = np.zeros((nvox_spat + 1, nvox_wave + 1, 2)) + # Interpolate a small wavelength range at any given time for efficiency + evalpos = np.column_stack((crd_vox_ra, crd_vox_dec, np.zeros(nvox_spat + 1))) # Last entry is dummy + wdiff = 1 + for wl in range(crd_vox_spec.size): + ww = np.where((this_wave >= crd_vox_spec[wl] - wdiff * out_cd_wave) & + (this_wave <= crd_vox_spec[wl] + wdiff * out_cd_wave)) + if ww[0].size <= 5: continue + points = np.column_stack((this_ra[ww], this_dec[ww], this_wave[ww])) + evalpos[:,2] = crd_vox_spec[wl] * np.ones(nvox_spat + 1) + voxel_coords[:, wl, 0] = griddata(points, wsl[1][ww], evalpos, method='linear', fill_value=-1) # Spatial + voxel_coords[:, wl, 1] = griddata(points, wsl[0][ww], evalpos, method='linear', fill_value=-1) # Spectral + #spl_x = LinearNDInterpolator(np.column_stack((this_ra, this_dec, waveimg[wsl])), wsl[1], fill_value=-1) + #spl_y = LinearNDInterpolator(np.column_stack((this_ra, this_dec, waveimg[wsl])), wsl[1], fill_value=-1) # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 4e7ced42c9..a683db9551 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -911,7 +911,7 @@ def get_wcs(self, hdr, slits, platescale, wave0, dwv, spatial_scale=None): # Insert the coordinate frame w.wcs.cname = ['KCWI RA', 'KCWI DEC', 'KCWI Wavelength'] w.wcs.cunit = [units.degree, units.degree, units.Angstrom] - w.wcs.ctype = ["RA---TAN", "DEC--TAN", "AWAV"] + w.wcs.ctype = ["RA---TAN", "DEC--TAN", "WAVE"] # Note, WAVE is vacuum wavelength w.wcs.crval = [ra, dec, wave0] # RA, DEC, and wavelength zeropoints w.wcs.crpix = [crpix1, crpix2, crpix3] # RA, DEC, and wavelength reference pixels w.wcs.cd = np.array([[cd11, cd12, 0.0], [cd21, cd22, 0.0], [0.0, 0.0, dwv]]) From aef918e372251e58e2f1de67248ab08893a0dcf8 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Thu, 20 Oct 2022 18:21:01 +0100 Subject: [PATCH 014/308] voxels --- pypeit/core/datacube.py | 88 +++++++++++++++++++++++------------------ 1 file changed, 49 insertions(+), 39 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 0824857500..ebbdc05d61 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -993,7 +993,8 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, +def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, gpm, + grid_nspat=5, grid_specsep=20, overwrite=False, output_wcs=None, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ @@ -1022,8 +1023,16 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d waveimg (`numpy.ndarray`_): Wavelength of each pixel in the frame (units = Angstroms) slitimg (`numpy.ndarray`_): - Slit image. -1 is not on a slit (or a masked pixel), and all other + Slit image. -1 is not on a sli, and all other pixels are labelled with their spatial IDs. + gpm (`numpy.ndarray`_): + Good pixel mask (bool). True = good pixel + grid_nspat (int): + Number of grid points in the spatial direction when evaluating the + voxel geometry in detector coordinates. This should be an odd number + grid_specsep (int): + Number of pixels between each grid point in the spectral direction + when evaluating the voxel geometry in detector coordinates overwrite (bool, optional): If the output file exists, it will be overwritten if this parameter is True. output_wcs (`astropy.wcs.wcs.WCS`_, optional): @@ -1044,6 +1053,10 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # Set the output_wcs if it's not already set if output_wcs is None: output_wcs = frame_wcs + # Check that grid_nspat is an odd number + if grid_nspat%2==0: + msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") + grid_nspat += 1 embed() assert(False) from scipy.interpolate import griddata @@ -1071,12 +1084,17 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # Generate a linear regular spline between X pixel and wavelength, mapped to Y pixel spl_ra = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), raimg, method="linear", bounds_error=False, fill_value=-1) spl_dec = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), decimg, method="linear", bounds_error=False, fill_value=-1) + spl_wav = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), waveimg, method="linear", bounds_error=False, fill_value=-1) # Transform the voxel geometry to detector pixels - msgs.warn("ngrd_spat must be an odd number") # TODO :: NEED TO CHECK THIS BEFORE MERGING PR!!! - ngrd_spec, ngrd_spat = 1 + nspec // 20, 5 - ra0, dec0 = np.zeros((nslice, ngrd_spat)), np.zeros((nslice, ngrd_spat)) - ggrid = np.linspace(-slitlength/2, slitlength/2, ngrd_spat) + grid_nspec = 1 + nspec // grid_specsep + xgrid = np.zeros((grid_nspec, grid_nspat), dtype=int) + ygridt = np.zeros(grid_nspec, dtype=int) + ygridt[-1] = nspec - 1 + ygridt[1:-1] = (nspec % grid_specsep + 2 * grid_specsep) // 2 + np.arange(grid_nspec - 2) * grid_specsep + ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) + ra0, dec0 = np.zeros(nslice), np.zeros(nslice) + offsimg = np.zeros_like(waveimg) for sl, spat_id in enumerate(slits.spat_id): msgs.info(f"Calculating voxel geometry for slit {spat_id}") # Calculate RA and Dec of central traces @@ -1084,37 +1102,31 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] _, spat_posn, _ = frame_wcs.wcs_world2pix(this_ra, this_dec, this_wave*1.0E-10, 0) asrt = np.argsort(spat_posn) - ra0[sl, :] = np.interp(ggrid, spat_posn[asrt], this_ra[asrt]) - dec0[sl, :] = np.interp(ggrid, spat_posn[asrt], this_dec[asrt]) - # Need to solve for x,y detector coordinates for these RA/DEC values, given an ngrd_spec value - - - - - - - cosdec = np.cos(dec0[sl]*np.pi/180.0) - # Generate an offsets image - offset = np.sqrt(((this_ra-ra0[sl])*cosdec)**2 + (this_dec-dec0[sl])**2) - asrt = np.argsort(offset) - spl_ra = interp1d(offset[asrt], this_ra[asrt], kind='linear', bounds_error=False, fill_value="extrapolate") - spl_dec = interp1d(offset[asrt], this_dec[asrt], kind='linear', bounds_error=False, fill_value="extrapolate") - crd_vox_ra = spl_ra(crd_vox_spat) - crd_vox_dec = spl_dec(crd_vox_spat) - voxel_coords = np.zeros((nvox_spat + 1, nvox_wave + 1, 2)) - # Interpolate a small wavelength range at any given time for efficiency - evalpos = np.column_stack((crd_vox_ra, crd_vox_dec, np.zeros(nvox_spat + 1))) # Last entry is dummy - wdiff = 1 - for wl in range(crd_vox_spec.size): - ww = np.where((this_wave >= crd_vox_spec[wl] - wdiff * out_cd_wave) & - (this_wave <= crd_vox_spec[wl] + wdiff * out_cd_wave)) - if ww[0].size <= 5: continue - points = np.column_stack((this_ra[ww], this_dec[ww], this_wave[ww])) - evalpos[:,2] = crd_vox_spec[wl] * np.ones(nvox_spat + 1) - voxel_coords[:, wl, 0] = griddata(points, wsl[1][ww], evalpos, method='linear', fill_value=-1) # Spatial - voxel_coords[:, wl, 1] = griddata(points, wsl[0][ww], evalpos, method='linear', fill_value=-1) # Spectral - #spl_x = LinearNDInterpolator(np.column_stack((this_ra, this_dec, waveimg[wsl])), wsl[1], fill_value=-1) - #spl_y = LinearNDInterpolator(np.column_stack((this_ra, this_dec, waveimg[wsl])), wsl[1], fill_value=-1) + ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) + dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) + # Generate the offsets + cosdec = np.cos(dec0[sl] * np.pi / 180.0) + offsimg[wsl] = np.sqrt(((this_ra - ra0[sl]) * cosdec) ** 2 + (this_dec - dec0[sl]) ** 2) + # Update the xgrid values for this slice + for yy in range(ngrd_spec): + wsl = np.where(slitimg == spat_id) + allind = wsl[1][np.where(wsl[0] == ygridt[yy])] + xgrid[yy, 0] = np.min(allind) + xgrid[yy, -1] = np.max(allind) + numpix = xgrid[yy, -1] - xgrid[yy, 0] + sep = numpix // (ngrd_spat - 1) + xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(ngrd_spat - 2) * sep + #  Extract offset + wavelength information and estimate transform + grid_coord = (ygrid.flatten(), xgrid.flatten()) + grid_offs = offsimg[grid_coord] + grid_wave = waveimg[grid_coord] + src = np.column_stack((grid_wave, grid_offs)) + dst = np.column_stack(grid_coord) + tform = transform.estimate_transform('polynomial', src, dst, order=1) + # Transform the voxel coordinates to detector coordinates + evalpos = np.column_stack((crd_vox_spec[:,np.newaxis].repeat(crd_vox_spat.size, axis=1).flatten(), + crd_vox_spec[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) + crd_det = tform(evalpos) # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. @@ -1125,8 +1137,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) # This gives us the x,y detector positions of the voxel geometry - # Loop through all slices and fill in the datacube elements - for sl, spat_id in enumerate(slits.spat_id): # Generate a list of all detector pixels in this slice detpix_polys = [] pix_spec, pix_spat = np.where(slitimg == spat_id) From afa75ebec114f23d15757bbb4d30018e361d5212 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sun, 23 Oct 2022 21:59:53 +0100 Subject: [PATCH 015/308] almost --- pypeit/core/datacube.py | 161 ++++++++++++++++++++++++++++++++++------ 1 file changed, 139 insertions(+), 22 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ebbdc05d61..e4383a99ad 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -13,7 +13,7 @@ from astropy.coordinates import AltAz, SkyCoord from astropy.io import fits import scipy.optimize as opt -from scipy.interpolate import interp1d, RegularGridInterpolator +from scipy.interpolate import interp1d, RegularGridInterpolator, LinearNDInterpolator import numpy as np from pypeit import msgs @@ -1054,14 +1054,15 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d if output_wcs is None: output_wcs = frame_wcs # Check that grid_nspat is an odd number - if grid_nspat%2==0: + if grid_nspat%2 == 0: msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") grid_nspat += 1 embed() assert(False) - from scipy.interpolate import griddata from shapely.geometry import Polygon, box as shapelyBox from shapely.strtree import STRtree + from scipy.interpolate import RBFInterpolator + debug = False # Get the grid spacing along the spatial direction frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) out_cd_spat = np.sqrt(output_wcs.wcs.cd[1, 1] ** 2 + output_wcs.wcs.cd[0, 1] ** 2) @@ -1073,6 +1074,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d out_cd_wave = output_wcs.wcs.cd[2, 2] nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges + vox_shape = (nvox_wave+1, nvox_spat+1) # Detector spectal/spatial pixels and number of slices nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size @@ -1081,11 +1083,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) varcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) - # Generate a linear regular spline between X pixel and wavelength, mapped to Y pixel - spl_ra = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), raimg, method="linear", bounds_error=False, fill_value=-1) - spl_dec = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), decimg, method="linear", bounds_error=False, fill_value=-1) - spl_wav = RegularGridInterpolator((np.arange(nspec), np.arange(nspat)), waveimg, method="linear", bounds_error=False, fill_value=-1) - # Transform the voxel geometry to detector pixels grid_nspec = 1 + nspec // grid_specsep xgrid = np.zeros((grid_nspec, grid_nspat), dtype=int) @@ -1095,6 +1092,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) ra0, dec0 = np.zeros(nslice), np.zeros(nslice) offsimg = np.zeros_like(waveimg) + sl, spat_id = 0, slits.spat_id[0] # TODO :: REMOVE THIS LINE OF CODE! for sl, spat_id in enumerate(slits.spat_id): msgs.info(f"Calculating voxel geometry for slit {spat_id}") # Calculate RA and Dec of central traces @@ -1106,27 +1104,45 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) # Generate the offsets cosdec = np.cos(dec0[sl] * np.pi / 180.0) - offsimg[wsl] = np.sqrt(((this_ra - ra0[sl]) * cosdec) ** 2 + (this_dec - dec0[sl]) ** 2) + diff_ra, diff_dec = (this_ra - ra0[sl]) * cosdec, this_dec - dec0[sl] + if np.max(diff_ra)-np.min(diff_ra) > np.max(diff_dec)-np.min(diff_dec): + sgn = np.sign(diff_ra) + else: + sgn = np.sign(diff_dec) + offsimg[wsl] = -sgn * np.sqrt(diff_ra**2 + diff_dec**2) # Update the xgrid values for this slice - for yy in range(ngrd_spec): + for yy in range(grid_nspec): wsl = np.where(slitimg == spat_id) allind = wsl[1][np.where(wsl[0] == ygridt[yy])] xgrid[yy, 0] = np.min(allind) xgrid[yy, -1] = np.max(allind) numpix = xgrid[yy, -1] - xgrid[yy, 0] - sep = numpix // (ngrd_spat - 1) - xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(ngrd_spat - 2) * sep + sep = numpix // (grid_nspat - 1) + xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(grid_nspat - 2) * sep #  Extract offset + wavelength information and estimate transform grid_coord = (ygrid.flatten(), xgrid.flatten()) grid_offs = offsimg[grid_coord] grid_wave = waveimg[grid_coord] src = np.column_stack((grid_wave, grid_offs)) - dst = np.column_stack(grid_coord) - tform = transform.estimate_transform('polynomial', src, dst, order=1) + dst = np.column_stack(grid_coord).astype(float) # Transform the voxel coordinates to detector coordinates evalpos = np.column_stack((crd_vox_spec[:,np.newaxis].repeat(crd_vox_spat.size, axis=1).flatten(), - crd_vox_spec[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) - crd_det = tform(evalpos) + crd_vox_spat[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) + # tform = LinearNDInterpolator(src, dst, rescale=True) + # crd_det_tmp = tform(evalpos) + + src_off = np.min(src, axis=0) + src_scl = np.max(src-src_off, axis=0) + dst_off = np.min(dst, axis=0) + dst_scl = np.max(dst-dst_off, axis=0) + tform = RBFInterpolator((src-src_off)/src_scl, (dst-dst_off)/dst_scl, smoothing=0.01) + crd_det = dst_off + dst_scl * tform((evalpos-src_off)/src_scl) + if debug: + plt.plot(crd_det[:, 0], crd_det[:, 1], 'rx') + #plt.plot(crd_det_tmp[:, 0], crd_det_tmp[:, 1], 'bx') + plt.plot(np.arange(slits.left_init.shape[0]), slits.left_init[:, 0], 'k-') + plt.plot(np.arange(slits.right_init.shape[0]), slits.right_init[:, 0], 'k-') + plt.show() # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. @@ -1136,7 +1152,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # i.e. need to invert this: # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) # This gives us the x,y detector positions of the voxel geometry - + vox_shape = (nvox_wave+1, nvox_spat+1) + crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) # Generate a list of all detector pixels in this slice detpix_polys = [] pix_spec, pix_spat = np.where(slitimg == spat_id) @@ -1148,15 +1165,21 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d for wv in range(nvox_wave): for sp in range(nvox_spat): # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) - voxel_geom = Polygon([(-1, -1), (2, 0), (2, 2), (-1, 2)]) + voxel_geom = Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), + (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), + (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), + (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), + (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) # Find overlapping detector pixels result = detgeom.query(voxel_geom) # Sum all overlapping flux-weighted areas this_flx = 0 this_var = 0 for pp in range(len(result)): - # polys[0] in result - this_flx += 0 + area = voxel_geom.intersection(result[pp]).area + pix_spat = int(min(result[pp].exterior.coords[0][0], result[pp].exterior.coords[2][0])) + pix_spec = int(min(result[pp].exterior.coords[0][1], result[pp].exterior.coords[2][1])) + this_flx += area * fluximg[pix_spec, pix_spat] this_var += 0 # Fill in the datacube datcube[sl, sp, wv] = this_flx @@ -1182,6 +1205,101 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # TODO :: Write out the datacube +class Linear2DInterpolator(object): + """ + An extension of *LinearNDInterpolator* in 2D that + extrapolates (linearly) outside of the convex hull. + Nearest simplex is used for that, which might not be + the best choice, but it's the simplest one. + + Largely taken from the following, with some modifications to allow rescaling: + https://gist.github.com/tunnell/90a83b7e1f894e8f882a029caece447b + """ + + def __init__(self, points, values): + self.lndi = LinearNDInterpolator(points, values) + hull = self.lndi.tri.convex_hull.tolist() + # Build a mask showing if a simplex has a side that + # is in the convex hull. + self.is_convex_simplex = np.zeros(len(self.lndi.tri.simplices), + dtype=bool) + for irow, row in enumerate(self.lndi.tri.simplices): + rrow = row[[0, 1, 2, 0]] + for pos in range(3): + if rrow[pos:pos + 2].tolist() in hull or \ + rrow[[pos + 1, pos]].tolist() in hull: + self.is_convex_simplex[irow] = True + + def __call__(self, xi): + """ + Predict values at points *xi* + """ + result = self.lndi(xi) + mask = np.isnan(result.sum(axis=1)) + if not np.any(mask): + # All points are within the convex hull - nothing to do more. + return result + simplices = [] + + # Build a list of nearest simplices for points outside + # the convex hull + for i, drow in enumerate(self.lndi.tri.plane_distance(xi[mask])): + + mi = np.max(drow[self.is_convex_simplex]) # Fixed if nearested isn't on hull + w = np.where(drow == mi)[0] + + if len(w) == 1 and self.is_convex_simplex[w]: + simplices.append(w) + elif len(w) > 1: + ww = w[self.is_convex_simplex[w]][0] + simplices.append(ww) + else: + raise ValueError + + simplices = np.array(simplices) + result_update = np.zeros((mask.sum(), 2)) # fixed + for simple in np.unique(simplices): + indices = np.where(simplices == simple)[0] + result_update[indices] = self._get_simplex_at_point(simple, xi[mask][indices]) + + result[mask] = result_update + return result + + def _get_simplex_at_point(self, ind, point): + """ + Calculate the value at a point (or points) + using the plane build on simplex with index *ind*. + """ + point = np.atleast_2d(np.array(point)) + simplex = self.lndi.tri.simplices[ind] + + plane_points = self.lndi.tri.points[[simplex]] + values = self.lndi.values[[simplex]] + + point = point - plane_points[0] + + extrapolated_points = [] + + for i, value in enumerate(values[0]): + # These two vectors are in the plane + v1 = (plane_points[2][0] - plane_points[0][0], + plane_points[2][1] - plane_points[0][1], + values[2][i] - values[0][i]) + + v2 = (plane_points[1][0] - plane_points[0][0], + plane_points[1][1] - plane_points[0][1], + values[1][i] - values[0][i]) + + # the cross product is a vector normal to the plane + cp = np.cross(v1, v2) + + # z corresponding to plane requires dot with norm = 0 + # (Norm) dot (position with only z unknown) = 0, solve. + extrapolated_points.append(values[0][i] + (- cp[0] * point[:, 0] - cp[1] * point[:, 1]) / cp[2]) + + return np.array(extrapolated_points).T + + def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): @@ -1765,14 +1883,13 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): ivarimg[onslit_gpm] = ivar_sav[resrt] # Get the slit image and then unset pixels in the slit image that are bad slitimg = slitid_img_init.copy() - slitimg[~onslit_gpm] = -1 # Generate the output WCS for the datacube crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg*3600.0 output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Now generate the cube - generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, + generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitid_img_init, onslit_gpm, overwrite=overwrite, output_wcs=output_wcs, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) elif method == 'ngp': From 3b949ef0407a0345cf614a720563e68bdde5f480 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Sun, 23 Oct 2022 22:00:35 +0100 Subject: [PATCH 016/308] rm lin2dext --- pypeit/core/datacube.py | 95 ----------------------------------------- 1 file changed, 95 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index e4383a99ad..b052c0e7fb 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1205,101 +1205,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # TODO :: Write out the datacube -class Linear2DInterpolator(object): - """ - An extension of *LinearNDInterpolator* in 2D that - extrapolates (linearly) outside of the convex hull. - Nearest simplex is used for that, which might not be - the best choice, but it's the simplest one. - - Largely taken from the following, with some modifications to allow rescaling: - https://gist.github.com/tunnell/90a83b7e1f894e8f882a029caece447b - """ - - def __init__(self, points, values): - self.lndi = LinearNDInterpolator(points, values) - hull = self.lndi.tri.convex_hull.tolist() - # Build a mask showing if a simplex has a side that - # is in the convex hull. - self.is_convex_simplex = np.zeros(len(self.lndi.tri.simplices), - dtype=bool) - for irow, row in enumerate(self.lndi.tri.simplices): - rrow = row[[0, 1, 2, 0]] - for pos in range(3): - if rrow[pos:pos + 2].tolist() in hull or \ - rrow[[pos + 1, pos]].tolist() in hull: - self.is_convex_simplex[irow] = True - - def __call__(self, xi): - """ - Predict values at points *xi* - """ - result = self.lndi(xi) - mask = np.isnan(result.sum(axis=1)) - if not np.any(mask): - # All points are within the convex hull - nothing to do more. - return result - simplices = [] - - # Build a list of nearest simplices for points outside - # the convex hull - for i, drow in enumerate(self.lndi.tri.plane_distance(xi[mask])): - - mi = np.max(drow[self.is_convex_simplex]) # Fixed if nearested isn't on hull - w = np.where(drow == mi)[0] - - if len(w) == 1 and self.is_convex_simplex[w]: - simplices.append(w) - elif len(w) > 1: - ww = w[self.is_convex_simplex[w]][0] - simplices.append(ww) - else: - raise ValueError - - simplices = np.array(simplices) - result_update = np.zeros((mask.sum(), 2)) # fixed - for simple in np.unique(simplices): - indices = np.where(simplices == simple)[0] - result_update[indices] = self._get_simplex_at_point(simple, xi[mask][indices]) - - result[mask] = result_update - return result - - def _get_simplex_at_point(self, ind, point): - """ - Calculate the value at a point (or points) - using the plane build on simplex with index *ind*. - """ - point = np.atleast_2d(np.array(point)) - simplex = self.lndi.tri.simplices[ind] - - plane_points = self.lndi.tri.points[[simplex]] - values = self.lndi.values[[simplex]] - - point = point - plane_points[0] - - extrapolated_points = [] - - for i, value in enumerate(values[0]): - # These two vectors are in the plane - v1 = (plane_points[2][0] - plane_points[0][0], - plane_points[2][1] - plane_points[0][1], - values[2][i] - values[0][i]) - - v2 = (plane_points[1][0] - plane_points[0][0], - plane_points[1][1] - plane_points[0][1], - values[1][i] - values[0][i]) - - # the cross product is a vector normal to the plane - cp = np.cross(v1, v2) - - # z corresponding to plane requires dot with norm = 0 - # (Norm) dot (position with only z unknown) = 0, solve. - extrapolated_points.append(values[0][i] + (- cp[0] * point[:, 0] - cp[1] * point[:, 1]) / cp[2]) - - return np.array(extrapolated_points).T - - def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): From 7f80dbc0110b29e9ad2fc0a66bed122f2f5f3ff7 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Mon, 24 Oct 2022 14:26:17 +0100 Subject: [PATCH 017/308] resample datacube --- pypeit/core/datacube.py | 47 ++++++++++++++++++++++------------------- 1 file changed, 25 insertions(+), 22 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index b052c0e7fb..f0247ce33d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1059,6 +1059,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d grid_nspat += 1 embed() assert(False) + atime=time.time() from shapely.geometry import Polygon, box as shapelyBox from shapely.strtree import STRtree from scipy.interpolate import RBFInterpolator @@ -1092,9 +1093,10 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) ra0, dec0 = np.zeros(nslice), np.zeros(nslice) offsimg = np.zeros_like(waveimg) - sl, spat_id = 0, slits.spat_id[0] # TODO :: REMOVE THIS LINE OF CODE! + varimgsq = utils.inverse(ivarimg ** 2) + #sl, spat_id = 0, slits.spat_id[0] # TODO :: REMOVE THIS LINE OF CODE! for sl, spat_id in enumerate(slits.spat_id): - msgs.info(f"Calculating voxel geometry for slit {spat_id}") + msgs.info(f"Calculating voxel geometry for slit {spat_id} -- {(time.time()-atime)/60}") # Calculate RA and Dec of central traces wsl = np.where(slitimg == spat_id) this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] @@ -1152,7 +1154,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # i.e. need to invert this: # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) # This gives us the x,y detector positions of the voxel geometry - vox_shape = (nvox_wave+1, nvox_spat+1) crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) # Generate a list of all detector pixels in this slice detpix_polys = [] @@ -1162,6 +1163,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels detgeom = STRtree(detpix_polys) # Loop through all voxels for this slice and calculate the overlapping area + #all_area = np.zeros_like(fluximg) + #atime=time.time() for wv in range(nvox_wave): for sp in range(nvox_spat): # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) @@ -1175,34 +1178,34 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # Sum all overlapping flux-weighted areas this_flx = 0 this_var = 0 + this_area = 0 for pp in range(len(result)): area = voxel_geom.intersection(result[pp]).area pix_spat = int(min(result[pp].exterior.coords[0][0], result[pp].exterior.coords[2][0])) pix_spec = int(min(result[pp].exterior.coords[0][1], result[pp].exterior.coords[2][1])) - this_flx += area * fluximg[pix_spec, pix_spat] - this_var += 0 + if ivarimg[pix_spec, pix_spat] != 0.0: + this_flx += area * fluximg[pix_spec, pix_spat] + this_var += area**2 * varimgsq[pix_spec, pix_spat] + this_area += area + #all_area[pix_spec, pix_spat] += area # Fill in the datacube - datcube[sl, sp, wv] = this_flx - varcube[sl, sp, wv] = this_var + this_area = 1 if this_area == 0 else this_area + datcube[sl, sp, wv] = this_flx / this_area + varcube[sl, sp, wv] = this_var / this_area**2 + # Generate a header + hdr = output_wcs.to_header() - # Create spline of RAimg and DECimg - # Evaluate RA/DEC at the centre of the slice (this is the same along the entire trace ==> (RA_0, DEC_0)) - # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) - # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. - # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. - # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) - # Use the WCS (which contains the astrometric transform) to go from world to pix - # i.e. need to invert this: - # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) - # This gives us the x,y detector positions of the voxel geometry - - # TODO :: Write out a residuals cube - if debug: - pass + # Add the unit of flux to the header + if fluxcal: + hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") + else: + hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") # Save the final datacube - # TODO :: Write out the datacube + msgs.info("Saving datacube as: {0:s}".format(outfile)) + final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, From b0437ff5492c408b1dcb1b8862e76a8e3785c3e2 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 26 Oct 2022 07:33:53 +0100 Subject: [PATCH 018/308] resample datacube --- pypeit/core/datacube.py | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index f0247ce33d..8ac7ddfa64 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -13,7 +13,7 @@ from astropy.coordinates import AltAz, SkyCoord from astropy.io import fits import scipy.optimize as opt -from scipy.interpolate import interp1d, RegularGridInterpolator, LinearNDInterpolator +from scipy.interpolate import interp1d, RegularGridInterpolator, RBFInterpolator import numpy as np from pypeit import msgs @@ -1057,12 +1057,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d if grid_nspat%2 == 0: msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") grid_nspat += 1 - embed() - assert(False) - atime=time.time() - from shapely.geometry import Polygon, box as shapelyBox - from shapely.strtree import STRtree - from scipy.interpolate import RBFInterpolator debug = False # Get the grid spacing along the spatial direction frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) @@ -1094,7 +1088,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d ra0, dec0 = np.zeros(nslice), np.zeros(nslice) offsimg = np.zeros_like(waveimg) varimgsq = utils.inverse(ivarimg ** 2) - #sl, spat_id = 0, slits.spat_id[0] # TODO :: REMOVE THIS LINE OF CODE! for sl, spat_id in enumerate(slits.spat_id): msgs.info(f"Calculating voxel geometry for slit {spat_id} -- {(time.time()-atime)/60}") # Calculate RA and Dec of central traces @@ -1154,25 +1147,28 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # i.e. need to invert this: # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) # This gives us the x,y detector positions of the voxel geometry + from shapely.geometry import Polygon, box as shapelyBox + from shapely.strtree import STRtree + crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) # Generate a list of all detector pixels in this slice detpix_polys = [] pix_spec, pix_spat = np.where(slitimg == spat_id) for ss in range(pix_spat.size): - detpix_polys.append(shapelyBox(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) + detpix_polys.append(shapely.geometry.box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels - detgeom = STRtree(detpix_polys) + detgeom = shapely.strtree.STRtree(detpix_polys) # Loop through all voxels for this slice and calculate the overlapping area #all_area = np.zeros_like(fluximg) #atime=time.time() for wv in range(nvox_wave): for sp in range(nvox_spat): # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) - voxel_geom = Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), - (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), - (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), - (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), - (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) + voxel_geom = shapely.geometry.Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), + (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), + (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), + (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), + (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) # Find overlapping detector pixels result = detgeom.query(voxel_geom) # Sum all overlapping flux-weighted areas From 3b19e09b3d69f389d432574537a7d05526c54207 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 26 Oct 2022 15:26:46 +0100 Subject: [PATCH 019/308] doc fix --- pypeit/par/pypeitpar.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index ccf72d5366..43785d3a22 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3548,9 +3548,9 @@ def __init__(self, trace_npoly=None, snr_thresh=None, find_trim_edge=None, 'For mulitslit maxnumber applies per slit, for echelle observations this ' \ 'applies per order. Note that objects on a slit/order impact the sky-modeling and so ' \ 'maxnumber should never be lower than the true number of detectable objects on your slit. ' \ - 'For image differenced observations with positive and negative object traces, maxnumber applies' \ - 'to the number of positive (or negative) traces individually. In other words, if you had two positive objects and' \ - 'one negative object, then you would set maxnumber to be equal to two (not three). Note that if manually' \ + 'For image differenced observations with positive and negative object traces, maxnumber applies ' \ + 'to the number of positive (or negative) traces individually. In other words, if you had two positive objects and ' \ + 'one negative object, then you would set maxnumber to be equal to two (not three). Note that if manually ' \ 'extracted apertures are explicitly requested, they do not count against this maxnumber. If more than ' \ 'maxnumber objects are detected, then highest S/N ratio objects will be the ones that are kept. ' \ 'For multislit observations the choice here depends on the slit length. For echelle observations ' \ From 70d3a976fdfbba4f0e1fe5cb726100a6f153f709 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 26 Oct 2022 15:43:43 +0100 Subject: [PATCH 020/308] datacube fix --- pypeit/core/datacube.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 8ac7ddfa64..dd96d7c3e0 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1088,6 +1088,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d ra0, dec0 = np.zeros(nslice), np.zeros(nslice) offsimg = np.zeros_like(waveimg) varimgsq = utils.inverse(ivarimg ** 2) + import time + atime = time.time() for sl, spat_id in enumerate(slits.spat_id): msgs.info(f"Calculating voxel geometry for slit {spat_id} -- {(time.time()-atime)/60}") # Calculate RA and Dec of central traces From 28abb226188257cd0bb2d958447aa192de6ff729 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 26 Oct 2022 20:29:32 +0100 Subject: [PATCH 021/308] datacube fix --- pypeit/core/datacube.py | 6 +++++- pypeit/par/pypeitpar.py | 16 ++++++++++------ pypeit/slittrace.py | 4 +++- 3 files changed, 18 insertions(+), 8 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index dd96d7c3e0..9970fd913d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1359,6 +1359,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): if combine: msgs.warn("Cannot combine cubes with the 'resample' algorithm - generating individual datacubes.") combine = False + elif method == "subsample": + msgs.info("Adopting the subsample algorithm to generate the datacube.") elif method == "ngp": msgs.info("Adopting the nearest grid point (NGP) algorithm to generate the datacube.") else: @@ -1783,7 +1785,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): numwav = int((np.max(waveimg) - wave0) / dwv) bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube - if method == 'resample': + if method == 'subsample': + msgs.error("Not implemented yet.") + elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] ivarimg[onslit_gpm] = ivar_sav[resrt] diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 43785d3a22..e3d97b9428 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1383,13 +1383,17 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f 'ranges. If combine=False, the individual spec3d files will have a suffix ' \ '"_whitelight".' - defaults['method'] = "resample" + defaults['method'] = "subsample" dtypes['method'] = str - descr['method'] = 'What method should be used to generate the datacube. There are currently two options:' \ - '(1) "resample" (default) - this algorithm resamples the spec2d frames into a datacube. ' \ - 'Flux is conserved, but pixels are correlated, and the error spectrum does not account ' \ - 'for covariance between neighbouring pixels. ' \ - '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ + descr['method'] = 'What method should be used to generate the datacube. There are currently two options: ' \ + '(1) "subsample" (default) - this algorithm is a hybrid between "resample" and "NGP". Each' \ + 'pixel is sub sampled by a factor of 10, and then a NGP algorithm is used. The algorithm is ' \ + 'relatively fast and conserves flux, but note that voxels are correlated, and the error ' \ + 'spectrum does not account for the covariance between adjacent voxels. ' \ + '(2) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ + 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ + 'for covariance between adjacent voxels. ' \ + '(3) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ 'conserved, pixels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ 'takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the ' \ diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index c3a826ca1a..c7b864a262 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -476,6 +476,7 @@ def get_radec_image(self, wcs, alignments, tilts, locations, minmax = np.zeros((self.nslits, 2)) # Get the slit information slitid_img_init = self.slit_img(pad=0, initial=initial, flexure=flexure) + all_tform = [] for slit_idx, spatid in enumerate(self.spat_id): onslit = (slitid_img_init == spatid) onslit_init = np.where(onslit) @@ -512,6 +513,7 @@ def get_radec_image(self, wcs, alignments, tilts, locations, pixdst = tform(pixsrc) evalpos = (pixdst[:, 0] - 0.5) * slitlength else: + tform = None evalpos = onslit_init[1] - trace_cen[onslit_init[0], slit_idx] minmax[:, 0] = np.min(evalpos) minmax[:, 1] = np.max(evalpos) @@ -523,7 +525,7 @@ def get_radec_image(self, wcs, alignments, tilts, locations, # Set the RA first and DEC next raimg[onslit] = world_ra.copy() decimg[onslit] = world_dec.copy() - return raimg, decimg, minmax + return raimg, decimg, minmax#, tform def select_edges(self, initial=False, flexure=None): """ From 8920d6ac181b60e12c7662288a37e35c28daba24 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 09:46:08 +0000 Subject: [PATCH 022/308] update par --- pypeit/par/pypeitpar.py | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 9c715e61f6..544b24883d 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1382,14 +1382,19 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f 'ranges. If combine=False, the individual spec3d files will have a suffix ' \ '"_whitelight".' - defaults['method'] = "resample" + defaults['method'] = "subsample" dtypes['method'] = str - descr['method'] = 'What method should be used to generate the datacube. There are currently two options:' \ - '(1) "resample" (default) - this algorithm resamples the spec2d frames into a datacube. ' \ - 'Flux is conserved, but pixels are correlated, and the error spectrum does not account ' \ + descr['method'] = 'What method should be used to generate the datacube. There are currently three options:' \ + '(1) "subsample" (default) - this algorithm subsamples each pixel in the spec2d frames ' \ + 'and assigns each subpixel into a voxel of the datacube. Note that the resample algorithm ' \ + 'exactly maps pixels to voxels, the subsample algorithm is much faster and performs just ' \ + 'as well. Flux is conserved, but voxels are correlated, and the error spectrum does not ' \ + 'account for covariance between adjacent voxels. ' \ + '(2) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ + 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ 'for covariance between neighbouring pixels. ' \ - '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ - 'conserved, pixels are not correlated, however this option suffers the same downsides as ' \ + '(3) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ + 'conserved, voxels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ 'takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the ' \ 'datacube. Depending on the binning used, some voxels may be empty (zero flux) while a ' \ @@ -1494,7 +1499,9 @@ def from_dict(cls, cfg): return cls(**kwargs) def validate(self): - pass + allowed_methods = ["subsample", "resample", "NGP"] + if self.data['method'] is not in allowed_methods: + raise ValueError("The 'method' must be one of:\n"+", ".join(allowed_methods)) class FluxCalibratePar(ParSet): From ac23bba33d3041e4083e7e2d7f6e4e8fe8981f19 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 10:08:28 +0000 Subject: [PATCH 023/308] add docs --- doc/spectrographs/keck_kcwi.rst | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/doc/spectrographs/keck_kcwi.rst b/doc/spectrographs/keck_kcwi.rst index e77f3ef1b6..72bbbfb735 100644 --- a/doc/spectrographs/keck_kcwi.rst +++ b/doc/spectrographs/keck_kcwi.rst @@ -163,6 +163,26 @@ Sky subtraction See :doc:`../skysub` for useful hints to define the sky regions using an interactive GUI. +Flexure corrections +------------------- + +KCWI suffers from a gentle spectral flexure correction. It is a gradient from the +leftmost slice to the rightmost slice of about 2 pixels. By default, the pipeline +does not correct for spectral flexure, because there needs to be decent sky detection +in each slice for the correction to be done well. If you want to turn on the spectral +flexure correction, add the following command to your :ref:`pypeit_file`: + +.. code-block:: ini + + [flexure] + spec_method = slitcen + +Similarly, there is a slice dependent spatial flexure. Given that the spatial illumination +profile of KCWI is also slice dependent, this spatial flexure could cause a problem with the +relative illumination across the KCWI field-of-view in the reconstructed datacube. While the +spatial flexure correction is partially implemented for KCWI (but is not done by default), +users should use this option with caution. + Flux calibration ---------------- From e2ed36cc7b0b4d75193b6095936730632b9e72ad Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 10:12:33 +0000 Subject: [PATCH 024/308] add subsample --- pypeit/core/datacube.py | 77 ++++++++++++++++++++++++++++++- pypeit/spectrographs/keck_kcwi.py | 3 +- 2 files changed, 77 insertions(+), 3 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index d8dce34de0..da277f0f8d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1208,6 +1208,75 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) +def generate_cube_subsample(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, + overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, + sensfunc=None, specname="PYP_SPEC", debug=False): + """ + Save a datacube using the subsample algorithm. This algorithm is a combination of the + "nearest grid point" and "resample" algorithms. + + Args: + outfile (`str`): + Filename to be used to save the datacube + hdr (`astropy.io.fits.header_`): + Header of the output datacube (must contain WCS) + all_sci (`numpy.ndarray`_): + 1D flattened array containing the counts of each pixel from all spec2d files + all_ivar (`numpy.ndarray`_): + 1D flattened array containing the inverse variance of each pixel from all spec2d files + all_wghts (`numpy.ndarray`_): + 1D flattened array containing the weights of each pixel to be used in the combination + pix_coord (`numpy.ndarray`_): + The NGP pixel coordinates corresponding to the RA,DEC,WAVELENGTH of each individual + pixel in the processed spec2d frames. After setting up an astropy WCS, pix_coord is + returned by the function: `astropy.wcs.WCS.wcs_world2pix_` + bins (tuple): + A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates :param overwrite: + blaze_wave (`numpy.ndarray`_): + Wavelength array of the spectral blaze function + blaze_spec (`numpy.ndarray`_): + Spectral blaze function + fluxcal (bool): + Are the data flux calibrated? + sensfunc (`numpy.ndarray`_, None): + Sensitivity function that has been applied to the datacube + specname (str): + Name of the spectrograph + debug (bool): + Debug the code by writing out a residuals cube? + """ + # Add the unit of flux to the header + if fluxcal: + hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") + else: + hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") + + # Use NGP to generate the cube - this ensures errors between neighbouring voxels are not correlated + datacube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci * all_wghts) + norm, edges = np.histogramdd(pix_coord, bins=bins, weights=all_wghts) + norm_cube = utils.inverse(norm) + datacube *= norm_cube + # Create the variance cube, including weights + msgs.info("Generating variance cube") + all_var = utils.inverse(all_ivar) + var_cube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_var * all_wghts**2) + var_cube *= norm_cube**2 + + # Save the datacube + if debug: + datacube_resid, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci*np.sqrt(all_ivar)) + norm, edges = np.histogramdd(pix_coord, bins=bins) + norm_cube = utils.inverse(norm) + outfile_resid = "datacube_resid.fits" + msgs.info("Saving datacube as: {0:s}".format(outfile_resid)) + hdu = fits.PrimaryHDU((datacube_resid*norm_cube).T, header=hdr) + hdu.writeto(outfile_resid, overwrite=overwrite) + + msgs.info("Saving datacube as: {0:s}".format(outfile)) + final_cube = DataCube(datacube.T, var_cube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) + + def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): @@ -1361,6 +1430,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): if combine: msgs.warn("Cannot combine cubes with the 'resample' algorithm - generating individual datacubes.") combine = False + elif method == "subsample": + msgs.info("Adopting the subsample algorithm to generate the datacube.") elif method == "ngp": msgs.info("Adopting the nearest grid point (NGP) algorithm to generate the datacube.") else: @@ -1771,7 +1842,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Generate individual whitelight images of each spec2d file if cubepar['save_whitelight']: if method == 'resample': - # TODO :: Implement this feature... + # TODO :: Implement this feature... May be better to generate this after making the cube? msgs.warn("Whitelight images are not implemented with the 'resample' algorithm.") msgs.info("Generating a whitelight image with the NGP algorithm.") out_whitelight = os.path.splitext(outfile)[0] + "_whitelight.fits" @@ -1785,7 +1856,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): numwav = int((np.max(waveimg) - wave0) / dwv) bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube - if method == 'resample': + if method == 'subsample': + + elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] ivarimg[onslit_gpm] = ivar_sav[resrt] diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 02930f3fed..43818520e5 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -240,7 +240,8 @@ def default_pypeit_par(cls): # Always correct for flexure, starting with default parameters # slitcen must be used, because this is a slit-based IFU where # no objects are extracted. - par['flexure']['spec_method'] = 'slitcen' + par['flexure']['spec_method'] = 'skip' + par['flexure']['spec_maxshift'] = 2.5 # Just in case someone switches on spectral flexure, this needs to be minimal # Alter the method used to combine pixel flats par['calibrations']['pixelflatframe']['process']['combine'] = 'median' From 93d81f11a260fd7614bedd8f5f701c402d7987c7 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 21:03:54 +0000 Subject: [PATCH 025/308] alignspline class --- pypeit/alignframe.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 6330d5e625..eec5a87144 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -7,6 +7,7 @@ import inspect import numpy as np from IPython import embed +from scipy.interpolate import interp1d, RegularGridInterpolator from pypeit.display import display from pypeit.core import findobj_skymask @@ -323,3 +324,39 @@ def show_alignment(alignframe, align_traces=None, slits=None, clear=False): color=color) +class AlignmentSplines: + def __init__(self, traces, locations, tilts): + embed() + self.traces = traces + self.locations = locations + self.nspec, self.ntrace, self.nslit = traces.shape + # Transform between detector pixels and the tilts: + self.spl_tilt = self.nslit * [self.nspec*[None]] # Splines - map (x,y) pixels ==> tilts + self.spl_tilt_inv = self.nslit * [self.nspec*[None]] # Inverse - map (tilts,y) ==> x + # Transform between detector pixels and the offsets from the slit centre: + self.spl_offs = self.nslit * [self.nspec*[None]] # Splines - map (x,y) pixels ==> offsets + self.spl_offs_inv = self.nslit * [self.nspec*[None]] # Inverse - map (offsets,y) ==> x + self.spl_fulltilts = RegularGridInterpolator((np.arange(tilts.shape[0]), np.arange(tilts.shape[1])), + tilts * (self.nspec - 1), method='linear') + + def build_splines(self): + for sl in range(self.nslit): + # Determine slit length along the spectral direction + slitlen = np.sqrt((xyll[:, 0] - xyrr[:, 0]) ** 2 + (xyll[:, 1] - xyrr[:, 1]) ** 2) + slen_spl = interp1d(np.linspace(0.0, 1.0, nspec), slitlen, kind='linear', + bounds_error=False, fill_value="extrapolate") + slitlength = slen_spl(tilts[onslit_init]) + + # Next steps... + x, tilt => y # Now I have (x,y) pairs at a given tilt, calculate pythagoras to get slit length for this tilt + tilts ==> slitlength + + for sp in range(self.nspec): + self.spl_tilt[sl][sp] = interp1d(self.traces[sp,:,sl], self.spl_fulltilts((sp, self.traces[sp,:,sl])), + kind='linear', bounds_error=False, fill_value='extrapolate') + self.spl_tilt_inv[sl][sp] = interp1d(self.spl_fulltilts((sp, self.traces[sp,:,sl])), self.traces[sp,:,sl], + kind='linear', bounds_error=False, fill_value='extrapolate') + self.spl_offs[sl][sp] = interp1d(self.traces[sp,:,sl], y, + kind='linear', bounds_error=False, fill_value='extrapolate') + self.spl_offs_inv[sl][sp] = interp1d(x, self.traces[sp,:,sl], + kind='linear', bounds_error=False, fill_value='extrapolate') From ff3c96b967357b0104d2074c452e0d8b5d5d9934 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 21:04:09 +0000 Subject: [PATCH 026/308] align fussing --- pypeit/core/datacube.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index da277f0f8d..bfe6704586 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1104,6 +1104,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # Generate the offsets cosdec = np.cos(dec0[sl] * np.pi / 180.0) diff_ra, diff_dec = (this_ra - ra0[sl]) * cosdec, this_dec - dec0[sl] + msgs.bug("There is sometimes a sign error that needs to be resolved here...") + msgs.error("Use another algorithm for the time being...") if np.max(diff_ra)-np.min(diff_ra) > np.max(diff_dec)-np.min(diff_dec): sgn = np.sign(diff_ra) else: @@ -1118,7 +1120,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d numpix = xgrid[yy, -1] - xgrid[yy, 0] sep = numpix // (grid_nspat - 1) xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(grid_nspat - 2) * sep - #  Extract offset + wavelength information and estimate transform + # Extract offset + wavelength information and estimate transform grid_coord = (ygrid.flatten(), xgrid.flatten()) grid_offs = offsimg[grid_coord] grid_wave = waveimg[grid_coord] @@ -1727,7 +1729,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Generate an RA/DEC image msgs.info("Generating RA/DEC image") - raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignments, spec2DObj.tilts, locations, + raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignments.traces, spec2DObj.tilts, locations, astrometric=astrometric, initial=True, flexure=flexure) # Perform the DAR correction @@ -1857,7 +1859,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube if method == 'subsample': - + pass elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] From cc0405d3155d57758a553e8467c666c2a709676f Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 21:04:36 +0000 Subject: [PATCH 027/308] radec img refactor --- pypeit/slittrace.py | 54 +++++++++++++++++++++++++-------------------- 1 file changed, 30 insertions(+), 24 deletions(-) diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index e62d682670..d5aff77e50 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -16,14 +16,11 @@ from astropy import units from astropy.stats import sigma_clipped_stats from scipy.interpolate import RegularGridInterpolator, interp1d -try: - from skimage import transform as skimageTransform -except ImportError: - skimageTransform = None from pypeit import msgs from pypeit import datamodel from pypeit import specobj +from pypeit import alignframe from pypeit.bitmask import BitMask from pypeit.core import parse @@ -421,7 +418,7 @@ def get_slitlengths(self, initial=False, median=False): slitlen = np.median(slitlen, axis=1) return slitlen - def get_radec_image(self, wcs, alignments, tilts, locations, + def get_radec_image(self, wcs, traces, tilts, locations, astrometric=True, initial=True, flexure=None): """Generate an RA and DEC image for every pixel in the frame NOTE: This function is currently only used for IFU reductions. @@ -430,9 +427,14 @@ def get_radec_image(self, wcs, alignments, tilts, locations, ---------- wcs : astropy.wcs The World Coordinate system of a science frame - alignments : :class:`pypeit.alignframe.Alignments` - The alignments (traces) of the slits. This allows - different slits to be aligned correctly. + traces : `numpy.ndarray` + The alignments (traces) of the slits. This allows different slices + to be aligned correctly. Ideally, this variable will be assigned the + value of alignments.traces. However, this can also be assigned the + left and right slit edges: + traces = np.append(left.reshape((left.shape[0],1,left.shape[1])), + right.reshape((left.shape[0],1,left.shape[1])), axis=1) + In this case, locations=np.array([0,1]) tilts : `numpy.ndarray` Spectral tilts. locations : `numpy.ndarray`_, list @@ -455,24 +457,16 @@ def get_radec_image(self, wcs, alignments, tilts, locations, the slits. The third array has a shape of (nslits, 2). """ msgs.work("Spatial flexure is not currently implemented for the astrometric alignment") - # Check if the user has skimage installed - if skimageTransform is None or alignments is None: - if skimageTransform is None: msgs.warn("scikit-image is not installed - astrometric correction not implemented") - else: msgs.warn("Alignments were not provided - astrometric correction not implemented") - astrometric = False + if type(locations) is list: + locations = np.array(locations) + if locations.size != traces.shape[1]: + msgs.error("The size of locations must be the same as traces.shape[1]") # Prepare the parameters - if not astrometric: - left, right, _ = self.select_edges(initial=initial, flexure=flexure) - trace_cen = 0.5 * (left + right) - else: - if type(locations) is list: - locations = np.array(locations) - elif type(locations) is not np.ndarray: - msgs.error("locations must be a 1D list or 1D numpy array") - nspec, nloc, nslit = alignments.traces.shape + #nspec, nloc, nslit = traces.shape + alignSplines = alignframe.AlignmentSplines(traces, locations, tilts) - # Generate a spline of the waveimg for interpolation - tilt_spl = RegularGridInterpolator((np.arange(tilts.shape[0]), np.arange(tilts.shape[1])), tilts*(nspec-1), method='linear') + # Generate a spline of the waveimg for interpolation + tilt_spl = RegularGridInterpolator((np.arange(tilts.shape[0]), np.arange(tilts.shape[1])), tilts*(nspec-1), method='linear') # Initialise the output raimg = np.zeros((self.nspec, self.nspat)) @@ -480,6 +474,7 @@ def get_radec_image(self, wcs, alignments, tilts, locations, minmax = np.zeros((self.nslits, 2)) # Get the slit information slitid_img_init = self.slit_img(pad=0, initial=initial, flexure=flexure) + all_transforms = [] for slit_idx, spatid in enumerate(self.spat_id): onslit = (slitid_img_init == spatid) onslit_init = np.where(onslit) @@ -487,7 +482,18 @@ def get_radec_image(self, wcs, alignments, tilts, locations, msgs.error("Slit {0:d} ({1:d}/{2:d}) is masked. Cannot generate RA/DEC image.".format(spatid, slit_idx+1, self.spat_id.size)) + # Loop on spectral coordinate + for ss in range(nspec): + pass + """ + Plan: + * generate a tilt spline... f(x,y) = tilt + * For each spectral row, do a linear interpolation, so that g(x,y) = offset from central trace + * RA, Dec can be calculated with: wcs.wcs_pix2world(slitID, offset, tilts[onslit_init]*(nspec-1), 0) + """ + if astrometric: + embed() # Calculate the typical pixel difference in the spatial direction medpixdiff = np.median(np.diff(alignments.traces[:, :, slit_idx], axis=1)) nspecpix = np.int(np.ceil(nspec / medpixdiff)) From 9d3e8347606f42b99781b0412bf1608a68cb6f63 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 3 Nov 2022 21:04:50 +0000 Subject: [PATCH 028/308] add new pars --- pypeit/par/pypeitpar.py | 2 +- pypeit/spectrographs/keck_kcwi.py | 12 ++++-------- 2 files changed, 5 insertions(+), 9 deletions(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 544b24883d..21d5584606 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1500,7 +1500,7 @@ def from_dict(cls, cfg): def validate(self): allowed_methods = ["subsample", "resample", "NGP"] - if self.data['method'] is not in allowed_methods: + if self.data['method'] not in allowed_methods: raise ValueError("The 'method' must be one of:\n"+", ".join(allowed_methods)) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 43818520e5..d7ea8a95d7 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -237,12 +237,6 @@ def default_pypeit_par(cls): # Set the slit edge parameters par['calibrations']['slitedges']['fit_order'] = 4 - # Always correct for flexure, starting with default parameters - # slitcen must be used, because this is a slit-based IFU where - # no objects are extracted. - par['flexure']['spec_method'] = 'skip' - par['flexure']['spec_maxshift'] = 2.5 # Just in case someone switches on spectral flexure, this needs to be minimal - # Alter the method used to combine pixel flats par['calibrations']['pixelflatframe']['process']['combine'] = 'median' par['calibrations']['flatfield']['spec_samp_coarse'] = 20.0 @@ -288,8 +282,10 @@ def default_pypeit_par(cls): par['reduce']['skysub']['bspline_spacing'] = 0.6 par['reduce']['skysub']['joint_fit'] = False - # No objects are extracted, so we should correct for flexure - par['flexure']['spec_method'] = 'slitcen' + # Don't correct flexure by default, but you should use slitcen, + # because this is a slit-based IFU where no objects are extracted. + par['flexure']['spec_method'] = 'skip' + par['flexure']['spec_maxshift'] = 2.5 # Just in case someone switches on spectral flexure, this needs to be minimal # Flux calibration parameters par['sensfunc']['UVIS']['extinct_correct'] = False # This must be False - the extinction correction is performed when making the datacube From 3892171e1e667a65454957eec1c65d392b941703 Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 4 Nov 2022 14:41:17 +0000 Subject: [PATCH 029/308] astrometric tranform complete. --- pypeit/alignframe.py | 65 +++++++++++++++++++++++++++----------------- 1 file changed, 40 insertions(+), 25 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index eec5a87144..4cd76b5413 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -326,37 +326,52 @@ def show_alignment(alignframe, align_traces=None, slits=None, clear=False): class AlignmentSplines: def __init__(self, traces, locations, tilts): - embed() self.traces = traces self.locations = locations + self.tilts = tilts self.nspec, self.ntrace, self.nslit = traces.shape - # Transform between detector pixels and the tilts: - self.spl_tilt = self.nslit * [self.nspec*[None]] # Splines - map (x,y) pixels ==> tilts - self.spl_tilt_inv = self.nslit * [self.nspec*[None]] # Inverse - map (tilts,y) ==> x - # Transform between detector pixels and the offsets from the slit centre: - self.spl_offs = self.nslit * [self.nspec*[None]] # Splines - map (x,y) pixels ==> offsets - self.spl_offs_inv = self.nslit * [self.nspec*[None]] # Inverse - map (offsets,y) ==> x + # Transform between detector pixels and the locations: + self.spl_loc = self.nslit * [self.nspec*[None]] # Splines - map (x,y) pixels ==> tilts + self.spl_slen = self.nslit * [None] # Splines - map y pixel ==> slit length + self.spl_transform = self.nslit * [None] # Splines - map x,y pixel ==> offset in pixels from the central trace self.spl_fulltilts = RegularGridInterpolator((np.arange(tilts.shape[0]), np.arange(tilts.shape[1])), tilts * (self.nspec - 1), method='linear') + self.build_splines() def build_splines(self): + spldict = dict(kind='linear', bounds_error=False, fill_value="extrapolate") + ycoord = np.arange(self.nspec) for sl in range(self.nslit): - # Determine slit length along the spectral direction - slitlen = np.sqrt((xyll[:, 0] - xyrr[:, 0]) ** 2 + (xyll[:, 1] - xyrr[:, 1]) ** 2) - slen_spl = interp1d(np.linspace(0.0, 1.0, nspec), slitlen, kind='linear', - bounds_error=False, fill_value="extrapolate") - slitlength = slen_spl(tilts[onslit_init]) - - # Next steps... - x, tilt => y # Now I have (x,y) pairs at a given tilt, calculate pythagoras to get slit length for this tilt - tilts ==> slitlength - + msgs.info("Calculating astrometric transform of slit {0:d}/{1:d}".format(sl+1, self.nslit)) + xlr, tlr = np.zeros((self.nspec, 2)), np.zeros((self.nspec, 2)) + eval_trim = 1 # This evaluates the slit length inside the actual slit edges, due to edge effects. + for sp in range(self.nspec): + # Calculate x coordinate at the slit edges, and the spectral tilts at those locations + xlr[sp, :] = interp1d(self.locations, self.traces[sp,:,sl], **spldict)([0.0, 1.0]) + tmptilt = self.spl_fulltilts([[sp, xlr[sp,0] + eval_trim], + [sp, xlr[sp,0] + 2*eval_trim], + [sp, xlr[sp,1] - eval_trim], + [sp, xlr[sp,1] - 2*eval_trim]]) + tlr[sp, :] = [2*tmptilt[0]-tmptilt[1], 2*tmptilt[2]-tmptilt[3]] + # pseudo-2D alignments -> locations + self.spl_loc[sl][sp] = interp1d(self.traces[sp,:,sl], self.locations, **spldict) + # For a given tilt value, get the (x,y) coordinate of the right edge + tilt_ypos = interp1d(tlr[:,1], ycoord, **spldict) + ypos_xpos = interp1d(ycoord, xlr[:,1], **spldict) + ypos = tilt_ypos(tlr[:,0]) + xpos = ypos_xpos(ypos) + # Calculate the slitlength from (xlr, y), (xpos, ypos) coordinates + slitlen = np.sqrt((ypos - np.arange(ypos.size)) ** 2 + (xpos - xlr[:, 0]) ** 2) + self.spl_slen[sl] = interp1d(ycoord, slitlen, **spldict) # The tilt used to calculate the slit length corresponds to the left edge, so use ycoord for the first argument + # Construct a 2D Regular grid that interpolates over all coordinates + xcoord = np.arange(np.floor(np.min(xlr)), np.ceil(np.max(xlr))+1, 1.0) + out_transform = np.zeros((self.nspec, xcoord.size)) for sp in range(self.nspec): - self.spl_tilt[sl][sp] = interp1d(self.traces[sp,:,sl], self.spl_fulltilts((sp, self.traces[sp,:,sl])), - kind='linear', bounds_error=False, fill_value='extrapolate') - self.spl_tilt_inv[sl][sp] = interp1d(self.spl_fulltilts((sp, self.traces[sp,:,sl])), self.traces[sp,:,sl], - kind='linear', bounds_error=False, fill_value='extrapolate') - self.spl_offs[sl][sp] = interp1d(self.traces[sp,:,sl], y, - kind='linear', bounds_error=False, fill_value='extrapolate') - self.spl_offs_inv[sl][sp] = interp1d(x, self.traces[sp,:,sl], - kind='linear', bounds_error=False, fill_value='extrapolate') + out_transform[sp,:] = (self.spl_loc[sl][sp](xcoord) - 0.5) * self.spl_slen[sl](sp) + self.spl_transform[sl] = RegularGridInterpolator((ycoord, xcoord), out_transform, method='linear') + # We now have everything we need to calculate the location and tilt of every pixel in the image. + # evalpos = (self.spl_loc[sl][ypixels](xpixels) - 0.5) * self.spl_slen[sl](ypixels) + # wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) + + def transform(self, slitnum, xpix, ypix): + return self.spl_transform[slitnum]((ypix, xpix)) From f41deafc514122f2d1ef2222d8ab76ebc53d9656 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 5 Nov 2022 08:47:18 +0000 Subject: [PATCH 030/308] astrometric tranform update. --- pypeit/slittrace.py | 63 ++++++--------------------------------------- 1 file changed, 8 insertions(+), 55 deletions(-) diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index d5aff77e50..dcde3084e4 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -461,12 +461,9 @@ def get_radec_image(self, wcs, traces, tilts, locations, locations = np.array(locations) if locations.size != traces.shape[1]: msgs.error("The size of locations must be the same as traces.shape[1]") - # Prepare the parameters - #nspec, nloc, nslit = traces.shape - alignSplines = alignframe.AlignmentSplines(traces, locations, tilts) - # Generate a spline of the waveimg for interpolation - tilt_spl = RegularGridInterpolator((np.arange(tilts.shape[0]), np.arange(tilts.shape[1])), tilts*(nspec-1), method='linear') + # Calculate the astrometric transform + alignSplines = alignframe.AlignmentSplines(traces, locations, tilts) # Initialise the output raimg = np.zeros((self.nspec, self.nspat)) @@ -474,66 +471,22 @@ def get_radec_image(self, wcs, traces, tilts, locations, minmax = np.zeros((self.nslits, 2)) # Get the slit information slitid_img_init = self.slit_img(pad=0, initial=initial, flexure=flexure) - all_transforms = [] for slit_idx, spatid in enumerate(self.spat_id): onslit = (slitid_img_init == spatid) onslit_init = np.where(onslit) if self.mask[slit_idx] != 0: - msgs.error("Slit {0:d} ({1:d}/{2:d}) is masked. Cannot generate RA/DEC image.".format(spatid, - slit_idx+1, - self.spat_id.size)) - # Loop on spectral coordinate - for ss in range(nspec): - pass - """ - Plan: - * generate a tilt spline... f(x,y) = tilt - * For each spectral row, do a linear interpolation, so that g(x,y) = offset from central trace - * RA, Dec can be calculated with: wcs.wcs_pix2world(slitID, offset, tilts[onslit_init]*(nspec-1), 0) - """ - - if astrometric: - embed() - # Calculate the typical pixel difference in the spatial direction - medpixdiff = np.median(np.diff(alignments.traces[:, :, slit_idx], axis=1)) - nspecpix = np.int(np.ceil(nspec / medpixdiff)) - specpix = np.round(np.linspace(0.0, nspec-1, nspecpix)).astype(np.int) - # Calculate the source locations (pixel space) - xsrc = alignments.traces[specpix, :, slit_idx].flatten() - ysrc = specpix.repeat(nloc).flatten() - src = np.column_stack((xsrc, ysrc)) - # Calculate the destinations (slit space) - xdst = locations[np.newaxis, :].repeat(nspecpix, axis=0).flatten() - ydst = tilt_spl((ysrc, xsrc)) - dst = np.column_stack((xdst, ydst)) - msgs.info("Calculating astrometric transform of slit {0:d}/{1:d}".format(slit_idx+1, nslit)) - tform = skimageTransform.estimate_transform("polynomial", src, dst, order=1) - # msgs.info("Calculating inverse transform of slit {0:d}/{1:d}".format(slit_idx+1, nslit)) - tfinv = skimageTransform.estimate_transform("polynomial", dst, src, order=1) - # Calculate the slitlength at a given tilt value - xyll = tfinv(np.column_stack((np.zeros(nspec), np.linspace(0.0, 1.0, nspec)))) - xyrr = tfinv(np.column_stack((np.ones(nspec), np.linspace(0.0, 1.0, nspec)))) - slitlen = np.sqrt((xyll[:, 0]-xyrr[:, 0])**2 + (xyll[:, 1]-xyrr[:, 1])**2) - slen_spl = interp1d(np.linspace(0.0, 1.0, nspec), slitlen, kind='linear', - bounds_error=False, fill_value="extrapolate") - slitlength = slen_spl(tilts[onslit_init]) - # Now perform the transform - pixsrc = np.column_stack((onslit_init[1], onslit_init[0])) - pixdst = tform(pixsrc) - evalpos = (pixdst[:, 0] - 0.5) * slitlength - else: - evalpos = onslit_init[1] - trace_cen[onslit_init[0], slit_idx] + msgs.error(f"Slit {spatid} ({slit_idx+1}/{self.spat_id.size}) is masked. Cannot generate RA/DEC image.") + # Retrieve the pixel offset from the central trace + evalpos = alignSplines.transform(slit_idx, onslit_init[1], onslit_init[0]) minmax[:, 0] = np.min(evalpos) minmax[:, 1] = np.max(evalpos) + # Calculate the WCS from the pixel positions slitID = np.ones(evalpos.size) * slit_idx - wcs.wcs.crpix[0] - if astrometric: - world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) - else: - world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, onslit_init[0], 0) + world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) # Set the RA first and DEC next raimg[onslit] = world_ra.copy() decimg[onslit] = world_dec.copy() - return raimg, decimg, minmax + return raimg, decimg, minmax, alignSplines def select_edges(self, initial=False, flexure=None): """ From 152eefbd465cacb707037812991f2565aaa3322c Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 5 Nov 2022 09:49:42 +0000 Subject: [PATCH 031/308] docs --- pypeit/alignframe.py | 39 +++++++++++++++++++++++++++++++++++++++ pypeit/core/datacube.py | 2 +- pypeit/slittrace.py | 13 ++++++------- 3 files changed, 46 insertions(+), 8 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 4cd76b5413..00f352114a 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -326,6 +326,25 @@ def show_alignment(alignframe, align_traces=None, slits=None, clear=False): class AlignmentSplines: def __init__(self, traces, locations, tilts): + """Convenience class to build and transform between detector pixel coordinates and + WCS pixel coordinates (i.e. constant wavelength and spatial position). + + Parameters + ---------- + traces : `numpy.ndarray` + The alignments (traces) of the slits. This allows different slices + to be aligned correctly. Ideally, this variable will be assigned the + value of alignments.traces. However, this can also be assigned the + left and right slit edges: + traces = np.append(left.reshape((left.shape[0],1,left.shape[1])), + right.reshape((left.shape[0],1,left.shape[1])), axis=1) + In this case, locations=np.array([0,1]) + locations : `numpy.ndarray`_, list + locations along the slit of the alignment traces. Must + be a 1D array of the same length as alignments.traces.shape[1] + tilts : `numpy.ndarray` + Spectral tilts. + """ self.traces = traces self.locations = locations self.tilts = tilts @@ -339,6 +358,9 @@ def __init__(self, traces, locations, tilts): self.build_splines() def build_splines(self): + """ + Build the interpolation transforms for each slit + """ spldict = dict(kind='linear', bounds_error=False, fill_value="extrapolate") ycoord = np.arange(self.nspec) for sl in range(self.nslit): @@ -374,4 +396,21 @@ def build_splines(self): # wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) def transform(self, slitnum, xpix, ypix): + """ + Convenience function to return the spatial offset in pixels + from the spatial centre of the slit. + + Parameters + ---------- + slitnum : `int` + Slit number + xpix : `numpy.ndarray` + Detector pixel coordinate (spatial direction) + ypix : `numpy.ndarray` + Detector pixel coordinate (spectral direction) + + Returns + ------- + tuple : There are + """ return self.spl_transform[slitnum]((ypix, xpix)) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index bfe6704586..8a6462d29c 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1729,7 +1729,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Generate an RA/DEC image msgs.info("Generating RA/DEC image") - raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignments.traces, spec2DObj.tilts, locations, + raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, alignments.traces, spec2DObj.tilts, locations, astrometric=astrometric, initial=True, flexure=flexure) # Perform the DAR correction diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index dcde3084e4..78d3fbbdd0 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -418,8 +418,7 @@ def get_slitlengths(self, initial=False, median=False): slitlen = np.median(slitlen, axis=1) return slitlen - def get_radec_image(self, wcs, traces, tilts, locations, - astrometric=True, initial=True, flexure=None): + def get_radec_image(self, wcs, traces, tilts, locations, initial=True, flexure=None): """Generate an RA and DEC image for every pixel in the frame NOTE: This function is currently only used for IFU reductions. @@ -440,8 +439,6 @@ def get_radec_image(self, wcs, traces, tilts, locations, locations : `numpy.ndarray`_, list locations along the slit of the alignment traces. Must be a 1D array of the same length as alignments.traces.shape[1] - astrometric : bool - Perform astrometric correction using alignment frame? initial : bool Select the initial slit edges? flexure : float, optional @@ -449,12 +446,14 @@ def get_radec_image(self, wcs, traces, tilts, locations, Returns ------- - tuple : There are three elements in the tuple. The first two are 2D numpy arrays + tuple : There are four elements in the tuple. The first two are 2D numpy arrays of shape (nspec, nspat), where the first ndarray is the RA image, and the second ndarray is the DEC image. RA and DEC are in units degrees. The third element of the tuple stores the minimum and maximum difference (in pixels) - between the WCS reference (usually the centre of the slit) and the edge of - the slits. The third array has a shape of (nslits, 2). + between the WCS reference (usually the centre of the slit) and the edges of + the slits. The third array has a shape of (nslits, 2). The fourth contains + the transformation between detector pixel coordinates and the WCS pixel + coordinates. """ msgs.work("Spatial flexure is not currently implemented for the astrometric alignment") if type(locations) is list: From da06d0544de5587a6837794b5fa65660fd7a98a6 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 6 Nov 2022 20:28:34 +0000 Subject: [PATCH 032/308] subsample --- pypeit/alignframe.py | 1 + pypeit/core/datacube.py | 111 +++++++++++++++++++++++++--------------- 2 files changed, 71 insertions(+), 41 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 00f352114a..006cdadf90 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -391,6 +391,7 @@ def build_splines(self): for sp in range(self.nspec): out_transform[sp,:] = (self.spl_loc[sl][sp](xcoord) - 0.5) * self.spl_slen[sl](sp) self.spl_transform[sl] = RegularGridInterpolator((ycoord, xcoord), out_transform, method='linear') + # TODO :: Remove these notes... # We now have everything we need to calculate the location and tilt of every pixel in the image. # evalpos = (self.spl_loc[sl][ypixels](xpixels) - 0.5) * self.spl_slen[sl](ypixels) # wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 8a6462d29c..a05cce1fcc 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1209,10 +1209,9 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) - -def generate_cube_subsample(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, - overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, - sensfunc=None, specname="PYP_SPEC", debug=False): +def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, all_wave, slits, slitid_img_gpm, + astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, + fluxcal=False, sensfunc=None, specname="PYP_SPEC"): """ Save a datacube using the subsample algorithm. This algorithm is a combination of the "nearest grid point" and "resample" algorithms. @@ -1220,32 +1219,41 @@ def generate_cube_subsample(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coor Args: outfile (`str`): Filename to be used to save the datacube - hdr (`astropy.io.fits.header_`): - Header of the output datacube (must contain WCS) + frame_wcs (`astropy.wcs.wcs.WCS`_): + World coordinate system for this frame. all_sci (`numpy.ndarray`_): 1D flattened array containing the counts of each pixel from all spec2d files all_ivar (`numpy.ndarray`_): 1D flattened array containing the inverse variance of each pixel from all spec2d files all_wghts (`numpy.ndarray`_): 1D flattened array containing the weights of each pixel to be used in the combination - pix_coord (`numpy.ndarray`_): - The NGP pixel coordinates corresponding to the RA,DEC,WAVELENGTH of each individual - pixel in the processed spec2d frames. After setting up an astropy WCS, pix_coord is - returned by the function: `astropy.wcs.WCS.wcs_world2pix_` + all_wave (`numpy.ndarray`_) + 1D flattened array containing the wavelength of each pixel (units = Angstroms) + slits (:class:`pypeit.slittrace.SlitTraceSet`_) + Information stored about the slits + slitid_img_gpm (`numpy.ndarray`_) + An image indicating which pixels belong to a slit (0 = not on a slit or a masked pixel). + Any positive value indicates the spatial ID of the pixel. + astrom_trans (:class:`pypeit.alignframe.AlignmentSplines`_): + A Class containing the transformation between detector pixel coordinates and WCS pixel coordinates bins (tuple): - A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates :param overwrite: - blaze_wave (`numpy.ndarray`_): + A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates + subsample (`int`, optional): + What is the subsampling factor. Higher values give more reliable results, but note + that the time required goes as N^2. The default value is 10, which subsamples each detector pixel into + 100 subpixels (i.e. 10^2). + overwrite (`bool`, optional): + If True, the output cube will be overwritten. + blaze_wave (`numpy.ndarray`_, optional): Wavelength array of the spectral blaze function - blaze_spec (`numpy.ndarray`_): + blaze_spec (`numpy.ndarray`_, optional): Spectral blaze function - fluxcal (bool): + fluxcal (bool, optional): Are the data flux calibrated? - sensfunc (`numpy.ndarray`_, None): + sensfunc (`numpy.ndarray`_, None, optional): Sensitivity function that has been applied to the datacube - specname (str): + specname (str, optional): Name of the spectrograph - debug (bool): - Debug the code by writing out a residuals cube? """ # Add the unit of flux to the header if fluxcal: @@ -1253,27 +1261,41 @@ def generate_cube_subsample(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coor else: hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") - # Use NGP to generate the cube - this ensures errors between neighbouring voxels are not correlated - datacube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci * all_wghts) - norm, edges = np.histogramdd(pix_coord, bins=bins, weights=all_wghts) - norm_cube = utils.inverse(norm) - datacube *= norm_cube - # Create the variance cube, including weights - msgs.info("Generating variance cube") - all_var = utils.inverse(all_ivar) - var_cube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_var * all_wghts**2) - var_cube *= norm_cube**2 - - # Save the datacube - if debug: - datacube_resid, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci*np.sqrt(all_ivar)) - norm, edges = np.histogramdd(pix_coord, bins=bins) - norm_cube = utils.inverse(norm) - outfile_resid = "datacube_resid.fits" - msgs.info("Saving datacube as: {0:s}".format(outfile_resid)) - hdu = fits.PrimaryHDU((datacube_resid*norm_cube).T, header=hdr) - hdu.writeto(outfile_resid, overwrite=overwrite) + # Prepare the output arrays + outshape = (bins.shape[0]-1, bins.shape[1]-1, bins.shape[2]-1) + datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) + # Subsample each pixel + ssamp_offs = np.arange(0.5/subsample, 1, 1/subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. + area = 1/subsample**2 + all_wght_subsmp = all_wghts * area + # Loop through all slits + all_sltid = (slitid_img_gpm > 0) + all_var = utils.inverse(all_ivar) + embed() + for sl, spatid in enumerate(slits.spat_id): + this_sl = (all_sltid==spatid) + wpix = np.where(slitid_img_gpm==spatid) + slitID = np.ones(wpix[0].size) * sl - wcs.wcs.crpix[0] + for xx in range(subsample): + for yy in range(subsample): + # Calculate the tranformation from detector pixels to voxels + evalpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) + world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) + pix_coord = frame_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) + # Now assemble this postion of the datacube + tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) + tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) + tmp_nm, _ = np.histogramdd(pix_coord, bins=bins, weights=all_wght_subsmp[this_sl]) + datacube += tmp_dc + varcube += tmp_vr + normcube += tmp_nm + # Normalise the datacube and variance cube + nc_inverse = utils.inverse(normcube) + datacube *= nc_inverse + varcube *= nc_inverse**2 + + # Write out the datacube msgs.info("Saving datacube as: {0:s}".format(outfile)) final_cube = DataCube(datacube.T, var_cube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) @@ -1301,7 +1323,9 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bin pixel in the processed spec2d frames. After setting up an astropy WCS, pix_coord is returned by the function: `astropy.wcs.WCS.wcs_world2pix_` bins (tuple): - A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates :param overwrite: + A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates + overwrite (`bool`): + If True, the output cube will be overwritten. blaze_wave (`numpy.ndarray`_): Wavelength array of the spectral blaze function blaze_spec (`numpy.ndarray`_): @@ -1730,7 +1754,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Generate an RA/DEC image msgs.info("Generating RA/DEC image") raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, alignments.traces, spec2DObj.tilts, locations, - astrometric=astrometric, initial=True, flexure=flexure) + astrometric=astrometric, initial=True, flexure=flexure) # Perform the DAR correction if wave_ref is None: @@ -1859,7 +1883,12 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube if method == 'subsample': - pass + slitid_img_gpm = slitid_img_init.copy() + slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 + generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), + wave_ext, slits, slitid_img_gpm, ast_trans, bins, + overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + fluxcal=fluxcal, specname=specname) elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] From 3e4a27262b10c14f2121966446214d52ded6a82b Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 6 Nov 2022 20:53:25 +0000 Subject: [PATCH 033/308] fixes --- pypeit/core/datacube.py | 29 +++++++++++++++++------------ pypeit/slittrace.py | 2 +- 2 files changed, 18 insertions(+), 13 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index a05cce1fcc..29fdf04f60 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1255,12 +1255,6 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al specname (str, optional): Name of the spectrograph """ - # Add the unit of flux to the header - if fluxcal: - hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") - else: - hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") - # Prepare the output arrays outshape = (bins.shape[0]-1, bins.shape[1]-1, bins.shape[2]-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) @@ -1295,6 +1289,13 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al datacube *= nc_inverse varcube *= nc_inverse**2 + # Prepare the header, and add the unit of flux to the header + hdr = frame_wcs.to_header() + if fluxcal: + hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") + else: + hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") + # Write out the datacube msgs.info("Saving datacube as: {0:s}".format(outfile)) final_cube = DataCube(datacube.T, var_cube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) @@ -1736,9 +1737,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.warn("Spatial scale requested ({0:f} arcsec) is less than the slicer scale ({1:f} arcsec)".format(3600.0*dspat, 3600.0*slscl)) # Loading the alignments frame for these data - astrometric = cubepar['astrometric'] alignments = None - if astrometric: + if cubepar['astrometric']: alignfile = masterframe.construct_file_name(alignframe.Alignments, hdr['TRACMKEY'], master_dir=hdr['PYPMFDIR']) if os.path.exists(alignfile) and cubepar['astrometric']: @@ -1747,14 +1747,19 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): else: msgs.warn("Could not find Master Alignment frame:"+msgs.newline()+alignfile) msgs.warn("Astrometric correction will not be performed") - astrometric = False else: msgs.info("Astrometric correction will not be performed") - + # If nothing better was provided, use the slit edges + if alignments is None: + left, right, _ = slits.select_edges(initial=True, flexure=flexure) + locations = [0.0, 1.0] + traces = np.append(left[:,None,:], right[:,None,:], axis=1) + else: + traces = alignments.traces # Generate an RA/DEC image msgs.info("Generating RA/DEC image") - raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, alignments.traces, spec2DObj.tilts, locations, - astrometric=astrometric, initial=True, flexure=flexure) + raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, traces, spec2DObj.tilts, locations, + initial=True, flexure=flexure) # Perform the DAR correction if wave_ref is None: diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 78d3fbbdd0..9b66920173 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -481,7 +481,7 @@ def get_radec_image(self, wcs, traces, tilts, locations, initial=True, flexure=N minmax[:, 1] = np.max(evalpos) # Calculate the WCS from the pixel positions slitID = np.ones(evalpos.size) * slit_idx - wcs.wcs.crpix[0] - world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) + world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(self.nspec-1), 0) # Set the RA first and DEC next raimg[onslit] = world_ra.copy() decimg[onslit] = world_dec.copy() From 5628b94dc0de66e490288d97d5ff0881af942f6a Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 6 Nov 2022 21:13:43 +0000 Subject: [PATCH 034/308] fixes --- pypeit/alignframe.py | 3 ++- pypeit/core/datacube.py | 14 ++++++++------ 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 006cdadf90..bfa0d65192 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -390,7 +390,8 @@ def build_splines(self): out_transform = np.zeros((self.nspec, xcoord.size)) for sp in range(self.nspec): out_transform[sp,:] = (self.spl_loc[sl][sp](xcoord) - 0.5) * self.spl_slen[sl](sp) - self.spl_transform[sl] = RegularGridInterpolator((ycoord, xcoord), out_transform, method='linear') + self.spl_transform[sl] = RegularGridInterpolator((ycoord, xcoord), out_transform, method='linear', + bounds_error=False, fill_value=None) # This will extrapolate # TODO :: Remove these notes... # We now have everything we need to calculate the location and tilt of every pixel in the image. # evalpos = (self.spl_loc[sl][ypixels](xpixels) - 0.5) * self.spl_slen[sl](ypixels) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 29fdf04f60..33b1756c71 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1209,7 +1209,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) -def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, all_wave, slits, slitid_img_gpm, +def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC"): """ @@ -1229,6 +1229,8 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al 1D flattened array containing the weights of each pixel to be used in the combination all_wave (`numpy.ndarray`_) 1D flattened array containing the wavelength of each pixel (units = Angstroms) + tilts (`numpy.ndarray`_) + 2D wavelength tilts frame slits (:class:`pypeit.slittrace.SlitTraceSet`_) Information stored about the slits slitid_img_gpm (`numpy.ndarray`_) @@ -1256,7 +1258,8 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al Name of the spectrograph """ # Prepare the output arrays - outshape = (bins.shape[0]-1, bins.shape[1]-1, bins.shape[2]-1) + embed() + outshape = (bins[0].size-1, bins[1].size-1, bins[2].size-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) # Subsample each pixel @@ -1266,16 +1269,15 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # Loop through all slits all_sltid = (slitid_img_gpm > 0) all_var = utils.inverse(all_ivar) - embed() for sl, spatid in enumerate(slits.spat_id): this_sl = (all_sltid==spatid) wpix = np.where(slitid_img_gpm==spatid) - slitID = np.ones(wpix[0].size) * sl - wcs.wcs.crpix[0] + slitID = np.ones(wpix[0].size) * sl - frame_wcs.wcs.crpix[0] for xx in range(subsample): for yy in range(subsample): # Calculate the tranformation from detector pixels to voxels evalpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) - world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) + world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) pix_coord = frame_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) # Now assemble this postion of the datacube tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) @@ -1891,7 +1893,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), - wave_ext, slits, slitid_img_gpm, ast_trans, bins, + wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) elif method == 'resample': From fe4422774f0064c19863e66f9994ebf97db4058d Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 7 Nov 2022 11:09:39 +0000 Subject: [PATCH 035/308] tilts fix --- pypeit/alignframe.py | 17 +++++++++-------- pypeit/core/datacube.py | 13 ++++++------- pypeit/slittrace.py | 4 ++-- 3 files changed, 17 insertions(+), 17 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index bfa0d65192..4f1adce3f0 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -366,15 +366,16 @@ def build_splines(self): for sl in range(self.nslit): msgs.info("Calculating astrometric transform of slit {0:d}/{1:d}".format(sl+1, self.nslit)) xlr, tlr = np.zeros((self.nspec, 2)), np.zeros((self.nspec, 2)) - eval_trim = 1 # This evaluates the slit length inside the actual slit edges, due to edge effects. + eval_trim = 2 # This evaluates the slit length inside the actual slit edges, due to edge effects. for sp in range(self.nspec): # Calculate x coordinate at the slit edges, and the spectral tilts at those locations xlr[sp, :] = interp1d(self.locations, self.traces[sp,:,sl], **spldict)([0.0, 1.0]) tmptilt = self.spl_fulltilts([[sp, xlr[sp,0] + eval_trim], - [sp, xlr[sp,0] + 2*eval_trim], + [sp, xlr[sp,0] + eval_trim+1], [sp, xlr[sp,1] - eval_trim], - [sp, xlr[sp,1] - 2*eval_trim]]) - tlr[sp, :] = [2*tmptilt[0]-tmptilt[1], 2*tmptilt[2]-tmptilt[3]] + [sp, xlr[sp,1] - eval_trim-1]]) + tlr[sp, :] = [tmptilt[0]-eval_trim*(tmptilt[1]-tmptilt[0]), + tmptilt[2]-eval_trim*(tmptilt[3]-tmptilt[2])] # pseudo-2D alignments -> locations self.spl_loc[sl][sp] = interp1d(self.traces[sp,:,sl], self.locations, **spldict) # For a given tilt value, get the (x,y) coordinate of the right edge @@ -397,7 +398,7 @@ def build_splines(self): # evalpos = (self.spl_loc[sl][ypixels](xpixels) - 0.5) * self.spl_slen[sl](ypixels) # wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) - def transform(self, slitnum, xpix, ypix): + def transform(self, slitnum, spatpix, specpix): """ Convenience function to return the spatial offset in pixels from the spatial centre of the slit. @@ -406,13 +407,13 @@ def transform(self, slitnum, xpix, ypix): ---------- slitnum : `int` Slit number - xpix : `numpy.ndarray` + spatpix : `numpy.ndarray` Detector pixel coordinate (spatial direction) - ypix : `numpy.ndarray` + specpix : `numpy.ndarray` Detector pixel coordinate (spectral direction) Returns ------- tuple : There are """ - return self.spl_transform[slitnum]((ypix, xpix)) + return self.spl_transform[slitnum]((specpix, spatpix)) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 33b1756c71..d386dc0035 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1258,7 +1258,6 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al Name of the spectrograph """ # Prepare the output arrays - embed() outshape = (bins[0].size-1, bins[1].size-1, bins[2].size-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) @@ -1267,17 +1266,18 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al area = 1/subsample**2 all_wght_subsmp = all_wghts * area # Loop through all slits - all_sltid = (slitid_img_gpm > 0) + all_sltid = slitid_img_gpm[(slitid_img_gpm > 0)] all_var = utils.inverse(all_ivar) for sl, spatid in enumerate(slits.spat_id): - this_sl = (all_sltid==spatid) + msgs.info(f"Assembling datacube for slit {sl+1}/{slits.nslits}") + this_sl = np.where(all_sltid==spatid) wpix = np.where(slitid_img_gpm==spatid) slitID = np.ones(wpix[0].size) * sl - frame_wcs.wcs.crpix[0] for xx in range(subsample): for yy in range(subsample): # Calculate the tranformation from detector pixels to voxels evalpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) - world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init] * (nspec - 1), 0) + world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, evalpos, tilts[wpix] * (slits.nspec - 1), 0) pix_coord = frame_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) # Now assemble this postion of the datacube tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) @@ -1300,7 +1300,7 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # Write out the datacube msgs.info("Saving datacube as: {0:s}".format(outfile)) - final_cube = DataCube(datacube.T, var_cube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube = DataCube(datacube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) @@ -1890,6 +1890,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube if method == 'subsample': + # Get the slit image and then unset pixels in the slit image that are bad slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), @@ -1900,8 +1901,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] ivarimg[onslit_gpm] = ivar_sav[resrt] - # Get the slit image and then unset pixels in the slit image that are bad - slitimg = slitid_img_init.copy() # Generate the output WCS for the datacube crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 9b66920173..8d667f499d 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -477,8 +477,8 @@ def get_radec_image(self, wcs, traces, tilts, locations, initial=True, flexure=N msgs.error(f"Slit {spatid} ({slit_idx+1}/{self.spat_id.size}) is masked. Cannot generate RA/DEC image.") # Retrieve the pixel offset from the central trace evalpos = alignSplines.transform(slit_idx, onslit_init[1], onslit_init[0]) - minmax[:, 0] = np.min(evalpos) - minmax[:, 1] = np.max(evalpos) + minmax[slit_idx, 0] = np.min(evalpos) + minmax[slit_idx, 1] = np.max(evalpos) # Calculate the WCS from the pixel positions slitID = np.ones(evalpos.size) * slit_idx - wcs.wcs.crpix[0] world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(self.nspec-1), 0) From f8e1a60e0378052f78385a0d22ee9a1dcc35c11c Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 7 Nov 2022 14:56:27 +0000 Subject: [PATCH 036/308] add par --- pypeit/core/datacube.py | 28 +++++++++++++++++++--------- pypeit/par/pypeitpar.py | 10 +++++++--- 2 files changed, 26 insertions(+), 12 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index d386dc0035..e631ef5f8d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1276,10 +1276,14 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al for xx in range(subsample): for yy in range(subsample): # Calculate the tranformation from detector pixels to voxels - evalpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) - world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, evalpos, tilts[wpix] * (slits.nspec - 1), 0) + spatpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) + # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location + # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction + # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... + specpos = tilts[wpix] * (slits.nspec - 1) + ssamp_offs[yy] + world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, spatpos, specpos, 0) pix_coord = frame_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) - # Now assemble this postion of the datacube + # Now assemble this position of the datacube tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) tmp_nm, _ = np.histogramdd(pix_coord, bins=bins, weights=all_wght_subsmp[this_sl]) @@ -1896,7 +1900,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname) + fluxcal=fluxcal, specname=specname, subsample=cubepar['subsample']) elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] @@ -1912,11 +1916,17 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): fluxcal=fluxcal, specname=specname) elif method == 'ngp': msgs.info("Generating pixel coordinates") - pix_coord = frame_wcs.wcs_world2pix(np.vstack((raimg[onslit_gpm], decimg[onslit_gpm], wave_ext * 1.0E-10)).T, 0) - hdr = frame_wcs.to_header() - generate_cube_ngp(outfile, hdr, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), pix_coord, bins, - overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname) + slitid_img_gpm = slitid_img_init.copy() + slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 + generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), + wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, + overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + fluxcal=fluxcal, specname=specname, subsample=1) + # pix_coord = frame_wcs.wcs_world2pix(np.vstack((raimg[onslit_gpm], decimg[onslit_gpm], wave_ext * 1.0E-10)).T, 0) + # hdr = frame_wcs.to_header() + # generate_cube_ngp(outfile, hdr, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), pix_coord, bins, + # overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + # fluxcal=fluxcal, specname=specname) else: msgs.error(f"The following method is not yet implemented: {method}") continue diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 21d5584606..59a88ef72a 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1317,7 +1317,7 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f standard_cube=None, reference_image=None, save_whitelight=None, method=None, ra_min=None, ra_max=None, dec_min=None, dec_max=None, wave_min=None, wave_max=None, spatial_delta=None, wave_delta=None, astrometric=None, grating_corr=None, scale_corr=None, - skysub_frame=None): + skysub_frame=None, subsample=None): # Grab the parameter names and values from the function # arguments @@ -1400,6 +1400,10 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f 'datacube. Depending on the binning used, some voxels may be empty (zero flux) while a ' \ 'neighbouring voxel might contain the flux from two spec2d pixels.' + defaults['subsample'] = 10 + dtypes['subsample'] = int + descr['subsample'] = 'TBC' + defaults['ra_min'] = None dtypes['ra_min'] = float descr['ra_min'] = 'Minimum RA to use when generating the WCS. If None, the default is minimum RA ' \ @@ -1484,8 +1488,8 @@ def from_dict(cls, cfg): k = np.array([*cfg.keys()]) # Basic keywords - parkeys = ['slit_spec', 'output_filename', 'standard_cube', 'reference_image', - 'save_whitelight', 'method', 'ra_min', 'ra_max', 'dec_min', 'dec_max', 'wave_min', 'wave_max', + parkeys = ['slit_spec', 'output_filename', 'standard_cube', 'reference_image', 'save_whitelight', + 'method', 'subsample', 'ra_min', 'ra_max', 'dec_min', 'dec_max', 'wave_min', 'wave_max', 'spatial_delta', 'wave_delta', 'relative_weights', 'combine', 'astrometric', 'grating_corr', 'scale_corr', 'skysub_frame'] From 34e1faf95f9d0f5bec0bcd602a070211f8b96a12 Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 9 Nov 2022 13:16:49 +0000 Subject: [PATCH 037/308] outputWCS --- pypeit/core/datacube.py | 18 +++++++++++++----- pypeit/core/extract.py | 3 +++ pypeit/par/pypeitpar.py | 4 ++-- 3 files changed, 18 insertions(+), 7 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index e631ef5f8d..ddc3ce8b26 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1211,7 +1211,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, - fluxcal=False, sensfunc=None, specname="PYP_SPEC"): + fluxcal=False, sensfunc=None, specname="PYP_SPEC", output_wcs=None): """ Save a datacube using the subsample algorithm. This algorithm is a combination of the "nearest grid point" and "resample" algorithms. @@ -1257,6 +1257,8 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al specname (str, optional): Name of the spectrograph """ + if output_wcs is None: + output_wcs = frame_wcs # Prepare the output arrays outshape = (bins[0].size-1, bins[1].size-1, bins[2].size-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) @@ -1280,9 +1282,9 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... - specpos = tilts[wpix] * (slits.nspec - 1) + ssamp_offs[yy] + specpos = tilts[wpix]*(slits.nspec - 1) + ssamp_offs[yy] world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, spatpos, specpos, 0) - pix_coord = frame_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) + pix_coord = output_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) # Now assemble this position of the datacube tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) @@ -1296,7 +1298,7 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al varcube *= nc_inverse**2 # Prepare the header, and add the unit of flux to the header - hdr = frame_wcs.to_header() + hdr = output_wcs.to_header() if fluxcal: hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") else: @@ -1894,13 +1896,19 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): bins = spec.get_datacube_bins(slitlength, minmax, numwav) # Make the datacube if method == 'subsample': + # Generate the output WCS for the datacube + crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] + cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] + cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg*3600.0 + output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Get the slit image and then unset pixels in the slit image that are bad slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname, subsample=cubepar['subsample']) + fluxcal=fluxcal, specname=specname, subsample=cubepar['subsample'], + output_wcs=output_wcs) elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] diff --git a/pypeit/core/extract.py b/pypeit/core/extract.py index aaca756bf5..482cf544a2 100644 --- a/pypeit/core/extract.py +++ b/pypeit/core/extract.py @@ -693,6 +693,9 @@ def fit_profile(image, ivar, waveimg, thismask, spat_img, trace_in, wave, waveimg: `numpy.ndarray`_ Floating-point wavelength image. Must have the same shape as ``image``, :math:`(N_{\rm spec}, N_{\rm spat})`. + thismask : `numpy.ndarray`_ + Boolean image indicating which pixels are on the slit/order in question. + Must have the same shape as ``sciimg``, :math:`(N_{\rm spec}, N_{\rm spat})`. spat_img: `numpy.ndarray`_ Floating-point image containing the spatial location of pixels. Must have the same shape as ``image``, :math:`(N_{\rm spec}, N_{\rm spat})`. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 59a88ef72a..6c2e8245c9 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -2041,7 +2041,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ pars['pix_shift_bounds'] = tuple_force(pars['pix_shift_bounds']) defaults['pix_shift_bounds'] = (-5.0,5.0) dtypes['pix_shift_bounds'] = tuple - descr['pix_shift_bounds'] = ' Bounds for the pixel shift optimization in telluric model fit in units of pixels. ' \ + descr['pix_shift_bounds'] = 'Bounds for the pixel shift optimization in telluric model fit in units of pixels. ' \ 'The atmosphere will be allowed to shift within this range during the fit.' pars['delta_coeff_bounds'] = tuple_force(pars['delta_coeff_bounds']) @@ -2131,7 +2131,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ defaults['disp'] = False dtypes['disp'] = bool - descr['disp'] = 'Argument for scipy.optimize.differential_evolution which will display status messages to the ' \ + descr['disp'] = 'Argument for scipy.optimize.differential_evolution which will display status messages to the ' \ 'screen indicating the status of the optimization. See documentation for telluric.Telluric ' \ 'for a description of the output and how to know if things are working well.' From a9b6e1ed42f529a831a4eeb4a0de359dc86ecf17 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 9 Nov 2022 13:30:35 +0000 Subject: [PATCH 038/308] updates --- pypeit/core/datacube.py | 2 +- pypeit/par/pypeitpar.py | 4 +++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index e631ef5f8d..9693436af5 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1280,7 +1280,7 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... - specpos = tilts[wpix] * (slits.nspec - 1) + ssamp_offs[yy] + specpos = wpix[0] + ssamp_offs[yy]#tilts[wpix] * (slits.nspec - 1) + ssamp_offs[yy] world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, spatpos, specpos, 0) pix_coord = frame_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) # Now assemble this position of the datacube diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 59a88ef72a..28779b308f 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1402,7 +1402,9 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f defaults['subsample'] = 10 dtypes['subsample'] = int - descr['subsample'] = 'TBC' + descr['subsample'] = 'Subpixellation scale of each pixel when method=subsample. The total number of ' \ + 'subpixels in each pixel is given by subsample^2. The default option is to divide ' \ + 'each spec2d pixel into 100 subpixels during datacube creation.' defaults['ra_min'] = None dtypes['ra_min'] = float From 12c92effbfa82d660fe952aacac6d25783552205 Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 9 Nov 2022 19:39:14 +0000 Subject: [PATCH 039/308] specpix fix --- pypeit/core/datacube.py | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ddc3ce8b26..bdfacda05d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1256,6 +1256,8 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al Sensitivity function that has been applied to the datacube specname (str, optional): Name of the spectrograph + output_wcs (`astropy.wcs.wcs.WCS`_): + Output WCS - if None, the frame_wcs will be used. """ if output_wcs is None: output_wcs = frame_wcs @@ -1275,6 +1277,11 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al this_sl = np.where(all_sltid==spatid) wpix = np.where(slitid_img_gpm==spatid) slitID = np.ones(wpix[0].size) * sl - frame_wcs.wcs.crpix[0] + # Generate a spline between spectral pixel position and wavelength + yspl = tilts[wpix]*(slits.nspec - 1) + wspl = all_wave[this_sl] + asrt = np.argsort(yspl) + wave_spl = interp1d(yspl[asrt], wspl[asrt], kind='linear', bounds_error=False, fill_value='extrapolate') for xx in range(subsample): for yy in range(subsample): # Calculate the tranformation from detector pixels to voxels @@ -1282,9 +1289,9 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... - specpos = tilts[wpix]*(slits.nspec - 1) + ssamp_offs[yy] - world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, spatpos, specpos, 0) - pix_coord = output_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, all_wave[this_sl] * 1.0E-10)).T, 0) + specpos = wave_spl(tilts[wpix]*(slits.nspec - 1) + ssamp_offs[yy]) + world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, spatpos, np.zeros(slitID.size), 0) + pix_coord = output_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, specpos * 1.0E-10)).T, 0) # Now assemble this position of the datacube tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) @@ -2046,12 +2053,12 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): coord_min = [ra_min, dec_min, wav_min] coord_dlt = [dspat, dspat, dwv] masterwcs = generate_masterWCS(coord_min, coord_dlt, name=specname) - msgs.info(msgs.newline()+"-"*40 + + msgs.info(msgs.newline() + "-" * 40 + msgs.newline() + "Parameters of the WCS:" + msgs.newline() + "RA min, max = {0:f}, {1:f}".format(ra_min, ra_max) + msgs.newline() + "DEC min, max = {0:f}, {1:f}".format(dec_min, dec_max) + msgs.newline() + "WAVE min, max = {0:f}, {1:f}".format(wav_min, wav_max) + - msgs.newline() + "Spaxel size = {0:f}''".format(3600.0*dspat) + + msgs.newline() + "Spaxel size = {0:f} arcsec".format(3600.0*dspat) + msgs.newline() + "Wavelength step = {0:f} A".format(dwv) + msgs.newline() + "-" * 40) From dc6d92d1c6460ca60317209511098817cee44a98 Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 9 Nov 2022 20:55:30 +0000 Subject: [PATCH 040/308] cleanup --- pypeit/core/datacube.py | 61 ++++++++++++++--------------------------- 1 file changed, 20 insertions(+), 41 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index bdfacda05d..c4c2490b2e 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1209,9 +1209,9 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) -def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, +def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, - fluxcal=False, sensfunc=None, specname="PYP_SPEC", output_wcs=None): + fluxcal=False, sensfunc=None, specname="PYP_SPEC"): """ Save a datacube using the subsample algorithm. This algorithm is a combination of the "nearest grid point" and "resample" algorithms. @@ -1219,8 +1219,8 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al Args: outfile (`str`): Filename to be used to save the datacube - frame_wcs (`astropy.wcs.wcs.WCS`_): - World coordinate system for this frame. + output_wcs (`astropy.wcs.wcs.WCS`_): + Output world coordinate system. all_sci (`numpy.ndarray`_): 1D flattened array containing the counts of each pixel from all spec2d files all_ivar (`numpy.ndarray`_): @@ -1256,11 +1256,7 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al Sensitivity function that has been applied to the datacube specname (str, optional): Name of the spectrograph - output_wcs (`astropy.wcs.wcs.WCS`_): - Output WCS - if None, the frame_wcs will be used. """ - if output_wcs is None: - output_wcs = frame_wcs # Prepare the output arrays outshape = (bins[0].size-1, bins[1].size-1, bins[2].size-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) @@ -1272,14 +1268,15 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # Loop through all slits all_sltid = slitid_img_gpm[(slitid_img_gpm > 0)] all_var = utils.inverse(all_ivar) + wave0, wave_delta = output_wcs.wcs.crval[2], output_wcs.wcs.cd[2, 2] for sl, spatid in enumerate(slits.spat_id): - msgs.info(f"Assembling datacube for slit {sl+1}/{slits.nslits}") + msgs.info(f"Resampling slit {sl+1}/{slits.nslits} into the datacube") this_sl = np.where(all_sltid==spatid) wpix = np.where(slitid_img_gpm==spatid) - slitID = np.ones(wpix[0].size) * sl - frame_wcs.wcs.crpix[0] + slitID = np.ones(wpix[0].size) * sl - output_wcs.wcs.crpix[0] # Generate a spline between spectral pixel position and wavelength yspl = tilts[wpix]*(slits.nspec - 1) - wspl = all_wave[this_sl] + wspl = all_wave[this_sl]*1.0E-10 asrt = np.argsort(yspl) wave_spl = interp1d(yspl[asrt], wspl[asrt], kind='linear', bounds_error=False, fill_value='extrapolate') for xx in range(subsample): @@ -1289,10 +1286,9 @@ def generate_cube_subsample(outfile, frame_wcs, all_sci, all_ivar, all_wghts, al # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... - specpos = wave_spl(tilts[wpix]*(slits.nspec - 1) + ssamp_offs[yy]) - world_ra, world_dec, _ = frame_wcs.wcs_pix2world(slitID, spatpos, np.zeros(slitID.size), 0) - pix_coord = output_wcs.wcs_world2pix(np.vstack((world_ra, world_dec, specpos * 1.0E-10)).T, 0) + specpos = (wave_spl(tilts[wpix]*(slits.nspec - 1) + ssamp_offs[yy]) - wave0) / wave_delta # Now assemble this position of the datacube + pix_coord = np.column_stack((slitID, spatpos, specpos)) tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) tmp_nm, _ = np.histogramdd(pix_coord, bins=bins, weights=all_wght_subsmp[this_sl]) @@ -1901,47 +1897,30 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) numwav = int((np.max(waveimg) - wave0) / dwv) bins = spec.get_datacube_bins(slitlength, minmax, numwav) + # Generate the output WCS for the datacube + crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] + cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] + cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg * 3600.0 + output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Make the datacube - if method == 'subsample': - # Generate the output WCS for the datacube - crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] - cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] - cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg*3600.0 - output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) + if method in ['subsample', 'ngp']: + if method == 'ngp': subsample = 1 + else: subsample = cubepar['subsample'] # Get the slit image and then unset pixels in the slit image that are bad slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 - generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), + generate_cube_subsample(outfile, output_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname, subsample=cubepar['subsample'], - output_wcs=output_wcs) + fluxcal=fluxcal, specname=specname, subsample=subsample) elif method == 'resample': fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) fluximg[onslit_gpm] = flux_sav[resrt] ivarimg[onslit_gpm] = ivar_sav[resrt] - # Generate the output WCS for the datacube - crval_wv = cubepar['wave_min'] if cubepar['wave_min'] is not None else 1.0E10 * frame_wcs.wcs.crval[2] - cd_wv = cubepar['wave_delta'] if cubepar['wave_delta'] is not None else 1.0E10 * frame_wcs.wcs.cd[2, 2] - cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg*3600.0 - output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Now generate the cube generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitid_img_init, onslit_gpm, overwrite=overwrite, output_wcs=output_wcs, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname) - elif method == 'ngp': - msgs.info("Generating pixel coordinates") - slitid_img_gpm = slitid_img_init.copy() - slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 - generate_cube_subsample(outfile, frame_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), - wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, - overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname, subsample=1) - # pix_coord = frame_wcs.wcs_world2pix(np.vstack((raimg[onslit_gpm], decimg[onslit_gpm], wave_ext * 1.0E-10)).T, 0) - # hdr = frame_wcs.to_header() - # generate_cube_ngp(outfile, hdr, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), pix_coord, bins, - # overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - # fluxcal=fluxcal, specname=specname) else: msgs.error(f"The following method is not yet implemented: {method}") continue From baf826e5aafca3665a4f0b21471ef1cb98405fa8 Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 9 Nov 2022 21:06:04 +0000 Subject: [PATCH 041/308] cleanup --- pypeit/core/datacube.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index c4c2490b2e..955eeca2f4 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1213,8 +1213,11 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC"): """ - Save a datacube using the subsample algorithm. This algorithm is a combination of the - "nearest grid point" and "resample" algorithms. + Save a datacube using the subsample algorithm. This algorithm splits + each detector pixel into multiple subpixels, and then assigns each + subpixel to a voxel. For example, if subsample=10, then each detector + pixel is subsampled by 10^2=100 subpixels. When subsample=1, this + corresponds to the nearest grid point (NGP) algorithm. Args: outfile (`str`): @@ -1276,7 +1279,7 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a slitID = np.ones(wpix[0].size) * sl - output_wcs.wcs.crpix[0] # Generate a spline between spectral pixel position and wavelength yspl = tilts[wpix]*(slits.nspec - 1) - wspl = all_wave[this_sl]*1.0E-10 + wspl = all_wave[this_sl] asrt = np.argsort(yspl) wave_spl = interp1d(yspl[asrt], wspl[asrt], kind='linear', bounds_error=False, fill_value='extrapolate') for xx in range(subsample): From 9e227ec349a6a978e8418117e7a823794bdb1ffd Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 9 Nov 2022 21:17:43 +0000 Subject: [PATCH 042/308] resid --- pypeit/core/datacube.py | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 955eeca2f4..1ec0aa407b 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1211,7 +1211,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, - fluxcal=False, sensfunc=None, specname="PYP_SPEC"): + fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ Save a datacube using the subsample algorithm. This algorithm splits each detector pixel into multiple subpixels, and then assigns each @@ -1259,11 +1259,14 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a Sensitivity function that has been applied to the datacube specname (str, optional): Name of the spectrograph + debug (bool): + If True, a residuals cube will be output. If the datacube generation is correct, the + distribution of pixels in the residual cube with no flux should have mean=0 and std=1. """ # Prepare the output arrays outshape = (bins[0].size-1, bins[1].size-1, bins[2].size-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) - + if debug: residcube = np.zeros(outshape) # Subsample each pixel ssamp_offs = np.arange(0.5/subsample, 1, 1/subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. area = 1/subsample**2 @@ -1295,6 +1298,9 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) tmp_nm, _ = np.histogramdd(pix_coord, bins=bins, weights=all_wght_subsmp[this_sl]) + if debug: + tmp_rsd, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * np.sqrt(all_ivar[this_sl])) + residcube += tmp_rsd datacube += tmp_dc varcube += tmp_vr normcube += tmp_nm @@ -1302,6 +1308,7 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a nc_inverse = utils.inverse(normcube) datacube *= nc_inverse varcube *= nc_inverse**2 + if debug: residcube *= nc_inverse # Prepare the header, and add the unit of flux to the header hdr = output_wcs.to_header() @@ -1315,6 +1322,13 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a final_cube = DataCube(datacube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) + # Save a residuals cube, if requested + if debug: + outfile_resid = outfile.replace(".fits", "_resid.fits") + msgs.info("Saving residuals datacube as: {0:s}".format(outfile_resid)) + hdu = fits.PrimaryHDU(residcube.T, header=hdr) + hdu.writeto(outfile_resid, overwrite=overwrite) + def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, From baa3673d38a865b6b6b18894efc414728917206f Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 24 Feb 2023 09:42:09 +0000 Subject: [PATCH 043/308] update changes --- CHANGES.rst | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/CHANGES.rst b/CHANGES.rst index 26eaafb5ab..a3ea8b8790 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,3 +1,7 @@ +1.12.2dev +-------------------- + +- Implemented a resample algorithm when generating datacubes 1.12.1 (21 Feb 2023) -------------------- @@ -29,7 +33,6 @@ - Allow separate sky frame to be used for sky subtraction with IFU data - Limit the images written to the MasterEdges file to only the trace image, mask, and detector. -- Implemented a resample algorithm when generating datacubes - Refactor quicklook scripts - OpenMP link fix - Enable boxcar_radius for manual extraction From b85f15cae37d6d2fa4e1a3d772e21cb6f4a17972 Mon Sep 17 00:00:00 2001 From: profxj Date: Wed, 1 Mar 2023 18:47:19 -0800 Subject: [PATCH 044/308] it begins --- pypeit/metadata.py | 1 + pypeit/scripts/ql.py | 10 ++++++++++ pypeit/scripts/ql_multislit.py | 4 ---- 3 files changed, 11 insertions(+), 4 deletions(-) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 4d54daab1a..1f35322896 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -946,6 +946,7 @@ def _set_calib_group_bits(self): # provided, regardless of whether or not a science frame is # assigned to that group. ngroups = 0 + embed(header='949 of metadata.py') for i in range(len(self)): if self['calib'][i] in ['all', 'None']: # No information, keep going diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 9254086dbd..57cd15656f 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -303,6 +303,10 @@ def get_parser(cls, width=None): parser.add_argument('--no_stack', dest='stack', default=True, action="store_false", help='Do *not* stack multiple science frames') + parser.add_argument("--bkg_redux", default=False, action='store_true', + help='If set the script will perform difference imaging quicklook. Namely it will identify ' + 'sequences of AB pairs based on the dither pattern and perform difference imaging sky ' + 'subtraction and fit for residuals') return parser @@ -339,6 +343,7 @@ def main(args): msgs.info('Master files already exist. Skipping calibration.') continue # Run + #embed(header='346 of ql.py') pypeIt = pypeit.PypeIt(calib_pypeit_file, redux_path=redux_path, calib_only=True) @@ -356,6 +361,11 @@ def main(args): if np.sum(sci_idx) == 0: msgs.error('No science frames found in the provided files. Add at least one or specify using --sci_files.') + if args.bkg_redux: + dither_pattern, dither_id, offset_arcsec = \ + ps.spectrograph.parse_dither_pattern(files) + embed(header='366 of ql.py') + # Generate science setup object full_scifiles = [os.path.join(dir_path, sci_file) for dir_path, sci_file in zip( ps.fitstbl['directory'][sci_idx], ps.fitstbl['filename'][sci_idx])] diff --git a/pypeit/scripts/ql_multislit.py b/pypeit/scripts/ql_multislit.py index 84a32fa108..298d8a19bb 100644 --- a/pypeit/scripts/ql_multislit.py +++ b/pypeit/scripts/ql_multislit.py @@ -9,8 +9,6 @@ import copy import time -from pkg_resources import resource_filename - from IPython import embed import numpy as np @@ -21,9 +19,7 @@ from pypeit import utils from pypeit import data -from pypeit import pypeit from pypeit import par, msgs -from pypeit import pypeitsetup from pypeit import wavecalib from pypeit import wavetilts from pypeit import spec2dobj From a3bf3e0c02cce108cc1a12c5a6f343f9fb70ae7c Mon Sep 17 00:00:00 2001 From: profxj Date: Fri, 3 Mar 2023 06:25:42 -0800 Subject: [PATCH 045/308] slow progress --- pypeit/metadata.py | 6 +++-- pypeit/pypeit.py | 3 +++ pypeit/scripts/ql.py | 3 +-- pypeit/spectrographs/keck_nires.py | 36 ++++++++++++++++++++++++++++++ 4 files changed, 44 insertions(+), 4 deletions(-) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 1f35322896..2f8798704c 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -946,14 +946,16 @@ def _set_calib_group_bits(self): # provided, regardless of whether or not a science frame is # assigned to that group. ngroups = 0 - embed(header='949 of metadata.py') for i in range(len(self)): if self['calib'][i] in ['all', 'None']: # No information, keep going continue # Convert to a list of numbers (after recasting to str) - l = np.amax([ 0 if len(n) == 0 else int(n) + try: + l = np.amax([ 0 if len(n) == 0 else int(n) for n in str(self['calib'][i]).replace(':',',').split(',')]) + except: + embed(header='958 of metadata.py') # Check against current maximum ngroups = max(l+1, ngroups) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 22006f0d5b..5d922eb950 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -154,6 +154,9 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, strict=True) # - Interpret automated or user-provided data from the PypeIt # file + # HACK ME!! + self.fitstbl.table['calib'] = ['1', '1', 'all', 'all', 'all'] + # self.fitstbl.finalize_usr_build( self.pypeItFile.frametypes, self.pypeItFile.setup_name) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 57cd15656f..731d3af172 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -363,8 +363,7 @@ def main(args): if args.bkg_redux: dither_pattern, dither_id, offset_arcsec = \ - ps.spectrograph.parse_dither_pattern(files) - embed(header='366 of ql.py') + ps.spectrograph.parse_dither_pattern(np.array(files)[sci_idx]) # Generate science setup object full_scifiles = [os.path.join(dir_path, sci_file) for dir_path, sci_file in zip( diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index e83f38ead5..7059057db1 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -5,6 +5,8 @@ """ import numpy as np +from astropy.io import fits + from pypeit import msgs from pypeit import telescopes from pypeit.core import framematch @@ -463,5 +465,39 @@ def order_platescale(self, order_vec, binning=None): return np.full(order_vec.size, 0.15) + def parse_dither_pattern(self, file_list, ext=None): + """ + Parse headers from a file list to determine the dither pattern. + + Parameters + ---------- + file_list (list of strings): + List of files for which dither pattern is desired + ext (int, optional): + Extension containing the relevant header for these files. Default=None. If None, code uses + self.primary_hdrext + + Returns + ------- + dither_pattern, dither_id, offset_arcsec + + dither_pattern (str `numpy.ndarray`_): + Array of dither pattern names + dither_id (str `numpy.ndarray`_): + Array of dither pattern IDs + offset_arc (float `numpy.ndarray`_): + Array of dither pattern offsets + """ + nfiles = len(file_list) + offset_arcsec = np.zeros(nfiles) + dither_pattern = [] + dither_id = [] + for ifile, file in enumerate(file_list): + hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) + # TODO REPLACE THIS WITH PROPER CODE + dither_pattern.append(hdr['PATTERN']) + dither_id.append(ifile) + offset_arcsec[ifile] = ifile + 1. + return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) From 543fe891bab09e4292b98003e334b474f195ac62 Mon Sep 17 00:00:00 2001 From: profxj Date: Fri, 3 Mar 2023 06:48:40 -0800 Subject: [PATCH 046/308] getting there --- pypeit/pypeit.py | 3 +- pypeit/scripts/ql.py | 85 +++++++++++++++++++++++++++++- pypeit/spectrographs/keck_nires.py | 3 +- 3 files changed, 88 insertions(+), 3 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 5d922eb950..27761eaec2 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -155,7 +155,8 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, # - Interpret automated or user-provided data from the PypeIt # file # HACK ME!! - self.fitstbl.table['calib'] = ['1', '1', 'all', 'all', 'all'] + if len(self.fitstbl.table) == 5: + self.fitstbl.table['calib'] = ['1', '1', 'all', 'all', 'all'] # self.fitstbl.finalize_usr_build( self.pypeItFile.frametypes, diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 731d3af172..0fc4d2a17b 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -29,12 +29,15 @@ import configobj +from astropy.io import fits + from pypeit import utils from pypeit import masterframe from pypeit import msgs from pypeit import pypeitsetup from pypeit import io from pypeit import pypeit +from pypeit.core.parse import get_dnum, parse_binning from pypeit.scripts import scriptbase from pypeit.spectrographs import available_spectrographs from pypeit.slittrace import SlitTraceSet @@ -79,6 +82,8 @@ def generate_sci_pypeitfile(redux_path:str, slitspatnum:str=None, maskID:str=None, boxcar_radius:float=None, + bkg_redux:bool=False, + dither_id:np.ndarray=None, stack:bool=True): """ Generate the PypeIt file for the science frames @@ -108,6 +113,8 @@ def generate_sci_pypeitfile(redux_path:str, maskID (str, optional): Mask ID to isolate for QL. Defaults to None. boxcar_radius (float, optional): Boxcar radius for extraction. In units of arcsec. Defaults to None. + dither_id (np.ndarray, optional): Dither ID for each science frame. + bkg_redux (bool, optional): Setup for A-B subtraction. Defaults to False. stack (bool, optional): Stack the science frames. Defaults to True. Returns: @@ -201,6 +208,21 @@ def generate_sci_pypeitfile(redux_path:str, if len(sci_files) > 1 and stack: ps_sci.fitstbl['comb_id'] = 1 + # A-B? + if bkg_redux: + new_comb = np.zeros_like(ps_sci.fitstbl['comb_id'], dtype=int) + new_bkg = np.zeros_like(ps_sci.fitstbl['bkg_id'], dtype=int) + As = dither_id == 'A' + Bs = dither_id == 'B' + # Set + new_comb[As] = 1 + new_comb[Bs] = 2 + new_bkg[As] = 2 + new_bkg[Bs] = 1 + # Finish + ps_sci.fitstbl['comb_id'] = new_comb + ps_sci.fitstbl['bkg_id'] = new_bkg + # Generate pypeitFile = inputfiles.PypeItFile( config=config_lines, @@ -362,8 +384,24 @@ def main(args): msgs.error('No science frames found in the provided files. Add at least one or specify using --sci_files.') if args.bkg_redux: + sci_files = np.array(files)[sci_idx] dither_pattern, dither_id, offset_arcsec = \ - ps.spectrograph.parse_dither_pattern(np.array(files)[sci_idx]) + ps.spectrograph.parse_dither_pattern(sci_files) + # TODO -- Add a check here that we have A and B + _det = parse_det(args.det if args.det is not None else '1', + ps.spectrograph) + det_container = ps.spectrograph.get_detector_par( + _det, hdu=fits.open(files[0])) + binspectral, binspatial = parse_binning( + det_container['binning']) + platescale = det_container['platescale']*binspatial + target = ps.spectrograph.get_meta_value(sci_files[0], 'target') + print_offset_report(sci_files, dither_pattern, dither_id, + offset_arcsec, target, platescale) + else: + dither_pattern = None + dither_id = None + offset_arcsec = None # Generate science setup object full_scifiles = [os.path.join(dir_path, sci_file) for dir_path, sci_file in zip( @@ -404,6 +442,8 @@ def main(args): slitspatnum=args.slitspatnum, det=args.det, boxcar_radius=args.boxcar_radius, + bkg_redux=args.bkg_redux, + dither_id=dither_id, stack=args.stack) # Run it @@ -411,6 +451,49 @@ def main(args): pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_masters=True, redux_path=redux_path) + embed(header='454 of ql.py') pypeIt.reduce_all() pypeIt.build_qa() msgs.info(f'Quicklook completed in {utils.get_time_string(time.perf_counter()-tstart)} seconds') + +def print_offset_report(files:list, dither_pattern:np.array, dither_id:np.array, + offset_arcsec:np.array, target:str, platescale:float): + + if len(np.unique(dither_pattern)) > 1: + msgs.error('Script only supported for a single type of dither pattern.') + A_files = files[dither_id == 'A'] + B_files = files[dither_id == 'B'] + nA = len(A_files) + nB = len(B_files) + + # Print out a report on the offsets + msg_string = msgs.newline() + '*******************************************************' + msg_string += msgs.newline() + ' Summary of offsets for target {:s} with dither pattern: {:s}'.format(target, + dither_pattern[ + 0]) + msg_string += msgs.newline() + '*******************************************************' + msg_string += msgs.newline() + 'filename Position arcsec pixels ' + msg_string += msgs.newline() + '----------------------------------------------------' + for iexp, file in enumerate(files): + msg_string += msgs.newline() + ' {:s} {:s} {:6.2f} {:6.2f}'.format( + os.path.basename(file), dither_id[iexp], offset_arcsec[iexp], offset_arcsec[iexp] / platescale) + msg_string += msgs.newline() + '********************************************************' + msgs.info(msg_string) + +#TODO Need a utility routine to deal with this +# I bet one already exists. KW? +def parse_det(det, spectrograph): + if 'mosaic' in det: + mosaic = True + _det = spectrograph.default_mosaic + if _det is None: + msgs.error(f'{spectrograph.name} does not have a known mosaic') + else: + try: + _det = tuple(int(d) for d in det) + except: + msgs.error(f'Could not convert detector input to integer.') + mosaic = len(_det) > 1 + if not mosaic: + _det = _det[0] + return _det \ No newline at end of file diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 7059057db1..db592d69d9 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -495,8 +495,9 @@ def parse_dither_pattern(self, file_list, ext=None): for ifile, file in enumerate(file_list): hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) # TODO REPLACE THIS WITH PROPER CODE + did = 'A' if ifile == 0 else 'B' dither_pattern.append(hdr['PATTERN']) - dither_id.append(ifile) + dither_id.append(did) offset_arcsec[ifile] = ifile + 1. return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) From 03c402ad817e17279f44fb60a906dff6b6587538 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 5 Mar 2023 08:43:21 +0000 Subject: [PATCH 047/308] update changes --- CHANGES.rst | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index e2f36f9005..0594776f86 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,11 +1,7 @@ 1.12.2dev --------------------- +--------- - Implemented a resample algorithm when generating datacubes - -1.12.1.dev (22 Feb 2023) ------------------------- - - Gemini/GMOS mask design slurping and usage - New GMOS wavelength solution From dda7c40ae49a498d888af6a74eaf4eebc9b7166f Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 5 Mar 2023 19:31:23 +0000 Subject: [PATCH 048/308] fix circ import --- pypeit/core/datacube.py | 37 ++++++++++++++++++++++++++++++++++++- pypeit/slittrace.py | 26 ++++---------------------- 2 files changed, 40 insertions(+), 23 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 327131439a..02543eddcb 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -170,6 +170,40 @@ def to_file(self, ofile, primary_hdr=None, hdr=None, **kwargs): super(DataCube, self).to_file(ofile, primary_hdr=primary_hdr, hdr=hdr, **kwargs) +def get_alignments(traces, locations, tilts): + """Generate an RA and DEC image for every pixel in the frame + NOTE: This function is currently only used for IFU reductions. + + Parameters + ---------- + traces : `numpy.ndarray` + The alignments (traces) of the slits. This allows different slices + to be aligned correctly. Ideally, this variable will be assigned the + value of alignments.traces. However, this can also be assigned the + left and right slit edges: + traces = np.append(left.reshape((left.shape[0],1,left.shape[1])), + right.reshape((left.shape[0],1,left.shape[1])), axis=1) + In this case, locations=np.array([0,1]) + tilts : `numpy.ndarray` + Spectral tilts. + locations : `numpy.ndarray`_, list + locations along the slit of the alignment traces. Must + be a 1D array of the same length as alignments.traces.shape[1] + + Returns + ------- + `pypeit.alignframe.AlignmentSplines` : An instance of the AlignmentSplines class that allows + one to build and transform between detector pixel coordinates and WCS pixel coordinates. + """ + msgs.work("Spatial flexure is not currently implemented for the astrometric alignment") + if type(locations) is list: + locations = np.array(locations) + if locations.size != traces.shape[1]: + msgs.error("The size of locations must be the same as traces.shape[1]") + # Calculate and return the astrometric transform + return alignframe.AlignmentSplines(traces, locations, tilts) + + def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pressure, temperature, rel_humidity): """ Generates a fitting function to calculate the offset due to differential atmospheric refraction @@ -1788,7 +1822,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): traces = alignments.traces # Generate an RA/DEC image msgs.info("Generating RA/DEC image") - raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, traces, spec2DObj.tilts, locations, + alignSplines = get_alignments(traces, locations, tilts) + raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, initial=True, flexure=flexure) # Perform the DAR correction diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 4dd7a79562..5c8768159b 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -21,7 +21,6 @@ from pypeit import msgs from pypeit import datamodel from pypeit import specobj -from pypeit import alignframe from pypeit.bitmask import BitMask from pypeit.core import parse @@ -427,7 +426,7 @@ def get_slitlengths(self, initial=False, median=False): slitlen = np.median(slitlen, axis=1) return slitlen - def get_radec_image(self, wcs, traces, tilts, locations, initial=True, flexure=None): + def get_radec_image(self, wcs, alignSplines, tilts, initial=True, flexure=None): """Generate an RA and DEC image for every pixel in the frame NOTE: This function is currently only used for IFU reductions. @@ -435,19 +434,11 @@ def get_radec_image(self, wcs, traces, tilts, locations, initial=True, flexure=N ---------- wcs : astropy.wcs The World Coordinate system of a science frame - traces : `numpy.ndarray` - The alignments (traces) of the slits. This allows different slices - to be aligned correctly. Ideally, this variable will be assigned the - value of alignments.traces. However, this can also be assigned the - left and right slit edges: - traces = np.append(left.reshape((left.shape[0],1,left.shape[1])), - right.reshape((left.shape[0],1,left.shape[1])), axis=1) - In this case, locations=np.array([0,1]) + alignSplines : `pypeit.alignframe.AlignmentSplines` + An instance of the AlignmentSplines class that allows + one to build and transform between detector pixel coordinates and WCS pixel coordinates. tilts : `numpy.ndarray` Spectral tilts. - locations : `numpy.ndarray`_, list - locations along the slit of the alignment traces. Must - be a 1D array of the same length as alignments.traces.shape[1] initial : bool Select the initial slit edges? flexure : float, optional @@ -464,15 +455,6 @@ def get_radec_image(self, wcs, traces, tilts, locations, initial=True, flexure=N the transformation between detector pixel coordinates and the WCS pixel coordinates. """ - msgs.work("Spatial flexure is not currently implemented for the astrometric alignment") - if type(locations) is list: - locations = np.array(locations) - if locations.size != traces.shape[1]: - msgs.error("The size of locations must be the same as traces.shape[1]") - - # Calculate the astrometric transform - alignSplines = alignframe.AlignmentSplines(traces, locations, tilts) - # Initialise the output raimg = np.zeros((self.nspec, self.nspat)) decimg = np.zeros((self.nspec, self.nspat)) From 5164ebb61ec43875f3546c6eca7196dc9b7a71cd Mon Sep 17 00:00:00 2001 From: profxj Date: Mon, 6 Mar 2023 12:33:46 -0800 Subject: [PATCH 049/308] A-B running --- pypeit/pypeit.py | 14 +++++++++++--- pypeit/pypeitsetup.py | 10 ++++++++-- pypeit/scripts/ql.py | 3 +-- 3 files changed, 20 insertions(+), 7 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 27761eaec2..711439b330 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -155,8 +155,8 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, # - Interpret automated or user-provided data from the PypeIt # file # HACK ME!! - if len(self.fitstbl.table) == 5: - self.fitstbl.table['calib'] = ['1', '1', 'all', 'all', 'all'] + #self.fitstbl.table['calib'] = ['1', '1', 'all', 'all', 'all'] + #self.fitstbl.table['calib'] = '1' # self.fitstbl.finalize_usr_build( self.pypeItFile.frametypes, @@ -328,7 +328,10 @@ def calib_all(self, run=True): self.par['rdx']['maskIDs'])) # Do it # These need to be separate to accomodate COADD2D - self.caliBrate.set_config(grp_frames[0], self.det, self.par['calibrations']) + try: + self.caliBrate.set_config(grp_frames[0], self.det, self.par['calibrations']) + except: + embed(header='334 of pypeit') # Allow skipping the run (e.g. parse_calib_id.py script) if run: @@ -466,6 +469,11 @@ def reduce_all(self): u_combid = np.unique(self.fitstbl['comb_id'][grp_science]) for j, comb_id in enumerate(u_combid): + # Quicklook mode? + if self.par['rdx']['quicklook'] and j > 0: + msgs.info("Quicklook mode. Only reducing science frames in firs comb_id group") + continue + # frames = np.where(self.fitstbl['comb_id'] == comb_id)[0] # Find all frames whose comb_id matches the current frames bkg_id. bg_frames = np.where((self.fitstbl['comb_id'] == self.fitstbl['bkg_id'][frames][0]) & diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index cff670c721..718ccd0970 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -514,6 +514,8 @@ class is fully instantiated such that the user can def generate_ql_calib_pypeit_files(self, output_path:str, det:str=None, configs:str='all', + calib_IDs:list=None, + bkg_redux:bool=False, clobber:bool=False): """ Generate the PypeIt files for the calibrations for quicklook purposes. @@ -524,6 +526,8 @@ def generate_ql_calib_pypeit_files(self, output_path:str, det (str, optional): Detector/mosaic. Defaults to None. configs (str, optional): Which configurations to generate. Defaults to 'all'. clobber (bool, optional): Overwrite existing files. Defaults to False. + calib_IDs (list, optional): List of calib IDs. Defaults to None. + bkg_redux (bool, optional): Setup for A-B subtraction. Defaults to False. Returns: list: List of calib PypeIt files @@ -538,13 +542,15 @@ def generate_ql_calib_pypeit_files(self, output_path:str, self.user_cfg += [f'detnum = {det}'] self.user_cfg += ['quicklook = True'] - - # TODO -- Remove the science files! We want calibs only + # Calib ID + if calib_IDs is None: + self.fitstbl.table['calib'] = '0' # Write the PypeIt files pypeit_files = self.fitstbl.write_pypeit( output_path=output_path, cfg_lines=self.user_cfg, + write_bkg_pairs=bkg_redux, configs=configs) # Rename calibs diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 0fc4d2a17b..ac9cb64e01 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -354,7 +354,7 @@ def main(args): # Generate PypeIt files (and folders) calib_pypeit_files = ps.generate_ql_calib_pypeit_files( calib_dir, det=args.det, configs='all', - clobber=args.clobber_calibs) + clobber=args.clobber_calibs, bkg_redux=args.bkg_redux) # Process them for calib_pypeit_file in calib_pypeit_files: redux_path = os.path.dirname(calib_pypeit_file) # Path to PypeIt file @@ -451,7 +451,6 @@ def main(args): pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_masters=True, redux_path=redux_path) - embed(header='454 of ql.py') pypeIt.reduce_all() pypeIt.build_qa() msgs.info(f'Quicklook completed in {utils.get_time_string(time.perf_counter()-tstart)} seconds') From 59ead4d4bec8d375cb402935ed31b6d9b7c5a985 Mon Sep 17 00:00:00 2001 From: profxj Date: Mon, 6 Mar 2023 12:35:01 -0800 Subject: [PATCH 050/308] add niresconfig --- doc/dev/reports.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/dev/reports.rst b/doc/dev/reports.rst index 0dbab601f5..c0e1b5ca13 100644 --- a/doc/dev/reports.rst +++ b/doc/dev/reports.rst @@ -17,6 +17,7 @@ development of ``PypeIt``. slitmask_ids deimosconfig mosfireconfig + niresconfig radec_object deimos_wavecalib add_missing_obj From 797ccfdd630c98a9268d37bc4f68b84fe228f8df Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 6 Mar 2023 20:59:23 +0000 Subject: [PATCH 051/308] cleanup --- pypeit/core/datacube.py | 26 ++++---------------------- pypeit/slittrace.py | 14 ++++++-------- 2 files changed, 10 insertions(+), 30 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 02543eddcb..c988301f35 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1124,10 +1124,8 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d ra0, dec0 = np.zeros(nslice), np.zeros(nslice) offsimg = np.zeros_like(waveimg) varimgsq = utils.inverse(ivarimg ** 2) - import time - atime = time.time() for sl, spat_id in enumerate(slits.spat_id): - msgs.info(f"Calculating voxel geometry for slit {spat_id} -- {(time.time()-atime)/60}") + msgs.info(f"Calculating voxel geometry for slit {spat_id}") # Calculate RA and Dec of central traces wsl = np.where(slitimg == spat_id) this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] @@ -1199,8 +1197,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels detgeom = shapely.strtree.STRtree(detpix_polys) # Loop through all voxels for this slice and calculate the overlapping area - #all_area = np.zeros_like(fluximg) - #atime=time.time() for wv in range(nvox_wave): for sp in range(nvox_spat): # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) @@ -1223,7 +1219,6 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d this_flx += area * fluximg[pix_spec, pix_spat] this_var += area**2 * varimgsq[pix_spec, pix_spat] this_area += area - #all_area[pix_spec, pix_spat] += area # Fill in the datacube this_area = 1 if this_area == 0 else this_area datcube[sl, sp, wv] = this_flx / this_area @@ -1243,6 +1238,7 @@ def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, d final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) + def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): @@ -1732,20 +1728,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Grab the slit edges slits = spec2DObj.slits - # debug = False - # if debug: - # embed() - # assert(False) - # from matplotlib import pyplot as plt - # colors = plt.cm.jet(np.linspace(0, 1, slits.nslits)) - # left, right, _ = slits.select_edges(initial=True, flexure=None) - # mid = np.round(0.5*(left+right)).astype(np.int) - # for ss in range(slits.nslits): - # wv = waveimg[(np.arange(waveimg.shape[0]),mid[:,ss],)] - # fx = sciimg[(np.arange(waveimg.shape[0]),mid[:,ss],)] - # plt.plot(wv,fx, color=colors[ss]) - # plt.show() - wave0 = waveimg[waveimg != 0.0].min() # Calculate the delta wave in every pixel on the slit waveimp = np.roll(waveimg, 1, axis=0) @@ -1823,7 +1805,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Generate an RA/DEC image msgs.info("Generating RA/DEC image") alignSplines = get_alignments(traces, locations, tilts) - raimg, decimg, minmax, ast_trans = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, + raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, initial=True, flexure=flexure) # Perform the DAR correction @@ -1964,7 +1946,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 generate_cube_subsample(outfile, output_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), - wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, ast_trans, bins, + wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, alignSplines, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname, subsample=subsample) elif method == 'resample': diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 5c8768159b..7fb592d2ba 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -434,9 +434,9 @@ def get_radec_image(self, wcs, alignSplines, tilts, initial=True, flexure=None): ---------- wcs : astropy.wcs The World Coordinate system of a science frame - alignSplines : `pypeit.alignframe.AlignmentSplines` - An instance of the AlignmentSplines class that allows - one to build and transform between detector pixel coordinates and WCS pixel coordinates. + alignSplines : :class:`pypeit.alignframe.AlignmentSplines` + An instance of the AlignmentSplines class that allows one to build and + transform between detector pixel coordinates and WCS pixel coordinates. tilts : `numpy.ndarray` Spectral tilts. initial : bool @@ -446,14 +446,12 @@ def get_radec_image(self, wcs, alignSplines, tilts, initial=True, flexure=None): Returns ------- - tuple : There are four elements in the tuple. The first two are 2D numpy arrays + tuple : There are three elements in the tuple. The first two are 2D numpy arrays of shape (nspec, nspat), where the first ndarray is the RA image, and the second ndarray is the DEC image. RA and DEC are in units degrees. The third element of the tuple stores the minimum and maximum difference (in pixels) between the WCS reference (usually the centre of the slit) and the edges of - the slits. The third array has a shape of (nslits, 2). The fourth contains - the transformation between detector pixel coordinates and the WCS pixel - coordinates. + the slits. The third array has a shape of (nslits, 2). """ # Initialise the output raimg = np.zeros((self.nspec, self.nspat)) @@ -476,7 +474,7 @@ def get_radec_image(self, wcs, alignSplines, tilts, initial=True, flexure=None): # Set the RA first and DEC next raimg[onslit] = world_ra.copy() decimg[onslit] = world_dec.copy() - return raimg, decimg, minmax, alignSplines + return raimg, decimg, minmax def select_edges(self, initial=False, flexure=None): """ From dfe1f0eae2d0b11bb307891b752cb2f9b3ae924a Mon Sep 17 00:00:00 2001 From: profxj Date: Mon, 6 Mar 2023 15:40:18 -0800 Subject: [PATCH 052/308] polishing --- pypeit/metadata.py | 7 ++---- pypeit/pypeit.py | 9 +------ pypeit/pypeitsetup.py | 3 +++ pypeit/scripts/ql.py | 3 +++ pypeit/spectrographs/keck_nires.py | 38 ------------------------------ 5 files changed, 9 insertions(+), 51 deletions(-) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 2f8798704c..97fde71a26 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -951,11 +951,8 @@ def _set_calib_group_bits(self): # No information, keep going continue # Convert to a list of numbers (after recasting to str) - try: - l = np.amax([ 0 if len(n) == 0 else int(n) - for n in str(self['calib'][i]).replace(':',',').split(',')]) - except: - embed(header='958 of metadata.py') + l = np.amax([ 0 if len(n) == 0 else int(n) + for n in str(self['calib'][i]).replace(':',',').split(',')]) # Check against current maximum ngroups = max(l+1, ngroups) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 711439b330..2fd65d3147 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -154,10 +154,6 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, strict=True) # - Interpret automated or user-provided data from the PypeIt # file - # HACK ME!! - #self.fitstbl.table['calib'] = ['1', '1', 'all', 'all', 'all'] - #self.fitstbl.table['calib'] = '1' - # self.fitstbl.finalize_usr_build( self.pypeItFile.frametypes, self.pypeItFile.setup_name) @@ -328,10 +324,7 @@ def calib_all(self, run=True): self.par['rdx']['maskIDs'])) # Do it # These need to be separate to accomodate COADD2D - try: - self.caliBrate.set_config(grp_frames[0], self.det, self.par['calibrations']) - except: - embed(header='334 of pypeit') + self.caliBrate.set_config(grp_frames[0], self.det, self.par['calibrations']) # Allow skipping the run (e.g. parse_calib_id.py script) if run: diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index 718ccd0970..7538785dfa 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -542,9 +542,12 @@ def generate_ql_calib_pypeit_files(self, output_path:str, self.user_cfg += [f'detnum = {det}'] self.user_cfg += ['quicklook = True'] + # TODO -- Remove this if we can # Calib ID if calib_IDs is None: self.fitstbl.table['calib'] = '0' + else: + self.fitstbl.table['calib'] = calib_IDs # Write the PypeIt files pypeit_files = self.fitstbl.write_pypeit( diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index ac9cb64e01..75d0ed31dc 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -209,6 +209,7 @@ def generate_sci_pypeitfile(redux_path:str, ps_sci.fitstbl['comb_id'] = 1 # A-B? + # TODO -- Remove this if we can replace with spectrograph.get_comb_group() if bkg_redux: new_comb = np.zeros_like(ps_sci.fitstbl['comb_id'], dtype=int) new_bkg = np.zeros_like(ps_sci.fitstbl['bkg_id'], dtype=int) @@ -383,8 +384,10 @@ def main(args): if np.sum(sci_idx) == 0: msgs.error('No science frames found in the provided files. Add at least one or specify using --sci_files.') + # Dither pattern? if args.bkg_redux: sci_files = np.array(files)[sci_idx] + # TODO -- Remove this if we can replace with spectrograph.get_comb_group() dither_pattern, dither_id, offset_arcsec = \ ps.spectrograph.parse_dither_pattern(sci_files) # TODO -- Add a check here that we have A and B diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index db592d69d9..3c6c54f9e0 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -464,41 +464,3 @@ def order_platescale(self, order_vec, binning=None): """ return np.full(order_vec.size, 0.15) - - def parse_dither_pattern(self, file_list, ext=None): - """ - Parse headers from a file list to determine the dither pattern. - - Parameters - ---------- - file_list (list of strings): - List of files for which dither pattern is desired - ext (int, optional): - Extension containing the relevant header for these files. Default=None. If None, code uses - self.primary_hdrext - - Returns - ------- - dither_pattern, dither_id, offset_arcsec - - dither_pattern (str `numpy.ndarray`_): - Array of dither pattern names - dither_id (str `numpy.ndarray`_): - Array of dither pattern IDs - offset_arc (float `numpy.ndarray`_): - Array of dither pattern offsets - """ - nfiles = len(file_list) - offset_arcsec = np.zeros(nfiles) - dither_pattern = [] - dither_id = [] - for ifile, file in enumerate(file_list): - hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) - # TODO REPLACE THIS WITH PROPER CODE - did = 'A' if ifile == 0 else 'B' - dither_pattern.append(hdr['PATTERN']) - dither_id.append(did) - offset_arcsec[ifile] = ifile + 1. - return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) - - From 5ecd03f1e636a8d422bbe4f236f6e509c1db3df5 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 6 Mar 2023 15:41:13 -0800 Subject: [PATCH 053/308] abstract calibration group numbers --- CHANGES.rst | 2 ++ pypeit/core/parse.py | 43 +++++++++++++++++++++----------- pypeit/metadata.py | 51 +++++++++++++++++--------------------- pypeit/tests/test_parse.py | 10 +++++--- 4 files changed, 60 insertions(+), 46 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 67eefaf298..522d1ca072 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -5,6 +5,8 @@ - Gemini/GMOS mask design slurping and usage - New GMOS wavelength solution - Added NIRES tutorial doc +- Calibration group numbers can now be anything, as long as there are no more + than 63 unique integers. 1.12.1 (21 Feb 2023) -------------------- diff --git a/pypeit/core/parse.py b/pypeit/core/parse.py index 0934c92eea..52cfdeae5a 100644 --- a/pypeit/core/parse.py +++ b/pypeit/core/parse.py @@ -6,6 +6,9 @@ """ import inspect + +from IPython import embed + import numpy as np # Logging @@ -266,7 +269,7 @@ def sec2slice(subarray, one_indexed=False, include_end=False, require_dim=None, return tuple(slices) -def str2list(inp, length): +def str2list(inp, length=None): """ Expand a string with a comma-separated set of integers and slices into a list of the relevant integers. @@ -286,9 +289,10 @@ def str2list(inp, length): inp (:obj:`str`): String with a comma-separated set of integers and slices; can also be 'all'. - length (:obj:`int`): - Maximum length of the list, which is needed to allow for - open slices (e.g., '8:'). + length (:obj:`int`, optional): + Maximum length of the list, which is needed to allow for open slices + (e.g., '8:'). If None, open slices and setting ``inp='all'`` will + raise a ValueError. Returns: list: List of parsed integers. @@ -296,15 +300,26 @@ def str2list(inp, length): if inp == 'None': return None - gi = np.arange(length) if inp == 'all': - # Flag 'em all! - return gi.tolist() - - # Parse the input string into a list of integers - grp = np.concatenate([[int(g)] if g.find(':') == -1 else (gi[sec2slice(g)]).tolist() - for g in inp.split(',')]) - - # Return the list, and ensure the integers are unique - return np.unique(grp).tolist() + if length is None: + raise ValueError('To use inp=all in str2list, must provide length.') + return np.arange(length).tolist() + + if length is not None: + gi = np.arange(length) + + groups = inp.split(',') + indices = [] + for i, grp in enumerate(groups): + if ':' in grp: + if (grp[-1] == ':' or grp[0] == ':'): + if length is None: + raise ValueError('To use open ended slices in str2lit, must provide length.') + indices += gi[sec2slice(grp)].tolist() + else: + start, end = map(lambda x: int(x), grp.split(':')) + indices += [i for i in range(start, end)] + else: + indices += [int(grp)] + return np.unique(indices).tolist() diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 4d54daab1a..0f282d05f6 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -937,45 +937,40 @@ def clean_configurations(self): # And remove 'em self.table = self.table[good] + # TODO: Make some tests for this! def _set_calib_group_bits(self): """ Set the calibration group bit based on the string values of the 'calib' column. """ - # Find the number groups by searching for the maximum number - # provided, regardless of whether or not a science frame is - # assigned to that group. - ngroups = 0 - for i in range(len(self)): - if self['calib'][i] in ['all', 'None']: - # No information, keep going - continue - # Convert to a list of numbers (after recasting to str) - l = np.amax([ 0 if len(n) == 0 else int(n) - for n in str(self['calib'][i]).replace(':',',').split(',')]) - # Check against current maximum - ngroups = max(l+1, ngroups) - - # TODO: Change this so that the calib_ID does *not* have to be a - # sequential number. As it is, if the user defines calibration groups - # 1, 2, there ends up being 3 groups, identified as 0, 1, 2. I.e., we - # shouldn't have to force the user to know to start the group IDs at 0 - # and force them to be sequential. They can be anything as long as - # there are less than 64 unique values. + # Collect and expand any lists + group_names = np.unique(np.concatenate( + [s.split(',') for s in self['calib'] if s not in ['all', 'None']])) + # Expand any ranges + keep_group = np.ones(group_names.size, dtype=bool) + added_groups = [] + for i, name in enumerate(group_names): + if ':' in name: + # Parse the range + keep_group[i] = False + added_groups += [str(n) for n in parse.str2list(name)] + # Combine and find the unique *integer* identifiers + group_names = np.unique(np.asarray(added_groups + + (group_names[keep_group]).tolist()).astype(int)) # Define the bitmask and initialize the bits - self.calib_bitmask = BitMask(np.arange(ngroups)) + self.calib_bitmask = BitMask(group_names) self['calibbit'] = 0 - # Set the calibration bits + # Set the bits based on the selected groups for i in range(len(self)): - # Convert the string to the group list - grp = parse.str2list(str(self['calib'][i]), ngroups) - if grp is None: - # No group selected + if self['calib'][i] == 'None': + continue + if self['calib'][i] == 'all': + self['calibbit'][i] = self.calib_bitmask.turn_on(self['calibbit'][i], group_names) continue - # Assign the group; ensure the integers are unique - self['calibbit'][i] = self.calib_bitmask.turn_on(self['calibbit'][i], grp) + self['calibbit'][i] = self.calib_bitmask.turn_on(self['calibbit'][i], + parse.str2list(self['calib'][i])) def _check_calib_groups(self): """ diff --git a/pypeit/tests/test_parse.py b/pypeit/tests/test_parse.py index c7846b53cd..41496b939b 100644 --- a/pypeit/tests/test_parse.py +++ b/pypeit/tests/test_parse.py @@ -34,8 +34,10 @@ def test_str2list(): """ Test the conversion of the string to a list of integers """ - assert np.array_equal(parse.str2list('all', 10), [0,1,2,3,4,5,6,7,8,9]) - assert np.array_equal(parse.str2list(':4', 10), [0,1,2,3]) - assert np.array_equal(parse.str2list('3:5,8:', 10), [3,4,8,9]) - assert np.array_equal(parse.str2list('3,1:5,6', 10), [1,2,3,4,6]) + assert np.array_equal(parse.str2list('all', length=10), [0,1,2,3,4,5,6,7,8,9]) + assert np.array_equal(parse.str2list(':4', length=10), [0,1,2,3]) + assert np.array_equal(parse.str2list('3:5,8:', length=10), [3,4,8,9]) + assert np.array_equal(parse.str2list('3,1:5,6', length=10), [1,2,3,4,6]) + assert np.array_equal(parse.str2list('3,1:5,8:', length=10), [1,2,3,4,8,9]) + From 81546cf35bd957e954f6b9fe864e91b201156a3e Mon Sep 17 00:00:00 2001 From: profxj Date: Mon, 6 Mar 2023 15:42:04 -0800 Subject: [PATCH 054/308] minor edit --- pypeit/spectrographs/keck_nires.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 3c6c54f9e0..9c0cc6361c 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -5,8 +5,6 @@ """ import numpy as np -from astropy.io import fits - from pypeit import msgs from pypeit import telescopes from pypeit.core import framematch From 89cae8a9f84233dc5b642d18dbfa01f95f4cf11a Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 7 Mar 2023 08:20:33 -0800 Subject: [PATCH 055/308] bug fixes --- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos_A.pypeit.rst | 2 +- doc/include/keck_nires_A.pypeit.rst | 2 +- doc/include/shane_kast_blue_A.pypeit.rst | 2 +- pypeit/spectrographs/keck_nires.py | 2 +- pypeit/spectrographs/spectrograph.py | 1 - 6 files changed, 5 insertions(+), 6 deletions(-) diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index bf4a3ada0b..bbf3fc5af3 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.1.dev1+gee479d62d.d20230131 - # UTC 2023-03-06T23:58:37.202 + # UTC 2023-03-07T16:18:16.599 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index 5bc7cb8c80..fe3bb232eb 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.1.dev1+gee479d62d.d20230131 - # UTC 2023-03-06T23:58:36.478 + # UTC 2023-03-07T16:18:16.109 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 5193ab6a06..aa79353d3b 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.1.dev1+gee479d62d.d20230131 - # UTC 2023-03-06T23:58:52.366 + # UTC 2023-03-07T16:18:27.214 # User-defined execution parameters [rdx] diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index 66971fbc4f..148e5e16ea 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.1.dev1+gee479d62d.d20230131 - # UTC 2023-03-06T23:58:29.816 + # UTC 2023-03-07T16:18:10.485 # User-defined execution parameters [rdx] diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index e83f38ead5..192387825a 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -252,7 +252,7 @@ def get_comb_group(self, fitstbl): # set different calib for different targs if 'science' in fitstbl['frametype'][targ_idx][0] or \ ('standard' in fitstbl['frametype'][targ_idx][0] and 'arc' in fitstbl['frametype'][targ_idx][0]): - fitstbl['calib'][targ_idx] = targ_calib + fitstbl['calib'][targ_idx] = str(targ_calib) elif 'standard' in fitstbl['frametype'][targ_idx]: # find the science frames sci_in_cfg = sci_idx & np.array([setup in _set for _set in fitstbl['setup']]) diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index db295a143d..8ee6c5690e 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -780,7 +780,6 @@ def get_comb_group(self, fitstbl): Returns: `astropy.table.Table`_: modified fitstbl. """ - return fitstbl def pypeit_file_keys(self): From 76a59721513180382514e2204dfe58e46aaf3592 Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 7 Mar 2023 20:25:58 +0000 Subject: [PATCH 056/308] docs --- doc/coadd3d.rst | 36 ++++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) diff --git a/doc/coadd3d.rst b/doc/coadd3d.rst index 05cfbd5a54..c78c24eb3a 100644 --- a/doc/coadd3d.rst +++ b/doc/coadd3d.rst @@ -96,6 +96,42 @@ Then run the script: pypeit_coadd_datacube BB1245p4238.coadd3d -o +Combination options +=================== + +PypeIt currently supports two different methods to convert an spec2d frame into a datacube; +these options are called ``subsample`` (default) and ``NGP`` (which is short for, nearest grid point), +and can be set using the following keyword arguments: + +.. code-block:: ini + + [reduce] + [[cube]] + method = ngp + +The default option is called ``subsample``, which subsamples each pixel in the spec2d frame +and assigns each subpixel into a voxel of the datacube. Flux is conserved, but voxels are +correlated, and the error spectrum does not account for covariance between adjacent voxels. +If you would like to change the subsampling factor from the default value (10), you can set +the ``subsample`` keyword as follows: + +.. code-block:: ini + + [reduce] + [[cube]] + method = subsample + subsample = 5 + +The total number of subpixels generated for each detector pixel on the spec2d frame is +subsample^2. The default option (subsample=10) divides each spec2d pixel into 100 subpixels +during datacube creation. As an alternative, you can convert the spec2d frames into a datacube +which the ``NGP`` method. This algorithm is effectively a 3D histogram. This approach is faster +than ``subsample``, flux is conserved, and voxels are not correlated. However, this option suffers +the same downsides as any histogram; the choice of bin sizes can change how the datacube appears. +This algorithm takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel +in the datacube. Depending on the binning used, some voxels may be empty (zero flux) while a +neighbouring voxel might contain the flux from two spec2d pixels. + Flux calibration ================ From b08ba8dc881db03bb977371eb5efb3c9d3a6690d Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 7 Mar 2023 20:30:45 +0000 Subject: [PATCH 057/308] PR comments --- pypeit/alignframe.py | 25 +- pypeit/core/datacube.py | 494 ++++++++++++++++++---------------------- pypeit/par/pypeitpar.py | 19 +- 3 files changed, 254 insertions(+), 284 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 2353b71832..3473ad3d1e 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -332,19 +332,29 @@ def __init__(self, traces, locations, tilts): Parameters ---------- traces : `numpy.ndarray` - The alignments (traces) of the slits. This allows different slices - to be aligned correctly. Ideally, this variable will be assigned the + 3D array containing the alignments (traces) of the slits. This allows different + slices to be aligned correctly. Ideally, this variable will be assigned the value of alignments.traces. However, this can also be assigned the left and right slit edges: - traces = np.append(left.reshape((left.shape[0],1,left.shape[1])), - right.reshape((left.shape[0],1,left.shape[1])), axis=1) - In this case, locations=np.array([0,1]) + .. code-block:: python + + traces = np.append(left.reshape((left.shape[0], 1, left.shape[1])), + right.reshape((left.shape[0], 1, left.shape[1])), axis=1) + # In this case, you should set the locations argument to + locations=np.array([0,1]) locations : `numpy.ndarray`_, list locations along the slit of the alignment traces. Must be a 1D array of the same length as alignments.traces.shape[1] tilts : `numpy.ndarray` Spectral tilts. """ + # Perform some checks + msgs.work("Spatial flexure is not currently implemented for the astrometric alignment") + if type(locations) is list: + locations = np.array(locations) + if locations.size != traces.shape[1]: + msgs.error("The size of locations must be the same as traces.shape[1]") + # Store the relevant input self.traces = traces self.locations = locations self.tilts = tilts @@ -401,7 +411,7 @@ def build_splines(self): def transform(self, slitnum, spatpix, specpix): """ Convenience function to return the spatial offset in pixels - from the spatial centre of the slit. + from the spatial center of the slit. Parameters ---------- @@ -414,6 +424,7 @@ def transform(self, slitnum, spatpix, specpix): Returns ------- - tuple : There are + spl_transform : `numpy.ndarray` + The spatial offset (measured in pixels) from the center of the slit. """ return self.spl_transform[slitnum]((specpix, spatpix)) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index c988301f35..66c46a0319 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -170,40 +170,6 @@ def to_file(self, ofile, primary_hdr=None, hdr=None, **kwargs): super(DataCube, self).to_file(ofile, primary_hdr=primary_hdr, hdr=hdr, **kwargs) -def get_alignments(traces, locations, tilts): - """Generate an RA and DEC image for every pixel in the frame - NOTE: This function is currently only used for IFU reductions. - - Parameters - ---------- - traces : `numpy.ndarray` - The alignments (traces) of the slits. This allows different slices - to be aligned correctly. Ideally, this variable will be assigned the - value of alignments.traces. However, this can also be assigned the - left and right slit edges: - traces = np.append(left.reshape((left.shape[0],1,left.shape[1])), - right.reshape((left.shape[0],1,left.shape[1])), axis=1) - In this case, locations=np.array([0,1]) - tilts : `numpy.ndarray` - Spectral tilts. - locations : `numpy.ndarray`_, list - locations along the slit of the alignment traces. Must - be a 1D array of the same length as alignments.traces.shape[1] - - Returns - ------- - `pypeit.alignframe.AlignmentSplines` : An instance of the AlignmentSplines class that allows - one to build and transform between detector pixel coordinates and WCS pixel coordinates. - """ - msgs.work("Spatial flexure is not currently implemented for the astrometric alignment") - if type(locations) is list: - locations = np.array(locations) - if locations.size != traces.shape[1]: - msgs.error("The size of locations must be the same as traces.shape[1]") - # Calculate and return the astrometric transform - return alignframe.AlignmentSplines(traces, locations, tilts) - - def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pressure, temperature, rel_humidity): """ Generates a fitting function to calculate the offset due to differential atmospheric refraction @@ -1029,214 +995,215 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, gpm, - grid_nspat=5, grid_specsep=20, - overwrite=False, output_wcs=None, blaze_wave=None, blaze_spec=None, fluxcal=False, - sensfunc=None, specname="PYP_SPEC", debug=False): - """ - Save a datacube using the resample algorithm. - - This function takes the fully calibrated input data, and resamples - all slices onto a regular 3D grid, while conserving flux. Note that - the final datacube has correlations between voxels, and this covariance - information is not saved. - - Args: - outfile (`str`): - Filename to be used to save the datacube - frame_wcs (`astropy.wcs.wcs.WCS`_): - World coordinate system for this frame. - slits (:class:`pypeit.slittrace.SlitTraceSet`_) - Information stored about the slits - fluximg (`numpy.ndarray`_): - Surface brightness of each pixel in the frame (units = erg/s/cm^2/A/arcsec^2) - ivarimg (`numpy.ndarray`_): - Inverse variance of each pixel in the frame - raimg (`numpy.ndarray`_): - Right ascension of each pixel in the frame (units = decimal degrees) - decimg (`numpy.ndarray`_): - Declination of each pixel in the frame (units = decimal degrees) - waveimg (`numpy.ndarray`_): - Wavelength of each pixel in the frame (units = Angstroms) - slitimg (`numpy.ndarray`_): - Slit image. -1 is not on a sli, and all other - pixels are labelled with their spatial IDs. - gpm (`numpy.ndarray`_): - Good pixel mask (bool). True = good pixel - grid_nspat (int): - Number of grid points in the spatial direction when evaluating the - voxel geometry in detector coordinates. This should be an odd number - grid_specsep (int): - Number of pixels between each grid point in the spectral direction - when evaluating the voxel geometry in detector coordinates - overwrite (bool, optional): - If the output file exists, it will be overwritten if this parameter is True. - output_wcs (`astropy.wcs.wcs.WCS`_, optional): - World coordinate system for the output datacube. If None, frame_wcs will be used. - blaze_wave (`numpy.ndarray`_, optional): - Wavelength array of the spectral blaze function - blaze_spec (`numpy.ndarray`_, optional): - Spectral blaze function - fluxcal (bool, optional): - Are the data flux calibrated? - sensfunc (`numpy.ndarray`_, None, optional): - Sensitivity function that has been applied to the datacube - specname (str, optional): - Name of the spectrograph - debug (bool, optional): - Debug the code by writing out a residuals cube? - """ - # Set the output_wcs if it's not already set - if output_wcs is None: - output_wcs = frame_wcs - # Check that grid_nspat is an odd number - if grid_nspat%2 == 0: - msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") - grid_nspat += 1 - debug = False - # Get the grid spacing along the spatial direction - frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) - out_cd_spat = np.sqrt(output_wcs.wcs.cd[1, 1] ** 2 + output_wcs.wcs.cd[0, 1] ** 2) - slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) - nvox_spat = int(np.ceil(slitlength*frm_cd_spat/out_cd_spat)) - crd_vox_spat = out_cd_spat * (np.arange(nvox_spat+1) - (nvox_spat+1)// 2) # +1 to get bin edges - # Get the grid spacing along the spectral direction - out_cr_wave = output_wcs.wcs.crval[2] - out_cd_wave = output_wcs.wcs.cd[2, 2] - nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) - crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges - vox_shape = (nvox_wave+1, nvox_spat+1) - - # Detector spectal/spatial pixels and number of slices - nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size - - # Generate the output datacube - datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) - varcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) - - # Transform the voxel geometry to detector pixels - grid_nspec = 1 + nspec // grid_specsep - xgrid = np.zeros((grid_nspec, grid_nspat), dtype=int) - ygridt = np.zeros(grid_nspec, dtype=int) - ygridt[-1] = nspec - 1 - ygridt[1:-1] = (nspec % grid_specsep + 2 * grid_specsep) // 2 + np.arange(grid_nspec - 2) * grid_specsep - ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) - ra0, dec0 = np.zeros(nslice), np.zeros(nslice) - offsimg = np.zeros_like(waveimg) - varimgsq = utils.inverse(ivarimg ** 2) - for sl, spat_id in enumerate(slits.spat_id): - msgs.info(f"Calculating voxel geometry for slit {spat_id}") - # Calculate RA and Dec of central traces - wsl = np.where(slitimg == spat_id) - this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] - _, spat_posn, _ = frame_wcs.wcs_world2pix(this_ra, this_dec, this_wave*1.0E-10, 0) - asrt = np.argsort(spat_posn) - ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) - dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) - # Generate the offsets - cosdec = np.cos(dec0[sl] * np.pi / 180.0) - diff_ra, diff_dec = (this_ra - ra0[sl]) * cosdec, this_dec - dec0[sl] - msgs.bug("There is sometimes a sign error that needs to be resolved here...") - msgs.error("Use another algorithm for the time being...") - if np.max(diff_ra)-np.min(diff_ra) > np.max(diff_dec)-np.min(diff_dec): - sgn = np.sign(diff_ra) - else: - sgn = np.sign(diff_dec) - offsimg[wsl] = -sgn * np.sqrt(diff_ra**2 + diff_dec**2) - # Update the xgrid values for this slice - for yy in range(grid_nspec): - wsl = np.where(slitimg == spat_id) - allind = wsl[1][np.where(wsl[0] == ygridt[yy])] - xgrid[yy, 0] = np.min(allind) - xgrid[yy, -1] = np.max(allind) - numpix = xgrid[yy, -1] - xgrid[yy, 0] - sep = numpix // (grid_nspat - 1) - xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(grid_nspat - 2) * sep - # Extract offset + wavelength information and estimate transform - grid_coord = (ygrid.flatten(), xgrid.flatten()) - grid_offs = offsimg[grid_coord] - grid_wave = waveimg[grid_coord] - src = np.column_stack((grid_wave, grid_offs)) - dst = np.column_stack(grid_coord).astype(float) - # Transform the voxel coordinates to detector coordinates - evalpos = np.column_stack((crd_vox_spec[:,np.newaxis].repeat(crd_vox_spat.size, axis=1).flatten(), - crd_vox_spat[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) - # tform = LinearNDInterpolator(src, dst, rescale=True) - # crd_det_tmp = tform(evalpos) - - src_off = np.min(src, axis=0) - src_scl = np.max(src-src_off, axis=0) - dst_off = np.min(dst, axis=0) - dst_scl = np.max(dst-dst_off, axis=0) - tform = RBFInterpolator((src-src_off)/src_scl, (dst-dst_off)/dst_scl, smoothing=0.01) - crd_det = dst_off + dst_scl * tform((evalpos-src_off)/src_scl) - if debug: - plt.plot(crd_det[:, 0], crd_det[:, 1], 'rx') - #plt.plot(crd_det_tmp[:, 0], crd_det_tmp[:, 1], 'bx') - plt.plot(np.arange(slits.left_init.shape[0]), slits.left_init[:, 0], 'k-') - plt.plot(np.arange(slits.right_init.shape[0]), slits.right_init[:, 0], 'k-') - plt.show() - - # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) - # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. - # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. - # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) - # Use the WCS (which contains the astrometric transform) to go from world to pix - # i.e. need to invert this: - # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) - # This gives us the x,y detector positions of the voxel geometry - from shapely.geometry import Polygon, box as shapelyBox - from shapely.strtree import STRtree - - crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) - # Generate a list of all detector pixels in this slice - detpix_polys = [] - pix_spec, pix_spat = np.where(slitimg == spat_id) - for ss in range(pix_spat.size): - detpix_polys.append(shapely.geometry.box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) - # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels - detgeom = shapely.strtree.STRtree(detpix_polys) - # Loop through all voxels for this slice and calculate the overlapping area - for wv in range(nvox_wave): - for sp in range(nvox_spat): - # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) - voxel_geom = shapely.geometry.Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), - (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), - (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), - (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), - (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) - # Find overlapping detector pixels - result = detgeom.query(voxel_geom) - # Sum all overlapping flux-weighted areas - this_flx = 0 - this_var = 0 - this_area = 0 - for pp in range(len(result)): - area = voxel_geom.intersection(result[pp]).area - pix_spat = int(min(result[pp].exterior.coords[0][0], result[pp].exterior.coords[2][0])) - pix_spec = int(min(result[pp].exterior.coords[0][1], result[pp].exterior.coords[2][1])) - if ivarimg[pix_spec, pix_spat] != 0.0: - this_flx += area * fluximg[pix_spec, pix_spat] - this_var += area**2 * varimgsq[pix_spec, pix_spat] - this_area += area - # Fill in the datacube - this_area = 1 if this_area == 0 else this_area - datcube[sl, sp, wv] = this_flx / this_area - varcube[sl, sp, wv] = this_var / this_area**2 - - # Generate a header - hdr = output_wcs.to_header() - - # Add the unit of flux to the header - if fluxcal: - hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") - else: - hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") - - # Save the final datacube - msgs.info("Saving datacube as: {0:s}".format(outfile)) - final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) - final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) +# def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, gpm, +# grid_nspat=5, grid_specsep=20, +# overwrite=False, output_wcs=None, blaze_wave=None, blaze_spec=None, fluxcal=False, +# sensfunc=None, specname=None, debug=False): +# """ +# Save a datacube using the resample algorithm. +# +# This function takes the fully calibrated input data, and resamples +# all slices onto a regular 3D grid, while conserving flux. Note that +# the final datacube has correlations between voxels, and this covariance +# information is not saved. +# +# Args: +# outfile (`str`): +# Filename to be used to save the datacube +# frame_wcs (`astropy.wcs.wcs.WCS`_): +# World coordinate system for this frame. +# slits (:class:`pypeit.slittrace.SlitTraceSet`_) +# Information stored about the slits +# fluximg (`numpy.ndarray`_): +# Surface brightness of each pixel in the frame (units = erg/s/cm^2/A/arcsec^2) +# ivarimg (`numpy.ndarray`_): +# Inverse variance of each pixel in the frame +# raimg (`numpy.ndarray`_): +# Right ascension of each pixel in the frame (units = decimal degrees) +# decimg (`numpy.ndarray`_): +# Declination of each pixel in the frame (units = decimal degrees) +# waveimg (`numpy.ndarray`_): +# Wavelength of each pixel in the frame (units = Angstroms) +# slitimg (`numpy.ndarray`_): +# Slit image. -1 is not on a slit, and all other +# pixels are labelled with their spatial IDs. +# gpm (`numpy.ndarray`_): +# Good pixel mask (bool). True = good pixel +# grid_nspat (int, optional): +# Number of grid points in the spatial direction when evaluating the +# voxel geometry in detector coordinates. This should be an odd number +# grid_specsep (int, optional): +# Number of pixels between each grid point in the spectral direction +# when evaluating the voxel geometry in detector coordinates +# overwrite (bool, optional): +# If the output file exists, it will be overwritten if this parameter is True. +# output_wcs (`astropy.wcs.wcs.WCS`_, optional): +# World coordinate system for the output datacube. If None, frame_wcs will be used. +# blaze_wave (`numpy.ndarray`_, optional): +# Wavelength array of the spectral blaze function +# blaze_spec (`numpy.ndarray`_, optional): +# Spectral blaze function +# fluxcal (bool, optional): +# Are the data flux calibrated? If True, the units are: erg/s/cm^2/Angstrom/arcsec^2 +# multiplied by the PYPEIT_FLUX_SCALE. Otherwise, the units are: counts/s/Angstrom/arcsec^2") +# sensfunc (`numpy.ndarray`_, None, optional): +# Sensitivity function that has been applied to the datacube +# specname (str, None, optional): +# Name of the spectrograph +# debug (bool, optional): +# Debug the code by writing out a residuals cube? +# """ +# # Set the output_wcs if it's not already set +# if output_wcs is None: +# output_wcs = frame_wcs +# # Check that grid_nspat is an odd number +# if grid_nspat % 2 == 0: +# msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") +# grid_nspat += 1 +# debug = False +# # Get the grid spacing along the spatial direction +# frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) +# out_cd_spat = np.sqrt(output_wcs.wcs.cd[1, 1] ** 2 + output_wcs.wcs.cd[0, 1] ** 2) +# slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) +# nvox_spat = int(np.ceil(slitlength*frm_cd_spat/out_cd_spat)) +# crd_vox_spat = out_cd_spat * (np.arange(nvox_spat+1) - (nvox_spat+1)// 2) # +1 to get bin edges +# # Get the grid spacing along the spectral direction +# out_cr_wave = output_wcs.wcs.crval[2] +# out_cd_wave = output_wcs.wcs.cd[2, 2] +# nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) +# crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges +# vox_shape = (nvox_wave+1, nvox_spat+1) +# +# # Detector spectal/spatial pixels and number of slices +# nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size +# +# # Generate the output datacube +# datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) +# varcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) +# +# # Transform the voxel geometry to detector pixels +# grid_nspec = 1 + nspec // grid_specsep +# xgrid = np.zeros((grid_nspec, grid_nspat), dtype=int) +# ygridt = np.zeros(grid_nspec, dtype=int) +# ygridt[-1] = nspec - 1 +# ygridt[1:-1] = (nspec % grid_specsep + 2 * grid_specsep) // 2 + np.arange(grid_nspec - 2) * grid_specsep +# ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) +# ra0, dec0 = np.zeros(nslice), np.zeros(nslice) +# offsimg = np.zeros_like(waveimg) +# varimgsq = utils.inverse(ivarimg ** 2) +# for sl, spat_id in enumerate(slits.spat_id): +# msgs.info(f"Calculating voxel geometry for slit {spat_id}") +# # Calculate RA and Dec of central traces +# wsl = np.where(slitimg == spat_id) +# this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] +# _, spat_posn, _ = frame_wcs.wcs_world2pix(this_ra, this_dec, this_wave*1.0E-10, 0) +# asrt = np.argsort(spat_posn) +# ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) +# dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) +# # Generate the offsets +# cosdec = np.cos(dec0[sl] * np.pi / 180.0) +# diff_ra, diff_dec = (this_ra - ra0[sl]) * cosdec, this_dec - dec0[sl] +# msgs.bug("There is sometimes a sign error that needs to be resolved here...") +# msgs.error("Use another algorithm for the time being...") +# if np.max(diff_ra)-np.min(diff_ra) > np.max(diff_dec)-np.min(diff_dec): +# sgn = np.sign(diff_ra) +# else: +# sgn = np.sign(diff_dec) +# offsimg[wsl] = -sgn * np.sqrt(diff_ra**2 + diff_dec**2) +# # Update the xgrid values for this slice +# for yy in range(grid_nspec): +# wsl = np.where(slitimg == spat_id) +# allind = wsl[1][np.where(wsl[0] == ygridt[yy])] +# xgrid[yy, 0] = np.min(allind) +# xgrid[yy, -1] = np.max(allind) +# numpix = xgrid[yy, -1] - xgrid[yy, 0] +# sep = numpix // (grid_nspat - 1) +# xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(grid_nspat - 2) * sep +# # Extract offset + wavelength information and estimate transform +# grid_coord = (ygrid.flatten(), xgrid.flatten()) +# grid_offs = offsimg[grid_coord] +# grid_wave = waveimg[grid_coord] +# src = np.column_stack((grid_wave, grid_offs)) +# dst = np.column_stack(grid_coord).astype(float) +# # Transform the voxel coordinates to detector coordinates +# evalpos = np.column_stack((crd_vox_spec[:,np.newaxis].repeat(crd_vox_spat.size, axis=1).flatten(), +# crd_vox_spat[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) +# # tform = LinearNDInterpolator(src, dst, rescale=True) +# # crd_det_tmp = tform(evalpos) +# +# src_off = np.min(src, axis=0) +# src_scl = np.max(src-src_off, axis=0) +# dst_off = np.min(dst, axis=0) +# dst_scl = np.max(dst-dst_off, axis=0) +# tform = RBFInterpolator((src-src_off)/src_scl, (dst-dst_off)/dst_scl, smoothing=0.01) +# crd_det = dst_off + dst_scl * tform((evalpos-src_off)/src_scl) +# if debug: +# plt.plot(crd_det[:, 0], crd_det[:, 1], 'rx') +# #plt.plot(crd_det_tmp[:, 0], crd_det_tmp[:, 1], 'bx') +# plt.plot(np.arange(slits.left_init.shape[0]), slits.left_init[:, 0], 'k-') +# plt.plot(np.arange(slits.right_init.shape[0]), slits.right_init[:, 0], 'k-') +# plt.show() +# +# # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) +# # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. +# # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. +# # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) +# # Use the WCS (which contains the astrometric transform) to go from world to pix +# # i.e. need to invert this: +# # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) +# # This gives us the x,y detector positions of the voxel geometry +# from shapely.geometry import Polygon, box as shapelyBox +# from shapely.strtree import STRtree +# +# crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) +# # Generate a list of all detector pixels in this slice +# detpix_polys = [] +# pix_spec, pix_spat = np.where(slitimg == spat_id) +# for ss in range(pix_spat.size): +# detpix_polys.append(shapely.geometry.box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) +# # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels +# detgeom = shapely.strtree.STRtree(detpix_polys) +# # Loop through all voxels for this slice and calculate the overlapping area +# for wv in range(nvox_wave): +# for sp in range(nvox_spat): +# # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) +# voxel_geom = shapely.geometry.Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), +# (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), +# (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), +# (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), +# (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) +# # Find overlapping detector pixels +# result = detgeom.query(voxel_geom) +# # Sum all overlapping flux-weighted areas +# this_flx = 0 +# this_var = 0 +# this_area = 0 +# for pp in range(len(result)): +# area = voxel_geom.intersection(result[pp]).area +# pix_spat = int(min(result[pp].exterior.coords[0][0], result[pp].exterior.coords[2][0])) +# pix_spec = int(min(result[pp].exterior.coords[0][1], result[pp].exterior.coords[2][1])) +# if ivarimg[pix_spec, pix_spat] != 0.0: +# this_flx += area * fluximg[pix_spec, pix_spat] +# this_var += area**2 * varimgsq[pix_spec, pix_spat] +# this_area += area +# # Fill in the datacube +# this_area = 1 if this_area == 0 else this_area +# datcube[sl, sp, wv] = this_flx / this_area +# varcube[sl, sp, wv] = this_var / this_area**2 +# +# # Generate a header +# hdr = output_wcs.to_header() +# +# # Add the unit of flux to the header +# if fluxcal: +# hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") +# else: +# hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") +# +# # Save the final datacube +# msgs.info("Saving datacube as: {0:s}".format(outfile)) +# final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) +# final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, @@ -1284,7 +1251,8 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a blaze_spec (`numpy.ndarray`_, optional): Spectral blaze function fluxcal (bool, optional): - Are the data flux calibrated? + Are the data flux calibrated? If True, the units are: erg/s/cm^2/Angstrom/arcsec^2 + multiplied by the PYPEIT_FLUX_SCALE. Otherwise, the units are: counts/s/Angstrom/arcsec^2") sensfunc (`numpy.ndarray`_, None, optional): Sensitivity function that has been applied to the datacube specname (str, optional): @@ -1507,15 +1475,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): method = cubepar['method'].lower() # Determine what method is requested - if method == "resample": - if shapely is None: - msgs.error("To use the 'resample' algorithm to make your datacube, you need to install shapely.") - else: - msgs.info("Adopting the 'resample' algorithm to generate the datacube.") - if combine: - msgs.warn("Cannot combine cubes with the 'resample' algorithm - generating individual datacubes.") - combine = False - elif method == "subsample": + if method == "subsample": msgs.info("Adopting the subsample algorithm to generate the datacube.") elif method == "ngp": msgs.info("Adopting the nearest grid point (NGP) algorithm to generate the datacube.") @@ -1804,7 +1764,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): traces = alignments.traces # Generate an RA/DEC image msgs.info("Generating RA/DEC image") - alignSplines = get_alignments(traces, locations, tilts) + alignSplines = alignframe.AlignmentSplines(traces, locations, tilts) raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, initial=True, flexure=flexure) @@ -1918,11 +1878,11 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): else: outfile = get_output_filename(fil, cubepar['output_filename'], combine, ff+1) # Generate individual whitelight images of each spec2d file + # TODO :: May be better to generate this after making the cube? if cubepar['save_whitelight']: - if method == 'resample': - # TODO :: Implement this feature... May be better to generate this after making the cube? - msgs.warn("Whitelight images are not implemented with the 'resample' algorithm.") - msgs.info("Generating a whitelight image with the NGP algorithm.") + # if method == 'resample': + # msgs.warn("Whitelight images are not implemented with the 'resample' algorithm.") + # msgs.info("Generating a whitelight image with the NGP algorithm.") out_whitelight = os.path.splitext(outfile)[0] + "_whitelight.fits" whitelight_img, _, wlwcs = make_whitelight_frompixels(raimg[onslit_gpm], decimg[onslit_gpm], wave_ext, flux_sav[resrt], np.ones(numpix), np.zeros(numpix), dspat) @@ -1949,16 +1909,16 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, alignSplines, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, fluxcal=fluxcal, specname=specname, subsample=subsample) - elif method == 'resample': - fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) - fluximg[onslit_gpm] = flux_sav[resrt] - ivarimg[onslit_gpm] = ivar_sav[resrt] - # Now generate the cube - generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitid_img_init, onslit_gpm, - overwrite=overwrite, output_wcs=output_wcs, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname) - else: - msgs.error(f"The following method is not yet implemented: {method}") + # elif method == 'resample': + # fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) + # fluximg[onslit_gpm] = flux_sav[resrt] + # ivarimg[onslit_gpm] = ivar_sav[resrt] + # # Now generate the cube + # generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitid_img_init, onslit_gpm, + # overwrite=overwrite, output_wcs=output_wcs, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + # fluxcal=fluxcal, specname=specname) + # else: + # msgs.error(f"The following method is not yet implemented: {method}") continue # Store the information diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index a376a2dfc0..82c6a628ce 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1390,16 +1390,15 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f defaults['method'] = "subsample" dtypes['method'] = str - descr['method'] = 'What method should be used to generate the datacube. There are currently three options:' \ + descr['method'] = 'What method should be used to generate the datacube. There are currently two options:' \ '(1) "subsample" (default) - this algorithm subsamples each pixel in the spec2d frames ' \ - 'and assigns each subpixel into a voxel of the datacube. Note that the resample algorithm ' \ - 'exactly maps pixels to voxels, the subsample algorithm is much faster and performs just ' \ - 'as well. Flux is conserved, but voxels are correlated, and the error spectrum does not ' \ - 'account for covariance between adjacent voxels. ' \ - '(2) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ - 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ - 'for covariance between neighbouring pixels. ' \ - '(3) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ + 'and assigns each subpixel into a voxel of the datacube. Flux is conserved, but voxels ' \ + 'are correlated, and the error spectrum does not account for covariance between adjacent ' \ + 'voxels. ' \ + # '(2) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ + # 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ + # 'for covariance between neighbouring pixels. ' \ + '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ 'conserved, voxels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ 'takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the ' \ @@ -1511,7 +1510,7 @@ def from_dict(cls, cfg): return cls(**kwargs) def validate(self): - allowed_methods = ["subsample", "resample", "NGP"] + allowed_methods = ["subsample", "NGP"]#, "resample" if self.data['method'] not in allowed_methods: raise ValueError("The 'method' must be one of:\n"+", ".join(allowed_methods)) From 3ade4f6a0b0e72e67c7c4d4685686b4a686f3a86 Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 7 Mar 2023 20:40:04 +0000 Subject: [PATCH 058/308] fix comment --- pypeit/core/datacube.py | 8 ++++---- pypeit/par/pypeitpar.py | 6 +++--- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 66c46a0319..09411fa3f4 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -25,10 +25,10 @@ from pypeit.spectrographs.util import load_spectrograph # Shapely is needed if using the resample algorithm -try: - import shapely -except ImportError: - shapely = None +# try: +# import shapely +# except ImportError: +# shapely = None from IPython import embed diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 82c6a628ce..c311657839 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1395,15 +1395,15 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f 'and assigns each subpixel into a voxel of the datacube. Flux is conserved, but voxels ' \ 'are correlated, and the error spectrum does not account for covariance between adjacent ' \ 'voxels. ' \ - # '(2) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ - # 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ - # 'for covariance between neighbouring pixels. ' \ '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ 'conserved, voxels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ 'takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the ' \ 'datacube. Depending on the binning used, some voxels may be empty (zero flux) while a ' \ 'neighbouring voxel might contain the flux from two spec2d pixels.' + # '(3) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ + # 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ + # 'for covariance between neighbouring pixels. ' \ defaults['subsample'] = 10 dtypes['subsample'] = int From 22516b8f065c2afb929deaaad0d30bba7fbaeca5 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Wed, 8 Mar 2023 09:21:28 +0000 Subject: [PATCH 059/308] darkcurr --- pypeit/spectrographs/gtc_osiris.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/spectrographs/gtc_osiris.py b/pypeit/spectrographs/gtc_osiris.py index 4d3faa594a..bf47b242ac 100644 --- a/pypeit/spectrographs/gtc_osiris.py +++ b/pypeit/spectrographs/gtc_osiris.py @@ -65,7 +65,7 @@ def get_detector_par(self, det, hdu=None): specflip = True, spatflip = False, platescale = 0.125, # arcsec per pixel - darkcurr = 0.0, + darkcurr = 5.0, saturation = 65535., # ADU nonlinear = 0.95, mincounts = 0, From 72a6151bca93d68d4342fe657052c0825368b8a9 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 8 Mar 2023 14:05:01 -0800 Subject: [PATCH 060/308] debugging --- pypeit/bitmask.py | 7 ++---- pypeit/calibrations.py | 7 +++--- pypeit/metadata.py | 11 +++++++++ pypeit/pypeit.py | 52 +++++++++++++++++++++++------------------- 4 files changed, 46 insertions(+), 31 deletions(-) diff --git a/pypeit/bitmask.py b/pypeit/bitmask.py index 49deef9948..40cb4c95ba 100644 --- a/pypeit/bitmask.py +++ b/pypeit/bitmask.py @@ -104,14 +104,11 @@ def _prep_flags(self, flag): # NULL flags not allowed if numpy.any([f == 'NULL' for f in _flag]): raise ValueError('Flag name NULL is not allowed.') - # Flags should be among the bitmask keys + # Flags should be among the bitmask keys, and they need not be strings. indx = numpy.array([f not in self.keys() for f in _flag]) if numpy.any(indx): raise ValueError('The following bit names are not recognized: {0}'.format( - ', '.join(_flag[indx]))) -# # Flags should be strings -# if numpy.any([ not isinstance(f, str) for f in _flag ]): -# raise TypeError('Provided bit names must be strings!') + ', '.join(_flag[indx].astype(str)))) return _flag @staticmethod diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index fbe6395b76..98406f9f9d 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -998,13 +998,14 @@ def check_for_calibs(par, fitstbl, raise_error=True, cut_cfg=None): # Frame indices frame_indx = np.arange(len(fitstbl)) - for i in range(fitstbl.n_calib_groups): - in_grp = fitstbl.find_calib_group(i) + for calib_ID in fitstbl.calib_groups: + in_grp = fitstbl.find_calib_group(calib_ID) + if not np.any(is_science & in_grp & cut_cfg): + continue grp_science = frame_indx[is_science & in_grp & cut_cfg] u_combid = np.unique(fitstbl['comb_id'][grp_science]) for j, comb_id in enumerate(u_combid): frames = np.where(fitstbl['comb_id'] == comb_id)[0] - calib_ID = int(fitstbl['calib'][frames[0]]) # Arc, tilt, science for ftype in ['arc', 'tilt', 'science', 'trace']: rows = fitstbl.find_frames(ftype, calib_ID=calib_ID, index=True) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 0f282d05f6..9583a3d487 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -943,6 +943,12 @@ def _set_calib_group_bits(self): Set the calibration group bit based on the string values of the 'calib' column. """ + # NOTE: This is a hack to ensure the type of the *elements* of the calib + # column are all strings, but that the type of the column remains as + # "object". I'm calling this a hack because doing this is easier than + # trying to track down everywhere calib is changed to values that may or + # may not be integers instead of strings. + self['calib'] = np.array([str(c) for c in self['calib']], dtype=object) # Collect and expand any lists group_names = np.unique(np.concatenate( [s.split(',') for s in self['calib'] if s not in ['all', 'None']])) @@ -994,6 +1000,11 @@ def n_calib_groups(self): """Return the number of calibration groups.""" return None if self.calib_bitmask is None else self.calib_bitmask.nbits + @property + def calib_groups(self): + """Return the calibration group identifiers.""" + return None if self.calib_bitmask is None else self.calib_bitmask.keys() + def set_calibration_groups(self, global_frames=None, default=False, force=False): """ Group calibration frames into sets. diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 22006f0d5b..87201bab7c 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -408,10 +408,10 @@ def reduce_all(self): # Standard Star(s) Loop # Iterate over each calibration group and reduce the standards - for i in range(self.fitstbl.n_calib_groups): + for calib_ID in self.fitstbl.calib_groups: # Find all the frames in this calibration group - in_grp = self.fitstbl.find_calib_group(i) + in_grp = self.fitstbl.find_calib_group(calib_ID) if not np.any(is_standard & in_grp): continue @@ -419,20 +419,22 @@ def reduce_all(self): # Find the indices of the standard frames in this calibration group: grp_standards = frame_indx[is_standard & in_grp] - msgs.info(f'Found {len(grp_standards)} standard frames in calibration group {i+1}.') + msgs.info(f'Found {len(grp_standards)} standard frames in calibration group ' + f'{calib_ID}.') # Reduce all the standard frames, loop on unique comb_id u_combid_std = np.unique(self.fitstbl['comb_id'][grp_standards]) for j, comb_id in enumerate(u_combid_std): frames = np.where(self.fitstbl['comb_id'] == comb_id)[0] - # Find all frames whose comb_id matches the current frames bkg_id (same as for science frames). - bg_frames = np.where((self.fitstbl['comb_id'] == self.fitstbl['bkg_id'][frames][0]) & - (self.fitstbl['comb_id'] >= 0))[0] + # Find all frames whose comb_id matches the current frames + # bkg_id (same as for science frames). + bg_frames = np.where((self.fitstbl['comb_id'] == self.fitstbl['bkg_id'][frames][0]) + & (self.fitstbl['comb_id'] >= 0))[0] if not self.outfile_exists(frames[0]) or self.overwrite: - # Build history to document what contributd to the reduced + # Build history to document what contributed to the reduced # exposure history = History(self.fitstbl.frame_paths(frames[0])) - history.add_reduce(i, self.fitstbl, frames, bg_frames) + history.add_reduce(calib_ID, self.fitstbl, frames, bg_frames) std_spec2d, std_sobjs = self.reduce_exposure(frames, bg_frames=bg_frames) # TODO come up with sensible naming convention for save_exposure for combined files @@ -443,20 +445,21 @@ def reduce_all(self): # Science Frame(s) Loop # Iterate over each calibration group again and reduce the science frames - for i in range(self.fitstbl.n_calib_groups): + for calib_ID in self.fitstbl.calib_groups: # Find all the frames in this calibration group - in_grp = self.fitstbl.find_calib_group(i) + in_grp = self.fitstbl.find_calib_group(calib_ID) if not np.any(is_science & in_grp): continue # Find the indices of the science frames in this calibration group: grp_science = frame_indx[is_science & in_grp] - msgs.info(f'Found {len(grp_science)} science frames in calibration group {i+1}.') + msgs.info(f'Found {len(grp_science)} science frames in calibration group {calib_ID}.') # Associate standards (previously reduced above) for this setup std_outfile = self.get_std_outfile(frame_indx[is_standard]) - # Reduce all the science frames; keep the basenames of the science frames for use in flux calibration + # Reduce all the science frames; keep the basenames of the science + # frames for use in flux calibration science_basename = [None]*len(grp_science) # Loop on unique comb_id u_combid = np.unique(self.fitstbl['comb_id'][grp_science]) @@ -464,35 +467,38 @@ def reduce_all(self): for j, comb_id in enumerate(u_combid): frames = np.where(self.fitstbl['comb_id'] == comb_id)[0] # Find all frames whose comb_id matches the current frames bkg_id. - bg_frames = np.where((self.fitstbl['comb_id'] == self.fitstbl['bkg_id'][frames][0]) & - (self.fitstbl['comb_id'] >= 0))[0] - # JFH changed the syntax below to that above, which allows frames to be used more than once - # as a background image. The syntax below would require that we could somehow list multiple - # numbers for the bkg_id which is impossible without a comma separated list + bg_frames = np.where((self.fitstbl['comb_id'] == self.fitstbl['bkg_id'][frames][0]) + & (self.fitstbl['comb_id'] >= 0))[0] + # JFH changed the syntax below to that above, which allows + # frames to be used more than once as a background image. The + # syntax below would require that we could somehow list multiple + # numbers for the bkg_id which is impossible without a comma + # separated list # bg_frames = np.where(self.fitstbl['bkg_id'] == comb_id)[0] if not self.outfile_exists(frames[0]) or self.overwrite: # Build history to document what contributd to the reduced # exposure history = History(self.fitstbl.frame_paths(frames[0])) - history.add_reduce(i, self.fitstbl, frames, bg_frames) + history.add_reduce(calib_ID, self.fitstbl, frames, bg_frames) # TODO -- Should we reset/regenerate self.slits.mask for a new exposure sci_spec2d, sci_sobjs = self.reduce_exposure(frames, bg_frames=bg_frames, - std_outfile=std_outfile) + std_outfile=std_outfile) science_basename[j] = self.basename - # TODO come up with sensible naming convention for save_exposure for combined files + # TODO: come up with sensible naming convention for + # save_exposure for combined files if len(sci_spec2d.detectors) > 0: self.save_exposure(frames[0], sci_spec2d, sci_sobjs, self.basename, history) else: msgs.warn('No spec2d and spec1d saved to file because the ' 'calibration/reduction was not successful for all the detectors') else: - msgs.warn('Output file: {:s} already exists'.format(self.fitstbl.construct_basename(frames[0])) + - '. Set overwrite=True to recreate and overwrite.') + msgs.warn(f'Output file: {self.fitstbl.construct_basename(frames[0])} already ' + ' exists. Set overwrite=True to recreate and overwrite.') - msgs.info('Finished calibration group {0}'.format(i)) + msgs.info(f'Finished calibration group {calib_ID}') # Finish self.print_end_time() From 454874848b3a7b81d9aa0308e3aee48a35237b00 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 6 May 2022 13:34:46 -0700 Subject: [PATCH 061/308] Updates to sensfunc computation and related functions * Actually mask bad values in the sensfunc bspline fitting * Add config-specific keywords to output sensfunc files * Make the primary FITS header (sensfunc files) conform to PypeIt standards * Include spectrograph and pypeline in sensfunc FITS file header * Bug fix for reading in existing sensfunc files w/o configuration_keys fields * Adding warnings for unset FITS keywords * Docstring updates and notes in the code for developers modified: pypeit/core/flux_calib.py modified: pypeit/scripts/sensfunc.py modified: pypeit/sensfunc.py modified: pypeit/specobjs.py modified: pypeit/spectrographs/spectrograph.py --- pypeit/core/flux_calib.py | 7 ++++++- pypeit/scripts/sensfunc.py | 13 +++++++++++-- pypeit/sensfunc.py | 2 -- pypeit/specobjs.py | 2 +- pypeit/spectrographs/spectrograph.py | 19 +++++++++++++++---- 5 files changed, 33 insertions(+), 10 deletions(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index eed330a9b3..6d1aae8d7d 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -1400,7 +1400,11 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non # init_breakpoints = fullbkpt msgs.info("Bspline fit on zeropoint. ") - bset1, bmask = fitting.iterfit(wave, zeropoint_clean, invvar=zeropoint_ivar, inmask=zeropoint_fitmask, upper=upper, lower=lower, + # TODO: This is a hack, but the mask sent to iterfit is not truly applied + # Do not send non-finite points to the iterfit(), else `bset1` will be np.nan + finite_gpm = np.isfinite(zeropoint_clean) + bset1, bmask = fitting.iterfit(wave[finite_gpm], zeropoint_clean[finite_gpm], invvar=zeropoint_ivar[finite_gpm], + inmask=zeropoint_fitmask[finite_gpm], upper=upper, lower=lower, fullbkpt=init_breakpoints, maxiter=maxiter, kwargs_bspline=kwargs_bspline, kwargs_reject=kwargs_reject) zeropoint_bspl, zeropoint_fit_gpm = bset1.value(wave) @@ -1411,6 +1415,7 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non plt.figure(1) plt.plot(wave, zeropoint_data, drawstyle='steps-mid', color='black', label='Zeropoint Data') plt.plot(wave, zeropoint_bspl, color='cornflowerblue', label='Bspline fit') + plt.plot(wave, zeropoint_poly, color='orchid', label='PolyFit for masking') plt.plot(wave[np.invert(zeropoint_fitmask)], zeropoint_data[np.invert(zeropoint_fitmask)], '+', color='red', markersize=5.0, label='masked zeropoint') plt.plot(wave[np.invert(zeropoint_fitmask)], zeropoint_bspl[np.invert(zeropoint_fitmask)], '+', color='red', markersize=5.0, diff --git a/pypeit/scripts/sensfunc.py b/pypeit/scripts/sensfunc.py index 4249dc28fe..17d2c9b022 100644 --- a/pypeit/scripts/sensfunc.py +++ b/pypeit/scripts/sensfunc.py @@ -76,6 +76,7 @@ def main(args): from pypeit import msgs from pypeit import inputfiles + from pypeit import io from pypeit.par import pypeitpar from pypeit import sensfunc from pypeit.spectrographs.util import load_spectrograph @@ -107,6 +108,14 @@ def main(args): spectrograph = load_spectrograph(header['PYP_SPEC']) spectrograph_def_par = spectrograph.default_pypeit_par() + # Construct a primary FITS header that includes the spectrograph's + # config keys for inclusion in the output sensfunc file + primary_hdr = io.initialize_header() + add_keys = ['PYP_SPEC'] + spectrograph.configuration_keys() + for key in add_keys: + if key.upper() in header.keys(): + primary_hdr[key.upper()] = header[key.upper()] + # If the .sens file was passed in read it and overwrite default parameters if args.sens_file is not None: @@ -150,8 +159,8 @@ def main(args): debug=args.debug) # Generate the sensfunc sensobj.run() - # Write it out to a file - sensobj.to_file(outfile, overwrite=True) + # Write it out to a file, including the new primary FITS header + sensobj.to_file(outfile, overwrite=True, primary_hdr=primary_hdr) #TODO JFH Add a show_sensfunc option here and to the sensfunc classes. diff --git a/pypeit/sensfunc.py b/pypeit/sensfunc.py index 40bde208e2..d39fc70068 100644 --- a/pypeit/sensfunc.py +++ b/pypeit/sensfunc.py @@ -3,7 +3,6 @@ .. include:: ../include/links.rst """ -import os import inspect from IPython import embed @@ -19,7 +18,6 @@ from pypeit import msgs from pypeit import specobjs from pypeit import utils -from pypeit import io from pypeit.core import coadd from pypeit.core import flux_calib from pypeit.core import telluric diff --git a/pypeit/specobjs.py b/pypeit/specobjs.py index dd6e1c1471..a1de68ffc3 100644 --- a/pypeit/specobjs.py +++ b/pypeit/specobjs.py @@ -196,7 +196,7 @@ def unpack_object(self, ret_flam=False, extract_type='OPT'): True=Good - meta_spec (dict:) Dictionary containing meta data. The keys are defined by - spectrograph.header_cards_from_spec() + spectrograph.parse_spec_header() - header (astropy.io.header object): header from spec1d file """ diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index db295a143d..9db914265e 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -314,8 +314,10 @@ def parse_spec_header(self, header): :obj:`dict`: Dictionary with the metadata read from ``header``. """ spec_dict = {} - # + # The keys in spec_dict should be the CORE metadata, + # spectrograph CONFIGURATION KEYS, and the FILENAME core_meta_keys = list(meta.define_core_meta().keys()) + core_meta_keys += self.configuration_keys() core_meta_keys += ['filename'] for key in core_meta_keys: if key.upper() in header.keys(): @@ -354,13 +356,22 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, subheader = {} core_meta = meta.define_core_meta() - # Core + # Core Metadata Keys -- These must be present for key in core_meta.keys(): try: subheader[key] = (row_fitstbl[key], core_meta[key]['comment']) except KeyError: if not allow_missing: - msgs.error("Key: {} not present in your fitstbl/Header".format(key)) + msgs.error(f"Core Meta Key: {key} not present in your fitstbl/Header") + # Configuration Keys -- In addition to Core Meta, + # other Config-Specific values; optional + for key in self.configuration_keys(): + if key not in subheader: + try: + subheader[key] = row_fitstbl[key] + except KeyError: + # If configuration_key is not in row_fitstbl, warn but move on + msgs.warn(f"Configuration Key: {key} not present in your fitstbl/Header") # Add a few more for key in ['filename']: # For fluxing subheader[key] = row_fitstbl[key] @@ -1733,7 +1744,7 @@ def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table) Input inverse variance of standard star counts gpm_in: (bool np.ndarray) shape = (nspec,) Input good pixel mask for standard - meta_table: (astropy.table) + meta_table: (dict) Table containing meta data that is slupred from the specobjs object. See unpack_object routine in specobjs.py for the contents of this table. From 625eca3941828cac11a37060a05f4654216a8312 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 9 Feb 2023 10:43:37 -0700 Subject: [PATCH 062/308] Sensfunc in progress updates modified: pypeit/core/fitting.py modified: pypeit/core/flux_calib.py modified: pypeit/par/parset.py modified: pypeit/scripts/sensfunc.py --- pypeit/core/fitting.py | 16 +++++++++++++--- pypeit/core/flux_calib.py | 37 ++++++++++++++++++++++++++++++++++--- pypeit/par/parset.py | 25 +++++++++++++++---------- pypeit/scripts/sensfunc.py | 2 +- 4 files changed, 63 insertions(+), 17 deletions(-) diff --git a/pypeit/core/fitting.py b/pypeit/core/fitting.py index 86cdb26a8e..a6840f1aa6 100644 --- a/pypeit/core/fitting.py +++ b/pypeit/core/fitting.py @@ -881,6 +881,9 @@ def iterfit(xdata, ydata, invvar=None, inmask=None, upper=5, lower=5, x2=None, invvar : :class:`numpy.ndarray`, optional Inverse variance of `ydata`. If not set, it will be calculated based on the standard deviation. + inmask : :class:`numpy.ndarray`, optional + Input Good Pixel Mask for performing the fit. If not set, it will be + set to the locus of positive ``invvar`` points. upper : :class:`int` or :class:`float`, optional Upper rejection threshold in units of sigma, defaults to 5 sigma. lower : :class:`int` or :class:`float`, optional @@ -898,6 +901,8 @@ def iterfit(xdata, ydata, invvar=None, inmask=None, upper=5, lower=5, x2=None, Full breakpoints for the b-spline, default None. kwargs_bspline : :class:`dict`, optional Keyword arguments for the b-spline, default {}. + kwargs_reject : :class:`dict`, optional + Keyword arguments passed to :func:`pypeit.core.pydl.djs_reject`, default {}. Returns ------- @@ -933,7 +938,7 @@ def iterfit(xdata, ydata, invvar=None, inmask=None, upper=5, lower=5, x2=None, else: outmask = np.ones(invvar.shape, dtype='bool') xsort = xdata.argsort() - maskwork = (outmask & inmask & (invvar > 0.0))[xsort] + maskwork = (outmask & inmask & (invvar > 0.0))[xsort] # `maskwork` is in xsort order if 'oldset' in kwargs_bspline: sset = kwargs_bspline['oldset'] sset.mask[:] = True @@ -996,8 +1001,12 @@ def iterfit(xdata, ydata, invvar=None, inmask=None, upper=5, lower=5, x2=None, ct = 0 else: sset.mask[goodbk[ileft]] = False - error, yfit = sset.fit(xwork, ywork, invwork * maskwork, - x2=x2work) + error, yfit = sset.fit( + xwork, # x-sorted x data array + ywork, # x-sorted y data array + invwork * maskwork, # masked x-sorted invvar array + x2=x2work # x-sorted x2 array + ) iiter += 1 inmask_rej = maskwork if error == -2: @@ -1012,6 +1021,7 @@ def iterfit(xdata, ydata, invvar=None, inmask=None, upper=5, lower=5, x2=None, else: pass outmask[xsort] = maskwork + # TODO: TPEB 2/2/23. Why do these next two lines exist? They don't seem to do anything. temp = yfit yfit[xsort] = temp return (sset, outmask) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index 6d1aae8d7d..43257b7404 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -974,6 +974,8 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, mask_star: bool, optional whether you need to mask Hydrogen recombination line region. If False, the returned msk_star are all good. + mask_abs_lines: bool, optional + whether you need to mask absorption lines (primarily hydrogen) mask_tell: bool, optional whether you need to mask telluric region. If False, the returned msk_tell are all good. balm_mask_wid: float @@ -1050,6 +1052,14 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, ipfund = np.abs(wave_star - line_pfund) <= balm_mask_wid mask_balm[ipfund] = False + # Mask HeII + msgs.info(" Masking HeII lines") + lines_heII = np.array([4200., 5412., 4686.]) + for line_heII in lines_heII: + iheII = np.abs(wave_star - line_heII) < balm_mask_wid + mask_balm[iheII] = False + + if mask_telluric: ## Mask telluric region in the optical tell_opt = np.any([((wave_star >= 6270.00) & (wave_star <= 6290.00)), # H2O @@ -1177,6 +1187,7 @@ def compute_zeropoint(wave, N_lam, N_lam_gpm, flam_std_star, tellmodel=None): zeropoint = -2.5*np.log10(S_nu_dimless + (S_nu_dimless <= 0.0)) + ZP_UNIT_CONST zeropoint_gpm = N_lam_gpm & np.isfinite(zeropoint) & (N_lam > 0.0) & (S_nu_dimless > 0.0) & \ np.isfinite(flam_std_star) & (wave > 1.0) + msgs.test(f"Number of masked pixels in zeropoint: {np.logical_not(zeropoint_gpm).sum()}") return zeropoint, zeropoint_gpm #def throughput_from_sensfile(sensfile): @@ -1329,9 +1340,19 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non if mask_balm is None: mask_balm = np.ones_like(wave, dtype=bool) + msgs.test("Mask information:") + msgs.test(f"Number of masked pixels in Nlam_gpm: {np.logical_not(Nlam_gpm).sum()}") + msgs.test(f"Number of masked pixels in mask_balm: {np.logical_not(mask_balm).sum()}") + msgs.test(f"Number of masked pixels in mask_tell: {np.logical_not(mask_tell).sum()}") + + + zeropoint_data, zeropoint_data_gpm = compute_zeropoint(wave, Nlam, Nlam_gpm, flam_true) zeropoint_fitmask = zeropoint_data_gpm & mask_tell & mask_balm + + msgs.test(f"Number of masked pixels in zeropoint_fitmask: {np.logical_not(zeropoint_fitmask).sum()}") + wave_min = wave[wave > 1.0].min() wave_max = wave[wave > 1.0].max() @@ -1340,6 +1361,8 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non lower=lower, upper=upper, groupbadpix=False, grow=0, sticky=True, use_mad=True) + msgs.test(f"Number of masked pixels in pypeitFit.bool_gpm: {np.logical_not(pypeitFit.bool_gpm).sum()}") + zeropoint_poly = pypeitFit.eval(wave) # Robustly characterize the standard deviation for the b-spline fitting. zp_dev_mean, zp_dev_median, zp_std = stats.sigma_clipped_stats(zeropoint_data - zeropoint_poly, np.invert(zeropoint_fitmask), @@ -1354,6 +1377,7 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non zeropoint_clean_gpm = zeropoint_data_gpm.copy() # Polynomial corrections on Hydrogen Recombination lines if (np.sum(zeropoint_fitmask) > 0.5 * len(zeropoint_fitmask)) & polycorrect: + msgs.info("Doing some black magic with the Hydrogen recombination lines") ## Only correct Hydrogen Recombination lines with polyfit in the telluric free region balmer_clean = np.zeros_like(wave, dtype=bool) # Commented out the bluest recombination lines since they are weak for spectroscopic standard stars. @@ -1400,9 +1424,16 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non # init_breakpoints = fullbkpt msgs.info("Bspline fit on zeropoint. ") - # TODO: This is a hack, but the mask sent to iterfit is not truly applied + + # TODO: TPEB 2/2/23. The `finite_gpm` is a hack, but the mask sent to + # iterfit is not truly applied. The variable `zeropoint_fitmask` + # should include all points where `zeropoint_clean` is finite, so + # `finite_gpm` shouldn't be required. In `iterfit()`, the `inmask` + # is incorporated into `maskwork`, so should work, but doesn't when + # `zeropoint_clean` contains non-finite values. + # Do not send non-finite points to the iterfit(), else `bset1` will be np.nan - finite_gpm = np.isfinite(zeropoint_clean) + finite_gpm = np.ones_like(zeropoint_clean, dtype=bool) #np.isfinite(zeropoint_clean) bset1, bmask = fitting.iterfit(wave[finite_gpm], zeropoint_clean[finite_gpm], invvar=zeropoint_ivar[finite_gpm], inmask=zeropoint_fitmask[finite_gpm], upper=upper, lower=lower, fullbkpt=init_breakpoints, maxiter=maxiter, kwargs_bspline=kwargs_bspline, @@ -1420,7 +1451,7 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non label='masked zeropoint') plt.plot(wave[np.invert(zeropoint_fitmask)], zeropoint_bspl[np.invert(zeropoint_fitmask)], '+', color='red', markersize=5.0, label='masked zeropoint_bspl_fit') - plt.plot(init_breakpoints, zeropoint_bspl_bkpt, '.', color='green', markersize=4.0, label='breakpoints') + plt.plot(init_breakpoints, zeropoint_bspl_bkpt, '.', color='cyan', markersize=8.0, label='breakpoints') plt.plot(init_breakpoints, np.interp(init_breakpoints, wave, zeropoint_data), '.', color='green', markersize=4.0, label='data interpolated onto breakpoints') diff --git a/pypeit/par/parset.py b/pypeit/par/parset.py index 05f1fa68a8..fb50eb6a4f 100644 --- a/pypeit/par/parset.py +++ b/pypeit/par/parset.py @@ -5,9 +5,7 @@ .. include:: ../include/links.rst """ import os -import warnings import textwrap -import sys from IPython import embed @@ -15,6 +13,7 @@ from astropy.io import fits +from pypeit import msgs from pypeit.par import util @@ -209,8 +208,10 @@ def __setitem__(self, key, value): if isinstance(value, list): is_parset_or_dict = [ isinstance(v, (ParSet, dict)) for v in value ] if numpy.any(is_parset_or_dict) and not numpy.all(is_parset_or_dict): - warnings.warn('List includes a mix of ParSet and dicts with other types. ' - 'Displaying and writing the ParSet will not be correct!') + msgs.warn( + "List includes a mix of ParSet and dicts with other types. " + "Displaying and writing the ParSet will not be correct!" + ) if self.options[key] is not None: if isinstance(value, list): @@ -651,7 +652,7 @@ def to_config(self, cfg_file=None, section_name=None, section_comment=None, sect section_name argument was provided. """ if cfg_file is not None and os.path.isfile(cfg_file) and not append and not quiet: - warnings.warn('Selected configuration file already exists and will be overwritten!') + msgs.warn("Selected configuration file already exists and will be overwritten!") config_output = [] if numpy.all([ isinstance(d, ParSet) or d is None for d in self.data.values() ]): @@ -798,8 +799,10 @@ def to_header(self, hdr=None, prefix=None, quiet=False): continue if isinstance(value, ParSet): if not quiet: - warnings.warn('ParSets within ParSets are not written to headers! ' - 'Skipping {0}.'.format(key)) + msgs.warn( + "ParSets within ParSets are not written to headers! " + f"Skipping {key}." + ) continue if isinstance(value, list): _value = '[' + ', '.join([str(v) for v in value]) + ']' @@ -1008,9 +1011,11 @@ def _set_dtypes(inp, i): # inp.dtype is always a list if any([t in inp[i].dtype[k] for t in [int , float]]) \ and any([t in inp[i].dtype[k] for t in [list, numpy.ndarray]]): - warnings.warn('Parameter set has elements that can be either individual ' \ - 'ints/floats or lists/arrays. Database column {0} will have type ' \ - '\'object\'.'.format(k)) + msgs.warn( + "Parameter set has elements that can be either individual " + f"ints/floats or lists/arrays. Database column {k} will have type " + "'object'." + ) dtypes += [(k,object)] elif len(list({int, float} - set(inp[i].dtype[k]))) == 0: dtypes += [(k,float)] diff --git a/pypeit/scripts/sensfunc.py b/pypeit/scripts/sensfunc.py index 17d2c9b022..9991cb25f3 100644 --- a/pypeit/scripts/sensfunc.py +++ b/pypeit/scripts/sensfunc.py @@ -160,7 +160,7 @@ def main(args): # Generate the sensfunc sensobj.run() # Write it out to a file, including the new primary FITS header - sensobj.to_file(outfile, overwrite=True, primary_hdr=primary_hdr) + sensobj.to_file(outfile, primary_hdr=primary_hdr, overwrite=True) #TODO JFH Add a show_sensfunc option here and to the sensfunc classes. From 506e180116c7e35dcc6549877407dab6bfbc6ff8 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 10 Feb 2023 12:06:06 -0700 Subject: [PATCH 063/308] Change ``mask_abs_lines`` --> ``mask_hydrogen_lines`` + ``mask_helium_lines`` For UVIS sensitivity functions, add the ability to mask out helium lines in addition to hydrogen lines. For IR sensitivity functions, simply rename ``abs`` --> ``hydrogen`` modified: pypeit/core/datacube.py modified: pypeit/core/flux_calib.py modified: pypeit/core/telluric.py modified: pypeit/par/pypeitpar.py modified: pypeit/scripts/tellfit.py modified: pypeit/sensfunc.py --- pypeit/core/datacube.py | 3 ++- pypeit/core/flux_calib.py | 45 +++++++++++++++++++++++++-------------- pypeit/core/telluric.py | 12 +++++------ pypeit/par/pypeitpar.py | 23 ++++++++++---------- pypeit/scripts/tellfit.py | 2 +- pypeit/sensfunc.py | 5 +++-- 6 files changed, 52 insertions(+), 38 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index a1fd9edd40..451d43f91d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1202,7 +1202,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Calculate the sensitivity curve zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm =\ fit_zeropoint(wave.value, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, - mask_abs_lines=senspar['mask_abs_lines'], balm_mask_wid=senspar['UVIS']['balm_mask_wid'], + mask_hydrogen_lines=senspar['mask_hydrogen_lines'], mask_helium_line=senspar['mask_helium_lines'], + balm_mask_wid=senspar['UVIS']['balm_mask_wid'], nresln=senspar['UVIS']['nresln'], resolution=senspar['UVIS']['resolution'], trans_thresh=senspar['UVIS']['trans_thresh'], polyorder=senspar['polyorder'], polycorrect=senspar['UVIS']['polycorrect'], polyfunc=senspar['UVIS']['polyfunc']) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index 43257b7404..a9ed47f5aa 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -603,7 +603,8 @@ def find_standard(specobj_list): def sensfunc(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, longitude, latitude, extinctfilepar, ech_orders=None, - mask_abs_lines=True, polyorder=4, balm_mask_wid=10.0, nresln=20., resolution=3000., + mask_hydrogen_lines=True, mask_helium_lines=False, + polyorder=4, balm_mask_wid=10.0, nresln=20., resolution=3000., trans_thresh=0.9,polycorrect=True, polyfunc=False, debug=False): """ Function to generate the sensitivity function. This function fits @@ -638,10 +639,12 @@ def sensfunc(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, ech_orders (int `numpy.ndarray`_): If passed the echelle orders will be added to the meta_table. ech_orders must be a numpy array of integers with the shape (norders,) giving the order numbers - mask_abs_lines (bool): - If True, mask stellar absorption lines before fitting sensitivity function. Default = True + mask_hydrogen_lines (bool): + If True, mask stellar hydrogen absorption lines before fitting sensitivity function. Default = True + mask_helium_lines (bool): + If True, mask stellar helium absorption lines before fitting sensitivity function. Default = False balm_mask_wid (float): - Parameter describing the width of the mask for or stellar absorption lines (i.e. mask_abs_lines=True). A region + Parameter describing the width of the mask for or stellar absorption lines (i.e. mask_hydrogen_lines=True). A region equal to balm_mask_wid*resln is masked where resln is the estimate for the spectral resolution in pixels per resolution element. polycorrect (bool): @@ -684,7 +687,8 @@ def sensfunc(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, # Fit the zeropoint zeropoint_data[:, iord], zeropoint_data_gpm[:, iord], zeropoint_fit[:, iord], zeropoint_fit_gpm[:, iord], =\ fit_zeropoint(wave_arr[:,iord], Nlam_star, Nlam_star_ivar, gpm_star, std_dict, - mask_abs_lines=mask_abs_lines, polyorder=polyorder, + mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, + polyorder=polyorder, balm_mask_wid=balm_mask_wid, nresln=nresln, resolution=resolution, trans_thresh=trans_thresh, polycorrect=polycorrect, polyfunc=polyfunc, debug=debug) # Calculate the minimum and maximum wavelength for this order @@ -861,7 +865,8 @@ def counts2Nlam(wave, counts, counts_ivar, counts_mask, exptime, airmass, longit def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, - mask_abs_lines=True, polyorder=4, balm_mask_wid=10.0, + mask_hydrogen_lines=True, mask_helium_lines=False, + polyorder=4, balm_mask_wid=10.0, nresln=20., resolution=3000., trans_thresh=0.9, polycorrect=True, polyfunc=False, debug=False): @@ -883,10 +888,12 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, Good pixel mask for Nlam_star std_dict (dict): Dictionary containing information about the standard star returned by flux_calib.get_standard_spectrum - mask_abs_lines (bool, optional): - If True, mask stellar absorption lines before fitting sensitivity function. Default = True + mask_hydrogen_lines (bool, optional): + If True, mask stellar hydrogen absorption lines before fitting sensitivity function. Default = True + mask_helium_lines (bool, optional): + If True, mask stellar helium absorption lines before fitting sensitivity function. Default = False balm_mask_wid (float, optional): - Parameter describing the width of the mask for or stellar absorption lines (i.e. mask_abs_lines=True). A region + Parameter describing the width of the mask for or stellar absorption lines (i.e. mask_hydrogen_lines=True). A region equal to balm_mask_wid*resln is masked where resln is the estimate for the spectral resolution in pixels per resolution element. polycorrect (bool, optional): @@ -934,8 +941,11 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, plt.show() # Get masks from observed star spectrum. True = Good pixels - mask_bad, mask_balm, mask_tell = get_mask(wave, Nlam_star, Nlam_ivar_star, gpm_star, mask_abs_lines=mask_abs_lines, - mask_telluric=True, balm_mask_wid=balm_mask_wid, trans_thresh=trans_thresh) + mask_bad, mask_balm, mask_tell = get_mask(wave, Nlam_star, Nlam_ivar_star, gpm_star, + mask_hydrogen_lines=mask_hydrogen_lines, + mask_helium_lines=mask_helium_lines, + mask_telluric=True, balm_mask_wid=balm_mask_wid, + trans_thresh=trans_thresh) # Get zeropoint zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm = standard_zeropoint( @@ -957,8 +967,8 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, def get_mask(wave_star, flux_star, ivar_star, mask_star, - mask_abs_lines=True, mask_telluric=True, balm_mask_wid=10., - trans_thresh=0.9): + mask_hydrogen_lines=True, mask_helium_lines=False, + mask_telluric=True, balm_mask_wid=10., trans_thresh=0.9): """ Generate a set of masks from your observed standard spectrum. e.g. Balmer absorption @@ -974,8 +984,10 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, mask_star: bool, optional whether you need to mask Hydrogen recombination line region. If False, the returned msk_star are all good. - mask_abs_lines: bool, optional - whether you need to mask absorption lines (primarily hydrogen) + mask_hydrogen_lines: bool, optional + whether you need to mask hydrogen absorption lines + mask_helium_lines: bool, optional + whether you need to mask hydrogen absorption lines mask_tell: bool, optional whether you need to mask telluric region. If False, the returned msk_tell are all good. balm_mask_wid: float @@ -1015,7 +1027,7 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, mask_bad[atms_cutoff] = False # TODO JFH replace with mask_star_lines from telluric.py - if mask_abs_lines: + if mask_hydrogen_lines: # Mask Balmer, Paschen, Brackett, and Pfund recombination lines msgs.info("Masking recombination lines:") # Mask Balmer @@ -1052,6 +1064,7 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, ipfund = np.abs(wave_star - line_pfund) <= balm_mask_wid mask_balm[ipfund] = False + if mask_helium_lines: # Mask HeII msgs.info(" Masking HeII lines") lines_heII = np.array([4200., 5412., 4686.]) diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index 437b335fa3..709e3e140b 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -1235,7 +1235,7 @@ def mask_star_lines(wave_star, mask_width=10.0): return mask_star def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, - telgridfile, ech_orders=None, polyorder=8, mask_abs_lines=True, + telgridfile, ech_orders=None, polyorder=8, mask_hydrogen_lines=True, resln_guess=None, resln_frac_bounds=(0.5, 1.5), delta_coeff_bounds=(-20.0, 20.0), minmax_coeff_bounds=(-5.0, 5.0), sn_clip=30.0, ballsize=5e-4, only_orders=None, maxiter=3, lower=3.0, @@ -1279,8 +1279,8 @@ def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, If passed, provides the true order numbers for the spectra provided. polyorder : :obj:`int`, optional, default = 8 Polynomial order for the sensitivity function fit. - mask_abs_lines : :obj:`bool`, optional, default=True - Mask proiminent stellar absorption lines? + mask_hydrogen_lines : :obj:`bool`, optional, default=True + Mask proiminent hydrogen stellar absorption lines? resln_guess : :obj:`float`, optional A guess for the resolution of your spectrum expressed as lambda/dlambda. The resolution is fit explicitly as part of the @@ -1379,7 +1379,7 @@ def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, debug=debug_init) # Optionally, mask prominent stellar absorption features - mask_tot = (mask_star_lines(wave) & counts_mask) if mask_abs_lines else counts_mask + mask_tot = (mask_star_lines(wave) & counts_mask) if mask_hydrogen_lines else counts_mask # Since we are fitting a sensitivity function, first compute counts per second per angstrom. TelObj = Telluric(wave, counts, counts_ivar, mask_tot, telgridfile, obj_params, @@ -1591,7 +1591,7 @@ def qso_telluric(spec1dfile, telgridfile, pca_file, z_qso, telloutfile, outfile, def star_telluric(spec1dfile, telgridfile, telloutfile, outfile, star_type=None, star_mag=None, star_ra=None, star_dec=None, func='legendre', model='exp', polyorder=5, - mask_abs_lines=True, delta_coeff_bounds=(-20.0, 20.0), + mask_hydrogen_lines=True, delta_coeff_bounds=(-20.0, 20.0), minmax_coeff_bounds=(-5.0, 5.0), only_orders=None, sn_clip=30.0, maxiter=3, tol=1e-3, popsize=30, recombination=0.7, polish=True, disp=False, debug_init=False, debug=False, show=False): @@ -1643,7 +1643,7 @@ def star_telluric(spec1dfile, telgridfile, telloutfile, outfile, star_type=None, debug=debug_init) # Optionally, mask prominent stellar absorption features - if mask_abs_lines: + if mask_hydrogen_lines: inmask = mask_star_lines(wave) mask_tot = inmask & mask else: diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index e3c18953e8..1531b87e3d 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1583,7 +1583,7 @@ class SensFuncPar(ParSet): """ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_det=None, algorithm=None, UVIS=None, IR=None, polyorder=None, star_type=None, star_mag=None, star_ra=None, - star_dec=None, mask_abs_lines=None): + star_dec=None, mask_hydrogen_lines=None, mask_helium_lines=None): # Grab the parameter names and values from the function arguments args, _, _, values = inspect.getargvalues(inspect.currentframe()) pars = OrderedDict([(k, values[k]) for k in args[1:]]) @@ -1662,9 +1662,13 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ dtypes['star_dec'] = float descr['star_dec'] = 'DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent' - defaults['mask_abs_lines'] = True - dtypes['mask_abs_lines'] = bool - descr['mask_abs_lines'] = 'Mask Balmer, Paschen, Brackett, and Pfund lines in sensitivity function fit' + defaults['mask_hydrogen_lines'] = True + dtypes['mask_hydrogen_lines'] = bool + descr['mask_hydrogen_lines'] = 'Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit' + + defaults['mask_helium_lines'] = False + dtypes['mask_helium_lines'] = bool + descr['mask_helium_lines'] = 'Mask certain ``HeII`` recombination lines prominent in O- and early B-type stars in the sensitivity function fit' # Instantiate the parameter set super(SensFuncPar, self).__init__(list(pars.keys()), @@ -1681,7 +1685,7 @@ def from_dict(cls, cfg): # Single element parameters parkeys = ['extrap_blu', 'extrap_red', 'samp_fact', 'multi_spec_det', 'algorithm', - 'polyorder', 'star_type', 'star_mag', 'star_ra', 'star_dec', 'mask_abs_lines'] + 'polyorder', 'star_type', 'star_mag', 'star_ra', 'star_dec', 'mask_hydrogen_lines', 'mask_helium_lines'] # All parameters, including nested ParSets allkeys = parkeys + ['UVIS', 'IR'] @@ -1973,7 +1977,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ sticky=None, lower=None, upper=None, seed=None, tol=None, popsize=None, recombination=None, polish=None, disp=None, objmodel=None, redshift=None, delta_redshift=None, pca_file=None, npca=None, bal_wv_min_max=None, bounds_norm=None, tell_norm_thresh=None, only_orders=None, pca_lower=None, - pca_upper=None, star_type=None, star_mag=None, star_ra=None, star_dec=None, mask_abs_lines=None, + pca_upper=None, star_type=None, star_mag=None, star_ra=None, star_dec=None, func=None, model=None, polyorder=None, fit_wv_min_max=None, mask_lyman_a=None): # Grab the parameter names and values from the function @@ -2173,7 +2177,6 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ dtypes['mask_lyman_a'] = bool descr['mask_lyman_a'] = 'Mask the blueward of Lyman-alpha line during the fitting?' - ### Start parameters for star_telluric defaults['star_type'] = None dtypes['star_type'] = str @@ -2191,10 +2194,6 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ dtypes['star_dec'] = float descr['star_dec'] = 'Object declination in decimal deg' - defaults['mask_abs_lines'] = True - dtypes['mask_abs_lines'] = bool - descr['mask_abs_lines'] = 'Mask stellar absorption line?' - ### parameters for both star_telluric and poly_telluric defaults['func'] = 'legendre' dtypes['func'] = str @@ -2233,7 +2232,7 @@ def from_dict(cls, cfg): 'popsize', 'recombination', 'polish', 'disp', 'objmodel','redshift', 'delta_redshift', 'pca_file', 'npca', 'bal_wv_min_max', 'bounds_norm', 'tell_norm_thresh', 'only_orders', 'pca_lower', 'pca_upper', - 'star_type','star_mag','star_ra','star_dec','mask_abs_lines', + 'star_type','star_mag','star_ra','star_dec', 'func','model','polyorder','fit_wv_min_max','mask_lyman_a'] badkeys = np.array([pk not in parkeys for pk in k]) diff --git a/pypeit/scripts/tellfit.py b/pypeit/scripts/tellfit.py index 11d629f4ae..ff17638e20 100644 --- a/pypeit/scripts/tellfit.py +++ b/pypeit/scripts/tellfit.py @@ -175,7 +175,7 @@ def main(args): model=par['telluric']['model'], polyorder=par['telluric']['polyorder'], only_orders=par['telluric']['only_orders'], - mask_abs_lines=par['telluric']['mask_abs_lines'], + mask_hydrogen_lines=par['sensfunc']['mask_hydrogen_lines'], delta_coeff_bounds=par['telluric']['delta_coeff_bounds'], minmax_coeff_bounds=par['telluric']['minmax_coeff_bounds'], maxiter=par['telluric']['maxiter'], diff --git a/pypeit/sensfunc.py b/pypeit/sensfunc.py index d39fc70068..c65d642389 100644 --- a/pypeit/sensfunc.py +++ b/pypeit/sensfunc.py @@ -739,7 +739,7 @@ def compute_zeropoint(self): resln_guess=self.par['IR']['resln_guess'], resln_frac_bounds=self.par['IR']['resln_frac_bounds'], sn_clip=self.par['IR']['sn_clip'], - mask_abs_lines=self.par['mask_abs_lines'], + mask_hydrogen_lines=self.par['mask_hydrogen_lines'], maxiter=self.par['IR']['maxiter'], lower=self.par['IR']['lower'], upper=self.par['IR']['upper'], @@ -867,7 +867,8 @@ def compute_zeropoint(self): self.meta_spec['ECH_ORDERS'], polyorder=self.par['polyorder'], balm_mask_wid=self.par['UVIS']['balm_mask_wid'], - mask_abs_lines=self.par['mask_abs_lines'], + mask_hydrogen_lines=self.par['mask_hydrogen_lines'], + mask_helium_lines=self.par['mask_helium_lines'], nresln=self.par['UVIS']['nresln'], resolution=self.par['UVIS']['resolution'], trans_thresh=self.par['UVIS']['trans_thresh'], From 03c3274a7b3ee0e8a1a9bccd49cb4df88c6432ca Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 10 Feb 2023 15:32:14 -0700 Subject: [PATCH 064/308] Move ``mask_star_lines()`` from telluric.py to flux_calib.py Move the hydrogen recombination line masking from ``telluric.py`` to ``flux_calib.py`` to remove duplicate code from the two modules, per request from JFH. modified: pypeit/core/flux_calib.py modified: pypeit/core/telluric.py --- pypeit/core/flux_calib.py | 106 +++++++++++++++++++++++++------------- pypeit/core/telluric.py | 59 +-------------------- 2 files changed, 71 insertions(+), 94 deletions(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index a9ed47f5aa..44d806b5e2 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -1026,48 +1026,15 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, atms_cutoff = wave_star <= 3000.0 mask_bad[atms_cutoff] = False - # TODO JFH replace with mask_star_lines from telluric.py if mask_hydrogen_lines: - # Mask Balmer, Paschen, Brackett, and Pfund recombination lines - msgs.info("Masking recombination lines:") - # Mask Balmer - msgs.info(" Masking Balmer") - lines_balm = np.array([3836.4, 3969.6, 3890.1, 4102.8, 4102.8, 4341.6, 4862.7, 5407.0, - 6564.6, 8224.8, 8239.2]) - for line_balm in lines_balm: - ibalm = np.abs(wave_star - line_balm) <= balm_mask_wid - mask_balm[ibalm] = False - # Mask Paschen - msgs.info(" Masking Paschen") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_pasc = np.array([8203.6, 8440.3, 8469.6, 8504.8, 8547.7, 8600.8, 8667.4, 8752.9, - 8865.2, 9017.4, 9229.0, 9546.0, 10049.4, 10938.1, - 12818.1, 18751.0]) - for line_pasc in lines_pasc: - ipasc = np.abs(wave_star - line_pasc) <= balm_mask_wid - mask_balm[ipasc] = False - # Mask Brackett - msgs.info(" Masking Brackett") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_brac = np.array([14584.0, 18174.0, 19446.0, 21655.0,26252.0, 40512.0]) - for line_brac in lines_brac: - ibrac = np.abs(wave_star - line_brac) <= balm_mask_wid - mask_balm[ibrac] = False - # Mask Pfund - msgs.info(" Masking Pfund") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_pfund = np.array([22788.0, 32961.0, 37395.0, 46525.0,74578.0]) - for line_pfund in lines_pfund: - ipfund = np.abs(wave_star - line_pfund) <= balm_mask_wid - mask_balm[ipfund] = False + mask_balm = mask_stellar_hydrogen( + wave_star, mask_width=balm_mask_wid, mask_star=mask_balm + ) if mask_helium_lines: # Mask HeII msgs.info(" Masking HeII lines") - lines_heII = np.array([4200., 5412., 4686.]) + lines_heII = np.array([4200., 4686., 5412.]) for line_heII in lines_heII: iheII = np.abs(wave_star - line_heII) < balm_mask_wid mask_balm[iheII] = False @@ -1115,6 +1082,71 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, return mask_bad, mask_balm, mask_tell +def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): + """ + Routine to mask stellar hydrogen recombination lines + + ..note :: + This function is pulled out separate from :func:`get_mask` because + it is used in the ``telluric`` module, independent of the remainder + of the functionality in :func:`get_mask`. + + Args: + wave_star (`numpy.ndarray`_): + Wavelength of the stellar spectrum + shape (nspec,) or (nspec, nimgs) + mask_width (float, optional): + width to mask around each line centers in Angstroms + mask_star (`numpy.ndarray`_, optional): + Incoming star mask to which to add the hydrogen lines + (Default: None) + + Returns: + `numpy.ndarray`_: bool mask. + same shape as wave_star, True=Good (i.e. does not hit a stellar absorption line) + """ + + if mask_star is None: + mask_star = np.ones_like(wave_star, dtype=bool) + # Mask Balmer, Paschen, Brackett, and Pfund recombination lines + msgs.info("Masking hydrogen recombination lines") + # Mask Balmer + msgs.info(" Masking Balmer") + lines_balm = np.array([3836.4, 3969.6, 3890.1, 4102.8, 4102.8, 4341.6, 4862.7, 5407.0, + 6564.6, 8224.8, 8239.2]) + for line_balm in lines_balm: + ibalm = np.abs(wave_star - line_balm) <= mask_width + mask_star[ibalm] = False + # Mask Paschen + msgs.info(" Masking Paschen") + # air wavelengths from: + # https://www.subarutelescope.org/Science/Resources/lines/hi.html + lines_pasc = np.array([8203.6, 8440.3, 8469.6, 8504.8, 8547.7, 8600.8, 8667.4, 8752.9, + 8865.2, 9017.4, 9229.0, 9546.0, 10049.4, 10938.1, + 12818.1, 18751.0]) + for line_pasc in lines_pasc: + ipasc = np.abs(wave_star - line_pasc) <= mask_width + mask_star[ipasc] = False + # Mask Brackett + msgs.info(" Masking Brackett") + # air wavelengths from: + # https://www.subarutelescope.org/Science/Resources/lines/hi.html + lines_brac = np.array([14584.0, 18174.0, 19446.0, 21655.0, 26252.0, 40512.0]) + for line_brac in lines_brac: + ibrac = np.abs(wave_star - line_brac) <= mask_width + mask_star[ibrac] = False + # Mask Pfund + msgs.info(" Masking Pfund") + # air wavelengths from: + # https://www.subarutelescope.org/Science/Resources/lines/hi.html + lines_pfund = np.array([22788.0, 32961.0, 37395.0, 46525.0, 74578.0]) + for line_pfund in lines_pfund: + ipfund = np.abs(wave_star - line_pfund) <= mask_width + mask_star[ipfund] = False + + return mask_star + + # These are physical limits on the allowed values of the zeropoint in magnitudes def Nlam_to_Flam(wave, zeropoint, zp_min=5.0, zp_max=30.0): diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index 709e3e140b..c3a58a0270 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -1179,61 +1179,6 @@ def eval_poly_model(theta, obj_dict): return polymodel, (polymodel > 0.0) - -def mask_star_lines(wave_star, mask_width=10.0): - """ - Routine to mask stellar recombination lines - - Args: - wave_star (`numpy.ndarray`_): - Wavelength of the stellar spectrum - shape (nspec,) or (nspec, nimgs) - mask_width (float, optional): - width to mask around each line centers in Angstroms - Returns: - `numpy.ndarray`_: bool mask. - same shape as wave_star, True=Good (i.e. does not hit a stellar absorption line) - """ - - mask_star = np.ones_like(wave_star, dtype=bool) - # Mask Balmer, Paschen, Brackett, and Pfund recombination lines - msgs.info("Masking stellar lines: Balmer, Paschen, Brackett, Pfund") - # Mask Balmer - msgs.info(" Masking Balmer") - lines_balm = np.array([3836.4, 3969.6, 3890.1, 4102.8, 4102.8, 4341.6, 4862.7, 5407.0, - 6564.6, 8224.8, 8239.2]) - for line_balm in lines_balm: - ibalm = np.abs(wave_star - line_balm) <= mask_width - mask_star[ibalm] = False - # Mask Paschen - msgs.info(" Masking Paschen") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_pasc = np.array([8203.6, 8440.3, 8469.6, 8504.8, 8547.7, 8600.8, 8667.4, 8752.9, - 8865.2, 9017.4, 9229.0, 9546.0, 10049.4, 10938.1, - 12818.1, 18751.0]) - for line_pasc in lines_pasc: - ipasc = np.abs(wave_star - line_pasc) <= mask_width - mask_star[ipasc] = False - # Mask Brackett - msgs.info(" Masking Brackett") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_brac = np.array([14584.0, 18174.0, 19446.0, 21655.0, 26252.0, 40512.0]) - for line_brac in lines_brac: - ibrac = np.abs(wave_star - line_brac) <= mask_width - mask_star[ibrac] = False - # Mask Pfund - msgs.info(" Masking Pfund") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_pfund = np.array([22788.0, 32961.0, 37395.0, 46525.0, 74578.0]) - for line_pfund in lines_pfund: - ipfund = np.abs(wave_star - line_pfund) <= mask_width - mask_star[ipfund] = False - - return mask_star - def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, telgridfile, ech_orders=None, polyorder=8, mask_hydrogen_lines=True, resln_guess=None, resln_frac_bounds=(0.5, 1.5), @@ -1379,7 +1324,7 @@ def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, debug=debug_init) # Optionally, mask prominent stellar absorption features - mask_tot = (mask_star_lines(wave) & counts_mask) if mask_hydrogen_lines else counts_mask + mask_tot = (flux_calib.mask_stellar_hydrogen(wave) & counts_mask) if mask_hydrogen_lines else counts_mask # Since we are fitting a sensitivity function, first compute counts per second per angstrom. TelObj = Telluric(wave, counts, counts_ivar, mask_tot, telgridfile, obj_params, @@ -1644,7 +1589,7 @@ def star_telluric(spec1dfile, telgridfile, telloutfile, outfile, star_type=None, # Optionally, mask prominent stellar absorption features if mask_hydrogen_lines: - inmask = mask_star_lines(wave) + inmask = flux_calib.mask_stellar_hydrogen(wave) mask_tot = inmask & mask else: mask_tot = mask From 8faa513a5dcc9dea997d46ab4f0f2884e16bf162 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 10 Feb 2023 16:20:01 -0700 Subject: [PATCH 065/308] Ensure hydrogen recombination lines for masking are in vacuum wavelengths modified: pypeit/core/flux_calib.py --- pypeit/core/flux_calib.py | 32 +++++++++++++++++++------------- 1 file changed, 19 insertions(+), 13 deletions(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index 44d806b5e2..918f6bc988 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -1110,36 +1110,42 @@ def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): mask_star = np.ones_like(wave_star, dtype=bool) # Mask Balmer, Paschen, Brackett, and Pfund recombination lines msgs.info("Masking hydrogen recombination lines") + # Mask Balmer msgs.info(" Masking Balmer") - lines_balm = np.array([3836.4, 3969.6, 3890.1, 4102.8, 4102.8, 4341.6, 4862.7, 5407.0, - 6564.6, 8224.8, 8239.2]) + # Vacuum Wavelengths from NIST (TEB, 2023-02-10) + lines_balm = np.array([6564.6, 4862.7, 4341.7, 4102.9, + 3971.2, 3890.2, 3836.4]) + # Extra lines previously in the list, source unknown: + # [5407.0, 8224.8, 8239.2] for line_balm in lines_balm: ibalm = np.abs(wave_star - line_balm) <= mask_width mask_star[ibalm] = False + # Mask Paschen msgs.info(" Masking Paschen") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_pasc = np.array([8203.6, 8440.3, 8469.6, 8504.8, 8547.7, 8600.8, 8667.4, 8752.9, - 8865.2, 9017.4, 9229.0, 9546.0, 10049.4, 10938.1, - 12818.1, 18751.0]) + # Vacuum Wavelengths from NIST (TEB, 2023-02-10) + lines_pasc = np.array([18756.4, 12821.6, 10941.2, 10052.6, + 9548.8, 9232.2, 9017.8, 8865.3, + 8752.9, 8667.4, 8600.8, 8547.7, + 8504.8, 8469.6, 8440.3, 8203.6]) for line_pasc in lines_pasc: ipasc = np.abs(wave_star - line_pasc) <= mask_width mask_star[ipasc] = False + # Mask Brackett msgs.info(" Masking Brackett") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_brac = np.array([14584.0, 18174.0, 19446.0, 21655.0, 26252.0, 40512.0]) + # Vacuum Wavelengths from NIST (TEB, 2023-02-10) + lines_brac = np.array([40522.8, 26258.7, 21661.2, 19446.0, + 18179.2, 17366.9, 14584.0]) for line_brac in lines_brac: ibrac = np.abs(wave_star - line_brac) <= mask_width mask_star[ibrac] = False + # Mask Pfund msgs.info(" Masking Pfund") - # air wavelengths from: - # https://www.subarutelescope.org/Science/Resources/lines/hi.html - lines_pfund = np.array([22788.0, 32961.0, 37395.0, 46525.0, 74578.0]) + # Vacuum Wavelengths from NIST (TEB, 2023-02-10) + lines_pfund = np.array([74599.0, 46537.8, 37405.8, 32969.8, 22788.0]) for line_pfund in lines_pfund: ipfund = np.abs(wave_star - line_pfund) <= mask_width mask_star[ipfund] = False From e662620810f4458bf008df1dcf33cb34f5cafb17 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 10 Feb 2023 17:16:49 -0700 Subject: [PATCH 066/308] Update the HeII recombination lines for masking modified: pypeit/core/flux_calib.py modified: pypeit/par/pypeitpar.py --- pypeit/core/flux_calib.py | 18 ++++++++++++------ pypeit/par/pypeitpar.py | 2 +- 2 files changed, 13 insertions(+), 7 deletions(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index 918f6bc988..a3bdee35d5 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -1009,7 +1009,7 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, # Mask (True = good pixels) # mask for recombination lines - mask_balm = np.ones_like(flux_star).astype(bool) + mask_recomb = np.ones_like(flux_star).astype(bool) # mask for telluric regions mask_tell = np.ones_like(flux_star).astype(bool) @@ -1027,17 +1027,23 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, mask_bad[atms_cutoff] = False if mask_hydrogen_lines: - mask_balm = mask_stellar_hydrogen( - wave_star, mask_width=balm_mask_wid, mask_star=mask_balm + mask_recomb = mask_stellar_hydrogen( + wave_star, mask_width=balm_mask_wid, mask_star=mask_recomb ) if mask_helium_lines: # Mask HeII msgs.info(" Masking HeII lines") - lines_heII = np.array([4200., 4686., 5412.]) + # Prominent HeII lines not overlapped by hydrogen lines: + # Vacuum wavelengths from Hubeney & Milhas (2015) + # "Theory of Stellar Atmospheres", p. 191. + lines_heII = np.array([4687.2, # 3 -> 4 + 4542.9, # 4 -> 9 + 5413.1, # 4 -> 7 + 10126.6]) # 4 -> 5 for line_heII in lines_heII: iheII = np.abs(wave_star - line_heII) < balm_mask_wid - mask_balm[iheII] = False + mask_recomb[iheII] = False if mask_telluric: @@ -1079,7 +1085,7 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, else: msgs.info('Your spectrum is bluer than 9100A, only optical telluric regions are masked.') - return mask_bad, mask_balm, mask_tell + return mask_bad, mask_recomb, mask_tell def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 1531b87e3d..6fd1382688 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1668,7 +1668,7 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ defaults['mask_helium_lines'] = False dtypes['mask_helium_lines'] = bool - descr['mask_helium_lines'] = 'Mask certain ``HeII`` recombination lines prominent in O- and early B-type stars in the sensitivity function fit' + descr['mask_helium_lines'] = 'Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit' # Instantiate the parameter set super(SensFuncPar, self).__init__(list(pars.keys()), From ae5bc8f98be7933f93762782e4887a4b34c37cd5 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 16 Feb 2023 17:12:07 -0700 Subject: [PATCH 067/308] Sorting out the sensfunc bspline masking issues modified: pypeit/core/fitting.py modified: pypeit/core/flux_calib.py modified: pypeit/par/pypeitpar.py --- pypeit/core/fitting.py | 2 +- pypeit/core/flux_calib.py | 66 +++++++++++++++------------------------ pypeit/par/pypeitpar.py | 2 +- 3 files changed, 27 insertions(+), 43 deletions(-) diff --git a/pypeit/core/fitting.py b/pypeit/core/fitting.py index a6840f1aa6..cf56e6e481 100644 --- a/pypeit/core/fitting.py +++ b/pypeit/core/fitting.py @@ -443,7 +443,7 @@ def robust_fit(xarray, yarray, order, x2=None, function='polynomial', # Update the iteration iIter += 1 if (iIter == maxiter) & (maxiter != 0) & verbose: - msgs.warn('Maximum number of iterations maxiter={:}'.format(maxiter) + ' reached in robust_polyfit_djs') + msgs.warn(f'Maximum number of iterations maxiter={maxiter} reached in robust_polyfit_djs') # Do the final fit pypeitFit = PypeItFit(xval=xarray.astype(float), yval=yarray.astype(float), diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index a3bdee35d5..0423046d17 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -958,8 +958,8 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, sensfactor = Nlam_to_Flam(wave, zeropoint_fit) plt.plot(wave[zeropoint_fit_gpm], flux_true[zeropoint_fit_gpm], color='k',lw=2, label='Reference Star') plt.plot(wave[zeropoint_fit_gpm], Nlam_star[zeropoint_fit_gpm]*sensfactor[zeropoint_fit_gpm], color='r', label='Fluxed Observed Star') - plt.xlabel(r'Wavelength [$\AA$]') - plt.ylabel('Flux [erg/s/cm2/Ang.]') + plt.xlabel('Wavelength (Angstroms)') + plt.ylabel(r'Flux (erg/s/cm$^2$/$\AA$)') plt.legend(fancybox=True, shadow=True) plt.show() @@ -1244,7 +1244,6 @@ def compute_zeropoint(wave, N_lam, N_lam_gpm, flam_std_star, tellmodel=None): zeropoint = -2.5*np.log10(S_nu_dimless + (S_nu_dimless <= 0.0)) + ZP_UNIT_CONST zeropoint_gpm = N_lam_gpm & np.isfinite(zeropoint) & (N_lam > 0.0) & (S_nu_dimless > 0.0) & \ np.isfinite(flam_std_star) & (wave > 1.0) - msgs.test(f"Number of masked pixels in zeropoint: {np.logical_not(zeropoint_gpm).sum()}") return zeropoint, zeropoint_gpm #def throughput_from_sensfile(sensfile): @@ -1321,9 +1320,9 @@ def zeropoint_qa_plot(wave, zeropoint_data, zeropoint_data_gpm, zeropoint_fit, z rejmask = zeropoint_data_gpm[wv_gpm] & np.logical_not(zeropoint_fit_gpm[wv_gpm]) axis.plot(wave[wv_gpm], zeropoint_data[wv_gpm], label='Zeropoint estimated', drawstyle='steps-mid', color='k', alpha=0.7, zorder=5, linewidth=1.0) axis.plot(wave[wv_gpm], zeropoint_fit[wv_gpm], label='Zeropoint fit', color='red', linewidth=2.0, zorder=7, alpha=0.7) - axis.plot(wave[wv_gpm][rejmask], zeropoint_data[wv_gpm][rejmask], 's', zorder=10, mfc='None', mec='blue', mew=0.7, label='rejected pixels') + axis.plot(wave[wv_gpm][rejmask], zeropoint_data[wv_gpm][rejmask], 's', zorder=10, mfc='None', mec='blue', mew=0.7, label='rejected pixels from fit') axis.plot(wave[wv_gpm][np.logical_not(zeropoint_data_gpm[wv_gpm])], zeropoint_data[wv_gpm][np.logical_not(zeropoint_data_gpm[wv_gpm])], 'v', - zorder=9, mfc='None', mec='orange', mew=0.7, label='originally masked') + zorder=11, mfc='None', mec='orange', mew=0.7, label='originally masked') med_filt_mask = zeropoint_data_gpm[wv_gpm] & np.isfinite(zeropoint_data[wv_gpm]) zp_med_filter = utils.fast_running_median(zeropoint_data[wv_gpm][med_filt_mask], 11) axis.set_ylim(0.95 * zp_med_filter.min(), 1.05 * zp_med_filter.max()) @@ -1397,19 +1396,9 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non if mask_balm is None: mask_balm = np.ones_like(wave, dtype=bool) - msgs.test("Mask information:") - msgs.test(f"Number of masked pixels in Nlam_gpm: {np.logical_not(Nlam_gpm).sum()}") - msgs.test(f"Number of masked pixels in mask_balm: {np.logical_not(mask_balm).sum()}") - msgs.test(f"Number of masked pixels in mask_tell: {np.logical_not(mask_tell).sum()}") - - - zeropoint_data, zeropoint_data_gpm = compute_zeropoint(wave, Nlam, Nlam_gpm, flam_true) zeropoint_fitmask = zeropoint_data_gpm & mask_tell & mask_balm - - msgs.test(f"Number of masked pixels in zeropoint_fitmask: {np.logical_not(zeropoint_fitmask).sum()}") - wave_min = wave[wave > 1.0].min() wave_max = wave[wave > 1.0].max() @@ -1418,8 +1407,6 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non lower=lower, upper=upper, groupbadpix=False, grow=0, sticky=True, use_mad=True) - msgs.test(f"Number of masked pixels in pypeitFit.bool_gpm: {np.logical_not(pypeitFit.bool_gpm).sum()}") - zeropoint_poly = pypeitFit.eval(wave) # Robustly characterize the standard deviation for the b-spline fitting. zp_dev_mean, zp_dev_median, zp_std = stats.sigma_clipped_stats(zeropoint_data - zeropoint_poly, np.invert(zeropoint_fitmask), @@ -1434,7 +1421,7 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non zeropoint_clean_gpm = zeropoint_data_gpm.copy() # Polynomial corrections on Hydrogen Recombination lines if (np.sum(zeropoint_fitmask) > 0.5 * len(zeropoint_fitmask)) & polycorrect: - msgs.info("Doing some black magic with the Hydrogen recombination lines") + msgs.info("Replacing bspline fit with polyfit over Hydrogen Recombination line regions") ## Only correct Hydrogen Recombination lines with polyfit in the telluric free region balmer_clean = np.zeros_like(wave, dtype=bool) # Commented out the bluest recombination lines since they are weak for spectroscopic standard stars. @@ -1468,6 +1455,11 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non msgs.warn("Changing input nresln to fix this") nresln = std_res / std_pix + # Output some helpful information for double-checking input params are correct + msgs.info(f" This is the standard pixel: {std_pix:.2f} Å") + msgs.info(f" This is the standard resolution element: {std_res:.2f} Å") + msgs.info(f" Breakpoint spacing: {std_res * nresln:.2f} pixels") + # Fit zeropoint with bspline kwargs_bspline = {'bkspace': std_res * nresln} kwargs_reject = {'maxrej': 5} @@ -1476,23 +1468,12 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non fullbkpt = init_bspline.breakpoints # remove masked regions from breakpoints - msk_bkpt = interpolate.interp1d(wave, zeropoint_clean_gpm, kind='nearest', fill_value='extrapolate')(fullbkpt) + msk_bkpt = interpolate.interp1d(wave, zeropoint_fitmask, kind='nearest', fill_value='extrapolate')(fullbkpt) init_breakpoints = fullbkpt[msk_bkpt > 0.999] # init_breakpoints = fullbkpt msgs.info("Bspline fit on zeropoint. ") - - # TODO: TPEB 2/2/23. The `finite_gpm` is a hack, but the mask sent to - # iterfit is not truly applied. The variable `zeropoint_fitmask` - # should include all points where `zeropoint_clean` is finite, so - # `finite_gpm` shouldn't be required. In `iterfit()`, the `inmask` - # is incorporated into `maskwork`, so should work, but doesn't when - # `zeropoint_clean` contains non-finite values. - - # Do not send non-finite points to the iterfit(), else `bset1` will be np.nan - finite_gpm = np.ones_like(zeropoint_clean, dtype=bool) #np.isfinite(zeropoint_clean) - bset1, bmask = fitting.iterfit(wave[finite_gpm], zeropoint_clean[finite_gpm], invvar=zeropoint_ivar[finite_gpm], - inmask=zeropoint_fitmask[finite_gpm], upper=upper, lower=lower, + bset1, bmask = fitting.iterfit(wave, zeropoint_clean, invvar=zeropoint_ivar, inmask=zeropoint_fitmask, upper=upper, lower=lower, fullbkpt=init_breakpoints, maxiter=maxiter, kwargs_bspline=kwargs_bspline, kwargs_reject=kwargs_reject) zeropoint_bspl, zeropoint_fit_gpm = bset1.value(wave) @@ -1501,24 +1482,26 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non if debug: # Check for calibration plt.figure(1) - plt.plot(wave, zeropoint_data, drawstyle='steps-mid', color='black', label='Zeropoint Data') - plt.plot(wave, zeropoint_bspl, color='cornflowerblue', label='Bspline fit') - plt.plot(wave, zeropoint_poly, color='orchid', label='PolyFit for masking') + plt.plot(wave, zeropoint_data, drawstyle='steps-mid', color='black', label='Zeropoint Data', zorder=1) + plt.plot(wave, zeropoint_bspl, color='cornflowerblue', label='Bspline fit', linewidth=1.0, zorder=2) + plt.plot(wave, zeropoint_poly, color='orchid', label='PolyFit for masking', linewidth=2.0, zorder=0) plt.plot(wave[np.invert(zeropoint_fitmask)], zeropoint_data[np.invert(zeropoint_fitmask)], '+', color='red', markersize=5.0, - label='masked zeropoint') - plt.plot(wave[np.invert(zeropoint_fitmask)], zeropoint_bspl[np.invert(zeropoint_fitmask)], '+', color='red', markersize=5.0, - label='masked zeropoint_bspl_fit') - plt.plot(init_breakpoints, zeropoint_bspl_bkpt, '.', color='cyan', markersize=8.0, label='breakpoints') - plt.plot(init_breakpoints, np.interp(init_breakpoints, wave, zeropoint_data), '.', color='green', + label='masked zeropoint_fitmask', zorder=4) + plt.plot(wave[np.invert(zeropoint_fit_gpm)], zeropoint_bspl[np.invert(zeropoint_fit_gpm)], 'x', color='pink', markersize=5.0, + label='masked zeropoint_bspl_fit', zorder=3) + plt.plot(init_breakpoints, zeropoint_bspl_bkpt, '.', color='cyan', markersize=8.0, label='breakpoints', zorder=10) + plt.plot(init_breakpoints, np.interp(init_breakpoints, wave, zeropoint_data), '.', color='green', zorder=15, markersize=4.0, label='data interpolated onto breakpoints') plt.plot(wave, 1.0 / np.sqrt(zeropoint_ivar), color='orange', label='sigma used for fits') plt.legend() - plt.xlabel('Wavelength [ang]') + plt.xlabel('Wavelength (Angstroms)') + plt.ylabel('Zeropoint (AB mag)') med_filt_mask = zeropoint_data_gpm & np.isfinite(zeropoint_data) zp_med_filter = utils.fast_running_median(zeropoint_data[med_filt_mask], 11) plt.ylim(0.95 * zp_med_filter.min(), 1.05 * zp_med_filter.max()) plt.title('Bspline fit') + plt.legend(fancybox=True, shadow=True) plt.show() if ((np.sum(zeropoint_fitmask) > 0.5 * len(zeropoint_fitmask)) & polycorrect): @@ -1537,7 +1520,8 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non # TODO Should we return the bspline fitmask here? - return zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm + # TODO Shouldn't we return `zeropoint_fitmask` INSTEAD of `zeropoint_data_gpm`? (TPEB, 2/16/23) + return zeropoint_data, zeropoint_fitmask, zeropoint_fit, zeropoint_fit_gpm def load_filter_file(filter): diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 6fd1382688..e23e6dbcbb 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1794,7 +1794,7 @@ def __init__(self, balm_mask_wid=None, std_file=None, std_obj_id=None, sensfunc= defaults['nresln'] = 20 dtypes['nresln'] = [int, float] - descr['nresln'] = 'Parameter governing the spacing of the bspline breakpoints.' + descr['nresln'] = 'Parameter governing the spacing of the bspline breakpoints in terms of number of resolution elements.' defaults['resolution'] = 3000.0 From 7bca426040d7f1831ac00d7c19d69b758cebd8e1 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Tue, 21 Feb 2023 12:53:13 -0700 Subject: [PATCH 068/308] Adding more useful FITS keywords to downstream files modified: pypeit/scripts/sensfunc.py modified: pypeit/spectrographs/spectrograph.py --- pypeit/scripts/sensfunc.py | 5 ++++- pypeit/spectrographs/spectrograph.py | 2 +- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/pypeit/scripts/sensfunc.py b/pypeit/scripts/sensfunc.py index 9991cb25f3..fc1c1570f1 100644 --- a/pypeit/scripts/sensfunc.py +++ b/pypeit/scripts/sensfunc.py @@ -111,7 +111,10 @@ def main(args): # Construct a primary FITS header that includes the spectrograph's # config keys for inclusion in the output sensfunc file primary_hdr = io.initialize_header() - add_keys = ['PYP_SPEC'] + spectrograph.configuration_keys() + add_keys = ( + ['PYP_SPEC', 'DATE-OBS', 'TELESCOP', 'INSTRUME', 'DETECTOR'] + + spectrograph.configuration_keys() + ) for key in add_keys: if key.upper() in header.keys(): primary_hdr[key.upper()] = header[key.upper()] diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 9db914265e..11f3dcefbf 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -377,7 +377,7 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, subheader[key] = row_fitstbl[key] # The following are pulled from the original header, if available - header_cards = ['INSTRUME', 'DETECTOR'] + header_cards = ['INSTRUME', 'DETECTOR', 'DATE-OBS'] if extra_header_cards is not None: header_cards += extra_header_cards # For specDB and more for card in header_cards: From abf47d21d77f50446cfca797201e24087d161f14 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 14 Mar 2023 14:35:21 -0700 Subject: [PATCH 069/308] first attempt at making pypeit_show_2dspec backwards compatible --- pypeit/scripts/show_2dspec.py | 248 ++++++++++++++++++++++------------ 1 file changed, 159 insertions(+), 89 deletions(-) diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index a058b9d68f..4beaea868e 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -19,6 +19,8 @@ from pypeit import specobjs from pypeit import io from pypeit import utils +from pypeit import __version__ +from pypeit.pypmsgs import PypeItError from pypeit.display import display from pypeit.images.imagebitmask import ImageBitMask @@ -72,40 +74,39 @@ class Show2DSpec(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): parser = super().get_parser(description='Display sky subtracted, spec2d image in a ' - 'Ginga viewer. Run above the Science/ folder', + 'ginga viewer.', width=width) - parser.add_argument('file', type = str, default = None, help = 'PypeIt spec2d file') - parser.add_argument('--list', default=False, help='List the extensions only?', - action='store_true') - # User can provide only '--det' or '--detname', not both + parser.add_argument('file', type=str, default=None, help='Path to a PypeIt spec2d file') + parser.add_argument('--list', default=False, action='store_true', + help='List the extensions only?') parser.add_argument('--det', default='1', type=str, help='Detector name or number. If a number, the name is constructed ' 'assuming the reduction is for a single detector. If a string, ' 'it must match the name of the detector object (e.g., DET01 for ' 'a detector, MSC01 for a mosaic).') - parser.add_argument("--spat_id", type=int, default=None, + parser.add_argument('--spat_id', type=int, default=None, help='Restrict plotting to this slit (PypeIt ID notation)') - parser.add_argument("--maskID", type=int, default=None, + parser.add_argument('--maskID', type=int, default=None, help='Restrict plotting to this maskID') parser.add_argument('--showmask', default=False, help='Overplot masked pixels', action='store_true') - parser.add_argument('--removetrace', default=False, action="store_true", + parser.add_argument('--removetrace', default=False, action='store_true', help='Do not overplot traces in the skysub, sky_resid, and resid ' 'channels') parser.add_argument('--embed', default=False, action='store_true', help='Upon completion embed in ipython shell') parser.add_argument('--ignore_extract_mask', default=False, action='store_true', help='Ignore the extraction mask') - parser.add_argument("--sensfunc", type=str, default=None, + parser.add_argument('--sensfunc', type=str, default=None, help='Pass in a sensfunc to display the sky-subtracted image with a ' 'flux calibration') parser.add_argument('--channels', type=str, help='Only show a subset of the channels (0-indexed), e.g. 1,3') parser.add_argument('--prefix', type=str, default='', - help="Channel name prefix [lets you display more than one set]") + help='Channel name prefix [lets you display more than one set]') parser.add_argument('--no_clear', dest='clear', default=True, - action="store_false", + action='store_false', help='Do *not* clear all existing tabs') parser.add_argument('-v', '--verbosity', type=int, default=2, help='Verbosity level between 0 [none] and 2 [all]') @@ -119,6 +120,9 @@ def main(args): io.fits_open(args.file).info() return + # Setup for PypeIt imports + msgs.reset(verbosity=args.verbosity) + # Parse the detector name try: det = int(args.det) @@ -127,77 +131,153 @@ def main(args): else: detname = DetectorContainer.get_name(det) - # Load it up -- NOTE WE ALLOW *OLD* VERSIONS TO GO FORTH - spec2DObj = spec2dobj.Spec2DObj.from_file(args.file, detname, chk_version=False) - # Use the appropriate class to get the "detector" number - det = spec2DObj.detector.parse_name(detname) - - # Setup for PypeIt imports - msgs.reset(verbosity=args.verbosity) - # Find the set of channels to show - if args.channels is not None: - show_channels = [int(item) for item in args.channels.split(',')] - else: - show_channels = [0,1,2,3] + show_channels = [0,1,2,3] if args.channels is None \ + else [int(item) for item in args.channels.split(',')] - # Grab the slit edges - slits = spec2DObj.slits - if spec2DObj.sci_spat_flexure is not None: - msgs.info("Offseting slits by {}".format(spec2DObj.sci_spat_flexure)) - all_left, all_right, mask = slits.select_edges(flexure=spec2DObj.sci_spat_flexure) - - # TODO -- This may be too restrictive, i.e. ignore BADFLTCALIB?? - gpm = mask == 0 + # Try to read the Spec2DObj using the current datamodel, but allowing + # for the datamodel version to be different + try: + spec2DObj = spec2dobj.Spec2DObj.from_file(args.file, detname, chk_version=False) + except PypeItError: + try: + # Try to get the pypeit version used to write this file + file_pypeit_version = fits.getval(args.file, 'VERSPYP', 0) + except KeyError: + file_pypeit_version = '*unknown*' + msgs.warn(f'Your installed version of PypeIt ({__version__}) cannot be used to parse ' + f'{args.file}, which was reduced using version {file_pypeit_version}. You ' + 'are strongly encouraged to re-reduce your data using this (or, better yet, ' + 'the most recent) version of PypeIt. Script will try to parse only the ' + 'relevant bits from the spec2d file and continue (possibly with more ' + 'limited functionality).') + spec2DObj = None + + if spec2DObj is None: + # Try to get the relevant elements directly from the fits file + with io.fits_open(args.file) as hdu: + names = [h.name for h in hdu] + has_det = any([detname in n for n in names]) + if not has_det: + msgs.error(f'Provided file has no extensions including {detname}.') + for ext in ['SCIIMG', 'SKYMODEL', 'OBJMODEL', 'IVARMODEL']: + _ext = f'{detname}-{ext}' + if _ext not in names: + msgs.error(f'{args.file} missing extension {_ext}.') + + sciimg = hdu[f'{detname}-SCIIMG'].data + skymodel = hdu[f'{detname}-SKYMODEL'].data + objmodel = hdu[f'{detname}-OBJMODEL'].data + ivarmodel = hdu[f'{detname}-IVARMODEL'].data + _ext = f'{detname}-BPMMASK' + bpmmask = hdu[_ext].data if _ext in names else None + _ext = f'{detname}-WAVEIMG' + waveimg = hdu[_ext].data if _ext in names else None + + img_gpm = np.ones(sciimg.shape, dtype=bool) if bpmmask is None else bpmmask == 0 + model_gpm = img_gpm.copy() + + _ext = f'{detname}-SLITS' + if _ext not in names: + msgs.warn(f'{args.file} missing extension {_ext}; cannot show slit edges.') + else: + slit_columns = hdu[_ext].columns.names + slit_spat_id = hdu[_ext].data['spat_id'] if 'spat_id' in slit_columns else None + slit_left = hdu[_ext].data['left_tweak'].T if 'left_tweak' in slit_columns \ + else (hdu[_ext].data['left_init'].T if 'left_init' in slit_columns + else None) + slit_right = hdu[_ext].data['right_tweak'].T if 'right_tweak' in slit_columns \ + else (hdu[_ext].data['right_init'].T if 'right_init' in slit_columns + else None) + slit_mask = hdu[_ext].data['mask'] if 'mask' in slit_columns else None + slit_mask_id = hdu[_ext].data['maskdef_id'] \ + if 'maskdef_id' in slit_columns else None + if 'SCI_SPAT_FLEXURE' in hdu[f'{detname}-SCIIMG'].header \ + and slit_left is not None and slit_right is not None: + slit_left += float(hdu[f'{detname}-SCIIMG'].header['SCI_SPAT_FLEXURE']) + slit_right += float(hdu[f'{detname}-SCIIMG'].header['SCI_SPAT_FLEXURE']) + msgs.info("Offseting slits by {}".format(sci_spat_flexure)) + pypeline = hdu[f'{detname}-SCIIMG'].header['PYPELINE'] \ + if 'PYPELINE' in hdu[f'{detname}-SCIIMG'].header else None + if pypeline in ['MultiSlit', 'IFU']: + slit_slid_IDs = slit_spat_id + elif pypeline == 'Echelle': + slit_slid_IDs = hdu[_ext].data['ech_order'] \ + if 'ech_order' in slit_columns else None + else: + slit_slid_IDs = None + + # Ignore any spec1d file + sobjs = None - # Restrict on spat_id or maskid? - if args.spat_id is not None: - gpm &= slits.spat_id == args.spat_id - elif args.maskID is not None: - gpm &= slits.maskdef_id == args.maskID - - left = all_left[:, gpm] - right = all_right[:, gpm] - slid_IDs = spec2DObj.slits.slitord_id[gpm] - maskdef_id = None if spec2DObj.slits.maskdef_id is None \ - else spec2DObj.slits.maskdef_id[gpm] - - # Object traces from spec1d file - spec1d_file = args.file.replace('spec2d', 'spec1d') - if args.file[-2:] == 'gz': - spec1d_file = spec1d_file[:-3] - if os.path.isfile(spec1d_file): - sobjs = specobjs.SpecObjs.from_fitsfile(spec1d_file, chk_version=False) else: - sobjs = None - msgs.warn('Could not find spec1d file: {:s}'.format(spec1d_file) + msgs.newline() + - ' No objects were extracted.') + # Use the parsed SpecObjs object + sciimg = spec2DObj.sciimg + skymodel = spec2DObj.skymodel + objmodel = spec2DObj.objmodel + ivarmodel = spec2DObj.ivarmodel + bpmmask = spec2DObj.bpmmask + waveimg = spec2DObj.waveimg + + img_gpm = spec2DObj.select_flag(invert=True) + model_gpm = img_gpm.copy() + if args.ignore_extract_mask: + model_gpm |= spec2DObj.select_flag(flag='EXTRACT') + + if spec2DObj.sci_spat_flexure is not None: + msgs.info(f'Offseting slits by {spec2DObj.sci_spat_flexure}') + slit_left, slit_right, slit_mask \ + = spec2DObj.slits.select_edges(flexure=spec2DObj.sci_spat_flexure) + slit_spat_id = spec2DObj.slits.spat_id + slit_mask_id = spec2DObj.slits.maskdef_id + slit_slid_IDs = spec2DObj.slits.slitord_id + + # Object traces from spec1d file + spec1d_file = args.file.replace('spec2d', 'spec1d') + if args.file[-2:] == 'gz': + spec1d_file = spec1d_file[:-3] + if os.path.isfile(spec1d_file): + sobjs = specobjs.SpecObjs.from_fitsfile(spec1d_file, chk_version=False) + else: + sobjs = None + msgs.warn('Could not find spec1d file: {:s}'.format(spec1d_file) + msgs.newline() + + ' No objects were extracted.') + + # TODO: This may be too restrictive, i.e. ignore BADFLTCALIB?? + slit_gpm = slit_mask == 0 + # Restrict on spat_id or maskid? + if slit_gpm is not None: + if slit_spat_id is not None and args.spat_id is not None: + slit_gpm &= slit_spat_id == args.spat_id + # TODO: Should this be 'elif'? Why not just 'if'? I.e., are + # spat_id and maskdef_id mutually exclusive? + elif slit_mask_id is not None and args.maskID is not None: + slit_gpm &= slit_mask_id == args.maskID + + left = None if slit_left is None else slit_left[:, slit_gpm] + right = None if slit_right is None else slit_right[:, slit_gpm] + slid_IDs = None if slit_slid_IDs is None else slit_slid_IDs[slit_gpm] + maskdef_id = None if slit_mask_id is None else slit_mask_id[slit_gpm] + + # Connect to an open ginga window, or open a new one display.connect_to_ginga(raise_err=True, allow_new=True) - # Now show each image to a separate channel - # Show the bitmask? - if args.showmask: - viewer, ch_mask = display.show_image(spec2DObj.bpmmask, chname='MASK', - waveimg=spec2DObj.waveimg, + if args.showmask and bpmmask is not None: + viewer, ch_mask = display.show_image(bpmmask, chname='MASK', waveimg=waveimg, clear=args.clear) channel_names = [] # SCIIMG if 0 in show_channels: - image = spec2DObj.sciimg # Processed science image - gpm = spec2DObj.select_flag(invert=True) - mean, med, sigma = sigma_clipped_stats(image[gpm], sigma_lower=5.0, sigma_upper=5.0) + mean, med, sigma = sigma_clipped_stats(sciimg[img_gpm], sigma_lower=5.0, sigma_upper=5.0) cut_min = mean - 1.0 * sigma cut_max = mean + 4.0 * sigma chname_sci = args.prefix+f'sciimg-{detname}' # Clear all channels at the beginning - viewer, ch_sci = display.show_image(image, chname=chname_sci, - waveimg=spec2DObj.waveimg, - clear=args.clear, - cuts=(cut_min, cut_max)) - + viewer, ch_sci = display.show_image(sciimg, chname=chname_sci, waveimg=waveimg, + clear=args.clear, cuts=(cut_min, cut_max)) if sobjs is not None: show_trace(sobjs, detname, viewer, ch_sci) display.show_slits(viewer, ch_sci, left, right, slit_ids=slid_IDs, @@ -206,20 +286,17 @@ def main(args): # SKYSUB if 1 in show_channels: - gpm = spec2DObj.select_flag(invert=True) - if args.ignore_extract_mask: - gpm |= spec2DObj.select_flag(flag='EXTRACT') - - image = (spec2DObj.sciimg - spec2DObj.skymodel) * gpm.astype(float) - mean, med, sigma = sigma_clipped_stats(image[gpm], sigma_lower=5.0, sigma_upper=5.0) + image = (sciimg - skymodel) * model_gpm.astype(float) + mean, med, sigma = sigma_clipped_stats(image[model_gpm], sigma_lower=5.0, + sigma_upper=5.0) cut_min = mean - 1.0 * sigma cut_max = mean + 4.0 * sigma chname_skysub = args.prefix+f'skysub-{detname}' viewer, ch_skysub = display.show_image(image, chname=chname_skysub, - waveimg=spec2DObj.waveimg, - cuts=(cut_min, cut_max), wcs_match=True) + waveimg=waveimg, cuts=(cut_min, cut_max), + wcs_match=True) if not args.removetrace and sobjs is not None: - show_trace(sobjs, detname, viewer, ch_skysub) + show_trace(sobjs, detname, viewer, ch_skysub) display.show_slits(viewer, ch_skysub, left, right, slit_ids=slid_IDs, maskdef_ids=maskdef_id) channel_names.append(chname_skysub) @@ -247,16 +324,12 @@ def main(args): if 2 in show_channels: # the block below is repeated because if showing this channel but # not channel 1 it will crash - gpm = spec2DObj.select_flag(invert=True) - if args.ignore_extract_mask: - gpm |= spec2DObj.select_flag(flag='EXTRACT') chname_skyresids = args.prefix+f'sky_resid-{detname}' - image = (spec2DObj.sciimg - spec2DObj.skymodel) * np.sqrt(spec2DObj.ivarmodel) \ - * gpm.astype(float) - viewer, ch_sky_resids = display.show_image(image, chname_skyresids, - waveimg=spec2DObj.waveimg, cuts=(-5.0, 5.0)) + image = (sciimg - skymodel) * np.sqrt(ivarmodel) * model_gpm.astype(float) + viewer, ch_sky_resids = display.show_image(image, chname_skyresids, waveimg=waveimg, + cuts=(-5.0, 5.0)) if not args.removetrace and sobjs is not None: - show_trace(sobjs, detname, viewer, ch_sky_resids) + show_trace(sobjs, detname, viewer, ch_sky_resids) display.show_slits(viewer, ch_sky_resids, left, right, slit_ids=slid_IDs, maskdef_ids=maskdef_id) channel_names.append(chname_skyresids) @@ -265,14 +338,11 @@ def main(args): if 3 in show_channels: chname_resids = args.prefix+f'resid-{detname}' # full model residual map - gpm = spec2DObj.select_flag(invert=True) - image = (spec2DObj.sciimg - spec2DObj.skymodel - spec2DObj.objmodel) \ - * np.sqrt(spec2DObj.ivarmodel) * gpm.astype(float) - viewer, ch_resids = display.show_image(image, chname=chname_resids, - waveimg=spec2DObj.waveimg, cuts=(-5.0, 5.0), - wcs_match=True) + image = (sciimg - skymodel - objmodel) * np.sqrt(ivarmodel) * img_gpm.astype(float) + viewer, ch_resids = display.show_image(image, chname=chname_resids, waveimg=waveimg, + cuts=(-5.0, 5.0), wcs_match=True) if not args.removetrace and sobjs is not None: - show_trace(sobjs, detname, viewer, ch_resids) + show_trace(sobjs, detname, viewer, ch_resids) display.show_slits(viewer, ch_resids, left, right, slit_ids=slid_IDs, maskdef_ids=maskdef_id) channel_names.append(chname_resids) From d88925ea8667db2cc69432e6e432cc13d9c25586 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Fri, 17 Mar 2023 15:03:14 +0000 Subject: [PATCH 070/308] kcwi --- pypeit/flatfield.py | 2 +- pypeit/spectrographs/keck_kcwi.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index f460aca43f..d533751cab 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1388,7 +1388,7 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Mask the edges and fit gpmfit = gpm[cut] - gpmfit[np.where((xpos < 0.05)|(xpos > 0.95))] = False + gpmfit[np.where((xpos < 0.1)|(xpos > 0.9))] = False fullfit = fitting.robust_fit(xpos, normed[cut], np.array([3, 6]), x2=ypos, weights=normed[cut], in_gpm=gpmfit, function='legendre2d', upper=2, lower=2, maxdev=1.0, minx=0.0, maxx=1.0, minx2=0.0, maxx2=1.0) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index f28aca965e..1e0899b88d 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -985,4 +985,5 @@ def sinfunc2d(x, amp, scl, phase, wavelength, angle): phase, angle = 0.0, -45.34 # No phase, and a decent guess at the angle p0 = [amp, scale, phase, wavelength, angle] popt, pcov = curve_fit(sinfunc2d, (xx[gpmask], yy[gpmask]), det_resp[gpmask], p0=p0) + embed() return sinfunc2d((xx, yy), *popt) From 113e75f686fea4e96e562db307473836a00e8c45 Mon Sep 17 00:00:00 2001 From: rcooke-ast Date: Fri, 17 Mar 2023 15:03:59 +0000 Subject: [PATCH 071/308] kcwi --- pypeit/flatfield.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index d533751cab..e91d178627 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1388,6 +1388,7 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Mask the edges and fit gpmfit = gpm[cut] + # TODO :: cut on pixels and fraction (choose the minimum). gpmfit[np.where((xpos < 0.1)|(xpos > 0.9))] = False fullfit = fitting.robust_fit(xpos, normed[cut], np.array([3, 6]), x2=ypos, weights=normed[cut], in_gpm=gpmfit, function='legendre2d', upper=2, lower=2, maxdev=1.0, From 6e1cbc51a07294bb2691a30291a31092f67ae8f1 Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 17 Mar 2023 20:46:33 +0000 Subject: [PATCH 072/308] fix bad commit --- pypeit/flatfield.py | 2 +- pypeit/spectrographs/keck_kcwi.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index e91d178627..2296c71b6f 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1389,7 +1389,7 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Mask the edges and fit gpmfit = gpm[cut] # TODO :: cut on pixels and fraction (choose the minimum). - gpmfit[np.where((xpos < 0.1)|(xpos > 0.9))] = False + gpmfit[np.where((xpos < 0.05) | (xpos > 0.95))] = False fullfit = fitting.robust_fit(xpos, normed[cut], np.array([3, 6]), x2=ypos, weights=normed[cut], in_gpm=gpmfit, function='legendre2d', upper=2, lower=2, maxdev=1.0, minx=0.0, maxx=1.0, minx2=0.0, maxx2=1.0) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 1e0899b88d..f28aca965e 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -985,5 +985,4 @@ def sinfunc2d(x, amp, scl, phase, wavelength, angle): phase, angle = 0.0, -45.34 # No phase, and a decent guess at the angle p0 = [amp, scale, phase, wavelength, angle] popt, pcov = curve_fit(sinfunc2d, (xx[gpmask], yy[gpmask]), det_resp[gpmask], p0=p0) - embed() return sinfunc2d((xx, yy), *popt) From 67370aea9a996dc42aa6aaf89f255bf8f50d8a91 Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 17 Mar 2023 20:52:55 +0000 Subject: [PATCH 073/308] improved edge rejection --- pypeit/flatfield.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index e91d178627..445028e631 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1388,8 +1388,11 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Mask the edges and fit gpmfit = gpm[cut] - # TODO :: cut on pixels and fraction (choose the minimum). - gpmfit[np.where((xpos < 0.1)|(xpos > 0.9))] = False + # Trim by 5% of the slit length, or at least 3 pixels + xfrac = 0.05 + if xfrac * slitlen < 3: + xfrac = 3/slitlen + gpmfit[np.where((xpos < xfrac) | (xpos > 1-xfrac))] = False fullfit = fitting.robust_fit(xpos, normed[cut], np.array([3, 6]), x2=ypos, weights=normed[cut], in_gpm=gpmfit, function='legendre2d', upper=2, lower=2, maxdev=1.0, minx=0.0, maxx=1.0, minx2=0.0, maxx2=1.0) From 59489be4c63d01d669e80c4fc73cf3d9ba8fc26b Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 20 Mar 2023 09:46:41 -0700 Subject: [PATCH 074/308] arcimage works --- pypeit/calibframe.py | 347 ++++++++++++++++++++++++++++++ pypeit/coadd1d.py | 2 +- pypeit/core/wavecal/wv_fitting.py | 5 +- pypeit/datamodel.py | 204 ++++++++++-------- pypeit/edgetrace.py | 1 - pypeit/flatfield.py | 5 +- pypeit/images/buildimage.py | 63 ++---- pypeit/images/pypeitimage.py | 194 +++++++++++++---- pypeit/io.py | 32 ++- pypeit/masterframe.py | 139 ------------ pypeit/scripts/show_2dspec.py | 1 - pypeit/tests/test_arcimage.py | 38 ++-- pypeit/tests/test_calibframe.py | 153 +++++++++++++ pypeit/tests/test_masterframe.py | 40 ---- pypeit/tests/test_pypeitimage.py | 75 ++++++- pypeit/tests/tstutils.py | 1 - 16 files changed, 899 insertions(+), 401 deletions(-) create mode 100644 pypeit/calibframe.py delete mode 100644 pypeit/masterframe.py create mode 100644 pypeit/tests/test_calibframe.py delete mode 100644 pypeit/tests/test_masterframe.py diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py new file mode 100644 index 0000000000..eb544923f5 --- /dev/null +++ b/pypeit/calibframe.py @@ -0,0 +1,347 @@ +""" +Implements the calibration frame base class. + +.. include common links, assuming primary doc root is up one directory +.. include:: ../include/links.rst + +""" +from pathlib import Path + +from IPython import embed + +import numpy as np + +from astropy.io import fits + +from pypeit import msgs +from pypeit import datamodel +from pypeit import io + +class CalibFrame(datamodel.DataContainer): + """ + An abstract class for calibration frames. The primary purpose of the class + is to set the naming scheme for all processed calibration files. + """ + + calib_type = None + """ + The type of the calibration frame, primarily used to set the name of the + output file. + """ + + calib_file_format = 'fits' + """ + The extension and file format of the output file. Should be ``'fits'`` or + ``'fits.gz'`` (for gzipped output). + """ + + # TODO: Add an astropy.Table with the metadata? + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name')} + """ + Default datamodel for any :class:`CalibFrame`. Derived classes should + instantiate their datamodels by first inheriting from the base class. E.g.: + + .. code-block:: python + + class ArcFrame(CalibFrame): + datamodel = {**CalibFrame.datamodel, ...} + + """ + + internals = ['calib_id', 'calib_key', 'calib_dir'] + """ + Base class internals. The :attr:`internals` of any derived class should + also include these. E.g.: + + .. code-block:: python + + class ArcFrame(CalibFrame): + internals = CalibFrame.internals + ['arc_specific_internal'] + + """ + + def _validate(self): + """ + Validation method that is executed every time a :class:`CalibFrame` is + instantiated. + + Ensures: + + - :attr:`calib_type` and :attr:`datamodel` are defined, and + + - any members of :attr:`datamodel` of the base class are also + members of the derived class. + + """ + if self.calib_type is None: + msgs.error(f'CODING ERROR: Must define calib_type for {self.__class__.__name__}.') + if self.datamodel is None: + msgs.error(f'CODING ERROR: datamodel cannot be None for {self.__class__.__name__}.') + for key in CalibFrame.datamodel.keys(): + if key not in self.keys(): + msgs.error(f'CODING ERROR: datamodel for {self.__class__.__name__} must inherit ' + 'all datamodel components from CalibFrame.datamodel.') + + def set_paths(self, odir, setup, calib_id, detname): + """ + Set the internals necessary to construct the IO path for the calibration + file. + + Nothing is returned; this function is used to set :attr:`calib_dir` and + :attr:`calib_key`. + + Args: + odir (:obj:`str`, `Path`_): + Output directory for the processed calibration frames + setup (:obj:`str`): + The string identifier for the instrument setup/configuration; + see :func:`~pypeit.metadata.PypeItMetaData.unique_configurations`. + calib_id (:obj:`list`, :obj:`str`, :obj:`int`): + Identifiers for one or more calibration groups for this + calibration frame. The individual string and the string + elements of the list must be single numbers. The only exception + is the string 'all'. + detname (:obj:`str`): + The identifier used for the detector or detector mosaic for the + relevant instrument; see + :func:`~pypeit.spectrograph.spectrograph.Spectrograph.get_det_name`. + """ + self.calib_dir = Path(odir).resolve() + # TODO: Keep this, or throw an error if the directory doesn't exist instead. + if not self.calib_dir.exists(): + self.calib_dir.mkdir(parents=True) + # TODO: Would like to transition to using Path objects instead of strings! + self.calib_dir = str(self.calib_dir) + self.calib_id = CalibFrame.ingest_calib_id(calib_id) + self.calib_key = self.construct_calib_key(setup, self.calib_id, detname) + + # NOTE: Only need to overload to_file because the only thing special about + # CalibFrame is that the paths are pre-defined. + def to_file(self, **kwargs): + """ + Overrides the base-class function, forcing the naming convention. + + Args: + **kwargs (optional): + Passed directly to + :func:`~pypeit.datamodel.DataContainer.to_file`. One of the + keyword arguments *cannot* be ``'filename'``. The filenames for + :class:`CalibFrame` objects are predefined. If ``'hdr'`` is a + provided keyword, the CalibFrame-specific keywords are added + using :func:`build_header` and passed to on to + :func:`~pypeit.datamodel.DataContainer.to_file`. + """ + if 'hdr' in kwargs: + hdr = self.build_header(hdr=kwargs['hdr']) + kwargs.pop('hdr') + else: + hdr = self.build_header() + # TODO: This used to set overwrite=True, but overwrite should be part of + # kwargs. The default of DataContainer is overwrite=False, so I need to + # make sure that the behavior is maintained. + super().to_file(self.construct_file_name(), hdr=hdr, **kwargs) + + @classmethod + def from_hdu(cls, hdu, chk_version=True, **kwargs): + """ + Instantiate the object from an HDU extension. + + Args: + hdu (`astropy.io.fits.HDUList`_, `astropy.io.fits.ImageHDU`_, `astropy.io.fits.BinTableHDU`_): + The HDU(s) with the data to use for instantiation. + chk_version (:obj:`bool`, optional): + If True, raise an error if the datamodel version or + type check failed. If False, throw a warning only. + **kwargs: + Passed directly to :func:`~pypeit.datamodel.DataContainer._parse`. + """ + d, dm_version_passed, dm_type_passed, parsed_hdus = cls._parse(hdu, **kwargs) + # Check version and type? + if not dm_type_passed: + msgs.error(f'The HDU(s) cannot be parsed by a {cls.__name__} object!') + if not dm_version_passed: + _f = msgs.error if chk_version else msgs.warn + _f(f'Current version of {cls.__name__} object in code ({cls.version}) ' + 'does not match version used to write your HDU(s)!') + + # Instantiate + self = cls.from_dict(d=d) + + # Calibration frame attributes + # NOTE: If multiple HDUs are parsed, this assumes that the information + # necessary to set all the calib internals is always in *every* header. + # BEWARE! + hdr_to_parse = hdu[parsed_hdus[0]].header + # TODO: Consider making the next two lines a function so that they don't + # need to be repeated in PypeItCalibrationImage. + self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) + self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID'].split(',')) + # Check that the parsed HDUs are for the correct calibration frame type. + # TODO: This is superfluous because the _parse statement above will + # already check that the datamodel type passed. I.e., we allow + # circumventing the datamodel version, but we never allow circumventing + # the datamodel *type*. +# if 'CALIBTYP' in hdr_to_parse: +# if hdr_to_parse['CALIBTYP'] != cls.calib_type: +# msgs.error(f'Primary header of {_ifile} does not have the correct calibration ' +# f'frame type! Found {hdr_to_parse["CALIBTYP"]}, but expected ' +# f'{cls.calib_type}.') + + return self + + @staticmethod + def parse_key_dir(inp, from_filename=False): + """ + Grab the identifying key and directory by parsing the input. + + Args: + inp (:obj:`str`, `astropy.io.fits.Header`_): + Either a filename or a Header of a FITS file + from_filename (:obj:`bool`, optional): + If True, ``inp`` must be a string providing the calibration file + name, which must follow the expected naming convention. If + False, ``inp`` must be an `astropy.io.fits.Header`_ or a file + from which a header can be read. + + Returns: + :obj:`tuple`: Two strings with the identifying key and directory of + the processed calibration frame. + """ + if from_filename: + path = Path(inp).resolve() + return '_'.join(path.name.split('.')[0].split('_')[1:]), str(path.parent) + + if isinstance(inp, str): + with io.fits_open(inp) as hdu: + ext = None + for h in hdu: + if 'CALIBKEY' in h.header and 'CALIBDIR' in h.header: + ext = h.name + break + if ext is None: + msgs.error(f'None of the headers in {inp} have CALIBKEY or CALIBDIR keywords!') + return hdu[ext].header['CALIBKEY'], hdu[ext].header['CALIBDIR'] + + if isinstance(inp, fits.Header): + if 'CALIBKEY' not in inp or 'CALIBDIR' not in inp: + msgs.error('Header does not include CALIBKEY or CALIBDIR.') + return inp['CALIBKEY'], inp['CALIBDIR'] + + msgs.error('Input object must have type str or astropy.io.fits.Header, not {type(inp)}.') + + @staticmethod + def ingest_calib_id(calib_id): + """ + Ingest the calibration group IDs, converting the input into a list of strings. + + Args: + calib_id (:obj:`list`, :obj:`str`, :obj:`int`): + Identifiers for one or more calibration groups for this + calibration frame. The individual string and the string + elements of the list must be single numbers. The only exception + is the string 'all'. + + Returns: + :obj:`list`: List of string representations of single calibration + groups. + """ + _calib_id = calib_id if isinstance(calib_id, list) else [calib_id] + _calib_id = np.unique([str(c) for c in _calib_id]) + if 'all' in _calib_id and len(_calib_id) != 1: + msgs.warn(f'Calibration groups set to {_calib_id}, resetting to simply "all".') + _calib_id = np.array(['all']) + for c in _calib_id: + if c == 'all': + continue + try: + _c = int(c) + except ValueError: + # TODO: Not sure this is strictly necessary + msgs.error(f'Invalid calibration group {c}; must be convertible to an integer.') + return _calib_id.tolist() + + @staticmethod + def construct_calib_key(setup, calib_id, detname): + """ + Construct the identifier used for a given set of calibrations. + + The identifier is the combination of the configuration, the calibration + group, and the detector. The configuration ID is the same as included + in the configuration column (A, B, C, etc), the calibration group is the + same as the calibration bit number, and the detector identifier. + + Args: + setup (:obj:`str`): + The string identifier for the instrument setup/configuration; + see :func:`~pypeit.metadata.PypeItMetaData.unique_configurations`. + calib_id (:obj:`list`, :obj:`str`, :obj:`int`): + Identifiers for one or more calibration groups for this + calibration frame. The individual string and the string + elements of the list must be single numbers. The only exception + is the string 'all'. + detname (:obj:`str`): + The identifier used for the detector or detector mosaic for the + relevant instrument; see + :func:`~pypeit.spectrograph.spectrograph.Spectrograph.get_det_name`. + + Returns: + :obj:`str`: Calibration identifier. + """ + _calib_id = CalibFrame.ingest_calib_id(calib_id) + return f'{setup}_{"-".join(_calib_id)}_{detname}' + + # TODO: Change the name of this to get_path or something + def construct_file_name(self, full=True): + """ + Generate a calibration frame filename + + Args: + full (:obj:`bool`, optional): + If True, return the full path. If False, only return the file + name. + + Returns: + :obj:`str`: File path or file name + """ + if None in [self.calib_type, self.calib_key, self.calib_file_format]: + msgs.error(f'CODING ERROR: Instance of {self.__class__.__name__} does not have all ' + 'the attributes needed to construct its filename.') + filename = f'{self.calib_type}_{self.calib_key}.{self.calib_file_format}' + if not full: + return filename + if self.calib_dir is None: + msgs.error(f'CODING ERROR: Instance of {self.__class__.__name__} has not defined the ' + 'directory for the calibration files.') + return str(Path(self.calib_dir).resolve() / filename) + + def build_header(self, hdr=None): + """ + Initialize the calibration frame header. + + This builds a generic header that is written to all PypeIt calibration + frames. + + Args: + hdr (`astropy.io.fits.Header`, optional): + Header object to update. The object is modified in-place and + also returned. If None, an empty header is instantiated, edited, + and returned. + + Returns: + `astropy.io.fits.Header`_: The initialized (or edited) fits header. + """ + # Standard init + _hdr = io.initialize_header(hdr) + + # Save the calibration frame type and key and version, in case the file + # name is changed. + _hdr['CALIBTYP'] = (self.calib_type, 'PypeIt: Calibration frame type') + _hdr['CALIBVER'] = (self.version, 'PypeIt: Calibration datamodel version') + _hdr['CALIBDIR'] = (self.calib_dir, 'PypeIt: Calibration file directory') + _hdr['CALIBKEY'] = (self.calib_key, 'PypeIt: Calibration key') + _hdr['CALIBID'] = (','.join(self.calib_id), 'PypeIt: Calibration key') + + # Return + return _hdr + + diff --git a/pypeit/coadd1d.py b/pypeit/coadd1d.py index 30dad70beb..4689e68819 100644 --- a/pypeit/coadd1d.py +++ b/pypeit/coadd1d.py @@ -132,7 +132,7 @@ def save(self, coaddfile, telluric=None, obj_model=None, overwrite=True): """ self.coaddfile = coaddfile wave_gpm = self.wave_coadd > 1.0 - # Generate the DataContainer + # Generate the spectrum container object onespec = OneSpec(wave=self.wave_coadd[wave_gpm], wave_grid_mid=self.wave_grid_mid[wave_gpm], flux=self.flux_coadd[wave_gpm], PYP_SPEC=self.spectrograph.name, ivar=self.ivar_coadd[wave_gpm], mask=self.gpm_coadd[wave_gpm].astype(int), diff --git a/pypeit/core/wavecal/wv_fitting.py b/pypeit/core/wavecal/wv_fitting.py index 7b93c4b844..b5097f41df 100644 --- a/pypeit/core/wavecal/wv_fitting.py +++ b/pypeit/core/wavecal/wv_fitting.py @@ -103,7 +103,7 @@ def _bundle(self, **kwargs): # Return return _d - def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, limit_hdus=None): + def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None): #, limit_hdus=None): """ Over-ride for force_to_bintbl See :class:`pypeit.datamodel.DataContainer.to_hdu` for Arguments @@ -113,7 +113,8 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, limit_hdus=None) where the type depends on the value of ``add_primary``. """ return super(WaveFit, self).to_hdu(hdr=hdr, add_primary=add_primary, primary_hdr=primary_hdr, - limit_hdus=limit_hdus, force_to_bintbl=True) + #limit_hdus=limit_hdus, + force_to_bintbl=True) @classmethod def from_hdu(cls, hdu, chk_version=True): diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index 5c66ab9912..7117f0d8cd 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -471,7 +471,7 @@ def _validate(self): from astropy.table import Table from pypeit import io -from pypeit import masterframe +#from pypeit import masterframe from pypeit import msgs # TODO: There are methods in, e.g., doc/scripts/build_specobj_rst.py that output @@ -621,6 +621,11 @@ class and should be overwritten in the derived classes. # looks like this is already possible at least for some types, see # pypeit.tracepca.TracePCA.reference_row. + internals = None + """ + A list of strings identifying a set of internal attributes that are not part + of the datamodel. + """ def __init__(self, d=None): @@ -696,7 +701,10 @@ def _init_internals(self): These should be set to None """ - pass + if self.internals is None: + return + for attr in self.internals: + setattr(self, attr, None) def _validate(self): """ @@ -963,10 +971,11 @@ def _parse(cls, hdu, ext=None, ext_pseudo=None, transpose_table_arrays=False, # Construct instantiation dictionary _d = dict.fromkeys(cls.datamodel.keys()) - # Log if relevant data is found for this datamodel + # Log if relevant data is found for this datamodel, allowing for + # DataContainers that have no data, although such a usage case should be + # rare. if np.all([_hdu[e].data is None for e in _ext]): - # TODO: This is a KLUDGE. Not sure we should allow this... - msgs.warn('Extensions to be read by {0} have no data!'.format(cls.__name__)) + msgs.warn(f'Extensions to be read by {cls.__name__} have no data!') # This is so that the returned booleans for reading the # data are not tripped as false! found_data = True @@ -1253,11 +1262,28 @@ def _base_header(self, hdr=None): _hdr['DMODVER'] = (self.version, 'Datamodel version') return _hdr + @staticmethod + def valid_write_to_hdu_type(obj): + """ + Check if the provided object can be written to an `astropy.io.fits.HDUList`_. + + This needs to be consistent with :func:`~pypeit.io.write_to_hdu`. + + Args: + obj (object): + Object to write + + Returns: + :obj:`bool`: Flag that object can be written. + """ + return isinstance(obj, (DataContainer, dict, Table, np.ndarray, list)) + # TODO: Always have this return an HDUList instead of either that # or a normal list? # NOTE: This function should *not* include **kwargs. def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, - limit_hdus=None, force_to_bintbl=False, hdu_prefix=None): + #limit_hdus=None, + force_to_bintbl=False, hdu_prefix=None): """ Construct one or more HDU extensions with the data. @@ -1324,7 +1350,7 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, # TODO: This is a hack to deal with PYP_SPEC, but this # needs to be cleaned up, as does masterframe more # generally... - if np.sum(indx) > 1 or (np.sum(indx) == 1 and hdr_keys[indx] != 'PYP_SPEC'): + if np.sum(indx) > 1: # or (np.sum(indx) == 1 and hdr_keys[indx] != 'PYP_SPEC'): msgs.error('CODING ERROR: Primary header should not contain keywords that are the ' 'same as the datamodel for {0}.'.format(self.__class__.__name__)) @@ -1340,7 +1366,8 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, # Construct the list of HDUs hdu = [] for d in data: - if isinstance(d, dict) and len(d) == 1: + if isinstance(d, dict) and len(d) == 1 \ + and DataContainer.valid_write_to_hdu_type(d[list(d.keys())[0]]): ext = list(d.keys())[0] # Allow for embedded DataContainer's if isinstance(d[ext], DataContainer): @@ -1359,22 +1386,24 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, force_to_bintbl=force_to_bintbl)] else: hdu += [io.write_to_hdu(d, hdr=_hdr, force_to_bintbl=force_to_bintbl)] + # Prefixes - _hdu_prefix = (None if self.hdu_prefix is None else self.hdu_prefix) \ - if hdu_prefix is None else hdu_prefix + _hdu_prefix = self.hdu_prefix if hdu_prefix is None else hdu_prefix if _hdu_prefix is not None: for ihdu in hdu: - ihdu.name = _hdu_prefix+ihdu.name + ihdu.name = f'{_hdu_prefix}{ihdu.name}' # Limit? - if limit_hdus: - hdu = [h for h in hdu if h.name in limit_hdus] + # TODO: Change this to always use self.output_to_disk? +# if limit_hdus: +# hdu = [h for h in hdu if h.name in limit_hdus] + if self.output_to_disk is not None: + hdu = [h for h in hdu if h.name in self.output_to_disk] + # Return return fits.HDUList([fits.PrimaryHDU(header=_primary_hdr)] + hdu) if add_primary else hdu - # NOTE: This function should *not* include **kwargs. @classmethod - def from_hdu(cls, hdu, ext=None, ext_pseudo=None, hdu_prefix=None, - chk_version=True, allow_subclasses=False): + def from_hdu(cls, hdu, chk_version=True, **kwargs): """ Instantiate the object from an HDU extension. @@ -1383,30 +1412,21 @@ def from_hdu(cls, hdu, ext=None, ext_pseudo=None, hdu_prefix=None, Args: hdu (`astropy.io.fits.HDUList`_, `astropy.io.fits.ImageHDU`_, `astropy.io.fits.BinTableHDU`_): The HDU(s) with the data to use for instantiation. - ext (:obj:`str`, optional): - Passed to :func:`_parse`. - ext_pseudo (:obj:`str`, optional): - Passed to :func:`_parse`. - hdu_prefix (:obj:`str`, optional): - Passed to :func:`_parse`. chk_version (:obj:`bool`, optional): If True, raise an error if the datamodel version or type check failed. If False, throw a warning only. - allow_subclasses (:obj:`bool`, optional): - Passed to :func:`_parse`. + **kwargs: + Passed directly to :func:`_parse`. """ - d, dm_version_passed, dm_type_passed, parsed_hdus \ - = cls._parse(hdu, ext=ext, ext_pseudo=ext_pseudo, - hdu_prefix=hdu_prefix, - allow_subclasses=allow_subclasses) - + d, dm_version_passed, dm_type_passed, parsed_hdus = cls._parse(hdu, **kwargs) # Check version and type? if not dm_type_passed: - msgs.error('The HDU(s) cannot be parsed by a {0} object!'.format(cls.__name__)) + msgs.error(f'The HDU(s) cannot be parsed by a {cls.__name__} object!') if not dm_version_passed: _f = msgs.error if chk_version else msgs.warn - _f('Current version of {0} object in code (v{1})'.format(cls.__name__, cls.version) - + ' does not match version used to write your HDU(s)!') + # TODO: Pring read version? + _f(f'Current version of {cls.__name__} object in code ({cls.version}) ' + 'does not match version used to write your HDU(s)!') # Instantiate # NOTE: We can't use `cls(d)`, where `d` is the dictionary returned by @@ -1475,42 +1495,42 @@ def to_file(self, ofile, overwrite=False, checksum=True, **kwargs): # TODO: This should be moved to a new class that subclasses from # DataContainer. - def to_master_file(self, master_filename=None, **kwargs): - """ - Wrapper on to_file() that deals with masterframe naming and header - - This also sets master_key and master_dir internally if - when master_filename is provided - - self.hdu_prefix and self.output_to_disk must be set (or None) - - Args: - master_filename (str, optional): - Name of masterfile; if provided, parsed for master_key, master_dir - If not provided, constructed from internal master_key, master_dir - **kwargs: passed to to_file() - """ - # Output file - if master_filename is None: - master_filename = masterframe.construct_file_name(self, self.master_key, - master_dir=self.master_dir) - else: - self.master_key, self.master_dir = masterframe.grab_key_mdir( - master_filename, from_filename=True) - # Header - if hasattr(self, 'process_steps'): - steps = self.process_steps - else: - steps = None - if hasattr(self, 'files'): - raw_files = self.files - else: - raw_files = None - hdr = masterframe.build_master_header(self, self.master_key, self.master_dir, - steps=steps, raw_files=raw_files) - # Finish - self.to_file(master_filename, primary_hdr=hdr, - limit_hdus=self.output_to_disk, overwrite=True, **kwargs) +# def to_master_file(self, master_filename=None, **kwargs): +# """ +# Wrapper on to_file() that deals with masterframe naming and header +# +# This also sets master_key and master_dir internally if +# when master_filename is provided +# +# self.hdu_prefix and self.output_to_disk must be set (or None) +# +# Args: +# master_filename (str, optional): +# Name of masterfile; if provided, parsed for master_key, master_dir +# If not provided, constructed from internal master_key, master_dir +# **kwargs: passed to to_file() +# """ +# # Output file +# if master_filename is None: +# master_filename = masterframe.construct_file_name(self, self.master_key, +# master_dir=self.master_dir) +# else: +# self.master_key, self.master_dir = masterframe.grab_key_mdir( +# master_filename, from_filename=True) +# # Header +# if hasattr(self, 'process_steps'): +# steps = self.process_steps +# else: +# steps = None +# if hasattr(self, 'files'): +# raw_files = self.files +# else: +# raw_files = None +# hdr = masterframe.build_master_header(self, self.master_key, self.master_dir, +# steps=steps, raw_files=raw_files) +# # Finish +# self.to_file(master_filename, primary_hdr=hdr, +# limit_hdus=self.output_to_disk, overwrite=True, **kwargs) @classmethod def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): @@ -1534,34 +1554,36 @@ def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): Raised if the specified file does not exist. """ if not os.path.isfile(ifile): - raise FileNotFoundError('{0} does not exist!'.format(ifile)) + raise FileNotFoundError(f'{ifile} does not exist!') if verbose: - msgs.info("Loading {} from {}".format(cls.__name__, ifile)) + msgs.info(f'Loading {cls.__name__} from {ifile}') # Do it with io.fits_open(ifile) as hdu: - obj = cls.from_hdu(hdu, chk_version=chk_version, **kwargs) - # TODO: This stuff should be moved to a new class that subclasses - # from DataContainer. - if hasattr(obj, 'head0'): - obj.head0 = hdu[0].header - if hasattr(obj, 'filename'): - obj.filename = ifile - - # Master this and that - if hasattr(cls, 'master_type'): - obj.master_key, obj.master_dir = masterframe.grab_key_mdir(ifile) - if hasattr(obj, 'head0'): - if 'MSTRTYP' in obj.head0.keys(): - if obj.head0['MSTRTYP'] != cls.master_type: - msgs.error('Master Type read from header incorrect! ' - 'Found {0}; expected {1}'.format(obj.head0['MSTRTYP'], - cls.master_type)) - else: - msgs.warn('DataContainer has `master_type` attribute but is missing the ' - 'MSTRTYP header keyword!') - return obj + return cls.from_hdu(hdu, chk_version=chk_version, **kwargs) + +# obj = cls.from_hdu(hdu, chk_version=chk_version, **kwargs) +# # TODO: This stuff should be moved to a new class that subclasses +# # from DataContainer. +# if hasattr(obj, 'head0'): +# obj.head0 = hdu[0].header +# if hasattr(obj, 'filename'): +# obj.filename = ifile +# +# # Master this and that +# if hasattr(cls, 'master_type'): +# obj.master_key, obj.master_dir = masterframe.grab_key_mdir(ifile) +# if hasattr(obj, 'head0'): +# if 'MSTRTYP' in obj.head0.keys(): +# if obj.head0['MSTRTYP'] != cls.master_type: +# msgs.error('Master Type read from header incorrect! ' +# 'Found {0}; expected {1}'.format(obj.head0['MSTRTYP'], +# cls.master_type)) +# else: +# msgs.warn('DataContainer has `master_type` attribute but is missing the ' +# 'MSTRTYP header keyword!') +# return obj def __repr__(self): """ Over-ride print representation diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index 048a41d646..1c0bcd5f60 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -121,7 +121,6 @@ from pypeit import io from pypeit import utils from pypeit import sampling -from pypeit import masterframe from pypeit import slittrace from pypeit.datamodel import DataContainer from pypeit.images.mosaic import Mosaic diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index f460aca43f..e632aa901f 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -160,7 +160,7 @@ def _bundle(self): # Return return d - def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, limit_hdus=None): + def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None): #, limit_hdus=None): """ Over-ride for force_to_bintbl See :class:`pypeit.datamodel.DataContainer.to_hdu` for Arguments @@ -170,7 +170,8 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, limit_hdus=None) where the type depends on the value of ``add_primary``. """ return super(FlatImages, self).to_hdu(hdr=hdr, add_primary=add_primary, primary_hdr=primary_hdr, - limit_hdus=limit_hdus, force_to_bintbl=True) + #limit_hdus=limit_hdus, + force_to_bintbl=True) # TODO: Although I don't like doing it, kwargs is here to catch the # extraneous keywords that can be passed to _parse from the base class but diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 31eb63cacb..5c0aabf022 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -4,26 +4,22 @@ .. include:: ../include/links.rst """ -import os +from IPython import embed + import numpy as np from pypeit import msgs from pypeit.par import pypeitpar from pypeit.images import combineimage from pypeit.images import pypeitimage -from pypeit.core import procimg from pypeit.core.framematch import valid_frametype -from pypeit import utils - -from IPython import embed -class ArcImage(pypeitimage.PypeItImage): +class ArcImage(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the Arc Image """ - # Peg the version of this class to that of PypeItImage - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # I/O output_to_disk = ('ARC_IMAGE', 'ARC_FULLMASK', 'ARC_DETECTOR', @@ -32,78 +28,66 @@ class ArcImage(pypeitimage.PypeItImage): hdu_prefix = 'ARC_' # Master fun - master_type = 'Arc' - master_file_format = 'fits' + calib_type = 'Arc' -class AlignImage(pypeitimage.PypeItImage): +class AlignImage(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the Alignment Image """ - # Peg the version of this class to that of PypeItImage - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # I/O output_to_disk = ('ALIGN_IMAGE', 'ALIGN_FULLMASK', 'ALIGN_DETECTOR') hdu_prefix = 'ALIGN_' # Master fun - master_type = 'Align' - master_file_format = 'fits' + calib_type = 'Align' -class BiasImage(pypeitimage.PypeItImage): +class BiasImage(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the Bias Image """ - # Set the version of this class - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # Output to disk output_to_disk = ('BIAS_IMAGE', 'BIAS_IVAR', 'BIAS_DETECTOR') hdu_prefix = 'BIAS_' - master_type = 'Bias' - master_file_format = 'fits' + calib_type = 'Bias' -class DarkImage(pypeitimage.PypeItImage): +class DarkImage(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the Dark Image """ - # Set the version of this class - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # Output to disk output_to_disk = ('DARK_IMAGE', 'DARK_IVAR', 'DARK_DETECTOR') hdu_prefix = 'DARK_' - master_type = 'Dark' - master_file_format = 'fits' + calib_type = 'Dark' -class TiltImage(pypeitimage.PypeItImage): +class TiltImage(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the Tilt Image """ - - # Peg the version of this class to that of PypeItImage - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # I/O output_to_disk = ('TILT_IMAGE', 'TILT_FULLMASK', 'TILT_DETECTOR') hdu_prefix = 'TILT_' # Master fun - master_type = 'Tiltimg' - master_file_format = 'fits' + calib_type = 'Tiltimg' -class TraceImage(pypeitimage.PypeItImage): +class TraceImage(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the Trace Image """ - - # Peg the version of this class to that of PypeItImage - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # I/O output_to_disk = ('TRACE_IMAGE', 'TRACE_FULLMASK', 'TRACE_DETECTOR') @@ -119,20 +103,19 @@ def _bundle(self): if any(np.isin(list(_d.keys()), ['image', 'fullmask', 'detector']))] -class SkyRegions(pypeitimage.PypeItImage): +class SkyRegions(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the SkyRegions Image """ - # Peg the version of this class to that of PypeItImage - version = pypeitimage.PypeItImage.version + # version is inherited from PypeItImage # I/O output_to_disk = ('SKYREG_IMAGE') hdu_prefix = 'SKYREG_' # Master fun - master_type = 'SkyRegions' - master_file_format = 'fits.gz' + calib_type = 'SkyRegions' + calib_file_format = 'fits.gz' # Convert frame type into an Image diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index 76adb2e24f..721cd5ed90 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -10,6 +10,8 @@ import numpy as np +from astropy.io import fits + from pypeit import msgs from pypeit.images.imagebitmask import ImageBitMaskArray from pypeit.images.detector_container import DetectorContainer @@ -17,8 +19,9 @@ from pypeit.core import procimg from pypeit.display import display from pypeit import datamodel +from pypeit.calibframe import CalibFrame from pypeit import utils -from pypeit import masterframe +from pypeit import io class PypeItImage(datamodel.DataContainer): @@ -88,16 +91,13 @@ class PypeItImage(datamodel.DataContainer): process_steps (:obj:`list`): List of steps executed during processing of the image data; see :class:`~pypeit.images.rawimage.RawImage.process`. - master_key (:obj:`str`): - Master key, only for Master frames - master_dir (:obj:`str`): - Master directory, only for Master frames """ version = '1.3.0' """Datamodel version number""" - datamodel = {'image': dict(otype=np.ndarray, atype=np.floating, descr='Primary image data'), + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), + 'image': dict(otype=np.ndarray, atype=np.floating, descr='Primary image data'), 'ivar': dict(otype=np.ndarray, atype=np.floating, descr='Inverse variance image'), 'nimg': dict(otype=np.ndarray, atype=np.integer, @@ -122,7 +122,6 @@ class PypeItImage(datamodel.DataContainer): descr='The detector (see :class:`~pypeit.images.detector_container.DetectorContainer`) ' 'or mosaic (see :class:`~pypeit.images.mosaic.Mosaic`) ' 'parameters'), - 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'units': dict(otype=str, descr='(Unscaled) Pixel units (e- or ADU)'), # TODO: Consider forcing exptime to be a float. 'exptime': dict(otype=(int, float), descr='Effective exposure time (s)'), @@ -133,36 +132,35 @@ class PypeItImage(datamodel.DataContainer): 'and SlitTrace')} """Data model components.""" + internals = ['process_steps', 'files', 'rawheadlist'] + @classmethod def from_pypeitimage(cls, pypeitImage): """ - Generate an instance - This enables building the Child from the Parent, e.g. a MasterFrame Image + Instantiate the object from an existing :class:`PypeItImage`. - This is *not* a deepcopy + This allows for the general construction of a :class:`PypeItImage` that + can then be subsequently decorated by an appropriate type with default + attributes. See, e.g., :class:`~pypeit.images.buildimage.ArcImage`. - Args: - pypeitImage (:class:`PypeItImage`): + Note that this is *not* a deep copy. - Returns: + Args: pypeitImage (:class:`PypeItImage`): - + The input image to convert into the appropriate type. """ _d = {} for key in pypeitImage.datamodel.keys(): if pypeitImage[key] is None: continue _d[key] = pypeitImage[key] - # Instantiate - slf = cls(**_d) - # Internals - slf.process_steps = pypeitImage.process_steps - slf.files = pypeitImage.files - slf.rawheadlist = pypeitImage.rawheadlist - slf.master_dir = pypeitImage.master_dir - slf.master_key = pypeitImage.master_key - # Return - return slf + # Instantiate using the derived class + self = cls(**_d) + # Copy the PypeItImage internals + for attr in pypeitImage.internals: + setattr(self, attr, getattr(pypeitImage, attr)) + # Done + return self def __init__(self, image, ivar=None, nimg=None, amp_img=None, det_img=None, rn2img=None, base_var=None, img_scale=None, fullmask=None, detector=None, spat_flexure=None, @@ -217,18 +215,6 @@ def __init__(self, image, ivar=None, nimg=None, amp_img=None, det_img=None, rn2i self.update_mask('USER', action='turn_off') self.update_mask('USER', indx=crmask) - def _init_internals(self): - """ - Initialize attributes that are not part of the datamodel. - """ -# self.head0 = None - self.process_steps = None - self.files = None - self.rawheadlist = None - # Master stuff - self.master_key = None - self.master_dir = None - def _bundle(self): """ Package the datamodel for writing. @@ -261,7 +247,7 @@ def _bundle(self): return d @classmethod - def from_hdu(cls, hdu, hdu_prefix=None, chk_version=True): + def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): """ Instantiate the object from an HDU extension. @@ -274,20 +260,24 @@ def from_hdu(cls, hdu, hdu_prefix=None, chk_version=True): Args: hdu (`astropy.io.fits.HDUList`_, `astropy.io.fits.ImageHDU`_, `astropy.io.fits.BinTableHDU`_): The HDU(s) with the data to use for instantiation. - hdu_prefix (:obj:`str`, optional): - Maintained for consistency with the base class but is - not used by this method. chk_version (:obj:`bool`, optional): If True, raise an error if the datamodel version or type check failed. If False, throw a warning only. - """ + hdu_prefix (:obj:`str`, optional): + Only parse HDUs with extension names matched to this prefix. If + None, :attr:`hdu_prefix` is used. If the latter is also None, no + prefix is expected. + **kwargs: + Passed directly to :func:`~pypeit.datamodel.DataContainer._parse`. + """ + # TODO: Is there a way to read the mask array directly using the + # ext_pseudo functionality? # Set the default hdu prefix if none is provided - if hdu_prefix is None: - hdu_prefix = cls.hdu_prefix + _hdu_prefix = cls.hdu_prefix if hdu_prefix is None else hdu_prefix # Need to separately parse the mask because it is not called 'MASK'. # Set the mask extension name. - mask_ext = 'FULLMASK' if hdu_prefix is None else f'{hdu_prefix}FULLMASK' + mask_ext = 'FULLMASK' if _hdu_prefix is None else f'{_hdu_prefix}FULLMASK' # Get all the extensions ext = [h.name for h in hdu] if hasattr(hdu, '__len__') else [hdu.name] @@ -298,7 +288,7 @@ def from_hdu(cls, hdu, hdu_prefix=None, chk_version=True): # Parse everything *but* the mask extension d, version_passed, type_passed, parsed_hdus \ - = super()._parse(hdu, ext=ext, hdu_prefix=hdu_prefix) + = super()._parse(hdu, ext=ext, hdu_prefix=_hdu_prefix) if not type_passed: msgs.error(f'The HDU(s) cannot be parsed by a {cls.__name__} object!') if not version_passed: @@ -823,4 +813,118 @@ def __repr__(self): repr = repr + '>' return repr + def build_header(self, hdr=None): + """ + Build the generic header written to all PypeIt images. + + Args: + hdr (`astropy.io.fits.Header`, optional): + Header object to update. The object is modified in-place and + also returned. If None, an empty header is instantiated, edited, + and returned. + + Returns: + `astropy.io.fits.Header`_: The initialized (or edited) fits header. + """ + # Standard init + _hdr = io.initialize_header(hdr) + + # - List the completed steps + if self.process_steps is not None: + _hdr['STEPS'] = (','.join(self.process_steps), 'Completed reduction steps') + # - Provide the file names + if self.files is not None: + nfiles = len(self.files) + ndig = int(np.log10(nfiles)) + 1 + for i in range(nfiles): + _hdr['F{0}'.format(i + 1).zfill(ndig)] \ + = (self.files[i], 'PypeIt: Processed raw file') + # Return + return _hdr + +class PypeItCalibrationImage(PypeItImage, CalibFrame): + """ + Abstract base class used with PypeIt calibration images. + + This class inherits the core datamodel attributes and functionality from + :class:`PypeItImage`, including the version number, but uses the naming + conventions driven by :class:`~pypeit.calibframe.CalibFrame`. Some + more-specific inheritance notes: + + - Inheritance order matters! The order must be :class:`PypeItImage`, + then :class:`~pypeit.calibframe.CalibFrame` to ensure the correct + method resolution order. + + - The datamodel version is inherited from :class:`PypeItImage`. + + - There is no need to combine the datamodels because ``PYP_SPEC`` is + already part of :class:`PypeItImage`. + + - The ``__init__`` function is inherited from :class:`PypeItImage`. + + - The ``_bundle`` method is inherited from :class:`PypeItImage`; the + ``to_file`` method is inherited from + :class:`~pypeit.calibframe.CalibFrame`; ``from_hdu`` is specific to + this class because we need to combine the :class:`PypeItImage` and + :class:`~pypeit.calibframe.CalibFrame` functionality; all other IO + methods are inherited directly from + :class:`~pypeit.datamodel.DataContainer`. + + """ + + internals = PypeItImage.internals + CalibFrame.internals + """ + Combines internals from both base classes. + """ + + def build_header(self, hdr=None): + """ + Override the base class functions to combine the operations of both base + classes. + """ + return CalibFrame.build_header(self, hdr=PypeItImage.build_header(self, hdr=hdr)) + + @classmethod + def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): + """ + Instantiate the object from an HDU extension. + + This uses the :func:`PypeItImage.from_hdu` method, and then parses the + necessary :class:`~pypeit.calibframe.CalibFrame`-specific attributes + from one of the relevant headers. + + Args: + hdu (`astropy.io.fits.HDUList`_, `astropy.io.fits.ImageHDU`_, `astropy.io.fits.BinTableHDU`_): + The HDU(s) with the data to use for instantiation. + chk_version (:obj:`bool`, optional): + If True, raise an error if the datamodel version or + type check failed. If False, throw a warning only. + hdu_prefix (:obj:`str`, optional): + Only parse HDUs with extension names matched to this prefix. If + None, :attr:`hdu_prefix` is used. If the latter is also None, no + prefix is expected. + **kwargs: + Passed directly to :func:`~pypeit.datamodel.DataContainer._parse`. + """ + # NOTE: Python method resolution order dictates that this call uses the + # PypeItImage method. + self = super().from_hdu(hdu, chk_version=chk_version, hdu_prefix=hdu_prefix, **kwargs) + + if isinstance(hdu, fits.HDUList): + # Find a header with the correct datamodel class + hdr_to_parse = None + for h in hdu: + if 'DMODCLS' in h.header and h.header['DMODCLS'] == cls.__name__: + hdr_to_parse = h.header + break + if hdr_to_parse is None: + msgs.error('Provided HDUList does not have any HDUs constructed by the correct ' + f'datamodel class, {cls.__name__}.') + else: + hdr_to_parse = hdu.header + + self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) + self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID'].split(',')) + + return self diff --git a/pypeit/io.py b/pypeit/io.py index 9a6e06f300..07195db4f0 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -248,32 +248,29 @@ def parse_hdr_key_group(hdr, prefix='F'): return [] -def initialize_header(hdr=None, primary=False): +def initialize_header(hdr=None): """ - Initialize a FITS header. + Initialize FITS header for all PypeIt output fits images. Args: hdr (`astropy.io.fits.Header`, optional): - Header object to update with basic summary - information. The object is modified in-place and also - returned. If None, an empty header is instantiated, - edited, and returned. - primary (bool, optional): - If true and hdr is None, generate a Primary header + Header object to update with basic summary information. The object + is modified in-place and also returned. If None, an empty header is + instantiated, edited, and returned. Returns: `astropy.io.fits.Header`: The initialized (or edited) fits header. """ - # Add versioning; this hits the highlights but should it add - # the versions of all packages included in the requirements.txt - # file? if hdr is None: - if primary: - hdr = fits.PrimaryHDU().header - else: - hdr = fits.Header() - hdr['VERSPYT'] = ('.'.join([ str(v) for v in sys.version_info[:3]]), 'Python version') + # NOTE: It's not necessary to distinguish between a generic header and + # PrimaryHDU header here. Astropy takes care of the difference when it + # constructs the PrimaryHDU in the HDUList. + hdr = fits.Header() + + # Add versioning + # TODO: Include additional packages? + hdr['VERSPYT'] = ('.'.join([str(v) for v in sys.version_info[:3]]), 'Python version') hdr['VERSNPY'] = (numpy.__version__, 'Numpy version') hdr['VERSSCI'] = (scipy.__version__, 'Scipy version') hdr['VERSAST'] = (astropy.__version__, 'Astropy version') @@ -283,8 +280,6 @@ def initialize_header(hdr=None, primary=False): # Save the date of the reduction hdr['DATE'] = (time.strftime('%Y-%m-%d',time.gmtime()), 'UTC date created') - # TODO: Anything else? - # Return return hdr @@ -294,6 +289,7 @@ def header_version_check(hdr, warning_only=True): Check the package versions in the header match the system versions. .. note:: + The header must contain the keywords written by :func:`initialize_header`. diff --git a/pypeit/masterframe.py b/pypeit/masterframe.py deleted file mode 100644 index 32eb3e7656..0000000000 --- a/pypeit/masterframe.py +++ /dev/null @@ -1,139 +0,0 @@ -""" -Implements the master frame base class. - -.. include common links, assuming primary doc root is up one directory -.. include:: ../include/links.rst - -""" -import os -from IPython import embed -from abc import ABCMeta - -import numpy as np - -from pypeit import msgs -from pypeit.io import initialize_header - -from astropy.io import fits - -# DEFINE HERE AS THE DATAMODEL -sep1 = '_' # Separation between master type and key -sep2 = '.' # Separation between master key and extension - -def construct_file_name(master_obj, master_key, master_dir=None): - """ - Generate a MasterFrame filename - Args: - master_obj (object): - MasterFrame object to be named. This provides the master_type and file_format - master_key (str): - Designation - master_dir (str, optional): - Path to the master frame folder - Returns: - str: - """ - basefile = 'Master{0}{1}{2}{3}{4}'.format(master_obj.master_type, sep1, - master_key, sep2, - master_obj.master_file_format) - filename = os.path.join(master_dir, basefile) if master_dir is not None else basefile - # Return - return filename - - -def grab_key_mdir(inp, from_filename=False): - """ - Grab master_key and master_dir by parsing a filename or inspecting a header. - - Args: - inp (:obj:`str`, `astropy.io.fits.Header`_): - Either a filename or a Header of a FITS file - - from_filename (:obj:`bool`, optional): - If true, parse the input filename using the naming model. - - Returns: - :obj:`tuple`: Two strings with the master key and the master directory - for the master file. - """ - if from_filename: - # Grab the last folder of the path - master_dir = os.path.dirname(inp) - # Parse - base = os.path.basename(inp) - pos1 = base.find(sep1) - pos2 = base.find(sep2) - master_key = base[pos1+1:pos2] - else: - if isinstance(inp, str): - head0 = fits.getheader(inp) - elif isinstance(inp, fits.Header): - head0 = inp - # Grab it - master_key = head0['MSTRKEY'] if 'MSTRKEY' in head0.keys() else None - master_dir = head0['MSTRDIR'] if 'MSTRDIR' in head0.keys() else None - # Return - return master_key, master_dir - - -def build_master_header(master_obj, master_key, master_dir, - hdr=None, steps=None, raw_files=None): - """ - Initialize the master frame header. - - This builds a generic header that is written to all PypeIt master - frames. - - Args: - master_obj (object): - MasterFrame object to be named. This provides the - master_type and file_format - master_key (str): - Designation - master_dir (str): - Path to the master frame folder - spectrograph (str): - Name of the spectrograph - hdr (`astropy.io.fits.Header`, optional): - Header object to update with basic summary - information. The object is modified in-place and also - returned. If None, an empty header is instantiated, - edited, and returned. - steps (:obj:`list`, optional): - The list of steps executed by the derived class to - construct the master frame. - raw_files (:obj:`list`, optional): - List of processed raw files used to construct the master - frame. - Returns: - `astropy.io.fits.Header`: The initialized (or edited) - fits header. - """ - # Standard init - _hdr = initialize_header(hdr) - - # Save the master frame type and key and version, in case the file name is - # changed. - _hdr['MSTRTYP'] = (master_obj.master_type, 'PypeIt: Master frame type') - _hdr['MSTRDIR'] = (master_dir, 'PypeIt: Master directory') - _hdr['MSTRKEY'] = (master_key, 'PypeIt: Calibration key') - _hdr['MSTRVER'] = (master_obj.version, 'PypeIt: Master datamodel version') - #_hdr['MSTRREU'] = (self.reuse_masters, 'PypeIt: Reuse existing masters') - - # Spectrograph - if master_obj.PYP_SPEC is None: - msgs.error("The object needs to include PYP_SPEC this so that it was written to the Header") - _hdr['PYP_SPEC'] = (master_obj.PYP_SPEC, 'PypeIt: Spectrograph name') # This may be over-written by itself - - # - List the completed steps - if steps is not None: - _hdr['STEPS'] = (','.join(steps), 'Completed reduction steps') - # - Provide the file names - if raw_files is not None: - nfiles = len(raw_files) - ndig = int(np.log10(nfiles)) + 1 - for i in range(nfiles): - _hdr['F{0}'.format(i + 1).zfill(ndig)] = (raw_files[i], 'PypeIt: Processed raw file') - # Return - return _hdr - diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index a058b9d68f..3426e204c2 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -23,7 +23,6 @@ from pypeit.display import display from pypeit.images.imagebitmask import ImageBitMask from pypeit.images.detector_container import DetectorContainer -from pypeit import masterframe from pypeit import spec2dobj from pypeit.scripts import scriptbase diff --git a/pypeit/tests/test_arcimage.py b/pypeit/tests/test_arcimage.py index 32dd8c68d9..a64676d355 100644 --- a/pypeit/tests/test_arcimage.py +++ b/pypeit/tests/test_arcimage.py @@ -1,25 +1,19 @@ """ -Module to run tests on ArcImage as a test -of master frame functionality +Module to test ArcImage. """ -import os - -import pytest -import glob +from pathlib import Path from IPython import embed import numpy as np -from astropy.io import fits - from pypeit.images import pypeitimage from pypeit.images import buildimage -from pypeit import masterframe from pypeit.images import detector_container from pypeit.tests.test_detector import def_det from pypeit.tests.tstutils import data_path + def test_init(): # Instantiate a simple pypeitImage pypeitImage = pypeitimage.PypeItImage(np.ones((1000, 1000))) @@ -28,7 +22,8 @@ def test_init(): # Now the arcimage arcImage = buildimage.ArcImage.from_pypeitimage(pypeitImage) -def test_master_io(): + +def test_io(): # Instantiate a simple pypeitImage pypeitImage = pypeitimage.PypeItImage(np.ones((1000, 1000))) pypeitImage.reinit_mask() @@ -36,16 +31,29 @@ def test_master_io(): pypeitImage.PYP_SPEC = 'shane_kast_blue' # Now the arcimage arcImage = buildimage.ArcImage.from_pypeitimage(pypeitImage) + # Set paths and check name + arcImage.set_paths(data_path(''), 'A', ['1'], 'DET01') + ofile = Path(arcImage.construct_file_name()).resolve() + assert str(ofile) == data_path('Arc_A_1_DET01.fits'), 'Calibration file name changed' # Write - master_filename = masterframe.construct_file_name(arcImage, 'A_01_22', master_dir=data_path('')) - assert master_filename == data_path('MasterArc_A_01_22.fits'), 'Master filename changed' - arcImage.to_master_file(master_filename) + arcImage.to_file(overwrite=True) # Read - _arcImage = buildimage.ArcImage.from_file(master_filename) + _arcImage = buildimage.ArcImage.from_file(str(ofile)) + # Random set of checks to make sure the written and read versions of + # arcImage are identical assert isinstance(_arcImage.detector, detector_container.DetectorContainer), \ 'detector has wrong type' + assert arcImage.detector.version == detector_container.DetectorContainer.version, \ + 'detector version changed' + assert np.array_equal(arcImage.detector.gain, _arcImage.detector.gain), \ + 'Detector properties changed' + # Check that the image data itself did not change + assert np.array_equal(_arcImage.image, arcImage.image), 'image data changed' assert np.array_equal(_arcImage.fullmask.mask, arcImage.fullmask.mask), 'mask changed' + # Cleanup - os.remove(master_filename) + ofile.unlink() + +test_io() diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py new file mode 100644 index 0000000000..119cf2ce24 --- /dev/null +++ b/pypeit/tests/test_calibframe.py @@ -0,0 +1,153 @@ +""" +Module to run tests on armasters +""" +from pathlib import Path + +from IPython import embed + +import pytest + +from pypeit.pypmsgs import PypeItError +from pypeit.calibframe import CalibFrame +from pypeit import io +from pypeit.tests.tstutils import data_path + +class NoTypeCalibFrame(CalibFrame): + # These are the minimal things that need to be defined to actually + # instantiate a derive class of CalibFrame + version = '1.0.0' + + +class MissingPYPSPECCalibFrame(CalibFrame): + # These are the minimal things that need to be defined to actually + # instantiate a derive class of CalibFrame + version = '1.0.0' + calib_type = 'Junk' + datamodel = {'Junk': dict(otype=str)} + + +class MinimalCalibFrame(CalibFrame): + # These are the minimal things that need to be defined to actually + # instantiate a derive class of CalibFrame + version = '1.0.0' + calib_type = 'Minimal' + + +def test_implementation_faults(): + # CalibFrame cannot be instantiated by itself because a version of the + # datamodel does not exist. + with pytest.raises(ValueError): + calib = CalibFrame() + with pytest.raises(PypeItError): + calib = NoTypeCalibFrame() + with pytest.raises(PypeItError): + calib = MissingPYPSPECCalibFrame() + + +def test_init(): + calib = MinimalCalibFrame() + odir = Path(data_path('')).resolve() + calib.set_paths(odir, 'A', '1', 'DET01') + ofile = calib.construct_file_name(full=False) + assert ofile == 'Minimal_A_1_DET01.fits', 'Wrong file name' + opath = Path(calib.construct_file_name()).resolve() # Now with the full path + assert opath.parent == odir, 'Wrong parent directory' + assert opath.name == ofile, 'Wrong file name' + + calib.set_paths(odir, 'A', ['1','2'], 'DET01') + ofile = calib.construct_file_name(full=False) + assert ofile == 'Minimal_A_1-2_DET01.fits', 'Wrong file name' + + +def test_io(): + calib = MinimalCalibFrame() + odir = Path(data_path('')).resolve() + calib.set_paths(odir, 'A', '1', 'DET01') + calib.PYP_SPEC = 'this is a test' + opath = Path(calib.construct_file_name()).resolve() + calib.to_file(overwrite=True) + + with io.fits_open(str(opath)) as hdu: + assert hdu[1].header['CALIBTYP'] == calib.calib_type, 'Calibration type incorrect' + assert len(hdu) == 2, 'Should be two HDUs' + assert hdu[1].name == '', 'HDU 1 name should be empty' + assert all([h.data is None for h in hdu]), 'File should have no data' + + _calib = MinimalCalibFrame.from_file(str(opath)) + assert _calib.calib_key == calib.calib_key, 'Error parsing calib key from file name' + assert _calib.calib_dir == calib.calib_dir, 'Error parsing calib directory from file name' + assert _calib.PYP_SPEC == calib.PYP_SPEC, 'Datamodel read error' + + opath.unlink() + + calib.set_paths(odir, 'A', [1,2], 'DET01') + calib.to_file(overwrite=True) + opath = Path(calib.construct_file_name()).resolve() + with io.fits_open(str(opath)) as hdu: + assert hdu[1].header['CALIBID'] == '1,2', 'Calibration ID incorrect' + _calib = MinimalCalibFrame.from_file(str(opath)) + + assert _calib.calib_id == calib.calib_id, 'Calibration ID incorrect' + assert _calib.calib_id == ['1', '2'], 'Calibration ID incorrect' + + opath.unlink() + + +def test_construct_calib_key(): + key = CalibFrame.construct_calib_key('A', '1', 'DET01') + assert key == 'A_1_DET01', 'Key changed' + key = CalibFrame.construct_calib_key('A', ['1','2'], 'DET01') + assert key == 'A_1-2_DET01', 'Key changed' + key = CalibFrame.construct_calib_key('A', 'all', 'DET01') + assert key == 'A_all_DET01', 'Key changed' + + +def test_ingest_calib_id(): + assert CalibFrame.ingest_calib_id('all') == ['all'], 'Bad ingest' + assert CalibFrame.ingest_calib_id(['all', 1]) == ['all'], 'Bad ingest' + assert CalibFrame.ingest_calib_id([1, 2]) == ['1', '2'], 'Bad ingest' + assert CalibFrame.ingest_calib_id([2, 1]) == ['1', '2'], 'Bad ingest' + assert CalibFrame.ingest_calib_id([2, 1, 2]) == ['1', '2'], 'Bad ingest' + assert CalibFrame.ingest_calib_id(['1', 2]) == ['1', '2'], 'Bad ingest' + assert CalibFrame.ingest_calib_id(['1', '2']) == CalibFrame.ingest_calib_id([2, 1]), \ + 'Bad ingest' + + +def test_parse_key_dir(): + calib = MinimalCalibFrame() + odir = Path(data_path('')).resolve() + calib.set_paths(odir, 'A', '1', 'DET01') + calib.PYP_SPEC = 'this is a test' + opath = Path(calib.construct_file_name()).resolve() + calib.to_file(overwrite=True) + + key, _odir = CalibFrame.parse_key_dir(str(opath), from_filename=True) + assert key == calib.calib_key, 'Key parsed incorrectly' + assert _odir == calib.calib_dir, 'Key parsed incorrectly' + key, _dir = CalibFrame.parse_key_dir(str(opath)) + assert key == calib.calib_key, 'Key parsed incorrectly' + assert _odir == calib.calib_dir, 'Key parsed incorrectly' + with io.fits_open(str(opath)) as hdu: + key, _dir = CalibFrame.parse_key_dir(hdu[1].header) + assert key == calib.calib_key, 'Key parsed incorrectly' + assert _odir == calib.calib_dir, 'Key parsed incorrectly' + +test_parse_key_dir() + +def test_hdr(): + calib = MinimalCalibFrame() + odir = Path(data_path('')).resolve() + calib.set_paths(odir, 'A', '1', 'DET01') + + hdr = calib.build_header() + assert 'CALIBTYP' in hdr, 'Missing keyword' + assert hdr['CALIBTYP'] == calib.calib_type + assert 'CALIBVER' in hdr, 'Missing keyword' + assert hdr['CALIBVER'] == calib.version + assert 'CALIBDIR' in hdr, 'Missing keyword' + assert hdr['CALIBDIR'] == calib.calib_dir + assert 'CALIBKEY' in hdr, 'Missing keyword' + assert hdr['CALIBKEY'] == calib.calib_key + assert 'CALIBID' in hdr, 'Missing keyword' + assert hdr['CALIBID'] == ','.join(calib.calib_id) + diff --git a/pypeit/tests/test_masterframe.py b/pypeit/tests/test_masterframe.py deleted file mode 100644 index c337c5491f..0000000000 --- a/pypeit/tests/test_masterframe.py +++ /dev/null @@ -1,40 +0,0 @@ -""" -Module to run tests on armasters -""" -import os - -from IPython import embed - -import numpy as np - -from astropy.io import fits - -from pypeit import masterframe -from pypeit.images import buildimage -from pypeit.tests.tstutils import data_path - - -def test_masterframe_methods(): - master_key = 'A_1_DET01' - master_dir = data_path('') - - # Filename - Aimg = buildimage.ArcImage(np.zeros((10,10))) - Aimg.PYP_SPEC = 'shane_kast_blue' - filename = masterframe.construct_file_name(Aimg, master_key, master_dir=master_dir) - assert isinstance(filename, str), 'Name should be a string' - assert filename == data_path(f'Master{Aimg.master_type}_{master_key}.{Aimg.master_file_format}'), \ - 'Name is different from the expected default' - - # Header - hdr = masterframe.build_master_header(Aimg, master_key, master_dir) - assert isinstance(hdr, fits.Header), 'master header has wrong type' - - # Get those keys! - _master_key, _master_dir = masterframe.grab_key_mdir(hdr) - assert _master_key == master_key, 'incorrect master key pulled from header' - - _master_key2, _master_dir2 = masterframe.grab_key_mdir(filename, from_filename=True) - assert _master_key2 == master_key, 'incorrect master key parsed from file name' - - diff --git a/pypeit/tests/test_pypeitimage.py b/pypeit/tests/test_pypeitimage.py index 08af806457..f6410f966c 100644 --- a/pypeit/tests/test_pypeitimage.py +++ b/pypeit/tests/test_pypeitimage.py @@ -2,14 +2,16 @@ Module to run tests on PypeItImage class """ from pathlib import Path -import os from IPython import embed +import pytest + import numpy as np from astropy.io import fits +from pypeit.pypmsgs import PypeItError from pypeit.images import pypeitimage from pypeit.images import imagebitmask from pypeit.tests.tstutils import data_path @@ -22,12 +24,12 @@ def test_full(): assert 'detector' in pypeitImage.keys(), 'Detector somehow missing!' # I/O - outfile = data_path('tst_pypeitimage.fits') - pypeitImage.to_file(outfile, overwrite=True) - _pypeitImage = pypeitimage.PypeItImage.from_file(outfile) + outfile = Path(data_path('tst_pypeitimage.fits')).resolve() + pypeitImage.to_file(str(outfile), overwrite=True) + _pypeitImage = pypeitimage.PypeItImage.from_file(str(outfile)) # Cleanup - os.remove(outfile) + outfile.unlink() # Test assert np.array_equal(_pypeitImage.image, np.ones(shape)), 'image array changed' @@ -75,6 +77,8 @@ def test_bitmask(): # Check that a few of the bit numbers are correct (i.e., that the order # didn't get messed up) + # NOTE: If these fail because of code development, update the relevant + # version number! assert bm.bits['BPM'] == 0, 'BPM bit number changed' assert bm.bits['CR'] == 1, 'CR bit number changed' assert bm.bits['OFFSLITS'] == 4, 'OFFSLITS bit number changed' @@ -161,3 +165,64 @@ def test_bitmaskarray_io(): # Clean-up path.unlink() + +class MinimalPypeItCalibrationImage(pypeitimage.PypeItCalibrationImage): + # These are the minimal things that need to be defined to actually + # instantiate a derive class of PypeItCalibrationImage. + calib_type = 'Minimal' + + +class NewDMComponentPypeItCalibrationImage(pypeitimage.PypeItCalibrationImage): + # Try adding something to the datamodel + calib_type = 'NewDMComponent' + + datamodel = {**pypeitimage.PypeItCalibrationImage.datamodel, + 'newdmcomponent': dict(otype=str, help='test')} + + +def test_calib_instantiation(): + + with pytest.raises(PypeItError): + # This will fail because the base PypeItCalibrationImage class does not + # define the calibration type. + img = pypeitimage.PypeItCalibrationImage(np.ones((100,100), dtype=float)) + + img = MinimalPypeItCalibrationImage(np.ones((100,100), dtype=float)) + assert img.calib_type == 'Minimal', 'Wrong calibration type' + assert img.version == pypeitimage.PypeItImage.version, 'Version should match PypeItImage' + # Check for a PypeItImage internal + assert hasattr(img, 'process_steps'), 'Missing PypeItImage internal' + # Check for a PypeItImage datamodel component + assert hasattr(img, 'ivar'), 'Missing PypeItImage datamodel component' + # Check for a CalibFrame internal + assert hasattr(img, 'calib_key'), 'Missing CalibFrame internal' + # Check for a CalibFrame datamodel component (there's only one so far and + # it's also part of the PypeItImage datamodel). + assert hasattr(img, 'PYP_SPEC'), 'Missing CalibFrame datamodel component' + + img = NewDMComponentPypeItCalibrationImage(np.ones((100,100), dtype=float)) + assert hasattr(img, 'newdmcomponent'), 'Missing added datamodel component' + + +def test_calib_io(): + + rng = np.random.default_rng(99) + ran_image = rng.normal(size=(100,100)) + + img = MinimalPypeItCalibrationImage(ran_image) + img.PYP_SPEC = 'test' + odir = Path(data_path('')).resolve() + img.set_paths(odir, 'A', '1', 'DET01') + assert img.calib_dir == str(odir), 'Bad output directory' + opath = Path(img.construct_file_name()).resolve() + + img.to_file(overwrite=True) + assert opath.exists(), 'File not written' + + _img = MinimalPypeItCalibrationImage.from_file(str(opath)) + assert np.array_equal(img.image, _img.image), 'Image data incorrect' + assert _img.ivar is None, 'Image inverse variance should be undefined' + assert img.PYP_SPEC == _img.PYP_SPEC, 'Spectrum string changed' + assert img.calib_key == _img.calib_key, 'Calibration key changed' + assert img.calib_dir == _img.calib_dir, 'Calibration directory changed' + diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index 3cdf1e5376..bc15cffb9c 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -15,7 +15,6 @@ from pypeit.spectrographs.spectrograph import Spectrograph from pypeit.spectrographs.util import load_spectrograph from pypeit.metadata import PypeItMetaData -from pypeit import masterframe from pypeit.inputfiles import PypeItFile # ---------------------------------------------------------------------- From 8b519c7f6c5bc5d042a4ac4f70dd267d6f380283 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 20 Mar 2023 13:45:04 -0700 Subject: [PATCH 075/308] interrupt --- pypeit/calibframe.py | 47 +++++++--- pypeit/calibrations.py | 146 +++++++++++++++--------------- pypeit/core/datacube.py | 2 +- pypeit/core/framematch.py | 14 ++- pypeit/datamodel.py | 57 +----------- pypeit/flatfield.py | 2 +- pypeit/images/buildimage.py | 2 +- pypeit/images/pypeitimage.py | 44 +++++++-- pypeit/par/pypeitpar.py | 31 ++++--- pypeit/pypeit.py | 2 +- pypeit/scripts/identify.py | 2 +- pypeit/scripts/ql.py | 2 +- pypeit/scripts/skysub_regions.py | 2 +- pypeit/scripts/trace_edges.py | 2 +- pypeit/scripts/utils.py | 2 +- pypeit/tests/test_calibrations.py | 31 +++++-- pypeit/tests/test_match.py | 15 +++ pypeit/tests/test_slittrace.py | 2 +- 18 files changed, 223 insertions(+), 182 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index eb544923f5..d841740af7 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -139,7 +139,8 @@ def to_file(self, **kwargs): # TODO: This used to set overwrite=True, but overwrite should be part of # kwargs. The default of DataContainer is overwrite=False, so I need to # make sure that the behavior is maintained. - super().to_file(self.construct_file_name(), hdr=hdr, **kwargs) + ofile = self.__class__.construct_file_name(self.calib_key, calib_dir=self.calib_dir) + super().to_file(ofile, hdr=hdr, **kwargs) @classmethod def from_hdu(cls, hdu, chk_version=True, **kwargs): @@ -290,29 +291,47 @@ def construct_calib_key(setup, calib_id, detname): _calib_id = CalibFrame.ingest_calib_id(calib_id) return f'{setup}_{"-".join(_calib_id)}_{detname}' + @staticmethod + def parse_calib_key(calib_key): + """ + Given the calibration key identifier, parse its different components. + + To see how the key is constructed, see :func:`construct_calib_key`. + + Args: + calib_key (:obj:`str`): + The calibration key identifier to parse. + + Returns: + :obj:`tuple`: The three components of the calibration key. + """ + setup, calib_id, detname = calib_key.split('_') + return setup, ','.join(calib_id.split('-')), detname + # TODO: Change the name of this to get_path or something - def construct_file_name(self, full=True): + @classmethod + def construct_file_name(cls, calib_key, calib_dir=None): """ - Generate a calibration frame filename + Generate a calibration frame filename. Args: - full (:obj:`bool`, optional): - If True, return the full path. If False, only return the file - name. + calib_key (:obj:`str`): + String identifier of the calibration group. See + :func:`construct_calib_key`. + calib_dir (:obj:`str`, `Path`_, optional): + If provided, return the full path to the file given this + directory. Returns: :obj:`str`: File path or file name """ - if None in [self.calib_type, self.calib_key, self.calib_file_format]: - msgs.error(f'CODING ERROR: Instance of {self.__class__.__name__} does not have all ' + if None in [cls.calib_type, cls.calib_file_format]: + msgs.error(f'CODING ERROR: {cls..__name__} does not have all ' 'the attributes needed to construct its filename.') - filename = f'{self.calib_type}_{self.calib_key}.{self.calib_file_format}' - if not full: + filename = f'{cls.calib_type}_{calib_key}.{cls.calib_file_format}' + if calib_dir is None: return filename - if self.calib_dir is None: - msgs.error(f'CODING ERROR: Instance of {self.__class__.__name__} has not defined the ' - 'directory for the calibration files.') - return str(Path(self.calib_dir).resolve() / filename) + return str(Path(calib_dir).resolve() / filename) def build_header(self, hdr=None): """ diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 98406f9f9d..d8111c337a 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -5,6 +5,7 @@ .. include:: ../include/links.rst """ import os +from pathlib import Path from abc import ABCMeta from collections import Counter @@ -17,13 +18,14 @@ from pypeit import alignframe from pypeit import flatfield from pypeit import edgetrace -from pypeit import masterframe from pypeit import slittrace from pypeit import wavecalib from pypeit import wavetilts +from pypeit.calibframe import CalibFrame from pypeit.images import buildimage from pypeit.metadata import PypeItMetaData from pypeit.core import parse +from pypeit.core import framematch from pypeit.par import pypeitpar from pypeit.spectrographs.spectrograph import Spectrograph from pypeit import io @@ -31,11 +33,11 @@ class Calibrations: """ - This class is primarily designed to guide the generation of - calibration images and objects in PypeIt. + Class designed to guide the generation of calibration images and objects in + PypeIt. - To avoid rebuilding MasterFrames that were generated during this execution - of PypeIt, the class performs book-keeping of these master frames + It also keeps track of existing processed calibration frames to avoid + rebuilding those that were generated during this execution of PypeIt. Args: fitstbl (:class:`pypeit.metadata.PypeItMetaData`, None): @@ -52,7 +54,7 @@ class Calibrations: qadir (:obj:`str`, optional): Path for quality assessment output. If not provided, no QA plots are saved. - reuse_masters (:obj:`bool`, optional): + reuse_calibrations (:obj:`bool`, optional): Load calibration files from disk if they exist show (:obj:`bool`, optional): Show plots of PypeIt's results as the code progesses. @@ -83,7 +85,7 @@ class Calibrations: par (:class:`pypeit.par.pypeitpar.CalibrationsPar`): full_par (:class:`pypeit.par.pypeitpar.PypeItPar`): redux_path - master_dir + calib_dir det frame (:obj:`int`): 0-indexed row of the frame being calibrated in @@ -97,29 +99,19 @@ class Calibrations: """ __metaclass__ = ABCMeta - @classmethod - def get_instance(cls, fitstbl, par, spectrograph, caldir, qadir=None, - reuse_masters=False, show=False, user_slits=None): + @staticmethod + def get_instance(fitstbl, par, spectrograph, caldir, **kwargs): """ Get the instance of the appropriate subclass of :class:`Calibrations` to use for reducing data from the provided ``spectrograph``. For argument descriptions, see :class:`Calibrations`. """ - # TODO: This is overly complicated. Instead: -# calibclass = MultiSlitCalibrations if spectrograph.pypeline in ['MultiSlit', 'Echelle'] \ -# else IFUCalibrations -# return calibclass(fitstbl, par, spectrograph, caldir, qadir=qadir, -# reuse_masters=reuse_masters, show=show, slitspat_num=slitspat_num) - pypeline = spectrograph.pypeline - if spectrograph.pypeline == 'Echelle': - pypeline = 'MultiSlit' - return next(c for c in cls.__subclasses__() - if c.__name__ == (pypeline + 'Calibrations'))( - fitstbl, par, spectrograph, caldir, qadir=qadir, - reuse_masters=reuse_masters, show=show, user_slits=user_slits) + calibclass = MultiSlitCalibrations if spectrograph.pypeline in ['MultiSlit', 'Echelle'] \ + else IFUCalibrations + return calibclass(fitstbl, par, spectrograph, caldir, **kwargs) def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, - reuse_masters=False, show=False, user_slits=None): + reuse_calibrations=False, show=False, user_slits=None): # Check the types # TODO -- Remove this None option once we have data models for all the Calibrations @@ -137,24 +129,27 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.spectrograph = spectrograph # Masters - self.reuse_masters = reuse_masters - self.master_dir = caldir + self.reuse_calibrations = reuse_calibrations + self.calib_dir = Path(caldir).resolve() # Restrict on slits? self.user_slits = user_slits # QA - self.qa_path = qadir + self.qa_path = None if qadir is None else Path(qadir).resolve() + if self.qa_path is not None: + # TODO: This should only be defined in one place! Where?... + qa_png_path = self.qa_path / 'PNGs' self.write_qa = qadir is not None self.show = show # Check the directories exist - # TODO: This should be done when the masters are saved - if caldir is not None and not os.path.isdir(self.master_dir): - os.makedirs(self.master_dir) + # TODO: This should be done when the calibrations are saved + if not self.calib_dir.exists(): + self.calib_dir.mkdir(parents=True) # TODO: This should be done when the qa plots are saved - if self.write_qa and not os.path.isdir(os.path.join(self.qa_path, 'PNGs')): - os.makedirs(os.path.join(self.qa_path, 'PNGs')) + if self.write_qa and not qa_png_path.exists(): + qa_png_path.mkdir(parents=True) # Attributes self.det = None @@ -176,40 +171,47 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.wavetilts = None self.flatimages = None self.calib_ID = None - self.master_key_dict = {} + self.calib_key_dict = {} # Steps self.steps = [] self.success = False self.failed_step = None - def _prep_calibrations(self, ctype): + def _prep_calibrations(self, frametype): """ - Parse :attr:`fitstbl` for rows matching the calibration type and - initialize the :attr:`master_key_dict` + Find all frames matching a given calibration type and initialize the + calibration key. Args: - ctype (:obj:`str`): - Calibration type, e.g. 'flat', 'arc', 'bias' + frametype (:obj:`str`): + Calibration frame type. Must be a valid frame type; see + :func:`~pypeit.core.framematch.valid_frametype`. Returns: :obj:`tuple`: Returns a :obj:`list` of image files matching the - input type and a :obj:`str` with the master key. + input type and a :obj:`str` with the calibration key. """ + # NOTE: This will raise an exception if the frametype is not valid! + valid = framematch.valid_frametype(frametype, raise_error=True) + # Grab rows and files - rows = self.fitstbl.find_frames(ctype, calib_ID=self.calib_ID, index=True) - image_files = self.fitstbl.frame_paths(rows) - # Set the master keys - if self.par[f'{ctype}frame']['process']['master_setup_and_bit'] is not None: - master_key = self.fitstbl.master_key( - -1, master_setup_and_bit=self.par[f'{ctype}frame']['process']['master_setup_and_bit'], - det=self.det) + rows = self.fitstbl.find_frames(frametype, calib_ID=self.calib_ID, index=True) + if len(rows) == 0: + return [], None + + # Set the calibration key + if self.par[f'{frametype}frame']['process']['calib_setup_and_bit'] is None: + setup, calib_id \ + = self.par[f'{frametype}frame']['process']['calib_setup_and_bit'].split('_') + calib_id = ','.join(calib_id.split('-')) else: - master_key = self.fitstbl.master_key(rows[0] if len(rows) > 0 else self.frame, - det=self.det) - # Return - return image_files, master_key #self.fitstbl.master_key(rows[0] if len(rows) > 0 else self.frame, - # det=self.det) + setup = self.fitstbl['setup'][rows[0]] + calib_id = self.fitstbl['calib'][rows[0]] + detname = self.spectrograph.get_det_name(self.det) + + return self.fitstbl.frame_paths(rows), \ + CalibFrame.construct_calib_key(setup, calib_id, detname) def set_config(self, frame, det, par=None): """ @@ -236,6 +238,7 @@ def set_config(self, frame, det, par=None): # have one calibration group, but calibration frames can have many. So # for both science and calibration frames, we just set the calibration # group to the first in the returned list. + # TODO: May need to revisit this... self.calib_ID = self.fitstbl.find_frame_calib_groups(self.frame)[0] # self.calib_ID = int(self.fitstbl['calib'][frame]) self.det = det @@ -261,7 +264,11 @@ def get_arc(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - arc_files, self.master_key_dict['arc'] = self._prep_calibrations('arc') + arc_files, self.calib_key_dict['arc'] = self._prep_calibrations('arc') + + embed() + exit() + masterframe_name = masterframe.construct_file_name( buildimage.ArcImage, self.master_key_dict['arc'], master_dir=self.master_dir) @@ -393,28 +400,25 @@ def get_bias(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - bias_files, self.master_key_dict['bias'] = self._prep_calibrations('bias') - # Construct the name, in case we need it - masterframe_name = masterframe.construct_file_name(buildimage.BiasImage, - self.master_key_dict['bias'], - master_dir=self.master_dir) + bias_files, self.calib_key_dict['bias'] = self._prep_calibrations('bias') - if self.par['biasframe']['useframe'] is not None: - msgs.error("Not ready to load from disk") - - # Try to load? - if os.path.isfile(masterframe_name) and self.reuse_masters: - self.msbias = buildimage.BiasImage.from_file(masterframe_name) - elif len(bias_files) == 0: + if len(bias_files) == 0: self.msbias = None - else: - # Build it - self.msbias = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['biasframe'], bias_files) - # Save it? - self.msbias.to_master_file(masterframe_name) - - # Return + return self.msbias + + bias_file = buildimage.BiasImage.construct_file_name(self.calib_key_dict['bias'], + calib_dir=self.calib_dir) + bias_file = Path(bias_file).resolve() + if bias_file.exists() and self.reuse_calibrations: + self.msbias = buildimage.BiasImage.from_file(bias_file) + return self.msbias + + setup, calib_id, detname \ + = buildimage.BiasImage.parse_calib_key(self.calib_key_dict['bias']) + self.msbias = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['biasframe'], bias_files) + self.msbias.set_paths(self, self.calib_dir, setup, calib_id, detname) + self.msbias.to_file() return self.msbias def get_dark(self): diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index a1fd9edd40..ccdd5e4224 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -17,7 +17,7 @@ import numpy as np from pypeit import msgs -from pypeit import alignframe, datamodel, flatfield, io, masterframe, specobj, spec2dobj, utils +from pypeit import alignframe, datamodel, flatfield, io, specobj, spec2dobj, utils from pypeit.core.flux_calib import load_extinction_data, extinction_correction, fit_zeropoint, get_standard_spectrum, ZP_UNIT_CONST, PYPEIT_FLUX_SCALE from pypeit.core.flexure import calculate_image_phase from pypeit.core import coadd, extract, findobj_skymask, parse, skysub diff --git a/pypeit/core/framematch.py b/pypeit/core/framematch.py index 4ac34e942b..171bc29996 100644 --- a/pypeit/core/framematch.py +++ b/pypeit/core/framematch.py @@ -75,7 +75,7 @@ def type_names(self, type_bits, join=True): return out[0] if isinstance(type_bits, np.integer) else out -def valid_frametype(frametype, quiet=False): +def valid_frametype(frametype, quiet=False, raise_error=False): """ Confirm the provided frame type is known to ``PypeIt``. @@ -84,13 +84,21 @@ def valid_frametype(frametype, quiet=False): The frame type name. quiet (:obj:`bool`, optional): Suppress output + raise_error (:obj:`bool`, optional): + Instead of issuing a warning, raise an exception. Returns: :obj:`bool`: Flag that the frametype name is valid. """ good_frametype = frametype in FrameTypeBitMask().keys() - if not quiet and not good_frametype: - msgs.warn(f'{frametype} is not a valid PypeIt frame type.') + if not good_frametype: + _f = None + if not quiet and not raise_error: + _f = msgs.warn + elif raise_error: + _f = msgs.error + if _f is not None: + _f(f'{frametype} is not a valid PypeIt frame type.') return good_frametype diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index 7117f0d8cd..1f468d9848 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -471,7 +471,6 @@ def _validate(self): from astropy.table import Table from pypeit import io -#from pypeit import masterframe from pypeit import msgs # TODO: There are methods in, e.g., doc/scripts/build_specobj_rst.py that output @@ -1347,10 +1346,7 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, if _primary_hdr is not None: hdr_keys = np.array([k.upper() for k in self.keys()]) indx = np.isin(hdr_keys, list(_primary_hdr.keys())) - # TODO: This is a hack to deal with PYP_SPEC, but this - # needs to be cleaned up, as does masterframe more - # generally... - if np.sum(indx) > 1: # or (np.sum(indx) == 1 and hdr_keys[indx] != 'PYP_SPEC'): + if np.sum(indx) > 1: msgs.error('CODING ERROR: Primary header should not contain keywords that are the ' 'same as the datamodel for {0}.'.format(self.__class__.__name__)) @@ -1493,45 +1489,6 @@ def to_file(self, ofile, overwrite=False, checksum=True, **kwargs): io.write_to_fits(self.to_hdu(add_primary=True, **kwargs), ofile, overwrite=overwrite, checksum=checksum) - # TODO: This should be moved to a new class that subclasses from - # DataContainer. -# def to_master_file(self, master_filename=None, **kwargs): -# """ -# Wrapper on to_file() that deals with masterframe naming and header -# -# This also sets master_key and master_dir internally if -# when master_filename is provided -# -# self.hdu_prefix and self.output_to_disk must be set (or None) -# -# Args: -# master_filename (str, optional): -# Name of masterfile; if provided, parsed for master_key, master_dir -# If not provided, constructed from internal master_key, master_dir -# **kwargs: passed to to_file() -# """ -# # Output file -# if master_filename is None: -# master_filename = masterframe.construct_file_name(self, self.master_key, -# master_dir=self.master_dir) -# else: -# self.master_key, self.master_dir = masterframe.grab_key_mdir( -# master_filename, from_filename=True) -# # Header -# if hasattr(self, 'process_steps'): -# steps = self.process_steps -# else: -# steps = None -# if hasattr(self, 'files'): -# raw_files = self.files -# else: -# raw_files = None -# hdr = masterframe.build_master_header(self, self.master_key, self.master_dir, -# steps=steps, raw_files=raw_files) -# # Finish -# self.to_file(master_filename, primary_hdr=hdr, -# limit_hdus=self.output_to_disk, overwrite=True, **kwargs) - @classmethod def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): """ @@ -1571,18 +1528,6 @@ def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): # if hasattr(obj, 'filename'): # obj.filename = ifile # -# # Master this and that -# if hasattr(cls, 'master_type'): -# obj.master_key, obj.master_dir = masterframe.grab_key_mdir(ifile) -# if hasattr(obj, 'head0'): -# if 'MSTRTYP' in obj.head0.keys(): -# if obj.head0['MSTRTYP'] != cls.master_type: -# msgs.error('Master Type read from header incorrect! ' -# 'Found {0}; expected {1}'.format(obj.head0['MSTRTYP'], -# cls.master_type)) -# else: -# msgs.warn('DataContainer has `master_type` attribute but is missing the ' -# 'MSTRTYP header keyword!') # return obj def __repr__(self): diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index e632aa901f..8cd7a6bdc8 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -20,7 +20,7 @@ from pypeit import bspline from pypeit import datamodel -from pypeit import masterframe +#from pypeit import masterframe from pypeit.display import display from pypeit.core import qa from pypeit.core import flat diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 5c0aabf022..4bc540f7c8 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -130,7 +130,7 @@ class SkyRegions(pypeitimage.PypeItCalibrationImage): def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm=None, dark=None, flatimages=None, maxiters=5, ignore_saturation=True, slits=None, - mosaic=None): + mosaic=None, calib_dir=None, setup=None, calib_id=None): """ Perform basic image processing on a list of images and combine the results. diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index 721cd5ed90..07ba9778c8 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -877,13 +877,6 @@ class PypeItCalibrationImage(PypeItImage, CalibFrame): Combines internals from both base classes. """ - def build_header(self, hdr=None): - """ - Override the base class functions to combine the operations of both base - classes. - """ - return CalibFrame.build_header(self, hdr=PypeItImage.build_header(self, hdr=hdr)) - @classmethod def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): """ @@ -928,3 +921,40 @@ def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): return self + @classmethod + def from_pypeitimage(cls, pypeitImage, calib_dir, setup, calib_id, detname): + """ + Instantiate the object from an existing :class:`PypeItImage`. + + This allows for the general construction of a :class:`PypeItImage` that + can then be subsequently decorated by an appropriate type with default + attributes. See, e.g., :class:`~pypeit.images.buildimage.ArcImage`. + + Note that this is *not* a deep copy. + + Args: + pypeitImage (:class:`PypeItImage`): + The input image to convert into the appropriate type. + """ + _d = {} + for key in pypeitImage.datamodel.keys(): + if pypeitImage[key] is None: + continue + _d[key] = pypeitImage[key] + # Instantiate using the derived class + self = cls(**_d) + # Copy the PypeItImage internals + for attr in pypeitImage.internals: + setattr(self, attr, getattr(pypeitImage, attr)) + # Set the output paths + self.set_paths(calib_dir, setup, calib_id, detname) + # Done + return self + + def build_header(self, hdr=None): + """ + Override the base class functions to combine the operations of both base + classes. + """ + return CalibFrame.build_header(self, hdr=PypeItImage.build_header(self, hdr=hdr)) + diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index e3c18953e8..2d4e666d33 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -145,7 +145,7 @@ def __init__(self, frametype=None, useframe=None, exprng=None, process=None): # TODO: JFH This is not documented. What are the options for useframe and what the does it do? defaults['useframe'] = None dtypes['useframe'] = str - descr['useframe'] = 'A master calibrations file to use if it exists.' + descr['useframe'] = 'A calibrations file to use if it exists.' defaults['exprng'] = [None, None] dtypes['exprng'] = list @@ -215,7 +215,7 @@ def __init__(self, trim=None, apply_gain=None, orient=None, n_lohi=None, #replace=None, lamaxiter=None, grow=None, comb_sigrej=None, - master_setup_and_bit=None, + calib_setup_and_bit=None, rmcompact=None, sigclip=None, sigfrac=None, objlim=None, use_biasimage=None, use_overscan=None, use_darkimage=None, dark_expscale=None, @@ -412,9 +412,10 @@ def __init__(self, trim=None, apply_gain=None, orient=None, dtypes['objlim'] = [int, float] descr['objlim'] = 'Object detection limit in LA cosmics routine' - defaults['master_setup_and_bit'] = None - dtypes['master_setup_and_bit'] = str - descr['master_setup_and_bit'] = 'Over-ride the master setup and bit, e.g. "A_7". Only recommended for use with quicklook' + defaults['calib_setup_and_bit'] = None + dtypes['calib_setup_and_bit'] = str + descr['calib_setup_and_bit'] = 'Over-ride the calibration setup and bit, e.g. "A_7". ' \ + 'Only recommended for use with quicklook.' # Instantiate the parameter set super(ProcessImagesPar, self).__init__(list(pars.keys()), @@ -434,7 +435,7 @@ def from_dict(cls, cfg): 'use_overscan', 'overscan_method', 'overscan_par', 'use_darkimage', 'dark_expscale', 'spat_flexure_correct', 'use_illumflat', 'use_specillum', 'empirical_rn', 'shot_noise', 'noise_floor', 'use_pixelflat', 'combine', - 'satpix', 'master_setup_and_bit', + 'satpix', 'calib_setup_and_bit', 'n_lohi', 'mask_cr', 'lamaxiter', 'grow', 'clip', 'comb_sigrej', 'rmcompact', 'sigclip', 'sigfrac', 'objlim'] @@ -3758,7 +3759,7 @@ def __init__(self, bspline_spacing=None, sky_sigrej=None, global_sky_std=None, n 'a comma separated list of percentages to apply to _all_ slits ' \ ' For example: The following string :10,35:65,80: would select the ' \ 'first 10%, the inner 30%, and the final 20% of _all_ slits. Alternatively, you ' \ - 'can also set the argument to be "master", which will load a MasterSkyRegions ' \ + 'can also set the argument to be "calib", which will load a SkyRegions ' \ 'file that the user has generated with the pypeit_skysub_regions tool.' defaults['mask_by_boxcar'] = False @@ -3921,7 +3922,7 @@ class CalibrationsPar(ParSet): For a table with the current keywords, defaults, and descriptions, see :ref:`parameters`. """ - def __init__(self, master_dir=None, setup=None, bpm_usebias=None, biasframe=None, + def __init__(self, calib_dir=None, setup=None, bpm_usebias=None, biasframe=None, darkframe=None, arcframe=None, tiltframe=None, pixelflatframe=None, pinholeframe=None, alignframe=None, alignment=None, traceframe=None, illumflatframe=None, lampoffflatsframe=None, skyframe=None, @@ -3943,15 +3944,17 @@ def __init__(self, master_dir=None, setup=None, bpm_usebias=None, biasframe=None # Fill out parameter specifications. Only the values that are # *not* None (i.e., the ones that are defined) need to be set - defaults['master_dir'] = 'Masters' - dtypes['master_dir'] = str - descr['master_dir'] = 'If provided, it should be the name of the folder to ' \ - 'write master files. NOT A PATH. ' + defaults['calib_dir'] = 'Calibrations' + dtypes['calib_dir'] = str + descr['calib_dir'] = 'If provided, it should be the name of the folder to ' \ + 'write processed calibration files. This is not a full path name.' + # TODO: Is this ever used? This feels like an outdated parameter. + # There is no "masters" parameter... dtypes['setup'] = str descr['setup'] = 'If masters=\'force\', this is the setup name to be used: e.g., ' \ 'C_02_aa . The detector number is ignored but the other information ' \ - 'must match the Master Frames in the master frame folder.' + 'must match the calibration frames in the relevant folder.' defaults['raise_chk_error'] = True dtypes['raise_chk_error'] = bool @@ -4089,7 +4092,7 @@ def from_dict(cls, cfg): k = np.array([*cfg.keys()]) # Basic keywords - parkeys = [ 'master_dir', 'setup', 'bpm_usebias', 'raise_chk_error'] + parkeys = [ 'calib_dir', 'setup', 'bpm_usebias', 'raise_chk_error'] allkeys = parkeys + ['biasframe', 'darkframe', 'arcframe', 'tiltframe', 'pixelflatframe', 'illumflatframe', 'lampoffflatsframe', diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 87201bab7c..e2503e7f01 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -21,7 +21,7 @@ from pypeit import inputfiles from pypeit.core import parse -from pypeit import masterframe +#from pypeit import masterframe from pypeit import msgs from pypeit import calibrations from pypeit.images import buildimage diff --git a/pypeit/scripts/identify.py b/pypeit/scripts/identify.py index 79bc467245..b4a0ef8abf 100644 --- a/pypeit/scripts/identify.py +++ b/pypeit/scripts/identify.py @@ -49,7 +49,7 @@ def main(args): import numpy as np from pypeit import msgs - from pypeit import masterframe + #from pypeit import masterframe from pypeit.spectrographs.util import load_spectrograph from pypeit.core.gui.identify import Identify from pypeit.core.wavecal import waveio diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 9254086dbd..7bc801bcb6 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -30,7 +30,7 @@ import configobj from pypeit import utils -from pypeit import masterframe +#from pypeit import masterframe from pypeit import msgs from pypeit import pypeitsetup from pypeit import io diff --git a/pypeit/scripts/skysub_regions.py b/pypeit/scripts/skysub_regions.py index 11f261d8da..d70f100a0d 100644 --- a/pypeit/scripts/skysub_regions.py +++ b/pypeit/scripts/skysub_regions.py @@ -42,7 +42,7 @@ def main(args): from pypeit.core.gui.skysub_regions import SkySubGUI from pypeit.core import flexure from pypeit.scripts import utils - from pypeit import masterframe + #from pypeit import masterframe from pypeit.images import buildimage # Set the verbosity, and create a logfile if verbosity == 2 diff --git a/pypeit/scripts/trace_edges.py b/pypeit/scripts/trace_edges.py index 5e96543d0a..325da60397 100644 --- a/pypeit/scripts/trace_edges.py +++ b/pypeit/scripts/trace_edges.py @@ -67,7 +67,7 @@ def main(args): from pypeit import slittrace from pypeit.pypeit import PypeIt from pypeit.images import buildimage - from pypeit import masterframe + #from pypeit import masterframe from IPython import embed diff --git a/pypeit/scripts/utils.py b/pypeit/scripts/utils.py index eaa9010db8..2dc4eeeb02 100644 --- a/pypeit/scripts/utils.py +++ b/pypeit/scripts/utils.py @@ -18,7 +18,7 @@ from pypeit.core import procimg from pypeit import msgs from pypeit import slittrace -from pypeit import masterframe +#from pypeit import masterframe from pypeit.pypeitsetup import PypeItSetup from pypeit.inputfiles import PypeItFile diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index 97515c0daf..8963cfdfca 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -22,7 +22,7 @@ def data_path(filename): return os.path.join(data_dir, filename) -@pytest.fixture +#@pytest.fixture def fitstbl(): if os.getenv('PYPEIT_DEV') is None: fitstbl = dummy_fitstbl(directory=data_path('')) @@ -43,7 +43,7 @@ def fitstbl(): return fitstbl -@pytest.fixture +#@pytest.fixture def multi_caliBrate(fitstbl): # Grab a science file for configuration specific parameters for idx, row in enumerate(fitstbl): @@ -61,8 +61,9 @@ def multi_caliBrate(fitstbl): #calib_par['biasframe']['useframe'] = 'none' # Only use overscan calib_par['slitedges']['sync_predict'] = 'nearest' - multi_caliBrate = calibrations.MultiSlitCalibrations(fitstbl, calib_par, spectrograph, - data_path('Masters')) + caldir = data_path('Calibrations') + + multi_caliBrate = calibrations.MultiSlitCalibrations(fitstbl, calib_par, spectrograph, caldir) return reset_calib(multi_caliBrate) @@ -78,11 +79,25 @@ def reset_calib(calib): ################################################### # TESTS BEGIN HERE +def test_abstract_init(fitstbl): + par = pypeitpar.CalibrationsPar() + spectrograph = load_spectrograph('shane_kast_blue') + caldir = data_path('Calibrations') + calib = calibrations.Calibrations.get_instance(fitstbl, par, spectrograph, caldir) + assert isinstance(calib, calibrations.MultiSlitCalibrations), 'Wrong calibration object type' + spectrograph = load_spectrograph('keck_nires') + calib = calibrations.Calibrations.get_instance(fitstbl, par, spectrograph, caldir) + assert isinstance(calib, calibrations.MultiSlitCalibrations), 'Wrong calibration object type' + spectrograph = load_spectrograph('keck_kcwi') + calib = calibrations.Calibrations.get_instance(fitstbl, par, spectrograph, caldir) + assert isinstance(calib, calibrations.IFUCalibrations), 'Wrong calibration object type' + + def test_instantiate(fitstbl): - par = pypeitpar.PypeItPar() + par = pypeitpar.CalibrationsPar() spectrograph = load_spectrograph('shane_kast_blue') - caliBrate = calibrations.MultiSlitCalibrations(fitstbl, par['calibrations'], spectrograph, - data_path('Masters')) + caldir = data_path('Calibrations') + caliBrate = calibrations.MultiSlitCalibrations(fitstbl, par, spectrograph, caldir) def test_bias(multi_caliBrate): @@ -94,6 +109,8 @@ def test_bias(multi_caliBrate): """ multi_caliBrate.get_bias() +test_bias(multi_caliBrate(fitstbl())) + def test_arc(multi_caliBrate): arc = multi_caliBrate.get_arc() diff --git a/pypeit/tests/test_match.py b/pypeit/tests/test_match.py index f765ff8043..d5d6fd22e2 100644 --- a/pypeit/tests/test_match.py +++ b/pypeit/tests/test_match.py @@ -102,3 +102,18 @@ def test_exptime(): np.array([False, False, False, False])) +def test_valid_frametype(): + + assert framematch.valid_frametype('arc'), 'arc should be a valid frametype' + assert framematch.valid_frametype('arc', quiet=True), 'arc should be a valid frametype' + assert not framematch.valid_frametype('junk', quiet=True, raise_error=False), \ + 'junk should not be a valid frametype' + assert not framematch.valid_frametype('junk', quiet=False, raise_error=False), \ + 'junk should not be a valid frametype' + # These should raise errors + with pytest.raises(PypeItError): + framematch.valid_frametype('junk', quiet=False, raise_error=True) + with pytest.raises(PypeItError): + framematch.valid_frametype('junk', quiet=True, raise_error=True) + + diff --git a/pypeit/tests/test_slittrace.py b/pypeit/tests/test_slittrace.py index 77842048d9..c0237e7d32 100644 --- a/pypeit/tests/test_slittrace.py +++ b/pypeit/tests/test_slittrace.py @@ -7,7 +7,7 @@ import numpy as np from pypeit.slittrace import SlitTraceSet, SlitTraceBitMask -from pypeit import masterframe +#from pypeit import masterframe master_key = 'dummy' master_dir = os.getcwd() From 222bdbd2f6e34d1268515ed1bb13d1448e624d60 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 20 Mar 2023 16:08:53 -0700 Subject: [PATCH 076/308] biasframe tests pass --- pypeit/calibframe.py | 31 ++++++++++++---- pypeit/calibrations.py | 66 ++++++++++++++++++--------------- pypeit/images/buildimage.py | 45 +++++++++++++++++----- pypeit/images/pypeitimage.py | 17 +++------ pypeit/tests/test_calibframe.py | 1 + 5 files changed, 103 insertions(+), 57 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index d841740af7..e0eaa18566 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -139,8 +139,7 @@ def to_file(self, **kwargs): # TODO: This used to set overwrite=True, but overwrite should be part of # kwargs. The default of DataContainer is overwrite=False, so I need to # make sure that the behavior is maintained. - ofile = self.__class__.construct_file_name(self.calib_key, calib_dir=self.calib_dir) - super().to_file(ofile, hdr=hdr, **kwargs) + super().to_file(self.get_path(), hdr=hdr, **kwargs) @classmethod def from_hdu(cls, hdu, chk_version=True, **kwargs): @@ -308,7 +307,6 @@ def parse_calib_key(calib_key): setup, calib_id, detname = calib_key.split('_') return setup, ','.join(calib_id.split('-')), detname - # TODO: Change the name of this to get_path or something @classmethod def construct_file_name(cls, calib_key, calib_dir=None): """ @@ -326,13 +324,29 @@ def construct_file_name(cls, calib_key, calib_dir=None): :obj:`str`: File path or file name """ if None in [cls.calib_type, cls.calib_file_format]: - msgs.error(f'CODING ERROR: {cls..__name__} does not have all ' + msgs.error(f'CODING ERROR: {cls.__name__} does not have all ' 'the attributes needed to construct its filename.') + if calib_key is None: + msgs.error('CODING ERROR: calib_key cannot be None when constructing the ' + f'{cls.__name__} file name.') filename = f'{cls.calib_type}_{calib_key}.{cls.calib_file_format}' if calib_dir is None: return filename return str(Path(calib_dir).resolve() / filename) + def get_path(self): + """ + Return the path to the output file. + + This is a simple wrapper for the :func:`construct_file_name` classmethod + that uses the existing values of :attr:`calib_key` and :attr`calib_dir`. + + Returns: + :obj:`str`: File path or file name. This is always the full path if + :attr:`calib_dir` is defined. + """ + return self.__class__.construct_file_name(self.calib_key, calib_dir=self.calib_dir) + def build_header(self, hdr=None): """ Initialize the calibration frame header. @@ -356,9 +370,12 @@ def build_header(self, hdr=None): # name is changed. _hdr['CALIBTYP'] = (self.calib_type, 'PypeIt: Calibration frame type') _hdr['CALIBVER'] = (self.version, 'PypeIt: Calibration datamodel version') - _hdr['CALIBDIR'] = (self.calib_dir, 'PypeIt: Calibration file directory') - _hdr['CALIBKEY'] = (self.calib_key, 'PypeIt: Calibration key') - _hdr['CALIBID'] = (','.join(self.calib_id), 'PypeIt: Calibration key') + if self.calib_dir is not None: + _hdr['CALIBDIR'] = (self.calib_dir, 'PypeIt: Calibration file directory') + if self.calib_key is not None: + _hdr['CALIBKEY'] = (self.calib_key, 'PypeIt: Calibration key') + if self.calib_id is not None: + _hdr['CALIBID'] = (','.join(self.calib_id), 'PypeIt: Calibration key') # Return return _hdr diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index d8111c337a..065819be9e 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -128,29 +128,27 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.par = par self.spectrograph = spectrograph - # Masters + # Calibrations self.reuse_calibrations = reuse_calibrations self.calib_dir = Path(caldir).resolve() - - # Restrict on slits? - self.user_slits = user_slits + if not self.calib_dir.exists(): + self.calib_dir.mkdir(parents=True) # QA self.qa_path = None if qadir is None else Path(qadir).resolve() if self.qa_path is not None: # TODO: This should only be defined in one place! Where?... qa_png_path = self.qa_path / 'PNGs' - self.write_qa = qadir is not None - self.show = show - - # Check the directories exist - # TODO: This should be done when the calibrations are saved - if not self.calib_dir.exists(): - self.calib_dir.mkdir(parents=True) - # TODO: This should be done when the qa plots are saved + self.write_qa = self.qa_path is not None if self.write_qa and not qa_png_path.exists(): qa_png_path.mkdir(parents=True) + # Debugging + self.show = show + + # Restrict on slits? + self.user_slits = user_slits + # Attributes self.det = None self.frame = None @@ -171,7 +169,6 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.wavetilts = None self.flatimages = None self.calib_ID = None - self.calib_key_dict = {} # Steps self.steps = [] @@ -180,8 +177,8 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, def _prep_calibrations(self, frametype): """ - Find all frames matching a given calibration type and initialize the - calibration key. + Find all frames matching a given calibration type and return the + necessary calibration identifiers. Args: frametype (:obj:`str`): @@ -190,7 +187,7 @@ def _prep_calibrations(self, frametype): Returns: :obj:`tuple`: Returns a :obj:`list` of image files matching the - input type and a :obj:`str` with the calibration key. + input type, the setup/configuration string, and the calibration group string. """ # NOTE: This will raise an exception if the frametype is not valid! valid = framematch.valid_frametype(frametype, raise_error=True) @@ -200,18 +197,18 @@ def _prep_calibrations(self, frametype): if len(rows) == 0: return [], None - # Set the calibration key + # Grab the setup and calibration id(s) if self.par[f'{frametype}frame']['process']['calib_setup_and_bit'] is None: setup, calib_id \ = self.par[f'{frametype}frame']['process']['calib_setup_and_bit'].split('_') - calib_id = ','.join(calib_id.split('-')) + # Here calib_id is a list of strings + calib_id = calib_id.split('-') else: setup = self.fitstbl['setup'][rows[0]] + # Here calib_id is a string of comma-separated values calib_id = self.fitstbl['calib'][rows[0]] - detname = self.spectrograph.get_det_name(self.det) - - return self.fitstbl.frame_paths(rows), \ - CalibFrame.construct_calib_key(setup, calib_id, detname) + + return self.fitstbl.frame_paths(rows), setup, CalibFrame.ingest_calib_id(calib_id) def set_config(self, frame, det, par=None): """ @@ -400,25 +397,34 @@ def get_bias(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - bias_files, self.calib_key_dict['bias'] = self._prep_calibrations('bias') + bias_files, setup, calib_id = self._prep_calibrations('bias') if len(bias_files) == 0: + # There are no bias files, so we're done! self.msbias = None return self.msbias - bias_file = buildimage.BiasImage.construct_file_name(self.calib_key_dict['bias'], - calib_dir=self.calib_dir) - bias_file = Path(bias_file).resolve() + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) + + # Construct the expected calibration frame file name + bias_file = Path(buildimage.BiasImage.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + + # If it exists and we want to reuse it, do so: if bias_file.exists() and self.reuse_calibrations: self.msbias = buildimage.BiasImage.from_file(bias_file) return self.msbias - setup, calib_id, detname \ - = buildimage.BiasImage.parse_calib_key(self.calib_key_dict['bias']) + # Otherwise, create the processed file. self.msbias = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['biasframe'], bias_files) - self.msbias.set_paths(self, self.calib_dir, setup, calib_id, detname) + self.par['biasframe'], bias_files, + calib_dir=self.calib_dir, setup=setup, + calib_id=calib_id) + # Save the result self.msbias.to_file() + # Return it return self.msbias def get_dark(self): diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 4bc540f7c8..698fbc659d 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -118,7 +118,8 @@ class SkyRegions(pypeitimage.PypeItCalibrationImage): calib_file_format = 'fits.gz' -# Convert frame type into an Image +# Convert frame type into an Image. These all should subclass from +# PypeItCalibrationImage. frame_image_classes = dict( bias=BiasImage, dark=DarkImage, @@ -126,6 +127,10 @@ class SkyRegions(pypeitimage.PypeItCalibrationImage): tilt=TiltImage, trace=TraceImage, align=AlignImage) +""" +The list of classes that :func:`buildimage_fromlist` should use to decorate for +the specified frame types. +""" def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm=None, dark=None, @@ -183,14 +188,31 @@ def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm= flexure between the image and the slits, and for constructing the slit-illumination correction. See :class:`pypeit.images.rawimage.RawImage.process`. + mosaic (:obj:`bool`, optional): + Flag processed image will be a mosaic of multiple detectors. By + default, this is determined by the format of ``det`` and whether or + not this is a bias or dark frame. *Only used for testing purposes.* + calib_dir (:obj:`str`, `Path`_, optional): + The directory for processed calibration files. Required for + elements of :attr:`frame_image_classes`, ignored otherwise. + setup (:obj:`str`, optional): + The setup/configuration identifier to use for this dataset. + Required for elements of :attr:`frame_image_classes`, ignored + otherwise. + calib_id (:obj:`str`, optional): + The string listing the set of calibration groups associated with + this dataset. Required for elements of :attr:`frame_image_classes`, + ignored otherwise. Returns: - :class:`~pypeit.images.pypeitimage.PypeItImage`: The processed and - combined image. + :class:`~pypeit.images.pypeitimage.PypeItImage`, + :class:`~pypeit.images.pypeitimage.PypeItCalibrationImage`: The + processed and combined image. """ # Check if not isinstance(frame_par, pypeitpar.FrameGroupPar): - msgs.error('Provided ParSet for must be type FrameGroupPar.') + msgs.error('Provided ParSet for must be type FrameGroupPar, not ' + f'{frame_par.__class__.__name__}.') if not valid_frametype(frame_par['frametype'], quiet=True): # NOTE: This should not be necessary because FrameGroupPar explicitly # requires frametype to be valid @@ -208,11 +230,16 @@ def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm= maxiters=maxiters, ignore_saturation=ignore_saturation, slits=slits, combine_method=frame_par['process']['combine'], mosaic=mosaic) - # Decorate according to the type of calibration, primarily as needed for - # handling MasterFrames. WARNING: Any internals (i.e., the ones defined by - # the _init_internals method) in pypeitImage are lost here. - return frame_image_classes[frame_par['frametype']].from_pypeitimage(pypeitImage) \ - if frame_par['frametype'] in frame_image_classes.keys() else pypeitImage + # Return class type, if returning any of the frame_image_classes + cls = frame_image_classes[frame_par['frametype']] \ + if frame_par['frametype'] in frame_image_classes.keys() else None + + # Decorate and return according to the type of calibration, primarily as + # needed for handling calibration images. WARNING: Any internals (i.e., the + # ones defined by the _init_internals method) in pypeitImage are lost here. + return pypeitImage if cls is None \ + else cls.from_pypeitimage(pypeitImage, calib_dir, setup, calib_id, + spectrograph.get_det_name(det)) diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index 07ba9778c8..cf73899e74 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -922,7 +922,8 @@ def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): return self @classmethod - def from_pypeitimage(cls, pypeitImage, calib_dir, setup, calib_id, detname): + def from_pypeitimage(cls, pypeitImage, calib_dir=None, setup=None, calib_id=None, + detname=None): """ Instantiate the object from an existing :class:`PypeItImage`. @@ -936,16 +937,10 @@ def from_pypeitimage(cls, pypeitImage, calib_dir, setup, calib_id, detname): pypeitImage (:class:`PypeItImage`): The input image to convert into the appropriate type. """ - _d = {} - for key in pypeitImage.datamodel.keys(): - if pypeitImage[key] is None: - continue - _d[key] = pypeitImage[key] - # Instantiate using the derived class - self = cls(**_d) - # Copy the PypeItImage internals - for attr in pypeitImage.internals: - setattr(self, attr, getattr(pypeitImage, attr)) + # Instantiate from a PypeItImage + self = super().from_pypeitimage(pypeitImage) + if None in [calib_dir, setup, calib_id, detname]: + return self # Set the output paths self.set_paths(calib_dir, setup, calib_id, detname) # Done diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index 119cf2ce24..ed6fe96b50 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -12,6 +12,7 @@ from pypeit import io from pypeit.tests.tstutils import data_path + class NoTypeCalibFrame(CalibFrame): # These are the minimal things that need to be defined to actually # instantiate a derive class of CalibFrame From efd050f664f1dcbbd6c575b55d9608596225d62c Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 21 Mar 2023 19:29:48 +0000 Subject: [PATCH 077/308] debug --- pypeit/spectrographs/keck_kcwi.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 1e0899b88d..e02b42a79b 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -985,5 +985,16 @@ def sinfunc2d(x, amp, scl, phase, wavelength, angle): phase, angle = 0.0, -45.34 # No phase, and a decent guess at the angle p0 = [amp, scale, phase, wavelength, angle] popt, pcov = curve_fit(sinfunc2d, (xx[gpmask], yy[gpmask]), det_resp[gpmask], p0=p0) - embed() + # TODO :: REMOVE THIS CODE BEFORE MERGING THE PR!! + debug = True + if debug: + embed() + mmm = sinfunc2d((xx, yy), *popt) + plt.subplot(131) + plt.imshow(det_resp, vmin=np.min(mmm), vmax=np.max(mmm)) + plt.subplot(132) + plt.imshow(mmm, vmin=np.min(mmm), vmax=np.max(mmm)) + plt.subplot(133) + plt.imshow(det_resp - mmm, vmin=np.min(mmm - 1), vmax=np.max(mmm - 1)) + plt.show() return sinfunc2d((xx, yy), *popt) From fc49d972e7cbe25a5cfadbe21462695ac8dbdbcc Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 21 Mar 2023 20:40:47 +0000 Subject: [PATCH 078/308] codeblock --- pypeit/alignframe.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 3473ad3d1e..04225a0302 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -336,12 +336,14 @@ def __init__(self, traces, locations, tilts): slices to be aligned correctly. Ideally, this variable will be assigned the value of alignments.traces. However, this can also be assigned the left and right slit edges: + .. code-block:: python traces = np.append(left.reshape((left.shape[0], 1, left.shape[1])), right.reshape((left.shape[0], 1, left.shape[1])), axis=1) # In this case, you should set the locations argument to locations=np.array([0,1]) + locations : `numpy.ndarray`_, list locations along the slit of the alignment traces. Must be a 1D array of the same length as alignments.traces.shape[1] From c2a1156aad2084661c493ac3b76fce1d69b5c7e1 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 22 Mar 2023 07:46:39 -0700 Subject: [PATCH 079/308] working through changes to calibration frames --- pypeit/alignframe.py | 56 +-- pypeit/calibframe.py | 7 +- pypeit/calibrations.py | 622 ++++++++++++++++-------------- pypeit/edgetrace.py | 141 +++---- pypeit/flatfield.py | 333 ++++++++-------- pypeit/images/buildimage.py | 16 +- pypeit/slittrace.py | 80 ++-- pypeit/tests/test_alignments.py | 31 +- pypeit/tests/test_calibframe.py | 13 +- pypeit/tests/test_calibrations.py | 37 +- pypeit/tests/test_flatfield.py | 31 +- pypeit/tests/test_slittrace.py | 83 +--- 12 files changed, 714 insertions(+), 736 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index da8ecb706d..b88d501c26 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -10,12 +10,14 @@ from pypeit.display import display from pypeit.core import findobj_skymask -from pypeit import datamodel, msgs +from pypeit import datamodel +from pypeit import calibframe +from pypeit import msgs -class Alignments(datamodel.DataContainer): +class Alignments(calibframe.CalibFrame): """ - Simple DataContainer for the alignment output + Calibration frame holding result of slit alignment processing. All of the items in the datamodel are required for instantiation, although they can be None (but shouldn't be) @@ -24,25 +26,22 @@ class Alignments(datamodel.DataContainer): .. include:: ../include/class_datamodel_alignments.rst """ - minimum_version = '1.1.0' version = '1.1.0' - # I/O - output_to_disk = None # This writes all items that are not None - hdu_prefix = None + # Calibration frame attributes + calib_type = 'Alignment' + calib_file_format = 'fits' - # Master fun - master_type = 'Alignment' - master_file_format = 'fits' - - datamodel = {'alignframe': dict(otype=np.ndarray, atype=np.floating, + # Datamodel already includes PYP_SPEC, so no need to combine it with the + # CalibFrame base datamodel. + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), + 'alignframe': dict(otype=np.ndarray, atype=np.floating, descr='Processed, combined alignment frames'), 'nspec': dict(otype=int, descr='The number of spectral elements'), 'nalign': dict(otype=int, descr='Number of alignment traces in each slit'), 'nslits': dict(otype=int, descr='The number of slits'), 'traces': dict(otype=np.ndarray, atype=np.floating, descr='Traces of the alignment frame'), - 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'spat_id': dict(otype=np.ndarray, atype=np.integer, descr='Slit spat_id ')} def __init__(self, alignframe=None, nspec=None, nalign=None, nslits=None, @@ -53,11 +52,6 @@ def __init__(self, alignframe=None, nspec=None, nalign=None, nslits=None, # Setup the DataContainer datamodel.DataContainer.__init__(self, d=d) - def _init_internals(self): - # Master stuff - self.master_key = None - self.master_dir = None - def _validate(self): # TBC - need to check that all alignment traces have been correctly traced pass @@ -82,17 +76,16 @@ def is_synced(self, slits): """ if not np.array_equal(self.spat_id, slits.spat_id): - msgs.error("Your alignment solutions are out of sync with your slits. Remove Masters and start from scratch") + msgs.error('Your alignment solutions are out of sync with your slits. Remove ' + 'Calibrations and restart from scratch.') def show(self, slits=None): """ - Simple wrapper to show_alignment() - - Parameters - ---------- - - Returns: + Simple wrapper for :func:`show_alignment`. + Args: + slits (:class:`pypeit.slittrace.SlitTraceSet`, optional): + Slit properties, including traces. """ # Show show_alignment(self.alignframe, align_traces=self.traces, slits=slits) @@ -131,17 +124,6 @@ class TraceAlignment: slits (:class:`~pypeit.slittrace.SlitTraceSet`): Slit edge traces. """ - version = '1.0.0' - - # Frametype is a class attribute - frametype = 'alignment' - """ - Frame type designation. - """ - - master_type = 'Alignment' - master_file_format = 'fits' - def __init__(self, rawalignimg, slits, spectrograph, alignpar, det=1, binning=None, qa_path=None, msbpm=None): @@ -289,7 +271,7 @@ def show_alignment(alignframe, align_traces=None, slits=None, clear=False): ---------- alignframe : `numpy.ndarray`_ - Image to be plotted (i.e. the master align frame) + Image to be plotted (i.e. the align frame) align_traces : list, optional The align traces slits : :class:`pypeit.slittrace.SlitTraceSet`, optional diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index e0eaa18566..c5d48eeae1 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -117,6 +117,7 @@ def set_paths(self, odir, setup, calib_id, detname): # NOTE: Only need to overload to_file because the only thing special about # CalibFrame is that the paths are pre-defined. + # TODO: Allow the file path to be passed directly to this function? def to_file(self, **kwargs): """ Overrides the base-class function, forcing the naming convention. @@ -171,7 +172,11 @@ def from_hdu(cls, hdu, chk_version=True, **kwargs): # NOTE: If multiple HDUs are parsed, this assumes that the information # necessary to set all the calib internals is always in *every* header. # BEWARE! - hdr_to_parse = hdu[parsed_hdus[0]].header + try: + hdr_to_parse = hdu[parsed_hdus[0]].header + except: + embed() + exit() # TODO: Consider making the next two lines a function so that they don't # need to be repeated in PypeItCalibrationImage. self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 065819be9e..92a5b8b96c 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -1,5 +1,5 @@ """ -Class for guiding calibration object generation in PypeIt +Class for guiding calibration object generation in PypeIt. .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst @@ -48,21 +48,20 @@ class Calibrations: for Calibrations spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph object - caldir (:obj:`str`, None): - Path to write the output calibrations. If None, calibration - data are not saved. + caldir (:obj:`str`, `Path`_): + Path to write the output calibrations. qadir (:obj:`str`, optional): Path for quality assessment output. If not provided, no QA plots are saved. - reuse_calibrations (:obj:`bool`, optional): - Load calibration files from disk if they exist + reuse (:obj:`bool`, optional): + Instead of reprocessing them, load existing calibration files from + disk if they exist. show (:obj:`bool`, optional): - Show plots of PypeIt's results as the code progesses. - Requires interaction from the users. - slitspat_num (??): - ?? - - .. todo: Fix these + Show plots of PypeIt's results as the code progresses. Requires + interaction from the users. + user_slits (:obj:`dict`, optional): + A limited set of slits selected by the user for analysis. See + :func:`~pypeit.slittrace.SlitTraceSet.user_mask`. Attributes: fitstbl (:class:`pypeit.metadata.PypeItMetaData`): @@ -111,7 +110,7 @@ def get_instance(fitstbl, par, spectrograph, caldir, **kwargs): return calibclass(fitstbl, par, spectrograph, caldir, **kwargs) def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, - reuse_calibrations=False, show=False, user_slits=None): + reuse=False, show=False, user_slits=None): # Check the types # TODO -- Remove this None option once we have data models for all the Calibrations @@ -129,7 +128,7 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.spectrograph = spectrograph # Calibrations - self.reuse_calibrations = reuse_calibrations + self.reuse = reuse self.calib_dir = Path(caldir).resolve() if not self.calib_dir.exists(): self.calib_dir.mkdir(parents=True) @@ -154,7 +153,7 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.frame = None self.binning = None - self.shape = None +# self.shape = None self.msarc = None self.mstilt = None @@ -195,18 +194,18 @@ def _prep_calibrations(self, frametype): # Grab rows and files rows = self.fitstbl.find_frames(frametype, calib_ID=self.calib_ID, index=True) if len(rows) == 0: - return [], None + return [], None, None # Grab the setup and calibration id(s) if self.par[f'{frametype}frame']['process']['calib_setup_and_bit'] is None: + setup = self.fitstbl['setup'][rows[0]] + # Here calib_id is a string of comma-separated values + calib_id = self.fitstbl['calib'][rows[0]] + else: setup, calib_id \ = self.par[f'{frametype}frame']['process']['calib_setup_and_bit'].split('_') # Here calib_id is a list of strings calib_id = calib_id.split('-') - else: - setup = self.fitstbl['setup'][rows[0]] - # Here calib_id is a string of comma-separated values - calib_id = self.fitstbl['calib'][rows[0]] return self.fitstbl.frame_paths(rows), setup, CalibFrame.ingest_calib_id(calib_id) @@ -246,100 +245,104 @@ def set_config(self, frame, det, par=None): def get_arc(self): """ - Load or generate the Arc image - - Requirements: - master_key, det, par - - Args: + Load or generate the arc calibration frame. Returns: - `numpy.ndarray`_: :attr:`msarc` image - + :class:`pypeit.images.buildimage.ArcImage`: The processed + calibration image. """ # Check internals self._chk_set(['det', 'calib_ID', 'par']) # Prep - arc_files, self.calib_key_dict['arc'] = self._prep_calibrations('arc') + raw_files, setup, calib_id = self._prep_calibrations('arc') - embed() - exit() + if len(raw_files) == 0: + # There are no arc files, so we're done! + self.msarc = None + msgs.warn('No frametype=arc files available!') + return self.msarc - masterframe_name = masterframe.construct_file_name( - buildimage.ArcImage, self.master_key_dict['arc'], master_dir=self.master_dir) + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) - # Reuse master frame? - if os.path.isfile(masterframe_name) and self.reuse_masters: - self.msarc = buildimage.ArcImage.from_file(masterframe_name) - elif len(arc_files) == 0: - msgs.warn("No frametype=arc files to build arc") - return - else: # Build it - msgs.info("Preparing a master {0:s} frame".format(buildimage.ArcImage.master_type)) - self.msarc = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['arcframe'], arc_files, - bias=self.msbias, bpm=self.msbpm, - dark=self.msdark) - # Save - self.msarc.to_master_file(masterframe_name) + # Construct the expected calibration frame file name + arc_file = Path(buildimage.ArcImage.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() - # Return + # If it exists and we want to reuse it, do so: + if arc_file.exists() and self.reuse: + self.msarc = buildimage.ArcImage.from_file(arc_file) + return self.msarc + + # Otherwise, create the processed file. + msgs.info(f'Preparing a {buildimage.ArcImage.calib_type} calibration frame.') + self.msarc = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['arcframe'], raw_files, + bias=self.msbias, bpm=self.msbpm, + dark=self.msdark, calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) + # Save the result + self.msarc.to_file() + # Return it return self.msarc def get_tiltimg(self): """ - Load or generate the Tilt image - - Requirements: - master_key, det, par - - Args: + Load or generate the tilt calibration frame. Returns: - `numpy.ndarray`_: :attr:`mstilt` image - + :class:`pypeit.images.buildimage.TiltImage`: The processed + calibration image. """ # Check internals self._chk_set(['det', 'calib_ID', 'par']) # Prep - tilt_files, self.master_key_dict['tilt'] = self._prep_calibrations('tilt') - masterframe_name = masterframe.construct_file_name( - buildimage.TiltImage, self.master_key_dict['tilt'], master_dir=self.master_dir) + raw_files, setup, calib_id = self._prep_calibrations('tilt') - # Reuse master frame? - if os.path.isfile(masterframe_name) and self.reuse_masters: - self.mstilt = buildimage.TiltImage.from_file(masterframe_name) - elif len(tilt_files) == 0: - msgs.warn("No frametype=tilt files to build tiltimg") - return - else: # Build - msgs.info("Preparing a master {0:s} frame".format(buildimage.TiltImage.master_type)) - # NOTE: Slits passed for the spatial flexure correction - self.mstilt = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['tiltframe'], tilt_files, - bias=self.msbias, bpm=self.msbpm, - dark=self.msdark, slits=self.slits) + if len(raw_files) == 0: + # There are no arc files, so we're done! + self.mstilt = None + msgs.warn('No frametype=tilt files available!') + return self.mstilt - # Save to Masters - self.mstilt.to_master_file(masterframe_name) + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) - # TODO in the future add in a tilt_inmask - #self._update_cache('tilt', 'tilt_inmask', self.mstilt_inmask) + # Construct the expected calibration frame file name + tilt_file = Path(buildimage.TiltImage.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() - # Return + # If it exists and we want to reuse it, do so: + if tilt_file.exists() and self.reuse: + self.mstilt = buildimage.TiltImage.from_file(tilt_file) + return self.mstilt + + # Otherwise, create the processed file. + msgs.info(f'Preparing a {buildimage.TiltImage.calib_type} calibration frame.') + self.mstilt = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['tiltframe'], raw_files, + bias=self.msbias, bpm=self.msbpm, + dark=self.msdark, slits=self.slits, + calib_dir=self.calib_dir, setup=setup, + calib_id=calib_id) + # Save the result + self.mstilt.to_file() + # Return it return self.mstilt def get_align(self): """ - Load or generate the alignment frame + Load or generate the alignment calibration frame. Requires: :attr:`slits`, :attr:`det`, :attr:`par` Returns: - :class:`pypeit.alignframe.Alignments`: - + :class:`pypeit.alignframe.Alignments`: The processed alignment + image. """ # Check for existing data if not self._chk_objs(['msbpm', 'slits']): @@ -349,57 +352,64 @@ def get_align(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - align_files, self.master_key_dict['align'] = self._prep_calibrations('align') + raw_files, setup, calib_id = self._prep_calibrations('align') - masterframe_filename = masterframe.construct_file_name(alignframe.Alignments, - self.master_key_dict['align'], - master_dir=self.master_dir) + if len(raw_files) == 0: + # There are no arc files, so we're done! + self.alignments = None + return self.alignments - # Reuse master frame? - if os.path.isfile(masterframe_filename) and self.reuse_masters: - self.alignments = alignframe.Alignments.from_file(masterframe_filename) + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) + + # Construct the expected calibration frame file name + align_file = Path(alignframe.Alignments.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + + # If it exists and we want to reuse it, do so: + if align_file.exists() and self.reuse: + self.alignments = alignframe.Alignments.from_file(align_file) self.alignments.is_synced(self.slits) return self.alignments + # Otherwise, create the processed file. + msgs.info(f'Preparing a {alignframe.Alignments.calib_type} calibration frame.') msalign = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['alignframe'], align_files, + self.par['alignframe'], raw_files, bias=self.msbias, bpm=self.msbpm, - dark=self.msdark) + dark=self.msdark, calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) # Extract some header info needed by the algorithm - binning = self.spectrograph.get_meta_value(align_files[0], 'binning') + # TODO: We have the fitstbl, can we get it from there, instead of having + # to reread the file? + binning = self.spectrograph.get_meta_value(raw_files[0], 'binning') # Instantiate # TODO: From JFH: Do we need the bpm here? Check that this was in the previous code. alignment = alignframe.TraceAlignment(msalign, self.slits, self.spectrograph, self.par['alignment'], det=self.det, binning=binning, qa_path=self.qa_path, msbpm=self.msbpm) - # Run self.alignments = alignment.run(show=self.show) - # Save to Masters - self.alignments.to_master_file(masterframe_filename) - + self.alignments.to_file() return self.alignments def get_bias(self): """ - Load or generate the bias frame/command - - Requirements: - master_key, det, par + Load or generate the bias calibration frame. Returns: - :class:`pypeit.images.buildimage.BiasImage`: - + :class:`pypeit.images.buildimage.BiasImage`: The processed + calibration image. """ - # Check internals self._chk_set(['det', 'calib_ID', 'par']) # Prep - bias_files, setup, calib_id = self._prep_calibrations('bias') + raw_files, setup, calib_id = self._prep_calibrations('bias') - if len(bias_files) == 0: + if len(raw_files) == 0: # There are no bias files, so we're done! self.msbias = None return self.msbias @@ -413,13 +423,13 @@ def get_bias(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if bias_file.exists() and self.reuse_calibrations: + if bias_file.exists() and self.reuse: self.msbias = buildimage.BiasImage.from_file(bias_file) return self.msbias # Otherwise, create the processed file. self.msbias = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['biasframe'], bias_files, + self.par['biasframe'], raw_files, calib_dir=self.calib_dir, setup=setup, calib_id=calib_id) # Save the result @@ -429,135 +439,126 @@ def get_bias(self): def get_dark(self): """ - Load or generate the dark image + Load or generate the dark calibration frame. Returns: - :class:`~pypeit.images.buildimage.DarkImage`: The combined dark - image. + :class:`pypeit.images.buildimage.DarkImage`: The processed + calibration image. """ # Check internals self._chk_set(['det', 'calib_ID', 'par']) # Prep - dark_files, self.master_key_dict['dark'] = self._prep_calibrations('dark') - # Construct the name, in case we need it - masterframe_name = masterframe.construct_file_name(buildimage.DarkImage, - self.master_key_dict['dark'], - master_dir=self.master_dir) + raw_files, setup, calib_id = self._prep_calibrations('dark') - # Try to load? - if os.path.isfile(masterframe_name) and self.reuse_masters: - self.msdark = buildimage.DarkImage.from_file(masterframe_name) - elif len(dark_files) == 0: + if len(raw_files) == 0: + # There are no dark files, so we're done! self.msdark = None - else: - # TODO: If a bias has been constructed and it will be subtracted - # from the science images, it should also be subtracted from this - # image. If it isn't, subtracting the dark will effectively lead to - # subtracting the bias twice. - # TODO: The order is such that the bpm doesn't exist yet. But - # calling buildimage_fromlist will create the bpm if it isn't - # passed. So calling get_dark then get_bpm unnecessarily creates - # the bpm twice. Is there any reason why creation of the bpm should - # come after the dark, or can we change the order? - # Build and save it - self.msdark = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['darkframe'], dark_files, - bias=self.msbias) - self.msdark.to_master_file(masterframe_name) + return self.msdark - # Return - return self.msdark + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) + # Construct the expected calibration frame file name + dark_file = Path(buildimage.DarkImage.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() - def get_bpm(self): - """ - Load or generate the bad pixel mask + # If it exists and we want to reuse it, do so: + if dark_file.exists() and self.reuse: + self.msdark = buildimage.DarkImage.from_file(dark_file) + return self.msdark - TODO -- Should consider doing this outside of calibrations as it is - more specific to the science frame - unless we want to generate a BPM - from the bias frame. + # TODO: If a bias has been constructed and it will be subtracted from + # the science images, it should also be subtracted from this image. If + # it isn't, subtracting the dark will effectively lead to subtracting + # the bias twice. - This needs to be for the *trimmed* and correctly oriented image! + # TODO: The order is such that the bpm doesn't exist yet. But calling + # buildimage_fromlist will create the bpm if it isn't passed. So + # calling get_dark then get_bpm unnecessarily creates the bpm twice. Is + # there any reason why creation of the bpm should come after the dark, + # or can we change the order? - Requirements: - Instrument dependent + # Otherwise, create the processed file. + self.msdark = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['darkframe'], raw_files, + bias=self.msbias, calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) + # Save the result + self.msdark.to_file() + # Return it + return self.msdark - Returns: - `numpy.ndarray`_: :attr:`msbpm` image of bad pixel mask + def get_bpm(self): + """ + Load or generate the bad pixel mask. + This is primarily a wrapper for + :func:`~pypeit.spectrographs.spectrograph.Spectrograph.bpm`. + + Returns: + `numpy.ndarray`_: The bad pixel mask, which should match the shape + and orientation of a *trimmed* and PypeIt-oriented science image! """ # Check internals self._chk_set(['par', 'det']) - - # Generate a bad pixel mask (should not repeat) - self.master_key_dict['bpm'] = self.fitstbl.master_key(self.frame, det=self.det) - - # Build the data-section image - sci_image_file = self.fitstbl.frame_paths(self.frame) - - # Check if a bias frame exists, and if a BPM should be generated - msbias = None - if self.par['bpm_usebias']: - msbias = self.msbias # Build it - self.msbpm = self.spectrograph.bpm(sci_image_file, self.det, msbias=msbias) - self.shape = self.msbpm.shape - + self.msbpm = self.spectrograph.bpm(self.fitstbl.frame_paths(self.frame), self.det, + msbias=self.msbias if self.par['bpm_usebias'] else None) # Return return self.msbpm def get_flats(self): """ - Load or generate a normalized pixel flat and slit illumination - flat. - - Requires :attr:`slits`, :attr:`wavetilts`, :attr:`det`, - :attr:`par`. - - Constructs :attr:`flatimages`. + Load or generate the flat-field calibration images. + Returns: + :class:`~pypeit.flatfield.FlatImages`: The processed calibration + image. """ # Check for existing data if not self._chk_objs(['msarc', 'msbpm', 'slits', 'wv_calib']): msgs.warn('Must have the arc, bpm, slits, and wv_calib defined to make flats! ' 'Skipping and may crash down the line') + # TODO: Why is this an empty object and not None? self.flatimages = flatfield.FlatImages() - return + return self.flatimages # Slit and tilt traces are required to flat-field the data if not self._chk_objs(['slits', 'wavetilts']): # TODO: Why doesn't this fault? msgs.warn('Flats were requested, but there are quantities missing necessary to ' 'create flats. Proceeding without flat fielding....') + # TODO: Why is this an empty object and not None? self.flatimages = flatfield.FlatImages() - return + return self.flatimages # Check internals self._chk_set(['det', 'calib_ID', 'par']) # Prep - illum_image_files, self.master_key_dict['flat'] = self._prep_calibrations('illumflat') - pixflat_image_files, self.master_key_dict['flat'] = self._prep_calibrations('pixelflat') - # flats lamp off - flatLoff_image_files, _ = self._prep_calibrations('lampoffflats') + raw_illum_files, setup, calib_id = self._prep_calibrations('illumflat') + # Using _prep_calibrations is a bit overkill here... + raw_pixel_files = self._prep_calibrations('pixelflat')[0] + raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] - masterframe_filename = masterframe.construct_file_name(flatfield.FlatImages, - self.master_key_dict['flat'], - master_dir=self.master_dir) - # The following if-elif-else does: - # 1. Try to load a MasterFrame (if reuse_masters is True). If successful, pass it back - # 2. Build from scratch - # 3. Load any user-supplied images to over-ride any built - - # Load MasterFrame? - if os.path.isfile(masterframe_filename) and self.reuse_masters: - self.flatimages = flatfield.FlatImages.from_file(masterframe_filename) + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) + + # Construct the expected calibration frame file name + flat_file = Path(flatfield.FlatImages.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + + # If it exists and we want to reuse it, do so: + if flat_file.exists() and self.reuse: + self.flatimages = flatfield.FlatImages.from_file(flat_file) self.flatimages.is_synced(self.slits) # Load user defined files if self.par['flatfield']['pixelflat_file'] is not None: # Load - msgs.info('Using user-defined file: {0}'.format('pixelflat_file')) + msgs.info(f'Using user-defined file: {self.par["flatfield"]["pixelflat_file"]}') with io.fits_open(self.par['flatfield']['pixelflat_file']) as hdu: nrm_image = flatfield.FlatImages(pixelflat_norm=hdu[self.det].data) self.flatimages = flatfield.merge(self.flatimages, nrm_image) @@ -567,63 +568,73 @@ def get_flats(self): # Generate the image pixelflatImages, illumflatImages = None, None + lampoff_flat = None # Check if the image files are the same pix_is_illum = Counter(illum_image_files) == Counter(pixflat_image_files) - if len(pixflat_image_files) > 0: - msgs.info('Creating Master Pixel Flat using files: ') + if len(raw_pixel_files) > 0: + msgs.info('Creating pixel-flat calibration frame using files: ') for f in pixflat_image_files: msgs.prindent(f'{os.path.basename(f)}') pixel_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['pixelflatframe'], - pixflat_image_files, dark=self.msdark, - bias=self.msbias, bpm=self.msbpm) - if len(flatLoff_image_files) > 0: + raw_pixel_files, dark=self.msdark, + bias=self.msbias, bpm=self.msbpm, + calib_dir=self.calib_dir, setup=setup, + calib_id=calib_id) + if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') - for f in flatLoff_image_files: + for f in raw_lampoff_files: msgs.prindent(f'{os.path.basename(f)}') lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['lampoffflatsframe'], - flatLoff_image_files, + raw_lampoff_files, dark=self.msdark, bias=self.msbias, - bpm=self.msbpm) + bpm=self.msbpm, + calib_dir=self.calib_dir, setup=setup, + calib_id=calib_id) pixel_flat = pixel_flat.sub(lampoff_flat) # Initialise the pixel flat pixelFlatField = flatfield.FlatField(pixel_flat, self.spectrograph, self.par['flatfield'], self.slits, self.wavetilts, self.wv_calib, qa_path=self.qa_path, - master_key=self.master_key_dict['flat']) + calib_key=pixel_flat.calib_key) # Generate pixelflatImages = pixelFlatField.run(doqa=self.write_qa, show=self.show) # Set flatimages in case we want to apply the pixel-to-pixel sensitivity corrections to the illumflat self.flatimages = pixelflatImages # Only build illum_flat if the input files are different from the pixel flat - if not pix_is_illum and len(illum_image_files) > 0: - msgs.info('Creating Master Illumination Flat using files: ') + if not pix_is_illum and len(raw_illum_files) > 0: + msgs.info('Creating illumination flat calibration frame using files: ') for f in illum_image_files: msgs.prindent(f'{os.path.basename(f)}') illum_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['illumflatframe'], illum_image_files, + self.par['illumflatframe'], raw_illum_files, dark=self.msdark, bias=self.msbias, - flatimages=self.flatimages, bpm=self.msbpm) - if len(flatLoff_image_files) > 0: + flatimages=self.flatimages, bpm=self.msbpm, + calib_dir=self.calib_dir, setup=setup, + calib_id=calib_id) + if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') - for f in flatLoff_image_files: + for f in raw_lampoff_files: msgs.prindent(f'{os.path.basename(f)}') - # TODO: Can we just use the one created above if it exists? - lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['lampoffflatsframe'], - flatLoff_image_files, - dark=self.msdark, bias=self.msbias, - bpm=self.msbpm) + if lampoff_flat is None: + lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['lampoffflatsframe'], + raw_lampoff_files, + dark=self.msdark, + bias=self.msbias, bpm=self.msbpm, + calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) illum_flat = illum_flat.sub(lampoff_flat) # Initialise the pixel flat illumFlatField = flatfield.FlatField(illum_flat, self.spectrograph, self.par['flatfield'], self.slits, self.wavetilts, - self.wv_calib, spat_illum_only=True, qa_path=self.qa_path, - master_key=self.master_key_dict['flat']) + self.wv_calib, spat_illum_only=True, + qa_path=self.qa_path, + calib_key=illum_flat.calib_key) # Generate illumflatImages = illumFlatField.run(doqa=self.write_qa, show=self.show) @@ -639,18 +650,23 @@ def get_flats(self): # the attributes prefixed with 'pixelflat_' will all be None. self.flatimages = illumflatImages - # Save flat images if self.flatimages is not None: - self.flatimages.to_master_file(masterframe_filename) + # Save flat images + self.flatimages.to_file() # Save slits too, in case they were tweaked - self.slits.to_master_file() + self.slits.to_file() # 3) Load user-supplied images # NOTE: These are the *final* images, not just a stack, and it will # over-ride what is generated below (if generated). + + # TODO: Why is this done after writing the image above? If we did, we + # wouldn't need to re-read the user-provided file when ingesting the + # existing flat file. Is this to allow the user to change the pixel + # flat file? Should we allow the user to change the file name? if self.par['flatfield']['pixelflat_file'] is not None: # Load - msgs.info('Using user-defined file: {0}'.format('pixelflat_file')) + msgs.info(f'Using user-defined file: {self.par["flatfield"]["pixelflat_file"]}') with io.fits_open(self.par['flatfield']['pixelflat_file']) as hdu: self.flatimages = flatfield.merge(self.flatimages, flatfield.FlatImages(pixelflat_norm=hdu[self.det].data)) @@ -661,97 +677,107 @@ def get_slits(self): """ Load or generate the definition of the slit boundaries. - Internals that must be available are :attr:`fitstbl`, - :attr:`calib_ID`, :attr:`det`. - Returns: :class:`pypeit.slittrace.SlitTraceSet`: Traces of the slit edges; also kept internally as :attr:`slits`. - """ # Check for existing data if not self._chk_objs(['msbpm']): - return + return None # Check internals self._chk_set(['det', 'calib_ID', 'par']) # Prep - trace_image_files, self.master_key_dict['trace'] = self._prep_calibrations('trace') - # flats lamp off - flatLoff_image_files, _ = self._prep_calibrations('lampoffflats') + raw_trace_files, setup, calib_id = self._prep_calibrations('trace') + raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] - # Reuse master frame? - slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, - self.master_key_dict['trace'], - master_dir=self.master_dir) - if os.path.isfile(slit_masterframe_name) and self.reuse_masters: - self.slits = slittrace.SlitTraceSet.from_file(slit_masterframe_name) - # Reset the bitmask + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) + + # Construct the expected calibration frame file name + slits_file = Path(slittrace.SlitTraceSet.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + + # If it exists and we want to reuse it, do so: + if slits_file.exists() and self.reuse: + self.slits = slittrace.SlitTraceSet.from_file(slits_file) self.slits.mask = self.slits.mask_init.copy() - else: - # Slits don't exist or we're not resusing them - edge_masterframe_name = masterframe.construct_file_name(edgetrace.EdgeTraceSet, - self.master_key_dict['trace'], - master_dir=self.master_dir) - # Reuse master frame? - if os.path.isfile(edge_masterframe_name) and self.reuse_masters: - self.edges = edgetrace.EdgeTraceSet.from_file(edge_masterframe_name) - elif len(trace_image_files) == 0: - msgs.warn("No frametype=trace files to build slits") - return None - else: - # Build the trace image - msgs.info('Creating Master Edges using files: ') - for f in trace_image_files: - msgs.prindent(f'{os.path.basename(f)}') - self.traceImage = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['traceframe'], - trace_image_files, - bias=self.msbias, bpm=self.msbpm, - dark=self.msdark) - if len(flatLoff_image_files) > 0: - msgs.info('Subtracting lamp off flats using files: ') - for f in flatLoff_image_files: - msgs.prindent(f'{os.path.basename(f)}') - # TODO: Can we just use the one created above if it exists? - lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['lampoffflatsframe'], - flatLoff_image_files, - dark=self.msdark, bias=self.msbias, - bpm=self.msbpm) - self.traceImage.sub(lampoff_flat) - - self.edges = edgetrace.EdgeTraceSet(self.traceImage, self.spectrograph, - self.par['slitedges'], #bpm=self.msbpm, - auto=True) - if not self.edges.success: - self.success = False - return None - self.edges.to_master_file(edge_masterframe_name) - - # Show the result if requested - if self.show: - self.edges.show(in_ginga=True) - - # Get the slits from the result of the edge tracing, delete - # the edges object, and save the slits, if requested - self.slits = self.edges.get_slits() - self.edges = None - self.slits.to_master_file(slit_masterframe_name) + if self.user_slits is not None: + self.slits.user_mask(detname, self.user_slits) + return self.slits - # User mask? + if len(raw_trace_files) == 0: + self.slits = None + msgs.warn('No frametype=trace files to build slits') + return self.slits + + # Slits don't exist or we're not resusing them + edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + # Reuse master frame? + if edges_file.exists() and self.reuse: + self.slits = edgetrace.EdgeTraceSet.from_file(edges_file).get_slits() + self.slits.to_file(slits_file) + if self.user_slits is not None: + self.slits.user_mask(detname, self.user_slits) + return self.slits + + # Build the trace image + msgs.info('Creating edge tracing calibration frame using files: ') + for f in raw_trace_files: + msgs.prindent(f'{os.path.basename(f)}') + self.traceImage = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['traceframe'], raw_trace_files, + bias=self.msbias, bpm=self.msbpm, + dark=self.msdark, + calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) + if len(raw_lampoff_files) > 0: + msgs.info('Subtracting lamp off flats using files: ') + for f in raw_lampoff_files: + msgs.prindent(f'{os.path.basename(f)}') + lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['lampoffflatsframe'], + raw_lampoff_files, dark=self.msdark, + bias=self.msbias, bpm=self.msbpm, + calib_dir=self.calib_dir, setup=setup, + calib_id=calib_id) + self.traceImage = self.traceImage.sub(lampoff_flat) + + self.edges = edgetrace.EdgeTraceSet(self.traceImage, self.spectrograph, + self.par['slitedges'], auto=True) + if not self.edges.success: + self.success = False + return None + self.edges.to_file() + + # Show the result if requested + if self.show: + self.edges.show(in_ginga=True) + + # Get the slits from the result of the edge tracing, delete + # the edges object, and save the slits, if requested + self.slits = self.edges.get_slits() + self.edges = None + self.slits.to_file() if self.user_slits is not None: - # Parse the DET/MSC name - if isinstance(self.det, tuple): - detname = self.spectrograph.list_detectors( - mosaic=True)[self.spectrograph.allowed_mosaics.index(self.det)] - elif isinstance(self.det, int): - detname = self.spectrograph.list_detectors()[self.det-1] - else: - msgs.error("Bad type for self.det") + self.slits.user_mask(detname, self.user_slits) - self.slits.user_mask(detname, self.user_slits) + # User mask? +# if self.user_slits is not None: +# # Parse the DET/MSC name +# if isinstance(self.det, tuple): +# detname = self.spectrograph.list_detectors( +# mosaic=True)[self.spectrograph.allowed_mosaics.index(self.det)] +# elif isinstance(self.det, int): +# detname = self.spectrograph.list_detectors()[self.det-1] +# else: +# msgs.error("Bad type for self.det") +# +# self.slits.user_mask(detname, self.user_slits) return self.slits @@ -789,7 +815,7 @@ def get_wv_calib(self): masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, self.master_key_dict['arc'], master_dir=self.master_dir) - if os.path.isfile(masterframe_name) and self.reuse_masters: + if os.path.isfile(masterframe_name) and self.reuse: self.wv_calib = wavecalib.WaveCalib.from_file(masterframe_name) self.wv_calib.chk_synced(self.slits) self.slits.mask_wvcalib(self.wv_calib) @@ -849,7 +875,7 @@ def get_tilts(self): masterframe_name = masterframe.construct_file_name(wavetilts.WaveTilts, self.master_key_dict['tilt'], master_dir=self.master_dir) - if os.path.isfile(masterframe_name) and self.reuse_masters: + if os.path.isfile(masterframe_name) and self.reuse: self.wavetilts = wavetilts.WaveTilts.from_file(masterframe_name) self.wavetilts.is_synced(self.slits) self.slits.mask_wavetilts(self.wavetilts) @@ -928,18 +954,18 @@ def __repr__(self): class MultiSlitCalibrations(Calibrations): """ - Child of Calibrations class for performing multi-slit (and longslit) - calibrations. See :class:`~pypeit.calibrations.Calibrations` for - arguments. + Calibration class for performing multi-slit calibrations (and also long-slit + and echelle). See :class:`~pypeit.calibrations.Calibrations` for arguments. - NOTE: Echelle uses this same class. It had been possible there would be - a different order of the default_steps + .. note:: - .. todo:: - Rename this child or eliminate altogether + Calibrations are not sufficiently different yet to warrant a different + class for echelle reductions. This may change if a different order is + eventually required for the set of processing steps (see + :func:`default_steps`). """ def __init__(self, fitstbl, par, spectrograph, caldir, **kwargs): - super(MultiSlitCalibrations, self).__init__(fitstbl, par, spectrograph, caldir, **kwargs) + super().__init__(fitstbl, par, spectrograph, caldir, **kwargs) self.steps = MultiSlitCalibrations.default_steps() @staticmethod @@ -960,11 +986,10 @@ class IFUCalibrations(Calibrations): """ Child of Calibrations class for performing IFU calibrations. See :class:`pypeit.calibrations.Calibrations` for arguments. - """ def __init__(self, fitstbl, par, spectrograph, caldir, **kwargs): - super(IFUCalibrations, self).__init__(fitstbl, par, spectrograph, caldir, **kwargs) + super().__init__(fitstbl, par, spectrograph, caldir, **kwargs) self.steps = IFUCalibrations.default_steps() @staticmethod @@ -974,7 +999,6 @@ def default_steps(): Returns: list: Calibration steps, in order of execution - """ # Order matters! return ['bias', 'dark', 'bpm', 'arc', 'tiltimg', 'slits', 'wv_calib', 'tilts', 'align', diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index 1c0bcd5f60..a79b5d5500 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -26,11 +26,14 @@ Programmatically, if you have a :ref:`pypeit_file` and a path for the reductions (`redux_path`), an example of how to trace the slits in a single -detector is as follows:: +detector is as follows:A + +.. code-block:: python # Imports from pypeit.pypeit import PypeIt - from pypeit import traceimage, edgetrace + from pypeit import edgetrace + from pypeit.images import buildimage # Instantiate the PypeIt class to perform the necessary setup rdx = PypeIt(pypeit_file, redux_path=redux_path) @@ -45,8 +48,9 @@ # Setup the output paths for the trace file; these can be anything but # the defaults are below - master_dir = rdx.par['calibrations']['caldir'] - master_key = rdx.fitstbl.master_key(tbl_rows[0], det=det) + calib_dir = rdx.par['calibrations']['caldir'] + setup = rdx.fitstbl['setup'][tbl_rows[0]] + calib_id = rdx.fitstbl['calib'][tbl_rows[0]] # Skip the bias subtraction, if reasonable; see # pypeit.biasframe.BiasFrame to construct a bias to subtract from @@ -54,28 +58,30 @@ rdx.par['calibrations']['traceframe']['process']['bias'] = 'skip' # Construct the TraceImage - # TODO -- Update this doc - traceImage = pypeit.images.buildcalibration.TraceImage(rdx.spectrograph, files=files, det=det, - par=rdx.par['calibrations']['traceframe']) - traceImage.build_image() + traceImage = buildimage.buildimage_fromlist(rdx.spectrograph, det, + rdx.par['calibrations']['traceframe'], + files, calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) # Then run the edge tracing. This performs the automatic tracing. - edges = edgetrace.EdgeTraceSet(rdx.spectrograph, rdx.par['calibrations']['slitedges'], - master_key=master_key, master_dir=master_dir, img=traceImage, - det=det, auto=True) + edges = edgetrace.EdgeTraceSet(traceImage, rdx.spectrograph, + rdx.par['calibrations']['slitedges'], auto=True) # You can look at the results using the show method: - edges.show(thin=10, include_img=True, idlabel=True) + edges.show() # Or in ginga viewer - edges.show(thin=10, in_ginga=True) + edges.show(in_ginga=True) # And you can save the results to a file - edges.save() + edges.to_file() If you want to instead start without a pypeit file, you could do the following for, e.g., a single unbinned Keck DEIMOS flat-field exposure in a fits file called `trace_file`:: +.. code-block:: python + import os - from pypeit import traceimage, edgetrace + from pypeit import edgetrace + from pypeit.images import buildimage from pypeit.spectrographs.util import load_spectrograph spec = load_spectrograph('keck_deimos') @@ -83,17 +89,15 @@ par['calibrations']['traceframe']['process']['bias'] = 'skip' # Make any desired changes to the parameters here det = 3 - master_dir = os.path.split(os.path.abspath(trace_file))[0] - master_key = 'test_trace_{0}'.format(det) + calib_dir = par['calibrations']['caldir'] - # TODO - update this - traceImage = traceimage.TraceImage(spec, files=[trace_file], det=det, - par=par['calibrations']['traceframe']) - traceImage.build_image() + # Construct the TraceImage + traceImage = buildimage.buildimage_fromlist(spec, det, par['calibrations']['traceframe'], + [trace_file], calib_dir=self.calib_dir, + setup='A', calib_id=1) - edges = edgetrace.EdgeTraceSet(spec, par['calibrations']['slitedges'], master_key=master_key, - master_dir=master_dir, img=traceImage, det=det, auto=True) - edges.save() + edges = edgetrace.EdgeTraceSet(traceImage, spec, par['calibrations']['slitedges'], auto=True) + edges.to_file() .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst @@ -123,6 +127,7 @@ from pypeit import sampling from pypeit import slittrace from pypeit.datamodel import DataContainer +from pypeit import calibframe from pypeit.images.mosaic import Mosaic from pypeit.bitmask import BitMask from pypeit.display import display @@ -209,7 +214,7 @@ def exclude_flags(self): return self.insert_flags + self.order_flags + ['BOXSLIT'] -class EdgeTraceSet(DataContainer): +class EdgeTraceSet(calibframe.CalibFrame): r""" Core class that identifies, traces, and pairs edges in an image to define the slit apertures. @@ -234,11 +239,9 @@ class EdgeTraceSet(DataContainer): The success of the tracing critically depends on the parameters used. The defaults are tuned for each spectrograph based on - testing using data in the pypeit development suite. See + testing using data in the PypeIt development suite. See :ref:`pypeitpar` for the full documentation of the - :class:`pypeit.par.pypeitpar.EdgeTracePar` parameters. Note that - the :class:`pypeit.par.pypeitpar.TraceSlitsPar` parameter group - has been deprecated. + :class:`pypeit.par.pypeitpar.EdgeTracePar` parameters. Finally, note that the :attr:`design` and :attr:`object` data are currently empty, as part of a development path for matching slits @@ -256,7 +259,7 @@ class EdgeTraceSet(DataContainer): - Provide some guidance for the parameters to use. Args: - traceimg (:class:`pypeit.images.buildcalibration.TraceImage`): + traceimg (:class:`pypeit.images.buildimage.TraceImage`): Two-dimensional image used to trace slit edges. The object provides the image, the bad-pixel mask, the detector information, and (one of) the original raw file name when matching slits to a design file. @@ -266,11 +269,6 @@ class EdgeTraceSet(DataContainer): par (:class:`pypeit.par.pypeitpar.EdgeTracePar`): The parameters used to guide slit tracing. Used to set :attr:`par`. - master_key (:obj:`str`, optional): - The string identifier for the instrument configuration. See - :class:`pypeit.masterframe.MasterFrame`. - master_dir (:obj:`str`, optional): - Path to master frames. qa_path (:obj:`str`, optional): Directory for QA output. If None, no QA plots are provided. @@ -391,21 +389,51 @@ class EdgeTraceSet(DataContainer): Full path to the file used to extract slit-mask information """ - master_type = 'Edges' - """Root name for the master frame file.""" + calib_type = 'Edges' + """Root name for the calibration frame file.""" - master_file_format = 'fits.gz' - """Master frame file format.""" + calib_file_format = 'fits.gz' + """Calibration frame file format.""" bitmask = EdgeTraceBitMask() - """BitMask instance.""" + """Bit interpreter for the edge tracing mask.""" version = '1.0.1' """DataContainer datamodel version.""" + # TODO: Add this to the DataContainer base class? output_float_dtype = np.float32 """Regardless of datamodel, output floating-point data have this fixed bit size.""" + internals = calibframe.CalibFrame.internals \ + + ['spectrograph', # Spectrograph instance + 'par', # EdgeTracePar instance + 'qa_path', # Path for the QA plots + 'edge_img', # Array with the spatial pixel nearest to each trace edge. + 'sobelsig_left', # Sobel filtered image used to trace left edges + 'sobelsig_right', # Sobel filtered image used to trace right edges + 'design', # Table that collates slit-mask design data matched to + # the edge traces + 'objects', # Table that collates object information, if available + # in the slit-mask design, matched to the `design` table. + 'log', # Log of methods applied + 'omodel_bspat', # Left edges predicted by the optical model + # (before x-correlation) + 'omodel_tspat', # Right edges predicted by the optical model + # (before x-correlation) + 'cc_params_b', # Parameters of the x-correlation between LEFT edges + # predicted by the slitmask design and the one traced + # on the image. + 'cc_params_t', # Parameters of the x-correlation between RIGHT edges + # predicted by the slitmask design and the one traced + # on the image. + 'maskfile', # File used to slurp in slit-mask design + 'slitmask', # SlitMask instance that hold info on slitmask design + 'success'] # Flag that the automatic edge tracing was successful + """ + Attributes kept separate from the datamodel. + """ + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'dispname': dict(otype=str, descr='Spectrograph disperser name. Primarily needed for ' @@ -479,8 +507,6 @@ def __init__(self, traceimg, spectrograph, par, qa_path=None, auto=False, debug= if not isinstance(par, EdgeTracePar): msgs.error('Input par must be an EdgeTracePar object.') - # TODO: - # - Change self.PYP_SPEC to self.specname self.traceimg = traceimg # Input TraceImage self.nspec, self.nspat = self.traceimg.shape # The shape of the trace image self.spectrograph = spectrograph # Spectrograph used to take the data @@ -491,9 +517,15 @@ def __init__(self, traceimg, spectrograph, par, qa_path=None, auto=False, debug= self.maskdef_id = None # Slit ID number from slit-mask design # matched to traced slits + # Inherit the calibration frame attributes from the trace image: + self.calib_id = self.traceimg.calib_id + self.calib_key = self.traceimg.calib_key + self.calib_dir = self.traceimg.calib_dir + # NOTE: This means that, no matter what, every instance of # EdgeTraceSet should have a sobelsig attribute that is *not* # None. + self.success = False if auto: # Run the automatic tracing self.auto_trace(debug=debug, show_stages=show_stages) @@ -501,31 +533,6 @@ def __init__(self, traceimg, spectrograph, par, qa_path=None, auto=False, debug= # Only get the initial trace self.initial_trace() - def _init_internals(self): - """Add any attributes that are *not* part of the datamodel.""" - self.spectrograph = None # Spectrograph instance - self.par = None # EdgeTracePar instance - self.qa_path = None # Path for the QA plots - self.edge_img = None # Array with the spatial pixel nearest to each trace edge. - self.sobelsig_left = None # Sobel filtered image used to trace left edges - self.sobelsig_right = None # Sobel filtered image used to trace right edges - self.design = None # Table that collates slit-mask design data matched to - # the edge traces - self.objects = None # Table that collates object information, if available - # in the slit-mask design, matched to the `design` table. - self.log = None # Log of methods applied - self.master_key = None # Calibration key for master frame - self.master_dir = None # Directory for Master frames - self.omodel_bspat = None # Left edges predicted by the optical model (before x-correlation) - self.omodel_tspat = None # Right edges predicted by the optical model (before x-correlation) - self.cc_params_b = None # Parameters of the x-correlation between LEFT edges predicted - # by the slitmask design and the one traced on the image. - self.cc_params_t = None # Parameters of the x-correlation between RIGHT edges predicted - # by the slitmask design and the one traced on the image. - self.maskfile = None # File used to slurp in slit-mask design - self.slitmask = None # SlitMask instance that hold info on slitmask design - self.success = False # Flag that the automatic edge tracing was successful - def _reinit_trace_data(self): """ Convenience method to set all attributes related to trace data to `None`. diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 8cd7a6bdc8..48c7308afe 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -20,7 +20,7 @@ from pypeit import bspline from pypeit import datamodel -#from pypeit import masterframe +from pypeit import calibframe from pypeit.display import display from pypeit.core import qa from pypeit.core import flat @@ -31,9 +31,9 @@ from pypeit import slittrace -class FlatImages(datamodel.DataContainer): +class FlatImages(calibframe.CalibFrame): """ - Simple DataContainer for the output from Flatfield. + Container for the processed flat-field calibrations. All of the items in the datamodel are required for instantiation, although they can be None (but shouldn't be). @@ -43,18 +43,16 @@ class FlatImages(datamodel.DataContainer): .. include:: ../include/class_datamodel_flatimages.rst """ - minimum_version = '1.1.1' version = '1.1.2' - # I/O - output_to_disk = None # This writes all items that are not None - hdu_prefix = None + # Calibration frame attributes + calib_type = 'Flat' + calib_file_format = 'fits' - # Master fun - master_type = 'Flat' - master_file_format = 'fits' - - datamodel = {'pixelflat_raw': dict(otype=np.ndarray, atype=np.floating, + # Datamodel already includes PYP_SPEC, so no need to combine it with the + # CalibFrame base datamodel. + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), + 'pixelflat_raw': dict(otype=np.ndarray, atype=np.floating, descr='Processed, combined pixel flats'), 'pixelflat_norm': dict(otype=np.ndarray, atype=np.floating, descr='Normalized pixel flat'), @@ -63,7 +61,8 @@ class FlatImages(datamodel.DataContainer): descr='B-spline models for pixel flat; see ' ':class:`~pypeit.bspline.bspline.bspline`'), 'pixelflat_finecorr': dict(otype=np.ndarray, atype=fitting.PypeItFit, - descr='PypeIt 2D polynomial fits to the fine correction of the spatial illumination profile'), + descr='PypeIt 2D polynomial fits to the fine correction of ' + 'the spatial illumination profile'), 'pixelflat_bpm': dict(otype=np.ndarray, atype=np.integer, descr='Mirrors SlitTraceSet mask for flat-specific flags'), 'pixelflat_spec_illum': dict(otype=np.ndarray, atype=np.floating, @@ -76,30 +75,27 @@ class FlatImages(datamodel.DataContainer): descr='B-spline models for illum flat; see ' ':class:`~pypeit.bspline.bspline.bspline`'), 'illumflat_finecorr': dict(otype=np.ndarray, atype=fitting.PypeItFit, - descr='PypeIt 2D polynomial fits to the fine correction of the spatial illumination profile'), + descr='PypeIt 2D polynomial fits to the fine correction of ' + 'the spatial illumination profile'), 'illumflat_bpm': dict(otype=np.ndarray, atype=np.integer, descr='Mirrors SlitTraceSet mask for flat-specific flags'), - 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'spat_id': dict(otype=np.ndarray, atype=np.integer, descr='Slit spat_id')} def __init__(self, pixelflat_raw=None, pixelflat_norm=None, pixelflat_bpm=None, - pixelflat_model=None, pixelflat_spat_bsplines=None, pixelflat_finecorr=None, pixelflat_spec_illum=None, - pixelflat_waveimg=None, illumflat_raw=None, illumflat_spat_bsplines=None, - illumflat_bpm=None, illumflat_finecorr=None, PYP_SPEC=None, spat_id=None): + pixelflat_model=None, pixelflat_spat_bsplines=None, pixelflat_finecorr=None, + pixelflat_spec_illum=None, pixelflat_waveimg=None, illumflat_raw=None, + illumflat_spat_bsplines=None, illumflat_bpm=None, illumflat_finecorr=None, + PYP_SPEC=None, spat_id=None): # Parse args, _, _, values = inspect.getargvalues(inspect.currentframe()) d = dict([(k,values[k]) for k in args[1:]]) # Setup the DataContainer datamodel.DataContainer.__init__(self, d=d) - def _init_internals(self): - self.filename = None - # Master stuff - self.master_key = None - self.master_dir = None - def _validate(self): - # + """ + Validate the instantiation of the flat-field calibrations. + """ if self.pixelflat_spat_bsplines is not None and len(self.pixelflat_spat_bsplines) > 0: if len(self.spat_id) != len(self.pixelflat_spat_bsplines): msgs.error("Pixelflat Bsplines are out of sync with the slit IDs") @@ -118,7 +114,8 @@ def is_synced(self, slits): """ if not np.array_equal(self.spat_id, slits.spat_id): - msgs.error("Your flat solutions are out of sync with your slits. Remove Masters and start from scratch") + msgs.error('Your flat solutions are out of sync with your slits. Remove Calibrations' + 'and restart from scratch.') def _bundle(self): """ @@ -131,58 +128,57 @@ def _bundle(self): written to its own fits extension. See the description above. """ + + # NOTE: Everything in the datamodel is currently (21 Mar 2023) a numpy + # array, *except* PYP_SPEC. We need to avoid adding an element to `d` + # below that *only* contains the PYP_SPEC because it leads to an unnamed + # empty extension where the only added value is that PYP_SPEC is in the + # header. I deal with this by skipping PYP_SPEC in the list of keys and + # adding it to the dictionaries of the simple objects; i.e., it's not + # added to entries in `d`` that are themselves DataContainer objects + # (because that causes havoc). + d = [] for key in self.keys(): # Skip None - if self[key] is None: + if self[key] is None or key == 'PYP_SPEC': continue if self.datamodel[key]['otype'] == np.ndarray and 'bsplines' not in key \ and 'finecorr' not in key: - d += [{key: self[key]}] + d += [{key: {'PYP_SPEC':self.PYP_SPEC, key : self[key]}}] elif 'bsplines' in key: flattype = 'pixelflat' if 'pixelflat' in key else 'illumflat' - d += [{'{0}_spat_id-{1}_bspline'.format(flattype, self.spat_id[ss]): self[key][ss]} + d += [{f'{flattype}_spat_id-{self.spat_id[ss]}_bspline': self[key][ss]} for ss in range(len(self[key]))] elif 'finecorr' in key: flattype = 'pixelflat' if 'pixelflat' in key else 'illumflat' - d += [{'{0}_spat_id-{1}_finecorr'.format(flattype, self.spat_id[ss]): self[key][ss]} + d += [{f'{flattype}_spat_id-{self.spat_id[ss]}_finecorr': self[key][ss]} for ss in range(len(self[key]))] else: if len(d) > 0: d[0][key] = self[key] else: d += [{key: self[key]}] - - # TODO: Somehow this approach can lead to a bug where the PIXELFLAT_RAW - # extension is missing its extension name. I think this is because - # PYP_SPEC is added to it, but I gave up on debugging this for now. - - # Return return d - def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None): #, limit_hdus=None): - """ Over-ride for force_to_bintbl - - See :class:`pypeit.datamodel.DataContainer.to_hdu` for Arguments - - Returns: - :obj:`list`, `astropy.io.fits.HDUList`_: A list of HDUs, - where the type depends on the value of ``add_primary``. - """ - return super(FlatImages, self).to_hdu(hdr=hdr, add_primary=add_primary, primary_hdr=primary_hdr, - #limit_hdus=limit_hdus, - force_to_bintbl=True) + # NOTE: Previously we had code to override the default to_hdu function, + # forcing the HDUs to be binary tables. I don't know why we had done that, + # but it's not necessary and it was causing havoc with me trying to avoid + # the empty PYP_SPEC extension. - # TODO: Although I don't like doing it, kwargs is here to catch the - # extraneous keywords that can be passed to _parse from the base class but - # won't be used. @classmethod def _parse(cls, hdu, ext=None, transpose_table_arrays=False, hdu_prefix=None, **kwargs): + """ + Override base-class function to deal with the many idiosyncracies of the + datamodel. + See :func:`~pypeit.datamodel.DataContainer._parse` for the argument + descriptions, and returned items. + """ # Grab everything but the bsplines. The bsplines are not parsed # because the tailored extension names do not match any of the # datamodel keys. - d, version_passed, type_passed, parsed_hdus = super(FlatImages, cls)._parse(hdu) + d, version_passed, type_passed, parsed_hdus = super()._parse(hdu) # Find bsplines, if they exist nspat = len(d['spat_id']) @@ -236,57 +232,80 @@ def _parse(cls, hdu, ext=None, transpose_table_arrays=False, hdu_prefix=None, ** parsed_hdus += ext_fcor return d, version_passed, type_passed, parsed_hdus + @property def shape(self): + """ + Shape of the image arrays. + """ if self.pixelflat_raw is not None: return self.pixelflat_raw.shape - elif self.illumflat_raw is not None: + if self.illumflat_raw is not None: return self.illumflat_raw.shape - else: - msgs.error("Shape of FlatImages could not be determined") + msgs.error("Shape of FlatImages could not be determined") def get_procflat(self, frametype='pixel'): - if frametype == 'illum': - return self.illumflat_raw - else: - return self.pixelflat_raw + """ + Get the processed flat data. + + Args: + frametype (:obj:`str`, optional): + The type of flat to return. Must be either 'illum' for the + illumination flat or 'pixel' for the pixel flat. + + Returns: + `numpy.ndarray`_: The selected flat. Can be None if the flat has + not been instantiated/processed. + """ + return self.illumflat_raw if frametype == 'illum' else self.pixelflat_raw def get_bpmflats(self, frametype='pixel'): + """ + Get the processed bad-pixel mask. + + Args: + frametype (:obj:`str`, optional): + The type of mask to return. Must be either 'illum' for the + illumination flat mask or 'pixel' for the pixel flat mask. + + Returns: + `numpy.ndarray`_: The selected mask. If neither the illumination + flat or pixel flat mask exist, the returned array is fully unmasked + (all values are False). + """ # Check if both BPMs are none if self.pixelflat_bpm is None and self.illumflat_bpm is None: msgs.warn("FlatImages contains no BPM - trying to generate one") - return np.zeros(self.shape(), dtype=int) + return np.zeros(self.shape, dtype=int) # Now return the requested case, checking for None if frametype == 'illum': if self.illumflat_bpm is not None: return self.illumflat_bpm - else: - msgs.warn("illumflat has no BPM - using the pixelflat BPM") - return self.pixelflat_bpm - else: - if self.pixelflat_bpm is not None: - return self.pixelflat_bpm - else: - msgs.warn("pixelflat has no BPM - using the illumflat BPM") - return self.illumflat_bpm + msgs.warn("illumflat has no BPM - using the pixelflat BPM") + return self.pixelflat_bpm + if self.pixelflat_bpm is not None: + return self.pixelflat_bpm + msgs.warn("pixelflat has no BPM - using the illumflat BPM") + return self.illumflat_bpm def get_spat_bsplines(self, frametype='illum', finecorr=False): """ Grab a list of bspline fits Args: - frametype (str): - frametype to use (can be 'illum' or 'pixel') - finecorr (bool): - Return the fine correction bsplines (finecorr=True), or the zeroth order correction (finecorr=False) + frametype (:obj:`str`, optional): + The type of mask to return. Must be either 'illum' for the + illumination flat mask or 'pixel' for the pixel flat mask. + finecorr (:obj:`bool`, optional): + If True, return the fine correction bsplines; otherwise, return + the zeroth order correction. Returns: - list, None: - Either a list of spatial bsplines if exists, of None if they don't exist. - + :obj:`list`: The selected list of spatial bsplines. Can be None if + the requested data (or the fall-back) do not exist. """ # Decide if the finecorrection splines are needed, or the zeroth order correction if finecorr: - fctxt = "fine correction to the " + fctxt = 'fine correction to the ' pixel_bsplines = self.pixelflat_finecorr illum_bsplines = self.illumflat_finecorr # Do a quick check if no data exist @@ -295,38 +314,38 @@ def get_spat_bsplines(self, frametype='illum', finecorr=False): if illum_bsplines is not None and illum_bsplines[0].xval is None: illum_bsplines = None else: - fctxt = "" + fctxt = '' pixel_bsplines = self.pixelflat_spat_bsplines illum_bsplines = self.illumflat_spat_bsplines # Ensure that at least one has been generated if pixel_bsplines is None and illum_bsplines is None: - msgs.warn(f"FlatImages contains no {fctxt}spatial bspline fit") + msgs.warn(f'FlatImages contains no {fctxt}spatial bspline fit.') return None # Now return the requested case, checking for None if frametype == 'illum': if illum_bsplines is not None: return illum_bsplines - else: - msgs.warn(f"illumflat has no {fctxt}spatial bspline fit - using the pixelflat") - return pixel_bsplines - else: - if pixel_bsplines is not None: - return pixel_bsplines - else: - msgs.warn(f"pixelflat has no {fctxt}spatial bspline fit - using the illumflat") - return illum_bsplines - - def fit2illumflat(self, slits, frametype='illum', finecorr=False, initial=False, spat_flexure=None): + msgs.warn(f'illumflat has no {fctxt}spatial bspline fit - using the pixelflat.') + return pixel_bsplines + if pixel_bsplines is not None: + return pixel_bsplines + msgs.warn(f'pixelflat has no {fctxt}spatial bspline fit - using the illumflat.') + return illum_bsplines + + def fit2illumflat(self, slits, frametype='illum', finecorr=False, initial=False, + spat_flexure=None): """ + Construct the model flat using the spatial bsplines. Args: slits (:class:`pypeit.slittrace.SlitTraceSet`): Definition of the slit edges frametype (str, optional): - The frame type should be 'illum' to return the illumflat version, - or 'pixel' to return the pixelflat version. - finecorr (bool): - Return the fine correction bsplines (finecorr=True), or the zeroth order correction (finecorr=False) + The frame type should be 'illum' to return the illumflat + version, or 'pixel' to return the pixelflat version. + finecorr (bool, optional): + Return the fine correction bsplines (finecorr=True), or the + zeroth order correction (finecorr=False) initial (bool, optional): If True, the initial slit edges will be used spat_flexure (float, optional): @@ -336,18 +355,17 @@ def fit2illumflat(self, slits, frametype='illum', finecorr=False, initial=False, `numpy.ndarray`_: An image of the spatial illumination profile for all slits. """ # Check spatial flexure type - if (spat_flexure is not None) and (not isinstance(spat_flexure, float)): - msgs.error("Spatial flexure must be None or float") + if spat_flexure is not None and not isinstance(spat_flexure, float): + msgs.error('Spatial flexure must be None or float.') # Initialise the returned array - illumflat = np.ones(self.shape()) + illumflat = np.ones(self.shape, dtype=float) # Load spatial bsplines spat_bsplines = self.get_spat_bsplines(frametype=frametype, finecorr=finecorr) # Check that the bsplines exist if spat_bsplines is None: if finecorr: - return np.ones(self.shape()) - else: - msgs.error("Cannot continue without spatial bsplines") + return np.ones(self.shape, dtype=float) + msgs.error('Cannot continue without spatial bsplines.') # Loop for slit_idx in range(slits.nslits): @@ -372,29 +390,34 @@ def fit2illumflat(self, slits, frametype='illum', finecorr=False, initial=False, def show(self, frametype='all', slits=None, wcs_match=True): """ - Simple wrapper to show_flats() + Simple wrapper to :func:`show_flats`. Args: - frametype (str): - Which flats should be displayed? Must be one of 'illum', 'pixel', or 'all' (default) - slits: - wcs_match: - - Returns: - + frametype (str, optional): + String used to select the flats to be displayed. The frame type + should be 'illum' to show the illumflat version, 'pixel' to show + the pixelflat version, or 'all' to show both. + slits (:class:`pypeit.slittrace.SlitTraceSet`): + Definition of the slit edges + wcs_match (:obj:`bool`, optional): + (Attempt to) Match the WCS coordinates of the output images in + the `ginga`_ viewer. """ illumflat_pixel, illumflat_illum = None, None pixelflat_finecorr, illumflat_finecorr = None, None - # Try to grab the slits - if slits is None: - # Warning: This parses the filename, not the Header! - master_key, master_dir = masterframe.grab_key_mdir(self.filename, from_filename=True) + + if slits is None and self.calib_dir is not None or self.calib_key is not None: + # If the slits are not defined, and the relevant attributes are set, + # try to read the associated SlitTraceSet + slits_file = slittrace.SlitTraceSet.construct_file_name(self.calib_key, + calib_dir=self.calib_dir) try: - slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, master_key, - master_dir=master_dir) - slits = slittrace.SlitTraceSet.from_file(slit_masterframe_name) - except: - msgs.warn('Could not load slits to show with flat-field images. Did you provide the master info??') + slits = slittrace.SlitTraceSet.from_file(slits_file) + except (FileNotFoundError, PypeItError): + msgs.warn('Could not load slits to include when showing flat-field images. File ' + 'was either not provided directly, or it could not be read based on its ' + f'expected name: {slits_file}.') + if slits is not None: slits.mask_flats(self) illumflat_pixel = self.fit2illumflat(slits, frametype='pixel', finecorr=False) @@ -431,7 +454,6 @@ def show(self, frametype='all', slits=None, wcs_match=True): show_flats(image_list, wcs_match=wcs_match, slits=slits, waveimg=self.pixelflat_waveimg) - class FlatField: """ Builds pixel-level flat-field and the illumination flat-field. @@ -452,13 +474,17 @@ class FlatField: The current slit traces. wavetilts (:class:`pypeit.wavetilts.WaveTilts`): The current wavelength tilt traces; see - spat_illum_only (boolean): + wv_calib (??): + ?? + spat_illum_only (bool, optional): Only perform the spatial illumination calculation, and ignore the 2D bspline fit. This should only be set to true if you want the spatial illumination profile only. If you want to simultaneously generate a pixel flat and a spatial illumination profile from the same input, this should be False (which is the default). + qa_path (??, optional): + ?? Attributes: rawflatimg (:class:`pypeit.images.pypeitimage.PypeItImage`): @@ -473,17 +499,14 @@ class FlatField: Image of the relative spectral illumination for a multislit spectrograph """ - - # Frame type is a class attribute - frametype = 'pixelflat' - master_type = 'Flat' - def __init__(self, rawflatimg, spectrograph, flatpar, slits, wavetilts, wv_calib, - spat_illum_only=False, qa_path=None, master_key=None): + spat_illum_only=False, qa_path=None, calib_key=None): # Defaults self.spectrograph = spectrograph - self.master_key = master_key # Used for QA + # TODO: We're passing this key only so we can create the output QA + # filename. Can we find a different way? + self.calib_key = calib_key self.qa_path = qa_path # FieldFlattening parameters self.flatpar = flatpar @@ -510,14 +533,6 @@ def __init__(self, rawflatimg, spectrograph, flatpar, slits, wavetilts, wv_calib # Completed steps self.steps = [] - # Child-specific Internals -# self.extrap_slit = None -# self.msblaze = None -# self.blazeext = None -# self.slit_profiles = None -# self.ntckx = None -# self.ntcky = None - @property def nslits(self): """ @@ -532,16 +547,16 @@ def run(self, doqa=False, debug=False, show=False): Generate normalized pixel and illumination flats. This is a simple wrapper for the main flat-field methods: - - - Flat-field images are processed using - :func:`build_pixflat`. - - Full 2D model, illumination flat, and pixel flat images - are constructed by :func:`fit`. - - The results can be shown in a ginga window using - :func:`show`. + + - Flat-field images are processed using :func:`build_pixflat`. + + - Full 2D model, illumination flat, and pixel flat images are + constructed by :func:`fit`. - The method is a simple wrapper for :func:`build_pixflat`, - :func:`fit`, and :func:`show`. + - The results can be shown in a ginga window using :func:`show`. + + The method is a simple wrapper for :func:`build_pixflat`, :func:`fit`, + and :func:`show`. Args: doqa (:obj:`bool`, optional): @@ -552,12 +567,14 @@ def run(self, doqa=False, debug=False, show=False): Show the results in the ginga viewer. Returns: - :class:`FlatImages`: + :class:`FlatImages`: Container with the results of the flat-field + analysis. """ # Fit it # NOTE: Tilts do not change and self.slits is updated internally. if not self.flatpar['fit_2d_det_response']: - # This spectrograph does not have a structure correction implemented. Ignore detector structure. + # This spectrograph does not have a structure correction + # implemented. Ignore detector structure. self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) else: # Iterate on the pixelflat if required by the spectrograph # User has requested a structure correction. @@ -570,7 +587,7 @@ def run(self, doqa=False, debug=False, show=False): for ff in range(niter): # Just get the spatial and spectral profiles for now self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) - msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) + msgs.info(f'Iteration {ff+1} of 2D detector response extraction') # Extract a detector response image det_resp = self.extract_structure(rawflat_orig) gpmask = (self.waveimg != 0.0) & gpm @@ -599,16 +616,16 @@ def run(self, doqa=False, debug=False, show=False): illumflat_finecorr=np.asarray(self.list_of_finecorr_fits), illumflat_bpm=bpmflats, PYP_SPEC=self.spectrograph.name, spat_id=self.slits.spat_id) - else: - # Pixel and illumination correction only - return FlatImages(pixelflat_raw=self.rawflatimg.image, - pixelflat_norm=self.mspixelflat, - pixelflat_model=self.flat_model, - pixelflat_spat_bsplines=np.asarray(self.list_of_spat_bsplines), - pixelflat_finecorr=np.asarray(self.list_of_finecorr_fits), - pixelflat_bpm=bpmflats, pixelflat_spec_illum=self.spec_illum, - pixelflat_waveimg=self.waveimg, - PYP_SPEC=self.spectrograph.name, spat_id=self.slits.spat_id) + + # Pixel and illumination correction only + return FlatImages(pixelflat_raw=self.rawflatimg.image, + pixelflat_norm=self.mspixelflat, + pixelflat_model=self.flat_model, + pixelflat_spat_bsplines=np.asarray(self.list_of_spat_bsplines), + pixelflat_finecorr=np.asarray(self.list_of_finecorr_fits), + pixelflat_bpm=bpmflats, pixelflat_spec_illum=self.spec_illum, + pixelflat_waveimg=self.waveimg, + PYP_SPEC=self.spectrograph.name, spat_id=self.slits.spat_id) def build_mask(self): """ @@ -632,7 +649,7 @@ def build_waveimg(self): flex = self.wavetilts.spat_flexure slitmask = self.slits.slit_img(initial=True, flexure=flex) tilts = self.wavetilts.fit2tiltimg(slitmask, flexure=flex) - # Save to class attribute for inclusion in MasterFlat + # Save to class attribute for inclusion in the Flat calibration frame self.waveimg = self.wv_calib.build_waveimg(tilts, self.slits, spat_flexure=flex) def show(self, wcs_match=True): @@ -1404,7 +1421,7 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Prepare QA if doqa: - outfile = qa.set_qa_filename("Spatillum_FineCorr_"+self.master_key, 'spatillum_finecorr', slit=slit_spat, + outfile = qa.set_qa_filename("Spatillum_FineCorr_"+self.calib_key, 'spatillum_finecorr', slit=slit_spat, out_dir=self.qa_path) title = "Fine correction to spatial illumination (slit={0:d})".format(slit_spat) normed[np.logical_not(onslit_tweak)] = 1 # For the QA, make everything off the slit equal to 1 diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 698fbc659d..826fd89eac 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -93,14 +93,14 @@ class TraceImage(pypeitimage.PypeItCalibrationImage): output_to_disk = ('TRACE_IMAGE', 'TRACE_FULLMASK', 'TRACE_DETECTOR') hdu_prefix = 'TRACE_' - # TODO: This is a hack to limit the arrays written to the MasterEdges object - # to just the selection above. The reason this doesn't work like the other - # master images above is because the `to_master_file` function is not used - # to build the output MasterEdges file. We might want to come up with a - # better long-term fix for this. - def _bundle(self): - return [_d for _d in super()._bundle() - if any(np.isin(list(_d.keys()), ['image', 'fullmask', 'detector']))] +# # TODO: This is a hack to limit the arrays written to the MasterEdges object +# # to just the selection above. The reason this doesn't work like the other +# # master images above is because the `to_master_file` function is not used +# # to build the output MasterEdges file. We might want to come up with a +# # better long-term fix for this. +# def _bundle(self): +# return [_d for _d in super()._bundle() +# if any(np.isin(list(_d.keys()), ['image', 'fullmask', 'detector']))] class SkyRegions(pypeitimage.PypeItCalibrationImage): diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 7b78cb8060..13bfa591f6 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -23,6 +23,7 @@ from pypeit import msgs from pypeit import datamodel +from pypeit import calibframe from pypeit import specobj from pypeit.bitmask import BitMask from pypeit.core import parse @@ -49,7 +50,7 @@ def __init__(self): ('BADSKYSUB', 'Skysub failed for this slit'), ('BADEXTRACT', 'Extraction failed for this slit'), ]) - super(SlitTraceBitMask, self).__init__(list(mask.keys()), descr=list(mask.values())) + super().__init__(list(mask.keys()), descr=list(mask.values())) @property def exclude_for_reducing(self): @@ -65,54 +66,37 @@ def exclude_for_flexure(self): -class SlitTraceSet(datamodel.DataContainer): +class SlitTraceSet(calibframe.CalibFrame): """ Defines a generic class for holding and manipulating image traces organized into left-right slit pairs. - Instantiation arguments map directly to the object - :attr:`datamodel`. The only additional argument is ``load``, - described below. - - :class:`SlitTraceSet` objects can be instantiated with only the - master-frame arguments. If this is done, it's expected that - you'll attempt to load an existing master frame, either using - ``load=True`` on instantiation or by a call to :func:`load`. - Otherwise, all the elements of the data model will be empty. - The datamodel attributes are: .. include:: ../include/class_datamodel_slittraceset.rst - Args: - load (:obj:`bool`, optional): - Attempt to load an existing master frame with the slit - trace data. WARNING: If ``load`` is True, all of the slit - information provided to the initialization is ignored! - Only the arguments relevant to the - :class:`pypeit.masterframe.MasterFrame` components of - :class:`SlitTraceSet` are used. - Attributes: left_flexure (`numpy.ndarray`_): Convenient spot to hold flexure corrected left right_flexure (`numpy.ndarray`_): Convenient spot to hold flexure corrected right - master_key (:obj:`str`): - master_dir (:obj:`str`): - """ - frametype = 'slits' - master_type = 'Slits' - """Name for type of master frame.""" - master_file_format = 'fits.gz' - """File format for the master frame file.""" - minimum_version = '1.1.0' + calib_type = 'Slits' + """Name for type of calibration frame.""" + + calib_file_format = 'fits.gz' + """File format for the calibration frame file.""" + version = '1.1.4' """SlitTraceSet data model version.""" - hdu_prefix = None - output_to_disk = None - bitmask = SlitTraceBitMask() + """ + Bit interpreter for slit masks. + """ + + internals = calibframe.CalibFrame.internals + ['left_flexure', 'right_flexure'] + """ + Attributes kept separate from the datamodel. + """ # Define the data model datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), @@ -192,9 +176,9 @@ def __init__(self, left_init, right_init, pypeline, detname=None, nspec=None, ns args, _, _, values = inspect.getargvalues(inspect.currentframe()) _d = dict([(k,values[k]) for k in args[1:]]) # The dictionary passed to DataContainer.__init__ does not - # contain self or the MasterFrame arguments. + # contain self. # TODO: Does it matter if the calling function passes the - # keyword arguments in a different order? + # keyword arguments in a different order? No. datamodel.DataContainer.__init__(self, d=_d) def _validate(self): @@ -273,13 +257,6 @@ def _validate(self): if self.mask is None: self.mask = self.mask_init.copy() - def _init_internals(self): - self.left_flexure = None - self.right_flexure = None - # Master stuff - self.master_key = None - self.master_dir = None - def _bundle(self): """ Bundle the data in preparation for writing to a fits file. @@ -287,7 +264,7 @@ def _bundle(self): See :func:`pypeit.datamodel.DataContainer._bundle`. Data is always written to a 'SLITS' extension. """ - bndl = super(SlitTraceSet, self)._bundle(ext='SLITS', transpose_arrays=True) + bndl = super()._bundle(ext='SLITS', transpose_arrays=True) if self.maskdef_designtab is not None: # save the table tab_detached = bndl[0]['SLITS']['maskdef_designtab'] @@ -296,8 +273,7 @@ def _bundle(self): # create a dict for the `tab_detached` tab_dict = {'maskdef_designtab': tab_detached} return [bndl[0], tab_dict] - else: - return bndl + return bndl # TODO: Although I don't like doing it, kwargs is here to catch the # extraneous keywords that can be passed to _parse from the base class but @@ -311,7 +287,7 @@ def _parse(cls, hdu, hdu_prefix=None, **kwargs): always read from the 'SLITS' extension. """ if not hasattr(hdu, '__len__'): - return super(SlitTraceSet, cls)._parse(hdu, transpose_table_arrays=True) + return super()._parse(hdu, transpose_table_arrays=True) # TODO: My edit to the code causes the code below to fault in some cases # because of a consistency limitation that I put on the values that ext @@ -319,11 +295,10 @@ def _parse(cls, hdu, hdu_prefix=None, **kwargs): # code in the except block will always fault now, and I don't remember # why we needed this try/except block in the first place. try: - return super(SlitTraceSet, cls)._parse(hdu, ext=['SLITS', 'MASKDEF_DESIGNTAB'], - transpose_table_arrays=True) + return super()._parse(hdu, ext=['SLITS', 'MASKDEF_DESIGNTAB'], + transpose_table_arrays=True) except KeyError: - return super(SlitTraceSet, cls)._parse(hdu, ext='SLITS', - transpose_table_arrays=True) + return super()._parse(hdu, ext='SLITS', transpose_table_arrays=True) def init_tweaked(self): """ @@ -365,10 +340,9 @@ def slitord_id(self): """ if self.pypeline in ['MultiSlit', 'IFU']: return self.spat_id - elif self.pypeline == 'Echelle': + if self.pypeline == 'Echelle': return self.ech_order - else: - msgs.error('Unrecognized Pypeline {:}'.format(self.pypeline)) + msgs.error(f'Unrecognized Pypeline {self.pypeline}') def spatid_to_zero(self, spat_id): """ diff --git a/pypeit/tests/test_alignments.py b/pypeit/tests/test_alignments.py index 7acc1ecb1b..1fa34d23ce 100644 --- a/pypeit/tests/test_alignments.py +++ b/pypeit/tests/test_alignments.py @@ -1,16 +1,16 @@ """ Module to run tests on Alignment frames """ -import os -import pytest -import numpy as np +from pathlib import Path -from pypeit import alignframe +from IPython import embed + +import numpy as np +from astropy.io import fits -def data_path(filename): - data_dir = os.path.join(os.path.dirname(__file__), 'files') - return os.path.join(data_dir, filename) +from pypeit import alignframe +from pypeit.tests.tstutils import data_path def test_alignments(): @@ -26,16 +26,23 @@ def test_alignments(): spat_id=np.arange(nslits)) alignments = alignframe.Alignments(**instant_dict) + alignments.set_paths(data_path(''), 'A', '1', 'DET01') + ofile = Path(alignments.get_path()).resolve() # I/O - outfile = data_path('tst_alignments.fits') - alignments.to_file(outfile, overwrite=True) - _alignments = alignframe.Alignments.from_file(outfile) + alignments.to_file(overwrite=True) + assert ofile.exists(), 'File not written' + with fits.open(ofile) as hdu: + assert hdu[1].name == 'ALIGN', 'Extension name changed' + _alignments = alignframe.Alignments.from_file(str(ofile)) + # Test for key in instant_dict.keys(): if isinstance(instant_dict[key], np.ndarray): assert np.array_equal(alignments[key], _alignments[key]) else: assert alignments[key] == _alignments[key] - # Now delete - os.remove(outfile) + + # Clean-up + ofile.unlink() + diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index ed6fe96b50..c87ac6d917 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -49,14 +49,14 @@ def test_init(): calib = MinimalCalibFrame() odir = Path(data_path('')).resolve() calib.set_paths(odir, 'A', '1', 'DET01') - ofile = calib.construct_file_name(full=False) + ofile = Path(calib.get_path()).name assert ofile == 'Minimal_A_1_DET01.fits', 'Wrong file name' - opath = Path(calib.construct_file_name()).resolve() # Now with the full path + opath = Path(calib.get_path()).resolve() # Now with the full path assert opath.parent == odir, 'Wrong parent directory' assert opath.name == ofile, 'Wrong file name' calib.set_paths(odir, 'A', ['1','2'], 'DET01') - ofile = calib.construct_file_name(full=False) + ofile = Path(calib.get_path()).name assert ofile == 'Minimal_A_1-2_DET01.fits', 'Wrong file name' @@ -65,7 +65,7 @@ def test_io(): odir = Path(data_path('')).resolve() calib.set_paths(odir, 'A', '1', 'DET01') calib.PYP_SPEC = 'this is a test' - opath = Path(calib.construct_file_name()).resolve() + opath = Path(calib.get_path()).resolve() calib.to_file(overwrite=True) with io.fits_open(str(opath)) as hdu: @@ -83,7 +83,7 @@ def test_io(): calib.set_paths(odir, 'A', [1,2], 'DET01') calib.to_file(overwrite=True) - opath = Path(calib.construct_file_name()).resolve() + opath = Path(calib.get_path()).resolve() with io.fits_open(str(opath)) as hdu: assert hdu[1].header['CALIBID'] == '1,2', 'Calibration ID incorrect' _calib = MinimalCalibFrame.from_file(str(opath)) @@ -119,7 +119,7 @@ def test_parse_key_dir(): odir = Path(data_path('')).resolve() calib.set_paths(odir, 'A', '1', 'DET01') calib.PYP_SPEC = 'this is a test' - opath = Path(calib.construct_file_name()).resolve() + opath = Path(calib.get_path()).resolve() calib.to_file(overwrite=True) key, _odir = CalibFrame.parse_key_dir(str(opath), from_filename=True) @@ -133,7 +133,6 @@ def test_parse_key_dir(): assert key == calib.calib_key, 'Key parsed incorrectly' assert _odir == calib.calib_dir, 'Key parsed incorrectly' -test_parse_key_dir() def test_hdr(): calib = MinimalCalibFrame() diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index 8963cfdfca..f62fd493c3 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -2,6 +2,7 @@ Module to run tests on FlatField class Requires files in Development suite and an Environmental variable """ +from pathlib import Path import os import pytest @@ -11,18 +12,14 @@ import numpy as np from pypeit import calibrations +from pypeit.images import buildimage from pypeit.par import pypeitpar from pypeit.spectrographs.util import load_spectrograph from IPython import embed -from pypeit.tests.tstutils import dummy_fitstbl +from pypeit.tests.tstutils import dummy_fitstbl, data_path -def data_path(filename): - data_dir = os.path.join(os.path.dirname(__file__), 'files') - return os.path.join(data_dir, filename) - - -#@pytest.fixture +@pytest.fixture def fitstbl(): if os.getenv('PYPEIT_DEV') is None: fitstbl = dummy_fitstbl(directory=data_path('')) @@ -43,7 +40,7 @@ def fitstbl(): return fitstbl -#@pytest.fixture +@pytest.fixture def multi_caliBrate(fitstbl): # Grab a science file for configuration specific parameters for idx, row in enumerate(fitstbl): @@ -109,28 +106,38 @@ def test_bias(multi_caliBrate): """ multi_caliBrate.get_bias() -test_bias(multi_caliBrate(fitstbl())) - def test_arc(multi_caliBrate): arc = multi_caliBrate.get_arc() - assert arc.image.shape == (2048,350) + assert isinstance(arc, buildimage.ArcImage), 'arc has wrong type' + assert Path(arc.get_path()).exists(), 'No Arc file written' + assert arc.image.shape == (2048,350), 'Arc has wrong shape' # Cleanup - shutil.rmtree(multi_caliBrate.master_dir) + shutil.rmtree(multi_caliBrate.calib_dir) def test_tiltimg(multi_caliBrate): tilt = multi_caliBrate.get_tiltimg() + assert isinstance(tilt, buildimage.TiltImage), 'tilt has wrong type' + assert Path(tilt.get_path()).exists(), 'No Tilt file written' assert tilt.image.shape == (2048,350) # Cleanup - shutil.rmtree(multi_caliBrate.master_dir) + shutil.rmtree(multi_caliBrate.calib_dir) + def test_bpm(multi_caliBrate): - # Prep - multi_caliBrate.shape = (2048,350) # Build bpm = multi_caliBrate.get_bpm() assert bpm.shape == (2048,350) assert np.sum(bpm) == 0. + +# TODO: Add tests for: +# - get_dark +# - get_flats +# - get_slits +# - get_wv_calib +# - get_tilts + + diff --git a/pypeit/tests/test_flatfield.py b/pypeit/tests/test_flatfield.py index 6521490d30..4d02aa3b7b 100644 --- a/pypeit/tests/test_flatfield.py +++ b/pypeit/tests/test_flatfield.py @@ -1,21 +1,16 @@ """ Module to run tests on FlatField class """ -import os - -import pytest +from pathlib import Path from IPython import embed import numpy as np - from pypeit import flatfield from pypeit import bspline from pypeit.spectrographs.util import load_spectrograph -def data_path(filename): - data_dir = os.path.join(os.path.dirname(__file__), 'files') - return os.path.join(data_dir, filename) +from pypeit.tests.tstutils import data_path def test_flatimages(): @@ -38,28 +33,32 @@ def test_flatimages(): assert flatImages.pixelflat_model is None assert flatImages.pixelflat_spec_illum is None assert flatImages.pixelflat_spat_bsplines is not None + flatImages.set_paths(data_path(''), 'A', '1', 'DET01') # I/O - outfile = data_path('tst_flatimages.fits') - flatImages.to_master_file(outfile) - _flatImages = flatfield.FlatImages.from_file(outfile) + ofile = Path(flatImages.get_path()).resolve() + flatImages.to_file(overwrite=True) + assert ofile.exists(), 'File not written' + + _flatImages = flatfield.FlatImages.from_file(ofile) # Test for key in instant_dict.keys(): if key == 'pixelflat_spat_bsplines': - np.array_equal(flatImages[key][0].breakpoints, - _flatImages[key][0].breakpoints) + assert np.array_equal(flatImages[key][0].breakpoints, + _flatImages[key][0].breakpoints), 'pixelflat breakpoints changed' continue if key == 'illumflat_spat_bsplines': - np.array_equal(flatImages[key][0].breakpoints, - _flatImages[key][0].breakpoints) + assert np.array_equal(flatImages[key][0].breakpoints, + _flatImages[key][0].breakpoints), 'illumflat breakpoints changed' continue if isinstance(instant_dict[key], np.ndarray): assert np.array_equal(flatImages[key],_flatImages[key]) else: assert flatImages[key] == _flatImages[key] - os.remove(outfile) + ofile.unlink() + def test_fit_det_response(): spec = load_spectrograph('keck_kcwi') @@ -76,3 +75,5 @@ def test_fit_det_response(): img = sinemodel(xx, yy, amp, scale, phase, wavelength, angle) model = spec.fit_2d_det_response(img, gpm) assert np.allclose(img, model, atol=0.001), 'structure fitting failed.' + + diff --git a/pypeit/tests/test_slittrace.py b/pypeit/tests/test_slittrace.py index c0237e7d32..79cee2ca6f 100644 --- a/pypeit/tests/test_slittrace.py +++ b/pypeit/tests/test_slittrace.py @@ -1,20 +1,15 @@ """ Module to run tests on SlitTraceSet """ -import os -import pytest +from pathlib import Path + +from IPython import embed import numpy as np from pypeit.slittrace import SlitTraceSet, SlitTraceBitMask -#from pypeit import masterframe - -master_key = 'dummy' -master_dir = os.getcwd() +from pypeit.tests.tstutils import data_path -def data_path(filename): - data_dir = os.path.join(os.path.dirname(__file__), 'files') - return os.path.join(data_dir, filename) def test_bits(): # Make sure bits are correct @@ -22,8 +17,8 @@ def test_bits(): assert bm.bits['USERIGNORE'] == 2, 'Bits changed' assert bm.bits['BADFLATCALIB'] == 6, 'Bits changed' -def test_init(): +def test_init(): slits = SlitTraceSet(left_init=np.full((1000,3), 2, dtype=float), right_init=np.full((1000,3), 8, dtype=float), pypeline='MultiSlit', @@ -33,48 +28,26 @@ def test_init(): center = (left+right)/2 assert np.all(center == 5), 'Bad center' + def test_io(): slits = SlitTraceSet(np.full((1000,3), 2, dtype=float), np.full((1000,3), 8, dtype=float), - 'MultiSlit', - nspat=10, PYP_SPEC='dummy') - master_file = masterframe.construct_file_name(slits, master_key, master_dir=master_dir) - - # Remove any existing file from previous runs that were interrupted - if os.path.isfile(master_file): - os.remove(master_file) + 'MultiSlit', nspat=10, PYP_SPEC='dummy') + slits.set_paths(data_path(''), 'A', '1', 'DET01') + ofile = Path(slits.get_path()).resolve() # Try to save it - slits.to_master_file(master_file) #master_dir, master_key, 'dummy_spectrograph_name') - assert os.path.isfile(master_file), 'File not written' + slits.to_file(overwrite=True) + assert ofile.exists(), 'File not written' # Instantiate an empty SlitTraceSet with the same master file, and # indicate it should be reused - #_slits = SlitTraceSet.from_master('dummy', os.getcwd()) - _slits = SlitTraceSet.from_file(master_file) + _slits = SlitTraceSet.from_file(ofile) assert np.array_equal(_slits.left_init, np.full((1000,3), 2, dtype=float)), 'Bad left read' # And that it's the same as the existing one assert np.array_equal(_slits.left_init, slits.left_init), 'Bad left read' - # Try to read/write to a custom file name - # Remove existing file from previous runs that were interrupted - other_ofile = 'test.fits.gz' - if os.path.isfile(other_ofile): - os.remove(other_ofile) - - # Test write - slits.to_file(other_ofile) - - # Test overwrite - slits.to_file(other_ofile, overwrite=True) - - # Test from_file - _slits = SlitTraceSet.from_file(other_ofile) - assert np.array_equal(slits.right_init, _slits.right_init), 'Bad read from_file' - - # Clean up - os.remove(master_file) - os.remove(other_ofile) + ofile.unlink() def test_io_single(): @@ -84,37 +57,19 @@ def test_io_single(): 'MultiSlit', nspat=10, PYP_SPEC='dummy', maskfile=file) - - # Remove any existing file from previous runs that were interrupted - tst_file = data_path('tst_slittrace.fits') - if os.path.isfile(tst_file): - os.remove(tst_file) + slits.set_paths(data_path(''), 'A', '1', 'DET01') + ofile = Path(slits.get_path()).resolve() # Try to save it - slits.to_file(tst_file) + slits.to_file() - _slits = SlitTraceSet.from_file(tst_file) + # And read it back in + _slits = SlitTraceSet.from_file(ofile) assert np.array_equal(_slits.left_init, np.full((1000, 1), 2, dtype=float)), 'Bad left read' # And that it's the same as the existing one assert np.array_equal(_slits.left_init, slits.left_init), 'Bad left read' - # Try to read/write to a custom file name - # Remove existing file from previous runs that were interrupted - if os.path.isfile(tst_file): - os.remove(tst_file) - - # Test write - slits.to_file(tst_file) - - # Test overwrite - slits.to_file(tst_file, overwrite=True) - - # Test from_file - _slits = SlitTraceSet.from_file(tst_file) - assert np.array_equal(slits.right_init, _slits.right_init), 'Bad read from_file' - - # Clean up - os.remove(tst_file) + ofile.unlink() From 71a5378d36e2674d78eea3fc006e2c062780e865 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 22 Mar 2023 09:25:00 -0700 Subject: [PATCH 080/308] through calibrations --- CHANGES.rst | 3 + pypeit/calibrations.py | 162 +++++++++++++++++---------------- pypeit/datamodel.py | 14 +-- pypeit/tests/test_wavetilts.py | 34 +++---- pypeit/tests/test_wvcalib.py | 56 +++++++----- pypeit/wavecalib.py | 113 +++++++++++------------ pypeit/wavetilts.py | 54 +++++------ 7 files changed, 224 insertions(+), 212 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 349ff93e7d..3f435d34cc 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -11,6 +11,9 @@ - Added new specutils interface - Calibration group numbers can now be anything, as long as there are no more than 63 unique integers. +- Removed use of the term "master", renamed to calibration frames/files. +- Calibration frame naming now done via ``calibframe.CalibFrame`` class. +- Start to deprecate use of ``os.path`` in favor of ``pathlib`` 1.12.1 (21 Feb 2023) -------------------- diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 92a5b8b96c..b6b5957890 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -4,7 +4,6 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ -import os from pathlib import Path from abc import ABCMeta @@ -73,7 +72,7 @@ class Calibrations: msdark (:class:`pypeit.images.buildimage.DarkImage`): msbpm (`numpy.ndarray`_): msarc (:class:`pypeit.images.buildimage.ArcImage`): - Master arc-lamp image. + Arc-lamp calibration frame. alignments (:class:`pypeit.alignframe.Alignments`): wv_calib (:class:`pypeit.wavecalib.WaveCalib`): slits (:class:`pypeit.slittrace.SlitTraceSet`): @@ -574,7 +573,7 @@ def get_flats(self): if len(raw_pixel_files) > 0: msgs.info('Creating pixel-flat calibration frame using files: ') for f in pixflat_image_files: - msgs.prindent(f'{os.path.basename(f)}') + msgs.prindent(f'{Path(f).name}') pixel_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['pixelflatframe'], raw_pixel_files, dark=self.msdark, @@ -584,7 +583,7 @@ def get_flats(self): if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') for f in raw_lampoff_files: - msgs.prindent(f'{os.path.basename(f)}') + msgs.prindent(f'{Path(f).name}') lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['lampoffflatsframe'], raw_lampoff_files, @@ -608,7 +607,7 @@ def get_flats(self): if not pix_is_illum and len(raw_illum_files) > 0: msgs.info('Creating illumination flat calibration frame using files: ') for f in illum_image_files: - msgs.prindent(f'{os.path.basename(f)}') + msgs.prindent(f'{Path(f).name}') illum_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['illumflatframe'], raw_illum_files, dark=self.msdark, bias=self.msbias, @@ -618,7 +617,7 @@ def get_flats(self): if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') for f in raw_lampoff_files: - msgs.prindent(f'{os.path.basename(f)}') + msgs.prindent(f'{Path(f).name}') if lampoff_flat is None: lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['lampoffflatsframe'], @@ -717,10 +716,10 @@ def get_slits(self): edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name( CalibFrame.construct_calib_key(setup, calib_id, detname), calib_dir=self.calib_dir)).resolve() - # Reuse master frame? + # Reuse an exising calibration frame? if edges_file.exists() and self.reuse: self.slits = edgetrace.EdgeTraceSet.from_file(edges_file).get_slits() - self.slits.to_file(slits_file) + self.slits.to_file() if self.user_slits is not None: self.slits.user_mask(detname, self.user_slits) return self.slits @@ -728,7 +727,7 @@ def get_slits(self): # Build the trace image msgs.info('Creating edge tracing calibration frame using files: ') for f in raw_trace_files: - msgs.prindent(f'{os.path.basename(f)}') + msgs.prindent(f'{Path(f).name}') self.traceImage = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['traceframe'], raw_trace_files, bias=self.msbias, bpm=self.msbpm, @@ -738,7 +737,7 @@ def get_slits(self): if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') for f in raw_lampoff_files: - msgs.prindent(f'{os.path.basename(f)}') + msgs.prindent(f'{Path(f).name}') lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['lampoffflatsframe'], raw_lampoff_files, dark=self.msdark, @@ -785,12 +784,17 @@ def get_wv_calib(self): """ Load or generate the 1D wavelength calibrations - Requirements: - msarc, msbpm, slits, det, par - Returns: - dict: :attr:`wv_calib` calibration dict and the updated slit mask array + :class:`~pypeit.wavecalib.WaveCalib`: Object containing wavelength + calibrations and the updated slit mask array. """ + # No wavelength calibration requested + if self.par['wavelengths']['reference'] == 'pixel': + msgs.info('Wavelength "reference" parameter set to "pixel"; no wavelength ' + 'calibration will be performed.') + self.wv_calib = None + return self.wv_calib + # Check for existing data if not self._chk_objs(['msarc', 'msbpm', 'slits']): msgs.warn('Not enough information to load/generate the wavelength calibration. ' @@ -799,68 +803,67 @@ def get_wv_calib(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - if 'arc' not in self.master_key_dict.keys(): - msgs.error('Arc master key not set. First run get_arc.') - # No wavelength calibration requested - if self.par['wavelengths']['reference'] == 'pixel': - msgs.info("A wavelength calibration will not be performed") - self.wv_calib = None - return self.wv_calib + # Prep + _, setup, calib_id = self._prep_calibrations('arc') + + # Construct the detector/mosaic identifier + detname = self.spectrograph.get_det_name(self.det) # Grab arc binning (may be different from science!) # TODO : Do this internally when we have a wv_calib DataContainer binspec, binspat = parse.parse_binning(self.msarc.detector.binning) - masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, - self.master_key_dict['arc'], - master_dir=self.master_dir) - if os.path.isfile(masterframe_name) and self.reuse: - self.wv_calib = wavecalib.WaveCalib.from_file(masterframe_name) + # Construct the expected calibration frame file name + wvcalib_file = Path(wavecalib.WaveCalib.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + + # If it exists and we want to reuse it, do so: + if wvcalib_file.exists() and self.reuse: + self.wv_calib = wavecalib.WaveCalib.from_file(wvcalib_file) self.wv_calib.chk_synced(self.slits) self.slits.mask_wvcalib(self.wv_calib) - else: - # Determine lamp list to use for wavecalib - # Find all the arc frames in this calibration group - is_arc = self.fitstbl.find_frames('arc', calib_ID=self.calib_ID) - lamps = self.spectrograph.get_lamps(self.fitstbl[is_arc]) \ - if self.par['wavelengths']['lamps'] == ['use_header'] else self.par['wavelengths']['lamps'] - meta_dict = dict(self.fitstbl[is_arc][0]) \ - if self.spectrograph.pypeline == 'Echelle' and not self.spectrograph.ech_fixed_format else None - # Instantiate - # TODO: Pull out and pass only the necessary parts of meta_dict to - # this, or include the relevant parts as parameters. See comments - # in PRs #1454 and #1476 on this. - self.waveCalib = wavecalib.BuildWaveCalib(self.msarc, self.slits, self.spectrograph, - self.par['wavelengths'], lamps, - meta_dict = meta_dict, - binspectral=binspec, det=self.det, - master_key=self.master_key_dict['arc'], - qa_path=self.qa_path) #, msbpm=self.msbpm) - self.wv_calib = self.waveCalib.run(skip_QA=(not self.write_qa)) - # If orders were found, save slits to disk - if self.spectrograph.pypeline == 'Echelle' and not self.spectrograph.ech_fixed_format: - self.slits.to_master_file() - # Save to Masters - self.wv_calib.to_master_file(masterframe_name) + return self.wv_calib + + # Determine lamp list to use for wavecalib + # Find all the arc frames in this calibration group + is_arc = self.fitstbl.find_frames('arc', calib_ID=self.calib_ID) + lamps = self.spectrograph.get_lamps(self.fitstbl[is_arc]) \ + if self.par['wavelengths']['lamps'] == ['use_header'] \ + else self.par['wavelengths']['lamps'] + meta_dict = dict(self.fitstbl[is_arc][0]) \ + if self.spectrograph.pypeline == 'Echelle' \ + and not self.spectrograph.ech_fixed_format else None + # Instantiate + # TODO: Pull out and pass only the necessary parts of meta_dict to + # this, or include the relevant parts as parameters. See comments + # in PRs #1454 and #1476 on this. + msgs.info(f'Preparing a {wavecalib.WaveCalib.calib_type} calibration frame.') + self.waveCalib = wavecalib.BuildWaveCalib(self.msarc, self.slits, self.spectrograph, + self.par['wavelengths'], lamps, + meta_dict=meta_dict, binspectral=binspec, + det=self.det, qa_path=self.qa_path) + self.wv_calib = self.waveCalib.run(skip_QA=(not self.write_qa)) + # If orders were found, save slits to disk + if self.spectrograph.pypeline == 'Echelle' and not self.spectrograph.ech_fixed_format: + self.slits.to_file() + # Save calibration frame + self.wv_calib.to_file() # Return return self.wv_calib def get_tilts(self): """ - Load or generate the tilts image - - Requirements: - mstilt, slits, wv_calib - det, par, spectrograph + Load or generate the wavelength tilts calibration frame Returns: - :class:`pypeit.wavetilts.WaveTilts`: - + :class:`~pypeit.wavetilts.WaveTilts`: Object containing the + wavelength tilt calibration. """ # Check for existing data - #TODO add mstilt_inmask to this list when it gets implemented. + # TODO: add mstilt_inmask to this list when it gets implemented. if not self._chk_objs(['mstilt', 'msbpm', 'slits', 'wv_calib']): msgs.warn('Do not have all the necessary objects for tilts. Skipping and may crash ' 'down the line.') @@ -868,32 +871,33 @@ def get_tilts(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - if 'tilt' not in self.master_key_dict.keys(): - msgs.error('Tilt master key not set. First run get_tiltimage.') # Load up? - masterframe_name = masterframe.construct_file_name(wavetilts.WaveTilts, - self.master_key_dict['tilt'], - master_dir=self.master_dir) - if os.path.isfile(masterframe_name) and self.reuse: - self.wavetilts = wavetilts.WaveTilts.from_file(masterframe_name) + _, setup, calib_id = self._prep_calibrations('tilt') + detname = self.spectrograph.get_det_name(self.det) + tilts_file = Path(wavetilts.WaveTilts.construct_file_name( + CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_dir=self.calib_dir)).resolve() + + if tilts_file.exists() and self.reuse: + self.wavetilts = wavetilts.WaveTilts.from_file(tilts_file) self.wavetilts.is_synced(self.slits) self.slits.mask_wavetilts(self.wavetilts) - else: # Build - # Flexure - _spat_flexure = self.mstilt.spat_flexure \ - if self.par['tiltframe']['process']['spat_flexure_correct'] else None - # Instantiate - buildwaveTilts = wavetilts.BuildWaveTilts( - self.mstilt, self.slits, self.spectrograph, self.par['tilts'], - self.par['wavelengths'], det=self.det, qa_path=self.qa_path, - master_key=self.master_key_dict['tilt'], spat_flexure=_spat_flexure) - - # TODO still need to deal with syntax for LRIS ghosts. Maybe we don't need it - self.wavetilts = buildwaveTilts.run(doqa=self.write_qa, show=self.show) - # Save? - self.wavetilts.to_master_file(masterframe_name) + return self.wavetilts + + # Get flexure + _spat_flexure = self.mstilt.spat_flexure \ + if self.par['tiltframe']['process']['spat_flexure_correct'] else None + + # Build + buildwaveTilts = wavetilts.BuildWaveTilts( + self.mstilt, self.slits, self.spectrograph, self.par['tilts'], + self.par['wavelengths'], det=self.det, qa_path=self.qa_path, + spat_flexure=_spat_flexure) + # TODO still need to deal with syntax for LRIS ghosts. Maybe we don't need it + self.wavetilts = buildwaveTilts.run(doqa=self.write_qa, show=self.show) + self.wavetilts.to_file() return self.wavetilts def run_the_steps(self): diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index 1a52259db3..d03468bd20 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -459,8 +459,7 @@ def _validate(self): .. include:: ../include/links.rst """ -import os -import warnings +from pathlib import Path from IPython import embed @@ -1485,7 +1484,7 @@ def to_file(self, ofile, overwrite=False, checksum=True, **kwargs): written fits file is *always* an empty primary header. Args: - ofile (:obj:`str`): + ofile (:obj:`str`, `Path`_): Fits file for the data. File names with '.gz' extensions will be gzipped; see :func:`pypeit.io.write_to_fits`. @@ -1501,7 +1500,7 @@ def to_file(self, ofile, overwrite=False, checksum=True, **kwargs): # because the first argument of the function is always an # astropy.io.fits.HDUList. io.write_to_fits(self.to_hdu(add_primary=True, **kwargs), - ofile, overwrite=overwrite, checksum=checksum) + str(ofile), overwrite=overwrite, checksum=checksum) @classmethod def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): @@ -1511,7 +1510,7 @@ def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): This is a convenience wrapper for :func:`from_hdu`. Args: - ifile (:obj:`str`): + ifile (:obj:`str`, `Path`_): Fits file with the data to read verbose (:obj:`bool`, optional): Print informational messages @@ -1524,14 +1523,15 @@ def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): FileNotFoundError: Raised if the specified file does not exist. """ - if not os.path.isfile(ifile): + _ifile = Path(ifile).resolve() + if not ifile.exists(): raise FileNotFoundError(f'{ifile} does not exist!') if verbose: msgs.info(f'Loading {cls.__name__} from {ifile}') # Do it - with io.fits_open(ifile) as hdu: + with io.fits_open(str(ifile)) as hdu: return cls.from_hdu(hdu, chk_version=chk_version, **kwargs) # obj = cls.from_hdu(hdu, chk_version=chk_version, **kwargs) diff --git a/pypeit/tests/test_wavetilts.py b/pypeit/tests/test_wavetilts.py index 8261c1aab1..a2b9f38b06 100644 --- a/pypeit/tests/test_wavetilts.py +++ b/pypeit/tests/test_wavetilts.py @@ -2,31 +2,32 @@ Module to run tests on WaveTilts and BuildWaveTilts classes Requires files in Development suite and an Environmental variable """ -import os +from pathlib import Path -import pytest import numpy as np - from pypeit.tests.tstutils import data_path from pypeit import wavetilts -instant_dict = dict(coeffs=np.ones((6,4,1)), - nslit=1, - spat_order=np.array([3]), - spec_order=np.array([5]), - spat_id=np.array([150]), - func2d='legendre2d') - # Test WaveTilts def test_wavetilts(): - # + + instant_dict = dict(coeffs=np.ones((6,4,1)), + nslit=1, + spat_order=np.array([3]), + spec_order=np.array([5]), + spat_id=np.array([150]), + func2d='legendre2d') + wvtilts = wavetilts.WaveTilts(**instant_dict) + wvtilts.set_paths(data_path(''), 'A', '1', 'DET01') # I/O - outfile = data_path('tst_wavetilts.fits') - wvtilts.to_file(outfile, overwrite=True) - _wvtilts = wavetilts.WaveTilts.from_file(outfile) + ofile = Path(wvtilts.get_path()).resolve() + wvtilts.to_file(overwrite=True) + assert ofile.exists(), 'File not written' + + _wvtilts = wavetilts.WaveTilts.from_file(ofile) # Test for key in instant_dict.keys(): @@ -35,6 +36,7 @@ def test_wavetilts(): else: assert wvtilts[key] == _wvtilts[key] # Write again - wvtilts.to_file(outfile, overwrite=True) - os.remove(outfile) + wvtilts.to_file(overwrite=True) + # Clean-up + ofile.unlink() diff --git a/pypeit/tests/test_wvcalib.py b/pypeit/tests/test_wvcalib.py index dc682e3879..c1782bad61 100644 --- a/pypeit/tests/test_wvcalib.py +++ b/pypeit/tests/test_wvcalib.py @@ -1,8 +1,11 @@ """ Module to run tests on WaveCalib and WaveFit """ +from pathlib import Path import os +from IPython import embed + import pytest import numpy as np @@ -16,9 +19,9 @@ def test_wavefit(): "Fuss with the WaveFit DataContainer" - out_file = data_path('test_wavefit.fits') - if os.path.isfile(out_file): - os.remove(out_file) + out_file = Path(data_path('test_wavefit.fits')).resolve() + if out_file.exists(): + out_file.unlink() pypeitFit = fitting.PypeItFit(fitc=np.arange(5).astype(float)) # ions = np.asarray(['CdI', 'HgI']) @@ -41,7 +44,7 @@ def test_wavefit(): waveFit2b = wv_fitting.WaveFit.from_file(out_file) assert np.array_equal(waveFit.pypeitfit.fitc, waveFit2b.pypeitfit.fitc) # Finish - os.remove(out_file) + out_file.unlink() # No fit waveFit3 = wv_fitting.WaveFit(99, pypeitfit=None, pixel_fit=np.arange(10).astype(float), @@ -52,15 +55,11 @@ def test_wavefit(): assert waveFit4.pypeitfit is None # Clean up - os.remove(out_file) - + out_file.unlink() def test_wavecalib(): "Fuss with the WaveCalib DataContainer" - out_file = data_path('test_wavecalib.fits') - if os.path.isfile(out_file): - os.remove(out_file) # Pieces pypeitFit = fitting.PypeItFit(fitc=np.arange(5).astype(float), xval=np.linspace(1,100., 100)) # 2D fit @@ -73,12 +72,16 @@ def test_wavecalib(): waveCalib = wavecalib.WaveCalib(wv_fits=np.asarray([waveFit]), nslits=1, spat_ids=np.asarray([232]), wv_fit2d=np.array([pypeitFit2])) + waveCalib.set_paths(data_path(''), 'A', '1', 'DET01') + + ofile = Path(waveCalib.get_path()).resolve() # Write - waveCalib.to_file(out_file) + waveCalib.to_file(overwrite=True) + assert ofile.exists(), 'File not written' # Read - waveCalib2 = wavecalib.WaveCalib.from_file(out_file) + waveCalib2 = wavecalib.WaveCalib.from_file(ofile) # Test assert np.array_equal(waveCalib.spat_ids, waveCalib2.spat_ids), 'Bad spat_ids' @@ -87,19 +90,19 @@ def test_wavecalib(): assert np.array_equal(waveCalib.wv_fit2d[0].xval, waveCalib2.wv_fit2d[0].xval) # Write again! - waveCalib2.to_file(out_file, overwrite=True) + waveCalib2.to_file(overwrite=True) # Finish - os.remove(out_file) - + ofile.unlink() # With None (failed wave) spat_ids = np.asarray([232, 949]) waveCalib3 = wavecalib.WaveCalib(wv_fits=np.asarray([waveFit, wv_fitting.WaveFit(949)]), nslits=2, spat_ids=spat_ids, wv_fit2d=np.array([pypeitFit2, pypeitFit2])) - waveCalib3.to_file(out_file) - waveCalib4 = wavecalib.WaveCalib.from_file(out_file) + waveCalib3.set_paths(data_path(''), 'A', '1', 'DET01') + waveCalib3.to_file(overwrite=True) + waveCalib4 = wavecalib.WaveCalib.from_file(ofile) # Check masking slits = slittrace.SlitTraceSet(left_init=np.full((1000,2), 2, dtype=float), @@ -110,13 +113,11 @@ def test_wavecalib(): assert slits.bitmask.flagged(slits.mask[1], flag='BADWVCALIB') # Finish - os.remove(out_file) + ofile.unlink() + def test_wvcalib_no2d(): """ Test WaveCalib without a 2D fit (not echelle) """ - out_file = data_path('test_wavecalib.fits') - if os.path.isfile(out_file): - os.remove(out_file) # Pieces pypeitFit = fitting.PypeItFit(fitc=np.arange(5).astype(float), xval=np.linspace(1,100., 100)) waveFit = wv_fitting.WaveFit(232, pypeitfit=pypeitFit, pixel_fit=np.arange(10).astype(float), @@ -126,9 +127,18 @@ def test_wvcalib_no2d(): spat_ids = np.asarray([232, 949]) waveCalib = wavecalib.WaveCalib(wv_fits=np.asarray([waveFit, wv_fitting.WaveFit(949)]), nslits=2, spat_ids=spat_ids) - waveCalib.to_file(out_file) - waveCalib2 = wavecalib.WaveCalib.from_file(out_file) + waveCalib.set_paths(data_path(''), 'A', '1', 'DET01') + ofile = Path(waveCalib.get_path()).resolve() + + waveCalib.to_file(overwrite=True) + assert ofile.exists(), 'File not written' + waveCalib2 = wavecalib.WaveCalib.from_file(ofile) + assert len(waveCalib2.wv_fits) == 2, 'Should be two wavelength fits' + assert waveCalib2.wv_fits[0].spat_id == 232, 'Wrong spat_id' + assert np.array_equal(waveCalib2.wv_fits[0].wave_fit, waveCalib.wv_fits[0].wave_fit), \ + 'Bad wave_fit read' # Finish - os.remove(out_file) \ No newline at end of file + ofile.unlink() + diff --git a/pypeit/wavecalib.py b/pypeit/wavecalib.py index 8c6ec8de4d..a71deff7c4 100644 --- a/pypeit/wavecalib.py +++ b/pypeit/wavecalib.py @@ -4,15 +4,13 @@ .. include:: ../include/links.rst """ -import os import inspect import json import numpy as np - from matplotlib import pyplot as plt -from linetools import utils as ltu +from linetools.utils import jsonify from astropy.table import Table from pypeit import msgs @@ -21,14 +19,15 @@ from pypeit.core.wavecal import autoid, wv_fitting from pypeit.core.gui.identify import Identify from pypeit import datamodel +from pypeit import calibframe from pypeit.core.wavecal import echelle from IPython import embed -class WaveCalib(datamodel.DataContainer): +class WaveCalib(calibframe.CalibFrame): """ - DataContainer for the output from BuildWaveCalib + Calibration frame containing the wavelength calibration. All of the items in the datamodel are required for instantiation, although they can be None (but shouldn't be) @@ -40,18 +39,28 @@ class WaveCalib(datamodel.DataContainer): """ version = '1.1.0' - # MasterFrame fun - master_type = 'WaveCalib' - master_file_format = 'fits' + # Calibration frame attributes + calib_type = 'WaveCalib' + calib_file_format = 'fits' + + # NOTE: + # - Internals are identical to the base class + # - Datamodel already contains CalibFrame base elements, so no need to + # include it here. - datamodel = {'wv_fits': dict(otype=np.ndarray, atype=wv_fitting.WaveFit, + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), + 'wv_fits': dict(otype=np.ndarray, atype=wv_fitting.WaveFit, descr='WaveFit to each 1D wavelength solution'), #'wv_fit2d': dict(otype=fitting.PypeItFit, # descr='2D wavelength solution (echelle)'), 'wv_fit2d': dict(otype=np.ndarray, atype=fitting.PypeItFit, - descr='2D wavelength solution(s) (echelle). If there is more than one, they must be aligned to the separate detectors analyzed'), + descr='2D wavelength solution(s) (echelle). If there is more ' + 'than one, they must be aligned to the separate detectors ' + 'analyzed'), 'det_img': dict(otype=np.ndarray, atype=np.integer, - descr='Detector image which indicates which pixel in the mosaic corresponds to which detector; used occasionally by echelle. Currently only saved if ech_separate_2d=True'), + descr='Detector image which indicates which pixel in the mosaic ' + 'corresponds to which detector; used occasionally by ' + 'echelle. Currently only saved if ech_separate_2d=True'), 'arc_spectra': dict(otype=np.ndarray, atype=np.floating, descr='2D array: 1D extracted spectra, slit by slit ' '(nspec, nslits)'), @@ -59,9 +68,9 @@ class WaveCalib(datamodel.DataContainer): descr='Total number of slits. This can include masked slits'), 'spat_ids': dict(otype=np.ndarray, atype=np.integer, descr='Slit spat_ids. Named distinctly from that in WaveFit '), - 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'strpar': dict(otype=str, descr='Parameters as a string'), - 'lamps': dict(otype=str, descr='List of arc lamps used for the wavelength calibration')} + 'lamps': dict(otype=str, + descr='List of arc lamps used for the wavelength calibration')} def __init__(self, wv_fits=None, nslits=None, spat_ids=None, PYP_SPEC=None, strpar=None, wv_fit2d=None, arc_spectra=None, lamps=None, @@ -72,27 +81,20 @@ def __init__(self, wv_fits=None, nslits=None, spat_ids=None, PYP_SPEC=None, # Setup the DataContainer datamodel.DataContainer.__init__(self, d=d) - def _init_internals(self): - # Master stuff - self.master_key = None - self.master_dir = None - def _bundle(self): """ - Over-write default _bundle() method to write one - HDU per image. Any extras are in the HDU header of - the primary image. + Override base class function to write one HDU per image. Any extras are + in the HDU header of the primary image. Returns: :obj:`list`: A list of dictionaries, each list element is - written to its own fits extension. See the description - above. + written to its own fits extension. """ _d = [] - # Spat_ID first + # Spat_ID are always first if self.spat_ids is None: - msgs.error("Cannot write WaveCalib without spat_ids") + msgs.error('Cannot write WaveCalib without spat_ids!') _d.append(dict(spat_ids=self.spat_ids)) # Rest of the datamodel @@ -137,27 +139,15 @@ def _bundle(self): # Return return _d - # TODO: Although I don't like doing it, kwargs is here to catch the - # extraneous keywords that can be passed to _parse from the base class but - # won't be used. @classmethod - def _parse(cls, hdu, ext=None, transpose_table_arrays=False, debug=False, - hdu_prefix=None, **kwargs): + def _parse(cls, hdu, **kwargs): """ - See datamodel.DataContainer for docs - - Args: - hdu: - ext: - transpose_table_arrays: - debug: - hdu_prefix: - - Returns: - + See :func:`~pypeit.datamodel.DataContainer._parse` for description and + list of returned objects. All keyword arguments are ignored by this + function! """ - # Grab everything but the bspline's - _d, dm_version_passed, dm_type_passed, parsed_hdus = super(WaveCalib, cls)._parse(hdu) + # Grab everything but the bsplines + _d, dm_version_passed, dm_type_passed, parsed_hdus = super()._parse(hdu) # Now the wave_fits list_of_wave_fits = [] list_of_wave2d_fits = [] @@ -209,7 +199,8 @@ def chk_synced(self, slits): """ if not np.array_equal(self.spat_ids, slits.spat_id): - msgs.error("Your wvcalib solutions are out of sync with your slits. Remove Masters and start from scratch") + msgs.error('Your wavelength solutions are out of sync with your slits. Remove ' + 'Calibrations and restart from scratch.') def build_waveimg(self, tilts, slits, spat_flexure=None, spec_flexure=None): """ @@ -388,8 +379,6 @@ class BuildWaveCalib: Bad pixel mask image qa_path (str, optional): For QA - master_key (:obj:`str`, optional): - For naming QA only Attributes: steps : list @@ -412,10 +401,11 @@ class BuildWaveCalib: wvc_bpm (`numpy.ndarray`_): Mask for slits attempted to have a wv_calib solution """ + # TODO: Is this used anywhere? frametype = 'wv_calib' - def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, meta_dict=None, det=1, - qa_path=None, msbpm=None, master_key=None): + def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, meta_dict=None, + det=1, qa_path=None, msbpm=None): # TODO: This should be a stop-gap to avoid instantiation of this with # any Nones. @@ -428,7 +418,7 @@ def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, met self.spectrograph = spectrograph self.par = par self.lamps = lamps - self.meta_dict=meta_dict + self.meta_dict = meta_dict # Optional parameters self.bpm = self.msarc.select_flag(flag='BPM') if msbpm is None else msbpm.astype(bool) @@ -437,7 +427,6 @@ def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, met self.binspectral = binspectral self.qa_path = qa_path self.det = det - self.master_key = master_key # Attributes self.steps = [] # steps executed @@ -451,10 +440,6 @@ def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, met except: self.nonlinear_counts = 1e10 -# self.nonlinear_counts = 1e10 if self.spectrograph is None \ -# else self.spectrograph.nonlinear_counts(self.msarc.detector) - #else self.spectrograph.nonlinear_counts(self.det) - # -------------------------------------------------------------- # TODO: Build another base class that does these things for both # WaveTilts and WaveCalib? @@ -620,6 +605,11 @@ def build_wv_calib(self, arccen, method, skip_QA=False): spat_ids=self.slits.spat_id, PYP_SPEC=self.spectrograph.name, lamps=','.join(self.lamps)) + # Inherit the calibration frame naming from self.msarc + # TODO: Should throw an error here if these calibration frame naming + # elements are not defined by self.msarc... + self.wv_calib.set_paths(self.msarc.calib_dir, self.msarc.setup, self.msarc.calib_id, + self.spectrograph.get_det_name(self.msarc.detector.det)) # Update mask self.update_wvmask() @@ -628,7 +618,7 @@ def build_wv_calib(self, arccen, method, skip_QA=False): if not skip_QA: ok_mask_idx = np.where(np.invert(self.wvc_bpm))[0] for slit_idx in ok_mask_idx: - outfile = qa.set_qa_filename(self.master_key, 'arc_fit_qa', + outfile = qa.set_qa_filename(self.wv_calib.calib_key, 'arc_fit_qa', slit=self.slits.slitord_id[slit_idx], out_dir=self.qa_path) # @@ -723,6 +713,13 @@ def echelle_2dfit(self, wv_calib, debug=False, skip_QA=False): # QA if not skip_QA: + if wv_calib.calib_key is None: + msgs.warn('WaveCalib object provided does not have a defined calibration ' + 'key. The QA files will not include this key in the file name, ' + 'meaning that existing QA files may be overwritten.') + calib_key = '' + else: + calib_key = wv_calib.calib_key # Separate detectors? if self.par['ech_separate_2d']: det_str = f'_{idet}' @@ -730,12 +727,12 @@ def echelle_2dfit(self, wv_calib, debug=False, skip_QA=False): det_str = '' # Global QA outfile_global = qa.set_qa_filename( - self.master_key+det_str, 'arc_fit2d_global_qa', + calib_key+det_str, 'arc_fit2d_global_qa', out_dir=self.qa_path) arc.fit2darc_global_qa(fit2d, nspec, outfile=outfile_global) # Order QA outfile_orders = qa.set_qa_filename( - self.master_key+det_str, 'arc_fit2d_orders_qa', + calib_key+det_str, 'arc_fit2d_orders_qa', out_dir=self.qa_path) arc.fit2darc_orders_qa(fit2d, nspec, outfile=outfile_orders) @@ -839,7 +836,7 @@ def run(self, skip_QA=False, debug=False): # Pack up sv_par = self.par.data.copy() - j_par = ltu.jsonify(sv_par) + j_par = jsonify(sv_par) self.wv_calib['strpar'] = json.dumps(j_par)#, sort_keys=True, indent=4, separators=(',', ': ')) return self.wv_calib diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index e0eb0c513f..b27a6908c6 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -9,22 +9,23 @@ import copy import inspect +from IPython import embed + import numpy as np from matplotlib import pyplot as plt from astropy import stats, visualization from pypeit import msgs, datamodel +from pypeit import calibframe from pypeit.display import display from pypeit.core import arc from pypeit.core import tracewave -from IPython import embed - -class WaveTilts(datamodel.DataContainer): +class WaveTilts(calibframe.CalibFrame): """ - Simple DataContainer for the output from BuildWaveTilts + Calibration frame containing the wavelength tilt calibration. All of the items in the datamodel are required for instantiation, although they can be None (but shouldn't be) @@ -41,11 +42,17 @@ class WaveTilts(datamodel.DataContainer): """ version = '1.1.0' - # MasterFrame fun - master_type = 'Tilts' - master_file_format = 'fits' + # Calibration frame attributes + calib_type = 'Tilts' + calib_file_format = 'fits' - datamodel = {'coeffs': dict(otype=np.ndarray, atype=np.floating, + # NOTE: + # - Internals are identical to the base class + # - Datamodel already contains CalibFrame base elements, so no need to + # include it here. + + datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), + 'coeffs': dict(otype=np.ndarray, atype=np.floating, descr='2D coefficents for the fit on the initial slits. One ' 'set per slit/order (3D array).'), 'bpmtilts': dict(otype=np.ndarray, atype=np.integer, @@ -59,7 +66,6 @@ class WaveTilts(datamodel.DataContainer): 'spec_order': dict(otype=np.ndarray, atype=np.integer, descr='Order for spectral fit (nslit)'), 'func2d': dict(otype=str, descr='Function used for the 2D fit'), - 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage')} def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, @@ -71,11 +77,6 @@ def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmti # Setup the DataContainer datamodel.DataContainer.__init__(self, d=d) - def _init_internals(self): - # Master stuff - self.master_key = None - self.master_dir = None - def _bundle(self): """ Bundle the data in preparation for writing to a fits file. @@ -171,8 +172,6 @@ class BuildWaveTilts: Attributes: spectrograph (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): - tilts_dict (dict): - Holds the tilts data steps : list mask : ndarray, bool True = Ignore this slit @@ -203,7 +202,6 @@ def __init__(self, mstilt, slits, spectrograph, par, wavepar, det=1, qa_path=Non self.slits = slits self.det = det self.qa_path = qa_path - self.master_key = master_key self.spat_flexure = spat_flexure # Get the non-linear count level @@ -213,11 +211,6 @@ def __init__(self, mstilt, slits, spectrograph, par, wavepar, det=1, qa_path=Non except: self.nonlinear_counts = 1e10 -# # Get the non-linear count level -# self.nonlinear_counts = 1e10 if self.spectrograph is None \ -# else self.mstilt.detector.nonlinear_counts() -## else self.spectrograph.nonlinear_counts(self.mstilt.detector) - # Set the slitmask and slit boundary related attributes that the # code needs for execution. This also deals with arcimages that # have a different binning then the trace images used to defined @@ -708,13 +701,16 @@ def run(self, doqa=True, debug=False, show=False): if np.any(bpm): bpmtilts[bpm] = self.slits.bitmask.turn_on(bpmtilts[bpm], flag) - # Build and return DataContainer - tilts_dict = {'coeffs':self.coeffs, - 'func2d':self.par['func2d'], 'nslit':self.slits.nslits, - 'spat_order':self.spat_order, 'spec_order':self.spec_order, - 'spat_id':self.slits.spat_id, 'bpmtilts': bpmtilts, - 'spat_flexure': self.spat_flexure, 'PYP_SPEC': self.spectrograph.name} - return WaveTilts(**tilts_dict) + # Build and return the calibration frame + tilts = WaveTilts(self.coeffs, self.slits.nslits, self.slits.spat_id, self.spat_order, + self.spec_order, self.par['func2d'], bpmtilts=bpmtilts, + spat_flexure=self.spat_flexure, PYP_SPEC=self.spectrograph.name) + # Inherit the calibration frame naming from self.mstilts + # TODO: Should throw an error here if these calibration frame naming + # elements are not defined by self.mstilts... + tilts.set_paths(self.mstilts.calib_dir, self.mstilts.setup, self.mstilts.calib_id, + self.spectrograph.get_det_name(self.mstilts.detector.det)) + return tilts def _parse_param(self, par, key, slit): """ From 13752e75e0f3de28f3714d3f06c0cb7f5f937926 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Wed, 22 Mar 2023 11:38:22 -0700 Subject: [PATCH 081/308] Minor tweaks modified: pypeit/core/flux_calib.py --- pypeit/core/flux_calib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index 0423046d17..d0d4fefbff 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -988,7 +988,7 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, whether you need to mask hydrogen absorption lines mask_helium_lines: bool, optional whether you need to mask hydrogen absorption lines - mask_tell: bool, optional + mask_telluric: bool, optional whether you need to mask telluric region. If False, the returned msk_tell are all good. balm_mask_wid: float in units of angstrom From bd130a889b2eb9deceffa8cf7850f7aa2cdc27f8 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 22 Mar 2023 15:22:55 -0700 Subject: [PATCH 082/308] setup refactor --- pypeit/calibrations.py | 118 +++++++++++++- pypeit/io.py | 27 ++-- pypeit/metadata.py | 212 +++++++++++++----------- pypeit/par/pypeitpar.py | 12 +- pypeit/pypeit.py | 45 +++--- pypeit/pypeitsetup.py | 347 +++++++++++++++++----------------------- pypeit/scripts/setup.py | 68 +++++--- pypeit/spec2dobj.py | 35 ++-- 8 files changed, 489 insertions(+), 375 deletions(-) diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index b6b5957890..c26af66cd7 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -5,14 +5,17 @@ .. include:: ../include/links.rst """ from pathlib import Path - +from datetime import datetime +from copy import deepcopy from abc import ABCMeta from collections import Counter from IPython import embed import numpy as np +import yaml +from pypeit import __version__ from pypeit import msgs from pypeit import alignframe from pypeit import flatfield @@ -28,6 +31,7 @@ from pypeit.par import pypeitpar from pypeit.spectrographs.spectrograph import Spectrograph from pypeit import io +from pypeit import utils class Calibrations: @@ -955,6 +959,118 @@ def __repr__(self): txt += '>' return txt + @staticmethod + def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=None, + overwrite=False): + """ + Write a file listing the associations between the processed calibration + frames and their source raw files for every setup and every calibration + group. + + Args: + ofile (:obj:`str`, `Path`_): + Full path to the output file. + fitstbl (:class:`pypeit.metadata.PypeItMetaData`): + The class holding the metadata for all the frames to process. + spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): + Spectrograph object + caldir (:obj:`str`, `Path`_): + Path for the processed calibration frames. + subset (`numpy.ndarray`_, optional): + A boolean array selecting a subset of rows from ``fitstbl`` for + output. + det (:obj:`int`, :obj:`tuple`, optional): + The specific detector (or mosaic) to use when constructing the + output processed calibration group file names. If None, a + placeholder is used. + overwrite (:obj:`bool`, optional): + Overwrite any existing file of the same name. + """ + if fitstbl.calib_groups is None: + msgs.error('Calibration groups have not been defined!') + + _ofile = Path(ofile).resolve() + if _ofile.exists() and not overwrite: + msgs.error(f'{_ofile} exists! To overwrite, set overwrite=True.') + + _caldir = str(Path(caldir).resolve()) + + # This defines the classes used by each frametype that results in an + # output calibration frame: + frame_calibrations = {'align': [alignframe.Alignments], + 'arc': [buildimage.ArcImage, wavecalib.WaveCalib], + 'bias': [buildimage.BiasImage], + 'dark': [buildimage.DarkImage], + 'pixelflat': [flatfield.FlatImages], + 'illumflat': [flatfield.FlatImages], + 'lampoffflats': [flatfield.FlatImages], + 'trace': [edgetrace.EdgeTraceSet, slittrace.SlitTraceSet], + 'tilt': [buildimage.TiltImage, wavetilts.WaveTilts] + } + + # Get the name of the detector/mosaic + detname = spectrograph.get_det_name(1 if det is None else det) + + # Find the unique configuations in the metaddata + setups = fitstbl.unique_configurations(copy=True, rm_none=True) + + # Subset to output + if subset is None: + subset = np.ones(len(fitstbl), dtype=bool) + + cfg = {} + # Iterate through each setup + for setup in setups.keys(): + cfg[setup] = {} + cfg[setup]['--'] = deepcopy(setups[setup]) + in_setup = fitstbl.find_configuration(setup) & subset + if not any(in_setup): + continue + # Iterate through each calibration group + for calib_ID in fitstbl.calib_groups: + # Find all the frames in this calibration group + in_grp = fitstbl.find_calib_group(calib_ID) & in_setup + if not any(in_grp): + continue + + cfg[setup][calib_ID] = {} + + # First list the science and standard (and sky?) frames in this + # calibration group + for frametype in ['science', 'standard']: + indx = fitstbl.find_frames(frametype) & in_grp + if not any(indx): + continue + cfg[setup][calib_ID][frametype] = fitstbl.frame_paths(indx) + + # Iterate through each frame type + for frametype, calib_classes in frame_calibrations.items(): + indx = fitstbl.find_frames(frametype) & in_grp + if not any(indx): + continue + if not all(fitstbl['calib'][indx] == fitstbl['calib'][indx][0]): + msgs.error(f'CODING ERROR: All {frametype} frames in group {calib_ID} ' + 'are not all associated with the same subset of calibration ' + 'groups; calib for the first file is ' + f'{fitstbl["calib"][indx][0]}.') + calib_key = CalibFrame.construct_calib_key(setup, fitstbl['calib'][indx][0], + detname) + cfg[setup][calib_ID][frametype] = {} + cfg[setup][calib_ID][frametype]['raw'] = fitstbl.frame_paths(indx) + cfg[setup][calib_ID][frametype]['proc'] \ + = [calib_class.construct_file_name(calib_key, calib_dir=_caldir) + for calib_class in frame_calibrations[frametype]] + + # Write it + with open(_ofile, 'w') as ff: + ff.write('# Auto-generated calibration association file using PypeIt version: ' + f' {__version__}\n') + ff.write(f'# UTC {datetime.utcnow().isoformat(timespec="milliseconds")}\n') + if det is None: + ff.write(f'# NOTE: {detname} is a placeholder for the reduced detectors/mosaics\n') + ff.write(yaml.dump(utils.yamlify(cfg))) + msgs.info(f'Calibration association file written to: {_ofile}') + class MultiSlitCalibrations(Calibrations): """ diff --git a/pypeit/io.py b/pypeit/io.py index acadd6fd54..d231c465d3 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -855,22 +855,25 @@ def grab_rawfiles(raw_paths:list=None, def files_from_extension(raw_path:str, extension:str='fits'): - """ Grab the list of files with a given extension + """ + Grab the list of files with a given extension - Args: - raw_path (str): - Path to raw files - extension (str, optional): - File extension to search on. Defaults to '.fits'. + Args: + raw_path (str): + Path to raw files, which may or may not include the prefix of the + files to search for. For example, this can be the directory + ``'/path/to/files/'`` or the directory plus the file prefix + ``'/path/to/files/prefix'``, which yeilds the search strings + ``'/path/to/files/*fits'`` or ``'/path/to/files/prefix*fits'``, + respectively. + extension (str, optional): + File extension to search on. - Returns: - list: List of raw data filenames (sorted) with full path + Returns: + list: List of raw data filenames (sorted) with full path """ # Grab the list of files dfname = os.path.join(raw_path, '*{0}*'.format(extension)) \ if os.path.isdir(raw_path) else '{0}*{1}*'.format(raw_path, extension) - data_files = glob.glob(dfname) - data_files.sort() + return sorted(glob.glob(dfname)) - # Return - return data_files diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 9583a3d487..a074451441 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -5,6 +5,7 @@ .. include:: ../include/links.rst """ import os +from pathlib import Path import io import string from copy import deepcopy @@ -688,8 +689,7 @@ def unique_configurations(self, force=False, copy=False, rm_none=False): uniq, indx = np.unique(self['setup'], return_index=True) ignore = uniq == 'None' if np.sum(ignore) > 0: - msgs.warn('Ignoring {0} frames with configuration set to None.'.format( - np.sum(ignore))) + msgs.warn(f'Ignoring {np.sum(ignore)} frames with configuration set to None.') self.configs = {} for i in range(len(uniq)): if ignore[i]: @@ -937,6 +937,33 @@ def clean_configurations(self): # And remove 'em self.table = self.table[good] + def find_configuration(self, setup, index=False): + """ + Find all frames associated with the provided setup/configuration. + + Args: + setup (:obj:`str`): + The setup/configuration to search on. + index (:obj:`bool`, optional): + Return an array of 0-indexed indices instead of a + boolean array. + + Returns: + numpy.ndarray: A boolean array, or an integer array if + ``index=True``, with the table rows associated with the requested + setup/configuration. + """ + if 'setup' not in self.keys(): + msgs.error('Configurations not set; first execute self.unique_configurations.') + + # NOTE: frames can be associated with multiple setups (namely biases), + # meaning that we have to split the string by any separating commas. + # This has the added benefit that ``'A' in 'AA'`` is True (a bug in our + # setup naming system in the albeit crazy case when someone is trying to + # parse more than 26 setups), but ``'A' in 'AA'.split(',')`` is False. + in_cfg = np.array([setup in _set.split(',') for _set in self.table['setup']]) + return np.where(in_cfg)[0] if index else in_cfg + # TODO: Make some tests for this! def _set_calib_group_bits(self): """ @@ -1364,13 +1391,13 @@ def set_pypeit_cols(self, write_bkg_pairs=False, write_manual=False): table> """ # Columns for output - columns = self.spectrograph.pypeit_file_keys() + columns = self.spectrograph.pypeit_file_keys() + ['calib'] extras = [] # comb, bkg columns if write_bkg_pairs: - extras += ['calib', 'comb_id', 'bkg_id'] + extras += ['comb_id', 'bkg_id'] # manual if write_manual: extras += ['manual'] @@ -1452,7 +1479,7 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, consider reformatting/removing it. Args: - ofile (:obj:`str`): + ofile (:obj:`str`, `Path`_): Name for the output sorted file. overwrite (:obj:`bool`, optional): Overwrite any existing file with the same name. @@ -1472,8 +1499,9 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, msgs.error('Cannot write sorted instrument configuration table without \'setup\' ' 'column; run set_configurations.') - if os.path.isfile(ofile) and not overwrite: - msgs.error('{0} already exists. Use ovewrite=True to overwrite.'.format(ofile)) + _ofile = Path(ofile).resolve() + if _ofile.exists() and not overwrite: + msgs.error(f'{_ofile} already exists. Use ovewrite=True to overwrite.') # Grab output columns output_cols = self.set_pypeit_cols(write_bkg_pairs=write_bkg_pairs, @@ -1486,7 +1514,7 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, del cfgs[key] # Construct file - ff = open(ofile, 'w') + ff = open(_ofile, 'w') for setup in cfgs.keys(): # Get the subtable of frames taken in this configuration indx = np.array([setup in _set for _set in self['setup']]) @@ -1518,92 +1546,87 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, ff.write('##end\n') ff.close() - # TODO: Do we need a calib file? - def write_calib(self, ofile, overwrite=True, ignore=None): - """ - Write the calib file. - - The calib file provides the unique instrument configurations - (setups) and the association of each frame from that - configuration with a given calibration group. - - .. todo:: - - This is for backwards compatibility, but we should - consider reformatting/removing it. - - This is complicated by allowing some frame types to have - no association with an instrument configuration - - This is primarily used for QA now; but could probably use the pypeit file instead - - Args: - ofile (:obj:`str`): - Name for the output sorted file. - overwrite (:obj:`bool`, optional): - Overwrite any existing file with the same name. - ignore (:obj:`list`, optional): - Ignore calibration groups in the provided list. - - Raises: - PypeItError: - Raised if the 'setup' or 'calibbit' columns haven't been - defined. - """ - if 'setup' not in self.keys() or 'calibbit' not in self.keys(): - msgs.error('Cannot write calibration groups without \'setup\' and \'calibbit\' ' - 'columns; run set_configurations and set_calibration_groups.') - - if os.path.isfile(ofile) and not overwrite: - msgs.error('{0} already exists. Use ovewrite=True to overwrite.'.format(ofile)) - - # Construct the setups dictionary - cfg = self.unique_configurations(copy=True, rm_none=True) - - # TODO: We should edit the relevant follow-on code so that we - # don't have to do these gymnastics. Or better yet, just stop - # producing/using the *.calib file. - _cfg = {} - for setup in cfg.keys(): - _cfg[setup] = {} - _cfg[setup]['--'] = deepcopy(cfg[setup]) - cfg = _cfg - - # Iterate through the calibration bit names as these are the root of the - # MasterFrames and QA - for icbit in np.unique(self['calibbit'].data): - cbit = int(icbit) # for yaml - # Skip this group - if ignore is not None and cbit in ignore: - continue - - # Find the frames in this group - #in_group = self.find_calib_group(i) - in_cbit = self['calibbit'] == cbit - - # Find the unique configurations in this group, ignoring any - # undefined ('None') configurations - #setup = np.unique(self['setup'][in_group]).tolist() - setup = np.unique(self['setup'][in_cbit]).tolist() - if 'None' in setup: - setup.remove('None') - - # Make sure that each calibration group should only contain - # frames from a single configuration - if len(setup) != 1: - msgs.error('Each calibration group must be from one and only one instrument ' - 'configuration with a valid letter identifier; i.e., the ' - 'configuration cannot be None.') - - # Find the frames of each type in this group - cfg[setup[0]][cbit] = {} - for key in self.type_bitmask.keys(): - #ftype_in_group = self.find_frames(key) & in_group - ftype_in_group = self.find_frames(key) & in_cbit - cfg[setup[0]][cbit][key] = [ os.path.join(d,f) - for d,f in zip(self['directory'][ftype_in_group], - self['filename'][ftype_in_group])] - # Write it - ff = open(ofile, 'w') - ff.write(yaml.dump(utils.yamlify(cfg))) - ff.close() +# def write_calib(self, ofile, overwrite=True, ignore=None): +# """ +# Write the calib file. +# +# The calib file provides the unique instrument configurations +# (setups) and the association of each frame from that +# configuration with a given calibration group. +# +# .. todo:: +# - This is complicated by allowing some frame types to have +# no association with an instrument configuration +# - This is primarily used for QA now. Should allow this file to be +# generated using the pypeit file instead. +# +# Args: +# ofile (:obj:`str`, `Path`_): +# Name for the output sorted file. +# overwrite (:obj:`bool`, optional): +# Overwrite any existing file with the same name. +# ignore (:obj:`list`, optional): +# Ignore calibration groups in the provided list. +# +# Raises: +# PypeItError: +# Raised if the 'setup' or 'calibbit' columns haven't been +# defined. +# """ +# if 'setup' not in self.keys() or 'calibbit' not in self.keys(): +# msgs.error('Cannot write calibration groups without \'setup\' and \'calibbit\' ' +# 'columns; run set_configurations and set_calibration_groups.') +# +# _ofile = Path(ofile).resolve() +# if _ofile.exists() and not overwrite: +# msgs.error(f'{_ofile} already exists. Use ovewrite=True to overwrite.') +# +# # Construct the setups dictionary +# cfg = self.unique_configurations(copy=True, rm_none=True) +# +# _cfg = {} +# for setup in cfg.keys(): +# _cfg[setup] = {} +# _cfg[setup]['--'] = deepcopy(cfg[setup]) +# cfg = _cfg +# +# # Iterate through the calibration bit names as these are the root of the +# # MasterFrames and QA +# for icbit in np.unique(self['calibbit'].data): +# cbit = int(icbit) # for yaml +# # Skip this group +# if ignore is not None and cbit in ignore: +# continue +# +# # Find the frames in this group +# #in_group = self.find_calib_group(i) +# in_cbit = self['calibbit'] == cbit +# +# # Find the unique configurations in this group, ignoring any +# # undefined ('None') configurations +# #setup = np.unique(self['setup'][in_group]).tolist() +# setup = np.unique(self['setup'][in_cbit]).tolist() +# if 'None' in setup: +# setup.remove('None') +# +# # Make sure that each calibration group should only contain +# # frames from a single configuration +# if len(setup) != 1: +# msgs.error('Each calibration group must be from one and only one instrument ' +# 'configuration with a valid letter identifier; i.e., the ' +# 'configuration cannot be None.') +# +# # Find the frames of each type in this group +# cfg[setup[0]][cbit] = {} +# for key in self.type_bitmask.keys(): +# #ftype_in_group = self.find_frames(key) & in_group +# ftype_in_group = self.find_frames(key) & in_cbit +# cfg[setup[0]][cbit][key] = [ os.path.join(d,f) +# for d,f in zip(self['directory'][ftype_in_group], +# self['filename'][ftype_in_group])] +# # Write it +# with open(_ofile, 'w') as ff: +# ff.write(yaml.dump(utils.yamlify(cfg))) def write_pypeit(self, output_path=None, cfg_lines=None, write_bkg_pairs=False, write_manual=False, @@ -1642,7 +1665,6 @@ def write_pypeit(self, output_path=None, cfg_lines=None, list of strings (e.g., ['A','C']). See :attr:`configs`. - Raises: PypeItError: Raised if the 'setup' isn't defined and split is True. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 2d4e666d33..29d9817c59 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3949,12 +3949,12 @@ def __init__(self, calib_dir=None, setup=None, bpm_usebias=None, biasframe=None, descr['calib_dir'] = 'If provided, it should be the name of the folder to ' \ 'write processed calibration files. This is not a full path name.' - # TODO: Is this ever used? This feels like an outdated parameter. - # There is no "masters" parameter... - dtypes['setup'] = str - descr['setup'] = 'If masters=\'force\', this is the setup name to be used: e.g., ' \ - 'C_02_aa . The detector number is ignored but the other information ' \ - 'must match the calibration frames in the relevant folder.' +# # TODO: Is this ever used? This feels like an outdated parameter. +# # There is no "masters" parameter... +# dtypes['setup'] = str +# descr['setup'] = 'If masters=\'force\', this is the setup name to be used: e.g., ' \ +# 'C_02_aa . The detector number is ignored but the other information ' \ +# 'must match the calibration frames in the relevant folder.' defaults['raise_chk_error'] = True dtypes['raise_chk_error'] = bool diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index f4227d2124..45cb14afb4 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -20,8 +20,8 @@ from astropy.table import Table from pypeit import inputfiles +from pypeit.calibframe import CalibFrame from pypeit.core import parse -#from pypeit import masterframe from pypeit import msgs from pypeit import calibrations from pypeit.images import buildimage @@ -61,7 +61,7 @@ class PypeIt: overwrite (:obj:`bool`, optional): Flag to overwrite any existing files/directories. - reuse_masters (:obj:`bool`, optional): + reuse (:obj:`bool`, optional): Reuse any pre-existing calibration files logname (:obj:`str`, optional): The name of an ascii log file with the details of the @@ -83,8 +83,7 @@ class PypeIt: fitstbl (:obj:`pypeit.metadata.PypeItMetaData`): holds the meta info """ - def __init__(self, pypeit_file, verbosity=2, overwrite=True, - reuse_masters=False, logname=None, + def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse=False, logname=None, show=False, redux_path=None, calib_only=False): # Set up logging @@ -168,12 +167,12 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, self.overwrite = overwrite # Currently the runtime argument determines the behavior for - # reuse_masters. - self.reuse_masters = reuse_masters + # reusin calibrations + self.reuse = reuse self.show = show # Set paths - self.calibrations_path = os.path.join(self.par['rdx']['redux_path'], self.par['calibrations']['master_dir']) + self.calibrations_path = os.path.join(self.par['rdx']['redux_path'], self.par['calibrations']['calib_dir']) # Check for calibrations if not self.calib_only: @@ -182,7 +181,7 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, # Report paths msgs.info('Setting reduction path to {0}'.format(self.par['rdx']['redux_path'])) - msgs.info('Master calibration data output to: {0}'.format(self.calibrations_path)) + msgs.info('Calibration frames saved to: {0}'.format(self.calibrations_path)) msgs.info('Science data output to: {0}'.format(self.science_path)) msgs.info('Quality assessment plots output to: {0}'.format(self.qa_path)) # TODO: Is anything written to the qa dir or only to qa/PNGs? @@ -318,7 +317,7 @@ def calib_all(self, run=True): # Instantiate Calibrations class self.caliBrate = calibrations.Calibrations.get_instance( self.fitstbl, self.par['calibrations'], self.spectrograph, - self.calibrations_path, qadir=self.qa_path, reuse_masters=self.reuse_masters, + self.calibrations_path, qadir=self.qa_path, reuse=self.reuse, show=self.show, user_slits=slittrace.merge_user_slit(self.par['rdx']['slitspatnum'], self.par['rdx']['maskIDs'])) @@ -337,8 +336,7 @@ def calib_all(self, run=True): key = self.fitstbl.master_key(grp_frames[0], det=self.det) calib_dict[calib_grp][key] = {} for step in self.caliBrate.steps: - if step in ['bpm', 'slits', - 'wv_calib', 'tilts', 'flats']: + if step in ['bpm', 'slits', 'wv_calib', 'tilts', 'flats']: continue elif step == 'tiltimg': # Annoying kludge step = 'tilt' @@ -561,7 +559,7 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): sciImg_list = [] # List of detectors with successful calibration calibrated_det = [] - # list of successful MasterSlits calibrations to be used in the extraction loop + # list of successful slits calibrations to be used in the extraction loop calib_slits = [] # List of objFind objects objFind_list = [] @@ -602,7 +600,7 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): # we save only the detectors that had a successful calibration, # and we use only those in the extract loop below calibrated_det.append(self.det) - # we also save the successful MasterSlits calibrations because they are used and modified + # we also save the successful slit calibrations because they are used and modified # in the slitmask stuff in between the two loops calib_slits.append(self.caliBrate.slits) # global_sky, skymask and sciImg are needed in the extract loop @@ -682,7 +680,7 @@ def get_sci_metadata(self, frame, det): Returns: 5 objects are returned:: - str: Object type; science or standard - - str: Setup string from master_key() + - str: Setup/configuration string - astropy.time.Time: Time of observation - str: Basename of the frame - str: Binning of the detector @@ -694,15 +692,16 @@ def get_sci_metadata(self, frame, det): obstime = self.fitstbl.construct_obstime(frame) basename = self.fitstbl.construct_basename(frame, obstime=obstime) objtype = self.fitstbl['frametype'][frame] - if 'science' in objtype: + if objtype == 'science': objtype_out = 'science' - elif 'standard' in objtype: + elif objtype == 'standard': objtype_out = 'standard' else: msgs.error('Unrecognized objtype') - setup = self.fitstbl.master_key(frame, det=det) - return objtype_out, setup, obstime, basename, binning - + calib_key = CalibFrame.construct_calib_key(self.fitstbl['setup'][frame], + self.fitstbl['calib'][frame], + self.spectrograph.get_det_name(det)) + return objtype_out, calib_key, obstime, basename, binning def calib_one(self, frames, det): """ @@ -725,8 +724,7 @@ def calib_one(self, frames, det): caliBrate = calibrations.Calibrations.get_instance( self.fitstbl, self.par['calibrations'], self.spectrograph, self.calibrations_path, qadir=self.qa_path, - reuse_masters=self.reuse_masters, - show=self.show, + reuse=self.reuse, show=self.show, user_slits=slittrace.merge_user_slit( self.par['rdx']['slitspatnum'], self.par['rdx']['maskIDs'])) #slitspat_num=self.par['rdx']['slitspatnum']) @@ -804,7 +802,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): ignore_saturation=False) sciImg = sciImg.sub(bgimg) - # Check if the user has manually created a Master sky regions + # Check if the user has manually created a sky region file sky_region_file = None if self.par['reduce']['skysub']['user_regions'] == 'master': # Check if a master Sky Regions file exists for this science frame @@ -1049,8 +1047,7 @@ def save_exposure(self, frame, all_spec2d, all_specobjs, basename, history=None) # Build header pri_hdr = all_spec2d.build_primary_hdr(head2d, self.spectrograph, redux_path=self.par['rdx']['redux_path'], - master_key_dict=self.caliBrate.master_key_dict, - master_dir=self.caliBrate.master_dir, + calib_dir=self.caliBrate.calib_dir, subheader=subheader, history=history) diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index cff670c721..c389533bb5 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -7,36 +7,25 @@ """ import time import os -import glob -import inspect -import datetime from IPython import embed from pypeit import msgs from pypeit.metadata import PypeItMetaData from pypeit import inputfiles - from pypeit.par import PypeItPar from pypeit import io from pypeit.spectrographs.util import load_spectrograph -from IPython import embed -# TODO: Instantiation should just automatically trigger the run -# method... class PypeItSetup: """ Prepare for a pypeit run. - .. todo:: - - This is now mostly a wrapper for PypeItMetaData. Should we - remove this class, or merge PypeItSetup and PypeItMetaData. - - The main deliverables are the set of parameters used for pypeit's - algorithms (:attr:`par`), an :obj:`astropy.table.Table` with the - details of the files to be reduced (:attr:`fitstbl`), and a - dictionary with the list of instrument setups. + The main deliverables are the set of parameters used for PypeIt's algorithms + (:attr:`par`), an `astropy.table.Table`_ with the details of the files to be + reduced (:attr:`fitstbl`), and a dictionary with the list of instrument + setups. Args: file_list (list): @@ -105,14 +94,9 @@ class PypeItSetup: fitstbl (:class:`pypeit.metadata.PypeItMetaData`): A `Table` that provides the salient metadata for the fits files to be reduced. - setup_dict (dict): - The dictionary with the list of instrument setups. - steps (list): - The steps run to provide the pypeit setup. """ - def __init__(self, file_list, path=None, frametype=None, usrdata=None, - setups=None, cfg_lines=None, spectrograph_name=None, - pypeit_file=None, setup_dict=None): + def __init__(self, file_list, frametype=None, usrdata=None, setups=None, cfg_lines=None, + spectrograph_name=None, pypeit_file=None): # The provided list of files cannot be None if file_list is None or len(file_list) == 0: @@ -120,14 +104,10 @@ def __init__(self, file_list, path=None, frametype=None, usrdata=None, # Save input self.file_list = file_list - # TODO: It seems like path is never used... - self.path = os.getcwd() if path is None else path self.frametype = frametype self.usrdata = usrdata self.setups = setups - self.pypeit_file = pypeit_file self.user_cfg = cfg_lines - self.setup_dict = setup_dict # Determine the spectrograph name _spectrograph_name = spectrograph_name if cfg_lines is None \ @@ -138,8 +118,11 @@ def __init__(self, file_list, path=None, frametype=None, usrdata=None, msgs.error('Must provide spectrograph name directly or using configuration lines.') # Instantiate the spectrograph - self.spectrograph = load_spectrograph(_spectrograph_name)#, ifile=file_list[0]) + self.spectrograph = load_spectrograph(_spectrograph_name) + # Set the pypeit file name, if none is provided + self.pypeit_file = self.spectrograph.name + '.pypeit' \ + if pypeit_file is None else pypeit_file # Get the spectrograph specific configuration to be merged with # the user modifications. @@ -152,7 +135,6 @@ def __init__(self, file_list, path=None, frametype=None, usrdata=None, # Prepare internals for execution self.fitstbl = None - self.steps = [] @classmethod def from_pypeit_file(cls, filename): @@ -176,57 +158,33 @@ def from_pypeit_file(cls, filename): usrdata=pypeItFile.data, setups=[pypeItFile.setup_name], cfg_lines=pypeItFile.cfg_lines, - pypeit_file=filename, - setup_dict=pypeItFile.setup) + pypeit_file=filename) + # TODO: Make the default here match the default used by + # io.files_from_extension? @classmethod - def from_file_root(cls, root, spectrograph, extension='.fits', output_path=None): + def from_file_root(cls, root, spectrograph, extension='.fits'): """ Instantiate the :class:`PypeItSetup` object by providing a file root. Args: root (:obj:`str`): - The root path to all the files for PypeIt to reduce. - This should be everything up to the wild-card before the - file extension to use to find the relevant files. The - root itself can have wild cards to read through multiple - directories. + String used to find the raw files; see + :func:`~pypeit.io.files_from_extension`. spectrograph (:obj:`str`): The PypeIt name of the spectrograph used to take the observations. This should be one of the available options in - :func:`pypeit.spectrographs.available_spectrographs`. + :func:`~pypeit.spectrographs.available_spectrographs`. extension (:obj:`str`, optional): - The extension common to all the fits files to reduce. - Default is '.fits', meaning anything with `root*.fits*` - will be be included. - output_path (:obj:`str`, optional): - Path to use for the output. If None, no output is written. - Otherwise, the method first writes a vanilla ``PypeIt`` file - and then uses :func:`from_pypeit_file` to instantiate the - object. If the path doesn't yet exist, it is created. + The extension common to all the fits files to reduce; see + :func:`~pypeit.io.files_from_extension`. Returns: :class:`PypeitSetup`: The instance of the class. """ - if output_path is None: - # Find all the files - dfname = os.path.join(root, '*{0}*'.format(extension)) \ - if os.path.isdir(root) else '{0}*{1}*'.format(root, extension) - # No pypeit file is written and we just construct the setup object - # directly - return cls(sorted(glob.glob(dfname)), spectrograph_name=spectrograph) - - # Set the output directory - if not os.path.isdir(output_path): - os.makedirs(output_path) - - # Grab the list of files - data_files = io.files_from_extension(root, extension=extension) - - # Instantiate - return cls.from_rawfiles(data_files, spectrograph) + return cls.from_rawfiles(io.files_from_extension(root, extension=extension), spectrograph) @classmethod def from_rawfiles(cls, data_files:list, spectrograph:str): @@ -247,8 +205,7 @@ def from_rawfiles(cls, data_files:list, spectrograph:str): cfg_lines += [' spectrograph = {0}'.format(spectrograph)] # Instantiate - return cls(data_files, cfg_lines=cfg_lines) #pypeit_file=filename, - + return cls(data_files, cfg_lines=cfg_lines) @property def nfiles(self): @@ -274,9 +231,9 @@ def build_fitstbl(self, strict=True): warning and continue. Returns: - :obj:`astropy.table.Table`: Table with the metadata for each + `astropy.table.Table`_: Table with the metadata for each fits file to reduce. Note this is different from - :attr:`fitstbl` which is a :obj:`PypeItMetaData` object + :attr:`fitstbl`, which is a :obj:`PypeItMetaData` object. """ # Build and sort the table self.fitstbl = PypeItMetaData(self.spectrograph, par=self.par, @@ -286,8 +243,6 @@ def build_fitstbl(self, strict=True): if 'time' in self.fitstbl.keys(): self.fitstbl.sort('time') - # Add this to the completed steps - self.steps.append(inspect.stack()[0][3]) # Return the table return self.fitstbl.table @@ -305,20 +260,36 @@ def get_frame_types(self, flag_unknown=False): Args: flag_unknown (:obj:`bool`, optional): - Allow for frames to have unknown types instead of - crashing. This should be True for initial setup and - False otherwise. Passed to get_frame_types() - + Allow for frames to have unknown types instead of crashing. + This should be True for initial setup and False otherwise. + Passed to :func:`~pypeit.metadata.PypeItMetaData.get_frame_types`. """ # Use PypeItMetaData methods to get the frame types self.fitstbl.get_frame_types(flag_unknown=flag_unknown, user=self.frametype) - # Include finished processing step - self.steps.append(inspect.stack()[0][3]) - def run(self, setup_only=False, calibration_check=False, - sort_dir=None, write_bkg_pairs=False, write_manual=False, - clean_config=True, groupings=True, obslog=False, - write_files=True, no_write_sorted=False): + def run(self, setup_only=False, clean_config=True, groupings=True): +# sort_dir=None, +# write_bkg_pairs=False, write_manual=False, +# , obslog=False, write_files=True, +# no_write_sorted=False): +# calibration_check (obj:`bool`, optional): +# Only check that the calibration frames are +# appropriately setup and exist on disk. ``PypeIt`` is +# expected to execute in a way that ends after this +# class is fully instantiated such that the user can +# inspect the results before proceeding. +# sort_dir (:obj:`str`, `Path`_, optional): +# The directory to put the '.sorted' file. +# write_bkg_pairs (:obj:`bool`, optional): +# Include columns with the (unassigned) background +# image pairs. This is a convenience so that users can +# more easily add/edit the background pair ID numbers. +# write_manual (:obj:`bool`, optional): +# Add additional ``PypeIt`` columns for manual extraction +# write_files (:obj:`bool`, optional): +# Write the standard files +# no_write_sorted (:obj:`bool`, optional): +# Do not write the .sorted file """ Once instantiated, this is the main method used to construct the object. @@ -327,9 +298,6 @@ def run(self, setup_only=False, calibration_check=False, - Build the fitstbl from an input file_list (optional) - Type the files (bias, arc, etc.) - Match calibration files to the science files - - Generate the setup_dict - - Write group info to disk - - Write calib info to disk (if main run) It is expected that a user will run this three times if they're being careful. Once with `setup_only=True` to confirm the @@ -349,20 +317,6 @@ class is fully instantiated such that the user can warnings (instead of errors) for issues that may cause the reduction itself to fail. If True, this also allows for bad headers. - calibration_check (obj:`bool`, optional): - Only check that the calibration frames are - appropriately setup and exist on disk. ``PypeIt`` is - expected to execute in a way that ends after this - class is fully instantiated such that the user can - inspect the results before proceeding. - sort_dir (:obj:`str`, optional): - The directory to put the '.sorted' file. - write_bkg_pairs (:obj:`bool`, optional): - Include columns with the (unassigned) background - image pairs. This is a convenience so that users can - more easily add/edit the background pair ID numbers. - write_manual (:obj:`bool`, optional): - Add additional ``PypeIt`` columns for manual extraction clean_config (:obj:`bool`, optional): Remove files with metadata that indicate an instrument configuration that ``PypeIt`` cannot @@ -371,10 +325,6 @@ class is fully instantiated such that the user can groupings (:obj:`bool`, optional): Group frames into instrument configurations and calibration sets, and add the default combination-group columns. - write_files (:obj:`bool`, optional): - Write the standard files - no_write_sorted (:obj:`bool`, optional): - Do not write the .sorted file Returns: :obj:`tuple`: Returns, respectively, the @@ -382,9 +332,7 @@ class is fully instantiated such that the user can reduction parameters, the :class:`~pypeit.spectrographs.spectrograph.Spectrograph` object with the spectrograph instance, and an - `astropy.table.Table`_ with the frame metadata. If - ``setup_only`` is True, these are all returned as None - values. + `astropy.table.Table`_ with the frame metadata. """ # Build the minimal metadata table if it doesn't exist already if self.fitstbl is None: @@ -399,7 +347,7 @@ class is fully instantiated such that the user can 'pypeit_setup with the --keep_bad_frames option.') # Determine the type of each frame. - self.get_frame_types(flag_unknown=setup_only or calibration_check) + self.get_frame_types(flag_unknown=setup_only) # or calibration_check) if groupings: # Determine the configurations and assign each frame to the @@ -412,103 +360,101 @@ class is fully instantiated such that the user can # Set default comb_id self.fitstbl.set_combination_groups() -# # TODO: Are we planning to do this? -# # Assign science IDs based on the calibrations groups (to be -# # deprecated) -# self.fitstbl['failures'] = False # TODO: placeholder - - # Write the output files - if write_files: - self.write(output_path=sort_dir, setup_only=setup_only, - calibration_check=calibration_check, - write_bkg_pairs=write_bkg_pairs, - write_manual=write_manual, - obslog=obslog, no_write_sorted=no_write_sorted) - - return (None, None, None) if setup_only else (self.par, self.spectrograph, self.fitstbl) - - def write(self, output_path=None, setup_only=False, calibration_check=False, - write_bkg_pairs=False, obslog=False, write_manual=False, - no_write_sorted=False): - """ - Write the set of pypeit setup files. - - Args: - output_path (:obj:`str`, optional): - Directory for the output files. - setup_only (:obj:`bool`, optional): - Only this setup will be performed. ``PypeIt`` is - expected to execute in a way that ends after this - class is fully instantiated such that the user can - inspect the results before proceeding. This has the - effect of providing more output describing the - success of the setup and how to proceed, and provides - warnings (instead of errors) for issues that may - cause the reduction itself to fail. - calibration_check (obj:`bool`, optional): - Only check that the calibration frames are - appropriately setup and exist on disk. ``PypeIt`` is - expected to execute in a way that ends after this - class is fully instantiated such that the user can - inspect the results before proceeding. - write_bkg_pairs (:obj:`bool`, optional): - Include columns with the (unassigned) background - image pairs. This is a convenience so that users can - more easily add/edit the background pair ID numbers. - write_manual (:obj:`bool`, optional): - Add additional ``PypeIt`` columns for manual extraction - clean_config (:obj:`bool`, optional): - Remove files with metadata that indicate an - instrument configuration that ``PypeIt`` cannot - reduce. See - :func:`~pypeit.spectrographs.spectrograph.Spectrograph.valid_configuration_values`. - groupings (:obj:`bool`, optional): - Group frames into instrument configurations and calibration - sets, and add the default combination-group columns. - no_write_sorted (:obj:`bool`, optional): - Do not write the .sorted file - """ - pypeit_file = self.spectrograph.name + '.pypeit' \ - if self.pypeit_file is None or len(self.pypeit_file) == 0 \ - else self.pypeit_file - _output_path = os.path.split(os.path.abspath(pypeit_file))[0] if output_path is None \ - else os.path.abspath(output_path) - - if setup_only: - # Collate all matching files and write .sorted Table (on pypeit_setup only) - #if sort_dir is not None: - # sorted_file = os.path.join(sort_dir, os.path.split(sorted_file)[1]) - sorted_file = pypeit_file.replace('.pypeit', '.sorted') - sorted_file = os.path.join(_output_path, os.path.split(sorted_file)[1]) - if not no_write_sorted: - self.fitstbl.write_sorted(sorted_file, write_bkg_pairs=write_bkg_pairs, - write_manual=write_manual) - msgs.info("Wrote sorted file data to {:s}".format(sorted_file)) - else: - # Write the calib file - # This is currently needed for QA - calib_file = pypeit_file.replace('.pypeit', '.calib') - self.fitstbl.write_calib(os.path.join(_output_path, os.path.split(calib_file)[1])) - - if obslog: - log_file = pypeit_file.replace('.pypeit', '.obslog') - log_file = os.path.join(_output_path, os.path.split(log_file)[1]) - header = ['Auto-generated PypeIt Observing Log', - '{0}'.format(time.strftime("%a %d %b %Y %H:%M:%S", time.localtime()))] - self.fitstbl.write(output=log_file, columns='pypeit', sort_col='mjd', - overwrite=True, header=header) - - # Finish (depends on PypeIt run mode) - # TODO: Do we need this? - if calibration_check: - msgs.info("Inspect the .calib file: {:s}".format(calib_file)) - msgs.info("*********************************************************") - msgs.info("Calibration check complete and successful!") - msgs.info("*********************************************************") - - if setup_only: - msgs.info("Setup is complete.") - msgs.info("Inspect the .sorted file") +# # Write the output files +# if write_files: +# self.write(output_path=sort_dir, setup_only=setup_only, +# calibration_check=calibration_check, +# write_bkg_pairs=write_bkg_pairs, +# write_manual=write_manual, +# obslog=obslog, no_write_sorted=no_write_sorted) + + return self.par, self.spectrograph, self.fitstbl + +# def write(self, output_path=None, setup_only=False, calibration_check=False, +# write_bkg_pairs=False, obslog=False, write_manual=False, +# no_write_sorted=False): +# """ +# Write the set of pypeit setup files. +# +# Args: +# output_path (:obj:`str`, `Path`_, optional): +# Directory for the output files. If None, use the current +# working directory, or the path associated with +# :attr:`pypeit_file`. If the path does not exist, this function +# will create it! +# setup_only (:obj:`bool`, optional): +# Only this setup will be performed. ``PypeIt`` is +# expected to execute in a way that ends after this +# class is fully instantiated such that the user can +# inspect the results before proceeding. This has the +# effect of providing more output describing the +# success of the setup and how to proceed, and provides +# warnings (instead of errors) for issues that may +# cause the reduction itself to fail. +# calibration_check (obj:`bool`, optional): +# Only check that the calibration frames are +# appropriately setup and exist on disk. ``PypeIt`` is +# expected to execute in a way that ends after this +# class is fully instantiated such that the user can +# inspect the results before proceeding. +# write_bkg_pairs (:obj:`bool`, optional): +# Include columns with the (unassigned) background +# image pairs. This is a convenience so that users can +# more easily add/edit the background pair ID numbers. +# write_manual (:obj:`bool`, optional): +# Add additional ``PypeIt`` columns for manual extraction +# clean_config (:obj:`bool`, optional): +# Remove files with metadata that indicate an +# instrument configuration that ``PypeIt`` cannot +# reduce. See +# :func:`~pypeit.spectrographs.spectrograph.Spectrograph.valid_configuration_values`. +# groupings (:obj:`bool`, optional): +# Group frames into instrument configurations and calibration +# sets, and add the default combination-group columns. +# no_write_sorted (:obj:`bool`, optional): +# Do not write the .sorted file +# """ +# pypeit_file = self.spectrograph.name + '.pypeit' \ +# if self.pypeit_file is None or len(self.pypeit_file) == 0 \ +# else self.pypeit_file +# _output_path = Path(pypeit_file).resolve().parent if output_path is None \ +# else Path(output_path).resolve() +# if not _output_path.exists(): +# _output_path.mkdir(parents=True) +# pypeit_file = Path(pypeit_file).name +# +# if setup_only: +# # Collate all matching files and write .sorted Table (on pypeit_setup only) +# sorted_file = _output_path / pypeit_file.replace('.pypeit', '.sorted') +# if not no_write_sorted: +# self.fitstbl.write_sorted(sorted_file, write_bkg_pairs=write_bkg_pairs, +# write_manual=write_manual) +# msgs.info(f'Wrote sorted file: {sorted_file}') +# else: +# # Write the calib file +# # This is currently needed for QA +# calib_file = _output_path / pypeit_file.replace('.pypeit', '.calib') +# self.fitstbl.write_calib(calib_file) +# +# if obslog: +# log_file = pypeit_file.replace('.pypeit', '.obslog') +# log_file = os.path.join(_output_path, os.path.split(log_file)[1]) +# header = ['Auto-generated PypeIt Observing Log', +# '{0}'.format(time.strftime("%a %d %b %Y %H:%M:%S", time.localtime()))] +# self.fitstbl.write(output=log_file, columns='pypeit', sort_col='mjd', +# overwrite=True, header=header) +# +# # Finish (depends on PypeIt run mode) +# # TODO: Do we need this? +# if calibration_check: +# msgs.info("Inspect the .calib file: {:s}".format(calib_file)) +# msgs.info("*********************************************************") +# msgs.info("Calibration check complete and successful!") +# msgs.info("*********************************************************") +# +# if setup_only: +# msgs.info("Setup is complete.") +# msgs.info("Inspect the .sorted file") def generate_ql_calib_pypeit_files(self, output_path:str, @@ -562,3 +508,4 @@ def generate_ql_calib_pypeit_files(self, output_path:str, calib_pypeit_files.append(calib_pypeit_file) return calib_pypeit_files + diff --git a/pypeit/scripts/setup.py b/pypeit/scripts/setup.py index 36449e8bb3..8bdcc0338f 100644 --- a/pypeit/scripts/setup.py +++ b/pypeit/scripts/setup.py @@ -5,8 +5,6 @@ .. include:: ../include/links.rst """ -import os - from IPython import embed from pypeit.scripts import scriptbase @@ -59,7 +57,11 @@ def get_parser(cls, width=None): @staticmethod def main(args): + import time + from pathlib import Path + from pypeit.pypeitsetup import PypeItSetup + from pypeit.calibrations import Calibrations if args.spectrograph is None: raise IOError('spectrograph is a required argument. Use the -s, --spectrograph ' @@ -67,27 +69,55 @@ def main(args): # Check that input spectrograph is supported if args.spectrograph not in available_spectrographs: - raise ValueError('Instrument \'{0}\' unknown to PypeIt.\n'.format(args.spectrograph) - + '\tOptions are: {0}\n'.format(', '.join(available_spectrographs)) - + '\tSelect an available instrument or consult the documentation ' - + 'on how to add a new instrument.') - - # Get the output directory - sort_dir = os.path.join(args.output_path, 'setup_files') + raise ValueError(f'Instrument "{args.spectrograph}" unknown to PypeIt.\n' + f'\tOptions are: {", ".join(available_spectrographs)}\n' + '\tSelect an available instrument or consult the documentation ' + 'on how to add a new instrument.') # Initialize PypeItSetup based on the arguments - ps = PypeItSetup.from_file_root(args.root, args.spectrograph, extension=args.extension, - output_path=sort_dir) + ps = PypeItSetup.from_file_root(args.root, args.spectrograph, extension=args.extension) # Run the setup - ps.run(setup_only=True, sort_dir=sort_dir, write_bkg_pairs=args.background, - write_manual=args.manual_extraction, obslog=True, - clean_config=not args.keep_bad_frames) - - # Use PypeItMetaData to write the complete PypeIt file - # TODO: Set cfg_split to 'all' by default? - if args.cfg_split is not None: - ps.fitstbl.write_pypeit(args.output_path, cfg_lines=ps.user_cfg, + ps.run(setup_only=True, clean_config=not args.keep_bad_frames) + + # Print selected files + output_path = Path(args.output_path).resolve() + if args.cfg_split is None: + # Output directory is hard-coded to be 'setup_files' + output_path /= 'setup_files' + if not output_path.exists(): + output_path.mkdir(parents=True) + # Write the sorted file, + sorted_file = output_path / ps.pypeit_file.replace('.pypeit', '.sorted') + ps.fitstbl.write_sorted(sorted_file, write_bkg_pairs=args.background, + write_manual=args.manual_extraction) + # the calib file, + calib_file = sorted_file.with_suffix('.calib') + caldir = calib_file.parent / ps.par['calibrations']['calib_dir'] + Calibrations.association_summary(calib_file, ps.fitstbl, ps.spectrograph, caldir, + overwrite=True) + # and the obslog file + obslog_file = sorted_file.with_suffix('.obslog') + header = ['Auto-generated PypeIt Observing Log', + f'{0}'.format(time.strftime("%a %d %b %Y %H:%M:%S", time.localtime()))] + ps.fitstbl.write(output=obslog_file, columns='pypeit', sort_col='mjd', overwrite=True, + header=header) + else: + # Output directory is hard-coded to be 'setup_files' + if not output_path.exists(): + output_path.mkdir(parents=True) + # Write the pypeit files. + pypeit_files = ps.fitstbl.write_pypeit( + output_path=output_path, cfg_lines=ps.user_cfg, write_bkg_pairs=args.background, write_manual=args.manual_extraction, configs=[item.strip() for item in args.cfg_split.split(',')]) + # Write the calib file for each written pypeit file. + setups = [Path(p).resolve().name.split('.')[0].split('_')[-1] for p in pypeit_files] + for i, setup in enumerate(setups): + indx = ps.fitstbl.find_configuration(setup) + calib_file = Path(pypeit_files[i]).resolve().with_suffix('.calib') + caldir = calib_file.parent / ps.par['calibrations']['calib_dir'] + Calibrations.association_summary(calib_file, ps.fitstbl, ps.spectrograph, + caldir, subset=indx, overwrite=True) + diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index abfdf6556e..82e9ed3158 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -482,7 +482,7 @@ def __getitem__(self, item): """Get an item directly from the internal dict.""" return self.__dict__[item] - def build_primary_hdr(self, raw_header, spectrograph, master_key_dict=None, master_dir=None, + def build_primary_hdr(self, raw_header, spectrograph, calib_dir=None, redux_path=None, subheader=None, history=None): """ Build the primary header for a spec2d file @@ -492,10 +492,8 @@ def build_primary_hdr(self, raw_header, spectrograph, master_key_dict=None, mast Header from the raw FITS file (i.e. original header) spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph used to obtain the data. - master_key_dict (:obj:`dict`, optional): - Dictionary of master keys from :class:`~pypeit.calibrations.Calibrations`. - master_dir (:obj:`str`): - Path to the ``Masters`` folder + calib_dir (:obj:`str`): + Path to the folder with processed calibration frames redux_path (:obj:`str`, optional): Full path to the reduction output files. subheader (:obj:`dict`, optional): @@ -531,17 +529,18 @@ def build_primary_hdr(self, raw_header, spectrograph, master_key_dict=None, mast hdr['PYP_SPEC'] = spectrograph.name hdr['DATE-RDX'] = str(datetime.date.today().strftime('%Y-%m-%d')) - # MasterFrame info - # TODO -- Should this be in the header of the individual HDUs ? - if master_key_dict is not None: - if 'bias' in master_key_dict.keys(): - hdr['BIASMKEY'] = master_key_dict['bias'] - if 'arc' in master_key_dict.keys(): - hdr['ARCMKEY'] = master_key_dict['arc'] - if 'trace' in master_key_dict.keys(): - hdr['TRACMKEY'] = master_key_dict['trace'] - if 'flat' in master_key_dict.keys(): - hdr['FLATMKEY'] = master_key_dict['flat'] + # TODO: Add these things to the HISTORY +# # MasterFrame info +# # TODO -- Should this be in the header of the individual HDUs ? +# if master_key_dict is not None: +# if 'bias' in master_key_dict.keys(): +# hdr['BIASMKEY'] = master_key_dict['bias'] +# if 'arc' in master_key_dict.keys(): +# hdr['ARCMKEY'] = master_key_dict['arc'] +# if 'trace' in master_key_dict.keys(): +# hdr['TRACMKEY'] = master_key_dict['trace'] +# if 'flat' in master_key_dict.keys(): +# hdr['FLATMKEY'] = master_key_dict['flat'] # Processing steps # TODO: Assumes processing steps for all detectors are the same... Does @@ -551,8 +550,8 @@ def build_primary_hdr(self, raw_header, spectrograph, master_key_dict=None, mast hdr['PROCSTEP'] = (','.join(self[det].process_steps), 'Completed reduction steps') # Some paths - if master_dir is not None: - hdr['PYPMFDIR'] = str(master_dir) + if calib_dir is not None: + hdr['CALIBDIR'] = str(calib_dir) if redux_path is not None: hdr['PYPRDXP'] = redux_path # Sky sub mode From 67f24758a0b8584b3630d0a74affa638c99c95b3 Mon Sep 17 00:00:00 2001 From: deborape Date: Wed, 22 Mar 2023 16:46:26 -1000 Subject: [PATCH 083/308] objmag added to spec1d datamodel --- pypeit/slittrace.py | 4 ++++ pypeit/specobj.py | 8 ++++++-- 2 files changed, 10 insertions(+), 2 deletions(-) diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 7b78cb8060..757f63d400 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -934,6 +934,8 @@ def mask_add_missing_obj(self, sobjs, spat_flexure, fwhm, boxcar_rad): thisobj.RA = self.maskdef_designtab['OBJRA'][oidx] thisobj.DEC = self.maskdef_designtab['OBJDEC'][oidx] thisobj.MASKDEF_OBJNAME = self.maskdef_designtab['OBJNAME'][oidx] + thisobj.MASKDEF_OBJMAG = self.maskdef_designtab['OBJMAG'][oidx] + thisobj.MASKDEF_OBJMAG_BAND = self.maskdef_designtab['OBJMAG_BAND'][oidx] thisobj.MASKDEF_ID = self.maskdef_designtab['MASKDEF_ID'][oidx] thisobj.MASKDEF_EXTRACT = True thisobj.hand_extract_flag = False @@ -1074,6 +1076,8 @@ def assign_maskinfo(self, sobjs, plate_scale, spat_flexure, TOLER=1.): sobj.RA = self.maskdef_designtab['OBJRA'][oidx] sobj.DEC = self.maskdef_designtab['OBJDEC'][oidx] sobj.MASKDEF_OBJNAME = self.maskdef_designtab['OBJNAME'][oidx] + sobj.MASKDEF_OBJMAG = self.maskdef_designtab['OBJMAG'][oidx] + sobj.MASKDEF_OBJMAG_BAND = self.maskdef_designtab['OBJMAG_BAND'][oidx] sobj.MASKDEF_EXTRACT = False # Remove that idx value idx = idx.tolist() diff --git a/pypeit/specobj.py b/pypeit/specobj.py index 10f2ca9d0d..313e485dda 100644 --- a/pypeit/specobj.py +++ b/pypeit/specobj.py @@ -54,7 +54,7 @@ class SpecObj(datamodel.DataContainer): Running index for the order. """ - version = '1.1.7' + version = '1.1.8' """ Current datamodel version number. """ @@ -177,6 +177,9 @@ class SpecObj(datamodel.DataContainer): 'DEC': dict(otype=float, descr='Declination (J2000) decimal degree'), 'MASKDEF_ID': dict(otype=(int, np.integer), descr='Slitmask definition ID'), 'MASKDEF_OBJNAME': dict(otype=str, descr='Name of the object from the slitmask definition'), + 'MASKDEF_OBJMAG': dict(otype=str, descr='Magnitude of the object from the slitmask definition'), + 'MASKDEF_OBJMAG_BAND': dict(otype=str, descr='Magnitude band of the object from the slitmask ' + 'definition'), 'MASKDEF_EXTRACT': dict(otype=bool, descr='Boolean indicating if this is a forced extraction ' 'at the expected location from slitmask design. '), 'hand_extract_flag': dict(otype=bool, descr='Boolean indicating if this is a forced extraction ' @@ -632,7 +635,8 @@ def __repr__(self): if hasattr(self, attr) and getattr(self, attr) is not None: # Special ones if attr in ['DET', 'SLITID', 'SPAT_PIXPOS', 'NAME', 'RA', - 'DEC', 'MASKDEF_ID', 'MASKDEF_OBJNAME', 'MASKDEF_EXTRACT']: + 'DEC', 'MASKDEF_ID', 'MASKDEF_OBJNAME', 'MASKDEF_EXTRACT', + 'MASKDEF_OBJMAG', 'MASKDEF_OBJMAG_BAND']: rdict[attr] = getattr(self,attr) else: rdict[attr] = True From 06b7ce7d7eb5bda2ce8b7431798570d7923f1cbd Mon Sep 17 00:00:00 2001 From: deborape Date: Wed, 22 Mar 2023 19:08:43 -1000 Subject: [PATCH 084/308] nires dither (incomplete) --- pypeit/spectrographs/keck_nires.py | 49 ++++++++++++++++++++++++++---- 1 file changed, 43 insertions(+), 6 deletions(-) diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index e83f38ead5..9abdd41d69 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -194,7 +194,7 @@ def get_comb_group(self, fitstbl): Moreover, this method parses from the header the dither pattern of the science/standard frames in a given calibration group and assigns to each of them a comb_id and a - bkg_id. The dither patterns used here are: "ABAB", "ABBA", "ABpat", "ABC" (ABC not yet). + bkg_id. The dither patterns used here are: "ABAB", "ABBA", "ABpat", "ABC". Note that the frames in the same dither positions (A positions or B positions) of each "ABAB" or "ABBA" sequence are 2D coadded (without optimal weighting) before the background subtraction, while for the other dither patterns (e.g., "ABpat"), @@ -265,7 +265,7 @@ def get_comb_group(self, fitstbl): uniq_dithpats = np.unique(fitstbl[targ_idx]['dithpat']) # loop through the dither patterns for dpat in uniq_dithpats: - if dpat == 'NONE': + if dpat in ['NONE', 'none', 'MANUAL']: continue # where this dpat dpat_idx = targ_idx & (fitstbl['dithpat'] == dpat) @@ -283,7 +283,7 @@ def get_comb_group(self, fitstbl): # find the starting index of the ABAB sequence dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2") & (np.roll(dpos, -2) == "3") & (np.roll(dpos, -3) == "4"))[0] - for i in dpos: + for i in dpos_idx: # make sure that that dither offsets are correct if i < len(dpos) - 3 and doff[i] == doff[i+2] and doff[i+1] == doff[i+3]: bkgid[i] = combid[i+1] @@ -293,7 +293,7 @@ def get_comb_group(self, fitstbl): combid[i+3] = combid[i+1] bkgid[i+3] = bkgid[i+1] - elif dpat == "ABBA": + elif dpat in ["ABBA", "ABBAprime"]: # find the starting index of the ABBA sequence dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2") & (np.roll(dpos, -2) == "3") & (np.roll(dpos, -3) == "4"))[0] @@ -316,8 +316,45 @@ def get_comb_group(self, fitstbl): if i < len(dpos)-1: bkgid[i] = combid[i+1] bkgid[i+1] = combid[i] - #TODO - # elif dpat == "ABC": + + elif dpat == "ABC": + # find the starting index of the ABC sequence + dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2") & + (np.roll(dpos, -2) == "3"))[0] + for i in dpos_idx: + # exclude when np.roll counts the 1st element of dpos to be in a + # sequence with the last element + if i < len(dpos) - 2: + bkgid[i] = combid[i+1] + bkgid[i+1] = combid[i+2] + bkgid[i+2] = bkgid[i+1] + + # # assign bkgid for files that are part of an incomplete sequence + # # but have regular dither positions + # if np.all([d in ['1','2','3','4'] for d in dpos.value]): + # for i in range(len(fitstbl[dpat_idx])): + # # if A frame doesn't have bkgid assigned + # if bkgid[i] == -1 and \ + # (fitstbl[dpat_idx]['dithpos'][i] == "A" or fitstbl[dpat_idx]['dithpos'][i] == "A'"): + # # find closest (in mjd) B frame to subtract from this A + # if fitstbl[dpat_idx]['dithpos'][i] == "A": + # pos_idx = fitstbl[dpat_idx]['dithpos'] == "B" + # elif fitstbl[dpat_idx]['dithpos'][i] == "A'": + # pos_idx = fitstbl[dpat_idx]['dithpos'] == "B'" + # if np.any(pos_idx): + # close_idx = np.argmin(np.absolute(fitstbl[dpat_idx][pos_idx]['mjd'] - fitstbl[dpat_idx]['mjd'][i])) + # bkgid[i] = combid[pos_idx][close_idx] + # # if B frame doesn't have bkgid assigned + # if bkgid[i] == -1 and \ + # (fitstbl[dpat_idx]['dithpos'][i] == "B" or fitstbl[dpat_idx]['dithpos'][i] == "B'"): + # # find closest (in mjd) A frame to subtract from this B + # if fitstbl[dpat_idx]['dithpos'][i] == "B": + # pos_idx = np.where(fitstbl[dpat_idx]['dithpos'] == "A")[0] + # elif fitstbl[dpat_idx]['dithpos'][i] == "B'": + # pos_idx = np.where(fitstbl[dpat_idx]['dithpos'] == "A'")[0] + # if np.any(pos_idx): + # close_idx = np.argmin(np.absolute(fitstbl[dpat_idx][pos_idx]['mjd'] - fitstbl[dpat_idx]['mjd'][i])) + # bkgid[i] = combid[pos_idx][close_idx] fitstbl['bkg_id'][dpat_idx] = bkgid fitstbl['comb_id'][dpat_idx] = combid From 61cd1c62e8169fc43825d047b5f6c7fdfc163692 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 23 Mar 2023 10:38:01 -0700 Subject: [PATCH 085/308] dealing with scripts --- CHANGES.rst | 4 + pypeit/calibframe.py | 12 +- pypeit/core/gui/skysub_regions.py | 5 +- pypeit/images/buildimage.py | 25 ++ pypeit/par/pypeitpar.py | 13 +- pypeit/pypeit.py | 101 ++------ pypeit/scripts/setup.py | 10 +- pypeit/scripts/skysub_regions.py | 34 +-- pypeit/scripts/utils.py | 401 +++++++++++++++++++----------- setup.cfg | 2 +- 10 files changed, 337 insertions(+), 270 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 3f435d34cc..60fc7244b6 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -14,6 +14,10 @@ - Removed use of the term "master", renamed to calibration frames/files. - Calibration frame naming now done via ``calibframe.CalibFrame`` class. - Start to deprecate use of ``os.path`` in favor of ``pathlib`` +- Deprecated ``pypeit_parse_calib_id`` script, but improved the ``.calib`` file + provided by ``pypeit_setup``. The ``.calib`` file is now always written, and + provides a direct association between input raw files and output calibration + files. Discussed in new docs. 1.12.1 (21 Feb 2023) -------------------- diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index c5d48eeae1..2c876ae936 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -118,11 +118,18 @@ def set_paths(self, odir, setup, calib_id, detname): # NOTE: Only need to overload to_file because the only thing special about # CalibFrame is that the paths are pre-defined. # TODO: Allow the file path to be passed directly to this function? - def to_file(self, **kwargs): + def to_file(self, file_path=None, **kwargs): """ Overrides the base-class function, forcing the naming convention. Args: + file_path (:obj:`str`, `Path`_, optional): + Full path for the file to be written. This should be used + *very* rarely. The whole point of the :class:`CalibFrame` is to + follow a known/rigid I/O naming structure, and use of this + option circumvents that. You should instead typically use + :func:`set_paths` so that the file path is defined + automatically. **kwargs (optional): Passed directly to :func:`~pypeit.datamodel.DataContainer.to_file`. One of the @@ -140,7 +147,8 @@ def to_file(self, **kwargs): # TODO: This used to set overwrite=True, but overwrite should be part of # kwargs. The default of DataContainer is overwrite=False, so I need to # make sure that the behavior is maintained. - super().to_file(self.get_path(), hdr=hdr, **kwargs) + _file_path = self.get_path() if file_path is None else str(Path(file_path).resolve()) + super().to_file(_file_path, hdr=hdr, **kwargs) @classmethod def from_hdu(cls, hdu, chk_version=True, **kwargs): diff --git a/pypeit/core/gui/skysub_regions.py b/pypeit/core/gui/skysub_regions.py index 4dd3dea21c..940de373c0 100644 --- a/pypeit/core/gui/skysub_regions.py +++ b/pypeit/core/gui/skysub_regions.py @@ -232,7 +232,7 @@ def print_help(self): print("mouse button to click and drag over the sky background region.") print("Use the right mouse button (click and drag) to delete a region.") print("If you click 'Continue (and save changes)' the sky background") - print("regions file will be saved to the Masters directory.") + print("regions file will be saved to the Calibrations directory.") print("") print("To assign regions to all slits simultaneously, click and drag") print("over the gray regions on the right toolbar. Alternatively,") @@ -582,8 +582,7 @@ def get_result(self): msgs.warn("File exists:\n{0:s}\nSaving regions to 'temp.fits'") self._overwrite = True msskyreg = buildimage.SkyRegions(image=inmask.astype(float), PYP_SPEC=self.spectrograph) - msskyreg.to_master_file(master_filename=outfil) - return + msskyreg.to_file(file_path=outfil) def recenter(self): xlim = self.axes['main'].get_xlim() diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 826fd89eac..63d5ae97f7 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -117,6 +117,31 @@ class SkyRegions(pypeitimage.PypeItCalibrationImage): calib_type = 'SkyRegions' calib_file_format = 'fits.gz' + @classmethod + def construct_file_name(cls, calib_key, calib_dir=None, basename=None): + """ + Override the base-class filename construction to optionally include a basename. + + Args: + calib_key (:obj:`str`): + String identifier of the calibration group. See + :func:`construct_calib_key`. + calib_dir (:obj:`str`, `Path`_, optional): + If provided, return the full path to the file given this + directory. + basename (:Obj:`str`, optional): + If provided include this in the output file name. + + Returns: + :obj:`str`: File path or file name + """ + filename = super().construct_file_name(calib_key, calib_dir=calib_dir) + return filename.replace(f'.{cls.calib_file_format}', f'_{basename}.{cls.calib_file_format}') + + filename.replace + + + # Convert frame type into an Image. These all should subclass from # PypeItCalibrationImage. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 29d9817c59..3e38816f0c 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3946,15 +3946,10 @@ def __init__(self, calib_dir=None, setup=None, bpm_usebias=None, biasframe=None, # *not* None (i.e., the ones that are defined) need to be set defaults['calib_dir'] = 'Calibrations' dtypes['calib_dir'] = str - descr['calib_dir'] = 'If provided, it should be the name of the folder to ' \ - 'write processed calibration files. This is not a full path name.' - -# # TODO: Is this ever used? This feels like an outdated parameter. -# # There is no "masters" parameter... -# dtypes['setup'] = str -# descr['setup'] = 'If masters=\'force\', this is the setup name to be used: e.g., ' \ -# 'C_02_aa . The detector number is ignored but the other information ' \ -# 'must match the calibration frames in the relevant folder.' + descr['calib_dir'] = 'The name of the directory for the processed calibration frames. ' + 'The host path for the directory is set by the redux_path (see ' + ':class:`ReduxPar`). Beware that success when changing the default ' + 'value is not well tested!' defaults['raise_chk_error'] = True dtypes['raise_chk_error'] = bool diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 45cb14afb4..ecc26f05b8 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -157,12 +157,6 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse=False, lognam self.pypeItFile.frametypes, self.pypeItFile.setup_name) - - # -------------------------------------------------------------- - # - Write .calib file (For QA naming amongst other things) - calib_file = pypeit_file.replace('.pypeit', '.calib') - self.fitstbl.write_calib(calib_file) - # Other Internals self.overwrite = overwrite @@ -179,21 +173,20 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse=False, lognam calibrations.check_for_calibs(self.par, self.fitstbl, raise_error=self.par['calibrations']['raise_chk_error']) + # -------------------------------------------------------------- + # - Write .calib file (For QA naming amongst other things) + calib_file = pypeit_file.replace('.pypeit', '.calib') + calibrations.Calibrations.association_summary(calib_file, self.fitstbl, self.spectrograph, + self.calibrations_path, overwrite=True) + # Report paths msgs.info('Setting reduction path to {0}'.format(self.par['rdx']['redux_path'])) msgs.info('Calibration frames saved to: {0}'.format(self.calibrations_path)) msgs.info('Science data output to: {0}'.format(self.science_path)) msgs.info('Quality assessment plots output to: {0}'.format(self.qa_path)) - # TODO: Is anything written to the qa dir or only to qa/PNGs? - # Should we have separate calibration and science QA - # directories? - # An html file wrapping them all too # Init - # TODO: I don't think this ever used - self.det = None - self.tstart = None self.basename = None self.sciI = None @@ -274,33 +267,20 @@ def get_std_outfile(self, standard_frames): msgs.error('Could not find standard file: {0}'.format(std_outfile)) return std_outfile - def calib_all(self, run=True): + def calib_all(self): """ - Create calibrations for all setups - This is only run in lieu of a full run or - as part of the pypeit_parse_calib_id script + Process all calibration frames. - This will not crash if not all of the standard set of files are not provided - - Args: - run (bool, optional): - If False, only print the calib names and do not actually run. - Only used with the ``pypeit_parse_calib_id`` script. - - Returns: - dict: A simple dict summarizing the calibration names + Provides an avenue to reduce a dataset without (or omitting) any + science/standard frames. """ - calib_dict = {} - - self.tstart = time.time() + self.tstart = time.perf_counter() # Frame indices frame_indx = np.arange(len(self.fitstbl)) - for i in range(self.fitstbl.n_calib_groups): - # 1-indexed calib number - calib_grp = str(i+1) + for calib_ID in fitstbl.calib_groups: # Find all the frames in this calibration group - in_grp = self.fitstbl.find_calib_group(i) + in_grp = self.fitstbl.find_calib_group(calib_ID) grp_frames = frame_indx[in_grp] # Find the detectors to reduce @@ -309,11 +289,9 @@ def calib_all(self, run=True): detectors = self.spectrograph.select_detectors(subset=subset) msgs.info(f'Detectors to work on: {detectors}') - calib_dict[calib_grp] = {} - # Loop on Detectors for self.det in detectors: - msgs.info("Working on detector {0}".format(self.det)) + msgs.info(f'Working on detector {self.det}') # Instantiate Calibrations class self.caliBrate = calibrations.Calibrations.get_instance( self.fitstbl, self.par['calibrations'], self.spectrograph, @@ -325,52 +303,15 @@ def calib_all(self, run=True): # These need to be separate to accomodate COADD2D self.caliBrate.set_config(grp_frames[0], self.det, self.par['calibrations']) - # Allow skipping the run (e.g. parse_calib_id.py script) - if run: - self.caliBrate.run_the_steps() - if not self.caliBrate.success: - msgs.warn(f'Calibrations for detector {self.det} were unsuccessful! The step ' - f'that failed was {self.caliBrate.failed_step}. Continuing by ' - f'skipping this detector.') - - key = self.fitstbl.master_key(grp_frames[0], det=self.det) - calib_dict[calib_grp][key] = {} - for step in self.caliBrate.steps: - if step in ['bpm', 'slits', 'wv_calib', 'tilts', 'flats']: - continue - elif step == 'tiltimg': # Annoying kludge - step = 'tilt' - # Prep - raw_files, self.caliBrate.master_key_dict[step] = self.caliBrate._prep_calibrations(step) - masterframe_name = masterframe.construct_file_name( - buildimage.frame_image_classes[step], - self.caliBrate.master_key_dict[step], - master_dir=self.caliBrate.master_dir) - - # Add to dict - if len(raw_files) > 0: - calib_dict[calib_grp][key][step] = {} - calib_dict[calib_grp][key][step]['master_key'] = self.caliBrate.master_key_dict[step] - calib_dict[calib_grp][key][step]['master_name'] = os.path.basename(masterframe_name) - calib_dict[calib_grp][key][step]['raw_files'] = [os.path.basename(ifile) for ifile in raw_files] - - # Print the results - print(json.dumps(calib_dict, sort_keys=True, indent=4)) - - # Write - msgs.info('Writing calib file') - # TODO: Why are we writing this in addition to the *.calib file (see the - # __init__ function)? I think this *.calib_ids file is actually less - # informative and likely wrong... - calib_file = self.pypeit_file.replace('.pypeit', '.calib_ids') - ltu.savejson(calib_file, calib_dict, overwrite=True, easy_to_read=True) + self.caliBrate.run_the_steps() + if not self.caliBrate.success: + msgs.warn(f'Calibrations for detector {self.det} were unsuccessful! The step ' + f'that failed was {self.caliBrate.failed_step}. Continuing to next ' + f'detector.') # Finish self.print_end_time() - # Return - return calib_dict - def reduce_all(self): """ Main driver of the entire reduction @@ -382,7 +323,7 @@ def reduce_all(self): # Validate the parameter set self.par.validate_keys(required=['rdx', 'calibrations', 'scienceframe', 'reduce', 'flexure']) - self.tstart = time.time() + self.tstart = time.perf_counter() # Find the standard frames is_standard = self.fitstbl.find_frames('standard') @@ -1070,7 +1011,7 @@ def print_end_time(self): Print the elapsed time """ # Capture the end time and print it to user - msgs.info(utils.get_time_string(time.time()-self.tstart)) + msgs.info(utils.get_time_string(time.perf_counter()-self.tstart)) # TODO: Move this to fitstbl? def show_science(self): diff --git a/pypeit/scripts/setup.py b/pypeit/scripts/setup.py index 8bdcc0338f..5a7580a287 100644 --- a/pypeit/scripts/setup.py +++ b/pypeit/scripts/setup.py @@ -106,11 +106,11 @@ def main(args): if not output_path.exists(): output_path.mkdir(parents=True) # Write the pypeit files. - pypeit_files = ps.fitstbl.write_pypeit( - output_path=output_path, cfg_lines=ps.user_cfg, - write_bkg_pairs=args.background, - write_manual=args.manual_extraction, - configs=[item.strip() for item in args.cfg_split.split(',')]) + configs = [item.strip() for item in args.cfg_split.split(',')] + pypeit_files = ps.fitstbl.write_pypeit(output_path=output_path, cfg_lines=ps.user_cfg, + write_bkg_pairs=args.background, + write_manual=args.manual_extraction, + configs=configs) # Write the calib file for each written pypeit file. setups = [Path(p).resolve().name.split('.')[0].split('_')[-1] for p in pypeit_files] diff --git a/pypeit/scripts/skysub_regions.py b/pypeit/scripts/skysub_regions.py index d70f100a0d..16db34077d 100644 --- a/pypeit/scripts/skysub_regions.py +++ b/pypeit/scripts/skysub_regions.py @@ -42,45 +42,37 @@ def main(args): from pypeit.core.gui.skysub_regions import SkySubGUI from pypeit.core import flexure from pypeit.scripts import utils - #from pypeit import masterframe from pypeit.images import buildimage # Set the verbosity, and create a logfile if verbosity == 2 msgs.set_logfile_and_verbosity('skysub_regions', args.verbosity) # Generate a utilities class - info = utils.Utilities(None, pypeit_file=args.file, det=args.det) + info = utils.Utilities(pypeit_file=args.file, det=args.det) # Interactively select a science frame sciIdx = info.select_science_frame(standard=args.standard) # Load the spectrograph and parset - info.load_spectrograph_parset(sciIdx) - - # Get the master key and directory - mdir, mkey = info.get_master_dirkey() + info.load_par(iFile=sciIdx) + info.load_metadata() # Load the image data - frame = info.load_frame(sciIdx) + frame = info.load_frame() # Load the slits information - slits = utils.get_slits(mkey, mdir) - spat_flexure = None - if args.flexure: - spat_flexure = flexure.spat_flexure_shift(frame, slits) + slits = info.get_slits() + spat_flexure = flexure.spat_flexure_shift(frame, slits) if args.flexure else None # Derive an appropriate output filename - file_base = info.get_basename(sciIdx) + file_base = info.get_basename() prefix = os.path.splitext(file_base) - if prefix[1] == ".gz": - outname = os.path.splitext(prefix[0])[0] - else: - outname = prefix[0] - ext = buildimage.SkyRegions.master_file_format - regfile = masterframe.construct_file_name(buildimage.SkyRegions, master_key=mkey, - master_dir=mdir) - regfile = regfile.replace(".{0:s}".format(ext), "_{0:s}.{1:s}".format(outname, ext)) - #outname = "{0:s}/MasterSkyRegions_{1:s}_{2:s}.fits.gz".format(mdir, mkey, outname) + outname = os.path.splitext(prefix[0])[0] if prefix[1] == ".gz" else prefix[0] + + info.load_calib_dir() + calib_key = info.get_calib_key(iFile=iFile) + regfile = buildimage.SkyRegions.construct_file_name(calib_key, calib_dir=info.calib_dir, + basename=outname) # Finally, initialise the GUI skyreg = SkySubGUI.initialize(args.det, frame, slits, info.spectrograph.pypeline, diff --git a/pypeit/scripts/utils.py b/pypeit/scripts/utils.py index 2dc4eeeb02..088bd8ffeb 100644 --- a/pypeit/scripts/utils.py +++ b/pypeit/scripts/utils.py @@ -18,199 +18,302 @@ from pypeit.core import procimg from pypeit import msgs from pypeit import slittrace -#from pypeit import masterframe from pypeit.pypeitsetup import PypeItSetup from pypeit.inputfiles import PypeItFile class Utilities: - """This class contains a series of convenience functions - that are used by many of the pypeit scripts. None of the - functions in this script should be used by the reduction - code. + """ + Class with convenience functions for pypeit scripts. + + None of the functions in this script should be used by the reduction code. + + Args: + pypeit_file (:obj:`str`, optional): + Name of the pypeit file to read + spectrograph (:obj:`str`, optional): + Name of the spectrograph to load. If None, no spectrograph class is + instantiated. + iFile (:obj:`int`, optional): + 0-indexed number of a selected frame in the pypeit file + det (:obj:`int`, :obj:`tuple`, optional): + The detector/mosaic to process. Attributes: pypeit_file (:obj:`str`): The name of the input .pypeit file used for reduction. - det (:obj:`int`): - Detector index + pypeitFile (:obj:`~pypeit.inputfiles.PypeItFile`): + Object containing the data read from the pypeit file + det (:obj:`int`, :obj:`tuple`): + Detector/Mosoic identifier iFile (:obj:`int`): - Index of the frame being displayed/loaded. - spectrograph - (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): - The spectrograph used to collect the data save to each file. - The class is used to provide the header keyword data to - include in the table and specify any validation checks. - par (:class:`pypeit.par.pypeitpar.PypeItPar`): - PypeIt parameters used to set the code behavior. If not - provided, the default parameters specific to the provided - spectrograph are used. - cfg_lines (:obj:`list`): - List of configuration lines - data_files (:obj:`list`): - List of data files to read - frametype (:obj:`list`): - List of frametypes for each file - usrdata (:obj:`astropy.table.Table`): - Table of user supplied info on data files - setups (:obj:`list`): - List of setup lines + 0-indexed number of a selected frame in the pypeit file + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): + The spectrograph used to collect the data. + par (:class:`~pypeit.par.pypeitpar.PypeItPar`): + PypeIt parameters used to set the code behavior. + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): + Object with the metadata pulled from all headers of all the files in + the pypeit file. + calib_dir (`Path`_): + Path where the processed calibration files are stored. """ - def __init__(self, spectrograph, pypeit_file=None, det=0): + def __init__(self, pypeit_file=None, spectrograph=None, iFile=None, det=0): + self.load_pypeit(pypeit_file) self.det = det - self.iFile = None # if a single frame is being used, set the index, otherwise None - if spectrograph is not None: - self.spectrograph = load_spectrograph(spectrograph) - else: - self.spectrograph = None + if spectrograph is None: + return + self.load_spectrograph(spectrograph) + if iFile is None: + return + self.load_par(iFile=iFile) + self.load_metadata() + + def _reinit(self): + """Reset all the attributes.""" + self.pypeit_file = None + self.pypeitFile = None + self.det = None + self.iFile = None + self.spectrograph = None self.par = None - self.pypeit_file = pypeit_file - if pypeit_file is not None: - self.load_pypeit() + self.fitstbl = None + self.calib_dir = None - def load_pypeit(self, pypeit_file=None): - # Load the pypeit file + def load_pypeit(self, pypeit_file): + """ + Read the pypeit file. + + Args: + pypeit_file (:obj:`str`): + Name of the file to read. If None, the object is reinitialized! + """ if pypeit_file is None: - pypeit_file = self.pypeit_file - msgs.info("Loading the PypeIt file: {}".format(pypeit_file)) - if self.pypeit_file is not None: - self.pypeItFile = PypeItFile.from_file(self.pypeit_file) - # This is a HACK for compatability, but this Class is not widely used - self.cfg_lines = self.pypeItFile.cfg_lines - self.data_files = self.pypeItFile.filenames - self.frametype = self.pypeItFile.frametypes - self.usrdata = self.pypeItFile.data - self.setups = self.pypeItFile.setup_name - - def check_index(self, iFile): - if self.iFile is None and iFile is None: - msgs.error("file index must be selected to get base name") - elif iFile is None: - iFile = self.iFile - return iFile + self._reinit() + return + self.pypeit_file = pypeit_file + msgs.info(f'Loading the PypeIt file: {self.pypeit_file}') + self.pypeItFile = PypeItFile.from_file(self.pypeit_file) - def get_basename(self, iFile=None): - idx = self.check_index(iFile) - # Grab the filename - fname = self.data_files[idx] - return os.path.basename(fname) - - def get_master_dirkey(self, iFile=None): - # Do some checks - if self.spectrograph is None or self.par is None: - msgs.error() - idx = self.check_index(iFile) - # Get the master dir - if self.par['calibrations']['master_dir'] == 'default': - mdir = os.path.join(self.par['rdx']['redux_path'], 'Masters') - else: - mdir = self.par['calibrations']['master_dir'] - - if not os.path.exists(mdir): - mdir_base = os.path.join(os.getcwd(), os.path.basename(mdir)) - msgs.warn('Master file dir: {0} does not exist. Using {1}'.format(mdir, mdir_base)) - mdir = mdir_base - # Get the base name - file_base = self.get_basename(iFile=iFile) - ftdict = dict({file_base: 'science'}) - fitstbl = PypeItMetaData(self.spectrograph, self.par, - files=[self.data_files[idx]], usrdata=Table(self.usrdata[idx]), strict=True) - fitstbl.finalize_usr_build(ftdict, self.setups[0]) - mkey = fitstbl.master_key(0, det=self.det) - # Return the result - return mdir, mkey + def load_spectrograph(self, spectrograph): + """ + Instantiate the spectrograph object. - def load_frame(self, iFile=None): - idx = self.check_index(iFile) - # Grab the filename - fname = self.data_files[idx] - detpar, rawimage, _, _, datasec, _ = self.spectrograph.get_rawimage(fname, self.det) - rawimage = procimg.trim_frame(rawimage, datasec < 1) - return self.spectrograph.orient_image(detpar, rawimage) + Args: + spectrograph (:obj:`str`): + Name of the spectrograph to load. If None, will try to pull the + name of the spectrograph from the ingested pypeit file + configuration parameters. If that also fails, an error is + raised. + """ + if spectrograph is None: + try: + spectrograph = ConfigObj(self.pypeitFile.cfg_lines)['rdx']['spectrograph'] + except: + spectrograph = None + if spectrograph is None: + msgs.error('Spectrograph not provided and could not be loaded from pypeit file.') + self.spectrograph = load_spectrograph(spectrograph) + + def load_par(self, iFile=None): + """ + Load the pypeit parameters. - def load_spectrograph_parset(self, iFile=None): - # Do some checks - idx = self.check_index(iFile) - # Grab the filename - fname = self.data_files[idx] - # Setup the configuration - cfg = ConfigObj(self.cfg_lines) - # Load the spectrograph - spectrograph_name = cfg['rdx']['spectrograph'] - self.spectrograph = load_spectrograph(spectrograph_name) - msgs.info('Loaded spectrograph {0}'.format(self.spectrograph.name)) - spectrograph_cfg_lines = self.spectrograph.config_specific_par(fname).to_config() + Args: + iFile (:obj:`int`, optional): + 0-indexed number of a selected frame in the pypeit file. This + frame is used to set the configuration-specific parameters. If + None, the first file in the pypeit file is used. + """ + if self.pypeitFile is None or self.spectrograph is None: + msgs.error('Must first load pypeit file and spectrograph to get parameters') + self.iFile = iFile + if self.iFile is None: + msgs.warn('No example file selected. Configuration specific parameters will use ' + 'first file listed in the pypeit file.') + self.iFile = 0 + spectrograph_cfg_lines = self.spectrograph.config_specific_par( + self.pypeitFile.filenames[self.iFile]).to_config() # Load the parset self.par = PypeItPar.from_cfg_lines(cfg_lines=spectrograph_cfg_lines, - merge_with=(self.cfg_lines,)) - return + merge_with=(self.pypeitFile.cfg_lines,)) + + def load_metadata(self): + """ + Use the ingested pypeit file data to build the metadata + (:attr:`fitstbl`). + """ + if self.spectrograph is None or self.par is None or self.pypeitFile is None: + msgs.error('To get metadata, must set spectrograph, par, and read pypeit file.') + msgs.info('Compiling metadata') + self.fitstbl = PypeItMetaData(self.spectrograph, self.par, files=self.pypeItFile.filenames, + usrdata=self.pypeItFile.data, strict=True) + self.fitstbl.finalize_usr_build(self.pypeItFile.frametypes, self.pypeItFile.setup_name) + + def load_calib_dir(self): + """ + Load the directory for/with the processed calibration frames + (:attr:`calib_dir`). + """ + if self.par is None: + msgs.error('Must first get the pypeit parameters.') + self.calib_dir = Path(self.par['rdx']['redux_path']).resolve() \ + / self.par['calibrations']['calib_dir'] + + if not self.calib_dir.exists(): + calib_dir_base = Path().resolve() / self.calib_dir.name + msgs.warn(f'Calibration directory set by parameters does not exist: {self.calib_dir}. ' + f'Trying {calib_dir_base}') + if not calib_dir_base.exists(): + msgs.error(f'{calib_dir_base} also does not exist. Cannot set valid calibration ' + 'directory.') + self.calib_dir = calib_dir_base + + def set_index(self, iFile): + """ + Set the index of the example file from the pypeit file (:attr:`iFile`). - def run_setup(self, root, extension=None, **kwargs): + Args: + iFile (:obj:`int`): + The index of the file in the pypeit file. If None, use + :attr:`iFile`. If that is also None, an error is raised. An + error is also raised if the file index is less than 0 or more + than the number of files in the pypeit file. + """ + if iFile is None: + iFile = self.iFile + if iFile is None: + msgs.error('Must select file index') + nfiles = len(self.pypeitFile.filenames) + if iFile < 0 or iFile >= nfiles: + msgs.error('Selected file index not within range of ingested pypeit file: ' + f'{self.pypeit_file} contains {nfiles} files.') + self.iFile = iFile + + def get_basename(self, iFile=None): """ - Generate a PypeItSetup instance and run it + Get the name of the file at the specified index in the pypeit file. + + Only the file name is returned, not its full path. Args: - root (str): - extension (str, optional): - **kwargs: - Passed to ps.run() + iFile (:obj:`int`): + The index of the file in the pypeit file; see :func:`set_index`. Returns: - tuple: PypeItSetup, setups, indx - + :obj:`str`: The name of the file. """ - # Initialize PypeItSetup based on the arguments - ps = PypeItSetup.from_file_root(root, self.spectrograph.name, - extension=extension) + if self.pypeitFile is None: + msgs.error('Must first load pypeit file') + self.set_index(iFile) + return Path(self.pypeitFile.filenames[self.iFile]).revolve().name - # Run the setup - ps.run(setup_only=True, **kwargs) # , write_bkg_pairs=args.background) + def load_frame(self, iFile=None): + """ + Load, trim, and re-orient the specified file. - # Unique configurations - setups, indx = ps.fitstbl.get_configuration_names(return_index=True) + Args: + iFile (:obj:`int`): + The index of the file in the pypeit file; see :func:`set_index`. - # Return - return ps, setups, indx + Returns: + `numpy.ndarray`_: The image data. + """ + if self.pypeitFile is None or self.spectrograph is None: + msgs.error('Must first load pypeit file and spectrograph') + if self.det is None: + msgs.error('Must provide detector number(s).') + self.set_index(iFile) + detpar, rawimage, _, _, datasec, _ \ + = self.spectrograph.get_rawimage(self.pypeitFile.filenames[self.iFile], self.det) + rawimage = procimg.trim_frame(rawimage, datasec < 1) + return self.spectrograph.orient_image(detpar, rawimage) def select_science_frame(self, use_first=False, standard=False): - """Find all of the indices that correspond to science frames """ + Find all of the indices that correspond to science frames. + """ + if self.pypeitFile is None: + msgs.error('Must first load pypeit file') sciidx = np.array([], dtype=int) cntr = 0 print("\nList of science frames:") - for tt in range(len(self.usrdata)): - ftype = self.usrdata['frametype'][tt].split(",") + for tt in range(len(self.pypeitFile.data)): + ftype = self.pypeitFile.data['frametype'][tt].split(",") for ff in range(len(ftype)): if ftype[ff] == "science" or (standard and ftype[ff] == "standard"): sciidx = np.append(sciidx, tt) - print(" ({0:d}) {1:s} ({2:s} frame)".format(cntr+1, self.usrdata['filename'][tt], ftype[ff])) + print(" ({0:d}) {1:s} ({2:s} frame)".format(cntr+1, + self.pypeitFile.data['filename'][tt], ftype[ff])) cntr += 1 break # Determine which science frame the user wants if cntr == 1: msgs.info("Only one frame listed in .pypeit file - using that frame") - idx = sciidx[0] - elif use_first: - idx = sciidx[0] - else: - ans = '' - while True: - ans = input(" Which frame would you like to select [1-{0:d}]: ".format(cntr)) - try: - ans = int(ans) - if 1 <= ans <= cntr: - idx = sciidx[ans-1] - break - except ValueError: - pass + return sciidx[0] + if use_first: + return sciidx[0] + + # Interactively select the frame to use + ans = '' + while True: + ans = input(f' Which frame would you like to select [1-{cntr}]: ') + try: + ans = int(ans) + if 1 <= ans <= cntr: + return sciidx[ans-1] + except ValueError: msgs.info("That is not a valid option!") - # Set the selected filename - self.iFile = idx - return idx + def get_calib_key(self, iFile=None): + """ + Get the calibration key for a given file. + + Args: + iFile (:obj:`int`, optional): + Index of the file in the ingested pypeit file. If None, use + :attr:`iFile`. + + Returns: + :obj:`str`: Calibration key. + """ + if self.fitstbl is None: + msgs.error('Must first be able to create PypeItMetaData object. Make sure you have ' + 'provided the pypeit file and spectrograph.') + if self.det is None: + msgs.error('Must provide detector number(s) to find slit calibration frame file.') + self.set_index(iFile) + setup = self.fitstbl['setup'][self.iFile] + calib_id = CalibFrame.ingest_calib_id(self.fitstbl['calib'][self.iFile]) + detname = self.spectrograph.get_det_name(self.det) + return CalibFrame.construct_calib_key(setup, calib_id, detname) + + def get_slits(self, iFile=None): + """ + Find the slits calibration frame associated with a given file. + + Args: + iFile (:obj:`int`, optional): + Index of the file in the ingested pypeit file. If None, use + :attr:`iFile`. + + Returns: + :class:`~pypeit.slittrace.SlitTraceSet`: The object containing the + slit information. + """ + if self.fitstbl is None: + msgs.error('Must first be able to create PypeItMetaData object. Make sure you have ' + 'provided the pypeit file and spectrograph.') + if self.det is None: + msgs.error('Must provide detector number(s) to find slit calibration frame file.') + if self.calib_dir is None: + self.load_calib_dir() + calib_key = self.get_calib_key(iFile=iFile) + + # Construct the expected calibration frame file name + slits_file = Path(slittrace.SlitTraceSet.construct_file_name(calib_key, + calib_dir=self.calib_dir)).resolve() + if not slits_file.exists(): + msgs.error(f'Slit calibration frame does not exist: {slits_file}') + return slittrace.SlitTraceSet.from_file(slits_file) -def get_slits(mkey, mdir): - slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, - master_key=mkey, - master_dir=mdir) - return slittrace.SlitTraceSet.from_file(slit_masterframe_name) diff --git a/setup.cfg b/setup.cfg index 61b3e23944..ea7f6d734f 100644 --- a/setup.cfg +++ b/setup.cfg @@ -112,7 +112,7 @@ console_scripts = pypeit_lowrdx_skyspec = pypeit.scripts.lowrdx_skyspec:LowRDXSkySpec.entry_point pypeit_multislit_flexure = pypeit.scripts.multislit_flexure:MultiSlitFlexure.entry_point pypeit_obslog = pypeit.scripts.obslog:ObsLog.entry_point - pypeit_parse_calib_id = pypeit.scripts.parse_calib_id:ParseCalibID.entry_point + #pypeit_parse_calib_id = pypeit.scripts.parse_calib_id:ParseCalibID.entry_point pypeit_parse_slits = pypeit.scripts.parse_slits:ParseSlits.entry_point pypeit_qa_html = pypeit.scripts.qa_html:QAHtml.entry_point pypeit_ql = pypeit.scripts.ql:QL.entry_point From 1e0f9c450428389675170b3b9ffd281a4c5aead0 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 23 Mar 2023 10:46:35 -0700 Subject: [PATCH 086/308] deprecate parse calib script --- pypeit/{scripts => deprecated}/parse_calib_id.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename pypeit/{scripts => deprecated}/parse_calib_id.py (100%) diff --git a/pypeit/scripts/parse_calib_id.py b/pypeit/deprecated/parse_calib_id.py similarity index 100% rename from pypeit/scripts/parse_calib_id.py rename to pypeit/deprecated/parse_calib_id.py From f40336e8b15b209988770fd8693da7fa6feb1a6f Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Wed, 22 Mar 2023 21:36:58 -0700 Subject: [PATCH 087/308] Update internal data paths to use `pathlib` Shift from `os.path.join()` usage to `pathlib` for all internal data file locations. This allows for all of the functionality of `pathlib` objects and allows the discontinuance of `import os` in most cases. Enforce `python>=3.9` in `setup.cfg` and `environment.yml`, which allows the simplification of the `data.Paths` class to use the dual decorators of `@classmethod` and `@property` without having to resort to a metaclass structure. Various modernization of code happened upon in the process of making the above changes, along with cleaning up various `pytest` warnings. modified: environment.yml modified: pypeit/core/convert_DEIMOSsavfiles.py modified: pypeit/core/extract.py modified: pypeit/core/findobj_skymask.py modified: pypeit/core/flat.py modified: pypeit/core/flexure.py modified: pypeit/core/flux_calib.py modified: pypeit/core/procimg.py modified: pypeit/core/skysub.py modified: pypeit/core/telluric.py modified: pypeit/core/wavecal/autoid.py modified: pypeit/core/wavecal/patterns.py modified: pypeit/core/wavecal/templates.py modified: pypeit/core/wavecal/waveio.py modified: pypeit/data/arc_lines/convert_NIST_to_lists.py modified: pypeit/data/utils.py modified: pypeit/scripts/ql_multislit.py modified: pypeit/spectrographs/keck_deimos.py modified: pypeit/spectrographs/keck_hires.py modified: pypeit/spectrographs/keck_lris.py modified: pypeit/spectrographs/vlt_xshooter.py modified: pypeit/tests/test_flexure.py modified: pypeit/tests/test_pkgdata.py modified: pypeit/tests/test_runpypeit.py modified: pypeit/tests/tstutils.py modified: pypeit/utils.py modified: setup.cfg --- environment.yml | 4 +- pypeit/core/convert_DEIMOSsavfiles.py | 12 +- pypeit/core/extract.py | 33 ++- pypeit/core/findobj_skymask.py | 38 +-- pypeit/core/flat.py | 9 +- pypeit/core/flexure.py | 12 +- pypeit/core/flux_calib.py | 40 ++- pypeit/core/procimg.py | 40 +-- pypeit/core/skysub.py | 14 +- pypeit/core/telluric.py | 15 +- pypeit/core/wavecal/autoid.py | 42 +-- pypeit/core/wavecal/patterns.py | 4 +- pypeit/core/wavecal/templates.py | 76 +++--- pypeit/core/wavecal/waveio.py | 17 +- .../data/arc_lines/convert_NIST_to_lists.py | 41 ++- pypeit/data/utils.py | 252 +++++++++--------- pypeit/scripts/ql_multislit.py | 45 ++-- pypeit/spectrographs/keck_deimos.py | 6 +- pypeit/spectrographs/keck_hires.py | 2 - pypeit/spectrographs/keck_lris.py | 11 +- pypeit/spectrographs/vlt_xshooter.py | 4 +- pypeit/tests/test_flexure.py | 9 +- pypeit/tests/test_pkgdata.py | 13 +- pypeit/tests/test_runpypeit.py | 10 +- pypeit/tests/tstutils.py | 19 +- pypeit/utils.py | 32 +-- setup.cfg | 8 +- 27 files changed, 407 insertions(+), 401 deletions(-) diff --git a/environment.yml b/environment.yml index a09146f777..5132d596c6 100644 --- a/environment.yml +++ b/environment.yml @@ -3,13 +3,13 @@ channels: - conda-forge - defaults dependencies: - - python>=3.8,<3.10 + - python>=3.9,<3.11 - pyyaml>=5.4 - requests>=2.26 - packaging>=21.0 - numpy>=1.21 - scipy>=1.7 - - scikit-learn>=0.24 + - scikit-learn>=1.0 - astropy>=4.3 - setuptools>=46.4 - matplotlib>=3.4 diff --git a/pypeit/core/convert_DEIMOSsavfiles.py b/pypeit/core/convert_DEIMOSsavfiles.py index eb599a5845..0f91e56538 100644 --- a/pypeit/core/convert_DEIMOSsavfiles.py +++ b/pypeit/core/convert_DEIMOSsavfiles.py @@ -1,6 +1,6 @@ from scipy.io import readsav import numpy as np -import os.path +import pathlib from pypeit import io from pypeit import data @@ -22,7 +22,7 @@ def sav_to_fits(savfile): """ - savfile_name = os.path.splitext(os.path.basename(savfile))[0] + savfile_name = pathlib.Path(savfile).stem sav = readsav(savfile, python_dict=True) list_keys = list(sav.keys()) @@ -30,8 +30,10 @@ def sav_to_fits(savfile): if type(sav[k]) is not np.ndarray: sav[k] = np.asarray([sav[k]]) - io.write_to_fits(sav, os.path.join(data.Paths.static_calibs, 'keck_deimos', - f'{savfile_name}.fits'), - overwrite=True) + io.write_to_fits( + sav, + data.Paths.static_calibs.joinpath('keck_deimos', f'{savfile_name}.fits'), + overwrite=True + ) return diff --git a/pypeit/core/extract.py b/pypeit/core/extract.py index aaca756bf5..6a7e8591c4 100644 --- a/pypeit/core/extract.py +++ b/pypeit/core/extract.py @@ -4,29 +4,22 @@ .. include:: ../include/links.rst """ -import copy +import astropy.stats +import matplotlib.pyplot as plt import numpy as np -import scipy -from matplotlib import pyplot as plt +import scipy.interpolate +import scipy.ndimage +import scipy.special from IPython import embed -from astropy import stats - from pypeit import msgs from pypeit import utils -from pypeit import specobj -from pypeit import specobjs -from pypeit import tracepca from pypeit import bspline -from pypeit.display import display from pypeit.core import pydl -from pypeit.core import pixels -from pypeit.core import arc from pypeit.core import fitting from pypeit.core import procimg -from pypeit.core.trace import fit_trace from pypeit.core.moment import moment1d @@ -769,8 +762,8 @@ def fit_profile(image, ivar, waveimg, thismask, spat_img, trace_in, wave, sn2_img = np.zeros((nspec,nspat)) spline_img = np.zeros((nspec,nspat)) - flux_sm = scipy.ndimage.filters.median_filter(flux, size=5, mode = 'reflect') - fluxivar_sm0 = scipy.ndimage.filters.median_filter(fluxivar, size = 5, mode = 'reflect') + flux_sm = scipy.ndimage.median_filter(flux, size=5, mode = 'reflect') + fluxivar_sm0 = scipy.ndimage.median_filter(fluxivar, size = 5, mode = 'reflect') fluxivar_sm0 = fluxivar_sm0*(fluxivar > 0.0) wave_min = waveimg[thismask].min() wave_max = waveimg[thismask].max() @@ -816,7 +809,9 @@ def fit_profile(image, ivar, waveimg, thismask, spat_img, trace_in, wave, ## Select the top 30% data for estimating the med_sn2. This ensures the code still fit line only object and/or ## high redshift quasars which might only have signal in part of the spectrum. sn2_percentile = np.percentile(sn2,percentile_sn2) - mean, med_sn2, stddev = stats.sigma_clipped_stats(sn2[sn2>sn2_percentile],sigma_lower=3.0,sigma_upper=5.0) + mean, med_sn2, stddev = astropy.stats.sigma_clipped_stats( + sn2[sn2>sn2_percentile],sigma_lower=3.0,sigma_upper=5.0 + ) else: med_sn2 = 0.0 @@ -840,9 +835,11 @@ def fit_profile(image, ivar, waveimg, thismask, spat_img, trace_in, wave, cmask2 = np.zeros(nspec,dtype='bool') cmask2[indsp] = cmask cont_flux1 = pydl.djs_maskinterp(cont_flux1,(cmask2 == False)) - (_, _, sigma1) = stats.sigma_clipped_stats(flux[indsp],sigma_lower=3.0,sigma_upper=5.0) + (_, _, sigma1) = astropy.stats.sigma_clipped_stats( + flux[indsp],sigma_lower=3.0,sigma_upper=5.0 + ) - sn2_med_filt = scipy.ndimage.filters.median_filter(sn2, size=9, mode='reflect') + sn2_med_filt = scipy.ndimage.median_filter(sn2, size=9, mode='reflect') if np.any(totmask): sn2_interp = scipy.interpolate.interp1d(wave[indsp][isrt],sn2_med_filt[isrt],assume_sorted=False, bounds_error=False,fill_value = 'extrapolate') @@ -871,7 +868,7 @@ def fit_profile(image, ivar, waveimg, thismask, spat_img, trace_in, wave, if((nbad2 > 0) or (ngood0 > 0)): spline_flux1[indbad2] = np.median(spline_flux1[np.invert(badpix)]) # take a 5-pixel median to filter out some hot pixels - spline_flux1 = scipy.ndimage.filters.median_filter(spline_flux1,size=5,mode ='reflect') + spline_flux1 = scipy.ndimage.median_filter(spline_flux1,size=5,mode ='reflect') # Create the normalized object image if np.any(totmask): diff --git a/pypeit/core/findobj_skymask.py b/pypeit/core/findobj_skymask.py index 713f89e3f7..00b9d3ca78 100644 --- a/pypeit/core/findobj_skymask.py +++ b/pypeit/core/findobj_skymask.py @@ -6,10 +6,11 @@ import copy import numpy as np -import scipy -from matplotlib import pyplot as plt +import scipy.interpolate +import scipy.ndimage +import matplotlib.pyplot as plt -from astropy import stats +import astropy.stats from pypeit import msgs from pypeit import utils @@ -762,8 +763,10 @@ def ech_cutobj_on_snr( flux_box[:,iord,iobj] = flux_tmp*mask_tmp ivar_box[:,iord,iobj] = np.fmax(ivar_tmp*mask_tmp,0.0) mask_box[:,iord,iobj] = mask_tmp - mean, med_sn, stddev = stats.sigma_clipped_stats(flux_box[mask_tmp,iord,iobj]*np.sqrt(ivar_box[mask_tmp,iord,iobj]), - sigma_lower=5.0,sigma_upper=5.0) + mean, med_sn, stddev = astropy.stats.sigma_clipped_stats( + flux_box[mask_tmp,iord,iobj]*np.sqrt(ivar_box[mask_tmp,iord,iobj]), + sigma_lower=5.0,sigma_upper=5.0 + ) # ToDO assign this to sobjs_align for use in the extraction SNR_arr[iord,iobj] = med_sn sobjs_align[indx][0].ech_snr = med_sn @@ -922,7 +925,7 @@ def ech_pca_traces( for iobj in range(nobj_trim): indx_obj_id = sobjs_final.ECH_OBJID == (iobj + 1) # PCA predict all the orders now (where we have used the standard or slit boundary for the bad orders above) - msgs.info('Fitting echelle object finding PCA for object {:d}\{:d} with median SNR = {:5.3f}'.format( + msgs.info('Fitting echelle object finding PCA for object {:d}/{:d} with median SNR = {:5.3f}'.format( iobj + 1,nobj_trim,np.median(sobjs_final[indx_obj_id].ech_snr))) pca_fits[:,:,iobj] \ = tracepca.pca_trace_object( @@ -1819,8 +1822,10 @@ def orig_ech_objfind(image, ivar, slitmask, slit_left, slit_righ, order_vec, mas flux_box[:,iord,iobj] = flux_tmp*mask_tmp ivar_box[:,iord,iobj] = np.fmax(ivar_tmp*mask_tmp,0.0) mask_box[:,iord,iobj] = mask_tmp - mean, med_sn, stddev = stats.sigma_clipped_stats(flux_box[mask_tmp,iord,iobj]*np.sqrt(ivar_box[mask_tmp,iord,iobj]), - sigma_lower=5.0,sigma_upper=5.0) + mean, med_sn, stddev = astropy.stats.sigma_clipped_stats( + flux_box[mask_tmp,iord,iobj]*np.sqrt(ivar_box[mask_tmp,iord,iobj]), + sigma_lower=5.0,sigma_upper=5.0 + ) # ToDO assign this to sobjs_align for use in the extraction SNR_arr[iord,iobj] = med_sn sobjs_align[indx][0].ech_snr = med_sn @@ -1893,7 +1898,7 @@ def orig_ech_objfind(image, ivar, slitmask, slit_left, slit_righ, order_vec, mas for iobj in range(nobj_trim): indx_obj_id = sobjs_final.ECH_OBJID == (iobj + 1) # PCA predict all the orders now (where we have used the standard or slit boundary for the bad orders above) - msgs.info('Fitting echelle object finding PCA for object {:d}\{:d} with median SNR = {:5.3f}'.format( + msgs.info('Fitting echelle object finding PCA for object {:d}/{:d} with median SNR = {:5.3f}'.format( iobj + 1,nobj_trim,np.median(sobjs_final[indx_obj_id].ech_snr))) pca_fits[:,:,iobj] \ = tracepca.pca_trace_object(sobjs_final[indx_obj_id].TRACE_SPAT.T, @@ -2386,8 +2391,9 @@ def objs_in_slit(image, ivar, thismask, slit_left, slit_righ, find_min_max_gpm[find_min_max_out[0]: find_min_max_out[1], :] = True data = np.ma.MaskedArray( image_rect, mask=np.logical_not(gpm_rect & find_min_max_gpm)) # the total gpm = gpm_rect & find_min_max_gpm - sigclip = stats.SigmaClip(sigma=sigclip_smash, maxiters=25, cenfunc='median', - stdfunc=utils.nan_mad_std) + sigclip = astropy.stats.SigmaClip( + sigma=sigclip_smash, maxiters=25, cenfunc='median', stdfunc=utils.nan_mad_std + ) data_clipped, lower, upper = sigclip(data, axis=0, masked=True, return_bounds=True) gpm_sigclip = np.logical_not(data_clipped.mask) @@ -2398,9 +2404,9 @@ def objs_in_slit(image, ivar, thismask, slit_left, slit_righ, gpm_smash = npix_smash > 0.3*nsmash flux_sum_smash = np.sum((image_rect*gpm_sigclip)[find_min_max_out[0]:find_min_max_out[1]], axis=0) flux_smash = flux_sum_smash*gpm_smash/(npix_smash + (npix_smash == 0.0)) - flux_smash_mean, flux_smash_med, flux_smash_std = stats.sigma_clipped_stats(flux_smash, - mask=np.logical_not(gpm_smash), - sigma_lower=3.0, sigma_upper=3.0) + flux_smash_mean, flux_smash_med, flux_smash_std = astropy.stats.sigma_clipped_stats( + flux_smash, mask=np.logical_not(gpm_smash), sigma_lower=3.0, sigma_upper=3.0 + ) flux_smash_recen = flux_smash - flux_smash_med # Return if none found and no hand extraction @@ -2423,8 +2429,8 @@ def objs_in_slit(image, ivar, thismask, slit_left, slit_righ, # Smooth this SNR image with a Gaussian set by the input fwhm gauss_smth_sigma = (fwhm/2.3548) - snr_smash_smth = scipy.ndimage.filters.gaussian_filter1d(snr_smash, gauss_smth_sigma, mode='nearest') - flux_smash_smth = scipy.ndimage.filters.gaussian_filter1d(flux_smash_recen, gauss_smth_sigma, mode='nearest') + snr_smash_smth = scipy.ndimage.gaussian_filter1d(snr_smash, gauss_smth_sigma, mode='nearest') + flux_smash_smth = scipy.ndimage.gaussian_filter1d(flux_smash_recen, gauss_smth_sigma, mode='nearest') # Search for spatial direction peaks in the smoothed snr image _, _, x_peaks_out, x_width, x_err, igood, _, _ = arc.detect_lines( snr_smash_smth, input_thresh=snr_thresh, fit_frac_fwhm=1.5, fwhm=fwhm, min_pkdist_frac_fwhm=0.75, diff --git a/pypeit/core/flat.py b/pypeit/core/flat.py index d1a3100825..908dd810ee 100644 --- a/pypeit/core/flat.py +++ b/pypeit/core/flat.py @@ -9,8 +9,9 @@ import os import numpy as np -from scipy import interpolate, ndimage -from matplotlib import pyplot as plt +import scipy.interpolate +import scipy.ndimage +import matplotlib.pyplot as plt from IPython import embed @@ -133,7 +134,7 @@ def illum_filter(spat_flat_data_raw, med_width): # Gaussian filter the data with a kernel that is 1/20th of the # median-filter width (or at least 0.5 pixels where here a "pixel" # is just the index of the data to fit) - return ndimage.filters.gaussian_filter1d(spat_flat_data, np.fmax(med_width/20.0, 0.5), + return scipy.ndimage.gaussian_filter1d(spat_flat_data, np.fmax(med_width/20.0, 0.5), mode='nearest') @@ -250,7 +251,7 @@ def construct_illum_profile(norm_spec, spat_coo, slitwidth, spat_gpm=None, spat_ # at either end of the data array would cause the interpolation # below to fault, which is why I set bound_error to False. This # may be a problem though because I set the fill value to 0... - interp = interpolate.interp1d(spat_coo_data[spat_gpm_data_raw], spat_flat_data, + interp = scipy.interpolate.interp1d(spat_coo_data[spat_gpm_data_raw], spat_flat_data, bounds_error=False, fill_value=0.0, assume_sorted=True) resid = spat_flat_data_raw - interp(spat_coo_data) sigma = np.std(resid) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index 4ae133c061..ea644c9e50 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -4,10 +4,12 @@ .. include:: ../include/links.rst """ +import copy import inspect +import pathlib import numpy as np -import copy, os + from matplotlib import pyplot as plt from matplotlib import gridspec import matplotlib @@ -1295,7 +1297,7 @@ def __init__(self, s1dfile=None, PYP_SPEC=None, nslits=None, det=None, self.specobjs = specobjs.SpecObjs.from_fitsfile(self.s1dfile, chk_version=False) # Sky lines -- This one is ASCII, so don't use load_sky_spectrum() sky_file = 'sky_single_mg.dat' - self.sky_table = ascii.read(os.path.join(data.Paths.sky_spec, sky_file)) + self.sky_table = ascii.read(data.Paths.sky_spec.joinpath(sky_file)) def _init_internals(self): # Parameters (FlexurePar) @@ -1525,9 +1527,9 @@ def qa_plots(self, plot_dir:str, root:str): """ # Generate QA folder as need be - qa_dir = os.path.join(plot_dir, 'QA') - if not os.path.isdir(qa_dir): - os.mkdir(qa_dir) + qa_dir = pathlib.Path(plot_dir).joinpath('QA') + if not qa_dir.is_dir(): + qa_dir.mkdir() ''' # Slopes diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index eed330a9b3..cc1f58cb6f 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -4,8 +4,6 @@ .. include:: ../include/links.rst """ -import os -import glob from IPython import embed @@ -154,9 +152,9 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): closest = dict(sep=999 * units.deg) for sset in std_sets: - path = os.path.join(data.Paths.standards, sset) - star_file = os.path.join(path, f"{sset}_info.txt") - if not os.path.isfile(star_file): + stds_path = data.Paths.standards.joinpath(sset) + star_file = stds_path.joinpath(f"{sset}_info.txt") + if not star_file.is_file(): msgs.warn(f"File does not exist!: {star_file}") continue @@ -172,7 +170,7 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): # Generate a dict _idx = int(idx) - std_dict = dict(cal_file=os.path.join(path, star_tbl[_idx]['File']), + std_dict = dict(cal_file=stds_path.joinpath(star_tbl[_idx]['File']), name=star_tbl[_idx]['Name'], # std_ra=star_tbl[_idx]['RA_2000'], # std_dec=star_tbl[_idx]['DEC_2000']) @@ -185,13 +183,13 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): fil = None else: # TODO: Does this need to be globbed? Why isn't the file - # name exact? - fil = glob.glob(std_dict['cal_file'] + '*') + # name exact? ANSWER: The glob is to catch both .fits and .fits.gz + fil = list(std_dict['cal_file'].parent.glob(f"{std_dict['cal_file'].name}*")) if len(fil) == 0: # TODO: Error or warn? - msgs.error("No standard star file: {:s}".format(std_dict['cal_file'])) + msgs.error(f"No standard star file: {std_dict['cal_file']}") fil = fil[0] - msgs.info("Loading standard star file: {:s}".format(fil)) + msgs.info(f"Loading standard star file: {fil}") # TODO: Put this stuff in a method, like `read_standard` if sset == 'xshooter': @@ -208,7 +206,7 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): std_dict['flux'] = std_spec['FLUX'] / PYPEIT_FLUX_SCALE \ * units.erg / units.s / units.cm ** 2 / units.AA elif sset == 'esofil': - fil_basename = os.path.basename(fil) + fil_basename = fil.name # Note: `fil` is a pathlib.Path object if not fil_basename.startswith('f'): msgs.error("The ESO reference standard filename must start with the string `f`; make sure it is the case. Also make sure that the flux units in the file are in 10**(-16) erg/s/cm2/AA.") # TODO let's add the star_mag here and get a uniform set of tags in the std_dict @@ -272,8 +270,8 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): if check: return False - msgs.error("No standard star was found within a tolerance of {:g}".format(toler) + msgs.newline() - + "Closest standard was {:s} at separation {:g}".format(closest['name'], closest['sep'].to('arcmin'))) + msgs.error(f"No standard star was found within a tolerance of {toler}{msgs.newline()}" + f"Closest standard was {closest['name']} at separation {closest['sep'].to('arcmin')}") return None @@ -305,7 +303,7 @@ def stellar_model(V, sptype): logg_sol = np.log10(6.67259e-8) + np.log10(1.989e33) - 2.0 * np.log10(6.96e10) # Load Schmidt-Kaler (1982) table - sk82_file = os.path.join(data.Paths.standards, 'kurucz93', 'schmidt-kaler_table.txt') + sk82_file = data.Paths.standards.joinpath('kurucz93', 'schmidt-kaler_table.txt') sk82_tab = ascii.read(sk82_file, names=('Sp', 'logTeff', 'Teff', '(B-V)_0', 'M_V', 'B.C.', 'M_bol', 'L/L_sol')) # TODO, currently this only works on select stellar types. Add ability to interpolate across types. @@ -350,7 +348,7 @@ def stellar_model(V, sptype): indg = np.argmin(np.abs(loggk - logg)) # Grab Kurucz filename - std_file = os.path.join(data.Paths.standards, 'kurucz93', 'kp00', f'kp00_{int(Tk[indT])}.fits.gz') + std_file = data.Paths.standards.joinpath('kurucz93', 'kp00', f'kp00_{int(Tk[indT])}.fits.gz') std = table.Table.read(std_file) # Grab specific spectrum @@ -409,7 +407,7 @@ def get_standard_spectrum(star_type=None, star_mag=None, ra=None, dec=None): if 'A0' in star_type: msgs.info('Getting vega spectrum') ## Vega model from TSPECTOOL - vega_file = os.path.join(data.Paths.standards, 'vega_tspectool_vacuum.dat') + vega_file = data.Paths.standards.joinpath('vega_tspectool_vacuum.dat') vega_data = table.Table.read(vega_file, comment='#', format='ascii') std_dict = dict(cal_file='vega_tspectool_vacuum', name=star_type, Vmag=star_mag, std_ra=ra, std_dec=dec) @@ -458,7 +456,7 @@ def load_extinction_data(longitude, latitude, extinctfilepar, # Observation coordinates obs_coord = coordinates.SkyCoord(longitude, latitude, frame='gcrs', unit=units.deg) # Read list - extinct_summ = os.path.join(data.Paths.extinction, 'README') + extinct_summ = data.Paths.extinction.joinpath('README') extinct_files = table.Table.read(extinct_summ, comment='#', format='ascii') # Coords ext_coord = coordinates.SkyCoord(extinct_files['Lon'], extinct_files['Lat'], frame='gcrs', @@ -1095,7 +1093,7 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, # These are physical limits on the allowed values of the zeropoint in magnitudes def Nlam_to_Flam(wave, zeropoint, zp_min=5.0, zp_max=30.0): - """ + r""" The factor that when multiplied into N_lam converts to F_lam, i.e. S_lam where S_lam \equiv F_lam/N_lam @@ -1122,7 +1120,7 @@ def Nlam_to_Flam(wave, zeropoint, zp_min=5.0, zp_max=30.0): return factor def Flam_to_Nlam(wave, zeropoint, zp_min=5.0, zp_max=30.0): - """ + r""" The factor that when multiplied into F_lam converts to N_lam, i.e. 1/S_lam where S_lam \equiv F_lam/N_lam @@ -1466,7 +1464,7 @@ def load_filter_file(filter): """ - filter_file = os.path.join(data.Paths.filters, 'filter_list.ascii') + filter_file = data.Paths.filters.joinpath('filter_list.ascii') tbl = table.Table.read(filter_file, format='ascii') allowed_options = tbl['filter'].data @@ -1475,7 +1473,7 @@ def load_filter_file(filter): if filter not in allowed_options: msgs.error("PypeIt is not ready for filter = {}".format(filter)) - trans_file = os.path.join(data.Paths.filters, 'filtercurves.fits') + trans_file = data.Paths.filters.joinpath('filtercurves.fits') trans = io.fits_open(trans_file) wave = trans[filter].data['lam'] # Angstroms instr = trans[filter].data['Rlam'] # Am keeping in atmospheric terms diff --git a/pypeit/core/procimg.py b/pypeit/core/procimg.py index b64cc55534..480898b126 100644 --- a/pypeit/core/procimg.py +++ b/pypeit/core/procimg.py @@ -6,8 +6,9 @@ from IPython import embed import numpy as np -from scipy import signal, ndimage -from scipy.optimize import curve_fit +import scipy.ndimage +import scipy.optimize +import scipy.signal from astropy.convolution import convolve, Box2DKernel from astropy.timeseries import LombScargle @@ -204,7 +205,7 @@ def lacosmic(sciframe, saturation=None, nonlinear=1., bpm=None, varframe=None, m if varframe is None: msgs.info("Updating the noise model") - m5 = ndimage.filters.median_filter(_sciframe, size=5, mode='mirror') + m5 = scipy.ndimage.median_filter(_sciframe, size=5, mode='mirror') noise = np.sqrt(np.absolute(m5)) # NOTE: Inverting the error avoids division by 0 errors _inv_err = utils.inverse(noise) @@ -219,7 +220,7 @@ def lacosmic(sciframe, saturation=None, nonlinear=1., bpm=None, varframe=None, m s = utils.rebin_evlist(np.clip(deriv, 0, None), _sciframe.shape) * _inv_err / 2.0 # Remove the large structures - sp = s - ndimage.filters.median_filter(s, size=5, mode='mirror') + sp = s - scipy.ndimage.median_filter(s, size=5, mode='mirror') # Candidate cosmic rays cosmics = sp > sigclip @@ -234,8 +235,8 @@ def lacosmic(sciframe, saturation=None, nonlinear=1., bpm=None, varframe=None, m if remove_compact_obj: # Build the fine structure image - m3 = ndimage.filters.median_filter(_sciframe, size=3, mode='mirror') - m37 = ndimage.filters.median_filter(m3, size=7, mode='mirror') + m3 = scipy.ndimage.median_filter(_sciframe, size=3, mode='mirror') + m37 = scipy.ndimage.median_filter(m3, size=7, mode='mirror') # TODO: How does clip treat NaNs? f = np.clip((m3 - m37) * _inv_err, 0.01, None) # Require cosmics to have significant contrast @@ -248,11 +249,11 @@ def lacosmic(sciframe, saturation=None, nonlinear=1., bpm=None, varframe=None, m msgs.info("Finding neighboring pixels affected by cosmic rays") # We grow these cosmics a first time to determine the immediate # neighborhod, keeping those that also meet the S/N requirement - cosmics = ndimage.binary_dilation(cosmics, structure=growkernel) + cosmics = scipy.ndimage.binary_dilation(cosmics, structure=growkernel) cosmics &= sp > sigclip # Now we repeat this procedure, but lower the detection limit to sigmalimlow : - cosmics = ndimage.binary_dilation(cosmics, structure=growkernel) + cosmics = scipy.ndimage.binary_dilation(cosmics, structure=growkernel) cosmics &= sp > sigcliplow ncr = np.sum(cosmics) msgs.info(f'Changed to {ncr} candidates after evaluating neighboring pixels.') @@ -283,15 +284,15 @@ def lacosmic(sciframe, saturation=None, nonlinear=1., bpm=None, varframe=None, m # Additional algorithms (not traditionally implemented by LA cosmic) to # remove some false positives. #msgs.work("The following algorithm would be better on the rectified, tilts-corrected image") - filt = ndimage.sobel(sciframe, axis=1, mode='constant') + filt = scipy.ndimage.sobel(sciframe, axis=1, mode='constant') _inv_mad = utils.inverse(np.sqrt(np.abs(sciframe))) # Avoid divisions by 0 - filty = ndimage.sobel(filt * _inv_mad, axis=0, mode='constant') + filty = scipy.ndimage.sobel(filt * _inv_mad, axis=0, mode='constant') # TODO: Can we skip this now that we're not dividing by 0? filty[np.isnan(filty)] = 0.0 sigimg = cr_screen(filty) - sigsmth = ndimage.filters.gaussian_filter(sigimg, 1.5) + sigsmth = scipy.ndimage.gaussian_filter(sigimg, 1.5) sigsmth[np.isnan(sigsmth)] = 0.0 crmask &= sigsmth > sigclip @@ -438,7 +439,7 @@ def grow_mask(mask, radius): size += 1 x, y = np.meshgrid(np.arange(size) - size//2, np.arange(size) - size//2) # Dilate the mask - return ndimage.binary_dilation(mask, structure=x**2 + y**2 <= radius**2) + return scipy.ndimage.binary_dilation(mask, structure=x**2 + y**2 <= radius**2) def gain_frame(amp_img, gain): @@ -675,7 +676,7 @@ def subtract_overscan(rawframe, datasec_img, oscansec_img, method='savgol', para c = np.polyfit(np.arange(osfit.size), osfit, params[0]) ossub = np.polyval(c, np.arange(osfit.size)) elif method.lower() == 'savgol': - ossub = signal.savgol_filter(osfit, params[1], params[0]) + ossub = scipy.signal.savgol_filter(osfit, params[1], params[0]) elif method.lower() == 'median': # Subtract scalar and continue no_overscan[data_slice] -= osfit @@ -827,9 +828,10 @@ def subtract_pattern(rawframe, datasec_img, oscansec_img, frequency=None, axis=1 wgd = norm != 0 try: # Now fit it - popt, pcov = curve_fit(cosfunc, cent[wgd], hist[wgd], p0=[amps[ii], 0.0], - bounds=([0, -np.inf], - [np.inf, np.inf])) + popt, pcov = scipy.optimize.curve_fit( + cosfunc, cent[wgd], hist[wgd], p0=[amps[ii], 0.0], + bounds=([0, -np.inf],[np.inf, np.inf]) + ) except ValueError: msgs.warn("Input data invalid for pattern subtraction of row {0:d}/{1:d}".format(ii + 1, overscan.shape[0])) continue @@ -856,8 +858,10 @@ def subtract_pattern(rawframe, datasec_img, oscansec_img, frequency=None, axis=1 wgd = norm != 0 try: # Now fit it - popt, pcov = curve_fit(cosfunc, cent[wgd], hist[wgd], p0=[0.0], - bounds=([-np.inf], [np.inf])) + popt, pcov = scipy.optimize.curve_fit( + cosfunc, cent[wgd], hist[wgd], p0=[0.0], + bounds=([-np.inf], [np.inf]) + ) except ValueError: msgs.warn("Input data invalid for pattern subtraction of row {0:d}/{1:d}".format(ii + 1, overscan.shape[0])) continue diff --git a/pypeit/core/skysub.py b/pypeit/core/skysub.py index cc093698f6..7262c693e5 100644 --- a/pypeit/core/skysub.py +++ b/pypeit/core/skysub.py @@ -5,10 +5,10 @@ """ import numpy as np -from scipy import ndimage -from scipy.special import ndtr +import scipy.ndimage +import scipy.special -from matplotlib import pyplot as plt +import matplotlib.pyplot as plt from IPython import embed @@ -342,7 +342,7 @@ def skyoptimal(piximg, data, ivar, oprof, sigrej=3.0, npoly=1, spatial_img=None, chi2 = (data[good] - yfit1) ** 2 * ivar[good] chi2_srt = np.sort(chi2) - gauss_prob = 1.0 - 2.0 * ndtr(-1.2 * sigrej) + gauss_prob = 1.0 - 2.0 * scipy.special.ndtr(-1.2 * sigrej) sigind = int(np.fmin(np.rint(gauss_prob * float(ngood)), ngood - 1)) chi2_sigrej = chi2_srt[sigind] mask1 = (chi2 < chi2_sigrej) @@ -454,11 +454,11 @@ def optimal_bkpts(bkpts_optimal, bsp_min, piximg, sampmask, samp_frac=0.80, dsamp_init = np.roll(samplmin, -1) - samplmax dsamp_init[nbkpt - 1] = dsamp_init[nbkpt - 2] kernel_size = int(np.fmax(np.ceil(dsamp_init.size*0.01)//2*2 + 1,15)) # This ensures kernel_size is odd - dsamp_med = ndimage.filters.median_filter(dsamp_init, size=kernel_size, mode='reflect') + dsamp_med = scipy.ndimage.median_filter(dsamp_init, size=kernel_size, mode='reflect') boxcar_size = int(np.fmax(np.ceil(dsamp_med.size*0.005)//2*2 + 1,5)) # Boxcar smooth median dsamp kernel = np.ones(boxcar_size)/ float(boxcar_size) - dsamp = ndimage.convolve(dsamp_med, kernel, mode='reflect') + dsamp = scipy.ndimage.convolve(dsamp_med, kernel, mode='reflect') # if more than samp_frac of the pixels have dsamp < bsp_min than just use a uniform breakpoint spacing if np.sum(dsamp <= bsp_min) > samp_frac*nbkpt: msgs.info('Sampling of wavelengths is nearly continuous.') @@ -749,7 +749,7 @@ def local_skysub_extract(sciimg, sciivar, tilts, waveimg, global_sky, thismask, chi2_sigrej = 6.0 #sigrej_ceil = 10.0 # We will use this number later - gauss_prob = 1.0 - 2.0 * ndtr(-sigrej) + gauss_prob = 1.0 - 2.0 * scipy.special.ndtr(-sigrej) # Create the images that will be returned modelivar = np.copy(sciivar) diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index 437b335fa3..1999fb21d4 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -3,14 +3,15 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ -import os -import sys from IPython import embed -import numpy as np -import scipy import matplotlib.pyplot as plt +import numpy as np +import scipy.interpolate +import scipy.optimize +import scipy.signal +import scipy.special from astropy import table from astropy.io import fits @@ -63,7 +64,7 @@ def init_pca(filename,wave_grid,redshift, npca): # and the Gaussian mixture model prior (mix_fit) # The PCA file location is provided by data.Paths.tel_model - file_with_path = os.path.join(data.Paths.tel_model, filename) + file_with_path = data.Paths.tel_model.joinpath(filename) loglam = np.log10(wave_grid) dloglam = np.median(loglam[1:] - loglam[:-1]) @@ -273,7 +274,7 @@ def conv_telluric(tell_model, dloglam, res): pix_per_sigma = 1.0/res/(dloglam*np.log(10.0))/(2.0 * np.sqrt(2.0 * np.log(2))) # number of dloglam pixels per 1 sigma dispersion sig2pix = 1.0/pix_per_sigma # number of sigma per 1 pix - #conv_model = scipy.ndimage.filters.gaussian_filter1d(tell_model, pix) + #conv_model = scipy.ndimage.gaussian_filter1d(tell_model, pix) # x = loglam/sigma on the wavelength grid from -4 to 4, symmetric, centered about zero. x = np.hstack([-1*np.flip(np.arange(sig2pix,4,sig2pix)),np.arange(0,4,sig2pix)]) # g = Gaussian evaluated at x, sig2pix multiplied in to properly normalize the convolution @@ -1794,7 +1795,7 @@ def poly_telluric(spec1dfile, telgridfile, telloutfile, outfile, z_obj=0.0, func class Telluric(datamodel.DataContainer): - """ + r""" Simultaneously fit model object and telluric spectra to an observed spectrum. diff --git a/pypeit/core/wavecal/autoid.py b/pypeit/core/wavecal/autoid.py index 5f4bb05bd6..8ccf6517a9 100644 --- a/pypeit/core/wavecal/autoid.py +++ b/pypeit/core/wavecal/autoid.py @@ -2,17 +2,20 @@ .. include:: ../include/links.rst """ -from scipy.ndimage.filters import gaussian_filter -from scipy.spatial import cKDTree -import itertools -import scipy -from linetools import utils as ltu -from astropy import table, stats import copy +import itertools + +import astropy.stats +import astropy.table import numpy as np +import scipy.interpolate +import scipy.ndimage +import scipy.spatial + +from linetools import utils as ltu + from IPython import embed -from astropy.table import Table from pypeit.par import pypeitpar from pypeit.core.wavecal import kdtree_generator @@ -20,7 +23,6 @@ from pypeit.core.wavecal import patterns from pypeit.core.wavecal import wv_fitting from pypeit.core.wavecal import wvutils -from pypeit.core.wavecal import echelle from pypeit.core import arc from pypeit.core import pca @@ -510,9 +512,9 @@ def reidentify(spec, spec_arxiv_in, wave_soln_arxiv_in, line_list, nreid_min, de # Compute a "local" zero lag correlation of the slit spectrum and the shifted and stretch arxiv spectrum over a # a nlocal_cc_odd long segment of spectrum. We will then uses spectral similarity as a further criteria to # decide which lines are good matches - prod_smooth = scipy.ndimage.filters.convolve1d(spec_cont_sub*spec_arxiv_ss, window) - spec2_smooth = scipy.ndimage.filters.convolve1d(spec_cont_sub**2, window) - arxiv2_smooth = scipy.ndimage.filters.convolve1d(spec_arxiv_ss**2, window) + prod_smooth = scipy.ndimage.convolve1d(spec_cont_sub*spec_arxiv_ss, window) + spec2_smooth = scipy.ndimage.convolve1d(spec_cont_sub**2, window) + arxiv2_smooth = scipy.ndimage.convolve1d(spec_arxiv_ss**2, window) denom = np.sqrt(spec2_smooth*arxiv2_smooth) corr_local = np.zeros_like(denom) corr_local[denom > 0] = prod_smooth[denom > 0]/denom[denom > 0] @@ -620,7 +622,9 @@ def measure_fwhm(spec, sigdetect=10., fwhm=5.): while nsig_thrshd >= sigdetect: if wdth[nsig >= nsig_thrshd].size > 6: # compute average `wdth` - mean, med, _ = stats.sigma_clipped_stats(wdth[nsig >= nsig_thrshd], sigma_lower=2.0, sigma_upper=2.0) + mean, med, _ = astropy.stats.sigma_clipped_stats( + wdth[nsig >= nsig_thrshd], sigma_lower=2.0, sigma_upper=2.0 + ) # FWHM in pixels measured_fwhm = med * (2 * np.sqrt(2 * np.log(2))) break @@ -953,7 +957,7 @@ def echelle_wvcalib(spec, orders, spec_arxiv, wave_arxiv, lamps, par, ok_mask=No line_lists = waveio.load_line_lists(lamps) unknwns = waveio.load_unknown_list(lamps) - tot_line_list = table.vstack([line_lists, unknwns]) if use_unknowns else line_lists + tot_line_list = astropy.table.vstack([line_lists, unknwns]) if use_unknowns else line_lists # Array to hold continuum subtracted arcs spec_cont_sub = np.zeros_like(spec) @@ -1211,7 +1215,7 @@ def __init__(self, spec, lamps, par, ech_fixed_format=False, ok_mask=None, meas self.line_lists = waveio.load_line_lists(self.lamps) self.unknwns = waveio.load_unknown_list(self.lamps) - self.tot_line_list = table.vstack([self.line_lists, self.unknwns]) if self.use_unknowns \ + self.tot_line_list = astropy.table.vstack([self.line_lists, self.unknwns]) if self.use_unknowns \ else self.line_lists # Read in the wv_calib_arxiv and pull out some relevant quantities @@ -1429,7 +1433,7 @@ def __init__(self, spec, lamps, par=None, ok_mask=None, islinelist=False, self._unknwns = waveio.load_unknown_list(self._lamps) if self._use_unknowns: - self._tot_list = table.vstack([self._line_lists, self._unknwns]) + self._tot_list = astropy.table.vstack([self._line_lists, self._unknwns]) else: self._tot_list = self._line_lists @@ -1688,8 +1692,8 @@ def run_kdtree(self, polygon=4, detsrch=7, lstsrch=10, pixtol=5): msgs.warn("Patterns can only be generated with 3 <= polygon <= 6") return None - dettreep = cKDTree(patternp, leafsize=30) - dettreem = cKDTree(patternm, leafsize=30) + dettreep = scipy.spatial.cKDTree(patternp, leafsize=30) + dettreem = scipy.spatial.cKDTree(patternm, leafsize=30) # Query the detections tree msgs.info("Querying KD tree patterns (slit {0:d}/{1:d})".format(slit+1, self._nslit)) @@ -1943,7 +1947,7 @@ def cross_match(self, good_fit, detections): patterns.solve_triangles(bsdet, self._wvdata, dindex, lindex, patt_dict = patt_dict) if self._debug: - tmp_list = table.vstack([self._line_lists, self._unknwns]) + tmp_list = astropy.table.vstack([self._line_lists, self._unknwns]) match_qa(self._spec[:, bs], bsdet, tmp_list,patt_dict['IDs'], patt_dict['scores']) # Use only the perfect IDs @@ -2388,7 +2392,7 @@ def solve_slit(self, slit, psols, msols, tcent_ecent, nstore=1, nselw=3, nseld=3 #histimgp = gaussian_filter(histimgp, 3) #histimgm = gaussian_filter(histimgm, 3) histimg = histimgp - histimgm - sm_histimg = gaussian_filter(histimg, [30, 15]) + sm_histimg = scipy.ndimage.gaussian_filter(histimg, [30, 15]) #histpeaks = patterns.detect_2Dpeaks(np.abs(sm_histimg)) histpeaks = patterns.detect_2Dpeaks(np.abs(histimg)) diff --git a/pypeit/core/wavecal/patterns.py b/pypeit/core/wavecal/patterns.py index ceb5a86f62..833818b605 100644 --- a/pypeit/core/wavecal/patterns.py +++ b/pypeit/core/wavecal/patterns.py @@ -1,8 +1,8 @@ """ Module for finding patterns in arc line spectra """ import numpy as np -from scipy.ndimage.filters import maximum_filter -from scipy.ndimage.morphology import generate_binary_structure, binary_erosion +from scipy.ndimage import maximum_filter +from scipy.ndimage import generate_binary_structure, binary_erosion #import numba as nb diff --git a/pypeit/core/wavecal/templates.py b/pypeit/core/wavecal/templates.py index 77689b4ecb..f7cccd39c1 100644 --- a/pypeit/core/wavecal/templates.py +++ b/pypeit/core/wavecal/templates.py @@ -4,6 +4,8 @@ """ import os +import pathlib + import numpy as np from IPython import embed @@ -12,7 +14,6 @@ from scipy.io import readsav from scipy.interpolate import interp1d - from astropy.table import Table from astropy import units @@ -40,7 +41,7 @@ # # Meta must include BINNING of the template with 1=native if os.getenv('PYPEIT_DEV') is not None: - template_path = os.path.join(os.getenv('PYPEIT_DEV'), 'dev_algorithms/wavelengths/template_files/') + template_path = pathlib.Path(os.getenv('PYPEIT_DEV')).joinpath('dev_algorithms','wavelengths','template_files') else: # print("You may wish to set the PYPEIT_DEV environment variable") pass @@ -304,7 +305,7 @@ def pypeit_identify_record(iwv_calib, binspec, specname, gratname, dispangl, out extstr = "" while True: outroot = '{0:s}_{1:s}_{2:s}{3:s}.fits'.format(specname, gratname, dispangl, extstr) - if os.path.exists(os.path.join(data.Paths.reid_arxiv, outroot)): + if data.Paths.reid_arxiv.joinpath(outroot).exists(): extstr = "_{0:02d}".format(cntr) else: break @@ -503,7 +504,7 @@ def main(flg): if flg & (2**0): # B300, all lamps binspec = 1 slits = [15] - xidl_file = os.path.join(template_path, 'Keck_LRIS', 'B300', 'lris_blue_300.sav') + xidl_file = template_path.joinpath('Keck_LRIS', 'B300', 'lris_blue_300.sav') outroot = 'keck_lris_blue_300_d680.fits' build_template(xidl_file, slits, None, binspec, outroot, lowredux=True) @@ -512,7 +513,7 @@ def main(flg): outroot='keck_lris_blue_400_d560.fits' slits = [19,14] lcut = [5500.] - xidl_file = os.path.join(template_path, 'Keck_LRIS', 'B400', 'lris_blue_400_d560.sav') + xidl_file = template_path.joinpath('Keck_LRIS', 'B400', 'lris_blue_400_d560.sav') build_template(xidl_file, slits, lcut, binspec, outroot, lowredux=True) if flg & (2**2): # B600, all lamps @@ -520,7 +521,7 @@ def main(flg): outroot='keck_lris_blue_600_d560.fits' slits = [0,7] lcut = [4500.] - wfile = os.path.join(template_path, 'Keck_LRIS', 'B600', 'MasterWaveCalib_A_1_01.json') + wfile = template_path.joinpath('Keck_LRIS', 'B600', 'MasterWaveCalib_A_1_01.json') build_template(wfile, slits, lcut, binspec, outroot, lowredux=False) if flg & (2**3): # B1200, all lamps? @@ -528,7 +529,7 @@ def main(flg): outroot='keck_lris_blue_1200_d460.fits' slits = [19,44] lcut = [3700.] - xidl_file = os.path.join(template_path, 'Keck_LRIS', 'B1200', 'lris_blue_1200.sav') + xidl_file = template_path.joinpath('Keck_LRIS', 'B1200', 'lris_blue_1200.sav') build_template(xidl_file, slits, lcut, binspec, outroot, lowredux=True) # ###############################################3 @@ -538,7 +539,7 @@ def main(flg): outroot='keck_lris_red_400.fits' slits = [7] # Quite blue, but not the bluest lcut = [] - wfile = os.path.join(template_path, 'Keck_LRIS', 'R400', 'MasterWaveCalib_A_1_01.json') + wfile = template_path.joinpath('Keck_LRIS', 'R400', 'MasterWaveCalib_A_1_01.json') build_template(wfile, slits, lcut, binspec, outroot, lowredux=False) if flg & (2**11): # R1200 @@ -549,8 +550,8 @@ def main(flg): ifiles = [0, 1] slits = [3, 7] lcut = [9250.] - wfile1 = os.path.join(template_path, 'Keck_LRIS', 'R1200_9000', 'MasterWaveCalib_A_1_02.json') # Original Dev - wfile2 = os.path.join(template_path, 'Keck_LRIS', 'R1200_9000', 'MasterWaveCalib_A_1_01.json') # Dev suite 2x1 + wfile1 = template_path.joinpath('Keck_LRIS', 'R1200_9000', 'MasterWaveCalib_A_1_02.json') # Original Dev + wfile2 = template_path.joinpath('Keck_LRIS', 'R1200_9000', 'MasterWaveCalib_A_1_01.json') # Dev suite 2x1 build_template([wfile1,wfile2], slits, lcut, binspec, outroot, lowredux=False, ifiles=ifiles) @@ -561,7 +562,7 @@ def main(flg): outroot='keck_lris_red_600_5000.fits' slits = [4, 7] lcut = [7820.] - wfile = os.path.join(template_path, 'Keck_LRIS', 'R600_5000', 'MasterWaveCalib_B_1_01.json') + wfile = template_path.joinpath('Keck_LRIS', 'R600_5000', 'MasterWaveCalib_B_1_01.json') build_template(wfile, slits, lcut, binspec, outroot, lowredux=False) if flg & (2**27): # R600/7500 @@ -571,7 +572,7 @@ def main(flg): outroot='keck_lris_red_600_7500.fits' slits = [10, 4] lcut = [7840.] - wfile = os.path.join(template_path, 'Keck_LRIS', 'R600_7500', 'MasterWaveCalib_I_1_01.json') + wfile = template_path.joinpath('Keck_LRIS', 'R600_7500', 'MasterWaveCalib_I_1_01.json') build_template(wfile, slits, lcut, binspec, outroot, lowredux=False, chk=True, normalize=True, subtract_conti=True) @@ -579,8 +580,8 @@ def main(flg): # Magellan/MagE if flg & (2**13): # Load - mase_path = os.path.join(os.getenv('XIDL_DIR'), 'Magellan', 'MAGE', 'mase', 'Calib') - sav_file = os.path.join(mase_path, 'MagE_wvguess_jfh.idl') + mase_path = pathlib.Path(os.getenv('XIDL_DIR')).joinpath('Magellan', 'MAGE', 'mase', 'Calib') + sav_file = mase_path.joinpath('MagE_wvguess_jfh.idl') mase_dict = readsav(sav_file) mase_sol = Table(mase_dict['all_arcfit']) # Do it @@ -600,12 +601,12 @@ def main(flg): tbl.meta['BINSPEC'] = 1 # Write outroot='magellan_mage.fits' - outfile = os.path.join(template_path, outroot) + outfile = template_path.joinpath(outroot) tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) if flg & (2**14): # Magellan/MagE Plots - new_mage_file = os.path.join(data.Paths.reid_arxiv, 'magellan_mage.fits') + new_mage_file = data.Paths.reid_arxiv.joinpath('magellan_mage.fits') # Load mage_wave = Table.read(new_mage_file) llist = waveio.load_line_lists(['ThAr_MagE']) @@ -619,19 +620,20 @@ def main(flg): # Fit final_fit = wv_fitting.fit_slit(fx, patt_dict, detections, llist) # Output - outfile=os.path.join(data.Paths.arc_plot, - f'MagE_order{order:2d}_IDs.pdf') + outfile=data.Paths.arc_plot.joinpath(f'MagE_order{order:2d}_IDs.pdf') autoid.arc_fit_qa(final_fit, outfile=outfile, ids_only=True) print(f"Wrote: {outfile}") - autoid.arc_fit_qa(final_fit, outfile=os.path.join(data.Paths.arc_plot, - f'MagE_order{order:2d}_full.pdf')) + autoid.arc_fit_qa( + final_fit, + outfile=data.Paths.arc_plot.joinpath(f'MagE_order{order:2d}_full.pdf') + ) if flg & (2**15): # VLT/X-Shooter reid_arxiv # VIS for iroot, iout in zip(['vlt_xshooter_vis1x1.json', 'vlt_xshooter_nir.json'], ['vlt_xshooter_vis1x1.fits', 'vlt_xshooter_nir.fits']): # Load - old_file = os.path.join(data.Paths.reid_arxiv, iroot) + old_file = data.Paths.reid_arxiv.joinpath(iroot) odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -651,7 +653,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = os.path.join(data.Paths.reid_arxiv, iout) + outfile = data.Paths.reid_arxiv.joinpath(iout) tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) @@ -672,7 +674,7 @@ def main(flg): iroot = 'keck_nires.json' iout = 'keck_nires.fits' # Load - old_file = os.path.join(data.Paths.reid_arxiv, iroot) + old_file = data.Paths.reid_arxiv.joinpath(iroot) odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -692,7 +694,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = os.path.join(data.Paths.reid_arxiv, iout) + outfile = data.Paths.reid_arxiv.joinpath(iout) tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) @@ -701,7 +703,7 @@ def main(flg): iroot = 'gemini_gnirs.json' iout = 'gemini_gnirs.fits' # Load - old_file = os.path.join(data.Paths.reid_arxiv, iroot) + old_file = data.Paths.reid_arxiv.joinpath(iroot) odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -721,7 +723,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = os.path.join(data.Paths.reid_arxiv, iout) + outfile = data.Paths.reid_arxiv.joinpath(iout) tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) @@ -729,7 +731,7 @@ def main(flg): if flg & (2**23): # WHT/ISIS iroot = 'wht_isis_blue_1200_4800.json' outroot = 'wht_isis_blue_1200_4800.fits' - wfile = os.path.join(template_path, 'WHT_ISIS', '1200B', iroot) + wfile = template_path.joinpath('WHT_ISIS', '1200B', iroot) binspec = 2 slits = [0] lcut = [3200.] @@ -739,7 +741,7 @@ def main(flg): iroot = 'magellan_fire_echelle.json' iout = 'magellan_fire_echelle.fits' # Load - old_file = os.path.join(data.Paths.reid_arxiv, iroot) + old_file = data.Paths.reid_arxiv.joinpath(iroot) odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -760,15 +762,15 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = os.path.join(data.Paths.reid_arxiv, iout) + outfile = data.Paths.reid_arxiv.joinpath(iout) tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) if flg & (2**25): # FIRE longslit binspec = 1 outroot = 'magellan_fire_long.fits' - xidl_file = os.path.join(os.getenv('FIRE_DIR'), 'LowDispersion', 'NeNeAr_archive_fit.fits') - spec_file = os.path.join(os.getenv('FIRE_DIR'), 'LowDispersion', 'NeNeAr2.sav') + xidl_file = pathlib.Path(os.getenv('FIRE_DIR')).joinpath('LowDispersion', 'NeNeAr_archive_fit.fits') + spec_file = pathlib.Path(os.getenv('FIRE_DIR')).joinpath('LowDispersion', 'NeNeAr2.sav') fire_sol = Table.read(xidl_file) wave = cheby_val(fire_sol['FFIT'].data[0], np.arange(2048), fire_sol['NRM'].data[0], fire_sol['NORD'].data[0]) wv_vac = airtovac(wave * units.AA) @@ -784,14 +786,14 @@ def main(flg): slits = [0] lcut = [] for ii in range(len(iroot)): - wfile = os.path.join(data.Paths.reid_arxiv, iroot[ii]) + wfile = data.Paths.reid_arxiv.joinpath(iroot[ii]) build_template(wfile, slits, lcut, binspec, outroot[ii], lowredux=False) # MDM/OSMOS -- MDM4K if flg & (2 ** 28): # ArI 4159 -- 6800 - wfile = os.path.join(template_path, 'MDM_OSMOS', 'MasterWaveCalib_MDM4K_01.json') + wfile = template_path.joinpath('MDM_OSMOS', 'MasterWaveCalib_MDM4K_01.json') outroot = 'mdm_osmos_mdm4k.fits' binspec = 1 slits = [0] @@ -807,7 +809,7 @@ def main(flg): slits = [1020,1020,1020] lcut = [] for ii in range(len(iroot)): - wfile = os.path.join(data.Paths.reid_arxiv, iroot[ii]) + wfile = data.Paths.reid_arxiv.joinpath(iroot[ii]) build_template(wfile, slits, lcut, binspec, outroot[ii], lowredux=False) # LBT/MODS if flg & (2**33): @@ -817,14 +819,14 @@ def main(flg): slits = [[1557],[1573]] lcut = [] for ii in range(len(iroot)): - wfile = os.path.join(data.Paths.reid_arxiv, iroot[ii]) + wfile = data.Paths.reid_arxiv.joinpath(iroot[ii]) build_template(wfile, slits[ii], lcut, binspec, outroot[ii], lowredux=False) # P200 Triplespec if flg & (2**34): iroot = 'p200_triplespec_MasterWaveCalib.fits' iout = 'p200_triplespec.fits' # Load - old_file = os.path.join(data.Paths.reid_arxiv, iroot) + old_file = data.Paths.reid_arxiv.joinpath(iroot) par = io.fits_open(old_file) pyp_spec = par[0].header['PYP_SPEC'] spectrograph = load_spectrograph(pyp_spec) @@ -843,7 +845,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = os.path.join(data.Paths.reid_arxiv, iout) + outfile = data.Paths.reid_arxiv.joinpath(iout) tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) diff --git a/pypeit/core/wavecal/waveio.py b/pypeit/core/wavecal/waveio.py index 720b87220b..48f6f82317 100644 --- a/pypeit/core/wavecal/waveio.py +++ b/pypeit/core/wavecal/waveio.py @@ -1,7 +1,6 @@ """ Module for I/O in arclines """ -import glob -import os +import pathlib import astropy.table import linetools.utils @@ -15,22 +14,22 @@ # TODO -- Move this to the WaveCalib object -def load_wavelength_calibration(filename): +def load_wavelength_calibration(filename: pathlib.Path) -> dict: """ Load the wavelength calibration data from a file. Args: - filename (:obj:`str`): + filename (:obj:`pathlib.Path`): Name of the json file. Returns: :obj:`dict`: Returns the wavelength calibration dictionary. Lists read from the json file are returnes as numpy arrays. """ - if not os.path.isfile(filename): + if not filename.is_file(): msgs.error(f"File does not exist: {filename}") - wv_calib = linetools.utils.loadjson(filename) + wv_calib = linetools.utils.loadjson(str(filename)) # Recast a few items as arrays for key in wv_calib.keys(): @@ -65,10 +64,10 @@ def load_template(arxiv_file, det, wvrng=None): """ # Path already included? - if os.path.basename(arxiv_file) == arxiv_file: + if pathlib.Path(arxiv_file).name == arxiv_file: calibfile, _ = data.get_reid_arxiv_filepath(arxiv_file) else: - calibfile = arxiv_file + calibfile = pathlib.Path(arxiv_file) # Read me tbl = astropy.table.Table.read(calibfile, format='fits') # Parse on detector? @@ -178,7 +177,7 @@ def load_line_lists(lamps, unknown=False, all=False, restrict_on_instr=None): # All? if all: # Search both in the package directory and the PypeIt cache - line_files = glob.glob(os.path.join(data.Paths.linelist, '*_lines.dat')) + line_files = list(data.Paths.linelist.glob('*_lines.dat')) line_files.append(data.search_cache('_lines.dat')) lamps = [] for line_file in line_files: diff --git a/pypeit/data/arc_lines/convert_NIST_to_lists.py b/pypeit/data/arc_lines/convert_NIST_to_lists.py index 6a2638be4c..f711e6439f 100644 --- a/pypeit/data/arc_lines/convert_NIST_to_lists.py +++ b/pypeit/data/arc_lines/convert_NIST_to_lists.py @@ -2,14 +2,11 @@ Module for generating Arc Line lists Should be run where it is located (for now) """ -from __future__ import print_function, absolute_import, division, unicode_literals -import os import pdb import datetime -from collections import OrderedDict -from astropy.table import Table, Column +import astropy.table from pypeit import data @@ -47,21 +44,17 @@ def init_line_list(): # # Dict for Table - idict = OrderedDict() - idict['ion'] = dummy_line - idict['wave'] = 0. - idict['NIST'] = 0 - idict['Instr'] = 0 # Flag for instrument - idict['amplitude'] = 0 - idict['Source'] = dummy_src + idict = { + 'ion': dummy_line, + 'wave': 0., + 'NIST': 0, + 'Instr': 0, # Flag for instrument + 'amplitude': 0, + 'Source': dummy_src, + } - # Table - tkeys = idict.keys() - lst = [[idict[tkey]] for tkey in tkeys] - init_tbl = Table(lst, names=tkeys) - - # Return - return init_tbl + # Return table + return astropy.table.Table(idict) def load_line_list(line): @@ -76,13 +69,13 @@ def load_line_list(line): line_list : Table """ - line_file = os.path.join(data.Paths.nist, f'{line}_vacuum.ascii') + line_file = data.Paths.nist.jopinpath(f'{line}_vacuum.ascii') # Check the NIST lines file exists - if not os.path.isfile(line_file): + if not line_file.is_file(): raise IOError(f"Input line {line} is not available") - line_list = Table.read(line_file, format='ascii.fixed_width', comment='#') + line_list = astropy.table.Table.read(line_file, format='ascii.fixed_width', comment='#') # Remove unwanted columns tkeys = line_list.keys() @@ -114,8 +107,8 @@ def load_line_list(line): i0 = line_file.rfind('/') i1 = line_file.rfind('_') ion = line_file[i0+1:i1] - line_list.add_column(Column([ion]*len(line_list), name='Ion', dtype='U5')) - line_list.add_column(Column([1]*len(line_list), name='NIST')) + line_list.add_column(astropy.table.Column([ion]*len(line_list), name='Ion', dtype='U5')) + line_list.add_column(astropy.table.Column([1]*len(line_list), name='NIST')) return line_list @@ -189,7 +182,7 @@ def write_line_list(tbl, outfile, overwrite=True): tbl['wave'].format = '10.4f' # Write with open(outfile, 'w') as f: - f.write('# Creation Date: {:s}\n'.format(str(datetime.date.today().strftime('%Y-%m-%d')))) + f.write(f"# Creation Date: {str(datetime.date.today().strftime('%Y-%m-%d'))}\n") tbl.write(f, format='ascii.fixed_width', overwrite=overwrite) diff --git a/pypeit/data/utils.py b/pypeit/data/utils.py index afa106c166..9f43109d67 100644 --- a/pypeit/data/utils.py +++ b/pypeit/data/utils.py @@ -22,13 +22,16 @@ need be modified and the remainder of the package can remain ignorant of those changes and continue to call the paths supplied by this module. +Furthermore, all paths returned by this module are :obj:`pathlib.Path` objects +rather than pure strings, with all of the functionality therein contained. + Most (by number) of the package data files here are distributed with the -``PypeIt`` package and are accessed via the :class:`~pypeit.data.utils.Paths` +``PypeIt`` package and are accessed via the :class:`~pypeit.data.Paths` class. For instance, the NIR spectrophotometry for Vega is accessed via: .. code-block:: python - vega_file = os.path.join(data.Paths.standards, 'vega_tspectool_vacuum.dat') + vega_file = data.Paths.standards.joinpath('vega_tspectool_vacuum.dat') For some directories, however, the size of the included files is large enough that it was beginning to cause problems with distributing the package via PyPI. @@ -62,12 +65,12 @@ If new package-included data are added that are not very large (total directory size < a few MB), it is not necessary to use the AstroPy cache/download system. In this case, simply add the directory path to the -:class:`~pypeit.data.utils.Paths` class and access the enclosed files similarly +:class:`~pypeit.data.Paths` class and access the enclosed files similarly to the Vega example above. .. include:: ../include/links.rst """ -import os +import pathlib import shutil import urllib.error @@ -91,117 +94,125 @@ # Package-Data Paths =========================================================# -class Paths_meta(type): - """MetaClass for Paths; only needed until python>=3.9 +class Paths: + """List of hardwired paths within the pypeit.data module - The use of this metaclass is necessary until PypeIt sets python>=3.9, at - which time, the methods shown below can be in the base Paths() class with - the dual decorators: - @classmethod - @property + Each `@property` method returns a :obj:`pathlib.Path` object + """ - This entire machinery is in place because we do not instantiate the Paths() - class, but rather use it only as a container for the hardwired paths with - error checking. + # Class Attributes -- Hardwired Paths + _data = pathlib.Path(resource_filename('pypeit', 'data')) - TODO: Upon upgrade to python>=3.9, turn the metaclass into the Paths() - class, and add the @classmethod decorator to each method. - """ - def __init__(cls, *args, **kwargs): - - # Class Attributes -- Hardwired Paths - cls._data = resource_filename('pypeit', 'data') - - # Telluric Corrections - cls._telgrid = os.path.join(cls._data, 'telluric', 'atm_grids') - cls._tel_model = os.path.join(cls._data, 'telluric', 'models') - - # Wavelength Calibrations - cls._arclines = os.path.join(cls._data, 'arc_lines') - cls._reid_arxiv = os.path.join(cls._data, 'arc_lines', 'reid_arxiv') - cls._linelist = os.path.join(cls._data, 'arc_lines', 'lists') - cls._nist = os.path.join(cls._data, 'arc_lines', 'NIST') - cls._arc_plot = os.path.join(cls._data, 'arc_lines', 'plots') - - # Flux Calibrations - cls._standards = os.path.join(cls._data, 'standards') - cls._extinction = os.path.join(cls._data, 'extinction') - cls._skisim = os.path.join(cls._data, 'skisim') - cls._filters = os.path.join(cls._data, 'filters') - cls._sensfuncs = os.path.join(cls._data, 'sensfuncs') - - # Other - cls._sky_spec = os.path.join(cls._data, 'sky_spec') - cls._static_calibs = os.path.join(cls._data, 'static_calibs') - cls._spectrographs = os.path.join(cls._data, 'spectrographs') + # Telluric Corrections + _telgrid = _data.joinpath('telluric', 'atm_grids') + _tel_model = _data.joinpath('telluric', 'models') + + # Wavelength Calibrations + _arclines = _data.joinpath('arc_lines') + _reid_arxiv = _arclines.joinpath('reid_arxiv') + _linelist = _arclines.joinpath('lists') + _nist = _arclines.joinpath('NIST') + _arc_plot = _arclines.joinpath('plots') + + # Flux Calibrations + _standards = _data.joinpath('standards') + _extinction = _data.joinpath('extinction') + _skisim = _data.joinpath('skisim') + _filters = _data.joinpath('filters') + _sensfuncs = _data.joinpath('sensfuncs') + + # Other + _sky_spec = _data.joinpath('sky_spec') + _static_calibs = _data.joinpath('static_calibs') + _spectrographs = _data.joinpath('spectrographs') + @classmethod @property def data(cls): - return check_isdir(cls._data) + return cls.check_isdir(cls._data) # Telluric Corrections + @classmethod @property def telgrid(cls): - return check_isdir(cls._telgrid) + return cls.check_isdir(cls._telgrid) + @classmethod @property def tel_model(cls): - return check_isdir(cls._tel_model) + return cls.check_isdir(cls._tel_model) # Wavelength Calibrations + @classmethod @property def arclines(cls): - return check_isdir(cls._arclines) + return cls.check_isdir(cls._arclines) + @classmethod @property def reid_arxiv(cls): - return check_isdir(cls._reid_arxiv) + return cls.check_isdir(cls._reid_arxiv) + @classmethod @property def linelist(cls): - return check_isdir(cls._linelist) + return cls.check_isdir(cls._linelist) + @classmethod @property def nist(cls): - return check_isdir(cls._nist) + return cls.check_isdir(cls._nist) + @classmethod @property def arc_plot(cls): - return check_isdir(cls._arc_plot) + return cls.check_isdir(cls._arc_plot) # Flux Calibrations + @classmethod @property def standards(cls): - return check_isdir(cls._standards) + return cls.check_isdir(cls._standards) + @classmethod @property def extinction(cls): - return check_isdir(cls._extinction) + return cls.check_isdir(cls._extinction) + @classmethod @property def skisim(cls): - return check_isdir(cls._skisim) + return cls.check_isdir(cls._skisim) + @classmethod @property def filters(cls): - return check_isdir(cls._filters) + return cls.check_isdir(cls._filters) + @classmethod @property def sensfuncs(cls): - return check_isdir(cls._sensfuncs) + return cls.check_isdir(cls._sensfuncs) # Other + @classmethod @property def sky_spec(cls): - return check_isdir(cls._sky_spec) + return cls.check_isdir(cls._sky_spec) + @classmethod @property def static_calibs(cls): - return check_isdir(cls._static_calibs) + return cls.check_isdir(cls._static_calibs) + @classmethod @property def spectrographs(cls): - return check_isdir(cls._spectrographs) + return cls.check_isdir(cls._spectrographs) + @staticmethod + def check_isdir(path): + """Check that the hardwired directory exists -class Paths(metaclass=Paths_meta): - """List of hardwired paths within the pypeit.data module - - [extended_summary] - """ + If yes, return the directory path, else raise an error message + """ + if not path.is_dir(): + msgs.error(f"Unable to find {path}. " + "Check your installation.") + return path # Remote-fetch functions for package data not distributed via PyPI ===========# -def get_reid_arxiv_filepath(arxiv_file): +def get_reid_arxiv_filepath(arxiv_file: str) -> tuple[pathlib.Path, str]: """Return the full path to the ``reid_arxiv`` file In an attempt to reduce the size of the PypeIt package as distributed on @@ -230,16 +241,16 @@ def get_reid_arxiv_filepath(arxiv_file): Returns: tuple: The full path and whether the path is in the cache: - * reid_path (str): The full path to the ``reid_arxiv`` file - * arxiv_fmt (str): The extension of the ``reid_arxiv`` file (format) + * reid_path (:obj:`pathlib.Path`): The full path to the ``reid_arxiv`` file + * arxiv_fmt (:obj:`str`): The extension of the ``reid_arxiv`` file (format) """ # Full path within the package data structure: - reid_path = os.path.join(Paths.reid_arxiv, arxiv_file) + reid_path = Paths.reid_arxiv.joinpath(arxiv_file) arxiv_fmt = arxiv_file.split(".")[-1].lower() # Check if the file does NOT exist in the package directory # NOTE: This should be the case for all but from-source installations - if not os.path.isfile(reid_path): + if not reid_path.is_file(): # Output an informational message msgs.info(f"reid_arxiv file {arxiv_file} does not exist in{msgs.newline()}" @@ -251,7 +262,7 @@ def get_reid_arxiv_filepath(arxiv_file): return reid_path, arxiv_fmt -def get_skisim_filepath(skisim_file): +def get_skisim_filepath(skisim_file: str) -> pathlib.Path: """Return the full path to the ``skisim`` file In an attempt to reduce the size of the PypeIt package as distributed on @@ -278,14 +289,14 @@ def get_skisim_filepath(skisim_file): The base filename of the ``skisim`` file to be located Returns: - str: The full path to the ``skisim`` file + :obj:`pathlib.Path`: The full path to the ``skisim`` file """ # Full path within the package data structure: - skisim_path = os.path.join(Paths.skisim, skisim_file) + skisim_path = Paths.skisim.joinpath(skisim_file) # Check if the file does NOT exist in the package directory # NOTE: This should be the case for all but from-source installations - if not os.path.isfile(skisim_path): + if not skisim_path.is_file(): # Output an informational message msgs.info(f"skisim file {skisim_file} does not exist in{msgs.newline()}" @@ -297,7 +308,7 @@ def get_skisim_filepath(skisim_file): return skisim_path -def get_sensfunc_filepath(sensfunc_file, symlink_in_pkgdir=False): +def get_sensfunc_filepath(sensfunc_file: str, symlink_in_pkgdir=False) -> pathlib.Path: """Return the full path to the ``sensfunc`` file In an attempt to reduce the size of the PypeIt package as distributed on @@ -327,14 +338,14 @@ def get_sensfunc_filepath(sensfunc_file, symlink_in_pkgdir=False): pointing to the cached downloaded file. Defaults to False. Returns: - str: The full path to the ``sensfunc`` file + :obj:`pthlib.Path`: The full path to the ``sensfunc`` file """ # Full path within the package data structure: - sensfunc_path = os.path.join(Paths.sensfuncs, sensfunc_file) + sensfunc_path = Paths.sensfuncs.joinpath(sensfunc_file) # Check if the file does NOT exist in the package directory # NOTE: This should be the case for all but from-source installations - if not os.path.isfile(sensfunc_path): + if not sensfunc_path.is_file(): # Output an informational message msgs.info(f"sensfunc file {sensfunc_file} does not exist in{msgs.newline()}" @@ -344,9 +355,9 @@ def get_sensfunc_filepath(sensfunc_file, symlink_in_pkgdir=False): # If requested, copy to package data directory and point the path there if symlink_in_pkgdir: - path_in_pkgdir = os.path.join(Paths.sensfuncs, sensfunc_file) + path_in_pkgdir = Paths.sensfuncs.joinpath(sensfunc_file) # Create the symlink - os.symlink(sensfunc_path, path_in_pkgdir) + path_in_pkgdir.symlink_to(sensfunc_path) # Return the path to the symlink in the package directory sensfunc_path = path_in_pkgdir @@ -354,7 +365,7 @@ def get_sensfunc_filepath(sensfunc_file, symlink_in_pkgdir=False): return sensfunc_path -def get_telgrid_filepath(telgrid_file): +def get_telgrid_filepath(telgrid_file: str) -> pathlib.Path: """Return the full path to the ``telgrid`` file Atmospheric Telluric Grid files are not part of the PypeIt package itself @@ -376,14 +387,14 @@ def get_telgrid_filepath(telgrid_file): The base filename of the ``telgrid`` file to be located Returns: - str: The full path to the ``telgrid`` file + :obj:`pathlib.Path`: The full path to the ``telgrid`` file """ # Full path within the package data structure: - telgrid_path = os.path.join(Paths.telgrid, telgrid_file) + telgrid_path = Paths.telgrid.joinpath(telgrid_file) # Check if the file does NOT exist in the package directory # NOTE: This should be the case for most installations - if not os.path.isfile(telgrid_path): + if not telgrid_path.is_file(): # Output a brief warning for now -- makes it easier to find in the output msgs.info(f"telgrid file {telgrid_file} does not exist in{msgs.newline()}" @@ -393,14 +404,14 @@ def get_telgrid_filepath(telgrid_file): # If a development version, MOVE into the package directory, point path there if ".dev" in __version__: - shutil.move(telgrid_path, os.path.join(Paths.telgrid, telgrid_file)) - telgrid_path = os.path.join(Paths.telgrid, telgrid_file) + shutil.move(telgrid_path, Paths.telgrid.joinpath(telgrid_file)) + telgrid_path = Paths.telgrid.joinpath(telgrid_file) # Return the path to the `telgrid` file return telgrid_path -def get_linelist_filepath(linelist_file): +def get_linelist_filepath(linelist_file: str) -> pathlib.Path: """Return the full path to the ``linelist`` file It is desired to allow users to utilize their own arc line lists for @@ -427,14 +438,14 @@ def get_linelist_filepath(linelist_file): The base filename of the ``linelist`` file to be located Returns: - str: The full path to the ``linelist`` file + :obj:`pathlib.Path`: The full path to the ``linelist`` file """ # Full path within the package data structure: - linelist_path = os.path.join(Paths.linelist, linelist_file) + linelist_path = Paths.linelist.joinpath(linelist_file) # Check if the file does NOT exist in the package directory # NOTE: This should only be the case for user-installed line lists - if not os.path.isfile(linelist_path): + if not linelist_path.is_file(): linelist_path = fetch_remote_file(linelist_file, "arc_lines/lists") @@ -446,7 +457,7 @@ def get_linelist_filepath(linelist_file): return linelist_path -def get_extinctfile_filepath(extinction_file): +def get_extinctfile_filepath(extinction_file: str) -> pathlib.Path: """Return the full path to the ``extinction`` file Unlike other get_*_filepath() functions, the extinction files are included @@ -460,14 +471,14 @@ def get_extinctfile_filepath(extinction_file): The base filename of the ``extinction`` file to be located Returns: - str: The full path to the ``extinction`` file + :obj:`pathlib.Path`: The full path to the ``extinction`` file """ # Full path within the package data structure: - extinction_path = os.path.join(Paths.extinction, extinction_file) + extinction_path = Paths.extinction.joinpath(extinction_file) # Check if the file does NOT exist in the package directory # NOTE: This should be the case only for user-installed extinction files - if not os.path.isfile(extinction_path): + if not extinction_path.is_file(): extinction_path = fetch_remote_file(extinction_file, "extinction") @@ -480,8 +491,14 @@ def get_extinctfile_filepath(extinction_file): # AstroPy download/cache infrastructure ======================================# -def fetch_remote_file(filename, filetype, remote_host='github', install_script=False, - force_update=False, full_url=None): +def fetch_remote_file( + filename: str, + filetype: str, + remote_host='github', + install_script=False, + force_update=False, + full_url=None +) -> pathlib.Path: """Use ``astropy.utils.data`` to fetch file from remote or cache The function ``download_file()`` will first look in the local cache (the option @@ -510,7 +527,7 @@ def fetch_remote_file(filename, filetype, remote_host='github', install_script=F The full url (i.e., skip _build_remote_url()) Defaults to None. Returns: - str: The local path to the desired file in the cache + :obj:`pathlib.Path`: The local path to the desired file in the cache """ # In some cases, we have the full URL already, but most of the time not if full_url: @@ -527,9 +544,13 @@ def fetch_remote_file(filename, filetype, remote_host='github', install_script=F # Get the file from cache, if available, or download from the remote server try: - return astropy.utils.data.download_file(remote_url, sources=sources, timeout=10, - cache="update" if force_update else True, - pkgname="pypeit") + cache_fn = astropy.utils.data.download_file( + remote_url, + sources=sources, + timeout=10, + cache="update" if force_update else True, + pkgname="pypeit" + ) except urllib.error.URLError as error: if remote_host == "s3_cloud" and (requests.head(sources[0]).status_code in @@ -572,8 +593,11 @@ def fetch_remote_file(filename, filetype, remote_host='github', install_script=F # Raise the appropriate error message msgs.error(err_msg) + # If no error, return the pathlib object + return pathlib.Path(cache_fn) -def search_cache(pattern_str): + +def search_cache(pattern_str: str) -> list[pathlib.Path]: """Search the cache for items matching a pattern string This function searches the PypeIt cache for files whose URL keys contain @@ -591,8 +615,8 @@ def search_cache(pattern_str): # Retreive a dictionary of the cache contents cache_dict = astropy.utils.data.cache_contents(pkgname="pypeit") - # Return just the local filenames for items matching the `pattern_str` - return [cache_dict[url] for url in cache_dict if pattern_str in url] + # Return just the local filenames' Paths for items matching the `pattern_str` + return [pathlib.Path(cache_dict[url]) for url in cache_dict if pattern_str in url] def write_file_to_cache(filename, cachename, filetype, remote_host="github"): @@ -701,7 +725,7 @@ def _get_s3_hostname(): urllib.error.URLError, github.GithubException ): - filepath = os.path.join(Paths.data, "s3_url.txt") + filepath = Paths.data.joinpath("s3_url.txt") # Open the file and return the URL with open(filepath, "r", encoding="utf-8") as fileobj: @@ -709,7 +733,7 @@ def _get_s3_hostname(): # Loading Functions for Particular File Types ================================# -def load_telluric_grid(filename): +def load_telluric_grid(filename: str): """Load a telluric atmospheric grid NOTE: This is where the path to the data directory is added! @@ -731,7 +755,7 @@ def load_telluric_grid(filename): # Check for existance of file # NOTE: With the use of `get_telgrid_filepath()`, this should never run - if not os.path.isfile(file_with_path): + if not file_with_path.is_file(): msgs.error(f"File {file_with_path} is not on your disk. " "You likely need to download the Telluric files. " "See https://pypeit.readthedocs.io/en/release/installing.html" @@ -752,7 +776,7 @@ def load_thar_spec(): Returns: (:obj:`astropy.io.fits.HDUList`): ThAr Spectrum FITS HDU list """ - return io.fits_open(os.path.join(Paths.arclines, 'thar_spec_MM201006.fits')) + return io.fits_open(Paths.arclines.joinpath('thar_spec_MM201006.fits')) def load_sky_spectrum(sky_file): @@ -771,16 +795,4 @@ def load_sky_spectrum(sky_file): Returns: (:obj:`XSpectrum1D`): Sky spectrum """ - return xspectrum1d.XSpectrum1D.from_file(os.path.join(Paths.sky_spec, sky_file)) - - -# Utility Function ===========================================================# -def check_isdir(path): - """Check that the hardwired directory exists - - If yes, return the directory path, else raise NotADirectoryError - """ - if not os.path.isdir(path): - raise NotADirectoryError(f"Unable to find {path}. " - "Check your installation.") - return path + return xspectrum1d.XSpectrum1D.from_file(str(Paths.sky_spec.joinpath(sky_file))) diff --git a/pypeit/scripts/ql_multislit.py b/pypeit/scripts/ql_multislit.py index 0b663486d8..5788994d14 100644 --- a/pypeit/scripts/ql_multislit.py +++ b/pypeit/scripts/ql_multislit.py @@ -5,12 +5,11 @@ .. include:: ../include/links.rst """ -import os import copy +import os +import pathlib import time -from pkg_resources import resource_filename - from IPython import embed import numpy as np @@ -21,9 +20,8 @@ from pypeit import utils from pypeit import data -from pypeit import pypeit -from pypeit import par, msgs -from pypeit import pypeitsetup +from pypeit import par +from pypeit import msgs from pypeit import wavecalib from pypeit import wavetilts from pypeit import spec2dobj @@ -37,7 +35,6 @@ from pypeit.images import buildimage from pypeit.spectrographs.util import load_spectrograph from pypeit.core.parse import get_dnum, parse_binning -from pypeit.core.wavecal import wvutils from pypeit import sensfunc from pypeit.core import flux_calib from pypeit.scripts import scriptbase @@ -380,7 +377,7 @@ def main(args): tstart = time.time() # Parse the files sort by MJD - files = np.array([os.path.join(args.full_rawpath, file) for file in args.files]) + files = np.array([pathlib.Path(args.full_rawpath).joinpath(file) for file in args.files]) nfiles = len(files) @@ -401,32 +398,34 @@ def main(args): # Get the master path # Calibration Master directory - master_dir = os.path.join(data.Paths.data, 'QL_MASTERS') if args.master_dir is None else args.master_dir + master_dir = data.Paths.data.joinpath('QL_MASTERS') if args.master_dir is None else pathlib.Path(args.master_dir) master_subdir = spectrograph.get_ql_master_dir(files[0]) - master_path = os.path.join(master_dir, master_subdir) - if not os.path.isdir(master_path): + master_path = master_dir.joinpath(master_subdir) + if not master_path.is_dir(): msgs.error(f'{master_path} does not exist! You must install the QL_MASTERS ' 'directory; download the data from the PypeIt dev-suite Google Drive and ' 'either define a QL_MASTERS environmental variable or use the ' 'pypeit_install_ql_masters script.') bias_masterframe_name = \ - utils.find_single_file(os.path.join(master_path, "MasterBias*")) - slit_masterframe_name \ - = utils.find_single_file(os.path.join(master_path, "MasterSlits*")) - tilts_masterframe_name \ - = utils.find_single_file(os.path.join(master_path, "MasterTilts*")) - wvcalib_masterframe_name \ - = utils.find_single_file(os.path.join(master_path, 'MasterWaveCalib*')) - std_spec1d_file = utils.find_single_file(os.path.join(master_path, 'spec1d_*')) - sensfunc_masterframe_name = utils.find_single_file(os.path.join(master_path, 'sens_*')) + utils.find_single_file(master_path.joinpath("MasterBias*")) + slit_masterframe_name = \ + utils.find_single_file(master_path.joinpath("MasterSlits*")) + tilts_masterframe_name = \ + utils.find_single_file(master_path.joinpath("MasterTilts*")) + wvcalib_masterframe_name = \ + utils.find_single_file(master_path.joinpath("MasterWaveCalib*")) + std_spec1d_file = \ + utils.find_single_file(master_path.joinpath("spec1d_*")) + sensfunc_masterframe_name = \ + utils.find_single_file(master_path.joinpath("sens_*")) # TODO Implement some kind of checking for minimal masters. If --flux is set check for sensfunc etc. #if (bias_masterframe_name is None or not os.path.isfile(bias_masterframe_name)) or \ - if (slit_masterframe_name is None or not os.path.isfile(slit_masterframe_name)) or \ - (tilts_masterframe_name is None or not os.path.isfile(tilts_masterframe_name)) or \ - (std_spec1d_file is None or not os.path.isfile(std_spec1d_file)): + if (slit_masterframe_name is None or not slit_masterframe_name.is_file()) or \ + (tilts_masterframe_name is None or not tilts_masterframe_name.is_file()) or \ + (std_spec1d_file is None or not std_spec1d_file.is_file()): # or (sensfunc_masterframe_name is None or not os.path.isfile(sensfunc_masterframe_name)): msgs.error('Master frames not found. Check that environment variable QL_MASTERS ' 'points at the Master Calibs') diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 537689f36e..5cdf6b8323 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -4,8 +4,6 @@ .. include:: ../include/links.rst """ -import os -import glob import re import warnings @@ -217,7 +215,7 @@ def get_detector_par(self, det, hdu=None): # raw frame date in mjd date = time.Time(self.get_meta_value(self.get_headarr(hdu), 'mjd'), format='mjd').value # get the measurements files - measure_files = np.array(glob.glob(os.path.join(data.Paths.spectrographs, "keck_deimos/gain_ronoise", "*"))) + measure_files = np.array(data.Paths.spectrographs.joinpath("keck_deimos", "gain_ronoise").glob("*")) # Parse the dates recorded in the name of the files measure_dates = np.array([os.path.basename(f).split('.')[2] for f in measure_files]) # convert into datetime format @@ -1187,7 +1185,7 @@ def get_amapbmap(self, filename): # Grating slider slider = hdu[0].header['GRATEPOS'] - mp_dir = os.path.join(data.Paths.static_calibs, 'keck_deimos') + mp_dir = data.Paths.static_calibs.joinpath('keck_deimos') if slider in [3,4]: self.amap = fits.getdata(os.path.join(mp_dir, f'amap.s{slider}.2003mar04.fits')) diff --git a/pypeit/spectrographs/keck_hires.py b/pypeit/spectrographs/keck_hires.py index 3eb85753a0..8b2f77c0de 100644 --- a/pypeit/spectrographs/keck_hires.py +++ b/pypeit/spectrographs/keck_hires.py @@ -12,8 +12,6 @@ import numpy as np from scipy.io import readsav -from pkg_resources import resource_filename - from astropy.table import Table from pypeit import msgs diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index 59cb8d0b5d..eb28a5af41 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -5,9 +5,8 @@ """ import glob import os -from IPython import embed -from pkg_resources import resource_filename +from IPython import embed import numpy as np @@ -1372,14 +1371,16 @@ def get_detector_par(self, det, hdu=None): amp_mode = hdu[0].header['AMPMODE'] msgs.info("AMPMODE = {:s}".format(amp_mode)) # Load up translation dict - ampmode_translate_file = os.path.join(data.Paths.data, 'spectrographs', + ampmode_translate_file = data.Paths.data.joinpath('spectrographs', 'keck_lris_red_mark4', 'dict_for_ampmode.json') ampmode_translate_dict = ltu.loadjson(ampmode_translate_file) # Load up the corrected header swap_binning = f"{binning[-1]},{binning[0]}" # LRIS convention is oppopsite ours - header_file = os.path.join(data.Paths.data, 'spectrographs', + header_file = data.Paths.data.joinpath( + 'spectrographs', 'keck_lris_red_mark4', - f'header{ampmode_translate_dict[amp_mode]}_{swap_binning.replace(",","_")}.fits') + f'header{ampmode_translate_dict[amp_mode]}_{swap_binning.replace(",","_")}.fits' + ) correct_header = fits.getheader(header_file) else: correct_header = hdu[0].header diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index ff936bb267..8af6a0750d 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -3,8 +3,6 @@ .. include:: ../include/links.rst """ -import os - import numpy as np from astropy.coordinates import SkyCoord @@ -436,7 +434,7 @@ def bpm(self, filename, det, shape=None, msbias=None): bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) if det == 1: - bpm_dir = os.path.join(data.Paths.static_calibs, 'vlt_xshoooter') + bpm_dir = data.Paths.static_calibs.joinpath('vlt_xshoooter') try : bpm_loc = np.loadtxt(os.path.join(bpm_dir, 'BP_MAP_RP_NIR.dat'), usecols=(0,1)) diff --git a/pypeit/tests/test_flexure.py b/pypeit/tests/test_flexure.py index c8d6d872f8..fcbf09603f 100644 --- a/pypeit/tests/test_flexure.py +++ b/pypeit/tests/test_flexure.py @@ -1,15 +1,12 @@ """ Module to run tests on simple fitting routines for arrays """ -import os - -import pytest import numpy as np from linetools.spectra.io import readspec -from pypeit.core import flexure, arc +from pypeit.core import flexure from pypeit import data from pypeit.core.wavecal import autoid @@ -22,8 +19,8 @@ def test_flex_shift(): # Dummy slf # Read spectra obj_spec = readspec(data_path('obj_lrisb_600_sky.fits')) - arx_file = os.path.join(data.Paths.sky_spec, 'sky_LRISb_600.fits') - arx_spec = readspec(arx_file) + arx_file = data.Paths.sky_spec.joinpath('sky_LRISb_600.fits') + arx_spec = readspec(str(arx_file)) arx_fwhm_pix = autoid.measure_fwhm(arx_spec.flux.value, sigdetect=4., fwhm=4.) # Call diff --git a/pypeit/tests/test_pkgdata.py b/pypeit/tests/test_pkgdata.py index 4b7831b7c9..b850c88a0e 100644 --- a/pypeit/tests/test_pkgdata.py +++ b/pypeit/tests/test_pkgdata.py @@ -2,7 +2,6 @@ Module to test the various routines in `pypeit.data.utils` """ -import os import requests from linetools.spectra import xspectrum1d @@ -46,12 +45,12 @@ def test_filepath_routines(): # reid_arxiv (returns tuple): filepath, _ = data.get_reid_arxiv_filepath("keck_deimos_600ZD.fits") - assert os.path.isfile(filepath) + assert filepath.is_file() # others (return just the filepath): - assert os.path.isfile(data.get_skisim_filepath("mktrans_zm_10_10.dat")) - assert os.path.isfile(data.get_sensfunc_filepath("keck_deimos_600ZD_sensfunc.fits")) - assert os.path.isfile(data.get_linelist_filepath("ArI_lines.dat")) + assert data.get_skisim_filepath("mktrans_zm_10_10.dat").is_file() + assert data.get_sensfunc_filepath("keck_deimos_600ZD_sensfunc.fits").is_file() + assert data.get_linelist_filepath("ArI_lines.dat").is_file() def test_load_sky_spectrum(): @@ -67,9 +66,9 @@ def test_search_cache(): assert data.search_cache('junkymcjunkface.txt') == [] # Place a file in the cache, and retrieve it - data.write_file_to_cache(os.path.join(data.Paths.linelist, 'ArI_lines.dat'), + data.write_file_to_cache(data.Paths.linelist.joinpath('ArI_lines.dat'), 'totally_special_argon_lines.dat', 'arc_lines/reid_arxiv') - assert os.path.isfile(data.search_cache('totally_special')[0]) + assert data.search_cache('totally_special')[0].is_file() def test_waveio_load_reid_arxiv(): diff --git a/pypeit/tests/test_runpypeit.py b/pypeit/tests/test_runpypeit.py index 7cba5f4da1..55b526bb17 100644 --- a/pypeit/tests/test_runpypeit.py +++ b/pypeit/tests/test_runpypeit.py @@ -2,17 +2,10 @@ Module to do a full run of PypeIt on good ole Kastb """ import os -import sys import glob import shutil from IPython.terminal.embed import embed -from configobj import ConfigObj - -import pytest - -import numpy as np - import matplotlib matplotlib.use('agg') @@ -22,7 +15,6 @@ from pypeit import specobjs from pypeit.par import pypeitpar - def test_run_pypeit(): # Just get a few files @@ -35,7 +27,7 @@ def test_run_pypeit(): shutil.rmtree(outdir) # Run the setup - sargs = Setup.parse_args(['-r', testrawdir+'b', '-s', + sargs = Setup.parse_args(['-r', os.path.join(testrawdir,'b'), '-s', 'shane_kast_blue', '-c all', '-o', '--output_path', outdir]) Setup.main(sargs) diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index 3cdf1e5376..40f4fa3bbf 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -1,9 +1,10 @@ """ Odds and ends in support of tests """ +import glob import os +import pathlib import pytest -import glob from IPython import embed @@ -27,14 +28,16 @@ # reason='test requires dev suite') # Tests require the Cooked data -cooked_required = pytest.mark.skipif(os.getenv('PYPEIT_DEV') is None or - not os.path.isdir(os.path.join(os.getenv('PYPEIT_DEV'), 'Cooked')), - reason='no dev-suite cooked directory') +cooked_required = pytest.mark.skipif( + os.getenv('PYPEIT_DEV') is None + or not pathlib.Path(os.getenv('PYPEIT_DEV')).joinpath('Cooked').is_dir(), + reason='no dev-suite cooked directory' +) # Tests require the Telluric file (Mauna Kea) par = Spectrograph.default_pypeit_par() -tell_test_grid = os.path.join(data.Paths.telgrid, 'TelFit_MaunaKea_3100_26100_R20000.fits') -telluric_required = pytest.mark.skipif(not os.path.isfile(tell_test_grid), +tell_test_grid = data.Paths.telgrid.joinpath('TelFit_MaunaKea_3100_26100_R20000.fits') +telluric_required = pytest.mark.skipif(not tell_test_grid.is_file(), reason='no Mauna Kea telluric file') # Tests require the bspline c extension @@ -49,8 +52,8 @@ def data_path(filename): - data_dir = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'files') - return os.path.join(data_dir, filename) + data_dir = pathlib.Path(__file__).parent.absolute().joinpath('files') + return str(data_dir.joinpath(filename).resolve()) def get_kastb_detector(): diff --git a/pypeit/utils.py b/pypeit/utils.py index 72698e1a4d..7e0ea70c31 100644 --- a/pypeit/utils.py +++ b/pypeit/utils.py @@ -8,19 +8,19 @@ import os import inspect import pickle +import pathlib import itertools -from glob import glob -from typing import List +import glob from IPython import embed import numpy as np from numpy.lib.stride_tricks import as_strided -from scipy import ndimage +import scipy.ndimage import matplotlib -from matplotlib import pyplot as plt +import matplotlib.pyplot as plt from astropy import units from astropy import stats @@ -421,11 +421,11 @@ def boxcar_smooth_rows(img, nave, wgt=None, mode='nearest', replace='original'): if wgt is None: # No weights so just smooth - return ndimage.convolve(img, kernel, mode='nearest') + return scipy.ndimage.convolve(img, kernel, mode='nearest') # Weighted smoothing - cimg = ndimage.convolve(img*wgt, kernel, mode='nearest') - wimg = ndimage.convolve(wgt, kernel, mode='nearest') + cimg = scipy.ndimage.convolve(img*wgt, kernel, mode='nearest') + wimg = scipy.ndimage.convolve(wgt, kernel, mode='nearest') smoothed_img = np.ma.divide(cimg, wimg) if replace == 'original': smoothed_img[smoothed_img.mask] = img[smoothed_img.mask] @@ -630,7 +630,7 @@ def fast_running_median(seq, window_size): The input is extended by reflecting about the edge of the last pixel. This code has been confirmed to produce identical results to - scipy.ndimage.filters.median_filter with the reflect boundary + scipy.ndimage.median_filter with the reflect boundary condition, but is ~ 100 times faster. Args: @@ -641,7 +641,7 @@ def fast_running_median(seq, window_size): ndarray: median filtered values Code originally contributed by Peter Otten, made to be consistent with - scipy.ndimage.filters.median_filter by Joe Hennawi. + scipy.ndimage.median_filter by Joe Hennawi. Now makes use of the Bottleneck library https://pypi.org/project/Bottleneck/. """ @@ -660,7 +660,7 @@ def fast_running_median(seq, window_size): result = move_median.move_median(seq_pad, window_size) # This takes care of the offset produced by the original code deducec by trial and error comparison with - # scipy.ndimage.filters.medfilt + # scipy.ndimage.medfilt result = np.roll(result, -window_size//2 + 1) return result[window_size:-window_size] @@ -1311,27 +1311,27 @@ def is_float(s): return True -def find_single_file(file_pattern): +def find_single_file(file_pattern) -> pathlib.Path: """Find a single file matching a wildcard pattern. Args: file_pattern (str): A filename pattern, see the python 'glob' module. Returns: - str: A file name, or None if no filename was found. This will give a warning + :obj:`pathlib.Path`: A file name, or None if no filename was found. This will give a warning if multiple files are found and return the first one. """ - files = glob(file_pattern) + files = glob.glob(file_pattern) if len(files) == 1: - return files[0] + return pathlib.Path(files[0]) elif len(files) == 0: return None else: msgs.warn(f'Found multiple files matching {file_pattern}; using the first one.') - return files[0] + return pathlib.Path(files[0]) -def DFS(v: int, visited: List[bool], group: List[int], adj: np.ndarray): +def DFS(v: int, visited: list[bool], group: list[int], adj: np.ndarray): """ Depth-First Search of graph given by matrix `adj` starting from `v`. Updates `visited` and `group`. diff --git a/setup.cfg b/setup.cfg index 61b3e23944..2448119834 100644 --- a/setup.cfg +++ b/setup.cfg @@ -28,21 +28,21 @@ classifiers = zip_safe = False use_2to3=False packages = find: -python_requires = >=3.8,<3.11 +python_requires = >=3.9,<3.11 setup_requires = setuptools_scm include_package_data = True install_requires = - numpy>=1.20 + numpy>=1.21 astropy>=4.3 extension-helpers>=0.1 packaging>=0.19 - scipy>=1.6 + scipy>=1.7 matplotlib>=3.3 PyYAML>=5.1 configobj>=5.0.6 scikit-learn>=1.0 IPython>=7.10.0 - ginga>=3.0 + ginga>=3.2 linetools qtpy>=1.9 pygithub From 2038072cb7180ce547d2560c95d5090c190d9a4a Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 23 Mar 2023 13:12:41 -0700 Subject: [PATCH 088/308] Doc update / remove 3.8 from `tox` modified: doc/include/dependencies_table.rst modified: tox.ini --- doc/include/dependencies_table.rst | 4 ++-- tox.ini | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/include/dependencies_table.rst b/doc/include/dependencies_table.rst index 7c8f027e1a..00bbb8c9c5 100644 --- a/doc/include/dependencies_table.rst +++ b/doc/include/dependencies_table.rst @@ -1,5 +1,5 @@ ======================= ====================================================================================================================================================================================================================================================================================== -Python Version ``>=3.8,<3.11`` -Required for users ``IPython>=7.10.0``, ``PyYAML>=5.1``, ``astropy>=4.3``, ``bottleneck``, ``configobj>=5.0.6``, ``extension-helpers>=0.1``, ``ginga>=3.0``, ``linetools``, ``matplotlib>=3.3``, ``numpy>=1.20``, ``packaging>=0.19``, ``pygithub``, ``qtpy>=1.9``, ``scikit-learn>=1.0``, ``scipy>=1.6`` +Python Version ``>=3.9,<3.11`` +Required for users ``IPython>=7.10.0``, ``PyYAML>=5.1``, ``astropy>=4.3``, ``bottleneck``, ``configobj>=5.0.6``, ``extension-helpers>=0.1``, ``ginga>=3.2``, ``linetools``, ``matplotlib>=3.3``, ``numpy>=1.21``, ``packaging>=0.19``, ``pygithub``, ``qtpy>=1.9``, ``scikit-learn>=1.0``, ``scipy>=1.7`` Required for developers ``codecov``, ``coverage``, ``docutils<0.18``, ``pytest-astropy``, ``pytest-cov``, ``pytest>=6.0.0``, ``sphinx-automodapi``, ``sphinx<6,>=1.6``, ``sphinx_rtd_theme==1.1.1``, ``tox`` ======================= ====================================================================================================================================================================================================================================================================================== diff --git a/tox.ini b/tox.ini index b0ef727a23..0efeaaac7d 100644 --- a/tox.ini +++ b/tox.ini @@ -1,9 +1,9 @@ [tox] envlist = - py{38,39,310,311}-test{,-alldeps,-pyside2,-pyqt5,-shapely}{,-cov} - py{38,39,310,311}-test-numpy{120,121,122,123} - py{38,39,310,311}-test-astropylts - py{38,39,310,311}-test-{numpy,astropy,linetools,ginga}dev + py{39,310,311}-test{,-alldeps,-pyside2,-pyqt5,-shapely}{,-cov} + py{39,310,311}-test-numpy{120,121,122,123} + py{39,310,311}-test-astropylts + py{39,310,311}-test-{numpy,astropy,linetools,ginga}dev codestyle requires = setuptools >= 30.3.0 From 98adbe51a442fd95b23a969f368cc4c984620051 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 23 Mar 2023 13:51:03 -0700 Subject: [PATCH 089/308] through skyregions --- pypeit/calibframe.py | 13 +- pypeit/core/gui/skysub_regions.py | 3 +- pypeit/edgetrace.py | 341 ++---------------------------- pypeit/find_objects.py | 277 +++++++----------------- pypeit/io.py | 32 +++ pypeit/par/pypeitpar.py | 24 +-- pypeit/pypeit.py | 105 +++++++-- pypeit/scripts/skysub_regions.py | 6 +- 8 files changed, 251 insertions(+), 550 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index 2c876ae936..9f9399aa9d 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -87,7 +87,7 @@ def set_paths(self, odir, setup, calib_id, detname): Set the internals necessary to construct the IO path for the calibration file. - Nothing is returned; this function is used to set :attr:`calib_dir` and + Nothing is returned; this function is used to set :attr:`calib_dir`, :attr:`calib_id`, and :attr:`calib_key`. Args: @@ -115,6 +115,17 @@ def set_paths(self, odir, setup, calib_id, detname): self.calib_id = CalibFrame.ingest_calib_id(calib_id) self.calib_key = self.construct_calib_key(setup, self.calib_id, detname) + def copy_calib_keys(self, other): + """ + Copy the key internals from this :class:`CalibFrame` to another. + + Args: + other (:class:`CalibFrame`): + Object to copy from. + """ + for n in CalibFrame.internals: + setattr(self, n, getattr(other, n)) + # NOTE: Only need to overload to_file because the only thing special about # CalibFrame is that the paths are pre-defined. # TODO: Allow the file path to be passed directly to this function? diff --git a/pypeit/core/gui/skysub_regions.py b/pypeit/core/gui/skysub_regions.py index 940de373c0..57e3a1bae8 100644 --- a/pypeit/core/gui/skysub_regions.py +++ b/pypeit/core/gui/skysub_regions.py @@ -29,7 +29,7 @@ }) -class SkySubGUI(object): +class SkySubGUI: """ GUI to interactively define the sky regions. The GUI can be run within PypeIt during data reduction, or as a standalone script outside of @@ -678,3 +678,4 @@ def reset_regions(self): """ self._skyreg = [np.zeros(self._resolution, dtype=np.bool) for all in range(self._nslits)] self._allreg[:] = False + diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index a79b5d5500..96ba212f1f 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -228,8 +228,8 @@ class EdgeTraceSet(calibframe.CalibFrame): value of `auto`. To automatically have the instantiation save the results, set `save=True` on instantiation. - To load an existing master file with the result of a trace, - use the :attr:`from_file` method:: + To load an existing calibration file with the result of a trace, use the + :attr:`from_file` method:: edges = EdgeTraceSet.from_file(file) @@ -436,8 +436,7 @@ class EdgeTraceSet(calibframe.CalibFrame): datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'dispname': dict(otype=str, - descr='Spectrograph disperser name. Primarily needed for ' - 'reloading an existing MasterEdge file.'), + descr='Spectrograph disperser name.'), 'traceimg': dict(otype=TraceImage, descr='Image used to construct the edge traces; see ' ':class:`~pypeit.images.buildimage.TraceImage` and ' @@ -518,9 +517,7 @@ def __init__(self, traceimg, spectrograph, par, qa_path=None, auto=False, debug= # matched to traced slits # Inherit the calibration frame attributes from the trace image: - self.calib_id = self.traceimg.calib_id - self.calib_key = self.traceimg.calib_key - self.calib_dir = self.traceimg.calib_dir + self.copy_calib_keys(self.traceimg) # NOTE: This means that, no matter what, every instance of # EdgeTraceSet should have a sobelsig attribute that is *not* @@ -1295,7 +1292,7 @@ def from_hdu(cls, hdu, hdu_prefix=None, chk_version=True): hdr_bitmask = BitMask.from_header(hdu['SOBELSIG'].header) if chk_version and hdr_bitmask.bits != self.bitmask.bits: msgs.error('The bitmask in this fits file appear to be out of date! Recreate this ' - 'master frame either by rerunning run_pypeit or pypeit_trace_edges.') + 'file either by rerunning run_pypeit or pypeit_trace_edges.') return self @@ -4704,304 +4701,6 @@ def _fill_objects_table(self, maskdef_id): self.objects['TRACEID'] = utils.index_of_x_eq_y(self.objects['MASKDEF_ID'], self.design['MASKDEF_ID'], strict=True) -# NOTE: I'd like us to keep this commented mask_refine function around -# for the time being. - # def mask_refine(self, design_file=None, allow_resync=False, debug=False): - # """ - # Use the mask design data to refine the edge trace positions. - # - # Use of this method requires: - # - a PCA decomposition is available, - # - the traces are synchronized into left-right pairs, and - # - :attr:`spectrograph` has a viable `get_slitmask` method - # to read slit mask design data from a file. That file is - # either provided directly or pulled from one of the - # files used to construct the trace image; see - # `design_file`. The result of the `get_slitmask` method - # must provide a - # :class:`pypeit.spectrographs.slitmask.SlitMask` object - # with the slit-mask design data. - # - # TODO: Traces don't need to be synchronized... - # - # Also useful, but not required, is for :attr:`spectrograph` to - # have a viable `get_detector_map` method that provides a - # :class:`pypeit.spectrograph.opticalmodel.DetectorMap` object, - # which is used to provide a guess offset between the slit-mask - # focal-plane positions and the trace pixel positions. If no - # such `get_detector_method` exists, the guess offset is:: - # - # this - # - # and the match between expected and traced slit positions may - # be unstable. - # - # The method uses - # :class:`pypeit.spectrographs.slitmask.SlitRegister` to match - # the expected and traced position and identify both missing - # and erroneous trace locations. The former are used to add new - # traces and the latter are removed. The method also constructs - # the :attr:`design` and :attr:`objects` tables, depending on - # the data accessible via the - # :class:`pypeit.spectrographs.slitmask.SlitMask` instance. - # - # Used parameters from :attr:`par` - # (:class:`pypeit.par.pypeitpar.EdgeTracePar`) are - # `left_right_pca`, `mask_reg_maxiter`, `mask_reg_maxsep`, - # `mask_reg_sigrej`, and `ignore_alignment`. - # - # Args: - # design_file (:obj:`str`, optional): - # A file with the mask design data. If None, the method - # will use the first file in :attr:`files`; if - # :attr:`files` is also None, the method will raise an - # exception. - # debug (:obj:`bool`, optional): - # Run in debug mode. - # """ - # # Still not done with this function... - # raise NotImplementedError() - # - # # Check that there are traces to refine! - # if self.is_empty: - # msgs.error('No traces to refine.') - # - # # The PCA decomposition must have already been determined - # if self.pcatype is None: - # msgs.error('Must first run the PCA analysis for the traces; run build_pca.') - # - # # Get the file to use when parsing the mask design information - # _design_file = (None if self.traceimg.files is None else self.traceimg.files[0]) \ - # if design_file is None else design_file - # if _design_file is None or not os.path.isfile(_design_file): - # msgs.error('Slit-mask design file not found or none provided.') - # - # # Get the paramters to use - # maxiter = self.par['mask_reg_maxiter'] - # maxsep = self.par['mask_reg_maxsep'] - # sigma = self.par['mask_reg_sigrej'] - # ignore_alignment = self.par['ignore_alignment'] - # - # # TODO: Set allow_resync and design_file to be a parameters, as - # # well? - # - # # Read the design data - # msgs.info('Reading slit-mask design information from: {0}'.format(_design_file)) - # if self.spectrograph.get_slitmask(_design_file) is None: - # msgs.error('Unable to read design file or no slit-mask design reader ' - # 'defined for {0}.'.format(self.spectrograph.spectrograph)) - # - # # Match both left and right edges simultaneously - # x_design = np.array([self.spectrograph.slitmask.bottom[:, 0], - # self.spectrograph.slitmask.top[:, 0]]).T.ravel() - # reference_row = self.left_pca.reference_row if self.par['left_right_pca'] \ - # else self.pca.reference_row - # x_det = self.edge_fit[reference_row, :] - # - # # Mask traces that are fully masked, except if they were - # # specifically inserted in a previous step - # # TODO: Should the BOXSLITS also be included here? - # x_det_bpm = self.fully_masked_traces(flag=self.bitmask.bad_flags, - # exclude=self.bitmask.insert_flags) - # - # # x_design = np.amin(self.spectrograph.slitmask.corners[:,:,0], axis=1) - # # side = self.traceid < 0 - # # x_det = self.edge_fit[self.pca.reference_row,side] - # - # # x_design = np.amax(self.spectrograph.slitmask.corners[:,:,0], axis=1) - # # side = self.traceid > 0 - # # x_det = self.edge_fit[self.pca.reference_row,side] - # - # # Estimate the scale in pixels/mm as the telescope platescale - # # in arcsec/mm divided by the detector platescale in - # # arcsec/pixel - # pix_per_mm = self.spectrograph.telescope.platescale() \ - # / self.traceimg.detector['platescale'] - # # / self.spectrograph.detector[self.det - 1]['platescale'] - # - # # If the traces are synchronized, use the estimated scale to - # # first mask edges that yeild slits that are too small relative - # # to the range of slit lengths in the mask file. - # if self.is_synced: - # slit_len_det = np.diff(x_det.reshape(-1, 2), axis=1).ravel() - # slit_len_mask = np.diff(x_design.reshape(-1, 2), axis=1).ravel() * pix_per_mm - # indx = (slit_len_det < np.amin(slit_len_mask) / 1.1) \ - # | (slit_len_det > np.amax(slit_len_mask) * 1.1) - # if np.any(indx): - # msgs.info('Removing {0} edges that form (an) '.format(np.sum(indx) * 2) - # + 'errantly small or large slit(s) compared to the mask design data.') - # x_det_bpm[np.repeat(indx, 2)] = True - # - # # Initial guess for the offset - # try: - # raise NotImplementedError() - # # Try using the spectrograph detector map - # self.spectrograph.get_detector_map() - # # Set the offset based on the location of this detector - # offset = self.spectrograph.detector_map.image_coordinates( - # self.spectrograph.detector_map.npix[0] / 2, - # self.spectrograph.detector_map.npix[1] / 2, - # detector=self.traceimg.detector.det, - # in_mm=False)[0][0] - self.spectrograph.detector_map.npix[0] / 2 - # # Set the bounds to some nominal fraction of the detector - # # size and pix/mm scale; allow for a +/- 10% deviation in - # # the pixel scale - # # TODO: Is 10% generally enough (for any instrument)? Make - # # this a (spectrograph-specific) parameter? - # offset_rng = [offset - 0.1 * self.spectrograph.detector_map.npix[0], - # offset + 0.1 * self.spectrograph.detector_map.npix[0]] - # except: - # # No detector map - # msgs.warn('No detector map available for {0}'.format(self.spectrograph.spectrograph) - # + '; attempting to match to slit-mask design anyway.') - # # Set the guess offset such that two sets of coordinates - # # are offset to their mean - # offset = np.mean(x_det) - np.mean(pix_per_mm * x_design) - # # Set the offset range - # offset_rng = [offset - np.absolute(np.amin(x_det) - np.amin(pix_per_mm * x_design)) * 1.1, - # offset + np.absolute(np.amax(pix_per_mm * x_design) - np.amax(x_det)) * 1.1] - # - # # import pdb - # # pdb.set_trace() - # # - # # slitmask.xc_trace(x_det, x_design, pix_per_mm) - # # - # # pdb.set_trace() - # - # # The solution can be highly dependent on the initial guess for - # # the offset, so do an initial grid search to get close to the - # # solution. - # msgs.info('Running a grid search to try to find the best starting offset.') - # # Step by 2 pixels - # off = np.arange(offset_rng[0], offset_rng[1], 2).astype(float) - # rms = np.zeros_like(off, dtype=float) - # scl = np.zeros_like(off, dtype=float) - # par = np.array([0, pix_per_mm]) - # bounds = np.array([offset_rng, [pix_per_mm / 1.1, pix_per_mm * 1.1]]) - # register = slitmask.SlitRegister(x_det, x_design, trace_mask=x_det_bpm) - # - # # NOTE: The commented approach below gets the RMS at each - # # offset point just using the estimated scale. This is faster - # # than the approach taken, but results are sensitive to the - # # accuracy of the estimated scale, which can lead to problems - # # in corner cases. - # # for i in range(off.size): - # # print('Grid point: {0}/{1}'.format(i+1, off.size), end='\r') - # # par[0] = off[i] - # # register.par = par - # # minsep = register.match(unique=True)[1] - # # rms[i] = sigma_clipped_stats(minsep, sigma=5)[2] - # # print('Grid point: {0}/{0}'.format(off.size)) - # - # # For each grid point, keep the offset fixed and find the best - # # scale. No rejection iterations are performed. - # for i in range(off.size): - # print('Grid point: {0}/{1}'.format(i + 1, off.size), end='\r') - # par[0] = off[i] - # register.find_best_match(guess=par, fix=[True, False], bounds=bounds, penalty=False) - # minsep = register.match(unique=True)[1] - # scl[i] = register.par[1] - # rms[i] = sigma_clipped_stats(minsep, sigma=5)[2] - # print('Grid point: {0}/{0}'.format(off.size)) - # - # # Use the grid point with the best RMS - # minindx = np.argmin(rms) - # offset = off[minindx] - # best_rms = rms[minindx] - # msgs.info('Minimum RMS ({0:.2f}) found with offset = {1:.2f}'.format(best_rms, offset)) - # if debug: - # # Plot the result - # ax1 = plt.subplot(211) - # ax1.scatter(off, rms, color='k', marker='.', s=100, lw=0, zorder=0) - # ax1.scatter(offset, best_rms, color='C3', marker='x', s=50, zorder=1) - # ax1.set_xlabel('Trace Offset (pix)') - # ax1.set_ylabel('RMS (det-mask; pix)') - # ax1.set_title('Grid search for initial offset') - # ax2 = plt.subplot(212, sharex=ax1) - # ax2.scatter(off, scl, color='k', marker='.', s=100, lw=0, zorder=0) - # ax2.set_ylabel('Best-fit scale') - # plt.show() - # - # # Do the final fit with some rejection iterations - # register.find_best_match(guess=[offset, pix_per_mm], bounds=bounds, penalty=False, - # maxiter=maxiter, maxsep=maxsep, sigma=sigma, debug=debug) - # - # if debug: - # register.show(minmax=[0, self.nspat], synced=True) - # - # # Find the missing, bad, and masked traces - # missing, bad = register.trace_mismatch(minmax=[0, self.nspat], synced=True) - # # masked_by_registration = np.where(register.trace_mask & np.invert(x_det_bpm))[0] - # # bad = np.append(bad, masked_by_registration) - # bad = np.append(bad, np.where(register.trace_mask | x_det_bpm)[0]) - # - # # Ignore missing alignment boxes - # if ignore_alignment: - # missing = missing[np.invert(self.spectrograph.slitmask.alignment_slit[missing // 2])] - # found_alignment_slits = register.match_index[ - # self.spectrograph.slitmask.alignment_slit[register.match_index // 2]] - # bad = np.append(bad, found_alignment_slits) - # - # # Report - # msgs.info('Best-fitting offset and scale for mask coordinates: {0:.2f} {1:.2f}'.format( - # *register.par)) - # msgs.info('Traces will {0} alignment slits'.format('exclude' if ignore_alignment - # else 'include')) - # msgs.info('Number of missing mask traces to insert: {0}'.format(len(missing))) - # msgs.info('Number of bad or alignment traces to remove: {0}'.format(len(bad))) - # - # if self.is_synced and (len(missing) - len(bad)) % 2 != 0: - # if allow_resync: - # msgs.warning('Difference in added and removed traces is odd; will resync traces.') - # else: - # msgs.error('Difference in added and removed traces desyncronizes traces.') - # - # if len(bad) > 0: - # # Remove the bad traces and rebuild the pca - # rmtrace = np.zeros(self.ntrace, dtype=bool) - # rmtrace[bad] = True - # self.remove_traces(rmtrace, rebuild_pca=True) - # - # if len(missing) > 0: - # # Even indices are lefts, odd indices are rights - # side = missing % 2 * 2 - 1 - # # Predict the traces using the PCA - # missing_traces = self.predict_traces(register.match_coo[missing], side) - # # Insert them - # self.insert_traces(side, missing_traces, mode='mask') - # - # # import pdb - # # pdb.set_trace() - # - # if len(bad) > 0 or len(missing) > 0: - # # Traces were removed and/or inserted, resync or recheck that the edges are synced. - # if (len(missing) - len(bad)) % 2 != 0 and allow_resync: - # self.sync(rebuild_pca=True) - # else: - # self.check_synced(rebuild_pca=True) - # reference_row = self.left_pca.reference_row if self.par['left_right_pca'] \ - # else self.pca.reference_row - # # Reset the match after removing/inserting traces - # x_det = self.edge_fit[reference_row, :] - # # TODO: Should the BOXSLITS also be included here? - # x_det_bpm = self.fully_masked_traces(flag=self.bitmask.bad_flags, - # exclude=self.bitmask.insert_flags) - # register = slitmask.SlitRegister(x_det, x_design, trace_mask=x_det_bpm, - # guess=[offset, pix_per_mm], bounds=bounds, - # penalty=False, maxiter=maxiter, maxsep=maxsep, - # sigma=sigma, debug=debug, fit=True) - # - # # TODO: This fit should *never* result in missing or bad - # # traces! Keep this for a while until we feel like we've - # # vetted the code well enough. - # missing, bad = register.trace_mismatch(minmax=[0, self.nspat], synced=True) - # if len(missing) != 0 or len(bad) != 0: - # msgs.error('CODING ERROR: Should never find missing or bad traces in re-fit!') - # - # # Fill the slit-design and object tables - # self._fill_design_table(register, _design_file) - # self._fill_objects_table(register) - def slit_spatial_center(self, normalized=True, spec=None, use_center=False, include_box=False): """ @@ -5183,14 +4882,12 @@ def get_slits(self): The traced edges must have first been organized into slits; see :func:`sync`. - The method automatically calls :func:`match_order` and will - only include the "slits" that have been correctly matched to - known orders. + For fixed-format echelle spectrographs, the method automatically calls + :func:`match_order` and will only include the "slits" that have been + correctly matched to known orders. - The :class:`~pypeit.slittrace.SlitTraceSet` object will use - the same :attr:`master_key`, :attr:`master_dir`, and - :attr:`reuse_masters` as this parent :class:`EdgeTraceSet` - object. + The :class:`~pypeit.slittrace.SlitTraceSet` object will use calibration + naming keys used by this parent :class:`EdgeTraceSet` object. The :class:`~pypeit.slittrace.SlitTraceSet` object will have an `astropy.table.Table`_ resulted from merging :attr:`design` @@ -5277,13 +4974,15 @@ def get_slits(self): _posx_pa = None # Instantiate and return - return slittrace.SlitTraceSet(left, right, self.spectrograph.pypeline, - detname=self.traceimg.detector.name, nspat=self.nspat, - PYP_SPEC=self.spectrograph.name, specmin=specmin, - specmax=specmax, binspec=binspec, binspat=binspat, - pad=self.par['pad'], mask_init=slit_msk, - maskdef_id=_maskdef_id, maskdef_designtab=_merged_designtab, - maskdef_posx_pa=_posx_pa, maskfile=self.maskfile, - ech_order=ech_order) + slits = slittrace.SlitTraceSet(left, right, self.spectrograph.pypeline, + detname=self.traceimg.detector.name, nspat=self.nspat, + PYP_SPEC=self.spectrograph.name, specmin=specmin, + specmax=specmax, binspec=binspec, binspat=binspat, + pad=self.par['pad'], mask_init=slit_msk, + maskdef_id=_maskdef_id, maskdef_designtab=_merged_designtab, + maskdef_posx_pa=_posx_pa, maskfile=self.maskfile, + ech_order=ech_order) + # Copy the CalibFrame internals (also identical to the self.traceimg internals) + slits.copy_calib_keys(self) diff --git a/pypeit/find_objects.py b/pypeit/find_objects.py index 6f187d294a..c87e4ed845 100644 --- a/pypeit/find_objects.py +++ b/pypeit/find_objects.py @@ -28,23 +28,51 @@ class FindObjects: """ - This class will organize and run actions related to - finding objects, global sky subtraction, and skymask construction for - a Science or Standard star exposure + Base class used to find objects and perform global sky subtraction for + science or standard-star exposures. Args: - sciImg (:class:`~pypeit.images.pypeitimage.PypeItImage`): + sciImg (:class:`~pypeit.images.scienceimage.ScienceImage`): Image to reduce. + slits (:class:`~pypeit.slittrace.SlitTracSet`): + Object providing slit traces for the image to reduce. spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): - par (:class:`~pypeit.par.pypeitpar.PypeItPar`): + PypeIt Sspectrograph class + par (:class:`~pypeit.par.pyepeitpar.PypeItPar`): + Reduction parameters class objtype (:obj:`str`): - Specifies object being reduced 'science' 'standard' 'science_coadd2d' + Specifies object being reduced. Should be 'science', + 'standard', or 'science_coadd2d'. + wv_calib (:class:`~pypeit.wavetilts.WaveCalib`, optional): + This is only used for the IFU child when a joint sky subtraction + is requested. + waveTilts (:class:`~pypeit.wavetilts.WaveTilts`, optional): + Calibration frame with arc/sky line tracing of the wavelength + tilt. Only waveTilts or tilts is needed (not both). + tilts (`numpy.ndarray`_, optional): + Tilts frame produced by + :func:`~pypeit.wavetilts.WaveTilts.fit2tiltimg` for given a + spatial flexure. Only waveTilts or tilts is needed (not both). + initial_skymask (`numpy.ndarray`_, optional): + Boolean array that selects (array elements are True) image + pixels in sky regions. If provided, the 2nd pass on the global + sky subtraction is omitted. bkg_redux (:obj:`bool`, optional): If True, the sciImg has been subtracted by a background image (e.g. standard treatment in the IR) + find_negative (:obj:`bool`, optional): + If True, the negative objects are found + std_redux (:obj:`bool`, optional): + If True the object being extracted is a standards star + so that the reduction parameters can be adjusted accordingly. show (:obj:`bool`, optional): - Show plots along the way? + Show plots along the way? + clear_ginga (:obj:`bool`, optional): + Clear the ginga window before showing the object finding results. + basename (:obj:`str`, optional): + Base name for output files manual (:class:`~pypeit.manual_extract.ManualExtractObj`, optional): + Object containing manual extraction instructions/parameters. Attributes: ivarmodel (`numpy.ndarray`_): @@ -85,69 +113,25 @@ class FindObjects: # Superclass factory method generates the subclass instance @classmethod - def get_instance(cls, sciImg, slits, spectrograph, par, objtype, wv_calib=None, waveTilts=None, tilts=None, sky_region_file=None, - bkg_redux=False, find_negative=False, std_redux=False, show=False, clear_ginga=True, - basename=None, manual=None): + def get_instance(cls, sciImg, slits, spectrograph, par, objtype, wv_calib=None, waveTilts=None, + tilts=None, initial_skymask=None, bkg_redux=False, find_negative=False, + std_redux=False, show=False, clear_ginga=True, basename=None, manual=None): """ - Instantiate the Reduce subclass appropriate for the provided - spectrograph. + Instantiate and return the :class:`FindObjects` subclass appropriate for + the provided spectrograph. - The class must be subclassed from Reduce. See :class:`Reduce` for - the description of the valid keyword arguments. - - Args: - sciImg (:class:`~pypeit.images.scienceimage.ScienceImage`): - Image to reduce. - spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): - PypeIt Sspectrograph class - par (:class:`~pypeit.par.pyepeitpar.PypeItPar`): - Reduction parameters class - objtype (:obj:`str`): - Specifies object being reduced 'science' 'standard' - 'science_coadd2d'. This is used only to determine the - spat_flexure_shift and ech_order for coadd2d. - wv_calib (:class:`~pypeit.wavetilts.WaveCalib`, optional): - This is only used for the IFU child when a joint sky subtraction - is requested. This is the waveCalib object which is optional, - but either wv_calib or waveimg must be provided. - waveTilts (:class:`pypeit.wavetilts.WaveTilts`, optional): - DataContainer with arc/sky line tracing of the wavelength tilt - Only waveTilts or tilts is needed (not both) - tilts (`numpy.ndarray`_, optional): - Tilts frame produced by waveTilts.fit2tiltimg() for given a spatial flexure. - Only waveTilts or tilts is needed (not both) - sky_region_file (str, optional): - Name fo the Master sky region file created by the user - bkg_redux (:obj:`bool`, optional): - If True, the sciImg has been subtracted by - a background image (e.g. standard treatment in the IR) - find_negative (:obj:`bool`, optional): - If True, the negative objects are found - std_redux (:obj:`bool`, optional): - If True the object being extracted is a standards star - so that the reduction parameters can be adjusted accordingly. - manual (:class:`~pypeit.manual_extract.ManualExtractObj`, optional): - Class with info guiding the manual extraction - basename (str, optional): - Output filename used for spectral flexure QA - show (:obj:`bool`, optional): - Show plots along the way? - **kwargs - Passed to Parent init - - Returns: - :class:`~pypeit.find_objects.FindObjects`: Object finding class. + For argument descriptions, see :class:`FindObjects`. """ return next(c for c in utils.all_subclasses(FindObjects) if c.__name__ == (spectrograph.pypeline + 'FindObjects'))( - sciImg, slits, spectrograph, par, objtype, wv_calib=wv_calib, waveTilts=waveTilts, tilts=tilts, - sky_region_file=sky_region_file, bkg_redux=bkg_redux, + sciImg, slits, spectrograph, par, objtype, wv_calib=wv_calib, waveTilts=waveTilts, + tilts=tilts, initial_skymask=initial_skymask, bkg_redux=bkg_redux, find_negative=find_negative, std_redux=std_redux, show=show, clear_ginga=clear_ginga, basename=basename, manual=manual) - def __init__(self, sciImg, slits, spectrograph, par, objtype, wv_calib=None, waveTilts=None, tilts=None, - sky_region_file=None, bkg_redux=False, find_negative=False, std_redux=False, show=False, - clear_ginga=True, basename=None, manual=None): + def __init__(self, sciImg, slits, spectrograph, par, objtype, wv_calib=None, waveTilts=None, + tilts=None, initial_skymask=None, bkg_redux=False, find_negative=False, + std_redux=False, show=False, clear_ginga=True, basename=None, manual=None): # Setup the parameters sets for this object. NOTE: This uses objtype, not frametype! # Instantiation attributes for this object @@ -158,7 +142,7 @@ def __init__(self, sciImg, slits, spectrograph, par, objtype, wv_calib=None, wav self.scaleimg = np.array([1.0], dtype=float) # np.array([1]) applies no scale self.basename = basename self.manual = manual - self.sky_region_file = sky_region_file + self.initial_skymask = initial_skymask self.wv_calib = wv_calib # TODO :: Ideally, we want to avoid this if possible. Find a better way to do joint_skysub fitting outside of the find_objects class. # Parse # Slit pieces @@ -341,57 +325,43 @@ def run(self, std_trace=None, show_peaks=False, show_skysub_fit=False): show_peaks=show_peaks) return np.zeros_like(self.sciImg.image), sobjs_obj - # Check if the user wants to use a pre-defined sky regions file. - user_regions = self.par['reduce']['skysub']['user_regions'] - if user_regions == '': user_regions = None - # Check if sky regions should be loaded - load_skyreg = self.sky_region_file is not None or user_regions is not None - if load_skyreg: - skymask_init = self.load_skyregions(sky_region_file=self.sky_region_file) - # Perform a fit to the global sky model - initial_sky = self.global_skysub(skymask=skymask_init, update_crmask=False, objs_not_masked=True, - show_fit=show_skysub_fit) - # Perform object finding - sobjs_obj, self.nobj = \ - self.find_objects(self.sciImg.image - initial_sky, self.sciImg.ivar, std_trace=std_trace, - show_peaks=show_peaks, - show=self.findobj_show and not self.std_redux, - save_objfindQA=self.par['reduce']['findobj']['skip_second_find'] | self.std_redux) + # Perform a first pass sky-subtraction. The mask is either empty or + # uses the mask specified by the user. + + # TODO: Should we make this no_poly=True to have fewer degrees of freedom in + # the with with-object global sky fits?? + initial_sky0 = self.global_skysub(skymask=self.initial_skymask, update_crmask=False, + objs_not_masked=True, show_fit=show_skysub_fit) + # First pass object finding + save_objfindQA = self.par['reduce']['findobj']['skip_second_find'] | self.std_redux + sobjs_obj, self.nobj = \ + self.find_objects(self.sciImg.image-initial_sky0, self.sciImg.ivar, std_trace=std_trace, + show_peaks=show_peaks, show=self.findobj_show and not self.std_redux, + save_objfindQA=save_objfindQA) + + if self.nobj == 0 or self.initial_skymask is None: + # Either no objects were found, or the initial sky mask was provided by the user. + # Either way, don't don't redo global sky subtraction + msgs.info('Either no objecsts were found or a user-provided sky mask was used. ' + 'Skipping second pass of sky-subtraction and object finding.') + return initial_sky0, sobjs_obj + + # If objects were found, create skymask using first pass objects that + # were identified, sobjs_obj + skymask_init = self.create_skymask(sobjs_obj) + # Global sky subtract now using the skymask defined by object positions + initial_sky = self.global_skysub(skymask=skymask_init, show_fit=show_skysub_fit) + # Second pass object finding on sky-subtracted image with updated sky + # created after masking objects + if not self.std_redux and not self.par['reduce']['findobj']['skip_second_find']: + sobjs_obj, self.nobj = self.find_objects(self.sciImg.image - initial_sky, + self.sciImg.ivar, std_trace=std_trace, + show=self.findobj_show, show_peaks=show_peaks) else: - # Perform a first pass sky-subtraction without masking any objects. Should we make this no_poly=True to - # have fewer degrees of freedom in the with with-object global sky fits?? - initial_sky0 = self.global_skysub(update_crmask=False, objs_not_masked=True, - show_fit=show_skysub_fit) - # First pass object finding - sobjs_obj, self.nobj = \ - self.find_objects(self.sciImg.image-initial_sky0, self.sciImg.ivar, std_trace=std_trace, - show_peaks=show_peaks, - show=self.findobj_show and not self.std_redux, - save_objfindQA=self.par['reduce']['findobj']['skip_second_find'] | self.std_redux) - - if self.nobj == 0: - # If no objects were found don't redo global sky subtraction - initial_sky = initial_sky0 - msgs.info("No objects identified, skipping second pass of sky-subtraction and object finding") - else: - # If objects were found, create skymask using first pass objects that were identified, sobjs_obj - skymask_init = self.create_skymask(sobjs_obj) - # Global sky subtract now using the skymask defined by object positions - initial_sky = self.global_skysub(skymask=skymask_init, show_fit=show_skysub_fit) - # Second pass object finding on sky-subtracted image with updated sky created after masking objects - if (not self.std_redux) and (not self.par['reduce']['findobj']['skip_second_find']): - sobjs_obj, self.nobj = self.find_objects(self.sciImg.image - initial_sky, self.sciImg.ivar, - std_trace=std_trace, show=self.findobj_show, - show_peaks=show_peaks) - else: - msgs.info("Skipping 2nd run of finding objects") - + msgs.info("Skipping 2nd run of finding objects") # TODO I think the final global should go here as well from the pypeit.py class lines 837 - return initial_sky, sobjs_obj - - def find_objects(self, image, ivar, std_trace=None, show_peaks=False, show_fits=False, show_trace=False, show=False, save_objfindQA=True, @@ -610,78 +580,9 @@ def global_skysub(self, skymask=None, update_crmask=True, trim_edg = (0, 0), # Global skysub is the first step in a new extraction so clear the channels here self.show('global', global_sky=global_sky, slits=True, sobjs=sobjs_show, clear=False) - # Return return global_sky - def load_skyregions(self, sky_region_file=None): - """ - Generate or load the sky regions. - - Preference is given to generate the sky regions using the "user_regions" argument, - since this is set by the user in their .pypeit file, in the following way: - - .. code-block:: ini - - [reduce] - [[skysub]] - user_regions = :25,75: - - The alternative is to load a MasterSkyRegions file (generated by the pypeit_skysub_regions GUI). If the - user wishes to load the MasterSkyRegions file, they need to set user_regions = True: - - .. code-block:: ini - - [reduce] - [[skysub]] - user_regions = master - - Parameters - ---------- - sky_region_file : str, None, optional - Name of the sky regions file - - Returns - ------- - skymask : `numpy.ndarray`_ - A boolean array of sky pixels (True is a pixel that corresponds to a sky region) - """ - user_regions = self.par['reduce']['skysub']['user_regions'] - # Perform some checks - if user_regions is None: - msgs.error("When manually setting the sky regions, you must set the user_regions argument to be 'master'" - "(i.e. load a MasterSkyRegions file) or set the percentage regions, for example:\n" + - msgs.pypeitpar_text(['reduce', 'skysub', 'user_regions = :25,75:'])) - # First priority given to user_regions first - if user_regions == 'master': - # Check if a file exists - if os.path.exists(sky_region_file): - msgs.info("Loading SkyRegions file: " + msgs.newline() + sky_region_file) - skyreg = buildimage.SkyRegions.from_file(sky_region_file) - skymask = skyreg.image.astype(bool) - else: - msgs.error("Master SkyRegions file does not exist. Create a Master SkyRegions frame, or set "+ - msgs.newline()+"the percentage user_regions") - else: - msgs.info("Using user_regions to generate the sky regions") - if len(user_regions) == 0: - msgs.error("Specified user regions are incorrect:\n" + - msgs.pypeitpar_text(['reduce', 'skysub', 'user_regions = {0:s}'.format(user_regions)])) - skyregtxt = user_regions - if type(skyregtxt) is list: - skyregtxt = ",".join(skyregtxt) - msgs.info("Generating skysub mask based on the user defined regions {0:s}".format(skyregtxt)) - # The resolution probably doesn't need to be a user parameter - maxslitlength = np.max(self.slits_right-self.slits_left) - # Get the regions - status, regions = skysub.read_userregions(skyregtxt, self.slits.nslits, maxslitlength) - # Generate image - skymask = skysub.generate_mask(self.pypeline, regions, self.slits, self.slits_left, - self.slits_right, spat_flexure=self.spat_flexure_shift) - - # Return the result - return skymask - def show(self, attr, image=None, global_sky=None, showmask=False, sobjs=None, chname=None, slits=False,clear=False): """ @@ -926,23 +827,6 @@ def get_platescale(self, slitord_id=None): return self.spectrograph.order_platescale(slitord_id, binning=self.binning)[0] -# TODO This does not appear to be used anywhere -# def get_positive_sobj(self, specobjs, iord): -# """ -# Return the current object from self.sobjs_obj -# -# Args: -# iord (int): -# Echelle order index -# -# Returns: -# :class:`pypeit.specobj.SpecObj`: -# -# """ -# # pos indices of objects for this slit -# thisobj = (self.sobjs_obj.ech_orderindx == iord) & (self.sobjs_obj.ech_objid > 0) -# return self.sobjs_obj[np.where(thisobj)[0][0]] - def find_objects_pypeline(self, image, ivar, std_trace=None, show=False, show_peaks=False, show_fits=False, show_trace=False, save_objfindQA=False, neg=False, debug=False, @@ -1345,3 +1229,4 @@ def global_skysub(self, skymask=None, update_crmask=True, trim_edg=(0,0), objs_not_masked=objs_not_masked) return global_sky + diff --git a/pypeit/io.py b/pypeit/io.py index d231c465d3..f41a3cb207 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -8,6 +8,7 @@ """ import os +from pathlib import Path import glob import sys import warnings @@ -201,6 +202,37 @@ def compress_file(ifile, overwrite=False, rm_original=True): os.remove(ifile) +def remove_suffix(file): + """ + Remove the suffix of a file name. + + For normal filenames, this simply returns the file string without its last + suffix. For gzipped files, this removes both the '.gz' suffix, and the one + preceding it. + + Args: + file (:obj:`str`): + File name or full path to use + + Returns: + :obj:`str`: The file without its suffix or its input path, if provided. + + Examples: + + >>> remove_suffix('unzipped_file.txt') + 'unzipped_file' + >>> remove_suffix('/path/to/unzipped_file.fits') + 'unzipped_file' + >>> remove_suffix('dot.separated.file.name.txt') + 'dot.separated.file.name' + >>> remove_suffix('gzipped_file.fits.gz') + 'gzipped_file' + + """ + _file = Path(file) + return (_file.with_suffix('')).with_suffix('').name \ + if _file.suffix == '.gz' else _file.with_suffix('').name + def parse_hdr_key_group(hdr, prefix='F'): """ Parse a group of fits header values grouped by a keyword prefix. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 3e38816f0c..b3d9a626aa 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3753,14 +3753,14 @@ def __init__(self, bspline_spacing=None, sky_sigrej=None, global_sky_std=None, n # Masking defaults['user_regions'] = None dtypes['user_regions'] = [str, list] - descr['user_regions'] = 'A user-defined sky regions mask can be set using this keyword. To allow ' \ - 'the code to identify the sky regions automatically, set this variable to ' \ - 'an empty string. If you wish to set the sky regions, The text should be ' \ - 'a comma separated list of percentages to apply to _all_ slits ' \ - ' For example: The following string :10,35:65,80: would select the ' \ - 'first 10%, the inner 30%, and the final 20% of _all_ slits. Alternatively, you ' \ - 'can also set the argument to be "calib", which will load a SkyRegions ' \ - 'file that the user has generated with the pypeit_skysub_regions tool.' + descr['user_regions'] = 'Provides a user-defined mask defining sky regions. By ' \ + 'default, the sky regions are identified automatically. To ' \ + 'specify sky regions for *all* slits, provide a comma separated ' \ + 'list of percentages. For example, setting user_regions = ' \ + ':10,35:65,80: selects the first 10%, the inner 30%, and the ' \ + 'final 20% of *all* slits as containing sky. Setting ' \ + 'user_regions = user will attempt to load any SkyRegions ' \ + 'files generated by the user via the pypeit_skysub_regions tool.' defaults['mask_by_boxcar'] = False dtypes['mask_by_boxcar'] = bool @@ -3946,10 +3946,10 @@ def __init__(self, calib_dir=None, setup=None, bpm_usebias=None, biasframe=None, # *not* None (i.e., the ones that are defined) need to be set defaults['calib_dir'] = 'Calibrations' dtypes['calib_dir'] = str - descr['calib_dir'] = 'The name of the directory for the processed calibration frames. ' - 'The host path for the directory is set by the redux_path (see ' - ':class:`ReduxPar`). Beware that success when changing the default ' - 'value is not well tested!' + descr['calib_dir'] = 'The name of the directory for the processed calibration frames. ' \ + 'The host path for the directory is set by the redux_path (see ' \ + ':class:`ReduxPar`). Beware that success when changing the ' \ + 'default value is not well tested!' defaults['raise_chk_error'] = True dtypes['raise_chk_error'] = bool diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index ecc26f05b8..73fb67c043 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -743,20 +743,18 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): ignore_saturation=False) sciImg = sciImg.sub(bgimg) - # Check if the user has manually created a sky region file - sky_region_file = None - if self.par['reduce']['skysub']['user_regions'] == 'master': - # Check if a master Sky Regions file exists for this science frame - file_base = os.path.basename(sciImg.files[0]) - prefix = os.path.splitext(file_base) - if prefix[1] == ".gz": - sciName = os.path.splitext(prefix[0])[0] - else: - sciName = prefix[0] - - master_dir = self.caliBrate.master_dir - master_key = self.caliBrate.fitstbl.master_key(0, det=self.det) + "_" + sciName - sky_region_file = masterframe.construct_file_name(buildimage.SkyRegions, master_key, master_dir=master_dir) + # TODO: The spatial flexure is not copied to the PypeItImage object if + # the image (science or otherwise) is from a combination of multiple + # frames. Is that okay for this usage? + # Flexure + spat_flexure_shift = None + if (self.objtype == 'science' + and self.par['scienceframe']['process']['spat_flexure_correct']) or \ + (self.objtype == 'standard' + and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): + spat_flexure_shift = self.sciImg.spat_flexure + initial_skymask = self.load_skyregions(sciImg.files[0], frames[0], spat_flexure, + initial_slits=self.spectrograph.pypeline != 'IFU') # Deal with manual extraction row = self.fitstbl[frames[0]] @@ -770,7 +768,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): self.par, self.objtype, wv_calib=self.caliBrate.wv_calib, waveTilts=self.caliBrate.wavetilts, - sky_region_file=sky_region_file, + initial_skymask=initial_skymask, bkg_redux=self.bkg_redux, manual=manual_obj, find_negative=self.find_negative, @@ -784,6 +782,83 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): # Return return initial_sky, sobjs_obj, sciImg, objFind + def load_skyregions(self, scifile, frame, spat_flexure, initial_slits=False): + """ + Generate or load sky regions, if defined by the user. + + Sky regions are defined by the internal provided parameters; see + ``user_regions`` in :class:`~pypeit.par.pypeitpar.SkySubPar`. If + included in the in the pypeit file like so, + + .. code-block:: ini + + [reduce] + [[skysub]] + user_regions = :25,75: + + The first and last 25% of all slits are used as sky. If the user has + used the pypeit_skysub_regions GUI to generate a sky mask for a given + frame, this can be searched for and loaded by setting the parameter to + ``user``: + + .. code-block:: ini + + [reduce] + [[skysub]] + user_regions = user + + Parameters + ---------- + frame : :obj:`int` + The index of the frame used to set the basename + + Returns + ------- + skymask : `numpy.ndarray`_ + A boolean array of used to select sky pixels; i.e., True is a pixel + that corresponds to a sky region. If the ``user_regions`` parameter + is not set (or an empty string), the returned value is None. + """ + if self.par['reduce']['skysub']['user_regions'] in [None, '']: + return None + + # First priority given to user_regions first + if self.par['reduce']['skysub']['user_regions'] == 'user': + # Build the file name + setup = self.fitstbl['setup'][frame] + calib_id = CalibFrame.ingest_calib_id(self.fitstbl['calib'][frame]) + detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) + regfile = buildimage.SkyRegions.construct_file_name(calib_key, + calib_dir=self.calibrations_path, + basename=io.remove_suffix(scifile)) + regfile = Path(regfile).resolve() + if not regfile.exists(): + msgs.error(f'Unable to find SkyRegions file: {regfile} . Create a SkyRegions ' + 'frame using pypeit_skysub_regions, or change the user_regions to ' + 'the percentage format. See documentation.') + + msgs.info(f'Loading SkyRegions file: {regfile}') + return buildimage.SkyRegions.from_file(sky_region_file).image.astype(bool) + + skyregtxt = self.par['reduce']['skysub']['user_regions'] + if isinstance(skyregtxt, list): + skyregtxt = ",".join(skyregtxt) + msgs.info(f'Generating skysub mask based on the user defined regions: {skyregtxt}') + # The resolution probably doesn't need to be a user parameter + slits_left, slits_right, _ \ + = self.caliBrate.slits.select_edges(initial=initial_slits, flexure=spat_flexure) + + maxslitlength = np.max(slits_right-slits_left) + # Get the regions + status, regions = skysub.read_userregions(skyregtxt, self.caliBrate.slits.nslits, + maxslitlength) + # Generate and return image + # TODO: Is this applying the spatial flexure twice? + return skysub.generate_mask(self.spectrograph.pypeline, regions, self.caliBrate.slits, + slits_left, slits_right, spat_flexure=spat_flexure) + + def extract_one(self, frames, det, sciImg, objFind, initial_sky, sobjs_obj): """ Extract Objects in a single exposure/detector pair diff --git a/pypeit/scripts/skysub_regions.py b/pypeit/scripts/skysub_regions.py index 16db34077d..209ae05238 100644 --- a/pypeit/scripts/skysub_regions.py +++ b/pypeit/scripts/skysub_regions.py @@ -39,6 +39,7 @@ def main(args): import os from pypeit import msgs + from pypeit import io from pypeit.core.gui.skysub_regions import SkySubGUI from pypeit.core import flexure from pypeit.scripts import utils @@ -66,13 +67,10 @@ def main(args): # Derive an appropriate output filename file_base = info.get_basename() - prefix = os.path.splitext(file_base) - outname = os.path.splitext(prefix[0])[0] if prefix[1] == ".gz" else prefix[0] - info.load_calib_dir() calib_key = info.get_calib_key(iFile=iFile) regfile = buildimage.SkyRegions.construct_file_name(calib_key, calib_dir=info.calib_dir, - basename=outname) + basename=io.remove_suffix(file_base)) # Finally, initialise the GUI skyreg = SkySubGUI.initialize(args.det, frame, slits, info.spectrograph.pypeline, From 88ee8ac701995193722c9c5f695981a9fa16fdfb Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 23 Mar 2023 14:09:01 -0700 Subject: [PATCH 090/308] Shift from `Path.joinpath()` to `/` operator modified: pypeit/core/convert_DEIMOSsavfiles.py modified: pypeit/core/flexure.py modified: pypeit/core/flux_calib.py modified: pypeit/core/telluric.py modified: pypeit/core/wavecal/templates.py modified: pypeit/data/utils.py modified: pypeit/scripts/ql_multislit.py modified: pypeit/spectrographs/keck_deimos.py modified: pypeit/spectrographs/keck_lris.py modified: pypeit/spectrographs/vlt_xshooter.py modified: pypeit/tests/test_flexure.py modified: pypeit/tests/test_pkgdata.py modified: pypeit/tests/tstutils.py --- pypeit/core/convert_DEIMOSsavfiles.py | 2 +- pypeit/core/flexure.py | 4 +- pypeit/core/flux_calib.py | 18 +++---- pypeit/core/telluric.py | 2 +- pypeit/core/wavecal/templates.py | 71 ++++++++++++++------------- pypeit/data/utils.py | 56 ++++++++++----------- pypeit/scripts/ql_multislit.py | 18 +++---- pypeit/spectrographs/keck_deimos.py | 4 +- pypeit/spectrographs/keck_lris.py | 12 +++-- pypeit/spectrographs/vlt_xshooter.py | 2 +- pypeit/tests/test_flexure.py | 3 +- pypeit/tests/test_pkgdata.py | 7 ++- pypeit/tests/tstutils.py | 8 +-- 13 files changed, 108 insertions(+), 99 deletions(-) diff --git a/pypeit/core/convert_DEIMOSsavfiles.py b/pypeit/core/convert_DEIMOSsavfiles.py index 0f91e56538..a722aabda9 100644 --- a/pypeit/core/convert_DEIMOSsavfiles.py +++ b/pypeit/core/convert_DEIMOSsavfiles.py @@ -32,7 +32,7 @@ def sav_to_fits(savfile): io.write_to_fits( sav, - data.Paths.static_calibs.joinpath('keck_deimos', f'{savfile_name}.fits'), + data.Paths.static_calibs / 'keck_deimos', f'{savfile_name}.fits', overwrite=True ) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index ea644c9e50..b224430c10 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -1297,7 +1297,7 @@ def __init__(self, s1dfile=None, PYP_SPEC=None, nslits=None, det=None, self.specobjs = specobjs.SpecObjs.from_fitsfile(self.s1dfile, chk_version=False) # Sky lines -- This one is ASCII, so don't use load_sky_spectrum() sky_file = 'sky_single_mg.dat' - self.sky_table = ascii.read(data.Paths.sky_spec.joinpath(sky_file)) + self.sky_table = ascii.read(data.Paths.sky_spec / sky_file) def _init_internals(self): # Parameters (FlexurePar) @@ -1527,7 +1527,7 @@ def qa_plots(self, plot_dir:str, root:str): """ # Generate QA folder as need be - qa_dir = pathlib.Path(plot_dir).joinpath('QA') + qa_dir = pathlib.Path(plot_dir) / 'QA' if not qa_dir.is_dir(): qa_dir.mkdir() diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index cc1f58cb6f..eedb6064f4 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -152,8 +152,8 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): closest = dict(sep=999 * units.deg) for sset in std_sets: - stds_path = data.Paths.standards.joinpath(sset) - star_file = stds_path.joinpath(f"{sset}_info.txt") + stds_path = data.Paths.standards / sset + star_file = stds_path / f"{sset}_info.txt" if not star_file.is_file(): msgs.warn(f"File does not exist!: {star_file}") continue @@ -170,7 +170,7 @@ def find_standard_file(ra, dec, toler=20.*units.arcmin, check=False): # Generate a dict _idx = int(idx) - std_dict = dict(cal_file=stds_path.joinpath(star_tbl[_idx]['File']), + std_dict = dict(cal_file=stds_path / star_tbl[_idx]['File'], name=star_tbl[_idx]['Name'], # std_ra=star_tbl[_idx]['RA_2000'], # std_dec=star_tbl[_idx]['DEC_2000']) @@ -303,7 +303,7 @@ def stellar_model(V, sptype): logg_sol = np.log10(6.67259e-8) + np.log10(1.989e33) - 2.0 * np.log10(6.96e10) # Load Schmidt-Kaler (1982) table - sk82_file = data.Paths.standards.joinpath('kurucz93', 'schmidt-kaler_table.txt') + sk82_file = data.Paths.standards / 'kurucz93' / 'schmidt-kaler_table.txt' sk82_tab = ascii.read(sk82_file, names=('Sp', 'logTeff', 'Teff', '(B-V)_0', 'M_V', 'B.C.', 'M_bol', 'L/L_sol')) # TODO, currently this only works on select stellar types. Add ability to interpolate across types. @@ -348,7 +348,7 @@ def stellar_model(V, sptype): indg = np.argmin(np.abs(loggk - logg)) # Grab Kurucz filename - std_file = data.Paths.standards.joinpath('kurucz93', 'kp00', f'kp00_{int(Tk[indT])}.fits.gz') + std_file = data.Paths.standards / 'kurucz93' / 'kp00' / f'kp00_{int(Tk[indT])}.fits.gz' std = table.Table.read(std_file) # Grab specific spectrum @@ -407,7 +407,7 @@ def get_standard_spectrum(star_type=None, star_mag=None, ra=None, dec=None): if 'A0' in star_type: msgs.info('Getting vega spectrum') ## Vega model from TSPECTOOL - vega_file = data.Paths.standards.joinpath('vega_tspectool_vacuum.dat') + vega_file = data.Paths.standards / 'vega_tspectool_vacuum.dat' vega_data = table.Table.read(vega_file, comment='#', format='ascii') std_dict = dict(cal_file='vega_tspectool_vacuum', name=star_type, Vmag=star_mag, std_ra=ra, std_dec=dec) @@ -456,7 +456,7 @@ def load_extinction_data(longitude, latitude, extinctfilepar, # Observation coordinates obs_coord = coordinates.SkyCoord(longitude, latitude, frame='gcrs', unit=units.deg) # Read list - extinct_summ = data.Paths.extinction.joinpath('README') + extinct_summ = data.Paths.extinction / 'README' extinct_files = table.Table.read(extinct_summ, comment='#', format='ascii') # Coords ext_coord = coordinates.SkyCoord(extinct_files['Lon'], extinct_files['Lat'], frame='gcrs', @@ -1464,7 +1464,7 @@ def load_filter_file(filter): """ - filter_file = data.Paths.filters.joinpath('filter_list.ascii') + filter_file = data.Paths.filters / 'filter_list.ascii' tbl = table.Table.read(filter_file, format='ascii') allowed_options = tbl['filter'].data @@ -1473,7 +1473,7 @@ def load_filter_file(filter): if filter not in allowed_options: msgs.error("PypeIt is not ready for filter = {}".format(filter)) - trans_file = data.Paths.filters.joinpath('filtercurves.fits') + trans_file = data.Paths.filters / 'filtercurves.fits' trans = io.fits_open(trans_file) wave = trans[filter].data['lam'] # Angstroms instr = trans[filter].data['Rlam'] # Am keeping in atmospheric terms diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index 1999fb21d4..f7454f6a3d 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -64,7 +64,7 @@ def init_pca(filename,wave_grid,redshift, npca): # and the Gaussian mixture model prior (mix_fit) # The PCA file location is provided by data.Paths.tel_model - file_with_path = data.Paths.tel_model.joinpath(filename) + file_with_path = data.Paths.tel_model / filename loglam = np.log10(wave_grid) dloglam = np.median(loglam[1:] - loglam[:-1]) diff --git a/pypeit/core/wavecal/templates.py b/pypeit/core/wavecal/templates.py index f7cccd39c1..4ee69ab7b0 100644 --- a/pypeit/core/wavecal/templates.py +++ b/pypeit/core/wavecal/templates.py @@ -41,7 +41,10 @@ # # Meta must include BINNING of the template with 1=native if os.getenv('PYPEIT_DEV') is not None: - template_path = pathlib.Path(os.getenv('PYPEIT_DEV')).joinpath('dev_algorithms','wavelengths','template_files') + template_path = ( + pathlib.Path(os.getenv('PYPEIT_DEV')) / + 'dev_algorithms' / 'wavelengths' / 'template_files' + ) else: # print("You may wish to set the PYPEIT_DEV environment variable") pass @@ -305,7 +308,7 @@ def pypeit_identify_record(iwv_calib, binspec, specname, gratname, dispangl, out extstr = "" while True: outroot = '{0:s}_{1:s}_{2:s}{3:s}.fits'.format(specname, gratname, dispangl, extstr) - if data.Paths.reid_arxiv.joinpath(outroot).exists(): + if (data.Paths.reid_arxiv / outroot).exists(): extstr = "_{0:02d}".format(cntr) else: break @@ -504,7 +507,7 @@ def main(flg): if flg & (2**0): # B300, all lamps binspec = 1 slits = [15] - xidl_file = template_path.joinpath('Keck_LRIS', 'B300', 'lris_blue_300.sav') + xidl_file = template_path / 'Keck_LRIS' / 'B300' / 'lris_blue_300.sav' outroot = 'keck_lris_blue_300_d680.fits' build_template(xidl_file, slits, None, binspec, outroot, lowredux=True) @@ -513,7 +516,7 @@ def main(flg): outroot='keck_lris_blue_400_d560.fits' slits = [19,14] lcut = [5500.] - xidl_file = template_path.joinpath('Keck_LRIS', 'B400', 'lris_blue_400_d560.sav') + xidl_file = template_path / 'Keck_LRIS' / 'B400' / 'lris_blue_400_d560.sav' build_template(xidl_file, slits, lcut, binspec, outroot, lowredux=True) if flg & (2**2): # B600, all lamps @@ -521,7 +524,7 @@ def main(flg): outroot='keck_lris_blue_600_d560.fits' slits = [0,7] lcut = [4500.] - wfile = template_path.joinpath('Keck_LRIS', 'B600', 'MasterWaveCalib_A_1_01.json') + wfile = template_path / 'Keck_LRIS' / 'B600' / 'MasterWaveCalib_A_1_01.json' build_template(wfile, slits, lcut, binspec, outroot, lowredux=False) if flg & (2**3): # B1200, all lamps? @@ -529,7 +532,7 @@ def main(flg): outroot='keck_lris_blue_1200_d460.fits' slits = [19,44] lcut = [3700.] - xidl_file = template_path.joinpath('Keck_LRIS', 'B1200', 'lris_blue_1200.sav') + xidl_file = template_path / 'Keck_LRIS' / 'B1200' /'lris_blue_1200.sav' build_template(xidl_file, slits, lcut, binspec, outroot, lowredux=True) # ###############################################3 @@ -539,7 +542,7 @@ def main(flg): outroot='keck_lris_red_400.fits' slits = [7] # Quite blue, but not the bluest lcut = [] - wfile = template_path.joinpath('Keck_LRIS', 'R400', 'MasterWaveCalib_A_1_01.json') + wfile = template_path / 'Keck_LRIS' / 'R400' / 'MasterWaveCalib_A_1_01.json' build_template(wfile, slits, lcut, binspec, outroot, lowredux=False) if flg & (2**11): # R1200 @@ -550,8 +553,8 @@ def main(flg): ifiles = [0, 1] slits = [3, 7] lcut = [9250.] - wfile1 = template_path.joinpath('Keck_LRIS', 'R1200_9000', 'MasterWaveCalib_A_1_02.json') # Original Dev - wfile2 = template_path.joinpath('Keck_LRIS', 'R1200_9000', 'MasterWaveCalib_A_1_01.json') # Dev suite 2x1 + wfile1 = template_path / 'Keck_LRIS' / 'R1200_9000' / 'MasterWaveCalib_A_1_02.json' # Original Dev + wfile2 = template_path / 'Keck_LRIS' / 'R1200_9000' / 'MasterWaveCalib_A_1_01.json' # Dev suite 2x1 build_template([wfile1,wfile2], slits, lcut, binspec, outroot, lowredux=False, ifiles=ifiles) @@ -562,7 +565,7 @@ def main(flg): outroot='keck_lris_red_600_5000.fits' slits = [4, 7] lcut = [7820.] - wfile = template_path.joinpath('Keck_LRIS', 'R600_5000', 'MasterWaveCalib_B_1_01.json') + wfile = template_path / 'Keck_LRIS' / 'R600_5000' /'MasterWaveCalib_B_1_01.json' build_template(wfile, slits, lcut, binspec, outroot, lowredux=False) if flg & (2**27): # R600/7500 @@ -572,7 +575,7 @@ def main(flg): outroot='keck_lris_red_600_7500.fits' slits = [10, 4] lcut = [7840.] - wfile = template_path.joinpath('Keck_LRIS', 'R600_7500', 'MasterWaveCalib_I_1_01.json') + wfile = template_path / 'Keck_LRIS' / 'R600_7500' / 'MasterWaveCalib_I_1_01.json' build_template(wfile, slits, lcut, binspec, outroot, lowredux=False, chk=True, normalize=True, subtract_conti=True) @@ -580,8 +583,8 @@ def main(flg): # Magellan/MagE if flg & (2**13): # Load - mase_path = pathlib.Path(os.getenv('XIDL_DIR')).joinpath('Magellan', 'MAGE', 'mase', 'Calib') - sav_file = mase_path.joinpath('MagE_wvguess_jfh.idl') + mase_path = pathlib.Path(os.getenv('XIDL_DIR')) / 'Magellan' / 'MAGE' / 'mase' / 'Calib' + sav_file = mase_path / 'MagE_wvguess_jfh.idl' mase_dict = readsav(sav_file) mase_sol = Table(mase_dict['all_arcfit']) # Do it @@ -601,12 +604,12 @@ def main(flg): tbl.meta['BINSPEC'] = 1 # Write outroot='magellan_mage.fits' - outfile = template_path.joinpath(outroot) + outfile = template_path / outroot tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) if flg & (2**14): # Magellan/MagE Plots - new_mage_file = data.Paths.reid_arxiv.joinpath('magellan_mage.fits') + new_mage_file = data.Paths.reid_arxiv / 'magellan_mage.fits' # Load mage_wave = Table.read(new_mage_file) llist = waveio.load_line_lists(['ThAr_MagE']) @@ -620,12 +623,12 @@ def main(flg): # Fit final_fit = wv_fitting.fit_slit(fx, patt_dict, detections, llist) # Output - outfile=data.Paths.arc_plot.joinpath(f'MagE_order{order:2d}_IDs.pdf') + outfile=data.Paths.arc_plot / f'MagE_order{order:2d}_IDs.pdf' autoid.arc_fit_qa(final_fit, outfile=outfile, ids_only=True) print(f"Wrote: {outfile}") autoid.arc_fit_qa( final_fit, - outfile=data.Paths.arc_plot.joinpath(f'MagE_order{order:2d}_full.pdf') + outfile=data.Paths.arc_plot / f'MagE_order{order:2d}_full.pdf' ) if flg & (2**15): # VLT/X-Shooter reid_arxiv @@ -633,7 +636,7 @@ def main(flg): for iroot, iout in zip(['vlt_xshooter_vis1x1.json', 'vlt_xshooter_nir.json'], ['vlt_xshooter_vis1x1.fits', 'vlt_xshooter_nir.fits']): # Load - old_file = data.Paths.reid_arxiv.joinpath(iroot) + old_file = data.Paths.reid_arxiv / iroot odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -653,7 +656,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = data.Paths.reid_arxiv.joinpath(iout) + outfile = data.Paths.reid_arxiv / iout tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) @@ -674,7 +677,7 @@ def main(flg): iroot = 'keck_nires.json' iout = 'keck_nires.fits' # Load - old_file = data.Paths.reid_arxiv.joinpath(iroot) + old_file = data.Paths.reid_arxiv / iroot odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -694,7 +697,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = data.Paths.reid_arxiv.joinpath(iout) + outfile = data.Paths.reid_arxiv / iout tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) @@ -703,7 +706,7 @@ def main(flg): iroot = 'gemini_gnirs.json' iout = 'gemini_gnirs.fits' # Load - old_file = data.Paths.reid_arxiv.joinpath(iroot) + old_file = data.Paths.reid_arxiv / iroot odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -723,7 +726,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = data.Paths.reid_arxiv.joinpath(iout) + outfile = data.Paths.reid_arxiv / iout tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) @@ -731,7 +734,7 @@ def main(flg): if flg & (2**23): # WHT/ISIS iroot = 'wht_isis_blue_1200_4800.json' outroot = 'wht_isis_blue_1200_4800.fits' - wfile = template_path.joinpath('WHT_ISIS', '1200B', iroot) + wfile = template_path / 'WHT_ISIS' / '1200B' / iroot binspec = 2 slits = [0] lcut = [3200.] @@ -741,7 +744,7 @@ def main(flg): iroot = 'magellan_fire_echelle.json' iout = 'magellan_fire_echelle.fits' # Load - old_file = data.Paths.reid_arxiv.joinpath(iroot) + old_file = data.Paths.reid_arxiv / iroot odict, par = waveio.load_reid_arxiv(old_file) # Do it @@ -762,15 +765,15 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = data.Paths.reid_arxiv.joinpath(iout) + outfile = data.Paths.reid_arxiv / iout tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) if flg & (2**25): # FIRE longslit binspec = 1 outroot = 'magellan_fire_long.fits' - xidl_file = pathlib.Path(os.getenv('FIRE_DIR')).joinpath('LowDispersion', 'NeNeAr_archive_fit.fits') - spec_file = pathlib.Path(os.getenv('FIRE_DIR')).joinpath('LowDispersion', 'NeNeAr2.sav') + xidl_file = pathlib.Path(os.getenv('FIRE_DIR')) / 'LowDispersion' / 'NeNeAr_archive_fit.fits' + spec_file = pathlib.Path(os.getenv('FIRE_DIR')) / 'LowDispersion' / 'NeNeAr2.sav' fire_sol = Table.read(xidl_file) wave = cheby_val(fire_sol['FFIT'].data[0], np.arange(2048), fire_sol['NRM'].data[0], fire_sol['NORD'].data[0]) wv_vac = airtovac(wave * units.AA) @@ -786,14 +789,14 @@ def main(flg): slits = [0] lcut = [] for ii in range(len(iroot)): - wfile = data.Paths.reid_arxiv.joinpath(iroot[ii]) + wfile = data.Paths.reid_arxiv / iroot[ii] build_template(wfile, slits, lcut, binspec, outroot[ii], lowredux=False) # MDM/OSMOS -- MDM4K if flg & (2 ** 28): # ArI 4159 -- 6800 - wfile = template_path.joinpath('MDM_OSMOS', 'MasterWaveCalib_MDM4K_01.json') + wfile = template_path / 'MDM_OSMOS' / 'MasterWaveCalib_MDM4K_01.json' outroot = 'mdm_osmos_mdm4k.fits' binspec = 1 slits = [0] @@ -809,7 +812,7 @@ def main(flg): slits = [1020,1020,1020] lcut = [] for ii in range(len(iroot)): - wfile = data.Paths.reid_arxiv.joinpath(iroot[ii]) + wfile = data.Paths.reid_arxiv / iroot[ii] build_template(wfile, slits, lcut, binspec, outroot[ii], lowredux=False) # LBT/MODS if flg & (2**33): @@ -819,14 +822,14 @@ def main(flg): slits = [[1557],[1573]] lcut = [] for ii in range(len(iroot)): - wfile = data.Paths.reid_arxiv.joinpath(iroot[ii]) + wfile = data.Paths.reid_arxiv / iroot[ii] build_template(wfile, slits[ii], lcut, binspec, outroot[ii], lowredux=False) # P200 Triplespec if flg & (2**34): iroot = 'p200_triplespec_MasterWaveCalib.fits' iout = 'p200_triplespec.fits' # Load - old_file = data.Paths.reid_arxiv.joinpath(iroot) + old_file = data.Paths.reid_arxiv / iroot par = io.fits_open(old_file) pyp_spec = par[0].header['PYP_SPEC'] spectrograph = load_spectrograph(pyp_spec) @@ -845,7 +848,7 @@ def main(flg): tbl['order'] = orders tbl.meta['BINSPEC'] = 1 # Write - outfile = data.Paths.reid_arxiv.joinpath(iout) + outfile = data.Paths.reid_arxiv / iout tbl.write(outfile, overwrite=True) print("Wrote: {}".format(outfile)) diff --git a/pypeit/data/utils.py b/pypeit/data/utils.py index 9f43109d67..7b20b34da8 100644 --- a/pypeit/data/utils.py +++ b/pypeit/data/utils.py @@ -31,7 +31,7 @@ .. code-block:: python - vega_file = data.Paths.standards.joinpath('vega_tspectool_vacuum.dat') + vega_file = data.Paths.standards / 'vega_tspectool_vacuum.dat' For some directories, however, the size of the included files is large enough that it was beginning to cause problems with distributing the package via PyPI. @@ -104,27 +104,27 @@ class Paths: _data = pathlib.Path(resource_filename('pypeit', 'data')) # Telluric Corrections - _telgrid = _data.joinpath('telluric', 'atm_grids') - _tel_model = _data.joinpath('telluric', 'models') + _telgrid = _data / 'telluric' / 'atm_grids' + _tel_model = _data / 'telluric' / 'models' # Wavelength Calibrations - _arclines = _data.joinpath('arc_lines') - _reid_arxiv = _arclines.joinpath('reid_arxiv') - _linelist = _arclines.joinpath('lists') - _nist = _arclines.joinpath('NIST') - _arc_plot = _arclines.joinpath('plots') + _arclines = _data / 'arc_lines' + _reid_arxiv = _arclines / 'reid_arxiv' + _linelist = _arclines / 'lists' + _nist = _arclines / 'NIST' + _arc_plot = _arclines /'plots' # Flux Calibrations - _standards = _data.joinpath('standards') - _extinction = _data.joinpath('extinction') - _skisim = _data.joinpath('skisim') - _filters = _data.joinpath('filters') - _sensfuncs = _data.joinpath('sensfuncs') + _standards = _data / 'standards' + _extinction = _data / 'extinction' + _skisim = _data / 'skisim' + _filters = _data / 'filters' + _sensfuncs = _data / 'sensfuncs' # Other - _sky_spec = _data.joinpath('sky_spec') - _static_calibs = _data.joinpath('static_calibs') - _spectrographs = _data.joinpath('spectrographs') + _sky_spec = _data / 'sky_spec' + _static_calibs = _data / 'static_calibs' + _spectrographs = _data / 'spectrographs' @classmethod @property @@ -245,7 +245,7 @@ def get_reid_arxiv_filepath(arxiv_file: str) -> tuple[pathlib.Path, str]: * arxiv_fmt (:obj:`str`): The extension of the ``reid_arxiv`` file (format) """ # Full path within the package data structure: - reid_path = Paths.reid_arxiv.joinpath(arxiv_file) + reid_path = Paths.reid_arxiv / arxiv_file arxiv_fmt = arxiv_file.split(".")[-1].lower() # Check if the file does NOT exist in the package directory @@ -292,7 +292,7 @@ def get_skisim_filepath(skisim_file: str) -> pathlib.Path: :obj:`pathlib.Path`: The full path to the ``skisim`` file """ # Full path within the package data structure: - skisim_path = Paths.skisim.joinpath(skisim_file) + skisim_path = Paths.skisim / skisim_file # Check if the file does NOT exist in the package directory # NOTE: This should be the case for all but from-source installations @@ -341,7 +341,7 @@ def get_sensfunc_filepath(sensfunc_file: str, symlink_in_pkgdir=False) -> pathli :obj:`pthlib.Path`: The full path to the ``sensfunc`` file """ # Full path within the package data structure: - sensfunc_path = Paths.sensfuncs.joinpath(sensfunc_file) + sensfunc_path = Paths.sensfuncs / sensfunc_file # Check if the file does NOT exist in the package directory # NOTE: This should be the case for all but from-source installations @@ -355,7 +355,7 @@ def get_sensfunc_filepath(sensfunc_file: str, symlink_in_pkgdir=False) -> pathli # If requested, copy to package data directory and point the path there if symlink_in_pkgdir: - path_in_pkgdir = Paths.sensfuncs.joinpath(sensfunc_file) + path_in_pkgdir = Paths.sensfuncs / sensfunc_file # Create the symlink path_in_pkgdir.symlink_to(sensfunc_path) # Return the path to the symlink in the package directory @@ -390,7 +390,7 @@ def get_telgrid_filepath(telgrid_file: str) -> pathlib.Path: :obj:`pathlib.Path`: The full path to the ``telgrid`` file """ # Full path within the package data structure: - telgrid_path = Paths.telgrid.joinpath(telgrid_file) + telgrid_path = Paths.telgrid / telgrid_file # Check if the file does NOT exist in the package directory # NOTE: This should be the case for most installations @@ -404,8 +404,8 @@ def get_telgrid_filepath(telgrid_file: str) -> pathlib.Path: # If a development version, MOVE into the package directory, point path there if ".dev" in __version__: - shutil.move(telgrid_path, Paths.telgrid.joinpath(telgrid_file)) - telgrid_path = Paths.telgrid.joinpath(telgrid_file) + shutil.move(telgrid_path, Paths.telgrid / telgrid_file) + telgrid_path = Paths.telgrid / telgrid_file # Return the path to the `telgrid` file return telgrid_path @@ -441,7 +441,7 @@ def get_linelist_filepath(linelist_file: str) -> pathlib.Path: :obj:`pathlib.Path`: The full path to the ``linelist`` file """ # Full path within the package data structure: - linelist_path = Paths.linelist.joinpath(linelist_file) + linelist_path = Paths.linelist / linelist_file # Check if the file does NOT exist in the package directory # NOTE: This should only be the case for user-installed line lists @@ -474,7 +474,7 @@ def get_extinctfile_filepath(extinction_file: str) -> pathlib.Path: :obj:`pathlib.Path`: The full path to the ``extinction`` file """ # Full path within the package data structure: - extinction_path = Paths.extinction.joinpath(extinction_file) + extinction_path = Paths.extinction / extinction_file # Check if the file does NOT exist in the package directory # NOTE: This should be the case only for user-installed extinction files @@ -725,7 +725,7 @@ def _get_s3_hostname(): urllib.error.URLError, github.GithubException ): - filepath = Paths.data.joinpath("s3_url.txt") + filepath = Paths.data / "s3_url.txt" # Open the file and return the URL with open(filepath, "r", encoding="utf-8") as fileobj: @@ -776,7 +776,7 @@ def load_thar_spec(): Returns: (:obj:`astropy.io.fits.HDUList`): ThAr Spectrum FITS HDU list """ - return io.fits_open(Paths.arclines.joinpath('thar_spec_MM201006.fits')) + return io.fits_open(Paths.arclines / 'thar_spec_MM201006.fits') def load_sky_spectrum(sky_file): @@ -795,4 +795,4 @@ def load_sky_spectrum(sky_file): Returns: (:obj:`XSpectrum1D`): Sky spectrum """ - return xspectrum1d.XSpectrum1D.from_file(str(Paths.sky_spec.joinpath(sky_file))) + return xspectrum1d.XSpectrum1D.from_file(str(Paths.sky_spec / sky_file)) diff --git a/pypeit/scripts/ql_multislit.py b/pypeit/scripts/ql_multislit.py index 5788994d14..4ca412becf 100644 --- a/pypeit/scripts/ql_multislit.py +++ b/pypeit/scripts/ql_multislit.py @@ -377,7 +377,7 @@ def main(args): tstart = time.time() # Parse the files sort by MJD - files = np.array([pathlib.Path(args.full_rawpath).joinpath(file) for file in args.files]) + files = np.array([pathlib.Path(args.full_rawpath) / file for file in args.files]) nfiles = len(files) @@ -398,9 +398,9 @@ def main(args): # Get the master path # Calibration Master directory - master_dir = data.Paths.data.joinpath('QL_MASTERS') if args.master_dir is None else pathlib.Path(args.master_dir) + master_dir = data.Paths.data / 'QL_MASTERS' if args.master_dir is None else pathlib.Path(args.master_dir) master_subdir = spectrograph.get_ql_master_dir(files[0]) - master_path = master_dir.joinpath(master_subdir) + master_path = master_dir / master_subdir if not master_path.is_dir(): msgs.error(f'{master_path} does not exist! You must install the QL_MASTERS ' 'directory; download the data from the PypeIt dev-suite Google Drive and ' @@ -408,17 +408,17 @@ def main(args): 'pypeit_install_ql_masters script.') bias_masterframe_name = \ - utils.find_single_file(master_path.joinpath("MasterBias*")) + utils.find_single_file(master_path / "MasterBias*") slit_masterframe_name = \ - utils.find_single_file(master_path.joinpath("MasterSlits*")) + utils.find_single_file(master_path / "MasterSlits*") tilts_masterframe_name = \ - utils.find_single_file(master_path.joinpath("MasterTilts*")) + utils.find_single_file(master_path / "MasterTilts*") wvcalib_masterframe_name = \ - utils.find_single_file(master_path.joinpath("MasterWaveCalib*")) + utils.find_single_file(master_path / "MasterWaveCalib*") std_spec1d_file = \ - utils.find_single_file(master_path.joinpath("spec1d_*")) + utils.find_single_file(master_path / "spec1d_*") sensfunc_masterframe_name = \ - utils.find_single_file(master_path.joinpath("sens_*")) + utils.find_single_file(master_path / "sens_*") # TODO Implement some kind of checking for minimal masters. If --flux is set check for sensfunc etc. diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 5cdf6b8323..08e09e12e4 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -215,7 +215,7 @@ def get_detector_par(self, det, hdu=None): # raw frame date in mjd date = time.Time(self.get_meta_value(self.get_headarr(hdu), 'mjd'), format='mjd').value # get the measurements files - measure_files = np.array(data.Paths.spectrographs.joinpath("keck_deimos", "gain_ronoise").glob("*")) + measure_files = np.array((data.Paths.spectrographs / "keck_deimos" / "gain_ronoise").glob("*")) # Parse the dates recorded in the name of the files measure_dates = np.array([os.path.basename(f).split('.')[2] for f in measure_files]) # convert into datetime format @@ -1185,7 +1185,7 @@ def get_amapbmap(self, filename): # Grating slider slider = hdu[0].header['GRATEPOS'] - mp_dir = data.Paths.static_calibs.joinpath('keck_deimos') + mp_dir = data.Paths.static_calibs / 'keck_deimos' if slider in [3,4]: self.amap = fits.getdata(os.path.join(mp_dir, f'amap.s{slider}.2003mar04.fits')) diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index eb28a5af41..6acb2fdf2f 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -1371,14 +1371,16 @@ def get_detector_par(self, det, hdu=None): amp_mode = hdu[0].header['AMPMODE'] msgs.info("AMPMODE = {:s}".format(amp_mode)) # Load up translation dict - ampmode_translate_file = data.Paths.data.joinpath('spectrographs', - 'keck_lris_red_mark4', 'dict_for_ampmode.json') + ampmode_translate_file = ( + data.Paths.data / 'spectrographs' / 'keck_lris_red_mark4' / 'dict_for_ampmode.json' + ) ampmode_translate_dict = ltu.loadjson(ampmode_translate_file) # Load up the corrected header swap_binning = f"{binning[-1]},{binning[0]}" # LRIS convention is oppopsite ours - header_file = data.Paths.data.joinpath( - 'spectrographs', - 'keck_lris_red_mark4', + header_file = ( + data.Paths.data / + 'spectrographs' / + 'keck_lris_red_mark4' / f'header{ampmode_translate_dict[amp_mode]}_{swap_binning.replace(",","_")}.fits' ) correct_header = fits.getheader(header_file) diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index 8af6a0750d..c6a0627066 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -434,7 +434,7 @@ def bpm(self, filename, det, shape=None, msbias=None): bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) if det == 1: - bpm_dir = data.Paths.static_calibs.joinpath('vlt_xshoooter') + bpm_dir = data.Paths.static_calibs / 'vlt_xshoooter' try : bpm_loc = np.loadtxt(os.path.join(bpm_dir, 'BP_MAP_RP_NIR.dat'), usecols=(0,1)) diff --git a/pypeit/tests/test_flexure.py b/pypeit/tests/test_flexure.py index fcbf09603f..384375a808 100644 --- a/pypeit/tests/test_flexure.py +++ b/pypeit/tests/test_flexure.py @@ -19,7 +19,8 @@ def test_flex_shift(): # Dummy slf # Read spectra obj_spec = readspec(data_path('obj_lrisb_600_sky.fits')) - arx_file = data.Paths.sky_spec.joinpath('sky_LRISb_600.fits') + arx_file = data.Paths.sky_spec / 'sky_LRISb_600.fits' + # linetools expects string paths, not `pathlib.Path` objects arx_spec = readspec(str(arx_file)) arx_fwhm_pix = autoid.measure_fwhm(arx_spec.flux.value, sigdetect=4., fwhm=4.) diff --git a/pypeit/tests/test_pkgdata.py b/pypeit/tests/test_pkgdata.py index b850c88a0e..b955472f7a 100644 --- a/pypeit/tests/test_pkgdata.py +++ b/pypeit/tests/test_pkgdata.py @@ -66,8 +66,11 @@ def test_search_cache(): assert data.search_cache('junkymcjunkface.txt') == [] # Place a file in the cache, and retrieve it - data.write_file_to_cache(data.Paths.linelist.joinpath('ArI_lines.dat'), - 'totally_special_argon_lines.dat', 'arc_lines/reid_arxiv') + data.write_file_to_cache( + data.Paths.linelist / 'ArI_lines.dat', + 'totally_special_argon_lines.dat', + 'arc_lines/reid_arxiv' + ) assert data.search_cache('totally_special')[0].is_file() diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index 40f4fa3bbf..aa03e14788 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -30,13 +30,13 @@ # Tests require the Cooked data cooked_required = pytest.mark.skipif( os.getenv('PYPEIT_DEV') is None - or not pathlib.Path(os.getenv('PYPEIT_DEV')).joinpath('Cooked').is_dir(), + or not (pathlib.Path(os.getenv('PYPEIT_DEV')) / 'Cooked').is_dir(), reason='no dev-suite cooked directory' ) # Tests require the Telluric file (Mauna Kea) par = Spectrograph.default_pypeit_par() -tell_test_grid = data.Paths.telgrid.joinpath('TelFit_MaunaKea_3100_26100_R20000.fits') +tell_test_grid = data.Paths.telgrid / 'TelFit_MaunaKea_3100_26100_R20000.fits' telluric_required = pytest.mark.skipif(not tell_test_grid.is_file(), reason='no Mauna Kea telluric file') @@ -52,8 +52,8 @@ def data_path(filename): - data_dir = pathlib.Path(__file__).parent.absolute().joinpath('files') - return str(data_dir.joinpath(filename).resolve()) + data_dir = pathlib.Path(__file__).parent.absolute() / 'files' + return str((data_dir / filename).resolve()) def get_kastb_detector(): From 06ec98cadb73a61812e765b86a39e4c0f36d445f Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 23 Mar 2023 15:22:59 -0700 Subject: [PATCH 091/308] Attempt at fix for Windows/py3.9 CI failure --- pypeit/tests/tstutils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index aa03e14788..45d7cfb13b 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -52,8 +52,8 @@ def data_path(filename): - data_dir = pathlib.Path(__file__).parent.absolute() / 'files' - return str((data_dir / filename).resolve()) + data_dir = pathlib.Path(__file__).parent.absolute().joinpath('files') + return str(data_dir.joinpath(filename).resolve()) def get_kastb_detector(): From a464735e962984a476bff9edbba44244d3a70ff4 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 23 Mar 2023 15:56:14 -0700 Subject: [PATCH 092/308] Address PR comments; another try at Win/py39 fix --- environment.yml | 2 +- pypeit/core/extract.py | 2 +- pypeit/core/wavecal/patterns.py | 12 +++++++----- pypeit/tests/tstutils.py | 2 +- setup.cfg | 2 +- tox.ini | 5 +++-- 6 files changed, 14 insertions(+), 11 deletions(-) diff --git a/environment.yml b/environment.yml index 5132d596c6..987c2ce301 100644 --- a/environment.yml +++ b/environment.yml @@ -3,7 +3,7 @@ channels: - conda-forge - defaults dependencies: - - python>=3.9,<3.11 + - python>=3.9,<3.12 - pyyaml>=5.4 - requests>=2.26 - packaging>=21.0 diff --git a/pypeit/core/extract.py b/pypeit/core/extract.py index 6a7e8591c4..18a6e54728 100644 --- a/pypeit/core/extract.py +++ b/pypeit/core/extract.py @@ -868,7 +868,7 @@ def fit_profile(image, ivar, waveimg, thismask, spat_img, trace_in, wave, if((nbad2 > 0) or (ngood0 > 0)): spline_flux1[indbad2] = np.median(spline_flux1[np.invert(badpix)]) # take a 5-pixel median to filter out some hot pixels - spline_flux1 = scipy.ndimage.median_filter(spline_flux1,size=5,mode ='reflect') + spline_flux1 = scipy.ndimage.median_filter(spline_flux1,size=5,mode='reflect') # Create the normalized object image if np.any(totmask): diff --git a/pypeit/core/wavecal/patterns.py b/pypeit/core/wavecal/patterns.py index 833818b605..54afe12892 100644 --- a/pypeit/core/wavecal/patterns.py +++ b/pypeit/core/wavecal/patterns.py @@ -1,8 +1,8 @@ """ Module for finding patterns in arc line spectra """ import numpy as np -from scipy.ndimage import maximum_filter -from scipy.ndimage import generate_binary_structure, binary_erosion +import scipy.ndimage + #import numba as nb @@ -23,16 +23,18 @@ def detect_2Dpeaks(image): """ # Define an 8-connected neighborhood - neighborhood = generate_binary_structure(2, 2) + neighborhood = scipy.ndimage.generate_binary_structure(2, 2) # Apply the local maximum filter - local_max = maximum_filter(image, footprint=neighborhood) == image + local_max = scipy.ndimage.maximum_filter(image, footprint=neighborhood) == image # Background mask background = (image == 0) # Remove artifacts from local maximum filter - eroded_background = binary_erosion(background, structure=neighborhood, border_value=1) + eroded_background = scipy.ndimage.binary_erosion( + background, structure=neighborhood, border_value=1 + ) # Remove the background from the local_max mask pimage = local_max ^ eroded_background diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index 45d7cfb13b..5817ac76b3 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -53,7 +53,7 @@ def data_path(filename): data_dir = pathlib.Path(__file__).parent.absolute().joinpath('files') - return str(data_dir.joinpath(filename).resolve()) + return str(data_dir.joinpath(filename))#.resolve()) def get_kastb_detector(): diff --git a/setup.cfg b/setup.cfg index 2448119834..2f8362332c 100644 --- a/setup.cfg +++ b/setup.cfg @@ -28,7 +28,7 @@ classifiers = zip_safe = False use_2to3=False packages = find: -python_requires = >=3.9,<3.11 +python_requires = >=3.9,<3.12 setup_requires = setuptools_scm include_package_data = True install_requires = diff --git a/tox.ini b/tox.ini index 0efeaaac7d..556cb5a1b6 100644 --- a/tox.ini +++ b/tox.ini @@ -1,6 +1,6 @@ [tox] envlist = - py{39,310,311}-test{,-alldeps,-pyside2,-pyqt5,-shapely}{,-cov} + py{39,310,311}-test{,-alldeps,-pyside2,-pyqt5,-shapely,-specutils}{,-cov} py{39,310,311}-test-numpy{120,121,122,123} py{39,310,311}-test-astropylts py{39,310,311}-test-{numpy,astropy,linetools,ginga}dev @@ -65,10 +65,11 @@ deps = # The following indicates which extras_require from setup.cfg will be installed extras = test - alldeps: pyside2,pyqt5,shapely + alldeps: pyside2,pyqt5,shapely,specutils pyside2: pyside2 pyqt5: pyqt5 shapely: shapely + specutils: specutils commands = pip freeze From 299ebe7413b88d0a924fd6459af4d808aec7e2e8 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 23 Mar 2023 16:22:00 -0700 Subject: [PATCH 093/308] so many masters... --- doc/scripts/build_calib_images_rst.py | 12 +-- pypeit/core/datacube.py | 24 ++--- pypeit/core/gui/identify.py | 3 +- pypeit/core/qa.py | 10 +- pypeit/core/tracewave.py | 10 +- pypeit/core/wavecal/autoid.py | 2 +- pypeit/core/wavecal/templates.py | 4 +- pypeit/images/buildimage.py | 12 +-- pypeit/images/rawimage.py | 22 ++-- pypeit/metadata.py | 128 ------------------------ pypeit/par/pypeitpar.py | 7 -- pypeit/scripts/chk_alignments.py | 8 +- pypeit/scripts/chk_edges.py | 13 +-- pypeit/scripts/chk_flats.py | 9 +- pypeit/scripts/chk_wavecalib.py | 13 ++- pypeit/scripts/parse_slits.py | 6 +- pypeit/scripts/qa_html.py | 1 - pypeit/scripts/run_pypeit.py | 6 +- pypeit/scripts/show_2dspec.py | 2 +- pypeit/scripts/show_wvcalib.py | 4 +- pypeit/sensfunc.py | 1 - pypeit/spectrographs/bok_bc.py | 2 +- pypeit/spectrographs/gemini_gmos.py | 4 +- pypeit/spectrographs/gemini_gnirs.py | 2 +- pypeit/spectrographs/gtc_osiris.py | 4 +- pypeit/spectrographs/keck_deimos.py | 2 +- pypeit/spectrographs/keck_kcwi.py | 2 +- pypeit/spectrographs/keck_lris.py | 18 ++-- pypeit/spectrographs/keck_mosfire.py | 8 +- pypeit/spectrographs/keck_nires.py | 2 +- pypeit/spectrographs/keck_nirspec.py | 2 +- pypeit/spectrographs/lbt_mods.py | 10 +- pypeit/spectrographs/ldt_deveny.py | 2 +- pypeit/spectrographs/magellan_mage.py | 2 +- pypeit/spectrographs/mmt_binospec.py | 4 +- pypeit/spectrographs/mmt_bluechannel.py | 2 +- pypeit/spectrographs/mmt_mmirs.py | 2 +- pypeit/spectrographs/ntt_efosc2.py | 2 +- pypeit/spectrographs/p200_dbsp.py | 9 +- pypeit/spectrographs/p200_tspec.py | 2 +- pypeit/spectrographs/soar_goodman.py | 2 +- pypeit/spectrographs/spectrograph.py | 10 +- pypeit/spectrographs/vlt_xshooter.py | 8 +- pypeit/tests/test_calibframe.py | 2 +- pypeit/tests/test_match.py | 7 +- pypeit/tests/test_runpypeit.py | 2 +- pypeit/tests/test_slittrace.py | 2 +- pypeit/tests/test_spec2dobj.py | 2 +- pypeit/wavetilts.py | 16 +-- 49 files changed, 140 insertions(+), 289 deletions(-) diff --git a/doc/scripts/build_calib_images_rst.py b/doc/scripts/build_calib_images_rst.py index 116a35035e..53e2209d7b 100644 --- a/doc/scripts/build_calib_images_rst.py +++ b/doc/scripts/build_calib_images_rst.py @@ -289,7 +289,7 @@ def flatfield_datamodel(output_root): # Set the output directory output_root = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' - # Simple datamodels for MasterArc, MasterBias, MasterDark, MasterTiltimg + # Simple datamodels for Arc, Bias, Dark, Tiltimg for obj in [buildimage.ArcImage, buildimage.BiasImage, buildimage.DarkImage, buildimage.TiltImage]: @@ -304,7 +304,7 @@ def flatfield_datamodel(output_root): print('Wrote: {}'.format(ofile)) - # All data written to a single extension for MasterAlignments and MasterTilts + # All data written to a single extension for Alignments and Tilts from pypeit.alignframe import Alignments single_table_datamodel(Alignments, output_root, 'ALIGN', 'Spatial alignment data; see :class:`~pypeit.alignframe.Alignments`.') @@ -312,16 +312,16 @@ def flatfield_datamodel(output_root): single_table_datamodel(WaveTilts, output_root, 'TILTS', 'Tilts data; see :class:`~pypeit.wavetilts.WaveTilts`.') - # MasterEdges + # Edges edges_datamodel(output_root) - # MasterSlits + # Slits slits_datamodel(output_root) - # MasterWaveCalib + # WaveCalib wavecalib_datamodel(output_root) - # MasterFlat + # Flat flatfield_datamodel(output_root) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ccdd5e4224..d989af91ff 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -756,7 +756,7 @@ def make_whitelight_fromref(all_ra, all_dec, all_wave, all_sci, all_wghts, all_i coord_dlt = refwcs.wcs.cdelt coord_min[2] = np.min(all_wave) coord_dlt[2] = np.max(all_wave) - np.min(all_wave) # For white light, we want to bin all wavelength pixels - wlwcs = generate_masterWCS(coord_min, coord_dlt) + wlwcs = generate_WCS(coord_min, coord_dlt) # Generate white light images whitelight_imgs, _, _ = make_whitelight_frompixels(all_ra, all_dec, all_wave, all_sci, all_wghts, all_idx, dspat, @@ -810,10 +810,10 @@ def make_whitelight_frompixels(all_ra, all_dec, all_wave, all_sci, all_wghts, al numfiles = np.unique(all_idx).size if whitelightWCS is None: - # Generate a master 2D WCS to register all frames + # Generate a 2D WCS to register all frames coord_min = [np.min(all_ra), np.min(all_dec), np.min(all_wave)] coord_dlt = [dspat, dspat, np.max(all_wave) - np.min(all_wave)] - whitelightWCS = generate_masterWCS(coord_min, coord_dlt) + whitelightWCS = generate_WCS(coord_min, coord_dlt) # Generate coordinates cosdec = np.cos(np.mean(all_dec) * np.pi / 180.0) @@ -859,7 +859,7 @@ def make_whitelight_frompixels(all_ra, all_dec, all_wave, all_sci, all_wghts, al return whitelight_Imgs, whitelight_ivar, whitelightWCS -def generate_masterWCS(crval, cdelt, equinox=2000.0, name="Instrument Unknown"): +def generate_WCS(crval, cdelt, equinox=2000.0, name="Instrument Unknown"): """ Generate a WCS that will cover all input spec2D files @@ -877,7 +877,7 @@ def generate_masterWCS(crval, cdelt, equinox=2000.0, name="Instrument Unknown"): `astropy.wcs.wcs.WCS`_ : astropy WCS to be used for the combined cube """ # Create a new WCS object. - msgs.info("Generating Master WCS") + msgs.info("Generating WCS") w = wcs.WCS(naxis=3) w.wcs.equinox = equinox w.wcs.name = name @@ -940,10 +940,10 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white idx_max = np.unravel_index(np.argmax(whitelight_img), whitelight_img.shape) msgs.info("Highest S/N object located at spaxel (x, y) = {0:d}, {1:d}".format(idx_max[0], idx_max[1])) - # Generate a master 2D WCS to register all frames + # Generate a 2D WCS to register all frames coord_min = [np.min(all_ra), np.min(all_dec), np.min(all_wave)] coord_dlt = [dspat, dspat, dwv] - whitelightWCS = generate_masterWCS(coord_min, coord_dlt) + whitelightWCS = generate_WCS(coord_min, coord_dlt) # Make the bin edges to be at +/- 1 pixels around the maximum (i.e. summing 9 pixels total) numwav = int((np.max(all_wave) - np.min(all_wave)) / dwv) xbins = np.array([idx_max[0]-1, idx_max[0]+2]) - 0.5 @@ -1645,10 +1645,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): wav_max = cubepar['wave_max'] if cubepar['wave_max'] is not None else np.max(all_wave) if cubepar['wave_delta'] is not None: dwv = cubepar['wave_delta'] - # Generate a master WCS to register all frames + # Generate a WCS to register all frames coord_min = [ra_min, dec_min, wav_min] coord_dlt = [dspat, dspat, dwv] - masterwcs = generate_masterWCS(coord_min, coord_dlt, name=specname) + coord_wcs = generate_WCS(coord_min, coord_dlt, name=specname) msgs.info(msgs.newline()+"-"*40 + msgs.newline() + "Parameters of the WCS:" + msgs.newline() + "RA min, max = {0:f}, {1:f}".format(ra_min, ra_max) + @@ -1669,12 +1669,12 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Make the cube msgs.info("Generating pixel coordinates") - pix_coord = masterwcs.wcs_world2pix(all_ra, all_dec, all_wave * 1.0E-10, 0) - hdr = masterwcs.to_header() + pix_coord = coord_wcs.wcs_world2pix(all_ra, all_dec, all_wave * 1.0E-10, 0) + hdr = coord_wcs.to_header() sensfunc = None if flux_spline is not None: - wcs_wav = masterwcs.wcs_pix2world(np.vstack((np.zeros(numwav), np.zeros(numwav), np.arange(numwav))).T, 0) + wcs_wav = coord_wcs.wcs_pix2world(np.vstack((np.zeros(numwav), np.zeros(numwav), np.arange(numwav))).T, 0) senswave = wcs_wav[:, 2] * 1.0E10 sensfunc = flux_spline(senswave) diff --git a/pypeit/core/gui/identify.py b/pypeit/core/gui/identify.py index 605f4bab81..545f8d8d79 100644 --- a/pypeit/core/gui/identify.py +++ b/pypeit/core/gui/identify.py @@ -254,7 +254,7 @@ def initialise(cls, arccen, lamps, slits, slit=0, par=None, wv_calib_all=None, msgs.warn("Wavelength calibration slits did not match!") msgs.info("Best-fitting wavelength solution will not be loaded.") wv_calib = None - msgs.info(f"Loading lamps from master wavelength solution: {wv_calib_all.lamps}") + msgs.info(f"Loading lamps from wavelength solution: {wv_calib_all.lamps}") lamps = wv_calib_all.lamps.split(",") # Must specify `wv_calib = None` otherwise else: @@ -757,7 +757,6 @@ def store_solution(self, final_fit, binspec, rmstol=0.15, ans = 'y' if ans == 'y': # Arxiv solution - #outroot = templates.pypeit_identify_record(final_fit, binspec, specname, gratname, dispangl, outdir=master_dir) wavelengths = self._fitdict['full_fit'].eval(np.arange(self.specdata.size) / (self.specdata.size - 1)) diff --git a/pypeit/core/qa.py b/pypeit/core/qa.py index 3b5694f339..92dd612ed7 100644 --- a/pypeit/core/qa.py +++ b/pypeit/core/qa.py @@ -233,11 +233,11 @@ def html_init(f, title): def html_mf_pngs(idval): - """ Generate HTML for MasterFrame PNGs + """ Generate HTML for QA PNGs Args: idval: str - Master key of the calibration set + Key identifier of the calibration set Returns: tuple: @@ -379,9 +379,9 @@ def gen_qa_dir(qa_path): if not os.path.exists(qa_path): os.makedirs(qa_path) - +# TODO: Need to revisit this... def gen_mf_html(pypeit_file, qa_path): - """ Generate the HTML for a MasterFrame set + """ Generate the HTML for QA Args: pypeit_file (str): @@ -412,7 +412,7 @@ def gen_mf_html(pypeit_file, qa_path): body = '' with open(MF_filename,'w') as f: # Start - links = html_init(f, 'QA Setup {:s}: MasterFrame files'.format(setup)) + links = html_init(f, 'QA Setup {:s}: Calibration files'.format(setup)) # Loop on calib_sets for cbset in cbsets: for det in dets: diff --git a/pypeit/core/tracewave.py b/pypeit/core/tracewave.py index 89a49f97d8..c9da4f75be 100644 --- a/pypeit/core/tracewave.py +++ b/pypeit/core/tracewave.py @@ -641,7 +641,7 @@ def trace_tilts(arcimg, lines_spec, lines_spat, thismask, slit_cen, inmask=None, def fit_tilts(trc_tilt_dict, thismask, slit_cen, spat_order=3, spec_order=4, maxdev=0.2, maxiter=100, sigrej=3.0, pad_spec=30, pad_spat=5, func2d='legendre2d', - doqa=True, master_key='test', slitord_id=0, show_QA=False, out_dir=None, + doqa=True, calib_key='test', slitord_id=0, show_QA=False, out_dir=None, minmax_extrap=(150.,1000.)): """ THIS NEEDS A DOC STRING @@ -808,12 +808,12 @@ def fit_tilts(trc_tilt_dict, thismask, slit_cen, spat_order=3, spec_order=4, max # TODO: I think we should do the QA outside of core functions. if doqa: arc_tilts_2d_qa(tilts_dspat, tilts, tilts_2dfit, tot_mask, rej_mask, spat_order, spec_order, - rms_fit, fwhm, slitord_id=slitord_id, setup=master_key, show_QA=show_QA, out_dir=out_dir) + rms_fit, fwhm, slitord_id=slitord_id, setup=calib_key, show_QA=show_QA, out_dir=out_dir) arc_tilts_spat_qa(tilts_dspat, tilts, tilts_2dfit, tilts_spec, tot_mask, rej_mask, spat_order, - spec_order, rms_fit, fwhm, slitord_id=slitord_id, setup=master_key, show_QA=show_QA, + spec_order, rms_fit, fwhm, slitord_id=slitord_id, setup=calib_key, show_QA=show_QA, out_dir=out_dir) arc_tilts_spec_qa(tilts_spec, tilts, tilts_2dfit, tot_mask, rej_mask, rms_fit, fwhm, - slitord_id=slitord_id, setup=master_key, show_QA=show_QA, out_dir=out_dir) + slitord_id=slitord_id, setup=calib_key, show_QA=show_QA, out_dir=out_dir) return tilt_fit_dict, trc_tilt_dict_out @@ -1096,3 +1096,5 @@ def arc_tilts_spat_qa(tilts_dspat, tilts, tilts_model, tilts_spec_fit, tot_mask, plt.close() plt.rcdefaults() + + diff --git a/pypeit/core/wavecal/autoid.py b/pypeit/core/wavecal/autoid.py index 5f4bb05bd6..4469740c2c 100644 --- a/pypeit/core/wavecal/autoid.py +++ b/pypeit/core/wavecal/autoid.py @@ -1567,7 +1567,7 @@ def run_brute(self, min_nlines=10): good_fit[slit] = self.report_prelim(slit, best_patt_dict, best_final_fit) # Now that all slits have been inspected, cross match to generate a - # master list of all lines in every slit, and refit all spectra + # list of all lines in every slit, and refit all spectra if self._nslit > 1: msgs.info('Checking wavelength solution by cross-correlating with all slits') diff --git a/pypeit/core/wavecal/templates.py b/pypeit/core/wavecal/templates.py index 77689b4ecb..5f2f304574 100644 --- a/pypeit/core/wavecal/templates.py +++ b/pypeit/core/wavecal/templates.py @@ -45,6 +45,8 @@ # print("You may wish to set the PYPEIT_DEV environment variable") pass +# TODO: Rename the "Master" files here? + def build_template(in_files, slits, wv_cuts, binspec, outroot, outdir=None, normalize=False, subtract_conti=False, wvspec=None, @@ -57,7 +59,7 @@ def build_template(in_files, slits, wv_cuts, binspec, outroot, outdir=None, Args: in_files (list or str): Wavelength solution files, XIDL or PypeIt - If PypeIt, they can be a mix of MasterWaveCalib JSON and FITS files + If PypeIt, they can be a mix of WaveCalib JSON and FITS files slits (list): Slits in the archive files to use wv_cuts (list): diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 63d5ae97f7..afaafc464f 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -27,7 +27,7 @@ class ArcImage(pypeitimage.PypeItCalibrationImage): ) hdu_prefix = 'ARC_' - # Master fun + # Calibration type calib_type = 'Arc' @@ -41,7 +41,7 @@ class AlignImage(pypeitimage.PypeItCalibrationImage): output_to_disk = ('ALIGN_IMAGE', 'ALIGN_FULLMASK', 'ALIGN_DETECTOR') hdu_prefix = 'ALIGN_' - # Master fun + # Calibration type calib_type = 'Align' @@ -79,7 +79,7 @@ class TiltImage(pypeitimage.PypeItCalibrationImage): output_to_disk = ('TILT_IMAGE', 'TILT_FULLMASK', 'TILT_DETECTOR') hdu_prefix = 'TILT_' - # Master fun + # Calibration type calib_type = 'Tiltimg' @@ -113,7 +113,7 @@ class SkyRegions(pypeitimage.PypeItCalibrationImage): output_to_disk = ('SKYREG_IMAGE') hdu_prefix = 'SKYREG_' - # Master fun + # Calibration type and file format calib_type = 'SkyRegions' calib_file_format = 'fits.gz' @@ -137,10 +137,6 @@ def construct_file_name(cls, calib_key, calib_dir=None, basename=None): """ filename = super().construct_file_name(calib_key, calib_dir=calib_dir) return filename.replace(f'.{cls.calib_file_format}', f'_{basename}.{cls.calib_file_format}') - - filename.replace - - # Convert frame type into an Image. These all should subclass from diff --git a/pypeit/images/rawimage.py b/pypeit/images/rawimage.py index 89c7c8de82..f4a2f53764 100644 --- a/pypeit/images/rawimage.py +++ b/pypeit/images/rawimage.py @@ -203,7 +203,7 @@ def bpm(self): """ if self._bpm is None: - # TODO: Pass master bias if there is one? Only if `bpm_usebias` is + # TODO: Pass msbias if there is one? Only if `bpm_usebias` is # true in the calibrations parameter set, but we don't have access # to that here. Add it as a parameter of ProcessImagesPar? self._bpm = self.spectrograph.bpm(self.filename, self.det, shape=self.image.shape[1:]) @@ -412,10 +412,10 @@ def process(self, par, bpm=None, flatimages=None, bias=None, slits=None, dark=No coordinates ordered along the second, ``(spec, spat)`` --- with blue to red going from small pixel numbers to large. - #. :func:`subtract_bias`: Subtract the master bias image. The shape - and orientation of the bias image must match the *processed* - image. I.e., if you trim and orient this image, you must also - have trimmed and oriented the bias frames. + #. :func:`subtract_bias`: Subtract the processed bias image. The + shape and orientation of the bias image must match the + *processed* image. I.e., if you trim and orient this image, you + must also have trimmed and oriented the bias frames. #. :func:`build_dark`: Create dark-current images using both the tabulated dark-current value for each detector and any directly @@ -427,7 +427,7 @@ def process(self, par, bpm=None, flatimages=None, bias=None, slits=None, dark=No from the image being processed, set the ``dark_expscale`` parameter to true. - #. :func:`subtract_dark`: Subtract the master dark image and + #. :func:`subtract_dark`: Subtract the processed dark image and propagate any error. #. :func:`build_mosaic`: If data from multiple detectors are being @@ -573,10 +573,10 @@ def process(self, par, bpm=None, flatimages=None, bias=None, slits=None, dark=No # - Check the shape of the bpm if self.bpm.shape != self.image.shape: - # TODO: The logic of whether or not the BPM uses the master bias to - # identify bad pixels is difficult to follow. Where and how the bpm - # is created, and whether or not it uses the master bias should be - # more clean. + + # TODO: The logic of whether or not the BPM uses msbias to identify + # bad pixels is difficult to follow. Where and how the bpm is + # created, and whether or not it uses msbias should be more clear. # The BPM is the wrong shape. Assume this is because the # calibrations were taken with a different binning than the science @@ -597,7 +597,7 @@ def process(self, par, bpm=None, flatimages=None, bias=None, slits=None, dark=No f'({os.path.basename(self.filename)}) and assuming the difference in the ' 'binning will be handled later in the code.') - # - Subtract master bias + # - Subtract processed bias if self.par['use_biasimage']: # Bias frame. Shape and orientation must match *processed* image,. # Uncertainty from the bias subtraction is added to the variance. diff --git a/pypeit/metadata.py b/pypeit/metadata.py index a074451441..993ca168d0 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -407,52 +407,6 @@ def get_configuration(self, indx, cfg_keys=None): _cfg_keys = self.spectrograph.configuration_keys() if cfg_keys is None else cfg_keys return {k:self.table[k][indx] for k in _cfg_keys} - def master_key(self, row, det=1, master_setup_and_bit:str=None): - """ - Construct the master key for the file in the provided row. - - The master key is the combination of the configuration, the - calibration group, and the detector. The configuration ID is - the same as included in the configuration column (A, B, C, etc), - the calibration group is the same as the calibration bit number, - and the detector number is provided as an argument and converted - to a zero-filled string with two digits (the maximum number of - detectors is 99). - - Using the calibration bit in the keyword allows MasterFrames to - be used with multiple calibration groups. - - Args: - row (:obj:`int`): - The 0-indexed row used to construct the key. - det (:obj:`int`, :obj:`tuple`, optional): - The 1-indexed detector number(s). If a tuple, it must include - detectors designated as a viable mosaic for - :attr:`spectrograph`; see - :func:`~pypeit.spectrographs.spectrograph.Spectrograph.allowed_mosaics`. - master_setup_and_bit (:obj:`str`, optional): - If provided, the master key is constructed using the - provided string and detector name. - - Returns: - :obj:`str`: Master key with configuration, calibration group(s), and - detector. - - Raises: - PypeItError: - Raised if the 'setup' or 'calibbit' columns - haven't been defined. - """ - if 'setup' not in self.keys() or 'calibbit' not in self.keys(): - msgs.error('Cannot provide master key string without setup and calibbit; ' - 'run set_configurations and set_calibration_groups.') - det_name = self.spectrograph.get_det_name(det) - # Finish - if master_setup_and_bit is not None: - return master_setup_and_bit + '_' + det_name - else: - return f"{self['setup'][row]}_{self['calibbit'][row]}_{det_name}" - def construct_obstime(self, row): """ Construct the MJD of when the frame was observed. @@ -1546,88 +1500,6 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, ff.write('##end\n') ff.close() -# def write_calib(self, ofile, overwrite=True, ignore=None): -# """ -# Write the calib file. -# -# The calib file provides the unique instrument configurations -# (setups) and the association of each frame from that -# configuration with a given calibration group. -# -# .. todo:: -# - This is complicated by allowing some frame types to have -# no association with an instrument configuration -# - This is primarily used for QA now. Should allow this file to be -# generated using the pypeit file instead. -# -# Args: -# ofile (:obj:`str`, `Path`_): -# Name for the output sorted file. -# overwrite (:obj:`bool`, optional): -# Overwrite any existing file with the same name. -# ignore (:obj:`list`, optional): -# Ignore calibration groups in the provided list. -# -# Raises: -# PypeItError: -# Raised if the 'setup' or 'calibbit' columns haven't been -# defined. -# """ -# if 'setup' not in self.keys() or 'calibbit' not in self.keys(): -# msgs.error('Cannot write calibration groups without \'setup\' and \'calibbit\' ' -# 'columns; run set_configurations and set_calibration_groups.') -# -# _ofile = Path(ofile).resolve() -# if _ofile.exists() and not overwrite: -# msgs.error(f'{_ofile} already exists. Use ovewrite=True to overwrite.') -# -# # Construct the setups dictionary -# cfg = self.unique_configurations(copy=True, rm_none=True) -# -# _cfg = {} -# for setup in cfg.keys(): -# _cfg[setup] = {} -# _cfg[setup]['--'] = deepcopy(cfg[setup]) -# cfg = _cfg -# -# # Iterate through the calibration bit names as these are the root of the -# # MasterFrames and QA -# for icbit in np.unique(self['calibbit'].data): -# cbit = int(icbit) # for yaml -# # Skip this group -# if ignore is not None and cbit in ignore: -# continue -# -# # Find the frames in this group -# #in_group = self.find_calib_group(i) -# in_cbit = self['calibbit'] == cbit -# -# # Find the unique configurations in this group, ignoring any -# # undefined ('None') configurations -# #setup = np.unique(self['setup'][in_group]).tolist() -# setup = np.unique(self['setup'][in_cbit]).tolist() -# if 'None' in setup: -# setup.remove('None') -# -# # Make sure that each calibration group should only contain -# # frames from a single configuration -# if len(setup) != 1: -# msgs.error('Each calibration group must be from one and only one instrument ' -# 'configuration with a valid letter identifier; i.e., the ' -# 'configuration cannot be None.') -# -# # Find the frames of each type in this group -# cfg[setup[0]][cbit] = {} -# for key in self.type_bitmask.keys(): -# #ftype_in_group = self.find_frames(key) & in_group -# ftype_in_group = self.find_frames(key) & in_cbit -# cfg[setup[0]][cbit][key] = [ os.path.join(d,f) -# for d,f in zip(self['directory'][ftype_in_group], -# self['filename'][ftype_in_group])] -# # Write it -# with open(_ofile, 'w') as ff: -# ff.write(yaml.dump(utils.yamlify(cfg))) - def write_pypeit(self, output_path=None, cfg_lines=None, write_bkg_pairs=False, write_manual=False, configs=None): diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index b3d9a626aa..531a68cf66 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -4144,13 +4144,6 @@ def from_dict(cls, cfg): # be called for all the sub parameter sets, but this can do higher # level checks, if necessary. - # JFH I'm not sure what to do about this function? Commentingo out for now. - #def validate(self): - # if self.data['masters'] == 'force' \ - # and (self.data['setup'] is None or len(self.data['setup']) == 0): - # raise ValueError('When forcing use of master frames, you must specify the setup to ' - # 'be used using the \'setup\' keyword.') - #----------------------------------------------------------------------------- # Parameters superset class PypeItPar(ParSet): diff --git a/pypeit/scripts/chk_alignments.py b/pypeit/scripts/chk_alignments.py index bb1f572be7..a484d494e7 100644 --- a/pypeit/scripts/chk_alignments.py +++ b/pypeit/scripts/chk_alignments.py @@ -14,11 +14,11 @@ class ChkAlignments(scriptbase.ScriptBase): def get_parser(cls, width=None): from pypeit.spectrographs import available_spectrographs - parser = super().get_parser(description='Display MasterAlignment image and the trace data', + parser = super().get_parser(description='Display Alignment image and the trace data', width=width) - parser.add_argument('master_file', type=str, default = None, - help='PypeIt Master Alignment file [e.g. MasterAlignment_A_1_01.fits]') + parser.add_argument('file', type=str, default = None, + help='PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits]') parser.add_argument('--chname', default='Alignments', type=str, help='Channel name for image in Ginga') return parser @@ -28,7 +28,7 @@ def main(pargs): from pypeit import alignframe # Load - alignments = alignframe.Alignments.from_file(pargs.master_file) + alignments = alignframe.Alignments.from_file(pargs.file) # Show alignments.show() diff --git a/pypeit/scripts/chk_edges.py b/pypeit/scripts/chk_edges.py index 313fca77e8..db6db0f76f 100644 --- a/pypeit/scripts/chk_edges.py +++ b/pypeit/scripts/chk_edges.py @@ -12,26 +12,17 @@ class ChkEdges(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): - parser = super().get_parser(description='Display MasterEdges image and trace data', + parser = super().get_parser(description='Display trace image and edge traces', width=width) parser.add_argument('trace_file', type=str, default = None, - help='PypeIt Master Trace file [e.g. MasterEdges_A_01_aa.fits.gz]') - parser.add_argument('--chname', default='MTrace', type=str, - help='Channel name for image in Ginga') + help='PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz]') parser.add_argument('--mpl', default=False, action='store_true', help='Use a matplotlib window instead of ginga to show the trace') parser.add_argument('--try_old', default=False, action='store_true', help='Attempt to load old datamodel versions. A crash may ensue..') return parser - # TODO: JFH I don't see why we are showing the edges and/or what the purpose - # of all this if synced not synced is fore. edgetrace seems to crash if the - # syncing fails. So if we have successfuly run EdgeTrace, we create a - # slittrace object and the slittrace object is the thing we should be - # showing not the edgetrace object. This has the advantage that then orders - # are correctly labeled for Echelle which is not the case with the current - # show method. @staticmethod def main(pargs): from pypeit import edgetrace diff --git a/pypeit/scripts/chk_flats.py b/pypeit/scripts/chk_flats.py index ee04698e4c..92211ca894 100644 --- a/pypeit/scripts/chk_flats.py +++ b/pypeit/scripts/chk_flats.py @@ -12,12 +12,12 @@ class ChkFlats(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): - parser = super().get_parser(description='Display MasterFlat images in Ginga viewer', + parser = super().get_parser(description='Display flat images in Ginga viewer', width=width) + parser.add_argument('file', type=str, + help='PypeIt Flat file [e.g. Flat_A_1_DET01.fits]') parser.add_argument("--type", type=str, default='all', help="Which flats to display. Must be one of: pixel, illum, all") - parser.add_argument('master_file', type=str, - help='PypeIt MasterFlat file [e.g. MasterFlat_A_1_01.fits]') parser.add_argument('--try_old', default=False, action='store_true', help='Attempt to load old datamodel versions. A crash may ensue..') return parser @@ -28,8 +28,7 @@ def main(args): from pypeit import flatfield # Load - flatImages = flatfield.FlatImages.from_file(args.master_file, - chk_version=(not args.try_old)) + flatImages = flatfield.FlatImages.from_file(args.file, chk_version=(not args.try_old)) # Show flatImages.show(args.type) diff --git a/pypeit/scripts/chk_wavecalib.py b/pypeit/scripts/chk_wavecalib.py index 9023a3844c..f3d2a98a58 100644 --- a/pypeit/scripts/chk_wavecalib.py +++ b/pypeit/scripts/chk_wavecalib.py @@ -16,9 +16,8 @@ def get_parser(cls, width=None): width=width) parser.add_argument('input_file', type=str, - help='PypeIt MasterWaveCalib file [e.g. MasterWaveCalib_A_1_01.fits] or spec2d file') - #parser.add_argument('--try_old', default=False, action='store_true', - # help='Attempt to load old datamodel versions. A crash may ensue..') + help='PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or ' + 'spec2d file') return parser @staticmethod @@ -31,14 +30,14 @@ def main(args): # What kind of file are we?? Similar to pypeit_parse_slits hdul = fits.open(args.input_file) head0 = hdul[0].header - if 'MSTRTYP' in head0.keys() and head0['MSTRTYP'].strip() == 'WaveCalib': - file_type = 'MasterWaveCalib' + if 'CALIBTYP' in head0.keys() and head0['CALIBTYP'].strip() == 'WaveCalib': + file_type = 'WaveCalib' elif 'PYP_CLS' in head0.keys() and head0['PYP_CLS'].strip() == 'AllSpec2DObj': file_type = 'AllSpec2D' else: - raise IOError("Unrecognized file type. Must be a MasterWaveCalib or spec2d file.") + raise IOError("Unrecognized file type. Must be a WaveCalib or spec2d file.") - if file_type == 'MasterWaveCalib': + if file_type == 'WaveCalib': # Load waveCalib = wavecalib.WaveCalib.from_file(args.input_file) #, chk_version=(not args.try_old)) diff --git a/pypeit/scripts/parse_slits.py b/pypeit/scripts/parse_slits.py index 2399bb928e..cbc3804d98 100644 --- a/pypeit/scripts/parse_slits.py +++ b/pypeit/scripts/parse_slits.py @@ -36,7 +36,7 @@ class ParseSlits(scriptbase.ScriptBase): def get_parser(cls, width=None): parser = super().get_parser(description='Print info on slits from a input file', width=width) - parser.add_argument('input_file', type=str, help='Either a spec2D or MasterSlits filename') + parser.add_argument('input_file', type=str, help='Either a spec2D or Slits filename') return parser @@ -53,13 +53,13 @@ def main(pargs): hdul = fits.open(pargs.input_file) head0 = hdul[0].header if 'MSTRTYP' in head0.keys() and head0['MSTRTYP'].strip() == 'Slits': - file_type = 'MasterSlits' + file_type = 'Slits' elif 'PYP_CLS' in head0.keys() and head0['PYP_CLS'].strip() == 'AllSpec2DObj': file_type = 'AllSpec2D' else: raise IOError("Bad file type input!") - if file_type == 'MasterSlits': + if file_type == 'Slits': slits = slittrace.SlitTraceSet.from_file(pargs.input_file)#, chk_version=False) print_slits(slits) elif file_type == 'AllSpec2D': diff --git a/pypeit/scripts/qa_html.py b/pypeit/scripts/qa_html.py index 9867094d8e..a768ee3224 100644 --- a/pypeit/scripts/qa_html.py +++ b/pypeit/scripts/qa_html.py @@ -46,7 +46,6 @@ def main(args, unit_test=False, path=''): elif args.type == 'all': flg_exp, flg_MF = True, True - # Master Frame if flg_MF: qa.gen_mf_html(args.pypeit_file, args.qapath) diff --git a/pypeit/scripts/run_pypeit.py b/pypeit/scripts/run_pypeit.py index 7a3211c320..21a993afac 100644 --- a/pypeit/scripts/run_pypeit.py +++ b/pypeit/scripts/run_pypeit.py @@ -60,8 +60,8 @@ def get_parser(cls, width=None): parser.add_argument('-r', '--redux_path', default=None, help='Path to directory for the reduction. Only advised for testing') - parser.add_argument('-m', '--do_not_reuse_masters', default=False, action='store_true', - help='Do not load previously generated MasterFrames, even ones made ' + parser.add_argument('-m', '--do_not_reuse_calibs', default=False, action='store_true', + help='Do not load previously generated calibrations, even ones made ' 'during the run.') parser.add_argument('-s', '--show', default=False, action='store_true', help='Show reduction steps via plots (which will block further ' @@ -95,7 +95,7 @@ def main(args): # Instantiate the main pipeline reduction object pypeIt = pypeit.PypeIt(args.pypeit_file, verbosity=args.verbosity, - reuse_masters=np.invert(args.do_not_reuse_masters), + reuse=np.invert(args.do_not_reuse_calibs), overwrite=args.overwrite, redux_path=args.redux_path, calib_only=args.calib_only, diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index 3426e204c2..37846ca4a3 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -226,7 +226,7 @@ def main(args): # TODO Place holder for putting in sensfunc #if args.sensfunc: # # Load the sensitivity function - # wave_sens, sfunc, _, _, _ = sensfunc.SensFunc.load(sensfunc_masterframe_name) + # wave_sens, sfunc, _, _, _ = sensfunc.SensFunc.load(sensfunc_name) # # Interpolate the sensitivity function onto the wavelength grid of the data. Since the image is rectified # # this is trivial and we don't need to do a 2d interpolation # sens_factor = flux_calib.get_sensfunc_factor( diff --git a/pypeit/scripts/show_wvcalib.py b/pypeit/scripts/show_wvcalib.py index fe2abbf5c2..78d484b1ac 100644 --- a/pypeit/scripts/show_wvcalib.py +++ b/pypeit/scripts/show_wvcalib.py @@ -21,9 +21,9 @@ class ShowWvCalib(scriptbase.ScriptBase): def get_parser(cls, width=None): parser = super().get_parser(description='Show the result of wavelength calibration', width=width) - parser.add_argument("file", type=str, help="MasterWaveCalib file") + parser.add_argument("file", type=str, help="WaveCalib file") parser.add_argument("slit_order", type=int, help="Slit or Order number") - parser.add_argument("--slit_file", type=str, help="Master Slit file") + parser.add_argument("--slit_file", type=str, help="Slit file") parser.add_argument("--is_order", default=False, action="store_true", help="Input slit/order is an order") return parser diff --git a/pypeit/sensfunc.py b/pypeit/sensfunc.py index 40bde208e2..1be8e989e6 100644 --- a/pypeit/sensfunc.py +++ b/pypeit/sensfunc.py @@ -32,7 +32,6 @@ # TODO Add the data model up here as a standard thing using DataContainer. -# TODO Should this be a master frame? I think not. # TODO Standard output location for sensfunc? # TODO Add some QA plots, and plots to the screen if show is set. diff --git a/pypeit/spectrographs/bok_bc.py b/pypeit/spectrographs/bok_bc.py index 2fdac75e55..9ccf88961d 100644 --- a/pypeit/spectrographs/bok_bc.py +++ b/pypeit/spectrographs/bok_bc.py @@ -274,7 +274,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/gemini_gmos.py b/pypeit/spectrographs/gemini_gmos.py index 2f0d4cb009..fe08b8cbeb 100644 --- a/pypeit/spectrographs/gemini_gmos.py +++ b/pypeit/spectrographs/gemini_gmos.py @@ -368,7 +368,7 @@ def get_rawimage(self, raw_file, det): order = self.hdu_read_order() for ii in range(nimg): - # insert extensions into master image... + # insert extensions into calibration image... for kk, jj in enumerate(order[_det[ii]-1]): # grab complete extension... data, overscan, datasec, biassec, x1, x2 = gemini_read_amp(hdu, jj) @@ -860,7 +860,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Processed image shape. If ``filename`` is None, this *must* be provided; otherwise, this is ignored. msbias (:class:`~pypeit.images.pypeitimage.PypeItImage`, optional): - Master bias frame. If provided, it is used by + Processed bias frame. If provided, it is used by :func:`~pypeit.spectrographs.spectrograph.Spectrograph.bpm_frombias` to identify bad pixels. diff --git a/pypeit/spectrographs/gemini_gnirs.py b/pypeit/spectrographs/gemini_gnirs.py index 2b371bba35..a68624a726 100644 --- a/pypeit/spectrographs/gemini_gnirs.py +++ b/pypeit/spectrographs/gemini_gnirs.py @@ -430,7 +430,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/gtc_osiris.py b/pypeit/spectrographs/gtc_osiris.py index 4d3faa594a..8393e062cc 100644 --- a/pypeit/spectrographs/gtc_osiris.py +++ b/pypeit/spectrographs/gtc_osiris.py @@ -382,7 +382,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. **This is + Processe bias frame used to identify bad pixels. **This is ignored for KCWI.** Returns: @@ -931,7 +931,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. **This is + Processed bias frame used to identify bad pixels. **This is ignored for KCWI.** Returns: diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 537689f36e..b6ceead3e9 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -887,7 +887,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 65a159f002..9d04558c71 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -720,7 +720,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. **This is + Processed bias frame used to identify bad pixels. **This is ignored for KCWI.** Returns: diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index 59cb8d0b5d..7e3b44f461 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -440,7 +440,7 @@ def get_rawimage(self, raw_file, det): rawdatasec_img = np.zeros_like(array, dtype=int) oscansec_img = np.zeros_like(array, dtype=int) - # insert extensions into master image... + # insert extensions into calibration image... for amp, i in enumerate(order[det_idx]): # grab complete extension... @@ -834,7 +834,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -981,7 +981,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. **This is + Processed bias frame used to identify bad pixels. **This is always ignored.** Returns: @@ -1147,20 +1147,18 @@ def default_pypeit_par(cls): return par - def get_ql_master_dir(self, file): + def get_ql_calib_dir(self, file): """ - Returns master file directory for quicklook reductions. + Returns calibration file directory for quicklook reductions. Args: file (str): Image file Returns: - master_dir (str): - Quicklook Master directory + :obj:`str`: Quicklook calibrations directory """ - lris_grating = self.get_meta_value(file, 'dispname') lris_dichroic = self.get_meta_value(file, 'dichroic') setup_path = lris_grating.replace('/','_') + '_d' + lris_dichroic @@ -1273,7 +1271,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. + Processed bias frame used to identify bad pixels. Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -1632,7 +1630,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. **This is + Processed bias frame used to identify bad pixels. **This is always ignored.** Returns: diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index f05667c97f..5a3cd76f7f 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -132,20 +132,18 @@ def default_pypeit_par(cls): - def get_ql_master_dir(self, file): + def get_ql_calib_dir(self, file): """ - Returns master file directory for quicklook reductions. + Returns calibrations file directory for quicklook reductions. Args: file (str): Image file Returns: - master_dir (str): - Quicklook Master directory + :obj:`str`: Quicklook calibrations directory """ - mosfire_filter = self.get_meta_value(file, 'filter1') return os.path.join(self.name, mosfire_filter) diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 192387825a..335b3bb49f 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -394,7 +394,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. + Processed bias frame used to identify bad pixels. Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/keck_nirspec.py b/pypeit/spectrographs/keck_nirspec.py index 401041862c..db6f9cf31b 100644 --- a/pypeit/spectrographs/keck_nirspec.py +++ b/pypeit/spectrographs/keck_nirspec.py @@ -294,7 +294,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/lbt_mods.py b/pypeit/spectrographs/lbt_mods.py index 4e725d51ef..2600a0dfd3 100644 --- a/pypeit/spectrographs/lbt_mods.py +++ b/pypeit/spectrographs/lbt_mods.py @@ -52,7 +52,7 @@ def default_pypeit_par(cls): par['calibrations']['standardframe']['exprng'] = [1, 200] par['scienceframe']['exprng'] = [200, None] - # Do not sigmaclip the arc frames for better MasterArc and better wavecalib + # Do not sigmaclip the arc frames for better Arc and better wavecalib par['calibrations']['arcframe']['process']['clip'] = False # Do not sigmaclip the tilt frames par['calibrations']['tiltframe']['process']['clip'] = False @@ -372,7 +372,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -535,7 +535,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -691,7 +691,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -855,7 +855,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 059a1adcce..96fddf7d92 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -218,7 +218,7 @@ def default_pypeit_par(cls): par['calibrations']['bpm_usebias'] = True # Wavelength Calibration Parameters - # Do not sigmaclip the arc frames for better MasterArc and better wavecalib + # Do not sigmaclip the arc frames for better Arc and better wavecalib par['calibrations']['arcframe']['process']['clip'] = False # Do not sigmaclip the tilt frames par['calibrations']['tiltframe']['process']['clip'] = False diff --git a/pypeit/spectrographs/magellan_mage.py b/pypeit/spectrographs/magellan_mage.py index c0d8407766..bc29737afe 100644 --- a/pypeit/spectrographs/magellan_mage.py +++ b/pypeit/spectrographs/magellan_mage.py @@ -254,7 +254,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/mmt_binospec.py b/pypeit/spectrographs/mmt_binospec.py index 589ee3ff1b..09da88b175 100644 --- a/pypeit/spectrographs/mmt_binospec.py +++ b/pypeit/spectrographs/mmt_binospec.py @@ -235,7 +235,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -402,7 +402,7 @@ def get_rawimage(self, raw_file, det): elif det == 2: # B DETECTOR order = range(5, 9, 1) - # insert extensions into master image... + # insert extensions into calibration image... for kk, jj in enumerate(order): # grab complete extension... data, overscan, datasec, biassec = binospec_read_amp(hdu, jj) diff --git a/pypeit/spectrographs/mmt_bluechannel.py b/pypeit/spectrographs/mmt_bluechannel.py index 1800fd0500..70bd664362 100644 --- a/pypeit/spectrographs/mmt_bluechannel.py +++ b/pypeit/spectrographs/mmt_bluechannel.py @@ -301,7 +301,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/mmt_mmirs.py b/pypeit/spectrographs/mmt_mmirs.py index e79c61feee..3203002170 100644 --- a/pypeit/spectrographs/mmt_mmirs.py +++ b/pypeit/spectrographs/mmt_mmirs.py @@ -275,7 +275,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/ntt_efosc2.py b/pypeit/spectrographs/ntt_efosc2.py index 6423c0d5ef..09408d081a 100644 --- a/pypeit/spectrographs/ntt_efosc2.py +++ b/pypeit/spectrographs/ntt_efosc2.py @@ -329,7 +329,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/p200_dbsp.py b/pypeit/spectrographs/p200_dbsp.py index da0ec9c7d2..34b0117b6c 100644 --- a/pypeit/spectrographs/p200_dbsp.py +++ b/pypeit/spectrographs/p200_dbsp.py @@ -603,19 +603,20 @@ def bpm(self, filename, det, shape=None, msbias=None): Parameters ---------- - det : int, REQUIRED - msbias : numpy.ndarray, required if the user wishes to generate a BPM based on a master bias + det : int + Detector number + msbias : numpy.ndarray + Processed bias frame used when constructing the bpm (see :func:`bpm_frombias`) Returns ------- bpix : ndarray 0 = ok; 1 = Mask - """ msgs.info("Custom bad pixel mask for DBSPr") bpm_img = self.empty_bpm(filename, det, shape=shape) - # Fill in bad pixels if a master bias frame is provided + # Fill in bad pixels if a processed bias frame is provided if msbias is not None: return self.bpm_frombias(msbias, bpm_img) diff --git a/pypeit/spectrographs/p200_tspec.py b/pypeit/spectrographs/p200_tspec.py index 5971988406..fcb7084aae 100644 --- a/pypeit/spectrographs/p200_tspec.py +++ b/pypeit/spectrographs/p200_tspec.py @@ -271,7 +271,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels. **This is + Processed bias frame used to identify bad pixels. **This is always ignored.** Returns: diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index 9108ca5c8c..5357887878 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -368,7 +368,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 8ee6c5690e..4300198a26 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -241,7 +241,7 @@ def ql_par(self): '[baseprocess]', 'use_biasimage = False', '[calibrations]', - ' raise_chk_error = False', # This allows for science frames only and "cooked" Masters + ' raise_chk_error = False', # This allows for science frames only and "cooked" calibrations ' [[flatfield]]', ' saturated_slits = mask'] # Reduction parameters @@ -505,11 +505,11 @@ def empty_bpm(self, filename, det, shape=None): def bpm_frombias(self, msbias, bpm_img, thresh=10.): """ - Generate a bad-pixel mask from a master bias frame. + Generate a bad-pixel mask from a processed bias frame. Args: msbias (:class:`~pypeit.images.pypeitimage.PypeItImage`): - Master bias frame used to identify bad pixels. + Processed bias frame used to identify bad pixels. bpm_img (`numpy.ndarray`_): Zeroth-order bad pixel mask; i.e., generated using :func:`~pypeit.spectrographs.spectrograph.Spectrograph.empty_bpm`. @@ -524,7 +524,7 @@ def bpm_frombias(self, msbias, bpm_img, thresh=10.): """ # Check that the bias has the correct shape if msbias.image.shape != bpm_img.shape: - msgs.error(f'Shape mismatch between master bias {msbias.image.shape} and expected ' + msgs.error(f'Shape mismatch between processed bias {msbias.image.shape} and expected ' f'BPM {bpm_img.shape}.') # Setup nimg = 1 if bpm_img.ndim == 2 else bpm_img.shape[0] @@ -565,7 +565,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Processed image shape. If ``filename`` is None, this *must* be provided; otherwise, this is ignored. msbias (:class:`~pypeit.images.pypeitimage.PypeItImage`, optional): - Master bias frame. If provided, it is used by + Processed bias frame. If provided, it is used by :func:`~pypeit.spectrographs.spectrograph.Spectrograph.bpm_frombias` to identify bad pixels. diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index ff936bb267..1b14269735 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -425,7 +425,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -798,7 +798,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set @@ -979,7 +979,7 @@ def order_spat_pos(self): .. code-block:: python from pypeit import edgetrace - edges = edgetrace.EdgeTraceSet.from_file('MasterEdges_A_1_DET01.fits.gz') + edges = edgetrace.EdgeTraceSet.from_file('Edges_A_1_DET01.fits.gz') nrm_edges = edges.edge_fit[edges.nspec//2,:] / edges.nspat slit_cen = ((nrm_edges + np.roll(nrm_edges,1))/2)[np.arange(nrm_edges.size//2)*2+1] @@ -1059,7 +1059,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed bias frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index c87ac6d917..26ce326785 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -1,5 +1,5 @@ """ -Module to run tests on armasters +Module to run tests on calibration frames """ from pathlib import Path diff --git a/pypeit/tests/test_match.py b/pypeit/tests/test_match.py index d5d6fd22e2..9340b35620 100644 --- a/pypeit/tests/test_match.py +++ b/pypeit/tests/test_match.py @@ -61,18 +61,19 @@ def test_calibration_groups(fitstbl): # fitstbl.match_to_science(par['calibrations'], par['rdx']['calwin'], par['fluxcalib']) +# TODO: FIX THIS def test_instr_setup(fitstbl): """ Test instrument setup naming convention Tickles most of the arsetup methods """ par = fitstbl.spectrograph.default_pypeit_par() - # Check the master key - assert fitstbl.master_key(0) == 'A_1_DET01' + # Check the calibration key + assert fitstbl.calib_key(0) == 'A_1_DET01' # Invalid detector with pytest.raises(PypeItError): # Shane kast blue doesn't have a second detector - fitstbl.master_key(0, det=2) + fitstbl.calib_key(0, det=2) # TODO: Need a test that adds a calibration group and checks the result diff --git a/pypeit/tests/test_runpypeit.py b/pypeit/tests/test_runpypeit.py index 7cba5f4da1..5e32f08cc7 100644 --- a/pypeit/tests/test_runpypeit.py +++ b/pypeit/tests/test_runpypeit.py @@ -77,7 +77,7 @@ def test_run_pypeit(): assert isinstance(par, pypeitpar.PypeItPar) - # Now re-use those master files + # Now re-use those calibration files pargs = RunPypeIt.parse_args([pyp_file, '-o', '-r', configdir]) RunPypeIt.main(pargs) diff --git a/pypeit/tests/test_slittrace.py b/pypeit/tests/test_slittrace.py index 79cee2ca6f..bf105dd9ca 100644 --- a/pypeit/tests/test_slittrace.py +++ b/pypeit/tests/test_slittrace.py @@ -40,7 +40,7 @@ def test_io(): slits.to_file(overwrite=True) assert ofile.exists(), 'File not written' - # Instantiate an empty SlitTraceSet with the same master file, and + # Instantiate an empty SlitTraceSet with the same file, and # indicate it should be reused _slits = SlitTraceSet.from_file(ofile) assert np.array_equal(_slits.left_init, np.full((1000,3), 2, dtype=float)), 'Bad left read' diff --git a/pypeit/tests/test_spec2dobj.py b/pypeit/tests/test_spec2dobj.py index 080ffdc8a3..93b77bde63 100644 --- a/pypeit/tests/test_spec2dobj.py +++ b/pypeit/tests/test_spec2dobj.py @@ -138,7 +138,7 @@ def test_all2dobj_hdr(init_dict): header = fits.getheader(kast_file) spectrograph = load_spectrograph('shane_kast_blue') # Do it - hdr = allspec2D.build_primary_hdr(header, spectrograph, master_dir=tstutils.data_path('')) + hdr = allspec2D.build_primary_hdr(header, spectrograph, calib_dir=tstutils.data_path('')) # Test it assert hdr['SKYSUB'] == 'MODEL' diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index b27a6908c6..c9485511ed 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -97,7 +97,8 @@ def is_synced(self, slits): """ if not np.array_equal(self.spat_id, slits.spat_id): - msgs.error("Your tilt solutions are out of sync with your slits. Remove Masters and start from scratch") + msgs.error('Your tilt solutions are out of sync with your slits. Remove calibrations ' + 'and restart from scratch.') def fit2tiltimg(self, slitmask, flexure=None): """ @@ -152,7 +153,9 @@ class BuildWaveTilts: Class to guide arc/sky tracing Args: - mstilt (:class:`pypeit.images.buildimage.TiltImage`): Tilt image + mstilt (:class:`pypeit.images.buildimage.TiltImage`): + Tilt image. QA file naming inherits the calibration key + (``calib_key``) from this object. slits (:class:`pypeit.slittrace.SlitTraceSet`): Slit edges spectrograph (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): @@ -164,7 +167,6 @@ class BuildWaveTilts: det (int): Detector index qa_path (:obj:`str`, optional): Directory for QA output. - master_key (:obj:`str`, optional): For naming QA only spat_flexure (float, optional): If input, the slitmask and slit edges are shifted prior to tilt analysis. @@ -191,7 +193,7 @@ class BuildWaveTilts: # TODO This needs to be modified to take an inmask def __init__(self, mstilt, slits, spectrograph, par, wavepar, det=1, qa_path=None, - master_key=None, spat_flexure=None): + spat_flexure=None): # TODO: Perform type checking self.spectrograph = spectrograph @@ -355,7 +357,7 @@ def fit_tilts(self, trc_tilt_dict, thismask, slit_cen, spat_order, spec_order, s = tracewave.fit_tilts(trc_tilt_dict, thismask, slit_cen, spat_order=spat_order, spec_order=spec_order,maxdev=self.par['maxdev2d'], sigrej=self.par['sigrej2d'], func2d=self.par['func2d'], - doqa=doqa, master_key=self.master_key, + doqa=doqa, calib_key=self.mstilt.calib_key, slitord_id=self.slits.slitord_id[slit_idx], minmax_extrap=self.par['minmax_extrap'], show_QA=show_QA, out_dir=self.qa_path) @@ -572,7 +574,7 @@ def run(self, doqa=True, debug=False, show=False): ax = fig.add_axes([0.15/3, 0.1, 0.8/3, 0.8]) ax.imshow(self.mstilt.image, origin='lower', interpolation='nearest', aspect='auto', vmin=vmin, vmax=vmax) - ax.set_title('MasterArc') + ax.set_title('Arc') ax = fig.add_axes([1.15/3, 0.1, 0.8/3, 0.8]) ax.imshow(continuum, origin='lower', interpolation='nearest', aspect='auto', vmin=vmin, vmax=vmax) @@ -580,7 +582,7 @@ def run(self, doqa=True, debug=False, show=False): ax = fig.add_axes([2.15/3, 0.1, 0.8/3, 0.8]) ax.imshow(_mstilt, origin='lower', interpolation='nearest', aspect='auto', vmin=vmin, vmax=vmax) - ax.set_title('MasterArc - Continuum') + ax.set_title('Arc - Continuum') plt.show() # Final tilts image From 6477af92ebe54b3f55d8a5f206b9a876c38ea2ab Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 23 Mar 2023 17:07:05 -0700 Subject: [PATCH 094/308] so many more... --- .../{master_align.rst => align.rst} | 14 ++-- doc/calibrations/alignment.rst | 2 +- doc/calibrations/{master_arc.rst => arc.rst} | 16 ++-- .../{master_bias.rst => bias.rst} | 12 +-- doc/calibrations/calibrations.rst | 46 ++++++------ doc/calibrations/construct_template.rst | 10 +-- .../{master_dark.rst => dark.rst} | 12 +-- .../{master_edges.rst => edges.rst} | 26 +++---- .../{master_flat.rst => flat.rst} | 20 ++--- doc/calibrations/image_proc.rst | 8 +- doc/calibrations/slit_tracing.rst | 4 +- .../{master_slits.rst => slits.rst} | 20 ++--- .../{master_tilt.rst => tilt.rst} | 16 ++-- .../{master_tilts.rst => tilts.rst} | 12 +-- doc/calibrations/wave_calib.rst | 14 ++-- doc/calibrations/wavetilts.rst | 4 +- .../{master_wvcalib.rst => wvcalib.rst} | 16 ++-- doc/coadd1d.rst | 2 +- doc/coadd3d.rst | 2 +- doc/conventions.rst | 8 +- doc/cookbook.rst | 20 ++--- doc/dev/deimos_wavecalib.rst | 7 +- doc/dev/radec_object.rst | 4 +- doc/dev/slitmask_ids.rst | 5 +- doc/installing.rst | 28 +++---- doc/outputs.rst | 4 +- doc/qa.rst | 6 +- doc/quicklook.rst | 30 ++++---- doc/releases/1.12.0.rst | 2 +- doc/releases/1.6.0.rst | 2 +- doc/releases/1.8.0.rst | 2 +- doc/running.rst | 8 +- doc/scripts.rst | 75 +++---------------- doc/skysub.rst | 12 +-- doc/spectrographs/gemini_gmos.rst | 2 +- doc/spectrographs/keck_nires.rst | 2 +- doc/spectrographs/lris.rst | 2 +- doc/spectrographs/mosfire.rst | 2 +- doc/tutorials/deimos_howto.rst | 16 ++-- doc/tutorials/gnirs_howto.rst | 2 +- doc/tutorials/kast_howto.rst | 20 ++--- doc/tutorials/mosfire_howto.rst | 30 ++++---- doc/tutorials/nires_howto.rst | 16 ++-- ...all_ql_masters.py => install_ql_calibs.py} | 18 ++--- pypeit/scripts/ql.py | 4 +- 45 files changed, 267 insertions(+), 316 deletions(-) rename doc/calibrations/{master_align.rst => align.rst} (86%) rename doc/calibrations/{master_arc.rst => arc.rst} (84%) rename doc/calibrations/{master_bias.rst => bias.rst} (87%) rename doc/calibrations/{master_dark.rst => dark.rst} (87%) rename doc/calibrations/{master_edges.rst => edges.rst} (79%) rename doc/calibrations/{master_flat.rst => flat.rst} (86%) rename doc/calibrations/{master_slits.rst => slits.rst} (93%) rename doc/calibrations/{master_tilt.rst => tilt.rst} (81%) rename doc/calibrations/{master_tilts.rst => tilts.rst} (91%) rename doc/calibrations/{master_wvcalib.rst => wvcalib.rst} (90%) rename pypeit/scripts/{install_ql_masters.py => install_ql_calibs.py} (84%) diff --git a/doc/calibrations/master_align.rst b/doc/calibrations/align.rst similarity index 86% rename from doc/calibrations/master_align.rst rename to doc/calibrations/align.rst index f9f989fa5e..dd242a0da2 100644 --- a/doc/calibrations/master_align.rst +++ b/doc/calibrations/align.rst @@ -1,21 +1,21 @@ .. include:: ../include/links.rst -=============== -MasterAlignment -=============== +========= +Alignment +========= Overview ======== -This file describes the data model for the ``MasterAlignment`` image. +This file describes the data model for the ``Alignment`` image. It is generally a simple combination of all input alignment frames, which are used to trace constant spatial position on a slit. These frames are useful in slit-based IFUs (e.g. ``cbar`` frames for KCWI). The image is written to disk as a multi-extension FITS file -prefixed by ``MasterAlignment`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +prefixed by ``Alignment`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Inspecting @@ -28,7 +28,7 @@ You can view it with any standard image viewer, e.g.: .. code-block:: console - ginga Masters/MasterAlignment_A_1_DET01.fits + ginga Calibrations/Alignment_A_1_DET01.fits The image will also be a trimmed portion of the raw image and also re-oriented so that vertical is the spectral dimension with blue at the bottom, following diff --git a/doc/calibrations/alignment.rst b/doc/calibrations/alignment.rst index 6e5318429e..befa60c4c7 100644 --- a/doc/calibrations/alignment.rst +++ b/doc/calibrations/alignment.rst @@ -6,7 +6,7 @@ Spatial Alignment Alignment frames are observed to provide a spatial reference frame for the observations. Currently these are only used for Keck/KCWI reductions. -See :doc:`master_align`. +See :doc:`align`. .. TODO: Need input from Ryan diff --git a/doc/calibrations/master_arc.rst b/doc/calibrations/arc.rst similarity index 84% rename from doc/calibrations/master_arc.rst rename to doc/calibrations/arc.rst index 7fad919469..3b0bbc0f71 100644 --- a/doc/calibrations/master_arc.rst +++ b/doc/calibrations/arc.rst @@ -1,21 +1,21 @@ .. include:: ../include/links.rst -.. _masterarc: +.. _arc: -========= -MasterArc -========= +=== +Arc +=== Overview ======== -This file describes the data model for the ``MasterArc`` image. +This file describes the data model for the ``Arc`` image. It is generally a simple combination of all input arc frames. The image is written to disk as a multi-extension FITS file -prefixed by ``MasterArc`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +prefixed by ``Arc`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Inspecting @@ -26,7 +26,7 @@ You can view it with any standard image viewer, e.g.: .. code-block:: console - ginga Masters/MasterArc_A_1_01.fits + ginga Calibrations/Arc_A_1_01.fits Most often you use only one arc frame and this appears very similar to the raw image. If you do stack several, diff --git a/doc/calibrations/master_bias.rst b/doc/calibrations/bias.rst similarity index 87% rename from doc/calibrations/master_bias.rst rename to doc/calibrations/bias.rst index e1968538ac..53c3f6c230 100644 --- a/doc/calibrations/master_bias.rst +++ b/doc/calibrations/bias.rst @@ -1,16 +1,16 @@ .. include:: ../include/links.rst -========== -MasterBias -========== +==== +Bias +==== Overview ======== -This file describes the data model for the ``MasterBias`` image. +This file describes the data model for the ``Bias`` image. This is written to disk as a multi-extension FITS file prefixed by -``MasterBias`` in the ``Masters/`` folder. +``Bias`` in the ``Calibrations/`` folder. This is generally a simple combination of all input bias frames. @@ -22,7 +22,7 @@ any standard image viewer, e.g.: .. code-block:: console - ginga Masters/MasterBias_A_1_01.fits + ginga Calibrations/Bias_A_1_01.fits It should resemble any one of your input bias frames aside from: diff --git a/doc/calibrations/calibrations.rst b/doc/calibrations/calibrations.rst index cef76fcbb1..0f990616da 100644 --- a/doc/calibrations/calibrations.rst +++ b/doc/calibrations/calibrations.rst @@ -118,7 +118,7 @@ Products ======== As the calibrations are completed, PypeIt will save the results to files in the -``Masters/`` folder (see :ref:`outputs-dir`). Unless otherwise indicated, all +``Calibrations/`` folder (see :ref:`outputs-dir`). Unless otherwise indicated, all output files are in FITS format. Saving the results of each calibration step to a file allows: @@ -129,7 +129,7 @@ Saving the results of each calibration step to a file allows: cases where the code crashed, things were fixed, and then one re-runs the script. -Below is the full list of possible master frame produced by PypeIt. For any +Below is the full list of possible calibration frames produced by PypeIt. For any given run, the files actually produced will depend on the :doc:`spectrograph <../spectrographs/spectrographs>` and the files listed in the :ref:`pypeit_file`. @@ -137,24 +137,25 @@ given run, the files actually produced will depend on the :doc:`spectrograph .. toctree:: :maxdepth: 1 - Alignment Image (MasterAlignment; IFU only) - Processed arc spectral image (MasterArc) - Processed bias image (MasterBias) - Processed dark image (MasterDark) - Images used to trace slit edges (MasterEdges) - Consolidated slit traces (MasterSlits) - Normalized flat field images (MasterFlat) - Image used to trace wavelengths within each slit (MasterTiltimg) - Mapping of pixels to constant wavelength (MasterTilts) - Solution of 1D wavelength calibration (MasterWaveCalib) + Alignment Image (Alignment; IFU only) + Processed arc spectral image (Arc) + Processed bias image (Bias) + Processed dark image (Dark) + Images used to trace slit edges (Edges) + Consolidated slit traces (Slits) + Normalized flat field images (Flat) + Image used to trace wavelengths within each slit (Tiltimg) + Mapping of pixels to constant wavelength (Tilts) + Solution of 1D wavelength calibration (WaveCalib) -.. _master-naming: +.. _calib-naming: -Master Frame Naming -------------------- +Calibration Frame Naming +------------------------ -All reduced calibration frames are given the file name prefix ``Master`` (e.g., -``MasterArc``). They are also assigned a unique identifier that is a combination of: +All reduced calibration frames are named according to their primary calibration +type (e.g., ``Arc``). They are also assigned a unique identifier that is a +combination of: - the instrument configuration (setup) identifier (e.g., ``A``), @@ -163,15 +164,16 @@ All reduced calibration frames are given the file name prefix ``Master`` (e.g., - the detector or mosaic identifier (e.g., ``DET01`` or ``MSC01``). Importantly, note that the calibration group **bit** identifier is used and not -a specific calibration group ID number. This is because master frames can +a specific calibration group ID number. This is because calibration frames can belong to multiple calibration groups. For example, if there are 3 calibration groups (groups 1, 2, and 3) and a set of bias frames are used for all three -groups, the resulting master bias frame will be called -``MasterBias_A_7_DET01.fits`` for detector 1 in setup A. The ``7`` comes from +groups, the resulting processed bias frame will be called +``Bias_A_7_DET01.fits`` for detector 1 in setup A. The ``7`` comes from the bitwise calculation :math:`2^{1-1} + 2^{2-1} + 2^{3-1} = 7`. Although convenient from a development perspective, this abstraction of the -master file names can make it difficult to associate each master frame with its -source input frames. To help with this, see the :ref:`calibrations-calibfile`. +calibration file names can make it difficult to associate each calibration frame +with its source input frames. To help with this, see the +:ref:`calibrations-calibfile`. diff --git a/doc/calibrations/construct_template.rst b/doc/calibrations/construct_template.rst index 5d28229698..71b7ff52b2 100644 --- a/doc/calibrations/construct_template.rst +++ b/doc/calibrations/construct_template.rst @@ -15,7 +15,7 @@ This doc describes how to create a wavelength template used to perform wavelength calibration with the :ref:`wvcalib-algorithms`. See :doc:`wave_calib` for a discussion of various algorithms and -see :doc:`master_wvcalib` for a discussion of the +see :doc:`wvcalib` for a discussion of the main outputs and good/bad examples. Finding Data @@ -30,8 +30,8 @@ Using the Holy Grail Algorithm Once you have a set of different arc lamp exposures that cover the desired range, run through the data using the option of the :ref:`wvcalib-holygrail` algorithm to generate a -master wavelength calibration and select the slits where the technique is -successful. See :doc:`master_wvcalib` for an example QA plot that illustrates +wavelength calibration and select the slits where the technique is +successful. See :doc:`wvcalib` for an example QA plot that illustrates a good wavelength solution. With a complete set of correctly calibrated arc line data, identify wavelength @@ -47,9 +47,9 @@ algorithm. Creating the Template ===================== -Once all of the slits and master wavelength calibration files are selected, use +Once all of the slits and wavelength calibration files are selected, use :func:`~pypeit.core.wavecal.templates.build_template` to turn the -list of slits, wavelength ranges, and :doc:`master_wvcalib` files into a final +list of slits, wavelength ranges, and :doc:`wvcalib` files into a final template. For longevity, it is a good idea to install the `PypeIt Development Suite`_ (see diff --git a/doc/calibrations/master_dark.rst b/doc/calibrations/dark.rst similarity index 87% rename from doc/calibrations/master_dark.rst rename to doc/calibrations/dark.rst index 956fb5df92..e627c5da68 100644 --- a/doc/calibrations/master_dark.rst +++ b/doc/calibrations/dark.rst @@ -1,16 +1,16 @@ .. include:: ../include/links.rst -========== -MasterDark -========== +==== +Dark +==== Overview ======== -This file describes the data model for the ``MasterDark`` image. +This file describes the data model for the ``Dark`` image. This is written to disk as a multi-extension FITS file prefixed by -``MasterDark`` in the ``Masters/`` folder. +``Dark`` in the ``Calibrations/`` folder. This is generally a simple combination of all input dark frames. @@ -22,7 +22,7 @@ any standard image viewer, e.g.: .. code-block:: console - ginga Masters/MasterDark_A_1_01.fits + ginga Calibrations/Dark_A_1_01.fits It should resemble any one of your input dark frames aside from: diff --git a/doc/calibrations/master_edges.rst b/doc/calibrations/edges.rst similarity index 79% rename from doc/calibrations/master_edges.rst rename to doc/calibrations/edges.rst index 56b69afac3..5afd9de11b 100644 --- a/doc/calibrations/master_edges.rst +++ b/doc/calibrations/edges.rst @@ -1,23 +1,23 @@ .. include:: ../include/links.rst -.. _master-edges: +.. _edges: -=========== -MasterEdges -=========== +===== +Edges +===== Overview ======== -This file describes the ``MasterEdges`` object. +This file describes the ``Edges`` object. It contains the core information required to describe the edges of each slit on a given detector (or orders for echelle). See below for the `Current EdgeTrace Data Model`_. This is written to disk as a multi-extension FITS file prefixed by -``MasterEdges`` in the ``Masters/`` folder. -See the :ref:`master-naming` docs for more. +``Edges`` in the ``Calibrations/`` folder. +See the :ref:`calib-naming` docs for more. We also describe how to view the slit edges using `pypeit_chk_edges`_. @@ -48,14 +48,14 @@ This is the default mode when executing, e.g.: .. code-block:: console - pypeit_chk_edges Masters/MasterEdges_A_1_DET01.fits.gz + pypeit_chk_edges Calibrations/Edges_A_1_DET01.fits.gz .. warning:: These files can take an annoyingly long time to load because they tend to be large and require decompression. -Two images are shown, the master trace image (typically a combination of dome +Two images are shown, the trace image (typically a combination of dome flats) and the Sobel filtered image used to detect the slit edges. Here is a zoom-in screen shot for the :ref:`keck-lris-red` spectrograph. @@ -80,7 +80,7 @@ To avoid ginga, use the `--mpl` flag: .. code-block:: console - pypeit_chk_edges Masters/MasterEdges_A_1_DET01.fits.gz --mpl + pypeit_chk_edges Calibrations/Edges_A_1_DET01.fits.gz --mpl The color scheme is distinct and the labeling now includes -1 or +1 for left/right edges. @@ -88,12 +88,12 @@ now includes -1 or +1 for left/right edges. SlitTrace ========= -The ``MasterEdges`` file allows one to fully reconstruct its underlying object +The ``Edges`` file allows one to fully reconstruct its underlying object (:class:`~pypeit.edgetrace.EdgeTraceSet`) when instantiated from the output file. Unfortunately, this means the PypeIt object and output file are a bit too unwieldy to pass through the remainder of the code just to access its primary product, the slit-edge pixel coordinates. For that reason, we also create a -:ref:`master_slits` object; follow the link for more description of that object. +:ref:`slits` object; follow the link for more description of that object. .. _edges-trouble: @@ -106,7 +106,7 @@ finesse your slit tracing results. Current EdgeTrace Data Model ============================ -Internally, the master image is held in :class:`~pypeit.edgetrace.EdgeTraceSet`, +Internally, the processed image is held in :class:`~pypeit.edgetrace.EdgeTraceSet`, which subclasses from :class:`~pypeit.datamodel.DataContainer`. The datamodel written to disk is: diff --git a/doc/calibrations/master_flat.rst b/doc/calibrations/flat.rst similarity index 86% rename from doc/calibrations/master_flat.rst rename to doc/calibrations/flat.rst index da4bfa1824..d224400051 100644 --- a/doc/calibrations/master_flat.rst +++ b/doc/calibrations/flat.rst @@ -1,29 +1,29 @@ .. include:: ../include/links.rst -.. _master_flat: +.. _flat: -========== -MasterFlat -========== +==== +Flat +==== Overview ======== -This file describes the data model for the ``MasterFlat``. +This file describes the data model for the ``Flat``. It is a series of images starting from the combination of all input *pixelflat* frames. The images are written to disk as a multi-extension FITS file -prefixed by ``MasterFlat`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +prefixed by ``Flat`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Inspecting ========== PypeIt provides the ``pypeit_chk_flats`` script to inspect -the key ``MasterFlat`` outputs. +the key ``Flat`` outputs. The script usage can be displayed by calling the script with the ``-h`` option: @@ -35,7 +35,7 @@ The script usage can be displayed by calling the script with the pypeit_chk_flats ---------------- -This script takes a ``MasterFlat`` as input and displays +This script takes a ``Flat`` as input and displays a series of images in a `ginga`_ viewer, each in a separate tab. @@ -43,7 +43,7 @@ Here is a typical call: .. code-block:: console - pypeit_chk_flats Masters/MasterFlat_A_1_DET01.fits + pypeit_chk_flats Calibrations/Flat_A_1_DET01.fits Below we describe the standard products. There is enough variation from spectrograph to diff --git a/doc/calibrations/image_proc.rst b/doc/calibrations/image_proc.rst index 46c04f89fe..0147b63bc6 100644 --- a/doc/calibrations/image_proc.rst +++ b/doc/calibrations/image_proc.rst @@ -247,7 +247,7 @@ given instrument. Importantly, PypeIt also subtracts this tabulated dark-current value from any provided dark frames. This means that dark frames, combined into the -``MasterDark``, are used to correct for the 2D, pixel-to-pixel deviation in the +``Dark``, are used to correct for the 2D, pixel-to-pixel deviation in the measured dark current *with respect to the tabulated value.* These deviations are expected to be small compared to the tabulated dark current value, and a warning is thrown if the median difference between the measured and tabulated dark @@ -264,7 +264,7 @@ dark frame, make sure that you bias-subtract your dark frames! Nominally, the exposure time for dark images should be identical to the frames they are applied to. If they are not, PypeIt provides a parameter that will allow you to scale the dark frame counts by the ratio of the - exposure times to appropriately subtract the counts/s measured by the master + exposure times to appropriately subtract the counts/s measured by the processed dark frame from the science frame (see the ``dark_expscale`` parameter). Take care when using this option! Also, beware how the dark images are processed. Specifically, scaling by the ratio of the exposure times assumes @@ -412,8 +412,8 @@ the :doc:`../conventions`. The basic image processing workflow is largely independent for each frame type. In particular, there's no intelligent automated checking in place for - how master frames are processed and whether it is correct to apply those - masters to other frames. For example, if you overscan subtract your bias + how calibration frames are processed and whether it is correct to apply those + calibrations to other frames. For example, if you overscan subtract your bias frames, you should also overscan subtract all other frames before performing bias subtraction, and vice versa. When altering the processing workflow, it is up to the user to make sure that the processing of images is appropriate diff --git a/doc/calibrations/slit_tracing.rst b/doc/calibrations/slit_tracing.rst index e52982e438..6a75971ad8 100644 --- a/doc/calibrations/slit_tracing.rst +++ b/doc/calibrations/slit_tracing.rst @@ -28,10 +28,10 @@ algorithm. Viewing ======= -See :doc:`master_edges` and :doc:`master_slits` for notes on how to view the +See :doc:`edges` and :doc:`slits` for notes on how to view the outputs related to `Slit Tracing`_. -One can also run the :ref:`pypeit_parse_slits` script on the MasterSlit output +One can also run the :ref:`pypeit_parse_slits` script on the ``Slit`` output to get a terse description of the output. .. _pypeit_trace_edges: diff --git a/doc/calibrations/master_slits.rst b/doc/calibrations/slits.rst similarity index 93% rename from doc/calibrations/master_slits.rst rename to doc/calibrations/slits.rst index a86f817f02..2ea786986c 100644 --- a/doc/calibrations/master_slits.rst +++ b/doc/calibrations/slits.rst @@ -1,35 +1,35 @@ .. include:: ../include/links.rst -.. _master_slits: +.. _slits: -=========== -MasterSlits -=========== +===== +Slits +===== Overview ======== -This file describes the ``MasterSlits`` object. +This file describes the ``Slits`` object. It contains the main information on the traced slit edges, organized into left-right slit pairs. This is written to disk as a multi-extension FITS file prefixed by -``MasterSlits`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +``Slits`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Viewing ======= -The preferred way to view the slit edges information contained in ``MasterSlits`` is as follows: +The preferred way to view the slit edges information contained in ``Slits`` is as follows: .. code-block:: python from astropy.io import fits from astropy.table import Table - hdu = fits.open('MasterSlits_A_1_DET01.fits') + hdu = fits.open('Slits_A_1_DET01.fits') Table(hdu['SLITS'].data) This will show a table that looks like this: @@ -70,7 +70,7 @@ See :ref:`slittrace-datamodel` for a description of the columns. Current SlitTrace Data Model ============================ -Internally, the ``MasterSlits`` object is held in :class:`~pypeit.slittrace.SlitTraceSet`, +Internally, the ``Slits`` object is held in :class:`~pypeit.slittrace.SlitTraceSet`, which subclasses from :class:`~pypeit.datamodel.DataContainer`. Here is its datamodel, which is written as an `astropy.io.fits.BinTableHDU`_. diff --git a/doc/calibrations/master_tilt.rst b/doc/calibrations/tilt.rst similarity index 81% rename from doc/calibrations/master_tilt.rst rename to doc/calibrations/tilt.rst index fe271fc1ea..25abd7cdab 100644 --- a/doc/calibrations/master_tilt.rst +++ b/doc/calibrations/tilt.rst @@ -1,22 +1,22 @@ .. include:: ../include/links.rst -============= -MasterTiltimg -============= +======= +Tiltimg +======= Overview ======== -This file describes the data model for the ``MasterTiltimg`` image. +This file describes the data model for the ``Tiltimg`` image. For optical spectrographs, it is typically the combination of all input arc frames. For near-IR spectrographs, it is likely one or more science frames. The image is written to disk as a multi-extension FITS file -prefixed by ``MasterTiltimg`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +prefixed by ``Tiltimg`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Inspecting @@ -27,7 +27,7 @@ You can view it with any standard image viewer, e.g.: .. code-block:: console - ginga Masters/MasterTilt_A_1_01.fits + ginga Calibrations/Tilt_A_1_01.fits Most often you use only one tilt frame and this appears very similar to the raw image. If you do stack several, @@ -42,7 +42,7 @@ for an example from the ``shane_kast_red`` spectrograph. .. image:: ../figures/arc_image.png -Actually, I cheated. This is an :doc:`master_arc` image. +Actually, I cheated. This is an :doc:`arc` image. But, they are identical for this instrument. Troubleshooting diff --git a/doc/calibrations/master_tilts.rst b/doc/calibrations/tilts.rst similarity index 91% rename from doc/calibrations/master_tilts.rst rename to doc/calibrations/tilts.rst index 42529149e2..ef8e4e21ce 100644 --- a/doc/calibrations/master_tilts.rst +++ b/doc/calibrations/tilts.rst @@ -1,19 +1,19 @@ .. include:: ../include/links.rst -=========== -MasterTilts -=========== +===== +Tilts +===== Overview ======== -This file describes the data model for the ``MasterTilts``. +This file describes the data model for the ``Tilts``. The images are written to disk as a multi-extension FITS file -prefixed by ``MasterTilts`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +prefixed by ``Tilts`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Inspecting diff --git a/doc/calibrations/wave_calib.rst b/doc/calibrations/wave_calib.rst index eeed14c897..9f84089cfd 100644 --- a/doc/calibrations/wave_calib.rst +++ b/doc/calibrations/wave_calib.rst @@ -20,7 +20,7 @@ This doc describes the wavelength calibration :ref:`wvcalib-algorithms`, the :ref:`wvcalib-byhand` including the :ref:`pypeit_identify` script, :ref:`wvcalib-failures`, and more. -See :doc:`master_wvcalib` for a discussion of the +See :doc:`wvcalib` for a discussion of the main outputs and good/bad examples. If you wish to use your own line lists (*i.e.*, you have reliable @@ -186,8 +186,10 @@ with PypeIt. The basic steps are: 2. Load the parameters guiding wavelength calibration 3. Generate the 1D wavelength fits -The code is guided by the :class:`~pypeit.wavecalib.WaveCalib` class, partially described -by `this notebook `__. +The code is guided by the :class:`~pypeit.wavecalib.WaveCalib` class, partially +described by `this notebook +`__ +(BEWARE, this may be out of date). For the primary step (#3), we have developed several algorithms, finding it challenging to have one that satisfies @@ -267,8 +269,8 @@ Identify If you would prefer to manually wavelength calibrate, then you can do so with the ``pypeit_identify`` GUI. To use this script, you must have successfully -traced the slit edges (*i.e.*, a :doc:`master_edges` file must exist) and -generated a :doc:`master_arc` calibration frame. +traced the slit edges (*i.e.*, a :doc:`edges` file must exist) and +generated a :doc:`arc` calibration frame. .. _pypeit_identify: @@ -287,7 +289,7 @@ To launch the GUI, use the following command: .. code-block:: bash - $ pypeit_identify MasterArc_A_1_01.fits MasterSlits_A_1_01.fits.gz + $ pypeit_identify Arc_A_1_01.fits Slits_A_1_01.fits.gz basics ------ diff --git a/doc/calibrations/wavetilts.rst b/doc/calibrations/wavetilts.rst index e639923c1d..c8765ea722 100644 --- a/doc/calibrations/wavetilts.rst +++ b/doc/calibrations/wavetilts.rst @@ -33,8 +33,8 @@ Here is the code flow: .. https://github.com/treebeardtech/nbmake See the `WaveTilts Notebook -`__ for -some examples. +`__ for +some examples (BEWARE, this may be out of date). QA == diff --git a/doc/calibrations/master_wvcalib.rst b/doc/calibrations/wvcalib.rst similarity index 90% rename from doc/calibrations/master_wvcalib.rst rename to doc/calibrations/wvcalib.rst index 8d4850938d..1f7367c706 100644 --- a/doc/calibrations/master_wvcalib.rst +++ b/doc/calibrations/wvcalib.rst @@ -1,20 +1,20 @@ .. include:: ../include/links.rst -.. _master_wvcalib: +.. _wvcalib: -=============== -MasterWaveCalib -=============== +========= +WaveCalib +========= Overview ======== -This file describes the data model for the ``MasterWaveCalib``. +This file describes the data model for the ``WaveCalib``. The images are written to disk as a multi-extension FITS file -prefixed by ``MasterWaveCalib`` in the ``Masters/`` folder. -See :ref:`master-naming` for the naming convention. +prefixed by ``WaveCalib`` in the ``Calibrations/`` folder. +See :ref:`calib-naming` for the naming convention. Inspecting ========== @@ -29,7 +29,7 @@ with the **pypeit_chk_wavecalib** script, e.g. : .. code-block:: console - $ pypeit_chk_wavecalib Masters/MasterWaveCalib_A_1_MSC03.fits + $ pypeit_chk_wavecalib Calibrations/WaveCalib_A_1_MSC03.fits N. SpatID minWave Wave_cen maxWave dWave Nlin IDs_Wave_range IDs_Wave_cov(%) mesured_fwhm RMS --- ------ ------- -------- ------- ----- ---- --------------------- --------------- ------------ ----- diff --git a/doc/coadd1d.rst b/doc/coadd1d.rst index fcd3747564..76d27d7781 100644 --- a/doc/coadd1d.rst +++ b/doc/coadd1d.rst @@ -202,7 +202,7 @@ Filters +++++++ The list of available filters is provided in -`this file `__. +`this file `__. Scaling diff --git a/doc/coadd3d.rst b/doc/coadd3d.rst index 05cfbd5a54..bff69aa3f1 100644 --- a/doc/coadd3d.rst +++ b/doc/coadd3d.rst @@ -172,7 +172,7 @@ Astrometric correction If you would like to perform an astrometric correction, you need to install `scikit-image`_ (version > 0.17; see :ref:`installing-pip` or simply install `scikit-image`_ with pip directly). The default -option is to perform the astrometric correction, if a :doc:`calibrations/master_align` +option is to perform the astrometric correction, if a :doc:`calibrations/align` frame has been computed. To disable the astrometric correction, set the following keyword argument in your ``coadd3d`` file: diff --git a/doc/conventions.rst b/doc/conventions.rst index 785b9e3594..839ca6ec6b 100644 --- a/doc/conventions.rst +++ b/doc/conventions.rst @@ -59,13 +59,13 @@ Datamodels Calibration Frames ================== -All reduced calibration frames are held in the ``Masters`` directory and given -the file name prefix ``Master`` (e.g., ``MasterArc``). See :ref:`outputs-dir` +All reduced calibration frames are held in the ``Calibrations/`` directory and given +the named after their calibration type (e.g., ``Arc``). See :ref:`outputs-dir` and :ref:`calibrations`. -The master frames are also assigned a unique identifier that is a combination of +The calibration frames are also assigned a unique identifier that is a combination of their setup, calibration group, and detector (e.g., ``A_1_DET01``). For details -on the construction of this identifier, see :ref:`master-naming`. +on the construction of this identifier, see :ref:`calib-naming`. .. _science_frame_naming: diff --git a/doc/cookbook.rst b/doc/cookbook.rst index db67e44695..ce8a1be670 100644 --- a/doc/cookbook.rst +++ b/doc/cookbook.rst @@ -185,8 +185,8 @@ Although :ref:`run-pypeit` provides a few command-line options, the :ref:`parameters` used by its algorithms. In the above example, a successful execution of :ref:`run-pypeit` will yield a -set of calibration "master" frames held in the -``${RDXDIR}/keck_deimos_A/Masters`` directory, extracted 1D and 2D spectra in +set of calibration frames held in the +``${RDXDIR}/keck_deimos_A/Calibrations`` directory, extracted 1D and 2D spectra in the ``${RDXDIR}/keck_deimos_A/Science`` directory, and a set of quality assessment plots in the ``${RDXDIR}/keck_deimos_A/QA`` directory. @@ -198,7 +198,7 @@ assessment plots in the ``${RDXDIR}/keck_deimos_A/QA`` directory. *For more detail, see* :doc:`calibrations/calibrations`. As the code runs, when a new calibration is generated the default is to write it -to disk as a "Master Frame" file. Quality assessment plots for some of these +to disk as a "calibration frame" file. Quality assessment plots for some of these are written to the :doc:`qa` folder for inspection. We encourage you to inspect these calibration outputs as they come, both the files themselves and the QA plots. @@ -207,13 +207,13 @@ Here is the order they tend to be created with a separate doc for how to view each, what they should look like, and how to troubleshoot: - - View the :doc:`calibrations/master_bias` image (if you produced one) - - View the :doc:`calibrations/master_arc` image - - Check slit edges with the :doc:`calibrations/master_edges` file - - View the :doc:`calibrations/master_tilt` image - - Check the 1D wavelength solution in the :doc:`calibrations/master_wvcalib` output - - Check the 2D wavelength solution in the :doc:`calibrations/master_tilts` output - - Check the :doc:`calibrations/master_flat` images + - View the :doc:`calibrations/bias` image (if you produced one) + - View the :doc:`calibrations/arc` image + - Check slit edges with the :doc:`calibrations/edges` file + - View the :doc:`calibrations/tilt` image + - Check the 1D wavelength solution in the :doc:`calibrations/wvcalib` output + - Check the 2D wavelength solution in the :doc:`calibrations/tilts` output + - Check the :doc:`calibrations/flat` images Note that only a subset of these files may be made, depending on your spectrograph and the calibration files available. diff --git a/doc/dev/deimos_wavecalib.rst b/doc/dev/deimos_wavecalib.rst index c4bc120b80..25b8746029 100644 --- a/doc/dev/deimos_wavecalib.rst +++ b/doc/dev/deimos_wavecalib.rst @@ -12,6 +12,7 @@ Version History *Version* *Author* *Date* ``PypeIt`` ========= ================ =========== =========== 1.0 Debora Pelliccia 23 Feb 2021 1.3.2dev +1.1 Kyle Westfall 23 Mar 2023 1.12.2dev ========= ================ =========== =========== ---- @@ -84,13 +85,13 @@ Access Users can access the DEIMOS wavelength calibration information in a couple of ways: - Inspecting the Quality Assurance (QA) plot generated by ``PypeIt`` and saved in PNG files. -- Running ``pypeit_chk_wavecalib Masters/MasterWaveCalib_X_X_XX.fits``, which prints wavelength solution +- Running ``pypeit_chk_wavecalib Calibrations/WaveCalib_X_X_XX.fits``, which prints wavelength solution information for each slit. -See :ref:`master_wvcalib` for more information. +See :ref:`wvcalib` for more information. If the user prefers to manually wavelength calibrate, it can be done by running -``pypeit_identify MasterArc_X_X_XX.fits MasterSlits_X_X_XX.fits.gz``. See :ref:`wvcalib-byhand` +``pypeit_identify Arc_X_X_XX.fits Slits_X_X_XX.fits.gz``. See :ref:`wvcalib-byhand` for more details. Testing diff --git a/doc/dev/radec_object.rst b/doc/dev/radec_object.rst index 02e7128725..354a3bd246 100644 --- a/doc/dev/radec_object.rst +++ b/doc/dev/radec_object.rst @@ -37,7 +37,7 @@ First, ``Pypeit``, using :func:`pypeit.slittrace.get_maskdef_objpos_offset_allde computes for every detectors that the user wants to reduce the offset of the observed slitmask from the position expected by the design file (see :ref:`slitmask_ids_report` for a description on how the slitmask design matching is performed), and stores it in -the :class:`~pypeit.slittrace.SlitTraceSet` datamodel (see :ref:`master_slits` for a +the :class:`~pypeit.slittrace.SlitTraceSet` datamodel (see :ref:`slits` for a description of the provided information and for a way to visualize them). There are four different options that the user can choose to compute the offset: using objects with high significance detections, using only one bright object in a selected slit, using alignment stars, @@ -180,7 +180,7 @@ and is as follows: 8. Read ``RA``, ``DEC`` and ``MASKDEF_OBJNAME`` for a selected slit and check if those correspond to the expected values. The expected values are taken from the :class:`~pypeit.slittrace.SlitTraceSet` - datamodel. See :ref:`master_slits` for a description of the provided information and for a way + datamodel. See :ref:`slits` for a description of the provided information and for a way to visualize them. diff --git a/doc/dev/slitmask_ids.rst b/doc/dev/slitmask_ids.rst index 593b7945c3..e64e4bf763 100644 --- a/doc/dev/slitmask_ids.rst +++ b/doc/dev/slitmask_ids.rst @@ -16,6 +16,7 @@ Version History 1.2 Debora Pelliccia 26 Jan 2021 1.3.1dev 1.3 Debora Pelliccia 21 Oct 2021 1.6.1dev 1.4 J. Xavier Prochaska 11 Jan 2022 1.7.1dev +1.5 Kyle Westfall 23 Mar 2023 1.12.2dev ========= =================== =========== =========== ---- @@ -103,9 +104,9 @@ Access ------ The ``maskdef_id`` is recorded for each slits in the :class:`~pypeit.slittrace.SlitTraceSet` datamodel, -which is written to disk as a multi-extension FITS file prefixed by MasterSlits. +which is written to disk as a multi-extension FITS file prefixed by Slits. In addition, for DEIMOS and MOSFIRE a second `astropy.io.fits.BinTableHDU`_ is written to disk and contains -more slitmask design information. See :ref:`master_slits` for a description of the provided information +more slitmask design information. See :ref:`slits` for a description of the provided information and for a way to visualize them. Moreover, the ``maskdef_id`` assigned to each slit can be found, after a full reduction with ``PypeIt`` diff --git a/doc/installing.rst b/doc/installing.rst index cb4853d11b..8c77c099c3 100644 --- a/doc/installing.rst +++ b/doc/installing.rst @@ -289,40 +289,40 @@ includes a :doc:`pypeit_file` for each instrument and setup used during development testing. -Quick-Look Master Files ------------------------ +Quick-Look Calibration Files +---------------------------- .. note:: We continue to work on cleaner installation solutions for these data - products, particularly for the quick-look master files. In the meantime, - note that you will likely need to re-run the data-specific installation - scripts described below every time you upgrade your installation (via - `pip`_ or `conda`_). + products, particularly for the quick-look calibration files. In the + meantime, note that you will likely need to re-run the data-specific + installation scripts described below every time you upgrade your + installation (via `pip`_ or `conda`_). -Some of the quick-look reductions provided by PypeIt require canned master +Some of the quick-look reductions provided by PypeIt require canned calibration files to speed up the data-reduction process, as appropriate for a quick-look -result. These files are hosted in the ``QL_MASTERS`` directory in the `PypeIt +result. These files are hosted in the ``QL_CALIB`` directory in the `PypeIt dev-suite Google Drive`_. -To install the quick-look master files: +To install the quick-look calibration files: - #. Right-click on the ``QL_MASTERS`` folder in the `PypeIt dev-suite + #. Right-click on the ``QL_CALIB`` folder in the `PypeIt dev-suite Google Drive`_ and select the "Download" option from the drop-down menu. This will download a zip file containing the full directory contents. Its current size (as of 22 July 2021) is about 35 MB. - #. Run the ``pypeit_install_ql_masters`` script. E.g.: + #. Run the ``pypeit_install_ql_calibs`` script. E.g.: .. code-block:: console - $ pypeit_install_ql_masters --zip ~/Downloads/QL_MASTERS-20210722T162355Z-001.zip --odir my_path + $ pypeit_install_ql_calibs --zip ~/Downloads/QL_CALIB-20210722T162355Z-001.zip --odir my_path -The ``pypeit_install_ql_masters`` script will unzip the downloaded file in the +The ``pypeit_install_ql_calibs`` script will unzip the downloaded file in the ``my_path`` directory and create a symlink to the extracted directory in the ``pypeit/data/`` directory of your PypeIt installation. The script can automatically delete the zip file using the ``--rmzip`` option. If you already -have the ``QL_MASTERS`` directory, you can also use the script to simply create +have the ``QL_CALIB`` directory, you can also use the script to simply create the symlink using the ``--ql_path`` option. .. warning:: diff --git a/doc/outputs.rst b/doc/outputs.rst index 0a3c70a200..5e0171820d 100644 --- a/doc/outputs.rst +++ b/doc/outputs.rst @@ -23,8 +23,8 @@ Assuming it was executed from within the directory created by :ref:`pypeit_setup` (e.g., ``${RDXDIR}/keck_deimos_A``), by default :ref:`run-pypeit` will produce the following directories: - - ``${RDXDIR}/${PYP_SPEC}_${SETUP}/Masters``: Directory with all the - "master" calibration frames. + - ``${RDXDIR}/${PYP_SPEC}_${SETUP}/Calibrations``: Directory with all the + calibration frames. - ``${RDXDIR}/${PYP_SPEC}_${SETUP}/Science``: Directory with all the reduced science and standard frames diff --git a/doc/qa.rst b/doc/qa.rst index f1227647a8..ff7244fe94 100644 --- a/doc/qa.rst +++ b/doc/qa.rst @@ -20,7 +20,7 @@ HTML When the code completes (or crashes out), a set of HTML files are generated in the ``QA/`` folder. There -is one HTML file per MasterFrame set and one +is one HTML file per calibration frame set and one HTML file per science exposure. Example names are ``MF_A.html``. @@ -58,7 +58,7 @@ calibration. pixel number and wavelength, and the bottom-right plot shows the residuals as a function of pixel number. -See :doc:`calibrations/master_wvcalib` for more discussion of this QA. +See :doc:`calibrations/wvcalib` for more discussion of this QA. .. _qa-wave-tilt: @@ -75,7 +75,7 @@ in the wavelength as a function of spatial position within the slits. horizontal line of black dots is an OH line. Red points were rejected in the 2D fitting. Provided most were not rejected, the fit should be good. -See :doc:`calibrations/master_tilts` for more discussion of this QA. +See :doc:`calibrations/tilts` for more discussion of this QA. Exposure QA diff --git a/doc/quicklook.rst b/doc/quicklook.rst index 87213b5b44..e30877fcbf 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -41,7 +41,7 @@ One or more folders are generated in a run with ``pypeit_ql``. The primary folder containts the science outputs in ``Science/`` and QA products related to extraction -and a soft-link to the ``Masters/`` folder. +and a soft-link to the ``Calibrations/`` folder. It is named after the input science file(s). If there is only one file processed, the folder is given the name of the file with the ``.fits`` extension removed (e.g. ``b27.fits`` becomes @@ -74,10 +74,10 @@ include: .. code-block:: ini [baseprocess] - master_setup_and_bit = SETUP_BIT + calib_setup_and_bit = SETUP_BIT -where ``SETUP`` and ``BIT`` are taken from the masters -files found in the ``Masters/`` folder. +where ``SETUP`` and ``BIT`` are taken from the calibration +files found in the ``Calibrations/`` folder. For example, ``SETUP_BIT`` may be ``A_7``. This should ensure that the science data are processed using the @@ -107,7 +107,7 @@ is not important. pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz This call first generates a ``shane_kast_blue_A`` folder with the -processed calibrations (Masters) and associated QA :doc:`outputs`. +processed calibrations and associated QA :doc:`outputs`. It then generates a separate folder named ``b27`` which holds the ``Science`` folder with the processed 2D spectral image and the extracted spectra. @@ -139,18 +139,18 @@ You can, however, force a re-generation of the calibrations with ``--clobber_calibs``. -Masters Folder --------------- +Calibrations Folder +------------------- -One can specifiy the path to a set of Masters files -for use as calibrations with ``--masters_dir``. +One can specifiy the path to a set of calibraion files +for use as calibrations with ``--calib_dir``. .. code-block:: bash - pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz b28.fits.gz --masters_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/shane_kast_blue/TMP/shane_kast_blue_A/Masters + pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz b28.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/shane_kast_blue/TMP/shane_kast_blue_A/Calibrations Note that the code will adopt the setup and bit number -of the Masters files. +of the calibration files. Warning: the code will not check that the configuration of these calibration files match the science frames. @@ -160,7 +160,7 @@ Calibrations Folder One can specifiy the path to a folder containing one or more *sub-folders* of reduced calibration files, -each of which would hold a Masters/ folder. +each of which would hold a Calibrations/ folder. This is set with the ``--calib_dir`` option. A standard use case is for ``keck_deimos`` reductions @@ -224,7 +224,7 @@ detector: .. code-block:: bash - pypeit_ql keck_lris_red --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_lris_red/long_600_7500_d560 --rawfiles LR.20160216.40478.fits.gz --masters_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_lris_red/long_600_7500_d560/Masters --det 2 + pypeit_ql keck_lris_red --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_lris_red/long_600_7500_d560 --rawfiles LR.20160216.40478.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_lris_red/long_600_7500_d560/Calibrations --det 2 This will only process the second detector. @@ -254,7 +254,7 @@ Here is an example with ``keck_deimos``: .. code-block:: bash - pypeit_ql keck_deimos --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_deimos/600ZD_M_6500 --rawfiles d1010_0056.fits.gz --masters_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_deimos/600ZD_M_6500/Masters --slitspatnum MSC02:452 + pypeit_ql keck_deimos --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_deimos/600ZD_M_6500 --rawfiles d1010_0056.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_deimos/600ZD_M_6500/Calibrations --slitspatnum MSC02:452 Here we have specified ``--slitspatnum`` as @@ -275,7 +275,7 @@ Here is an example with ``keck_deimos``: .. code-block:: bash - pypeit_ql keck_deimos --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_deimos/600ZD_M_6500 --rawfiles d1010_0056.fits.gz --masters_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_deimos/600ZD_M_6500/Masters --maskID 958454 + pypeit_ql keck_deimos --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_deimos/600ZD_M_6500 --rawfiles d1010_0056.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_deimos/600ZD_M_6500/Calibrations --maskID 958454 This requires that the detector(s) with this slit have been calibrated (or will be calibrated, e.g. by diff --git a/doc/releases/1.12.0.rst b/doc/releases/1.12.0.rst index 58b6f1be12..0b52f2aecf 100644 --- a/doc/releases/1.12.0.rst +++ b/doc/releases/1.12.0.rst @@ -8,7 +8,7 @@ Functionality Improvements / User-level Updates - Refactor quicklook scripts - Added spectral flexure and reference frame corrections for IFU data - Allow separate sky frame to be used for sky subtraction with IFU data -- Limit the images written to the MasterEdges file to only the trace +- Limit the images written to the Edges file to only the trace image, mask, and detector. Instrument-specific Updates diff --git a/doc/releases/1.6.0.rst b/doc/releases/1.6.0.rst index 43e9522d63..ef9e35fe63 100644 --- a/doc/releases/1.6.0.rst +++ b/doc/releases/1.6.0.rst @@ -4,6 +4,6 @@ Version 1.6.0 - Improved basic image processing, particularly error propagation and documentation -- Minor changes to MasterBias, MasterBias, and spec1d datamodel. +- Minor changes to Bias, Dark, and spec1d datamodel. diff --git a/doc/releases/1.8.0.rst b/doc/releases/1.8.0.rst index ef099a4a94..a7faaa8105 100644 --- a/doc/releases/1.8.0.rst +++ b/doc/releases/1.8.0.rst @@ -23,7 +23,7 @@ Datamodel changes and algorithmic improvements - Improved performance of L.A. Cosmic implementation - Now uses stars in alignment boxes for default calculation of slitmask offsets in DEIMOS reductions. -- 2D wavelength calibration image now added to MasterFlat output +- 2D wavelength calibration image now added to Flat output - Improved treatment of saturation. - Dark counts used for calculating the shot noise now includes measured dark images if provided. diff --git a/doc/running.rst b/doc/running.rst index 8f8d792eae..95876fc0cd 100644 --- a/doc/running.rst +++ b/doc/running.rst @@ -35,7 +35,7 @@ Before executing ``run_pypeit``, you must have #. Edited the :doc:`pypeit_file` in that directory as recommended for a successful reduction. - #. (optional) Removed any calibration files in the ``Masters/`` folder. + #. (optional) Removed any calibration files in the ``Calibrations/`` folder. This is particularly necessary if you're re-reducing data that was previously reduced by an older PypeIt version. However, when in doubt, it's good practice to perform a fresh reduction by removing these files @@ -82,10 +82,8 @@ then remove them and run without ``-o``. -m ++ -This ``-m`` or ``--do_not_use_masters`` flag tells PypeIt to **avoid** -using any existing -calibration frames (referred to as "Master Frames") instead -of loading from disk. +This ``-m`` or ``--do_not_use_calibs`` flag tells PypeIt to **avoid** using any +existing calibration frames instead of loading from disk. Using this can *greatly* slow down the code. diff --git a/doc/scripts.rst b/doc/scripts.rst index d5992b37bc..3d6ad0b7bb 100644 --- a/doc/scripts.rst +++ b/doc/scripts.rst @@ -2,7 +2,7 @@ .. TODO: We should consider removing bin/pypeit_clean and bin/pypeit_cp_spec1d -.. TODO: Can we update the ql masters install script to use the cache system? +.. TODO: Can we update the ql calibs install script to use the cache system? .. _pypeit_scripts: @@ -68,17 +68,17 @@ The script usage can be displayed by calling the script with the .. include:: help/pypeit_install_telluric.rst -pypeit_install_ql_masters -------------------------- +pypeit_install_ql_calibs +------------------------ -After downloading the ``QL_MASTERS`` directory for use with the quick-look +After downloading the ``QL_CALIB`` directory for use with the quick-look scripts, this script "installs" the files by creating a symlink to it within the PypeIt code base. The script usage can be displayed by calling the script with the ``-h`` option: -.. include:: help/pypeit_install_ql_masters.rst +.. include:: help/pypeit_install_ql_calibs.rst pypeit_install_linelist ----------------------- @@ -164,59 +164,6 @@ to the screen; e.g.: A False ALDc200205.fits None True -.. _pypeit-parse-calib-id: - -pypeit_parse_calib_id ---------------------- - -The ``pypeit_parse_calib_id`` script prints a simple summary to the screen -of the calibration frames. This enables you (hopefully) to parse the -rather obscure PypeIt naming. Here is a typical call: - -.. code-block:: console - - pypeit_parse_calib_id vlt_xshooter_vis_1x1.pypeit - -And the associated output: - -.. TODO: Make sure this is up to date - -.. code-block:: python - - { - "1": { - "A_1_DET01": { - "arc": { - "master_key": "A_1_DET01", - "master_name": "MasterArc_A_1_DET01.fits", - "raw_files": [ - "XSHOO.2010-04-28T14:36:27.000.fits.gz" - ] - }, - "bias": { - "master_key": "A_1_DET01", - "master_name": "MasterBias_A_1_DET01.fits", - "raw_files": [ - "XSHOO.2010-04-28T10:23:42.901.fits.gz", - "XSHOO.2010-04-28T10:26:26.465.fits.gz", - "XSHOO.2010-04-28T10:29:10.029.fits.gz" - ] - }, - "tilt": { - "master_key": "A_1_DET01", - "master_name": "MasterTiltimg_A_1_DET01.fits", - "raw_files": [ - "XSHOO.2010-04-28T14:36:27.000.fits.gz" - ] - } - } - } - } - -Here, the first level is the calib_grp (``1``), the next level gives -the Master key (``A_1_DET01``) and then there is a listing of the files -contributing to each of the :ref:`calibrations`. See those docs for more. - pypeit_obslog ------------- @@ -441,8 +388,8 @@ The script usage can be displayed by calling the script with the pypeit_chk_alignments --------------------- -This script simply shows the ``MasterAlignments`` file for visual inspection; -see :doc:`calibrations/master_align`. +This script simply shows the ``Alignments`` file for visual inspection; +see :doc:`calibrations/align`. The script usage can be displayed by calling the script with the ``-h`` option: @@ -466,7 +413,7 @@ pypeit_parse_slits ------------------ This script prints a simple summary of the state of the reduction for all of the -slits in a given :doc:`out_spec2D` or :doc:`calibrations/master_slits` file. +slits in a given :doc:`out_spec2D` or :doc:`calibrations/slits` file. Here is a standard call: .. code-block:: console @@ -505,7 +452,7 @@ pypeit_chk_wavecalib -------------------- This script prints a set of simple wavelength calibration diagnostics for all of -the slits in a given :doc:`out_spec2D` or :doc:`calibrations/master_wvcalib` +the slits in a given :doc:`out_spec2D` or :doc:`calibrations/wvcalib` file. See :ref:`pypeit-chk-wavecalib` for more details. Standard command-line calls are: @@ -517,7 +464,7 @@ or: .. code-block:: console - pypeit_chk_wavecalib Masters/MasterWaveCalib_A_1_DET07.fits + pypeit_chk_wavecalib Calibrations/WaveCalib_A_1_DET07.fits The script usage can be displayed by calling the script with the ``-h`` option: @@ -533,7 +480,7 @@ solutions. Here is a standard call: .. code-block:: console - pypeit_show_wvcalib MasterWaveCalib_A_1_DET01.fits 17 --is_order # for magellan_mage + pypeit_show_wvcalib WaveCalib_A_1_DET01.fits 17 --is_order # for magellan_mage This launches a `matplotlib`_` GUI plot of Order=17 for the magellan_mage spectrograph. diff --git a/doc/skysub.rst b/doc/skysub.rst index 541d560505..cf04457e3c 100644 --- a/doc/skysub.rst +++ b/doc/skysub.rst @@ -125,21 +125,21 @@ the sky regions, press the "Continue (and don't save changes)" button. The menu bar at the top of the screen will prompt you if you wish to save these sky regions (click on either YES or NO). If you chose to save the regions file, the regions will be -saved in your ``Masters/`` folder, with a prefix ``MasterSkyRegions``. -A given ``MasterSkyRegions`` file is linked to a science frame -based on the name of the ``MasterSkyRegions`` file. +saved in your ``Calibrations/`` folder, with a prefix ``SkyRegions``. +A given ``SkyRegions`` file is linked to a science frame +based on the name of the ``SkyRegions`` file. -.. TODO: We should document the datamodel of these MasterSkyRegions files +.. TODO: We should document the datamodel of these SkyRegions files .. somewhere... Once you have defined all of the sky regions manually, re-run -the reduction. If a sky regions file exists in the ``Masters/`` folder +the reduction. If a sky regions file exists in the ``Calibrations/`` folder for a corresponding science frame, it will be used as a default. .. note:: If you manually create a sky regions file - this will be used by default in - PypeIt. You should either delete or rename the ``MasterSkyRegions`` file if + PypeIt. You should either delete or rename the ``SkyRegions`` file if you later want to use the automatic PypeIt algorithm. diff --git a/doc/spectrographs/gemini_gmos.rst b/doc/spectrographs/gemini_gmos.rst index 9521658ab1..bcf44a1b72 100644 --- a/doc/spectrographs/gemini_gmos.rst +++ b/doc/spectrographs/gemini_gmos.rst @@ -52,7 +52,7 @@ of plots): .. code-block:: console pypeit_trace_edges -f my_pypeit_file.pypeit --debug --show - pypeit_chk_edges Masters/MasterEdges_file.fits.gz + pypeit_chk_edges Calibrations/Edges_file.fits.gz 2. diff --git a/doc/spectrographs/keck_nires.rst b/doc/spectrographs/keck_nires.rst index cb5d9774c5..d97928146f 100644 --- a/doc/spectrographs/keck_nires.rst +++ b/doc/spectrographs/keck_nires.rst @@ -58,7 +58,7 @@ The NIRES calibration GUI/scripts provide the option to take flats with the lamp PypeIt is able to recognize those frames and it will assign them the ``lampoffflats`` frame type. Whenever ``lampoffflats`` frames are identified in the PypeIt file, PypeIt will subtract them from the frames taken with the lamps on before creating the -:doc:`../calibrations/master_edges` and :doc:`../calibrations/master_flat` +:doc:`../calibrations/edges` and :doc:`../calibrations/flat` frames. The user is responsible for ensuring that the ``lampoffflats`` frames in the PypeIt file have the same exposure times as the ``trace`` and ``pixelflat`` frames. diff --git a/doc/spectrographs/lris.rst b/doc/spectrographs/lris.rst index 74112610a0..9660cd7949 100644 --- a/doc/spectrographs/lris.rst +++ b/doc/spectrographs/lris.rst @@ -139,7 +139,7 @@ for detector 2. This may occur if the counts from the flat field are too low (e.g., using internal flats rather than twilight flats with a higher signal in the blue). Therefore, if you use internal flats, be careful to inspect the -slits defined by PypeIt as described in :doc:`../calibrations/master_edges`. +slits defined by PypeIt as described in :doc:`../calibrations/edges`. If the defined slit(s) does not cover the portion of the illuminated detector where your source falls, you diff --git a/doc/spectrographs/mosfire.rst b/doc/spectrographs/mosfire.rst index e4211b8dcc..348e864f4a 100644 --- a/doc/spectrographs/mosfire.rst +++ b/doc/spectrographs/mosfire.rst @@ -141,7 +141,7 @@ observations**. The purpose of the ``lampoffflats`` is to remove the increase an by persistence from the high counts in the flats and/or thermal emission from the telescope/dome (in the K-band). PypeIt is able to recognize flat frames taken with the lamps off, and it will assign them the ``lampoffflats`` frame type. Whenever ``lampoffflats`` frames are identified in the PypeIt file, PypeIt -will subtract them from the frames taken with the lamps on before creating the :doc:`../calibrations/master_edges` and :doc:`../calibrations/master_flat` +will subtract them from the frames taken with the lamps on before creating the :doc:`../calibrations/edges` and :doc:`../calibrations/flat` frames. The user is responsible for ensuring that the ``lampoffflats`` frames in the PypeIt file have the same exposure times as the ``trace``, ``pixelflat`` and ``illumflat`` frames. diff --git a/doc/tutorials/deimos_howto.rst b/doc/tutorials/deimos_howto.rst index f6e258f011..b7eb53f273 100644 --- a/doc/tutorials/deimos_howto.rst +++ b/doc/tutorials/deimos_howto.rst @@ -148,7 +148,7 @@ window after using the :ref:`pypeit_chk_edges` script, with this explicit call (be patient with `ginga`_):: - pypeit_chk_edges Masters/MasterEdges_A_1_07.fits.gz + pypeit_chk_edges Calibrations/Edges_A_1_07.fits.gz .. image:: ../figures/deimos_edges_image.png @@ -159,7 +159,7 @@ lines indicate the left/right slit edges (green/magenta in more recent versions) labels are the internal slit identifiers of PypeIt. The cyan numbers are the user-assigned ID values of the slits. -See :doc:`../calibrations/master_edges` for further details. +See :doc:`../calibrations/edges` for further details. Arc +++ @@ -167,14 +167,14 @@ Arc Here is a screen shot of most of the arc image as viewed with `ginga`_:: - ginga Masters/MasterArc_A_1_07.fits + ginga Calibrations/Arc_A_1_DET07.fits As typical of most arc images, one sees a series of arc lines, here oriented approximately horizontally. .. image:: ../figures/deimos_arc_image.png -See :doc:`../calibrations/master_arc` for further details. +See :doc:`../calibrations/arc` for further details. Wavelengths +++++++++++ @@ -200,7 +200,7 @@ What you hope to see in this QA is: - In the upper right, an RMS < 0.1 pixels - In the lower right, a random scatter about 0 residuals -See :doc:`../calibrations/master_wvcalib` for further details. +See :doc:`../calibrations/wvcalib` for further details. 2D @@ -217,7 +217,7 @@ the spectral position. "Good" measurements included in the parametric trace are shown as black points; rejected points are shown in red. Provided most were not rejected, the fit should be good. An RMS<0.1 is also desired. -See :doc:`../calibrations/master_wvcalib` for further details. +See :doc:`../calibrations/wvcalib` for further details. Flatfield +++++++++ @@ -229,7 +229,7 @@ Here is a zoom-in screen shot from the first tab in the `ginga`_ window (pixflat_norm) after using :ref:`pypeit_chk_flats`, with this explicit call:: - pypeit_chk_flats Masters/MasterFlat_A_1_07.fits + pypeit_chk_flats Calibrations/Flat_A_1_07.fits .. image:: ../figures/deimos_flat.png @@ -240,7 +240,7 @@ are also plotted (green/red lines; green/magenta in more recent versions). The regions of the detector beyond the slit boundaries have been set to unit value. -See :doc:`../calibrations/master_flat` for further details. +See :doc:`../calibrations/flat` for further details. Spectra ------- diff --git a/doc/tutorials/gnirs_howto.rst b/doc/tutorials/gnirs_howto.rst index ac48fb33e5..4a8e49d1a5 100644 --- a/doc/tutorials/gnirs_howto.rst +++ b/doc/tutorials/gnirs_howto.rst @@ -74,7 +74,7 @@ another one to be generated from the average of the Bs, then we would set the ``calib`` IDs to be 0110, where the 0 and 1 are arbitrary numbers (i.e. it could also be 4554). However, if the instrument is not expected to flex much in an ABBA sequence, it is actually advantageous to combine the entire ABBA sequence -into one Master frame for wavelength calibration and tilt generation. The reason +into one frame for wavelength calibration and tilt generation. The reason for this is that by averaging four images, the flux from the science object gets diluted. This is desirable for OH wavelength and tilt calibrations because the object counts, particularly if the object is bright, is actually a contaminant. diff --git a/doc/tutorials/kast_howto.rst b/doc/tutorials/kast_howto.rst index 11de4955b0..f0e593b481 100644 --- a/doc/tutorials/kast_howto.rst +++ b/doc/tutorials/kast_howto.rst @@ -100,14 +100,14 @@ with `ginga`_: .. code-block:: bash - ginga Masters/MasterBias_A_1_01.fits + ginga Calibrations/Bias_A_1_01.fits As typical of most bias images, it is featureless (effectively noise from the readout). .. image:: ../figures/kastb_bias_image.png -See :doc:`../calibrations/master_bias` for further details. +See :doc:`../calibrations/bias` for further details. Arc +++ @@ -117,14 +117,14 @@ with `ginga`_: .. code-block:: bash - ginga Masters/MasterArc_A_1_01.fits + ginga Calibrations/Arc_A_1_01.fits As typical of most arc images, one sees a series of arc lines, here oriented horizontally (as always in PypeIt). .. image:: ../figures/kastb_arc_image.png -See :doc:`../calibrations/master_arc` for further details. +See :doc:`../calibrations/arc` for further details. Slit Edges @@ -140,7 +140,7 @@ the :ref:`pypeit_chk_edges` script, with this explicit call: .. code-block:: bash - pypeit_chk_edges Masters/MasterEdges_A_1_01.fits.gz + pypeit_chk_edges Calibrations/Edges_A_1_01.fits.gz .. image:: ../figures/kastb_edges_image.png @@ -148,7 +148,7 @@ The data is the combined flat images and the green/red lines indicate the left/right slit edges (green/magenta in more recent versions). The S174 label indicates the slit name. -See :doc:`../calibrations/master_edges` for further details. +See :doc:`../calibrations/edges` for further details. Wavelengths @@ -171,7 +171,7 @@ What you hope to see in this QA is: - In the upper right, an RMS < 0.1 pixels - In the lower right, a random scatter about 0 residuals -See :doc:`../calibrations/master_wvcalib` for further details. +See :doc:`../calibrations/wvcalib` for further details. 2D :: @@ -187,7 +187,7 @@ the spectral position. "Good" measurements included in the parametric trace are shown as black points; rejected points are shown in red. Provided most were not rejected, the fit should be good. An RMS<0.1 is also desired. -See :doc:`../calibrations/master_wvcalib` for further details. +See :doc:`../calibrations/wvcalib` for further details. Flatfield +++++++++ @@ -201,7 +201,7 @@ window (``pixflat_norm``) after using .. code-block:: bash - pypeit_chk_flats Masters/MasterFlat_A_1_01.fits + pypeit_chk_flats Calibrations/Flat_A_1_01.fits .. image:: ../figures/kastb_flat.png @@ -212,7 +212,7 @@ are also plotted (green/red lines; green/magenta in more recent versions). The region of the detector beyond these images has been set to unit value. -See :doc:`../calibrations/master_flat` for further details. +See :doc:`../calibrations/flat` for further details. Spectra ------- diff --git a/doc/tutorials/mosfire_howto.rst b/doc/tutorials/mosfire_howto.rst index 79727e1ac4..afb605aed2 100644 --- a/doc/tutorials/mosfire_howto.rst +++ b/doc/tutorials/mosfire_howto.rst @@ -252,7 +252,7 @@ with this explicit call: .. code-block:: bash - pypeit_chk_edges Masters/MasterEdges_A_1_DET01.fits.gz + pypeit_chk_edges Calibrations/Edges_A_1_DET01.fits.gz which opens the `ginga`_ image viewer. Here is a zoom-in screenshot from the first tab in the `ginga`_ window: @@ -266,9 +266,9 @@ The green/magenta lines indicate the left/right slit edges. The aquamarine labe ``S`` are the internal slit identifiers of PypeIt, while the cyan numbers are the ``Slit_Number`` values from the slitmask design, which within the Pypeit framework are called ``maskdef_id``. -See :doc:`../calibrations/master_edges` for further details. +See :doc:`../calibrations/edges` for further details. -We can also inspect the ``MasterSlits`` file, which contains the main information on the traced slit edges, +We can also inspect the ``Slits`` file, which contains the main information on the traced slit edges, organized into left-right slit pairs. This is a multi-extension FITS file with two `astropy.io.fits.BinTableHDU`_ (for MOSFIRE). The second extension, called ``MASKDEF_DESIGNTAB``, includes all the relevant slitmask design information. In this example, ``MASKDEF_DESIGNTAB`` looks like this: @@ -278,7 +278,7 @@ all the relevant slitmask design information. In this example, ``MASKDEF_DESIGNT from astropy.io import fits from astropy.table import Table - hdu=fits.open('Masters/MasterSlits_A_1_DET01.fits.gz') + hdu=fits.open('Calibrations/Slits_A_1_DET01.fits.gz') Table(hdu['MASKDEF_DESIGNTAB'].data) TRACEID TRACESROW TRACELPIX TRACERPIX SPAT_ID MASKDEF_ID SLITLMASKDEF SLITRMASKDEF SLITRA SLITDEC SLITLEN SLITWID SLITPA ALIGN OBJID OBJRA OBJDEC OBJNAME OBJMAG OBJMAG_BAND OBJ_TOPDIST OBJ_BOTDIST @@ -293,27 +293,27 @@ all the relevant slitmask design information. In this example, ``MASKDEF_DESIGNT 6 1020 1499.9742311891168 1806.507759778495 1653 2 1507.0 1812.0 56.311583333333324 32.202536111111115 54.88 0.7 -176.0 0 0 56.30754166666666 32.20280555555556 904 12.91 None 15.13 39.75 7 1020 1810.4302772426022 2029.2203606069088 1920 1 1817.0 2034.0 56.32729166666665 32.20144166666667 38.93 0.7 -176.0 0 0 56.32429166666666 32.201638888888894 10120 11.99 None 10.355 28.575 -See :ref:`master_slits` for a description of all the columns of this table. +See :ref:`slits` for a description of all the columns of this table. Arc +++ As mentioned before, we use the OH lines in the science frames to perform the wavelength calibration, -therefore, the ``MasterArc`` image is made by the combined science frames. +therefore, the ``Arc`` image is made by the combined science frames. -Here is a zoom-in screenshot of the ``MasterArc`` image as viewed with `ginga`_: +Here is a zoom-in screenshot of the ``Arc`` image as viewed with `ginga`_: .. code-block:: bash - ginga Masters/MasterArc_A_1_DET01.fits + ginga Calibrations/Arc_A_1_DET01.fits .. image:: ../figures/mosfire_arc_image.png :scale: 40% where we can see several OH lines oriented approximately horizontally. -See :doc:`../calibrations/master_arc` for further details. +See :doc:`../calibrations/arc` for further details. Wavelengths +++++++++++ @@ -342,7 +342,7 @@ for all the spectra. We can run it with this simple call: .. code-block:: bash - pypeit_chk_wavecalib Masters/MasterWaveCalib_A_1_DET01.fits + pypeit_chk_wavecalib Calibrations/WaveCalib_A_1_DET01.fits and it prints on screen the following: @@ -375,29 +375,29 @@ Red points were rejected in the 2D fitting. Provided most were not rejected, the fit should be good. An RMS<0.1 is also desired for this fit. -See :doc:`../calibrations/master_tilts` for further details. +See :doc:`../calibrations/tilts` for further details. Flatfield +++++++++ The code produces flat field images for correcting pixel-to-pixel variations and illumination of the detector. -To inspect the ``MasterFlat`` images we can use the script :ref:`pypeit_chk_flats`, with this explicit call: +To inspect the ``Flat`` images we can use the script :ref:`pypeit_chk_flats`, with this explicit call: .. code-block:: bash - pypeit_chk_flats Masters/MasterFlat_A_1_DET01.fits + pypeit_chk_flats Calibrations/Flat_A_1_DET01.fits Here is a zoom-in screenshot from the first tab in the `ginga`_ window (``pixflat_norm``): .. image:: ../figures/mosfire_flat.png :scale: 40% -In this example, for all the ``MasterFlat`` images the flats with the lamps off have been subtracted. +In this example, for all the ``Flat`` images the flats with the lamps off have been subtracted. Note that the pixel-to-pixel variations are expressed at the percent level. The slit edges defined during the `Slit Edges`_ tracing process and tweaked using the illumination flat field are also plotted (green/magenta lines). -See :doc:`../calibrations/master_flat` for further details. +See :doc:`../calibrations/flat` for further details. Object finding -------------- diff --git a/doc/tutorials/nires_howto.rst b/doc/tutorials/nires_howto.rst index 64e1ad0734..0d9495fe3e 100644 --- a/doc/tutorials/nires_howto.rst +++ b/doc/tutorials/nires_howto.rst @@ -161,7 +161,7 @@ same. To show the results of the trace, run, e.g.: .. code-block:: bash - pypeit_chk_edges Masters/MasterEdges_A_7_DET01.fits.gz + pypeit_chk_edges Calibrations/Edges_A_7_DET01.fits.gz which will show the image and overlay the traces (green is the left edge; magenta is the right edge); this should open a `ginga`_ window for you if one @@ -187,10 +187,10 @@ Next the code performs the wavelength calibration. Via the :ref:`pypeit_file`, we designated two sets of wavelength calibration frames, one for the standard star and one for the science frame. You should inspect the results for both. -First, it's important to understand PypeIt's :ref:`master-naming` convention, +First, it's important to understand PypeIt's :ref:`calib-naming` convention, specifically the calibration group bit identities used in the output file names. -In this example, two :ref:`masterarc` files are produced: -``Masters/MasterArc_A_2_DET01.fits`` and ``Masters/MasterArc_A_4_DET01.fits``. +In this example, two :ref:`arc` files are produced: +``Calibrations/Arc_A_2_DET01.fits`` and ``Calibrations/Arc_A_4_DET01.fits``. The ``2`` and ``4`` are the bits associated with the calibration group and link back to which files are associated with each frame type. The :ref:`calibrations-calibfile` provides the direct association of input frame @@ -204,7 +204,7 @@ observations with `ginga`_: .. code-block:: bash - ginga Masters/MastersArc_A_2_DET01.fits + ginga Calibrations/sArc_A_2_DET01.fits 1D Wavelength Solution ++++++++++++++++++++++ @@ -233,7 +233,7 @@ wavelength calibration for all orders. We can run it with this simple call: .. code-block:: bash - pypeit_chk_wavecalib Masters/MasterWaveCalib_A_2_DET01.fits + pypeit_chk_wavecalib Calibrations/WaveCalib_A_2_DET01.fits and it prints on screen the following (you may need to expand the width of your terminal to see the full output): @@ -294,13 +294,13 @@ PypeIt computes a number of multiplicative corrections to correct the 2D spectral response for pixel-to-pixel detector throughput variations and lower-order spatial and spectral illumination and throughput corrections. We collectively refer to these as flat-field corrections; see :ref:`here -` and :ref:`here `. +` and :ref:`here `. You can inspect the flat-field corrections using the following script: .. code-block:: bash - pypeit_chk_flats Masters/MasterFlat_A_7_DET01.fits + pypeit_chk_flats Calibrations/Flat_A_7_DET01.fits Note that the calibration group number for this image is ``7`` (instead of 2 or 4) because the flat field images were used for all calibration groups. The diff --git a/pypeit/scripts/install_ql_masters.py b/pypeit/scripts/install_ql_calibs.py similarity index 84% rename from pypeit/scripts/install_ql_masters.py rename to pypeit/scripts/install_ql_calibs.py index 036be6baf0..5aa24451dd 100644 --- a/pypeit/scripts/install_ql_masters.py +++ b/pypeit/scripts/install_ql_calibs.py @@ -1,5 +1,5 @@ """ -Script to install quick-look master files into the user's pypeit installation. +Script to install quick-look calibration files into the user's pypeit installation. .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst @@ -9,20 +9,20 @@ from pypeit import data -class InstallQLMasters(scriptbase.ScriptBase): +class InstallQLCalibs(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): import os - parser = super().get_parser(description='Script to install PypeIt QL Master files', + parser = super().get_parser(description='Script to install PypeIt QL calibration files', width=width) group = parser.add_mutually_exclusive_group() group.add_argument('--zip', type=str, default=None, - help='Zip file of the full QL_MASTERS directory downloaded from the ' + help='Zip file of the full QL_CALIB directory downloaded from the ' 'PypeIt Google Drive') group.add_argument('--ql_path', type=str, default=None, - help='An existing directory to symlink as the QL_MASTERS directory.') + help='An existing directory to symlink as the QL_CALIB directory.') parser.add_argument('--odir', type=str, default='current working directory', help='The directory in which to extract the zip file. Ignored if a ' 'direct path is provided using --ql_path.') @@ -40,7 +40,7 @@ def main(args): # Check that either the zip file or the directory is provided if args.zip is None and args.ql_path is None: raise ValueError('Must provide either the zip file or the path to an existing ' - 'QL_MASTERS directory.') + 'QL_CALIB directory.') if args.zip is None: # Directory should already exist. Check that @@ -62,13 +62,13 @@ def main(args): zip_ref.extractall() # Check that it created the expected directory - ql_dir = os.path.join(_odir, 'QL_MASTERS') + ql_dir = os.path.join(_odir, 'QL_CALIB') if not os.path.isdir(ql_dir): - raise NotADirectoryError('Zip file should have created a QL_MASTERS directory in ' + raise NotADirectoryError('Zip file should have created a QL_CALIB directory in ' f'{_odir}, but that directory does not exist. Check ' 'and/or re-download the zip file.') - # Create a symlink to the QL_MASTERS directory in the pypeit/data + # Create a symlink to the QL_CALIB directory in the pypeit/data # directory. create_symlink(ql_dir, data.Paths.data, overwrite=True) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 616ff85539..9c9ba877f5 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -286,8 +286,8 @@ def get_parser(cls, width=None): help="Full path to where QL reduction should be run.") parser.add_argument("--calib_dir", type=str, help="Location folders of calibration reductions") - parser.add_argument("--masters_dir", type=str, - help="Location of PypeIt Master files used for the reduction.") + parser.add_argument("--calib_dir", type=str, + help="Location of PypeIt calibration files used for the reduction.") parser.add_argument("--calibs_only", default=False, action="store_true", help='Reduce only the calibrations?') parser.add_argument("--clobber_calibs", default=False, From 2f92df1d4abf8b82febe3c0650f427c708777cd1 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 23 Mar 2023 17:07:34 -0700 Subject: [PATCH 095/308] io test --- pypeit/tests/test_io.py | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 pypeit/tests/test_io.py diff --git a/pypeit/tests/test_io.py b/pypeit/tests/test_io.py new file mode 100644 index 0000000000..a532a8003a --- /dev/null +++ b/pypeit/tests/test_io.py @@ -0,0 +1,15 @@ +""" +Tests on io module +""" +from pypeit import io + +def test_remove_suffix(): + assert io.remove_suffix('unzipped_file.txt') == 'unzipped_file', 'bad unzipped removal' + assert io.remove_suffix('/path/to/unzipped_file.fits') == 'unzipped_file', \ + 'bad path and/or suffix removal for unzipped file' + assert io.remove_suffix('dot.separated.file.name.txt') == 'dot.separated.file.name', \ + 'bad many suffix removal' + assert io.remove_suffix('gzipped_file.fits.gz') == 'gzipped_file', 'bad gzipped removal' + +test_remove_suffix() + From 7db338c72a42054d28f9fce0006c3c686433d051 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 23 Mar 2023 17:34:27 -0700 Subject: [PATCH 096/308] CHANGES + docs --- CHANGES.rst | 1 + doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 2 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 2 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 2 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_masters.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_calib_id.rst | 2 +- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 2 +- doc/help/pypeit_ql_multislit.rst | 2 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 2 +- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 2 +- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 2 +- doc/pypeit_par.rst | 38 ++++++++++++------------- 41 files changed, 59 insertions(+), 58 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index daf21b66fc..a9546fcea0 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -9,6 +9,7 @@ - Various bug fixes and enhancements to mmt_bluechannel and mmt_binospec support - Include the S/N of extracted spectra in the SpecObj datamodel - Added new specutils interface +- Sensitivity function masking and output updates 1.12.1 (21 Feb 2023) -------------------- diff --git a/doc/help/pypeit_cache_github_data.rst b/doc/help/pypeit_cache_github_data.rst index 2edc890ebc..5948f93d00 100644 --- a/doc/help/pypeit_cache_github_data.rst +++ b/doc/help/pypeit_cache_github_data.rst @@ -25,7 +25,7 @@ vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of GitHub file (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index 99ccabf422..fd2874fbd4 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -9,7 +9,7 @@ master_file PypeIt Master Alignment file [e.g. MasterAlignment_A_1_01.fits] - optional arguments: + options: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: Alignments) \ No newline at end of file diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index b8462b5474..cfa0eb5f74 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -8,7 +8,7 @@ positional arguments: trace_file PypeIt Master Trace file [e.g. MasterEdges_A_01_aa.fits.gz] - optional arguments: + options: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: MTrace) --mpl Use a matplotlib window instead of ginga to show the trace diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index e5620dbae9..6ff848bbf3 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -8,7 +8,7 @@ positional arguments: master_file PypeIt MasterFlat file [e.g. MasterFlat_A_1_01.fits] - optional arguments: + options: -h, --help show this help message and exit --type TYPE Which flats to display. Must be one of: pixel, illum, all (default: all) diff --git a/doc/help/pypeit_chk_for_calibs.rst b/doc/help/pypeit_chk_for_calibs.rst index c48c189260..34b2c930bc 100644 --- a/doc/help/pypeit_chk_for_calibs.rst +++ b/doc/help/pypeit_chk_for_calibs.rst @@ -10,7 +10,7 @@ positional arguments: root File path+root, e.g. /data/Kast/b - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_chk_noise_1dspec.rst b/doc/help/pypeit_chk_noise_1dspec.rst index 6d8b176f81..80fa4e2613 100644 --- a/doc/help/pypeit_chk_noise_1dspec.rst +++ b/doc/help/pypeit_chk_noise_1dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec1d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --fileformat FILEFORMAT Is this coadd1d or spec1d? (default: spec1d) diff --git a/doc/help/pypeit_chk_noise_2dspec.rst b/doc/help/pypeit_chk_noise_2dspec.rst index d5be3f1c5b..fc20909467 100644 --- a/doc/help/pypeit_chk_noise_2dspec.rst +++ b/doc/help/pypeit_chk_noise_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec2d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --det DET Detector name or number. If a number, the name is constructed assuming the reduction is for a single diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 9a729fd23d..2f686a469a 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -9,6 +9,6 @@ input_file PypeIt MasterWaveCalib file [e.g. MasterWaveCalib_A_1_01.fits] or spec2d file - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_coadd_1dspec.rst b/doc/help/pypeit_coadd_1dspec.rst index 7cb6e00a1b..70e09065cf 100644 --- a/doc/help/pypeit_coadd_1dspec.rst +++ b/doc/help/pypeit_coadd_1dspec.rst @@ -50,7 +50,7 @@ placed in the same directory as the first spec1d file. - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --show show QA during coadding process diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index ce2de777be..7e39b3efe4 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -9,7 +9,7 @@ Coadd 2D spectra produced by PypeIt - optional arguments: + options: -h, --help show this help message and exit --file FILE File to guide 2d coadds (default: None) --det DET 1-indexed detector or list of detectors that the user diff --git a/doc/help/pypeit_coadd_datacube.rst b/doc/help/pypeit_coadd_datacube.rst index d985b4adb1..8443926bdf 100644 --- a/doc/help/pypeit_coadd_datacube.rst +++ b/doc/help/pypeit_coadd_datacube.rst @@ -8,7 +8,7 @@ positional arguments: file filename.coadd3d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_collate_1d.rst b/doc/help/pypeit_collate_1d.rst index b837654ee1..d2ffb83325 100644 --- a/doc/help/pypeit_collate_1d.rst +++ b/doc/help/pypeit_collate_1d.rst @@ -42,7 +42,7 @@ ... end - optional arguments: + options: -h, --help show this help message and exit --spec1d_files [SPEC1D_FILES ...] One or more spec1d files to flux/coadd/archive. Can diff --git a/doc/help/pypeit_compare_sky.rst b/doc/help/pypeit_compare_sky.rst index b76f647862..9e2f02f7d1 100644 --- a/doc/help/pypeit_compare_sky.rst +++ b/doc/help/pypeit_compare_sky.rst @@ -12,7 +12,7 @@ file spec1d Spectral file skyfile Archived PypeIt sky file (e.g. paranal_sky.fits) - optional arguments: + options: -h, --help show this help message and exit --exten EXTEN FITS extension (default: None) --optimal Show Optimal? Default is boxcar (default: False) diff --git a/doc/help/pypeit_flux_calib.rst b/doc/help/pypeit_flux_calib.rst index 769f27aae3..2794ddf7f3 100644 --- a/doc/help/pypeit_flux_calib.rst +++ b/doc/help/pypeit_flux_calib.rst @@ -46,7 +46,7 @@ spectrographs: keck_deimos - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --par_outfile Output to save the parameters diff --git a/doc/help/pypeit_flux_setup.rst b/doc/help/pypeit_flux_setup.rst index a0dac7e6fe..83b3fbb379 100644 --- a/doc/help/pypeit_flux_setup.rst +++ b/doc/help/pypeit_flux_setup.rst @@ -8,7 +8,7 @@ positional arguments: sci_path Path for Science folder - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the telluric fitting. The diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index 3f652479e1..fee01820cc 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -14,7 +14,7 @@ arc_file PypeIt MasterArc file slits_file PypeIt MasterSlits file - optional arguments: + options: -h, --help show this help message and exit --lamps LAMPS Comma separated list of calibration lamps (no spaces) (default: None) diff --git a/doc/help/pypeit_install_extinctfile.rst b/doc/help/pypeit_install_extinctfile.rst index 64090f4d10..6afa788341 100644 --- a/doc/help/pypeit_install_extinctfile.rst +++ b/doc/help/pypeit_install_extinctfile.rst @@ -9,6 +9,6 @@ files Filename(s) of the extinction file(s) to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_linelist.rst b/doc/help/pypeit_install_linelist.rst index af1bbe414c..be23b96a96 100644 --- a/doc/help/pypeit_install_linelist.rst +++ b/doc/help/pypeit_install_linelist.rst @@ -9,6 +9,6 @@ files Filename(s) of the line list files to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_ql_masters.rst b/doc/help/pypeit_install_ql_masters.rst index 522bd7b222..77c1bfa3f9 100644 --- a/doc/help/pypeit_install_ql_masters.rst +++ b/doc/help/pypeit_install_ql_masters.rst @@ -6,7 +6,7 @@ Script to install PypeIt QL Master files - optional arguments: + options: -h, --help show this help message and exit --zip ZIP Zip file of the full QL_MASTERS directory downloaded from the PypeIt Google Drive (default: None) diff --git a/doc/help/pypeit_install_telluric.rst b/doc/help/pypeit_install_telluric.rst index 8eb93ed9b6..387b524076 100644 --- a/doc/help/pypeit_install_telluric.rst +++ b/doc/help/pypeit_install_telluric.rst @@ -10,7 +10,7 @@ files Filename(s) of the TelFits files to be downloaded from the Cloud and installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of latest version of the telluric grid (default: False) diff --git a/doc/help/pypeit_lowrdx_skyspec.rst b/doc/help/pypeit_lowrdx_skyspec.rst index 86afed5c96..e1579a96fa 100644 --- a/doc/help/pypeit_lowrdx_skyspec.rst +++ b/doc/help/pypeit_lowrdx_skyspec.rst @@ -10,6 +10,6 @@ lowrdx_sky LowRedux Sky Spectrum (IDL save file) new_file PYPIT FITS sky spectrum - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_multislit_flexure.rst b/doc/help/pypeit_multislit_flexure.rst index a12e4d948e..4e748c2d5e 100644 --- a/doc/help/pypeit_multislit_flexure.rst +++ b/doc/help/pypeit_multislit_flexure.rst @@ -19,7 +19,7 @@ outroot Output fileroot for the flexure fits saved as FITS. - optional arguments: + options: -h, --help show this help message and exit --clobber Clobber output files --debug show debug plots? diff --git a/doc/help/pypeit_obslog.rst b/doc/help/pypeit_obslog.rst index 8ca1ccaf68..1f6e2b5290 100644 --- a/doc/help/pypeit_obslog.rst +++ b/doc/help/pypeit_obslog.rst @@ -30,7 +30,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit -r ROOT, --root ROOT Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string diff --git a/doc/help/pypeit_parse_calib_id.rst b/doc/help/pypeit_parse_calib_id.rst index 937585d8d9..d32f7d7718 100644 --- a/doc/help/pypeit_parse_calib_id.rst +++ b/doc/help/pypeit_parse_calib_id.rst @@ -8,6 +8,6 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index 98619a6f48..db9ebe7626 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -8,6 +8,6 @@ positional arguments: input_file Either a spec2D or MasterSlits filename - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_qa_html.rst b/doc/help/pypeit_qa_html.rst index 3d8212496c..53e02ef3d0 100644 --- a/doc/help/pypeit_qa_html.rst +++ b/doc/help/pypeit_qa_html.rst @@ -9,7 +9,7 @@ pypeit_file PYPIT file type QA Type (MF, exp, all) - optional arguments: + options: -h, --help show this help message and exit --qapath QAPATH Path the QA folder including QA/) (default: QA/) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index a4a1ecff81..6f0339c4e1 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -34,7 +34,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --rawfile_list RAWFILE_LIST File providing raw files to reduce including their diff --git a/doc/help/pypeit_ql_multislit.rst b/doc/help/pypeit_ql_multislit.rst index 05c73563ec..ce83350892 100644 --- a/doc/help/pypeit_ql_multislit.rst +++ b/doc/help/pypeit_ql_multislit.rst @@ -34,7 +34,7 @@ full_rawpath Full path to the raw files files list of frames i.e. img1.fits img2.fits - optional arguments: + options: -h, --help show this help message and exit --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or diff --git a/doc/help/pypeit_sensfunc.rst b/doc/help/pypeit_sensfunc.rst index 98969a583e..f7fbd5a38b 100644 --- a/doc/help/pypeit_sensfunc.rst +++ b/doc/help/pypeit_sensfunc.rst @@ -12,7 +12,7 @@ spec1dfile spec1d file for the standard that will be used to compute the sensitivity function - optional arguments: + options: -h, --help show this help message and exit --algorithm {UVIS,IR} Override the default algorithm for computing the diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index bc5388ff0b..9f1f06aa73 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -8,7 +8,7 @@ Parse data files to construct a pypeit file in preparation for reduction using 'run_pypeit' - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_show_1dspec.rst b/doc/help/pypeit_show_1dspec.rst index 373447417c..f137590c50 100644 --- a/doc/help/pypeit_show_1dspec.rst +++ b/doc/help/pypeit_show_1dspec.rst @@ -10,7 +10,7 @@ positional arguments: file Spectral file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --exten EXTEN FITS extension (default: 1) diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index 73613646c2..a6a7307c8f 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -14,7 +14,7 @@ positional arguments: file PypeIt spec2d file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --det DET Detector name or number. If a number, the name is diff --git a/doc/help/pypeit_show_arxiv.rst b/doc/help/pypeit_show_arxiv.rst index 994672a54c..b8cb130a57 100644 --- a/doc/help/pypeit_show_arxiv.rst +++ b/doc/help/pypeit_show_arxiv.rst @@ -8,7 +8,7 @@ positional arguments: file Arxiv filename, e.g. gemini_gmos_r831_ham.fits - optional arguments: + options: -h, --help show this help message and exit --det DET Detector number (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index cb52801d12..6a19f6c390 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -10,7 +10,7 @@ file MasterWaveCalib file slit_order Slit or Order number - optional arguments: + options: -h, --help show this help message and exit --slit_file SLIT_FILE Master Slit file (default: None) diff --git a/doc/help/pypeit_skysub_regions.rst b/doc/help/pypeit_skysub_regions.rst index 4e358c47d9..a8d58033b5 100644 --- a/doc/help/pypeit_skysub_regions.rst +++ b/doc/help/pypeit_skysub_regions.rst @@ -10,7 +10,7 @@ positional arguments: file PypeIt file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_tellfit.rst b/doc/help/pypeit_tellfit.rst index ca4a4276ab..28ae52089d 100644 --- a/doc/help/pypeit_tellfit.rst +++ b/doc/help/pypeit_tellfit.rst @@ -11,7 +11,7 @@ positional arguments: spec1dfile spec1d file that will be used for telluric correction. - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the fitting. The options diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 7f76eb053e..9fe4ee1f91 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -8,7 +8,7 @@ Trace slit edges - optional arguments: + options: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_view_fits.rst b/doc/help/pypeit_view_fits.rst index efb4f521d9..406eb833da 100644 --- a/doc/help/pypeit_view_fits.rst +++ b/doc/help/pypeit_view_fits.rst @@ -30,7 +30,7 @@ wht_isis_blue, wht_isis_red file FITS file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --proc Process the image (i.e. orient, overscan subtract, diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index 0a20f16f6e..0cf84ed1c0 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -25,7 +25,7 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - optional arguments: + options: -h, --help show this help message and exit -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all] diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 4e5d4b082e..5c5af1e32f 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -858,23 +858,24 @@ SensFuncPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.SensFuncPar` -================== ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -================== ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== -``IR`` :class:`~pypeit.par.pypeitpar.TelluricPar` .. `TelluricPar Keywords`_ Parameters for the IR sensfunc algorithm -``UVIS`` :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` .. `SensfuncUVISPar Keywords`_ Parameters for the UVIS sensfunc algorithm -``algorithm`` str ``UVIS``, ``IR`` ``UVIS`` Specify the algorithm for computing the sensitivity function. The options are: (1) UVIS = Should be used for data with lambda < 7000A.No detailed model of telluric absorption but corrects for atmospheric extinction. (2) IR = Should be used for data with lambbda > 7000A.Peforms joint fit for sensitivity function and telluric absorption using HITRAN models. -``extrap_blu`` float .. 0.1 Fraction of minimum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the blue direction, i.e. if the standard star spectrumcuts off at wave_min, the sensfunc will be extrapolated to cover down to (1.0-extrap_blu)*wave_min -``extrap_red`` float .. 0.1 Fraction of maximum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the red direction, i.e. if the standard star spectrumcuts off at wave_max, the sensfunc will be extrapolated to cover up to (1.0 + extrap_red)*wave_max -``mask_abs_lines`` bool .. True Mask Balmer, Paschen, Brackett, and Pfund lines in sensitivity function fit -``multi_spec_det`` list .. .. List of detectors (identified by their string name, like DET01) to splice together for multi-detector instruments (e.g. DEIMOS). It is assumed that there is *no* overlap in wavelength across detectors (might be ok if there is). If entered as a list of integers, they should be converted to the detector name. **Cannot be used with detector mosaics.** -``polyorder`` int, list .. 5 Polynomial order for sensitivity function fitting -``samp_fact`` float .. 1.5 sampling factor to make the wavelength grid for sensitivity function finer or coarser. samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser). -``star_dec`` float .. .. DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent -``star_mag`` float .. .. Magnitude of the standard star (for near-IR mainly) -``star_ra`` float .. .. RA of the standard star. This will override values in the header, i.e. if they are wrong or absent -``star_type`` str .. .. Spectral type of the standard star (for near-IR mainly) -================== ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== +======================= ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +======================= ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== +``IR`` :class:`~pypeit.par.pypeitpar.TelluricPar` .. `TelluricPar Keywords`_ Parameters for the IR sensfunc algorithm +``UVIS`` :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` .. `SensfuncUVISPar Keywords`_ Parameters for the UVIS sensfunc algorithm +``algorithm`` str ``UVIS``, ``IR`` ``UVIS`` Specify the algorithm for computing the sensitivity function. The options are: (1) UVIS = Should be used for data with lambda < 7000A.No detailed model of telluric absorption but corrects for atmospheric extinction. (2) IR = Should be used for data with lambbda > 7000A.Peforms joint fit for sensitivity function and telluric absorption using HITRAN models. +``extrap_blu`` float .. 0.1 Fraction of minimum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the blue direction, i.e. if the standard star spectrumcuts off at wave_min, the sensfunc will be extrapolated to cover down to (1.0-extrap_blu)*wave_min +``extrap_red`` float .. 0.1 Fraction of maximum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the red direction, i.e. if the standard star spectrumcuts off at wave_max, the sensfunc will be extrapolated to cover up to (1.0 + extrap_red)*wave_max +``mask_helium_lines`` bool .. False Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit +``mask_hydrogen_lines`` bool .. True Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit +``multi_spec_det`` list .. .. List of detectors (identified by their string name, like DET01) to splice together for multi-detector instruments (e.g. DEIMOS). It is assumed that there is *no* overlap in wavelength across detectors (might be ok if there is). If entered as a list of integers, they should be converted to the detector name. **Cannot be used with detector mosaics.** +``polyorder`` int, list .. 5 Polynomial order for sensitivity function fitting +``samp_fact`` float .. 1.5 sampling factor to make the wavelength grid for sensitivity function finer or coarser. samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser). +``star_dec`` float .. .. DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent +``star_mag`` float .. .. Magnitude of the standard star (for near-IR mainly) +``star_ra`` float .. .. RA of the standard star. This will override values in the header, i.e. if they are wrong or absent +``star_type`` str .. .. Spectral type of the standard star (for near-IR mainly) +======================= ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -892,7 +893,7 @@ Key Type Options Default Description ``balm_mask_wid`` float .. 10.0 Mask width for Balmer lines in Angstroms. ``extinct_correct`` bool .. True If ``extinct_correct=True`` the code will use an atmospheric extinction model to extinction correct the data below 10000A. Note that this correction makes no sense if one is telluric correcting and this shold be set to False ``extinct_file`` str .. ``closest`` If ``extinct_file='closest'`` the code will select the PypeIt-included extinction file for the closest observatory (within 5 deg, geographic coordinates) to the telescope identified in ``std_file`` (see :ref:`extinction_correction` for the list of currently included files). If constructing a sesitivity function for a telescope not within 5 deg of a listed observatory, this parameter may be set to the name of one of the listed extinction files. Alternatively, a custom extinction file may be installed in the PypeIt cache using the ``pypeit_install_extinctfile`` script; this parameter may then be set to the name of the custom extinction file. -``nresln`` int, float .. 20 Parameter governing the spacing of the bspline breakpoints. +``nresln`` int, float .. 20 Parameter governing the spacing of the bspline breakpoints in terms of number of resolution elements. ``polycorrect`` bool .. True Whether you want to correct the sensfunc with polynomial in the telluric and recombination line regions ``polyfunc`` bool .. False Whether you want to use the polynomial fit as your final SENSFUNC ``resolution`` int, float .. 3000.0 Expected resolution of the standard star spectrum. This should be measured from the data. @@ -925,7 +926,6 @@ Key Type Options Default ``fit_wv_min_max`` list .. .. Pixels within this mask will be used during the fitting. The formatis the same with bal_wv_min_max, but this mask is good pixel masks. ``func`` str .. ``legendre`` Polynomial model function ``lower`` int, float .. 3.0 Lower rejection threshold in units of sigma_corr*sigma, where sigma is the formal noise of the spectrum, and sigma_corr is an empirically determined correction to the formal error. The distribution of input chi (defined by chi = (data - model)/sigma) values is analyzed, and a correction factor to the formal error sigma_corr is returned which is multiplied into the formal errors. In this way, a rejection threshold of i.e. 3-sigma, will always correspond to roughly the same percentile. This renormalization is performed with coadd1d.renormalize_errors function, and guarantees that rejection is not too agressive in cases where the empirical errors determined from the chi-distribution differ significantly from the formal noise which is used to determine chi. -``mask_abs_lines`` bool .. True Mask stellar absorption line? ``mask_lyman_a`` bool .. True Mask the blueward of Lyman-alpha line during the fitting? ``maxiter`` int .. 2 Maximum number of iterations for the telluric + object model fitting. The code performs multiple iterations rejecting outliers at each step. The fit is then performed anew to the remaining good pixels. For this reason if you run with the disp=True option, you will see that the f(x) loss function gets progressively better during the iterations. ``minmax_coeff_bounds`` tuple .. (-5.0, 5.0) Parameters setting the polynomial coefficient bounds for sensfunc optimization.Bounds are currently determined as follows. We compute an initial fit to the sensfunc in the pypeit.core.telluric.init_sensfunc_model function. That deterines a set of coefficients. The bounds are then determined according to: [(np.fmin(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][0], obj_params['minmax_coeff_bounds'][0]), np.fmax(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][1],obj_params['minmax_coeff_bounds'][1]))] From 5cc62f39f7ea5521a522253a972f835c3afe2a30 Mon Sep 17 00:00:00 2001 From: deborape Date: Thu, 23 Mar 2023 15:37:43 -1000 Subject: [PATCH 097/308] better parsing of nires dither positions --- pypeit/spectrographs/keck_nires.py | 112 +++++++++++++++++------------ 1 file changed, 68 insertions(+), 44 deletions(-) diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 9abdd41d69..6c942e4f4a 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -163,9 +163,37 @@ def init_meta(self): # Dithering self.meta['dithpat'] = dict(ext=0, card='DPATNAME') - self.meta['dithpos'] = dict(ext=0, card='DPATIPOS') + self.meta['dithpos'] = dict(card=None, compound=True) self.meta['dithoff'] = dict(ext=0, card='YOFFSET') + def compound_meta(self, headarr, meta_key): + """ + Methods to generate metadata requiring interpretation of the header + data, instead of simply reading the value of a header card. + + Args: + headarr (:obj:`list`): + List of `astropy.io.fits.Header`_ objects. + meta_key (:obj:`str`): + Metadata keyword to construct. + + Returns: + object: Metadata value read from the header(s). + """ + if meta_key == 'dithpos': + # the dither positions in NIRES are expressed in numbers 1,2,3,4. + # We want to convert those into A,B,C. We need to know the dither pattern to do so. + dpat = headarr[0].get('DPATNAME') + dpos = headarr[0].get('DPATIPOS') + if dpos is not None and ((dpos in [1, 2, 3, 4] and dpat in ["ABBA", "ABBAprime", "ABAB"]) or + (dpos in [1, 2, 3] and dpat == 'ABC') or + (dpos in [1, 2] and dpat == 'ABpat')): + return dpat[dpos-1] + else: + return None + else: + msgs.error("Not ready for this compound meta") + def configuration_keys(self): """ Return the metadata keys that define a unique instrument @@ -202,7 +230,6 @@ def get_comb_group(self, fitstbl): comb_id and bkg_id will not assigned if: - dither offset is zero for every frames of a dither sequence - - a dither position within a specific dither sequence is missing - dither pattern recorded in the header is NONE or MANUAL, or is none of the above patterns. Args: @@ -277,12 +304,12 @@ def get_comb_group(self, fitstbl): # get default combid and bkgid combid = np.copy(fitstbl['comb_id'][dpat_idx].data) bkgid = np.copy(fitstbl['bkg_id'][dpat_idx].data) - dpos = fitstbl[dpat_idx]['dithpos'] + dpos = fitstbl[dpat_idx]['dithpos'].data if dpat == "ABAB": # find the starting index of the ABAB sequence - dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2") & - (np.roll(dpos, -2) == "3") & (np.roll(dpos, -3) == "4"))[0] + dpos_idx = np.where((dpos == "A") & (np.roll(dpos, -1) == "B") & + (np.roll(dpos, -2) == "A") & (np.roll(dpos, -3) == "B"))[0] for i in dpos_idx: # make sure that that dither offsets are correct if i < len(dpos) - 3 and doff[i] == doff[i+2] and doff[i+1] == doff[i+3]: @@ -295,8 +322,8 @@ def get_comb_group(self, fitstbl): elif dpat in ["ABBA", "ABBAprime"]: # find the starting index of the ABBA sequence - dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2") & - (np.roll(dpos, -2) == "3") & (np.roll(dpos, -3) == "4"))[0] + dpos_idx = np.where((dpos == "A") & (np.roll(dpos, -1) == "B") & + (np.roll(dpos, -2) == "B") & (np.roll(dpos, -3) == "A"))[0] for i in dpos_idx: # make sure that that dither offsets are correct if i < len(dpos) - 3 and doff[i] == doff[i+3] and doff[i+1] == doff[i+2]: @@ -308,8 +335,8 @@ def get_comb_group(self, fitstbl): bkgid[i+3] = bkgid[i] elif dpat == "ABpat": - # find the starting index of the AB sequence - dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2"))[0] + # find the starting index of the ABpat sequence + dpos_idx = np.where((dpos == "A") & (np.roll(dpos, -1) == "B"))[0] for i in dpos_idx: # exclude when np.roll counts the 1st element of dpos to be in a # sequence with the last element @@ -319,42 +346,37 @@ def get_comb_group(self, fitstbl): elif dpat == "ABC": # find the starting index of the ABC sequence - dpos_idx = np.where((dpos == "1") & (np.roll(dpos, -1) == "2") & - (np.roll(dpos, -2) == "3"))[0] + dpos_idx = np.where((dpos == "A") & (np.roll(dpos, -1) == "B") & + (np.roll(dpos, -2) == "C"))[0] for i in dpos_idx: # exclude when np.roll counts the 1st element of dpos to be in a # sequence with the last element if i < len(dpos) - 2: bkgid[i] = combid[i+1] bkgid[i+1] = combid[i+2] - bkgid[i+2] = bkgid[i+1] - - # # assign bkgid for files that are part of an incomplete sequence - # # but have regular dither positions - # if np.all([d in ['1','2','3','4'] for d in dpos.value]): - # for i in range(len(fitstbl[dpat_idx])): - # # if A frame doesn't have bkgid assigned - # if bkgid[i] == -1 and \ - # (fitstbl[dpat_idx]['dithpos'][i] == "A" or fitstbl[dpat_idx]['dithpos'][i] == "A'"): - # # find closest (in mjd) B frame to subtract from this A - # if fitstbl[dpat_idx]['dithpos'][i] == "A": - # pos_idx = fitstbl[dpat_idx]['dithpos'] == "B" - # elif fitstbl[dpat_idx]['dithpos'][i] == "A'": - # pos_idx = fitstbl[dpat_idx]['dithpos'] == "B'" - # if np.any(pos_idx): - # close_idx = np.argmin(np.absolute(fitstbl[dpat_idx][pos_idx]['mjd'] - fitstbl[dpat_idx]['mjd'][i])) - # bkgid[i] = combid[pos_idx][close_idx] - # # if B frame doesn't have bkgid assigned - # if bkgid[i] == -1 and \ - # (fitstbl[dpat_idx]['dithpos'][i] == "B" or fitstbl[dpat_idx]['dithpos'][i] == "B'"): - # # find closest (in mjd) A frame to subtract from this B - # if fitstbl[dpat_idx]['dithpos'][i] == "B": - # pos_idx = np.where(fitstbl[dpat_idx]['dithpos'] == "A")[0] - # elif fitstbl[dpat_idx]['dithpos'][i] == "B'": - # pos_idx = np.where(fitstbl[dpat_idx]['dithpos'] == "A'")[0] - # if np.any(pos_idx): - # close_idx = np.argmin(np.absolute(fitstbl[dpat_idx][pos_idx]['mjd'] - fitstbl[dpat_idx]['mjd'][i])) - # bkgid[i] = combid[pos_idx][close_idx] + bkgid[i+2] = combid[i+1] + + # assign bkgid for files that are part of an incomplete sequence + for i in range(len(fitstbl[dpat_idx])): + # initialize pos_idx + pos_idx = None + # if A frame doesn't have bkgid assigned + if bkgid[i] == -1 and (fitstbl[dpat_idx]['dithpos'][i] == "A"): + # find B frames to subtract from this A + pos_idx = fitstbl[dpat_idx]['dithpos'] == "B" + # if B frame doesn't have bkgid assigned + elif bkgid[i] == -1 and (fitstbl[dpat_idx]['dithpos'][i] == "B"): + # find A frames to subtract from this B + pos_idx = fitstbl[dpat_idx]['dithpos'] == "A" + # if C frame doesn't have bkgid assigned + elif bkgid[i] == -1 and (fitstbl[dpat_idx]['dithpos'][i] == "C"): + # find A or B frames to subtract from this C + pos_idx = (fitstbl[dpat_idx]['dithpos'] == "A") | (fitstbl[dpat_idx]['dithpos'] == "B") + # assign bkgid + if pos_idx is not None and np.any(pos_idx): + # pick closest (in mjd) + close_idx = np.argmin(np.absolute(fitstbl[dpat_idx][pos_idx]['mjd'] - fitstbl[dpat_idx]['mjd'][i])) + bkgid[i] = combid[pos_idx][close_idx] fitstbl['bkg_id'][dpat_idx] = bkgid fitstbl['comb_id'][dpat_idx] = combid @@ -399,18 +421,20 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): return np.zeros(len(fitstbl), dtype=bool) if ftype == 'standard': return good_exp & ((fitstbl['idname'] == 'object') | (fitstbl['idname'] == 'Object') | - (fitstbl['idname'] == 'standard') | (fitstbl['idname'] == 'telluric')) + (fitstbl['idname'] == 'standard') | (fitstbl['idname'] == 'telluric')) \ + & (fitstbl['target'] != 'DOME PHLAT') if ftype == 'lampoffflats': return good_exp & ((fitstbl['idname'] == 'dark') | (fitstbl['idname'] == 'Dark')) if ftype in ['pixelflat', 'trace']: - return fitstbl['idname'] == 'domeflat' + return (fitstbl['idname'] == 'domeflat') | (fitstbl['idname'] == 'DomeFlat') if ftype in 'science': - return good_exp & ((fitstbl['idname'] == 'object') | (fitstbl['idname'] == 'Object')) + return good_exp & ((fitstbl['idname'] == 'object') | (fitstbl['idname'] == 'Object')) \ + & (fitstbl['target'] != 'DOME PHLAT') if ftype in ['arc', 'tilt']: - return good_exp & ((fitstbl['idname'] == 'object') | (fitstbl['idname'] == 'Object')) + return good_exp & ((fitstbl['idname'] == 'object') | (fitstbl['idname'] == 'Object')) \ + & (fitstbl['target'] != 'DOME PHLAT') return np.zeros(len(fitstbl), dtype=bool) - def bpm(self, filename, det, shape=None, msbias=None): """ Generate a default bad-pixel mask. From c47f5c001d228c20c0ec3aaeb96bfaf779b8d3bd Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 24 Mar 2023 12:41:33 -0700 Subject: [PATCH 098/308] Add TODO for the Win/py39 fix --- pypeit/tests/tstutils.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index 5817ac76b3..c842432139 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -53,6 +53,9 @@ def data_path(filename): data_dir = pathlib.Path(__file__).parent.absolute().joinpath('files') + # TODO: This really should have the `.resolve()`, but it crashes the + # Windows/python3.9 CI test (only that one). When PypeIt advances + # to python>=3.10, reinstate the last part of the following line: return str(data_dir.joinpath(filename))#.resolve()) From ff226d120faad91177379ef18a864c650ed9b5e4 Mon Sep 17 00:00:00 2001 From: deborape Date: Fri, 24 Mar 2023 12:17:39 -1000 Subject: [PATCH 099/308] some docs --- doc/spectrographs/keck_nires.rst | 21 +++++++++++---------- pypeit/spectrographs/keck_nires.py | 1 + 2 files changed, 12 insertions(+), 10 deletions(-) diff --git a/doc/spectrographs/keck_nires.rst b/doc/spectrographs/keck_nires.rst index cb5d9774c5..886612f570 100644 --- a/doc/spectrographs/keck_nires.rst +++ b/doc/spectrographs/keck_nires.rst @@ -28,16 +28,16 @@ Here is an example of the :ref:`data_block` of the PypeIt file: data read path raw/ filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id - NR.20201128.22795.fits | arc,science,tilt | 25.8722004481703 | -1.77957177216147 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.263841269 | 1.13659692763023 | 300.0 | ABBA | 1 | 5.0 | 49 | 1 | 1 | 2 - NR.20201128.23132.fits | arc,science,tilt | 25.8702924043135 | -1.77752676502195 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.2677371023 | 1.12734707860924 | 300.0 | ABBA | 2 | -5.0 | 50 | 1 | 2 | 1 - NR.20201128.23467.fits | arc,science,tilt | 25.8702636585777 | -1.7775294833213 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.2716109449 | 1.11888914544008 | 300.0 | ABBA | 3 | -5.0 | 51 | 1 | 2 | 1 - NR.20201128.23803.fits | arc,science,tilt | 25.8720347222654 | -1.77964895855717 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.2754992551 | 1.11131755069033 | 300.0 | ABBA | 4 | 5.0 | 52 | 1 | 1 | 2 - NR.20201128.07158.fits | lampoffflats | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0828553894 | 1.41291034446565 | 100.0 | NONE | 4 | 0.0 | 21 | all | -1 | -1 - NR.20201128.07382.fits | lampoffflats | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0854467088 | 1.41291034446565 | 100.0 | NONE | 4 | 0.0 | 22 | all | -1 | -1 - NR.20201128.07496.fits | lampoffflats | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0867630282 | 1.41291034446565 | 100.0 | NONE | 4 | 0.0 | 23 | all | -1 | -1 - NR.20201128.05431.fits | pixelflat,trace | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.062862681 | 1.41291034446565 | 100.0 | NONE | 4 | 0.0 | 11 | all | -1 | -1 - NR.20201128.05549.fits | pixelflat,trace | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0642262227 | 1.41291034446565 | 100.0 | NONE | 4 | 0.0 | 12 | all | -1 | -1 - NR.20201128.05665.fits | pixelflat,trace | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0655779588 | 1.41291034446565 | 100.0 | NONE | 4 | 0.0 | 13 | all | -1 | -1 + NR.20201128.22795.fits | arc,science,tilt | 25.8722004481703 | -1.77957177216147 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.263841269 | 1.13659692763023 | 300.0 | ABBA | A | 5.0 | 49 | 1 | 1 | 2 + NR.20201128.23132.fits | arc,science,tilt | 25.8702924043135 | -1.77752676502195 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.2677371023 | 1.12734707860924 | 300.0 | ABBA | B | -5.0 | 50 | 1 | 2 | 1 + NR.20201128.23467.fits | arc,science,tilt | 25.8702636585777 | -1.7775294833213 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.2716109449 | 1.11888914544008 | 300.0 | ABBA | B | -5.0 | 51 | 1 | 2 | 1 + NR.20201128.23803.fits | arc,science,tilt | 25.8720347222654 | -1.77964895855717 | eris_28 0620 | spec | 0.55 slit | 1,1 | 59181.2754992551 | 1.11131755069033 | 300.0 | ABBA | A | 5.0 | 52 | 1 | 1 | 2 + NR.20201128.07158.fits | lampoffflats | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0828553894 | 1.41291034446565 | 100.0 | NONE | None | 0.0 | 21 | all | -1 | -1 + NR.20201128.07382.fits | lampoffflats | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0854467088 | 1.41291034446565 | 100.0 | NONE | None | 0.0 | 22 | all | -1 | -1 + NR.20201128.07496.fits | lampoffflats | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0867630282 | 1.41291034446565 | 100.0 | NONE | None | 0.0 | 23 | all | -1 | -1 + NR.20201128.05431.fits | pixelflat,trace | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.062862681 | 1.41291034446565 | 100.0 | NONE | None | 0.0 | 11 | all | -1 | -1 + NR.20201128.05549.fits | pixelflat,trace | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0642262227 | 1.41291034446565 | 100.0 | NONE | None | 0.0 | 12 | all | -1 | -1 + NR.20201128.05665.fits | pixelflat,trace | 58.0 | 45.0 | unknown | spec | 0.55 slit | 1,1 | 59181.0655779588 | 1.41291034446565 | 100.0 | NONE | None | 0.0 | 13 | all | -1 | -1 data end ``frametype`` is automatically assigned to each frame using the values of various header keywords, @@ -77,4 +77,5 @@ to the development of PypeIt for use with NIRES data: ../dev/niresframes ../dev/niresconfig + ../tutorials/nires_howto diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 6c942e4f4a..b39eea120b 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -27,6 +27,7 @@ class KeckNIRESSpectrograph(spectrograph.Spectrograph): pypeline = 'Echelle' ech_fixed_format = True supported = True + comment = 'see :doc:`keck_nires`' def get_detector_par(self, det, hdu=None): From 384af81229f4ea3ecd886447bd4c490ae59d4c9e Mon Sep 17 00:00:00 2001 From: deborape Date: Fri, 24 Mar 2023 19:18:06 -1000 Subject: [PATCH 100/308] nires docs --- doc/dev/niresconfig.rst | 63 ++++++++++----- doc/dev/niresframes.rst | 30 +++---- doc/dev/reports.rst | 1 + doc/include/keck_nires_A.pypeit.rst | 17 ++-- doc/include/keck_nires_A_corrected.pypeit.rst | 51 ++++++------ doc/tutorials/nires_howto.rst | 79 +++++++++---------- pypeit/spectrographs/keck_nires.py | 6 +- 7 files changed, 133 insertions(+), 114 deletions(-) diff --git a/doc/dev/niresconfig.rst b/doc/dev/niresconfig.rst index bdc206430b..b305c4546c 100644 --- a/doc/dev/niresconfig.rst +++ b/doc/dev/niresconfig.rst @@ -12,6 +12,7 @@ Version History *Version* *Author* *Date* ``PypeIt`` ========= ================ =========== =========== 1.0 Debora Pelliccia 11 Nov 2022 1.11.1dev +1.1 Debora Pelliccia 24 Mar 2023 1.12.2dev ========= ================ =========== =========== ---- @@ -33,7 +34,7 @@ The instrument configurations are determined by :func:`pypeit.metadata.PypeItMet using a combination of header keys. However, since NIRES has a fixed configuration, the only header key used to identify the desired configuration is ``INSTR``, which corresponds to the PypeIt ``fitstbl`` key ``dispname``. ``INSTR`` can be equal to ``spec`` when NIRES is used in spectroscopy mode, or ``imag`` if it is used in imaging -mode. Therefore, for our purpose of spectroscopic reduction, only one configuration is avalable. +mode. Therefore, for our purpose of spectroscopic reduction, only one configuration is available. NIRES calibration groups -------------------------- @@ -42,13 +43,19 @@ PypeIt uses the concept of a "calibration group" to define a complete set of calibration frames (e.g., arcs, flats) and the science frames to which these calibration frames should be applied. -.. TODO: Confirm why each science frame is given its own calib ID By default, :ref:`pypeit_setup` uses the setup identifier (e.g., A,B,C,D...) to assign frames to a single calibration group. Since NIRES has only one configuration, i.e., ony one setup identifier, all the frames would have the same PypeIt keyword ``calib``. However, since it is likely, during an observing night, to observe different -targets, PypeIt automatically assigns different ``calib`` values to the science/standard NIRES frames of different targets. -Moreover, usually only one set of flat observations are taken for the different targets, therefore PypeIt +targets, PypeIt automatically assigns different ``calib`` values to the NIRES science frames of different targets. +This is done because PypeIt currently only uses OH sky lines in the science frames to perform the wavelength +calibration (instead of using the actual arc frames), therefore having different ``calib`` values for different +targets will allow each target to have its own wavelength calibration. +The standard frames, on the contrary, by default will not be used as arc/tilt frames since they are generally +taken with short exposures (i.e., the sky line may not be bright enough), therefore PypeIt will assign to them +the ``calib`` value of the closest science frames, i.e., they will share the wavelength calibration with the +science frame. +Finally, since usually only one set of flat observations are taken for the different targets, PypeIt automatically sets ``calib = all`` for the flat frames, so that it can use them for the calibration of all the different targets. See :ref:`calibration-groups`. The user can always edit the :ref:`pypeit_file` to assign specific calibration frames to specific science @@ -74,16 +81,19 @@ using the information on the nodding pattern available in the files headers. Spe ``fitstbl`` key Header Key =============== ============ ``dithoff`` ``YOFFSET`` -``dithpat`` ``DPATNAME`` +``dithpat`` no Key ``dithpos`` ``DPATIPOS`` =============== ============ -which are also provided in the :ref:`data_block`. The dither patterns parsed by PypeIt are: -"ABAB", "ABBA", "ABpat", see examples below. +The header key that provides information on the dither positions is ``DPATIPOS``, which defines those as positions +1, 2, 3, or 4 of a given dither pattern (``DPATNAME``). PypeIt, using the information from both +``DPATNAME`` and ``DPATIPOS``, expresses the dither positions (``dithpat``) as A, B, or C frames. +``dithoff``, ``dithpat``, and ``dithpos`` are provided in the :ref:`data_block`. + +The dither patterns parsed by PypeIt are: "ABAB", "ABBA", "ABBAprime", "ABpat", "ABC" see examples below. ``comb_id`` and ``bkg_id`` will not be assigned if: - ``dithoff`` is zero for every frames of a dither sequence; -- a dither position within a specific dither sequence is missing; - ``dithpat`` is NONE or MANUAL, or is none of the above patterns. In these cases, the user should manually input the ``comb_id`` and ``bkg_id`` values. @@ -94,12 +104,12 @@ If the observations were taken with a "ABpat" ``dithpat`` the :ref:`data_block` .. code-block:: console filename | frametype | ... | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id - s181127_0076.fits.gz | arc,science,tilt | ... | ABpat | 1 | 2.5 | 76 | 1 | 57 | 58 - s181127_0077.fits.gz | arc,science,tilt | ... | ABpat | 2 | -2.5 | 77 | 1 | 58 | 57 + s181127_0076.fits.gz | arc,science,tilt | ... | ABpat | A | 2.5 | 76 | 1 | 57 | 58 + s181127_0077.fits.gz | arc,science,tilt | ... | ABpat | B | -2.5 | 77 | 1 | 58 | 57 where the science frames have different ``comb_id`` (i.e., no frames will be combined), while the ``bkg_id`` -for the frame at ``dithpos=1`` is equal to the ``comb_id`` of the frame at ``dithpos=2`` and vice versa. +for the A frame is equal to the ``comb_id`` of the B frame and vice versa. This combination of ``comb_id`` and ``bkg_id`` will create two reduced frames: .. code-block:: ini @@ -107,16 +117,16 @@ This combination of ``comb_id`` and ``bkg_id`` will create two reduced frames: s181127_0076.fits.gz - s181127_0077.fits.gz (A-B) s181127_0077.fits.gz - s181127_0076.fits.gz (B-A) -If the observations were taken with an "ABAB" or "ABBA" ``dithpat``, the frames in the same dither +If the observations were taken with an "ABAB", "ABBA", or "ABBAprime" ``dithpat``, the frames in the same dither sequence will be combined. Here is an example for "ABBA": .. code-block:: console filename | frametype | ... | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id - s181127_0020.fits.gz | arc,science,tilt | ... | ABBA | 1 | 2.5 | 20 | 1 | 5 | 6 - s181127_0021.fits.gz | arc,science,tilt | ... | ABBA | 2 | -2.5 | 21 | 1 | 6 | 5 - s181127_0022.fits.gz | arc,science,tilt | ... | ABBA | 3 | -2.5 | 22 | 1 | 6 | 5 - s181127_0023.fits.gz | arc,science,tilt | ... | ABBA | 4 | 2.5 | 23 | 1 | 5 | 6 + s181127_0020.fits.gz | arc,science,tilt | ... | ABBA | A | 2.5 | 20 | 1 | 5 | 6 + s181127_0021.fits.gz | arc,science,tilt | ... | ABBA | B | -2.5 | 21 | 1 | 6 | 5 + s181127_0022.fits.gz | arc,science,tilt | ... | ABBA | B | -2.5 | 22 | 1 | 6 | 5 + s181127_0023.fits.gz | arc,science,tilt | ... | ABBA | A | 2.5 | 23 | 1 | 5 | 6 This combination of ``comb_id`` and ``bkg_id`` will create two reduced frames: @@ -125,8 +135,25 @@ This combination of ``comb_id`` and ``bkg_id`` will create two reduced frames: s181127_0020.fits.gz+s181127_0023.fits.gz - s181127_0021.fits.gz+s181127_0022.fits.gz (AA-BB) s181127_0021.fits.gz+s181127_0022.fits.gz - s181127_0020.fits.gz+s181127_0023.fits.gz (BB-AA) -.. - TODO: Lastly, if observations were taken with an "ABC" ``dithpat``... +Lastly, if observations were taken with an "ABC" ``dithpat``, where the A frame is taken at the center of the slit +(``dithoff = 0``) while the B and C frames are taken at a +/- offset, the B frames will be used as +background image for the frame taken at the center. Here is an example: + +.. code-block:: console + + filename | frametype | ... | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id +NR.20181126.38930.fits | arc,science,tilt | ... | ABC | A | 0.0 | 31 | 1 | 1 | 2 +NR.20181126.39604.fits | arc,science,tilt | ... | ABC | B | 5.0 | 32 | 1 | 2 | 3 +NR.20181126.40277.fits | arc,science,tilt | ... | ABC | C | -5.0 | 33 | 1 | 3 | 2 + + +This combination of ``comb_id`` and ``bkg_id`` will create three reduced frames: + +.. code-block:: ini + + NR.20181126.38930.fits - NR.20181126.39604.fits (A-B) + NR.20181126.39604.fits - NR.20181126.40277.fits (B-C) + NR.20181126.40277.fits - NR.20181126.39604.fits (C-B) Testing diff --git a/doc/dev/niresframes.rst b/doc/dev/niresframes.rst index fd8bc80fdd..4fc2274e0e 100644 --- a/doc/dev/niresframes.rst +++ b/doc/dev/niresframes.rst @@ -11,8 +11,9 @@ Version History ========= ================ =========== =========== *Version* *Author* *Date* ``PypeIt`` ========= ================ =========== =========== -1.0 Kyle Westfall 9 Aug 2022 1.10.1dev -1.1 Debora Pelliccia 9 Nov 2022 1.11.1dev +1.0 Kyle Westfall 9 Aug 2022 1.10.1dev +1.1 Debora Pelliccia 9 Nov 2022 1.11.1dev +1.2 Debora Pelliccia 24 Mar 2023 1.12.2dev ========= ================ =========== =========== ---- @@ -38,26 +39,25 @@ required for the frame-typing and their associated keyword in the =============== ============ ``idname`` ``OBSTYPE`` ``exptime`` ``ITIME`` +``target`` ``TARGNAME`` =============== ============ The criteria used to select each frame type are as follows: -================ ========================================================== ========= -Frame ``OBSTYPE`` ``ITIME`` -================ ========================================================== ========= -``science`` ``'Object'``, ``'object'`` ``>60s`` -``standard`` ``'Object'``, ``'object'``, ``'standard'``, ``'telluric'`` ``<60s`` -``lampoffflats`` ``'dark'``, ``'Dark'`` Not used -``pixelflat`` ``'domeflat'`` Not used -``trace`` ``'domeflat'`` Not used -``arc`` ``'Object'``, ``'object'`` Not used -``tilt`` ``'Object'``, ``'object'`` Not used -================ ========================================================== ========= +================ ========================================================== =================== ========= +Frame ``OBSTYPE`` ``TARGNAME`` ``ITIME`` +================ ========================================================== =================== ========= +``science`` ``'Object'``, ``'object'`` ``!= 'DOME PHLAT'`` ``>60s`` +``standard`` ``'Object'``, ``'object'``, ``'standard'``, ``'telluric'`` ``!= 'DOME PHLAT'`` ``<60s`` +``lampoffflats`` ``'dark'``, ``'Dark'`` Not use Not used +``pixelflat`` ``'domeflat'`` Not use Not used +``trace`` ``'domeflat'`` Not use Not used +``arc`` ``'Object'``, ``'object'`` ``!= 'DOME PHLAT'`` ``>60s`` +``tilt`` ``'Object'``, ``'object'`` ``!= 'DOME PHLAT'`` ``>60s`` +================ ========================================================== =================== ========= .. note:: - - Frames with type ``bias``, ``dark``, ``illumflat``, and ``pinhole`` are *not* typed. - - By default, the exposure time (``ITIME``) is only used to distinguish between ``science`` and ``standard`` frames; the criteria for ``ITIME`` can be changed using the ``exprng`` parameter diff --git a/doc/dev/reports.rst b/doc/dev/reports.rst index 0dbab601f5..c0e1b5ca13 100644 --- a/doc/dev/reports.rst +++ b/doc/dev/reports.rst @@ -17,6 +17,7 @@ development of ``PypeIt``. slitmask_ids deimosconfig mosfireconfig + niresconfig radec_object deimos_wavecalib add_missing_obj diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 96604bdf52..3b8729dad6 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -17,13 +17,16 @@ data read path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id - s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | 1 | 2.0 | 59 | 1 | 1 | -1 - s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | 2 | -2.0 | 60 | 1 | 2 | -1 - s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | 4 | 0.0 | 67 | 2 | 3 | -1 - s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | 4 | 0.0 | 68 | 2 | 4 | -1 - s190519_0010.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0743023767 | 1.41291034446565 | 100.0 | none | 0 | 0.0 | 10 | all | -1 | -1 - s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | none | 0 | 0.0 | 12 | all | -1 | -1 - s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | none | 0 | 0.0 | 14 | all | -1 | -1 + s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 + s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 + s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 2 | 3 | -1 + s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 2 | 4 | -1 + s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 + s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 + s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 + s190519_0010.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0743023767 | 1.41291034446565 | 100.0 | none | None | 0.0 | 10 | all | -1 | -1 + s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | none | None | 0.0 | 12 | all | -1 | -1 + s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | none | None | 0.0 | 14 | all | -1 | -1 data end diff --git a/doc/include/keck_nires_A_corrected.pypeit.rst b/doc/include/keck_nires_A_corrected.pypeit.rst index aa059b7e7a..daacb7b0ee 100644 --- a/doc/include/keck_nires_A_corrected.pypeit.rst +++ b/doc/include/keck_nires_A_corrected.pypeit.rst @@ -1,40 +1,35 @@ .. code-block:: console - # Auto-generated PypeIt file - # Thu 09 Apr 2020 18:17:28 - + # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev118+g6905096d0 + # UTC 2023-03-25T04:05:16.591 + # User-defined execution parameters - # The stuff below on biases needs to go into the spectrograph file as for X-shooter. [rdx] - spectrograph = keck_nires - + spectrograph = keck_nires + # Setup setup read - Setup A: - --: - binning: 1,1 - dichroic: none - disperser: - angle: none - name: spec - slit: - decker: default - slitlen: none - slitwid: none + Setup A: + dispname: spec setup end - - # Read in the data + + # Data block data read - path RAW - filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | calib | comb_id | bkg_id - s190519_0059.fits | arc,standard,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | default | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | 1 | 1 | 2 - s190519_0060.fits | arc,standard,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | default | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | 1 | 2 | 1 - s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | default | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | 2 | 3 | 4 - s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | default | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | 2 | 4 | 3 - s190519_0010.fits | pixelflat,trace | 58.0 | 45.0 | flat | spec | default | 1,1 | 58622.0743023767 | 1.41291034446565 | 100.0 | all | -1 | -1 - s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | flat | spec | default | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | all | -1 | -1 - s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | flat | spec | default | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | all | -1 | -1 + path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES + filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id + s190519_0059.fits | standard | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 + s190519_0060.fits | standard | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 + s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 2 | 3 | 4 + s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 2 | 4 | 3 + s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 + s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 + s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 + s190519_0010.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0743023767 | 1.41291034446565 | 100.0 | none | None | 0.0 | 10 | all | -1 | -1 + s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | none | None | 0.0 | 12 | all | -1 | -1 + s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | none | None | 0.0 | 14 | all | -1 | -1 data end + + diff --git a/doc/tutorials/nires_howto.rst b/doc/tutorials/nires_howto.rst index 64e1ad0734..fdb27826e9 100644 --- a/doc/tutorials/nires_howto.rst +++ b/doc/tutorials/nires_howto.rst @@ -43,20 +43,24 @@ called ``keck_nires_A.pypeit`` that looks like this: .. include:: ../include/keck_nires_A.pypeit.rst For this example dataset, the details of the default pypeit file are not -correct; see :ref:`here ` for an example where the frame +completely correct; see :ref:`here ` for an example where the frame typing and dither pattern determinations *are* correct by default. The issue with this dataset is that only two pointings in the ABBA pattern for the standard star observations are available, the exposure time of the standard -observations is longer than expected, and the dither pattern of the science -frames are set to MANUAL. All of this means you need to edit the pypeit file to -correct specific errors. The corrections needed are: +observations is longer than expected (and PypeIt set it as science frame), +and the dither pattern of the science frames are set to MANUAL. +PypeIt attempts to assign ``comb_id`` and ``bkg_id`` to the two standard star +pointings, however, you need to edit the pypeit file to +correct the other errors. The corrections needed are: - Set the frametypes for ``s190519_0059.fits`` and ``s190519_0060.fits`` to - ``arc,standard,tilt`` (i.e., change ``science`` to ``standard`` for these - frames). + ``standard`` . - - Set the ``bkg_id`` for the ``standard`` and ``science`` frames; see below + - Assign the same calibration group to the standard and science frames + (i.e., same ``calib`` value). + + - Set the ``bkg_id`` for the ``science`` frames; see below and :ref:`a-b_differencing`. The corrected version looks like this (pulled directly from the :ref:`dev-suite`): @@ -66,27 +70,19 @@ The corrected version looks like this (pulled directly from the :ref:`dev-suite` Use of the standard frame ------------------------- -By setting the science and standard frames to also be ``arc`` and ``tilt`` +By setting the science frames to also be ``arc`` and ``tilt`` frames, we're indicating that the OH sky lines should be used to perform the -wavelength calibration. The wavelength calibration for these two sets of frames -will be performed *independently* because we assign them to different -:ref:`calibration-groups`. However, you can assign them to the same calibration -group, which means that the 2 standard star and 2 science exposures will be -combined into a single "arc/tilt" frame used for the wavelength calibration of -all frames; this is potentially the preferred approach. - -.. TODO: Clear up the above. Should we simply recommend that you combine all - frames into a single calibration group? Does NIRES have any appreciable - flexure? - -The observations of the standard star in this dataset are sufficiently long that -there is good signal in the sky lines that allows for use of the OH lines for -its wavelength calibration. More generally, beware that short exposures may not -allow for this, in which case you should not designate your ``standard`` frames -as also being ``arc,tilt`` frames and you must assign the standard frames to a -calibration group that includes ``arc,tilt`` frames. In this example, that -would mean assigning all 4 science and standard frames to the same calibration -group. +wavelength calibration. Generally the standard star observations are not +sufficiently long to have good signal in the sky lines to perform the +wavelength calibration. This is why, generally, we do not +set the standard frames to be also ``arc`` and ``tilt`` frames, but we use +the wavelength calibration obtained from the science frame (this is why we +give to the standard frames the same ``calib`` value as the science frames). + +We note, however, that in this specific case the observations of the standard star +are sufficiently long to allow for good signal in the sky lines. Therefore, if +desired, you could set the standard frames to be also ``arc`` and ``tilt`` frames. + The main data-reduction script (:ref:`run-pypeit`) does *not* perform the telluric correction; this is done by a separate script. Even if you don't @@ -103,23 +99,21 @@ yield a poorer spectral extraction. Dither sequence --------------- -As stated above, the automated algorithms in :ref:`pypeit_setup` don't correctly -set the dither pattern for this dataset, as handled by the -``comb_id`` and ``bkg_id`` columns. See :ref:`here ` for -an example where the frame typing and dither pattern determinations *are* -correct by default. - In this example dataset, the science object and the standard star are both only -observed at two offset positions. We use the :ref:`pypeit_file` (see the -corrected version above) to indicate this using the ``comb_id`` and ``bkg_id`` -columns, as described by :ref:`a-b_differencing` (specifically, see +observed at two offset positions. Although PypeIt is able to correctly assign +``comb_id`` and ``bkg_id`` for the standard frames (by using the information +on the dither pattern and dither offset), the same is not possible for the +science frames, for which a "MANUAL" dither pattern was used. +We, therefore, edit the :ref:`pypeit_file` (see the +corrected version above) to assign ``comb_id`` and ``bkg_id`` to the science frames +as described by :ref:`a-b_differencing` (specifically, see :ref:`ab-image-differencing`). -By setting ``comb_id=1`` and ``bkg_id=2`` for frame ``s190519_0059.fits``, we -are indicating that this frame should be treated as frame "1" (A) and that frame -"2" (B) should be used as its background. We reverse the values of ``comb_id`` -and ``bkg_id`` for frame ``s190519_0060.fits``, which indicates that this frame -should be treated as frame "2" (B) and that frame "1" (A) should be used as its +By setting ``comb_id=3`` and ``bkg_id=4`` for frame ``s190519_0067.fits``, we +are indicating that this frame should be treated as frame A and that frame +B should be used as its background. We reverse the values of ``comb_id`` +and ``bkg_id`` for frame ``s190519_0068.fits``, which indicates that this frame +should be treated as frame B and that frame A should be used as its background. I.e., the ``comb_id`` column effectively sets the numeric identity of each frame, and the ``bkg_id`` column selects the numeric identity of the frame that should be used as the background image. @@ -294,7 +288,8 @@ PypeIt computes a number of multiplicative corrections to correct the 2D spectral response for pixel-to-pixel detector throughput variations and lower-order spatial and spectral illumination and throughput corrections. We collectively refer to these as flat-field corrections; see :ref:`here -` and :ref:`here `. +` and :ref:`here `. For NIRES observations, flats +with lamps off, if available, are also subtracted. You can inspect the flat-field corrections using the following script: diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index b39eea120b..2915284ec4 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -124,10 +124,8 @@ def default_pypeit_par(cls): # Set the default exposure time ranges for the frame typing par['calibrations']['standardframe']['exprng'] = [None, 60] - # DP: I don't think we need these. Do we? - # par['calibrations']['arcframe']['exprng'] = [100, None] - # par['calibrations']['tiltframe']['exprng'] = [100, None] - # par['calibrations']['darkframe']['exprng'] = [60, None] + par['calibrations']['arcframe']['exprng'] = [61, None] + par['calibrations']['tiltframe']['exprng'] = [61, None] par['scienceframe']['exprng'] = [61, None] # Sensitivity function parameters From 4328802a9490d746f424964b8be66af816e3aaad Mon Sep 17 00:00:00 2001 From: deborape Date: Sat, 25 Mar 2023 12:05:38 -1000 Subject: [PATCH 101/308] remove parse_dither_pattern in pypeit.py --- pypeit/pypeit.py | 12 +++++------- pypeit/specobj.py | 2 +- 2 files changed, 6 insertions(+), 8 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index a07c2d973d..7771fad8a0 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -608,7 +608,6 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): sciImg_list.append(sciImg) objFind_list.append(objFind) - # slitmask stuff if len(calibrated_det) > 0 and self.par['reduce']['slitmask']['assign_obj']: # get object positions from slitmask design and slitmask offsets for all the detectors @@ -616,13 +615,12 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): # Grab platescale with binning bin_spec, bin_spat = parse.parse_binning(self.binning) platescale = np.array([ss.detector.platescale*bin_spat for ss in sciImg_list]) - # get the dither offset if available + # get the dither offset if available and if desired + dither_off = None if self.par['reduce']['slitmask']['use_dither_offset']: - dither = self.spectrograph.parse_dither_pattern( - [self.fitstbl.frame_paths(frames[0])]) - dither_off = dither[2][0] if dither is not None else None - else: - dither_off = None + if 'dithoff' in self.fitstbl.keys(): + dither_off = self.fitstbl['dithoff'][frames[0]] + calib_slits = slittrace.get_maskdef_objpos_offset_alldets( all_specobjs_objfind, calib_slits, spat_flexure, platescale, self.par['calibrations']['slitedges']['det_buffer'], diff --git a/pypeit/specobj.py b/pypeit/specobj.py index 313e485dda..d83ffabc63 100644 --- a/pypeit/specobj.py +++ b/pypeit/specobj.py @@ -177,7 +177,7 @@ class SpecObj(datamodel.DataContainer): 'DEC': dict(otype=float, descr='Declination (J2000) decimal degree'), 'MASKDEF_ID': dict(otype=(int, np.integer), descr='Slitmask definition ID'), 'MASKDEF_OBJNAME': dict(otype=str, descr='Name of the object from the slitmask definition'), - 'MASKDEF_OBJMAG': dict(otype=str, descr='Magnitude of the object from the slitmask definition'), + 'MASKDEF_OBJMAG': dict(otype=float, descr='Magnitude of the object from the slitmask definition'), 'MASKDEF_OBJMAG_BAND': dict(otype=str, descr='Magnitude band of the object from the slitmask ' 'definition'), 'MASKDEF_EXTRACT': dict(otype=bool, descr='Boolean indicating if this is a forced extraction ' From 8f18247c927c85a252ae512635f883844ed4f7fc Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 26 Mar 2023 19:59:02 +0100 Subject: [PATCH 102/308] add fine ff to structure corr --- pypeit/flatfield.py | 12 ++++++++++-- pypeit/spectrographs/keck_kcwi.py | 2 +- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 445028e631..f37a4fd993 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -565,7 +565,7 @@ def run(self, doqa=False, debug=False, show=False): rawflat_orig = self.rawflatimg.image.copy() # TODO: Should this be *any* flag, or just BPM? gpm = self.rawflatimg.select_flag(flag='BPM', invert=True) - niter = 1 + niter = 2 # Need two iterations, particularly for the fine spatial illumination correction. for ff in range(niter): # Just get the spatial and spectral profiles for now self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) @@ -1435,12 +1435,20 @@ def extract_structure(self, rawflat_orig): msgs.info("Extracting flatfield structure") # Build the mask and make a temporary instance of FlatImages bpmflats = self.build_mask() + # Initialise bad splines (for when the fit goes wrong) + if self.list_of_spat_bsplines is None: + self.list_of_spat_bsplines = [bspline.bspline(None) for all in self.slits.spat_id] + if self.list_of_finecorr_fits is None: + self.list_of_finecorr_fits = [fitting.PypeItFit(None) for all in self.slits.spat_id] + # Generate a dummy FlatImages tmp_flats = FlatImages(illumflat_raw=self.rawflatimg.image, illumflat_spat_bsplines=np.asarray(self.list_of_spat_bsplines), + illumflat_finecorr=np.asarray(self.list_of_finecorr_fits), illumflat_bpm=bpmflats, PYP_SPEC=self.spectrograph.name, spat_id=self.slits.spat_id) # Divide by the spatial profile - spat_illum = tmp_flats.fit2illumflat(self.slits, frametype='pixel') + spat_illum = tmp_flats.fit2illumflat(self.slits, frametype='illum', finecorr=False) + spat_illum *= tmp_flats.fit2illumflat(self.slits, frametype='illum', finecorr=True) rawflat = rawflat_orig * utils.inverse(spat_illum) # Now fit the spectral profile # TODO: Should this be *any* flag, or just BPM? diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index e02b42a79b..f368d02ced 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -986,7 +986,7 @@ def sinfunc2d(x, amp, scl, phase, wavelength, angle): p0 = [amp, scale, phase, wavelength, angle] popt, pcov = curve_fit(sinfunc2d, (xx[gpmask], yy[gpmask]), det_resp[gpmask], p0=p0) # TODO :: REMOVE THIS CODE BEFORE MERGING THE PR!! - debug = True + debug = False if debug: embed() mmm = sinfunc2d((xx, yy), *popt) From dc60b7d931184882b4a22879d588628eb00c318f Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 26 Mar 2023 21:24:23 +0100 Subject: [PATCH 103/308] det struct QA --- pypeit/core/qa.py | 2 ++ pypeit/flatfield.py | 71 ++++++++++++++++++++++++++++++++++++++++++--- 2 files changed, 69 insertions(+), 4 deletions(-) diff --git a/pypeit/core/qa.py b/pypeit/core/qa.py index 3b5694f339..8dbcd202d9 100644 --- a/pypeit/core/qa.py +++ b/pypeit/core/qa.py @@ -84,6 +84,8 @@ def set_qa_filename(root, method, det=None, slit=None, prefix=None, out_dir=None outfile = 'PNGs/{:s}_S{:04d}_spec_flex_sky.png'.format(root, slit) elif method == 'spatillum_finecorr': outfile = 'PNGs/{:s}_S{:04d}_spatillum_finecorr.png'.format(root, slit) + elif method == 'detector_structure': + outfile = 'PNGs/{:s}_{:s}_detector_structure.png'.format(root, det) else: raise IOError("NOT READY FOR THIS QA: {:s}".format(method)) # Return diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index f37a4fd993..7140763d40 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -567,9 +567,9 @@ def run(self, doqa=False, debug=False, show=False): gpm = self.rawflatimg.select_flag(flag='BPM', invert=True) niter = 2 # Need two iterations, particularly for the fine spatial illumination correction. for ff in range(niter): + msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) # Just get the spatial and spectral profiles for now self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) - msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) # Extract a detector response image det_resp = self.extract_structure(rawflat_orig) gpmask = (self.waveimg != 0.0) & gpm @@ -577,6 +577,11 @@ def run(self, doqa=False, debug=False, show=False): det_resp_model = self.spectrograph.fit_2d_det_response(det_resp, gpmask) # Apply this model self.rawflatimg.image = rawflat_orig * utils.inverse(det_resp_model) + if doqa: + # TODO :: Probably need to pass in det eventually... + outfile = qa.set_qa_filename("DetectorStructure_" + self.master_key, 'detector_structure', + det=None, out_dir=self.qa_path) + detector_structure_qa(det_resp, det_resp_model, outfile=outfile) # Perform a final 2D fit with the cleaned image self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) # fold in the spectrograph specific flatfield, and reset the rawimg @@ -1559,11 +1564,12 @@ def spatillum_finecorr_qa(normed, finecorr, left, right, ypos, cut, outfile=None xmn, xmx, ymn, ymx = np.min(cut[0]), 1+np.max(cut[0]), np.min(cut[1]), 1+np.max(cut[1]) norm_cut = normed[xmn:xmx, ymn:ymx] fcor_cut = finecorr[xmn:xmx, ymn:ymx] - vmin, vmax = np.min(fcor_cut), np.max(fcor_cut) + vmin, vmax = max(0.95, np.min(fcor_cut)), min(1.05, np.max(fcor_cut)) # Show maximum corrections of ~5% # Plot - cutrat = 8.5*norm_cut.shape[1]/norm_cut.shape[0] # 11 is the height of the figure on the next line - plt.figure(figsize=(5 + 3.25*cutrat, 8.5)) + fighght = 8.5 + cutrat = fighght*norm_cut.shape[1]/norm_cut.shape[0] + plt.figure(figsize=(5 + 3.25*cutrat, fighght)) plt.clf() # Single panel plot gs = gridspec.GridSpec(1, 5, height_ratios=[1], width_ratios=[4.0, cutrat, cutrat, cutrat, cutrat*0.25]) @@ -1630,6 +1636,63 @@ def spatillum_finecorr_qa(normed, finecorr, left, right, ypos, cut, outfile=None return +def detector_structure_qa(det_resp, det_resp_model, outfile=None, title="Detector Structure Correction"): + """ + Plot the QA for the fine correction fits to the spatial illumination profile + + Parameters + ---------- + det_resp : `numpy.ndarray`_ + Image data showing the detector structure, generated with extract_structure + det_resp_model : `numpy.ndarray`_ + Image containing the structure correction model + outfile : str, optional + Output file name + title : str, optional + A title to be printed on the QA + """ + plt.rcdefaults() + plt.rcParams['font.family'] = 'serif' + msgs.info("Generating QA for flat field structure correction") + vmin, vmax = np.min(det_resp_model), np.max(det_resp_model) + + # Plot + fighght = 8.5 + plt.figure(figsize=(3*fighght, fighght)) + plt.clf() + # Single panel plot + gs = gridspec.GridSpec(1, 3) + ax_data = plt.subplot(gs[0]) + ax_data.imshow(det_resp, vmin=vmin, vmax=vmax) + ax_data.set_xlabel("data", fontsize='small') + ax_data.axis('off') + ax_modl = plt.subplot(gs[1]) + ax_modl.imshow(det_resp_model, vmin=vmin, vmax=vmax) + ax_modl.set_title(title, fontsize='small') + ax_modl.set_xlabel("model") + ax_modl.axis('off') + ax_resd = plt.subplot(gs[3]) + ax_resd.imshow(det_resp-det_resp_model, vmin=vmin-1, vmax=vmax-1) + ax_resd.set_xlabel("data-model", fontsize='small') + ax_resd.axis('off') + # Add a colorbar + # cax = plt.subplot(gs[4]) + # cbar = plt.colorbar(im, cax=cax) # , fraction=0.046, pad=0.04) + # cbar.set_label('Percentage deviation', rotation=270, labelpad=10) + # Finish + plt.tight_layout(pad=0.2, h_pad=0.0, w_pad=0.0) + plt.subplots_adjust(wspace=0.03, hspace=0, left=0.12, right=0.9, bottom=0.05, top=0.94) + if outfile is None: + plt.show() + else: + plt.savefig(outfile, dpi=400) + msgs.info("Saved QA:" + msgs.newline() + outfile) + + plt.close() + plt.rcdefaults() + return + + def show_flats(image_list, wcs_match=True, slits=None, waveimg=None): """ Interface to ginga to show a set of flat images From e2b3d2d963b977e58d94aacb3cca2598873101a7 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 26 Mar 2023 21:54:41 +0100 Subject: [PATCH 104/308] det struct QA --- pypeit/flatfield.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 7140763d40..749deac264 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -580,7 +580,7 @@ def run(self, doqa=False, debug=False, show=False): if doqa: # TODO :: Probably need to pass in det eventually... outfile = qa.set_qa_filename("DetectorStructure_" + self.master_key, 'detector_structure', - det=None, out_dir=self.qa_path) + det="DET01", out_dir=self.qa_path) detector_structure_qa(det_resp, det_resp_model, outfile=outfile) # Perform a final 2D fit with the cleaned image self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) @@ -1664,16 +1664,16 @@ def detector_structure_qa(det_resp, det_resp_model, outfile=None, title="Detecto gs = gridspec.GridSpec(1, 3) ax_data = plt.subplot(gs[0]) ax_data.imshow(det_resp, vmin=vmin, vmax=vmax) - ax_data.set_xlabel("data", fontsize='small') + ax_data.set_xlabel("data", fontsize='medium') ax_data.axis('off') ax_modl = plt.subplot(gs[1]) ax_modl.imshow(det_resp_model, vmin=vmin, vmax=vmax) - ax_modl.set_title(title, fontsize='small') - ax_modl.set_xlabel("model") + ax_modl.set_title(title, fontsize='medium') + ax_modl.set_xlabel("model", fontsize='medium') ax_modl.axis('off') - ax_resd = plt.subplot(gs[3]) + ax_resd = plt.subplot(gs[2]) ax_resd.imshow(det_resp-det_resp_model, vmin=vmin-1, vmax=vmax-1) - ax_resd.set_xlabel("data-model", fontsize='small') + ax_resd.set_xlabel("data-model", fontsize='medium') ax_resd.axis('off') # Add a colorbar # cax = plt.subplot(gs[4]) From 7f446c13152fcd4a5d25607c75def981c3b77423 Mon Sep 17 00:00:00 2001 From: profxj Date: Mon, 27 Mar 2023 09:07:05 -0700 Subject: [PATCH 105/308] wip --- pypeit/scripts/ql.py | 61 +++++++++++++------------ pypeit/spectrographs/keck_mosfire.py | 66 ++++++++++++++-------------- pypeit/spectrographs/spectrograph.py | 54 +++++++++++------------ pypeit/spectrographs/vlt_fors.py | 1 + 4 files changed, 93 insertions(+), 89 deletions(-) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 75d0ed31dc..04a8c98a49 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -30,6 +30,7 @@ import configobj from astropy.io import fits +import astropy from pypeit import utils from pypeit import masterframe @@ -113,7 +114,6 @@ def generate_sci_pypeitfile(redux_path:str, maskID (str, optional): Mask ID to isolate for QL. Defaults to None. boxcar_radius (float, optional): Boxcar radius for extraction. In units of arcsec. Defaults to None. - dither_id (np.ndarray, optional): Dither ID for each science frame. bkg_redux (bool, optional): Setup for A-B subtraction. Defaults to False. stack (bool, optional): Stack the science frames. Defaults to True. @@ -210,19 +210,20 @@ def generate_sci_pypeitfile(redux_path:str, # A-B? # TODO -- Remove this if we can replace with spectrograph.get_comb_group() - if bkg_redux: - new_comb = np.zeros_like(ps_sci.fitstbl['comb_id'], dtype=int) - new_bkg = np.zeros_like(ps_sci.fitstbl['bkg_id'], dtype=int) - As = dither_id == 'A' - Bs = dither_id == 'B' - # Set - new_comb[As] = 1 - new_comb[Bs] = 2 - new_bkg[As] = 2 - new_bkg[Bs] = 1 - # Finish - ps_sci.fitstbl['comb_id'] = new_comb - ps_sci.fitstbl['bkg_id'] = new_bkg + #if bkg_redux: + # new_comb = np.zeros_like(ps_sci.fitstbl['comb_id'], dtype=int) + # new_bkg = np.zeros_like(ps_sci.fitstbl['bkg_id'], dtype=int) + # As = dither_id == 'A' + # Bs = dither_id == 'B' + # # Set + # new_comb[As] = 1 + # new_comb[Bs] = 2 + # new_bkg[As] = 2 + # new_bkg[Bs] = 1 + # # Finish + # ps_sci.fitstbl['comb_id'] = new_comb + # ps_sci.fitstbl['bkg_id'] = new_bkg + embed(header='226 of ql') # Generate pypeitFile = inputfiles.PypeItFile( @@ -388,23 +389,19 @@ def main(args): if args.bkg_redux: sci_files = np.array(files)[sci_idx] # TODO -- Remove this if we can replace with spectrograph.get_comb_group() - dither_pattern, dither_id, offset_arcsec = \ - ps.spectrograph.parse_dither_pattern(sci_files) - # TODO -- Add a check here that we have A and B + #dither_pattern, dither_id, offset_arcsec = \ + # ps.spectrograph.parse_dither_pattern(sci_files) + # Binning + binspectral, binspatial = parse_binning( + ps.fitstbl['binning'][sci_idx][0]) + # Plate scale _det = parse_det(args.det if args.det is not None else '1', ps.spectrograph) det_container = ps.spectrograph.get_detector_par( _det, hdu=fits.open(files[0])) - binspectral, binspatial = parse_binning( - det_container['binning']) platescale = det_container['platescale']*binspatial - target = ps.spectrograph.get_meta_value(sci_files[0], 'target') - print_offset_report(sci_files, dither_pattern, dither_id, - offset_arcsec, target, platescale) - else: - dither_pattern = None - dither_id = None - offset_arcsec = None + # Report + print_offset_report(sci_files, ps.fitstbl[sci_idx], platescale) # Generate science setup object full_scifiles = [os.path.join(dir_path, sci_file) for dir_path, sci_file in zip( @@ -446,7 +443,6 @@ def main(args): det=args.det, boxcar_radius=args.boxcar_radius, bkg_redux=args.bkg_redux, - dither_id=dither_id, stack=args.stack) # Run it @@ -458,9 +454,16 @@ def main(args): pypeIt.build_qa() msgs.info(f'Quicklook completed in {utils.get_time_string(time.perf_counter()-tstart)} seconds') -def print_offset_report(files:list, dither_pattern:np.array, dither_id:np.array, - offset_arcsec:np.array, target:str, platescale:float): +def print_offset_report(files:list, fitstbl:astropy.table.Table, + platescale:float): + + # Parse + offset_arcsec = fitstbl['dithoff'].data + dither_pattern = fitstbl['dithpat'].data + dither_id = fitstbl['dithpos'].data + target = fitstbl['target'].data[0] + # Proceed if len(np.unique(dither_pattern)) > 1: msgs.error('Script only supported for a single type of dither pattern.') A_files = files[dither_id == 'A'] diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index f05667c97f..7af41ce881 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -682,39 +682,39 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) - def parse_dither_pattern(self, file_list, ext=None): - """ - Parse headers from a file list to determine the dither pattern. - - Parameters - ---------- - file_list (list of strings): - List of files for which dither pattern is desired - ext (int, optional): - Extension containing the relevant header for these files. Default=None. If None, code uses - self.primary_hdrext - - Returns - ------- - dither_pattern, dither_id, offset_arcsec - - dither_pattern (str `numpy.ndarray`_): - Array of dither pattern names - dither_id (str `numpy.ndarray`_): - Array of dither pattern IDs - offset_arc (float `numpy.ndarray`_): - Array of dither pattern offsets - """ - nfiles = len(file_list) - offset_arcsec = np.zeros(nfiles) - dither_pattern = [] - dither_id = [] - for ifile, file in enumerate(file_list): - hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) - dither_pattern.append(hdr['PATTERN']) - dither_id.append(hdr['FRAMEID']) - offset_arcsec[ifile] = hdr['YOFFSET'] - return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) +# def parse_dither_pattern(self, file_list, ext=None): +# """ +# Parse headers from a file list to determine the dither pattern. +# +# Parameters +# ---------- +# file_list (list of strings): +# List of files for which dither pattern is desired +# ext (int, optional): +# Extension containing the relevant header for these files. Default=None. If None, code uses +# self.primary_hdrext +# +# Returns +# ------- +# dither_pattern, dither_id, offset_arcsec +# +# dither_pattern (str `numpy.ndarray`_): +# Array of dither pattern names +# dither_id (str `numpy.ndarray`_): +# Array of dither pattern IDs +# offset_arc (float `numpy.ndarray`_): +# Array of dither pattern offsets +# """ +# nfiles = len(file_list) +# offset_arcsec = np.zeros(nfiles) +# dither_pattern = [] +# dither_id = [] +# for ifile, file in enumerate(file_list): +# hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) +# dither_pattern.append(hdr['PATTERN']) +# dither_id.append(hdr['FRAMEID']) +# offset_arcsec[ifile] = hdr['YOFFSET'] +# return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table, debug=False): """ diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index db295a143d..4c6ea2ad92 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -414,33 +414,33 @@ def orient_image(self, detector_par, rawimage): - def parse_dither_pattern(self, file_list, ext=None): - """ - Parse headers from a file list to determine the dither pattern. - - Parameters - ---------- - file_list (list of strings): - List of files for which dither pattern is desired - ext (int, optional): - Extension containing the relevant header for these files. Default=None. If None, code uses - self.primary_hdrext - - Returns - ------- - dither_pattern, dither_id, offset_arcsec - - dither_pattern (str `numpy.ndarray`_): - Array of dither pattern names - dither_id (str `numpy.ndarray`_): - Array of dither pattern IDs - offset_arc (float `numpy.ndarray`_): - Array of dither pattern offsets - """ - nfiles = len(file_list) - dummy_str_array = np.array(nfiles*['']) - dummy_id_array = np.array(nfiles*['A']) - return dummy_str_array, dummy_id_array, np.zeros(nfiles) +# def parse_dither_pattern(self, file_list, ext=None): +# """ +# Parse headers from a file list to determine the dither pattern. +# +# Parameters +# ---------- +# file_list (list of strings): +# List of files for which dither pattern is desired +# ext (int, optional): +# Extension containing the relevant header for these files. Default=None. If None, code uses +# self.primary_hdrext +# +# Returns +# ------- +# dither_pattern, dither_id, offset_arcsec +# +# dither_pattern (str `numpy.ndarray`_): +# Array of dither pattern names +# dither_id (str `numpy.ndarray`_): +# Array of dither pattern IDs +# offset_arc (float `numpy.ndarray`_): +# Array of dither pattern offsets +# """ +# nfiles = len(file_list) +# dummy_str_array = np.array(nfiles*['']) +# dummy_id_array = np.array(nfiles*['A']) +# return dummy_str_array, dummy_id_array, np.zeros(nfiles) # TODO: JFH Are these bad pixel masks in the raw frame, or the # flipped/transposed pypeit frame?? KBW: Does the new description of diff --git a/pypeit/spectrographs/vlt_fors.py b/pypeit/spectrographs/vlt_fors.py index 252f76598c..da82a48864 100644 --- a/pypeit/spectrographs/vlt_fors.py +++ b/pypeit/spectrographs/vlt_fors.py @@ -354,6 +354,7 @@ def configuration_keys(self): return ['dispname', 'dispangle', 'decker', 'detector'] + # TODO -- Convert this into get_comb_group() def parse_dither_pattern(self, file_list, ext=None): """ Parse headers from a file list to determine the dither pattern. From fd7dd80baf1e50f8f925e7bf88881c98f97c4f5e Mon Sep 17 00:00:00 2001 From: profxj Date: Mon, 27 Mar 2023 09:07:12 -0700 Subject: [PATCH 106/308] mo --- pypeit/core/wavecal/autoid.py | 32 ++++++++++++++++++++------------ 1 file changed, 20 insertions(+), 12 deletions(-) diff --git a/pypeit/core/wavecal/autoid.py b/pypeit/core/wavecal/autoid.py index 5f4bb05bd6..c1ff5713db 100644 --- a/pypeit/core/wavecal/autoid.py +++ b/pypeit/core/wavecal/autoid.py @@ -747,32 +747,40 @@ def full_template(spec, lamps, par, ok_mask, det, binspectral, nsnippet=2, msgs.info("Processing slit {}".format(slit)) msgs.info("Using sigdetect = {}".format(sigdetect)) # Grab the observed arc spectrum - ispec = spec[:,slit] + obs_spec_i = spec[:,slit] # get FWHM for this slit fwhm = set_fwhm(par, measured_fwhm=measured_fwhms[slit]) # Find the shift ncomb = temp_spec.size # Remove the continuum before adding the padding to ispec - _, _, _, _, ispec_cont_sub = wvutils.arc_lines_from_spec(ispec) - _, _, _, _, tspec_cont_sub = wvutils.arc_lines_from_spec(temp_spec) + _, _, _, _, obs_spec_cont_sub = wvutils.arc_lines_from_spec(obs_spec_i) + _, _, _, _, templ_spec_cont_sub = wvutils.arc_lines_from_spec(temp_spec) # Pad - pspec = np.zeros_like(temp_spec) - nspec = len(ispec) + pad_spec = np.zeros_like(temp_spec) + nspec = len(obs_spec_i) npad = ncomb - nspec if npad > 0: # Pad the input spectrum - pspec[npad // 2:npad // 2 + len(ispec)] = ispec_cont_sub - tspec = tspec_cont_sub + pad_spec[npad // 2:npad // 2 + len(obs_spec_i)] = obs_spec_cont_sub + tspec = templ_spec_cont_sub elif npad < 0: # Pad the template! - pspec = ispec_cont_sub + pspec = obs_spec_cont_sub npad *= -1 tspec = np.zeros(nspec) - tspec[npad // 2:npad // 2 + ncomb] = tspec_cont_sub + tspec[npad // 2:npad // 2 + ncomb] = templ_spec_cont_sub else: # No padding necessary - pspec = ispec_cont_sub - tspec = tspec_cont_sub + pad_spec = ispec_cont_sub + tspec = templ_spec_cont_sub # Cross-correlate - shift_cc, corr_cc = wvutils.xcorr_shift(tspec, pspec, debug=debug, fwhm=fwhm, percent_ceil=x_percentile) + debug = True + debug_xcorr = True + shift_cc, corr_cc = wvutils.xcorr_shift(tspec, pad_spec, debug=debug, fwhm=fwhm, percent_ceil=x_percentile) + success, shift_cc2, stretch, corr_cc2, _, _ = \ + wvutils.xcorr_shift_stretch(tspec, pad_spec, + #cc_thresh=cc_thresh, + fwhm=fwhm, #seed=random_state, + debug=debug_xcorr) + embed(header='776 of autoid') #shift_cc, corr_cc = wvutils.xcorr_shift(temp_spec, pspec, debug=debug, percent_ceil=x_percentile) msgs.info("Shift = {}; cc = {}".format(shift_cc, corr_cc)) if debug: From f9705fbb4e58db3fe6364928372476190ab5b5b4 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 27 Mar 2023 09:32:54 -0700 Subject: [PATCH 107/308] making progress --- pypeit/alignframe.py | 2 +- pypeit/calibframe.py | 21 +++--- pypeit/coadd1d.py | 2 +- pypeit/coadd2d.py | 14 ++-- pypeit/core/datacube.py | 13 ++-- pypeit/core/flexure.py | 27 +++----- pypeit/core/telluric.py | 122 +++++++++++++++++----------------- pypeit/datamodel.py | 14 ++-- pypeit/edgetrace.py | 2 + pypeit/images/bitmaskarray.py | 8 +-- pypeit/images/buildimage.py | 3 + pypeit/io.py | 7 +- pypeit/onespec.py | 13 ++-- pypeit/scripts/__init__.py | 3 +- pypeit/scripts/trace_edges.py | 66 +++++++++--------- pypeit/sensfunc.py | 44 ++++++------ pypeit/spec2dobj.py | 10 +-- pypeit/specobj.py | 45 +++++++------ pypeit/tests/test_arcimage.py | 3 +- pypeit/tracepca.py | 7 +- 20 files changed, 201 insertions(+), 225 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index b88d501c26..aa4f54b2af 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -58,7 +58,7 @@ def _validate(self): # NOTE: If you make changes to how this object is bundled into the output # datamodel, make sure you update the documentation in - # doc/calibrations/master_align.rst! + # doc/calibrations/align.rst! def _bundle(self): """ Override the base class method simply to set the HDU extension name. diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index 9f9399aa9d..26e9871e62 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -128,8 +128,7 @@ def copy_calib_keys(self, other): # NOTE: Only need to overload to_file because the only thing special about # CalibFrame is that the paths are pre-defined. - # TODO: Allow the file path to be passed directly to this function? - def to_file(self, file_path=None, **kwargs): + def to_file(self, file_path=None, overwrite=True, **kwargs): """ Overrides the base-class function, forcing the naming convention. @@ -137,10 +136,15 @@ def to_file(self, file_path=None, **kwargs): file_path (:obj:`str`, `Path`_, optional): Full path for the file to be written. This should be used *very* rarely. The whole point of the :class:`CalibFrame` is to - follow a known/rigid I/O naming structure, and use of this + follow a deterministic I/O naming structure, and use of this option circumvents that. You should instead typically use :func:`set_paths` so that the file path is defined automatically. + overwrite (:obj:`bool`, optional): + Flag to overwrite any existing files. This overrides the + default of the base class, meaning that anytime a calibration + frame is written to disk it will overwrite any existing files by + default! **kwargs (optional): Passed directly to :func:`~pypeit.datamodel.DataContainer.to_file`. One of the @@ -155,11 +159,8 @@ def to_file(self, file_path=None, **kwargs): kwargs.pop('hdr') else: hdr = self.build_header() - # TODO: This used to set overwrite=True, but overwrite should be part of - # kwargs. The default of DataContainer is overwrite=False, so I need to - # make sure that the behavior is maintained. - _file_path = self.get_path() if file_path is None else str(Path(file_path).resolve()) - super().to_file(_file_path, hdr=hdr, **kwargs) + _file_path = self.get_path() if file_path is None else Path(file_path).resolve() + super().to_file(_file_path, hdr=hdr, overwrite=overwrite, **kwargs) @classmethod def from_hdu(cls, hdu, chk_version=True, **kwargs): @@ -345,7 +346,7 @@ def construct_file_name(cls, calib_key, calib_dir=None): directory. Returns: - :obj:`str`: File path or file name + :obj:`str`, `Path`_: File path or file name """ if None in [cls.calib_type, cls.calib_file_format]: msgs.error(f'CODING ERROR: {cls.__name__} does not have all ' @@ -356,7 +357,7 @@ def construct_file_name(cls, calib_key, calib_dir=None): filename = f'{cls.calib_type}_{calib_key}.{cls.calib_file_format}' if calib_dir is None: return filename - return str(Path(calib_dir).resolve() / filename) + return Path(calib_dir).resolve() / filename def get_path(self): """ diff --git a/pypeit/coadd1d.py b/pypeit/coadd1d.py index 4689e68819..b040ddc571 100644 --- a/pypeit/coadd1d.py +++ b/pypeit/coadd1d.py @@ -150,7 +150,7 @@ def save(self, coaddfile, telluric=None, obj_model=None, overwrite=True): if obj_model is not None: onespec.obj_model = obj_model[wave_gpm] # Write - onespec.to_file(coaddfile, history = history, overwrite=overwrite) + onespec.to_file(coaddfile, history=history, overwrite=overwrite) def coadd(self): """ diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index fbde3d3eb0..89efe57154 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -498,12 +498,12 @@ def create_pseudo_image(self, coadd_list): maskdef_designtab = vstack([maskdef_designtab, coadd_dict['maskdef_designtab']]) slits_pseudo \ - = slittrace.SlitTraceSet(slit_left, slit_righ, self.pypeline, detname=self.detname, nspat=nspat_pseudo, - PYP_SPEC=self.spectrograph.name, specmin=spec_min1, specmax=spec_max1, - maskdef_id=maskdef_id, maskdef_objpos=maskdef_objpos, maskdef_offset=0., - maskdef_slitcen=maskdef_slitcen, maskdef_designtab=maskdef_designtab) - #master_key=self.stack_dict['master_key_dict']['trace'], - #master_dir=self.master_dir) + = slittrace.SlitTraceSet(slit_left, slit_righ, self.pypeline, detname=self.detname, + nspat=nspat_pseudo, PYP_SPEC=self.spectrograph.name, + specmin=spec_min1, specmax=spec_max1, + maskdef_id=maskdef_id, maskdef_objpos=maskdef_objpos, + maskdef_offset=0., maskdef_slitcen=maskdef_slitcen, + maskdef_designtab=maskdef_designtab) # change value of spat_id in maskdef_designtab # needs to be done here because spat_id is computed in slittrace @@ -797,8 +797,6 @@ def load_coadd2d_stacks(self, spec2d, chk_version=False): dict: Dictionary containing all the images and keys required for perfomring 2d coadds. """ - - # Get the master dir redux_path = os.getcwd() # Grab the files diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index d989af91ff..ea803fbc6c 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -73,6 +73,12 @@ class DataCube(datamodel.DataContainer): 'PYP_SPEC': dict(otype=str, descr='PypeIt: Spectrograph name'), 'fluxed': dict(otype=bool, descr='Boolean indicating if the datacube is fluxed.')} + internals = ['head0', + 'filename', + 'spectrograph', + 'spect_meta' + ] + @classmethod def from_file(cls, ifile): """ @@ -100,12 +106,6 @@ def __init__(self, flux, variance, PYP_SPEC, blaze_wave, blaze_spec, sensfunc=No # Setup the DataContainer datamodel.DataContainer.__init__(self, d=_d) - def _init_internals(self): - self.head0 = None - self.filename = None - self.spectrograph = None - self.spect_meta = None - def _bundle(self): """ Over-write default _bundle() method to separate the DetectorContainer @@ -1123,6 +1123,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Grab the parset, if not provided if parset is None: + # TODO: Use config_specific_par instead? parset = spec.default_pypeit_par() cubepar = parset['reduce']['cube'] flatpar = parset['calibrations']['flatfield'] diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index 4ae133c061..3a01e75992 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -1279,6 +1279,17 @@ class MultiSlitFlexure(DataContainer): 'rms_arc': dict(otype=np.ndarray, atype=np.floating, descr='RMS of fit (ndet, nslits)')} + internals = ['flex_par', # Parameters (FlexurePar) + 'spectrograph', # spectrograph + 'specobjs', # Specobjs object + 'sobj_idx', # (ndet, nslits); Index to specobjs (tuple of arrays) + 'sky_table', # Sky line table + # 2D models + 'pmodel_m', + 'pmodel_b', + 'pmodel_l' + ] + def __init__(self, s1dfile=None, PYP_SPEC=None, nslits=None, det=None, SN=None, slitid=None, mn_wv=None, fit_slope=None, fit_b=None, fit_los=None, objra=None, objdec=None, maskdef_id=None, rms_arc=None, @@ -1297,22 +1308,6 @@ def __init__(self, s1dfile=None, PYP_SPEC=None, nslits=None, det=None, sky_file = 'sky_single_mg.dat' self.sky_table = ascii.read(os.path.join(data.Paths.sky_spec, sky_file)) - def _init_internals(self): - # Parameters (FlexurePar) - self.flex_par = None - # spectrograph - self.spectrograph = None - # Specobjs object - self.specobjs = None - # Index to specobjs (tuple of arrays) - self.sobj_idx = None # (ndet, nslits) - # Sky line table - self.sky_table = None - # 2D models - self.pmodel_m = None - self.pmodel_b = None - self.pmodel_l = None - # NOTE: If you make changes to how this object is bundled into the output # datamodel, make sure you update the documentation in # doc/calibrations/flexure.rst! diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index 437b335fa3..9e5e3380ef 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -2088,6 +2088,66 @@ class Telluric(datamodel.DataContainer): 'model': dict(otype=table.Table, descr='Table with the best-fitting model data')} """DataContainer datamodel.""" + internals = ['obj_params', + 'init_obj_model', + 'airmass_guess', + 'eval_obj_model', + 'ech_orders', + 'sn_clip', + 'resln_frac_bounds', + 'pix_shift_bounds', + 'pix_stretch_bounds', + 'maxiter', + 'sticky', + 'lower', + 'upper', + 'seed', + 'rng', + 'ballsize', + 'diff_evol_maxiter', + 'disp', + 'sensfunc', + 'debug', + + 'wave_in_arr', + 'flux_in_arr', + 'ivar_in_arr', + 'mask_in_arr', + 'nspec_in', + 'norders', + + 'tell_dict', + + 'wave_grid', + 'ngrid', + 'resln_guess', + + 'tell_guess', + 'bounds_tell', + + 'flux_arr', + 'ivar_arr', + 'mask_arr', + 'wave_mask_arr', + + 'ind_lower', + 'ind_upper', + 'srt_order_tell', + + 'obj_dict_list', + 'bounds_obj_list', + 'bounds_list', + 'arg_dict_list', + 'max_ntheta_obj', + + 'result_list', + 'outmask_list', + 'obj_model_list', + 'tellmodel_list', + 'theta_obj_list', + 'theta_tell_list', + ] + @staticmethod def empty_model_table(norders, nspec, n_obj_par=0): """ @@ -2275,68 +2335,6 @@ def __init__(self, wave, flux, ivar, gpm, telgridfile, obj_params, init_obj_mode # 6) Initalize the output tables self.init_output() - def _init_internals(self): - """Add any attributes that are *not* part of the datamodel.""" - - self.obj_params = None - self.init_obj_model = None - self.airmass_guess = None - self.eval_obj_model = None - self.ech_orders = None - self.sn_clip = None - self.resln_frac_bounds = None - self.pix_shift_bounds = None - self.pix_stretch_bounds = None - self.maxiter = None - self.sticky = None - self.lower = None - self.upper = None - self.seed = None - self.rng = None - self.ballsize= None - self.diff_evol_maxiter = None - self.disp = None - self.sensfunc = None - self.debug = None - - self.wave_in_arr = None - self.flux_in_arr = None - self.ivar_in_arr = None - self.mask_in_arr = None - self.nspec_in = None - self.norders = None - - self.tell_dict = None - - self.wave_grid = None - self.ngrid = None - self.resln_guess = None - - self.tell_guess = None - self.bounds_tell = None - - self.flux_arr = None - self.ivar_arr = None - self.mask_arr = None - self.wave_mask_arr = None - - self.ind_lower = None - self.ind_upper = None - self.srt_order_tell = None - - self.obj_dict_list = None - self.bounds_obj_list = None - self.bounds_list = None - self.arg_dict_list = None - self.max_ntheta_obj = None - - self.result_list = None - self.outmask_list = None - self.obj_model_list = None - self.tellmodel_list = None - self.theta_obj_list = None - self.theta_tell_list = None - def run(self, only_orders=None): """ Loops over orders/slits, runs the telluric correction, and evaluates the diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index d03468bd20..e751a51953 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -1294,7 +1294,6 @@ def valid_write_to_hdu_type(obj): # or a normal list? # NOTE: This function should *not* include **kwargs. def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, - #limit_hdus=None, force_to_bintbl=False, hdu_prefix=None): """ Construct one or more HDU extensions with the data. @@ -1330,8 +1329,6 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, are identical. primary_hdr (`astropy.io.fits.Header`, optional): Header to add to the primary if add_primary=True - limit_hdus (:obj:`list`, optional): - Limit the HDUs that can be written to the items in this list force_to_bintbl (:obj:`bool`, optional): Force construction of a `astropy.io.fits.BinTableHDU`_ instead of an `astropy.io.fits.ImageHDU`_ when either there are no @@ -1402,9 +1399,6 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, for ihdu in hdu: ihdu.name = f'{_hdu_prefix}{ihdu.name}' # Limit? - # TODO: Change this to always use self.output_to_disk? -# if limit_hdus: -# hdu = [h for h in hdu if h.name in limit_hdus] if self.output_to_disk is not None: hdu = [h for h in hdu if h.name in self.output_to_disk] @@ -1524,14 +1518,14 @@ def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): Raised if the specified file does not exist. """ _ifile = Path(ifile).resolve() - if not ifile.exists(): - raise FileNotFoundError(f'{ifile} does not exist!') + if not _ifile.exists(): + raise FileNotFoundError(f'{_ifile} does not exist!') if verbose: - msgs.info(f'Loading {cls.__name__} from {ifile}') + msgs.info(f'Loading {cls.__name__} from {_ifile}') # Do it - with io.fits_open(str(ifile)) as hdu: + with io.fits_open(_ifile) as hdu: return cls.from_hdu(hdu, chk_version=chk_version, **kwargs) # obj = cls.from_hdu(hdu, chk_version=chk_version, **kwargs) diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index 96ba212f1f..1ee07e6d3d 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -4985,4 +4985,6 @@ def get_slits(self): # Copy the CalibFrame internals (also identical to the self.traceimg internals) slits.copy_calib_keys(self) + return slits + diff --git a/pypeit/images/bitmaskarray.py b/pypeit/images/bitmaskarray.py index 3e72f4736a..ee8ba13b76 100644 --- a/pypeit/images/bitmaskarray.py +++ b/pypeit/images/bitmaskarray.py @@ -45,6 +45,8 @@ class BitMaskArray(DataContainer): Datamodel is simple, containing only the mask array. """ + internals = ['lower_keys'] + bitmask = None """ :class:`~pypeit.bitmask.BitMask` object used to interpret the bit array. @@ -133,12 +135,6 @@ def __and__(self, other): _self.mask &= other.mask return _self - def _init_internals(self): - """ - Initialize attributes that are not part of the datamodel. - """ - self.lower_keys = None - # TODO: This loses the description of the bits. Might be better to override # to_hdu; although this gets sticky trying to figure out which hdu has the # mask... Leaving it this way for now. diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index afaafc464f..876f8a28cc 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -93,6 +93,9 @@ class TraceImage(pypeitimage.PypeItCalibrationImage): output_to_disk = ('TRACE_IMAGE', 'TRACE_FULLMASK', 'TRACE_DETECTOR') hdu_prefix = 'TRACE_' + # Calibration type + calib_type = 'Trace' + # # TODO: This is a hack to limit the arrays written to the MasterEdges object # # to just the selection above. The reason this doesn't work like the other # # master images above is because the `to_master_file` function is not used diff --git a/pypeit/io.py b/pypeit/io.py index f41a3cb207..d734ed1520 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -230,8 +230,7 @@ def remove_suffix(file): """ _file = Path(file) - return (_file.with_suffix('')).with_suffix('').name \ - if _file.suffix == '.gz' else _file.with_suffix('').name + return (_file.with_suffix('')).stem if _file.suffix == '.gz' else _file.stem def parse_hdr_key_group(hdr, prefix='F'): """ @@ -766,7 +765,7 @@ def fits_open(filename, **kwargs): bytes. Args: - filename (:obj:`str`): + filename (:obj:`str`, `Path`_): File name for the fits file to open. **kwargs: Passed directly to `astropy.io.fits.open`_. @@ -782,7 +781,7 @@ def fits_open(filename, **kwargs): # string before checking that it exists. There should be a more robust way # to do this! Is there are more appropriate os.path function that allows # for this different type of object? - if isinstance(filename, str) and not os.path.isfile(filename): + if isinstance(filename, str) and not Path(filename).resolve().exists(): msgs.error(f'{filename} does not exist!') try: return fits.open(filename, **kwargs) diff --git a/pypeit/onespec.py b/pypeit/onespec.py index 8a1499b406..f01b3233d2 100644 --- a/pypeit/onespec.py +++ b/pypeit/onespec.py @@ -76,6 +76,12 @@ class OneSpec(datamodel.DataContainer): # the datamodel? 'spect_meta': dict(otype=dict, descr='header dict')} + internals = ['head0', + 'filename', + 'spectrograph', + 'spect_meta', + 'history'] + @classmethod def from_file(cls, ifile): """ @@ -121,13 +127,6 @@ def sig(self): """ return np.sqrt(utils.inverse(self.ivar)) - def _init_internals(self): - self.head0 = None - self.filename = None - self.spectrograph = None - self.spect_meta = None - self.history = [] - def to_file(self, ofile, primary_hdr=None, history=None, **kwargs): """ Over-load :func:`pypeit.datamodel.DataContainer.to_file` diff --git a/pypeit/scripts/__init__.py b/pypeit/scripts/__init__.py index fb94db25c3..2668b2d4aa 100644 --- a/pypeit/scripts/__init__.py +++ b/pypeit/scripts/__init__.py @@ -22,12 +22,11 @@ from pypeit.scripts import identify from pypeit.scripts import install_extinctfile from pypeit.scripts import install_linelist -from pypeit.scripts import install_ql_masters +from pypeit.scripts import install_ql_calibs from pypeit.scripts import install_telluric from pypeit.scripts import lowrdx_skyspec from pypeit.scripts import multislit_flexure from pypeit.scripts import obslog -from pypeit.scripts import parse_calib_id from pypeit.scripts import parse_slits from pypeit.scripts import qa_html from pypeit.scripts import ql diff --git a/pypeit/scripts/trace_edges.py b/pypeit/scripts/trace_edges.py index 325da60397..3c7951e4ce 100644 --- a/pypeit/scripts/trace_edges.py +++ b/pypeit/scripts/trace_edges.py @@ -36,12 +36,11 @@ def get_parser(cls, width=None): parser.add_argument('-b', '--binning', default=None, type=str, help='Image binning in spectral and spatial directions. Only used if ' 'providing files directly; default is 1,1.') - parser.add_argument('-p', '--redux_path', default=None, - help='Path to top-level output directory. ' - 'Default is the current working directory.') - parser.add_argument('-m', '--master_dir', default='Masters', - help='Name for directory in output path for Master file(s) relative ' - 'to the top-level directory.') + parser.add_argument('-p', '--redux_path', type=str, default='current working directory', + help='Path to top-level output directory.') + parser.add_argument('-c', '--calib_dir', default='Calibrations', + help='Name for directory in output path for calibration file(s) ' + 'relative to the top-level directory.') parser.add_argument('-o', '--overwrite', default=False, action='store_true', help='Overwrite any existing files/directories') @@ -59,6 +58,7 @@ def get_parser(cls, width=None): def main(args): import time + from pathlib import Path import os import numpy as np from pypeit import msgs @@ -67,7 +67,6 @@ def main(args): from pypeit import slittrace from pypeit.pypeit import PypeIt from pypeit.images import buildimage - #from pypeit import masterframe from IPython import embed @@ -75,14 +74,13 @@ def main(args): msgs.set_logfile_and_verbosity('trace_edges', args.verbosity) if args.pypeit_file is not None: - pypeit_file = args.pypeit_file - if not os.path.isfile(pypeit_file): - raise FileNotFoundError('File does not exist: {0}'.format(pypeit_file)) - pypeit_file = os.path.abspath(pypeit_file) - redux_path = os.path.abspath(os.path.split(pypeit_file)[0] - if args.redux_path is None else args.redux_path) - - rdx = PypeIt(pypeit_file, redux_path=redux_path) + pypeit_file = Path(args.pypeit_file).resolve() + if not pypeit_file.exists(): + raise FileNotFoundError(f'File does not exist: {pypeit_file}') + redux_path = pypeit_file.parent if args.redux_path is None \ + else Path(args.redux_path).resolve() + + rdx = PypeIt(str(pypeit_file), redux_path=str(redux_path)) detectors = rdx.par['rdx']['detnum'] if args.detector is None else args.detector # Save the spectrograph spec = rdx.spectrograph @@ -93,8 +91,10 @@ def main(args): # Find the rows in the metadata table with trace frames in the # specified calibration group tbl_rows = rdx.fitstbl.find_frames('trace', calib_ID=int(group), index=True) + setup = rdx.fitstbl['setup'][tbl_rows[0]] + calib_id = rdx.fitstbl['calib'][tbl_rows[0]] # Master keyword - master_key_base = '_'.join(rdx.fitstbl.master_key(tbl_rows[0]).split('_')[:2]) + #master_key_base = '_'.join(rdx.fitstbl.master_key(tbl_rows[0]).split('_')[:2]) # Save the binning binning = rdx.fitstbl['binning'][tbl_rows[0]] # Save the full file paths @@ -123,13 +123,15 @@ def main(args): else: detectors = args.detector spec = load_spectrograph(args.spectrograph) - master_key_base = 'A_1' + setup = 'A' # Dummy value + calib_id = '1' # Dummy value binning = '1,1' if args.binning is None else args.binning - if not os.path.isfile(args.trace_file): - raise FileNotFoundError('File does not exist: {0}'.format(args.trace_file)) - files = [os.path.abspath(args.trace_file)] - redux_path = os.path.abspath(os.path.split(files[0])[0] - if args.redux_path is None else args.redux_path) + trace_file = Path(args.trace_file).resolve() + if not trace_file.exists(): + raise FileNotFoundError(f'File does not exist: {trace_file}') + files = [str(trace_file)] + redux_path = trace_file.parent if args.redux_path is None \ + else Path(args.redux_path).resolve() par = spec.default_pypeit_par() proc_par = par['calibrations']['traceframe'] trace_par = par['calibrations']['slitedges'] @@ -140,7 +142,7 @@ def main(args): dark_par = None # Set the QA path - qa_path = os.path.join(os.path.abspath(os.path.split(files[0])[0]), 'QA') + qa_path = redux_path / 'QA' if detectors is None: detectors = np.arange(spec.ndet)+1 @@ -149,11 +151,8 @@ def main(args): elif any([isinstance(d,str) for d in detectors]): detectors = [eval(d) for d in detectors] - master_dir = os.path.join(redux_path, args.master_dir) + calib_dir = redux_path / args.calib_dir for det in detectors: - # Master keyword for output file name - master_key = f'{master_key_base}_{spec.get_det_name(det)}' - # Get the bias frame if requested if bias_files is None: proc_par['process']['use_biasimage'] = False @@ -172,7 +171,8 @@ def main(args): # Build the trace image traceImage = buildimage.buildimage_fromlist(spec, det, proc_par, files, bias=msbias, - bpm=msbpm, dark=msdark) + bpm=msbpm, dark=msdark, setup=setup, + calib_id=calib_id, calib_dir=calib_dir) # Trace the slit edges t = time.perf_counter() edges = edgetrace.EdgeTraceSet(traceImage, spec, trace_par, auto=True, @@ -181,16 +181,10 @@ def main(args): print('Tracing for detector {0} finished in {1} s.'.format(det, time.perf_counter()-t)) # Write the MasterEdges file - edge_masterframe_name = masterframe.construct_file_name(edgetrace.EdgeTraceSet, - master_key, - master_dir=master_dir) - edges.to_master_file(edge_masterframe_name) + edges.to_file() # Write the MasterSlits file - slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, - master_key, - master_dir=master_dir) - edges.get_slits().to_master_file(slit_masterframe_name) + edges.get_slits().to_file() return 0 diff --git a/pypeit/sensfunc.py b/pypeit/sensfunc.py index 1be8e989e6..552a36488e 100644 --- a/pypeit/sensfunc.py +++ b/pypeit/sensfunc.py @@ -100,6 +100,27 @@ class SensFunc(datamodel.DataContainer): # 'measurements')} """DataContainer datamodel.""" + internals = ['sensfile', + 'spectrograph', + 'par', + 'qafile', + 'thrufile', + 'debug', + 'wave_cnts', + 'counts', + 'counts_ivar', + 'counts_mask', + 'nspec_in', + 'norderdet', + 'wave_splice', + 'zeropoint_splice', + 'throughput_splice', + 'steps', + 'splice_multi_det', + 'meta_spec', + 'std_dict' + ] + _algorithm = None """Algorithm used for the sensitivity calculation.""" @@ -221,29 +242,6 @@ def __init__(self, spec1dfile, sensfile, par=None, debug=False): star_mag=self.par['star_mag'], ra=star_ra, dec=star_dec) - def _init_internals(self): - """Add any attributes that are *not* part of the datamodel.""" - - self.sensfile = None - self.spectrograph = None - self.par = None - self.qafile = None - self.thrufile = None - self.debug = None - self.wave_cnts = None - self.counts = None - self.counts_ivar = None - self.counts_mask = None - self.nspec_in = None - self.norderdet = None - self.wave_splice = None - self.zeropoint_splice = None - self.throughput_splice = None - self.steps = None - self.splice_multi_det = None - self.meta_spec = None - self.std_dict = None - def _bundle(self): """ Bundle the object for writing using diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index 82e9ed3158..38ef33a6d1 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -103,6 +103,11 @@ class Spec2DObj(datamodel.DataContainer): 'detector': dict(otype=(DetectorContainer, Mosaic), descr='Detector or Mosaic metadata') } + internals = ['process_steps', + 'head0', + 'chk_version' # Mainly for viewing/using old versions + ] + @classmethod def from_file(cls, file, detname, chk_version=True): """ @@ -178,11 +183,6 @@ def __init__(self, sciimg, ivarraw, skymodel, objmodel, ivarmodel, # Setup the DataContainer datamodel.DataContainer.__init__(self, d=_d) - def _init_internals(self): - self.process_steps = None - self.head0 = None - self.chk_version = None # Mainly for viewing/using old versions - def _validate(self): """ Assert that the detector has been set and that the bitmask is correct. diff --git a/pypeit/specobj.py b/pypeit/specobj.py index 10f2ca9d0d..cc9c110661 100644 --- a/pypeit/specobj.py +++ b/pypeit/specobj.py @@ -201,6 +201,25 @@ class SpecObj(datamodel.DataContainer): Defines the current datmodel. """ + internals = [# Object finding + 'smash_peakflux', + 'smash_snr', + # Hand + 'hand_extract_flag', + 'hand_extract_spec', + 'hand_extract_spat', + 'hand_extract_det', + 'hand_extract_fwhm', + # Object profile + 'prof_nsigma', + 'sign', + 'min_spat', + 'max_spat', + # Echelle + 'ech_frac_was_fit', + 'ech_snr' + ] + def __init__(self, PYPELINE, DET, OBJTYPE='unknown', SLITID=None, ECH_ORDER=None, ECH_ORDERINDX=None): @@ -208,6 +227,10 @@ def __init__(self, PYPELINE, DET, OBJTYPE='unknown', _d = dict([(k,values[k]) for k in args[1:]]) super().__init__(d=_d) + # Initialize internal values that are not None + self.hand_extract_flag = False + self.sign = 1. + self.FLEX_SHIFT_GLOBAL = 0. self.FLEX_SHIFT_LOCAL = 0. self.FLEX_SHIFT_TOTAL = 0. @@ -227,28 +250,6 @@ def from_arrays(cls, PYPELINE:str, wave:np.ndarray, counts:np.ndarray, ivar:np.n slf[mode+'_MASK'] = (slf[mode+'_COUNTS_IVAR'] > 0.) & np.isfinite(slf[mode+'_COUNTS_IVAR']) return slf - def _init_internals(self): - # Object finding - self.smash_peakflux = None - self.smash_snr = None - - # Hand - self.hand_extract_flag = False - self.hand_extract_spec = None - self.hand_extract_spat = None - self.hand_extract_det = None - self.hand_extract_fwhm = None - - # Object profile - self.prof_nsigma = None - self.sign = 1.0 - self.min_spat = None - self.max_spat = None - - # Echelle - self.ech_frac_was_fit = None # - self.ech_snr = None # - def _validate(self): """ Validate the object. diff --git a/pypeit/tests/test_arcimage.py b/pypeit/tests/test_arcimage.py index a64676d355..61dc17dd73 100644 --- a/pypeit/tests/test_arcimage.py +++ b/pypeit/tests/test_arcimage.py @@ -33,7 +33,7 @@ def test_io(): arcImage = buildimage.ArcImage.from_pypeitimage(pypeitImage) # Set paths and check name arcImage.set_paths(data_path(''), 'A', ['1'], 'DET01') - ofile = Path(arcImage.construct_file_name()).resolve() + ofile = Path(arcImage.get_path()).resolve() assert str(ofile) == data_path('Arc_A_1_DET01.fits'), 'Calibration file name changed' # Write arcImage.to_file(overwrite=True) @@ -54,6 +54,5 @@ def test_io(): # Cleanup ofile.unlink() -test_io() diff --git a/pypeit/tracepca.py b/pypeit/tracepca.py index 17f140957a..a77b6fe3a2 100644 --- a/pypeit/tracepca.py +++ b/pypeit/tracepca.py @@ -104,6 +104,8 @@ class TracePCA(DataContainer): 'coefficients at a new reference coordinate.')} """Object datamodel.""" + internals = ['is_empty'] + # TODO: Add a show method that plots the pca coefficients and the # current fit, if there is one def __init__(self, trace_cen=None, npca=None, pca_explained_var=99.0, reference_row=None, @@ -111,16 +113,13 @@ def __init__(self, trace_cen=None, npca=None, pca_explained_var=99.0, reference_ # Instantiate as an empty DataContainer super(TracePCA, self).__init__() + self.is_empty = True # Only do the decomposition if the trace coordinates are provided. if trace_cen is not None: self.decompose(trace_cen, npca=npca, pca_explained_var=pca_explained_var, reference_row=reference_row, coo=coo) - def _init_internals(self): - """Add any attributes that are *not* part of the datamodel.""" - self.is_empty = True - def decompose(self, trace_cen, npca=None, pca_explained_var=99.0, reference_row=None, coo=None): r""" From a881b41d4b912b0a03fccbcab134bf8311a3d390 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 27 Mar 2023 10:06:57 -0700 Subject: [PATCH 108/308] CHANGES --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index daf21b66fc..0faf29ef45 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -9,6 +9,7 @@ - Various bug fixes and enhancements to mmt_bluechannel and mmt_binospec support - Include the S/N of extracted spectra in the SpecObj datamodel - Added new specutils interface +- Make pypeit_show_2dspec (somewhat) backwards compatible. 1.12.1 (21 Feb 2023) -------------------- From 57975fd38bb5321fcaa9bc00acf7996d24ffe31e Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 27 Mar 2023 10:20:28 -0700 Subject: [PATCH 109/308] PR comments --- pypeit/core/flexure.py | 2 +- pypeit/data/arc_lines/convert_NIST_to_lists.py | 2 +- pypeit/scripts/ql_multislit.py | 3 +-- 3 files changed, 3 insertions(+), 4 deletions(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index b224430c10..e7e332e095 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -1529,7 +1529,7 @@ def qa_plots(self, plot_dir:str, root:str): # Generate QA folder as need be qa_dir = pathlib.Path(plot_dir) / 'QA' if not qa_dir.is_dir(): - qa_dir.mkdir() + qa_dir.mkdir(parents=True) ''' # Slopes diff --git a/pypeit/data/arc_lines/convert_NIST_to_lists.py b/pypeit/data/arc_lines/convert_NIST_to_lists.py index f711e6439f..d9b070f8ab 100644 --- a/pypeit/data/arc_lines/convert_NIST_to_lists.py +++ b/pypeit/data/arc_lines/convert_NIST_to_lists.py @@ -69,7 +69,7 @@ def load_line_list(line): line_list : Table """ - line_file = data.Paths.nist.jopinpath(f'{line}_vacuum.ascii') + line_file = data.Paths.nist / f'{line}_vacuum.ascii' # Check the NIST lines file exists if not line_file.is_file(): diff --git a/pypeit/scripts/ql_multislit.py b/pypeit/scripts/ql_multislit.py index 4ca412becf..d8e3eb6cd1 100644 --- a/pypeit/scripts/ql_multislit.py +++ b/pypeit/scripts/ql_multislit.py @@ -6,7 +6,6 @@ """ import copy -import os import pathlib import time @@ -109,7 +108,7 @@ def print_offset_report(files, dither_pattern, dither_id, offset_arcsec, target, msg_string += msgs.newline() + '----------------------------------------------------' for iexp, file in enumerate(files): msg_string += msgs.newline() + ' {:s} {:s} {:6.2f} {:6.2f}'.format( - os.path.basename(file), dither_id[iexp], offset_arcsec[iexp], offset_arcsec[iexp] / platescale) + file.name, dither_id[iexp], offset_arcsec[iexp], offset_arcsec[iexp] / platescale) msg_string += msgs.newline() + '********************************************************' msgs.info(msg_string) From 501e85aa80b0d6daac2855a605bd803160b1ed8b Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 27 Mar 2023 11:02:51 -0700 Subject: [PATCH 110/308] Add more control to local sky subtraction This commit allows a pass-through parameter to control the width of the local sky subtraction window in terms of the FWHM of the object. modified: CHANGES.rst modified: pypeit/core/skysub.py modified: pypeit/find_objects.py modified: pypeit/par/pypeitpar.py --- CHANGES.rst | 1 + pypeit/core/skysub.py | 3 ++- pypeit/find_objects.py | 1 + pypeit/par/pypeitpar.py | 8 ++++++-- 4 files changed, 10 insertions(+), 3 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index daf21b66fc..7190d4585a 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -9,6 +9,7 @@ - Various bug fixes and enhancements to mmt_bluechannel and mmt_binospec support - Include the S/N of extracted spectra in the SpecObj datamodel - Added new specutils interface +- Allow user control of the local sky subtraction window 1.12.1 (21 Feb 2023) -------------------- diff --git a/pypeit/core/skysub.py b/pypeit/core/skysub.py index cc093698f6..e6da1e67c2 100644 --- a/pypeit/core/skysub.py +++ b/pypeit/core/skysub.py @@ -779,7 +779,8 @@ def local_skysub_extract(sciimg, sciivar, tilts, waveimg, global_sky, thismask, min_spat1 = slit_left max_spat1 = slit_righ else: - # The default value of maskwidth = 3.0 * FWHM = 7.05 * sigma in objfind with a log(S/N) correction for bright objects + # The default value of maskwidth = 4.0 * FWHM = 9.4 * sigma in objfind with a log(S/N) correction for bright objects + # But the width can be adjusted with `par['reduce']['skysub']['local_maskwidth']` left_edges = np.array([sobjs[i].TRACE_SPAT - sobjs[i].maskwidth - 1 for i in group]) righ_edges = np.array([sobjs[i].TRACE_SPAT + sobjs[i].maskwidth + 1 for i in group]) diff --git a/pypeit/find_objects.py b/pypeit/find_objects.py index 6f187d294a..b112c06bc3 100644 --- a/pypeit/find_objects.py +++ b/pypeit/find_objects.py @@ -874,6 +874,7 @@ def find_objects_pypeline(self, image, ivar, std_trace=None, boxcar_rad=self.par['reduce']['extraction']['boxcar_radius'] / self.get_platescale(), #pixels maxdev=self.par['reduce']['findobj']['find_maxdev'], find_min_max=self.par['reduce']['findobj']['find_min_max'], + extract_maskwidth=self.par['reduce']['skysub']['local_maskwidth'], qa_title=qa_title, nperslit=maxnumber, objfindQA_filename=objfindQA_filename, debug_all=debug) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index e3c18953e8..bc261b25c6 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3709,7 +3709,7 @@ class SkySubPar(ParSet): def __init__(self, bspline_spacing=None, sky_sigrej=None, global_sky_std=None, no_poly=None, user_regions=None, joint_fit=None, mask_by_boxcar=None, - no_local_sky=None, max_mask_frac=None): + no_local_sky=None, max_mask_frac=None, local_maskwidth=None): # Grab the parameter names and values from the function # arguments args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -3775,6 +3775,10 @@ def __init__(self, bspline_spacing=None, sky_sigrej=None, global_sky_std=None, n descr['max_mask_frac'] = 'Maximum fraction of total pixels on a slit that can be masked by the input masks. ' \ 'If more than this threshold is masked the code will return zeros and throw a warning.' + defaults['local_maskwidth'] = 4.0 + dtypes['local_maskwidth'] = float + descr['local_maskwidth'] = 'Initial width of the region in units of FWHM that will be used for local sky subtraction' + # Instantiate the parameter set super(SkySubPar, self).__init__(list(pars.keys()), @@ -3792,7 +3796,7 @@ def from_dict(cls, cfg): # Basic keywords parkeys = ['bspline_spacing', 'sky_sigrej', 'global_sky_std', 'no_poly', 'user_regions', 'joint_fit', 'mask_by_boxcar', - 'no_local_sky', 'max_mask_frac'] + 'no_local_sky', 'max_mask_frac', 'local_maskwidth'] badkeys = np.array([pk not in parkeys for pk in k]) if np.any(badkeys): From 2f3d20df8bec419fa4393ba85594d76a17cfa00c Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 27 Mar 2023 11:24:48 -0700 Subject: [PATCH 111/308] Doc update + PR comment --- doc/pypeit_par.rst | 1 + pypeit/spectrographs/gemini_gnirs.py | 1 + 2 files changed, 2 insertions(+) diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 4e5d4b082e..71d8f73208 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -750,6 +750,7 @@ Key Type Options Default Description ``bspline_spacing`` int, float .. 0.6 Break-point spacing for the bspline sky subtraction fits. ``global_sky_std`` bool .. True Global sky subtraction will be performed on standard stars. This should be turned off for example for near-IR reductions with narrow slits, since bright standards can fill the slit causing global sky-subtraction to fail. In these situations we go straight to local sky-subtraction since it is designed to deal with such situations ``joint_fit`` bool .. False Perform a simultaneous joint fit to sky regions using all available slits. Currently, this parameter is only used for IFU data reduction. +``local_maskwidth`` float .. 4.0 Initial width of the region in units of FWHM that will be used for local sky subtraction ``mask_by_boxcar`` bool .. False In global sky evaluation, mask the sky region around the object by the boxcar radius (set in ExtractionPar). ``max_mask_frac`` float .. 0.8 Maximum fraction of total pixels on a slit that can be masked by the input masks. If more than this threshold is masked the code will return zeros and throw a warning. ``no_local_sky`` bool .. False If True, turn off local sky model evaluation, but do fit object profile and perform optimal extraction diff --git a/pypeit/spectrographs/gemini_gnirs.py b/pypeit/spectrographs/gemini_gnirs.py index 2b371bba35..1576376488 100644 --- a/pypeit/spectrographs/gemini_gnirs.py +++ b/pypeit/spectrographs/gemini_gnirs.py @@ -87,6 +87,7 @@ def default_pypeit_par(cls): par['reduce']['findobj']['find_trim_edge'] = [2,2] # Slit is too short to trim 5,5 especially par['reduce']['skysub']['bspline_spacing'] = 0.8 par['reduce']['skysub']['global_sky_std'] = False # Do not perform global sky subtraction for standard stars + # TODO: JFH: Is this the correct behavior? (Is why we have sky-subtraction problems for GNIRS?) par['reduce']['skysub']['no_poly'] = True # Do not use polynomial degree of freedom for global skysub par['reduce']['extraction']['model_full_slit'] = True # local sky subtraction operates on entire slit par['reduce']['findobj']['maxnumber_sci'] = 2 # Slit is narrow so allow one object per order From 3e403d256aa4248e7cd2a035fb54808366766082 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 27 Mar 2023 14:30:42 -0700 Subject: [PATCH 112/308] run_pypeit works --- pypeit/calibframe.py | 40 +++++-------------------------- pypeit/calibrations.py | 44 ++++++++++++++-------------------- pypeit/core/datacube.py | 2 +- pypeit/flatfield.py | 24 +++++++++++++------ pypeit/images/buildimage.py | 9 ------- pypeit/pypeit.py | 2 +- pypeit/scripts/identify.py | 28 ++++++++++------------ pypeit/scripts/trace_edges.py | 6 +---- pypeit/spec2dobj.py | 14 +++++------ pypeit/specobjs.py | 10 ++++---- pypeit/tests/test_history.py | 4 ++-- pypeit/tests/test_runpypeit.py | 31 +++++++++++------------- pypeit/wavecalib.py | 3 +-- pypeit/wavetilts.py | 5 ++-- 14 files changed, 87 insertions(+), 135 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index 26e9871e62..bea38c6878 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -147,20 +147,10 @@ def to_file(self, file_path=None, overwrite=True, **kwargs): default! **kwargs (optional): Passed directly to - :func:`~pypeit.datamodel.DataContainer.to_file`. One of the - keyword arguments *cannot* be ``'filename'``. The filenames for - :class:`CalibFrame` objects are predefined. If ``'hdr'`` is a - provided keyword, the CalibFrame-specific keywords are added - using :func:`build_header` and passed to on to :func:`~pypeit.datamodel.DataContainer.to_file`. """ - if 'hdr' in kwargs: - hdr = self.build_header(hdr=kwargs['hdr']) - kwargs.pop('hdr') - else: - hdr = self.build_header() _file_path = self.get_path() if file_path is None else Path(file_path).resolve() - super().to_file(_file_path, hdr=hdr, overwrite=overwrite, **kwargs) + super().to_file(_file_path, overwrite=overwrite, **kwargs) @classmethod def from_hdu(cls, hdu, chk_version=True, **kwargs): @@ -192,26 +182,11 @@ def from_hdu(cls, hdu, chk_version=True, **kwargs): # NOTE: If multiple HDUs are parsed, this assumes that the information # necessary to set all the calib internals is always in *every* header. # BEWARE! - try: - hdr_to_parse = hdu[parsed_hdus[0]].header - except: - embed() - exit() + hdr_to_parse = hdu[parsed_hdus[0]].header # TODO: Consider making the next two lines a function so that they don't # need to be repeated in PypeItCalibrationImage. self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID'].split(',')) - # Check that the parsed HDUs are for the correct calibration frame type. - # TODO: This is superfluous because the _parse statement above will - # already check that the datamodel type passed. I.e., we allow - # circumventing the datamodel version, but we never allow circumventing - # the datamodel *type*. -# if 'CALIBTYP' in hdr_to_parse: -# if hdr_to_parse['CALIBTYP'] != cls.calib_type: -# msgs.error(f'Primary header of {_ifile} does not have the correct calibration ' -# f'frame type! Found {hdr_to_parse["CALIBTYP"]}, but expected ' -# f'{cls.calib_type}.') - return self @staticmethod @@ -372,12 +347,10 @@ def get_path(self): """ return self.__class__.construct_file_name(self.calib_key, calib_dir=self.calib_dir) - def build_header(self, hdr=None): + def _base_header(self, hdr=None): """ - Initialize the calibration frame header. - - This builds a generic header that is written to all PypeIt calibration - frames. + Override the base class method to add useful/identifying internals to + the header. Args: hdr (`astropy.io.fits.Header`, optional): @@ -389,12 +362,11 @@ def build_header(self, hdr=None): `astropy.io.fits.Header`_: The initialized (or edited) fits header. """ # Standard init - _hdr = io.initialize_header(hdr) + _hdr = super()._base_header(hdr=hdr) # Save the calibration frame type and key and version, in case the file # name is changed. _hdr['CALIBTYP'] = (self.calib_type, 'PypeIt: Calibration frame type') - _hdr['CALIBVER'] = (self.version, 'PypeIt: Calibration datamodel version') if self.calib_dir is not None: _hdr['CALIBDIR'] = (self.calib_dir, 'PypeIt: Calibration file directory') if self.calib_key is not None: diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index c26af66cd7..5b225be586 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -524,8 +524,8 @@ def get_flats(self): if not self._chk_objs(['msarc', 'msbpm', 'slits', 'wv_calib']): msgs.warn('Must have the arc, bpm, slits, and wv_calib defined to make flats! ' 'Skipping and may crash down the line') - # TODO: Why is this an empty object and not None? - self.flatimages = flatfield.FlatImages() + # TODO: Why was this an empty object and not None? + self.flatimages = None #flatfield.FlatImages() return self.flatimages # Slit and tilt traces are required to flat-field the data @@ -533,8 +533,8 @@ def get_flats(self): # TODO: Why doesn't this fault? msgs.warn('Flats were requested, but there are quantities missing necessary to ' 'create flats. Proceeding without flat fielding....') - # TODO: Why is this an empty object and not None? - self.flatimages = flatfield.FlatImages() + # TODO: Why was this an empty object and not None? + self.flatimages = None #flatfield.FlatImages() return self.flatimages # Check internals @@ -550,9 +550,9 @@ def get_flats(self): detname = self.spectrograph.get_det_name(self.det) # Construct the expected calibration frame file name - flat_file = Path(flatfield.FlatImages.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), - calib_dir=self.calib_dir)).resolve() + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) + flat_file = Path(flatfield.FlatImages.construct_file_name(calib_key, + calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: if flat_file.exists() and self.reuse: @@ -573,17 +573,15 @@ def get_flats(self): pixelflatImages, illumflatImages = None, None lampoff_flat = None # Check if the image files are the same - pix_is_illum = Counter(illum_image_files) == Counter(pixflat_image_files) + pix_is_illum = Counter(raw_illum_files) == Counter(raw_pixel_files) if len(raw_pixel_files) > 0: msgs.info('Creating pixel-flat calibration frame using files: ') - for f in pixflat_image_files: + for f in raw_pixel_files: msgs.prindent(f'{Path(f).name}') pixel_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['pixelflatframe'], raw_pixel_files, dark=self.msdark, - bias=self.msbias, bpm=self.msbpm, - calib_dir=self.calib_dir, setup=setup, - calib_id=calib_id) + bias=self.msbias, bpm=self.msbpm) if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') for f in raw_lampoff_files: @@ -592,16 +590,14 @@ def get_flats(self): self.par['lampoffflatsframe'], raw_lampoff_files, dark=self.msdark, bias=self.msbias, - bpm=self.msbpm, - calib_dir=self.calib_dir, setup=setup, - calib_id=calib_id) + bpm=self.msbpm) pixel_flat = pixel_flat.sub(lampoff_flat) # Initialise the pixel flat pixelFlatField = flatfield.FlatField(pixel_flat, self.spectrograph, self.par['flatfield'], self.slits, self.wavetilts, self.wv_calib, qa_path=self.qa_path, - calib_key=pixel_flat.calib_key) + calib_key=calib_key) # Generate pixelflatImages = pixelFlatField.run(doqa=self.write_qa, show=self.show) # Set flatimages in case we want to apply the pixel-to-pixel sensitivity corrections to the illumflat @@ -610,14 +606,12 @@ def get_flats(self): # Only build illum_flat if the input files are different from the pixel flat if not pix_is_illum and len(raw_illum_files) > 0: msgs.info('Creating illumination flat calibration frame using files: ') - for f in illum_image_files: + for f in raw_illum_files: msgs.prindent(f'{Path(f).name}') illum_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['illumflatframe'], raw_illum_files, dark=self.msdark, bias=self.msbias, - flatimages=self.flatimages, bpm=self.msbpm, - calib_dir=self.calib_dir, setup=setup, - calib_id=calib_id) + flatimages=self.flatimages, bpm=self.msbpm) if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') for f in raw_lampoff_files: @@ -627,17 +621,14 @@ def get_flats(self): self.par['lampoffflatsframe'], raw_lampoff_files, dark=self.msdark, - bias=self.msbias, bpm=self.msbpm, - calib_dir=self.calib_dir, - setup=setup, calib_id=calib_id) + bias=self.msbias, bpm=self.msbpm) illum_flat = illum_flat.sub(lampoff_flat) # Initialise the pixel flat illumFlatField = flatfield.FlatField(illum_flat, self.spectrograph, self.par['flatfield'], self.slits, self.wavetilts, self.wv_calib, spat_illum_only=True, - qa_path=self.qa_path, - calib_key=illum_flat.calib_key) + qa_path=self.qa_path, calib_key=calib_key) # Generate illumflatImages = illumFlatField.run(doqa=self.write_qa, show=self.show) @@ -654,6 +645,7 @@ def get_flats(self): self.flatimages = illumflatImages if self.flatimages is not None: + self.flatimages.set_paths(self.calib_dir, setup, calib_id, detname) # Save flat images self.flatimages.to_file() # Save slits too, in case they were tweaked @@ -1058,7 +1050,7 @@ def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=N cfg[setup][calib_ID][frametype] = {} cfg[setup][calib_ID][frametype]['raw'] = fitstbl.frame_paths(indx) cfg[setup][calib_ID][frametype]['proc'] \ - = [calib_class.construct_file_name(calib_key, calib_dir=_caldir) + = [str(calib_class.construct_file_name(calib_key, calib_dir=_caldir)) for calib_class in frame_calibrations[frametype]] # Write it diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ea803fbc6c..327ab64961 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -150,7 +150,7 @@ def to_file(self, ofile, primary_hdr=None, hdr=None, **kwargs): """ if primary_hdr is None: - primary_hdr = io.initialize_header(primary=True) + primary_hdr = io.initialize_header() # Build the header if self.head0 is not None and self.PYP_SPEC is not None: spectrograph = load_spectrograph(self.PYP_SPEC) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 48c7308afe..aa80f3396c 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1816,23 +1816,31 @@ def illum_profile_spectral(rawimg, waveimg, slits, slit_illum_ref_idx=0, smooth_ def merge(init_cls, merge_cls): """ - Merge merge_cls into init_cls, and return a merged :class:`pypeit.flatfield.FlatImages` class. - If an element exists in both init_cls and merge_cls, the merge_cls value is taken + Merge ``merge_cls`` into ``init_cls``, and return a merged + :class:`~pypeit.flatfield.FlatImages` class. + + If ``init_cls`` is None, the returned value is ``merge_cls``, and vice + versa. If an element exists in both init_cls and merge_cls, the merge_cls + value is taken Parameters ---------- - init_cls : :class:`pypeit.flatfield.FlatImages` - Initial class (the elements of this class will be considered the default) - merge_cls : :class:`pypeit.flatfield.FlatImages` - The non-zero elements will be merged into init_cls. + init_cls : :class:`~pypeit.flatfield.FlatImages` + Initial class (the elements of this class will be considered the + default). Can be None. + merge_cls : :class:`~pypeit.flatfield.FlatImages` + The non-zero elements will be merged into init_cls. Can be None. Returns ------- - :class:`pypeit.flatfield.FlatImages` : A new instance of the FlatImages class with merged properties. + flats : :class:`~pypeit.flatfield.FlatImages` + A new instance of the FlatImages class with merged properties. """ # Check the class to be merged in is not None if merge_cls is None: return init_cls + if init_cls is None: + return merge_cls # Initialise variables # extract all elements that are prefixed with 'pixelflat_' or 'illumflat_' keys = [a for a in list(init_cls.__dict__.keys()) if '_' in a and a.split('_')[0] in ['illumflat', 'pixelflat']] @@ -1845,6 +1853,8 @@ def merge(init_cls, merge_cls): for key in keys: mrg = False val = None + # TODO: Why are we using exec here? Can we use setattr and getattr + # instead? namespace = dict({'val': val, 'init_cls':init_cls, 'merge_cls':merge_cls, 'mrg':mrg}) exec("val = init_cls.{0:s}".format(key), namespace) exec("mrg = merge_cls.{0:s} is not None".format(key), namespace) diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 876f8a28cc..ba26c053c3 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -96,15 +96,6 @@ class TraceImage(pypeitimage.PypeItCalibrationImage): # Calibration type calib_type = 'Trace' -# # TODO: This is a hack to limit the arrays written to the MasterEdges object -# # to just the selection above. The reason this doesn't work like the other -# # master images above is because the `to_master_file` function is not used -# # to build the output MasterEdges file. We might want to come up with a -# # better long-term fix for this. -# def _bundle(self): -# return [_d for _d in super()._bundle() -# if any(np.isin(list(_d.keys()), ['image', 'fullmask', 'detector']))] - class SkyRegions(pypeitimage.PypeItCalibrationImage): """ diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 73fb67c043..2c4ecdf276 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -753,7 +753,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): (self.objtype == 'standard' and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): spat_flexure_shift = self.sciImg.spat_flexure - initial_skymask = self.load_skyregions(sciImg.files[0], frames[0], spat_flexure, + initial_skymask = self.load_skyregions(sciImg.files[0], frames[0], spat_flexure_shift, initial_slits=self.spectrograph.pypeline != 'IFU') # Deal with manual extraction diff --git a/pypeit/scripts/identify.py b/pypeit/scripts/identify.py index b4a0ef8abf..2bd613726a 100644 --- a/pypeit/scripts/identify.py +++ b/pypeit/scripts/identify.py @@ -13,10 +13,9 @@ class Identify(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): parser = super().get_parser(description='Launch PypeIt identify tool, display extracted ' - 'MasterArc, and load linelist.' - 'Run above the Masters/ folder.', width=width) - parser.add_argument('arc_file', type=str, default=None, help='PypeIt MasterArc file') - parser.add_argument('slits_file', type=str, default=None, help='PypeIt MasterSlits file') + 'Arc, and load linelist.', width=width) + parser.add_argument('arc_file', type=str, default=None, help='PypeIt Arc file') + parser.add_argument('slits_file', type=str, default=None, help='PypeIt Slits file') parser.add_argument("--lamps", type=str, help="Comma separated list of calibration lamps (no spaces)") parser.add_argument('-s', '--solution', default=False, action='store_true', @@ -49,7 +48,7 @@ def main(args): import numpy as np from pypeit import msgs - #from pypeit import masterframe + from pypeit import calibframe from pypeit.spectrographs.util import load_spectrograph from pypeit.core.gui.identify import Identify from pypeit.core.wavecal import waveio @@ -57,7 +56,7 @@ def main(args): from pypeit import slittrace from pypeit.images.buildimage import ArcImage - # Load the MasterArc file + # Load the Arc file msarc = ArcImage.from_file(args.arc_file) # Load the spectrograph @@ -79,17 +78,14 @@ def main(args): slits.mask = slits.mask_init # Check if a solution exists - solnname = masterframe.construct_file_name(WaveCalib, msarc.master_key, - master_dir=msarc.master_dir) - # wv_calib = waveio.load_wavelength_calibration(solnname) \ + solnname = WaveCalib.construct_file_name(msarc.calib_key, calib_dir=msarc.calib_dir) wv_calib = WaveCalib.from_file(solnname) \ - if os.path.exists(solnname) and args.solution else None + if os.path.exists(solnname) and args.solution else None - # Load the MasterFrame (if it exists and is desired). Bad-pixel mask - # set to any flagged pixel in MasterArc. + # Load the calibration frame (if it exists and is desired). Bad-pixel mask + # set to any flagged pixel in Arc. wavecal = BuildWaveCalib(msarc, slits, spec, par, lamps, binspectral=slits.binspec, - det=args.det, master_key=msarc.master_key, - msbpm=msarc.select_flag()) + det=args.det, msbpm=msarc.select_flag()) arccen, arc_maskslit = wavecal.extract_arcs(slitIDs=[args.slit]) # Launch the identify window @@ -119,8 +115,8 @@ def main(args): if 'WaveFit' in arcfitter._fitdict.keys(): waveCalib = WaveCalib(nslits=1, wv_fits=np.atleast_1d(arcfitter._fitdict['WaveFit']), arc_spectra=np.atleast_2d(arcfitter.specdata).T, - spat_ids=np.atleast_1d(int(arcfitter._spatid)), PYP_SPEC=msarc.PYP_SPEC, - lamps=','.join(lamps)) + spat_ids=np.atleast_1d(int(arcfitter._spatid)), + PYP_SPEC=msarc.PYP_SPEC, lamps=','.join(lamps)) else: waveCalib = None diff --git a/pypeit/scripts/trace_edges.py b/pypeit/scripts/trace_edges.py index 3c7951e4ce..09133573d2 100644 --- a/pypeit/scripts/trace_edges.py +++ b/pypeit/scripts/trace_edges.py @@ -93,8 +93,6 @@ def main(args): tbl_rows = rdx.fitstbl.find_frames('trace', calib_ID=int(group), index=True) setup = rdx.fitstbl['setup'][tbl_rows[0]] calib_id = rdx.fitstbl['calib'][tbl_rows[0]] - # Master keyword - #master_key_base = '_'.join(rdx.fitstbl.master_key(tbl_rows[0]).split('_')[:2]) # Save the binning binning = rdx.fitstbl['binning'][tbl_rows[0]] # Save the full file paths @@ -180,10 +178,8 @@ def main(args): qa_path=qa_path) print('Tracing for detector {0} finished in {1} s.'.format(det, time.perf_counter()-t)) - # Write the MasterEdges file + # Write the two calibration frames edges.to_file() - - # Write the MasterSlits file edges.get_slits().to_file() return 0 diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index 38ef33a6d1..8cd5089b48 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -503,8 +503,10 @@ def build_primary_hdr(self, raw_header, spectrograph, calib_dir=None, Returns: `astropy.io.fits.Header`_: The primary header for the output fits file. """ - hdr = io.initialize_header(primary=True) + # Instantiate the header + hdr = io.initialize_header() + # Copy most of the information from the raw header hdukeys = ['BUNIT', 'COMMENT', '', 'BITPIX', 'NAXIS', 'NAXIS1', 'NAXIS2', 'HISTORY', 'EXTEND', 'DATASEC'] for key in raw_header.keys(): @@ -513,11 +515,12 @@ def build_primary_hdr(self, raw_header, spectrograph, calib_dir=None, continue # Update unused ones hdr[key] = raw_header[key] - # History + + # Add the History if history is not None: history.write_to_header(hdr) - # Sub-header + # Add the spectrograph-specific sub-header if subheader is not None: for key in subheader.keys(): hdr[key.upper()] = subheader[key] @@ -645,10 +648,7 @@ def write_to_fits(self, outfile, pri_hdr=None, update_det=None, self[det] = _allspecobj[det] # Primary HDU for output - prihdu = fits.PrimaryHDU() - # Header - if pri_hdr is not None: - prihdu.header = pri_hdr + prihdu = fits.PrimaryHDU(header=pri_hdr) # Add class name prihdu.header['PYP_CLS'] = self.__class__.__name__ diff --git a/pypeit/specobjs.py b/pypeit/specobjs.py index f00d7ff70a..1c55ab41a5 100644 --- a/pypeit/specobjs.py +++ b/pypeit/specobjs.py @@ -664,7 +664,7 @@ def write_to_fits(self, subheader, outfile, overwrite=True, update_det=None, _specobjs = self.specobjs # Build up the Header - header = io.initialize_header(primary=True) + header = io.initialize_header() for key in subheader.keys(): if key.upper() == 'HISTORY': if history is None: @@ -674,9 +674,8 @@ def write_to_fits(self, subheader, outfile, overwrite=True, update_det=None, header[key.upper()] = subheader[key] # Init - prihdu = fits.PrimaryHDU() + prihdu = fits.PrimaryHDU(header=header) hdus = [prihdu] - prihdu.header = header # Add class info prihdu.header['DMODCLS'] = (self.__class__.__name__, 'Datamodel class') @@ -732,8 +731,9 @@ def write_to_fits(self, subheader, outfile, overwrite=True, update_det=None, # A few more for the header prihdu.header['NSPEC'] = nspec - # Code versions - io.initialize_header(hdr=prihdu.header) + # THIS IS DONE ABOVE +# # Code versions +# io.initialize_header(hdr=prihdu.header) # Finish hdulist = fits.HDUList(hdus) diff --git a/pypeit/tests/test_history.py b/pypeit/tests/test_history.py index ce930966fb..8093bebfda 100644 --- a/pypeit/tests/test_history.py +++ b/pypeit/tests/test_history.py @@ -38,7 +38,7 @@ def test_history_header_access(): """Test building a History object from a fits header""" # Get a blank header - header = initialize_header(primary=True) + header = initialize_header() history1 = History() @@ -65,7 +65,7 @@ def test_write_and_append_history(): """Test appending to a History object and writing the history to a fits header""" # Get a blank header - header = initialize_header(primary=True) + header = initialize_header() history = History(header) # Append a test history with and without a date diff --git a/pypeit/tests/test_runpypeit.py b/pypeit/tests/test_runpypeit.py index 5e32f08cc7..0a1343ce25 100644 --- a/pypeit/tests/test_runpypeit.py +++ b/pypeit/tests/test_runpypeit.py @@ -1,7 +1,7 @@ """ Module to do a full run of PypeIt on good ole Kastb """ -import os +from pathlib import Path import sys import glob import shutil @@ -26,27 +26,26 @@ def test_run_pypeit(): # Just get a few files - testrawdir = data_path('') - - outdir = data_path('REDUX_OUT_TEST') + testrawdir = Path(data_path('')).resolve() + outdir = testrawdir / 'REDUX_OUT_TEST' # For previously failed tests - if os.path.isdir(outdir): + if outdir.exists(): shutil.rmtree(outdir) # Run the setup - sargs = Setup.parse_args(['-r', testrawdir+'b', '-s', + sargs = Setup.parse_args(['-r', str(testrawdir / 'b'), '-s', 'shane_kast_blue', '-c all', '-o', - '--output_path', outdir]) + '--output_path', str(outdir)]) Setup.main(sargs) # Change to the configuration directory and set the pypeit file - configdir = os.path.join(outdir, 'shane_kast_blue_A') - pyp_file = os.path.join(configdir, 'shane_kast_blue_A.pypeit') - assert os.path.isfile(pyp_file), 'PypeIt file not written.' + configdir = outdir / 'shane_kast_blue_A' + pyp_file = configdir / 'shane_kast_blue_A.pypeit' + assert pyp_file.exists(), 'PypeIt file not written.' # Try to run with -m and -o - pargs = RunPypeIt.parse_args([pyp_file, '-o', '-m', '-r', configdir]) + pargs = RunPypeIt.parse_args([str(pyp_file), '-o', '-m', '-r', str(configdir)]) RunPypeIt.main(pargs) # TODO: Add some code that will try to open the QA HTML and check that it @@ -55,9 +54,8 @@ def test_run_pypeit(): # ######################################################### # Test!! # Files exist - spec1d_file = os.path.join(configdir, 'Science', - 'spec1d_b27-J1217p3905_KASTb_20150520T045733.560.fits') - assert os.path.isfile(spec1d_file), 'spec1d file missing' + spec1d_file = configdir / 'Science' / 'spec1d_b27-J1217p3905_KASTb_20150520T045733.560.fits' + assert spec1d_file.exists(), 'spec1d file missing' # spec1d specObjs = specobjs.SpecObjs.from_fitsfile(spec1d_file) @@ -72,13 +70,12 @@ def test_run_pypeit(): assert abs(specObjs[0].VEL_CORR - 0.9999251762866389) < 1.0E-10 # .par file was written and loads - par_file = glob.glob(os.path.join(configdir, '*.par'))[0] + par_file = str(list(configdir.glob('shane_kast_blue*.par'))[0]) par = pypeitpar.PypeItPar.from_cfg_file(par_file) assert isinstance(par, pypeitpar.PypeItPar) - # Now re-use those calibration files - pargs = RunPypeIt.parse_args([pyp_file, '-o', '-r', configdir]) + pargs = RunPypeIt.parse_args([str(pyp_file), '-o', '-r', str(configdir)]) RunPypeIt.main(pargs) # Clean-up diff --git a/pypeit/wavecalib.py b/pypeit/wavecalib.py index a71deff7c4..134a8ad2de 100644 --- a/pypeit/wavecalib.py +++ b/pypeit/wavecalib.py @@ -608,8 +608,7 @@ def build_wv_calib(self, arccen, method, skip_QA=False): # Inherit the calibration frame naming from self.msarc # TODO: Should throw an error here if these calibration frame naming # elements are not defined by self.msarc... - self.wv_calib.set_paths(self.msarc.calib_dir, self.msarc.setup, self.msarc.calib_id, - self.spectrograph.get_det_name(self.msarc.detector.det)) + self.wv_calib.copy_calib_keys(self.msarc) # Update mask self.update_wvmask() diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index c9485511ed..d045fdfeb2 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -707,11 +707,10 @@ def run(self, doqa=True, debug=False, show=False): tilts = WaveTilts(self.coeffs, self.slits.nslits, self.slits.spat_id, self.spat_order, self.spec_order, self.par['func2d'], bpmtilts=bpmtilts, spat_flexure=self.spat_flexure, PYP_SPEC=self.spectrograph.name) - # Inherit the calibration frame naming from self.mstilts + # Inherit the calibration frame naming from self.mstilt # TODO: Should throw an error here if these calibration frame naming # elements are not defined by self.mstilts... - tilts.set_paths(self.mstilts.calib_dir, self.mstilts.setup, self.mstilts.calib_id, - self.spectrograph.get_det_name(self.mstilts.detector.det)) + tilts.copy_calib_keys(self.mstilt) return tilts def _parse_param(self, par, key, slit): From 5145bf4a55bd689fb09a0ff86e7300eb965fc55f Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 27 Mar 2023 15:30:06 -0700 Subject: [PATCH 113/308] internal unit tests pass --- pypeit/onespec.py | 6 +++--- pypeit/tests/test_calibframe.py | 5 ++--- pypeit/tests/test_match.py | 14 ++++++++------ pypeit/tests/test_metadata.py | 20 +++++++++----------- pypeit/tests/test_onespec.py | 2 -- pypeit/tests/test_pypeitimage.py | 2 +- pypeit/tests/test_setups.py | 30 +++++++++--------------------- pypeit/tests/test_spectrographs.py | 3 +-- 8 files changed, 33 insertions(+), 49 deletions(-) diff --git a/pypeit/onespec.py b/pypeit/onespec.py index f01b3233d2..61faae4eed 100644 --- a/pypeit/onespec.py +++ b/pypeit/onespec.py @@ -93,7 +93,7 @@ def from_file(cls, ifile): Filename holding the object """ hdul = io.fits_open(ifile) - slf = super(OneSpec, cls).from_hdu(hdul) + slf = super().from_hdu(hdul) # Internals slf.filename = ifile @@ -139,7 +139,7 @@ def to_file(self, ofile, primary_hdr=None, history=None, **kwargs): """ if primary_hdr is None: - primary_hdr = io.initialize_header(primary=True) + primary_hdr = io.initialize_header() # Build the header if self.head0 is not None and self.PYP_SPEC is not None: spectrograph = load_spectrograph(self.PYP_SPEC) @@ -156,7 +156,7 @@ def to_file(self, ofile, primary_hdr=None, history=None, **kwargs): history.write_to_header(primary_hdr) # Do it - super(OneSpec, self).to_file(ofile, primary_hdr=primary_hdr, **kwargs) + super().to_file(ofile, primary_hdr=primary_hdr, **kwargs) diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index 26ce326785..4e67951a61 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -139,11 +139,9 @@ def test_hdr(): odir = Path(data_path('')).resolve() calib.set_paths(odir, 'A', '1', 'DET01') - hdr = calib.build_header() + hdr = calib._base_header() assert 'CALIBTYP' in hdr, 'Missing keyword' assert hdr['CALIBTYP'] == calib.calib_type - assert 'CALIBVER' in hdr, 'Missing keyword' - assert hdr['CALIBVER'] == calib.version assert 'CALIBDIR' in hdr, 'Missing keyword' assert hdr['CALIBDIR'] == calib.calib_dir assert 'CALIBKEY' in hdr, 'Missing keyword' @@ -151,3 +149,4 @@ def test_hdr(): assert 'CALIBID' in hdr, 'Missing keyword' assert hdr['CALIBID'] == ','.join(calib.calib_id) + diff --git a/pypeit/tests/test_match.py b/pypeit/tests/test_match.py index 9340b35620..efe2ba01b1 100644 --- a/pypeit/tests/test_match.py +++ b/pypeit/tests/test_match.py @@ -7,6 +7,7 @@ import numpy as np +from pypeit.calibframe import CalibFrame from pypeit.core import framematch from pypeit.tests.tstutils import dummy_fitstbl from pypeit.pypmsgs import PypeItError @@ -61,19 +62,20 @@ def test_calibration_groups(fitstbl): # fitstbl.match_to_science(par['calibrations'], par['rdx']['calwin'], par['fluxcalib']) -# TODO: FIX THIS def test_instr_setup(fitstbl): - """ Test instrument setup naming convention - Tickles most of the arsetup methods """ - par = fitstbl.spectrograph.default_pypeit_par() + Test instrument setup naming convention + """ + detname = fitstbl.spectrograph.get_det_name(1) + calib_key = CalibFrame.construct_calib_key(fitstbl['setup'][0], fitstbl['calib'][0], detname) # Check the calibration key - assert fitstbl.calib_key(0) == 'A_1_DET01' + assert calib_key == 'A_0_DET01' # Invalid detector with pytest.raises(PypeItError): # Shane kast blue doesn't have a second detector - fitstbl.calib_key(0, det=2) + fitstbl.spectrograph.get_det_name(2) + # TODO: Need a test that adds a calibration group and checks the result diff --git a/pypeit/tests/test_metadata.py b/pypeit/tests/test_metadata.py index 589da7ee2f..64dab52238 100644 --- a/pypeit/tests/test_metadata.py +++ b/pypeit/tests/test_metadata.py @@ -1,4 +1,4 @@ -import os +from pathlib import Path import shutil from IPython import embed @@ -20,23 +20,19 @@ def test_read_combid(): # ------------------------------------------------------------------ # In case of failed tests - setup_dir = data_path('setup_files') - if os.path.isdir(setup_dir): - shutil.rmtree(setup_dir) - config_dir = data_path('shane_kast_blue_A') - if os.path.isdir(config_dir): + config_dir = Path(data_path('shane_kast_blue_A')).resolve() + if config_dir.exists(): shutil.rmtree(config_dir) # ------------------------------------------------------------------ # Generate the pypeit file with the comb_id droot = data_path('b') - pargs = Setup.parse_args(['-r', droot, '-s', 'shane_kast_blue', '-c=all', '-b', - '--extension=fits.gz', '--output_path={:s}'.format(data_path(''))]) + pargs = Setup.parse_args(['-r', droot, '-s', 'shane_kast_blue', '-c', 'all', '-b', + '--extension', 'fits.gz', '--output_path', f'{config_dir.parent}']) Setup.main(pargs) - shutil.rmtree(setup_dir) - pypeit_file = os.path.join(config_dir, 'shane_kast_blue_A.pypeit') - pypeItFile = PypeItFile.from_file(pypeit_file) + pypeit_file = config_dir / 'shane_kast_blue_A.pypeit' + pypeItFile = PypeItFile.from_file(str(pypeit_file)) # Get the spectrograph spectrograph = None @@ -80,3 +76,5 @@ def test_nirspec_lamps(): # Check dome tst = spectrograph.lamps(fitstbl, 'dome') assert np.array_equal(tst, np.array([False, False, False, False, False, True, True, True])) + + diff --git a/pypeit/tests/test_onespec.py b/pypeit/tests/test_onespec.py index 0c9ca08d15..02c51747c1 100644 --- a/pypeit/tests/test_onespec.py +++ b/pypeit/tests/test_onespec.py @@ -37,5 +37,3 @@ def test_io(): ofile.unlink() - - diff --git a/pypeit/tests/test_pypeitimage.py b/pypeit/tests/test_pypeitimage.py index f6410f966c..6602934f27 100644 --- a/pypeit/tests/test_pypeitimage.py +++ b/pypeit/tests/test_pypeitimage.py @@ -214,7 +214,7 @@ def test_calib_io(): odir = Path(data_path('')).resolve() img.set_paths(odir, 'A', '1', 'DET01') assert img.calib_dir == str(odir), 'Bad output directory' - opath = Path(img.construct_file_name()).resolve() + opath = Path(img.get_path()).resolve() img.to_file(overwrite=True) assert opath.exists(), 'File not written' diff --git a/pypeit/tests/test_setups.py b/pypeit/tests/test_setups.py index 1d8c19dd4a..dcf075c3fb 100644 --- a/pypeit/tests/test_setups.py +++ b/pypeit/tests/test_setups.py @@ -1,8 +1,8 @@ """ Module to run tests on scripts """ +from pathlib import Path import os -import glob import shutil from IPython import embed @@ -20,6 +20,7 @@ def expected_file_extensions(): return ['sorted'] + def test_read_list_rawfiles(): """ Read in a file which is a list of raw data files for setting up @@ -47,35 +48,22 @@ def test_read_list_rawfiles(): if os.path.isfile(tst_file): os.remove(tst_file) + def test_run_setup(): """ Test the setup script """ - # Remove .setup if needed - sfiles = glob.glob('*.setups') - for sfile in sfiles: - os.remove(sfile) - # droot = data_path('b') - pargs = Setup.parse_args(['-r', droot, '-s', 'shane_kast_blue', '-c=all', - '--extension=fits.gz', '--output_path={:s}'.format(data_path(''))]) + odir = Path(data_path('')).resolve() / 'shane_kast_blue_A' + pargs = Setup.parse_args(['-r', droot, '-s', 'shane_kast_blue', '-c', 'all', + '--extension', 'fits.gz', '--output_path', f'{odir.parent}']) Setup.main(pargs) - #setup_file = glob.glob(data_path('setup_files/shane_kast_blue*.setups'))[0] - ## Load - #with open(setup_file, 'r') as infile: - # setup_dict = yaml.load(infile) - ## Test - #assert '01' in setup_dict['A'].keys() - #assert setup_dict['A']['--']['disperser']['name'] == '600/4310' - # Failures - pargs2 = Setup.parse_args(['-r', droot, '-s', 'shane_kast_blu', '-c=all', - '--extension=fits.gz', '--output_path={:s}'.format(data_path(''))]) + # Fails because name of spectrograph is wrong + pargs2 = Setup.parse_args(['-r', droot, '-s', 'shane_kast_blu', '-c', 'all', + '--extension', 'fits.gz', '--output_path', f'{odir.parent}']) with pytest.raises(ValueError): Setup.main(pargs2) - # Cleanup - shutil.rmtree(data_path('setup_files')) - def test_setup_made_pypeit_file(): """ Test the .pypeit file(s) made by pypeit_setup diff --git a/pypeit/tests/test_spectrographs.py b/pypeit/tests/test_spectrographs.py index 047fe5123c..74d65c44d9 100644 --- a/pypeit/tests/test_spectrographs.py +++ b/pypeit/tests/test_spectrographs.py @@ -35,13 +35,12 @@ def test_select_detectors_pypeit_file(): # Perform the setup setup = pypeitsetup.PypeItSetup.from_pypeit_file(pypeit_file) - par, spectrograph, fitstbl = setup.run(sort_dir=data_path('')) + par, spectrograph, fitstbl = setup.run() assert spectrograph.select_detectors(subset=par['rdx']['detnum']) == [1], \ 'Incorrect detectors selected.' # Clean-up - os.remove(data_path('test.calib')) os.remove(data_path('test.pypeit')) From d27d4027c98c97de3bdcf238d70aad2c82bc1a34 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 27 Mar 2023 16:21:45 -0700 Subject: [PATCH 114/308] Allow for configuration-specific parameters in `pypeit_sensfunc` Add the means for allowing the use of configuration-specific parameters from the Spectrograph subclasses in the sensitivity function calculation. Switch from using the static `spectrograph.default_pypeit_par()` method to the dynamic `spectrograph.config_specific_par()`. The issue is that this latter method uses the FITS header of the raw file to compute compound metadata keys, keys that are sometimes absent in the `spec1d` files. This commit allows for the specification of FITS cards from the raw data file to be included in downstream output files within PypeIt, thus allowing for configuration-specific parameters in the "afterburner" scripts. modified: pypeit/core/flux_calib.py modified: pypeit/scripts/sensfunc.py modified: pypeit/sensfunc.py modified: pypeit/spectrographs/spectrograph.py --- pypeit/core/flux_calib.py | 19 +++++++++++-------- pypeit/scripts/sensfunc.py | 6 +++--- pypeit/sensfunc.py | 4 ++-- pypeit/spectrographs/spectrograph.py | 25 +++++++++++++++++++++++-- 4 files changed, 39 insertions(+), 15 deletions(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index d0d4fefbff..6de8c92731 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -941,7 +941,7 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, plt.show() # Get masks from observed star spectrum. True = Good pixels - mask_bad, mask_balm, mask_tell = get_mask(wave, Nlam_star, Nlam_ivar_star, gpm_star, + mask_bad, mask_recomb, mask_tell = get_mask(wave, Nlam_star, Nlam_ivar_star, gpm_star, mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, mask_telluric=True, balm_mask_wid=balm_mask_wid, @@ -949,7 +949,7 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, # Get zeropoint zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm = standard_zeropoint( - wave, Nlam_star, Nlam_ivar_star, mask_bad, flux_true, mask_balm=mask_balm, + wave, Nlam_star, Nlam_ivar_star, mask_bad, flux_true, mask_recomb=mask_recomb, mask_tell=mask_tell, maxiter=35, upper=3, lower=3, polyorder=polyorder, balm_mask_wid=balm_mask_wid, nresln=nresln, resolution=resolution, polycorrect=polycorrect, polyfunc=polyfunc, debug=debug) @@ -1335,7 +1335,7 @@ def zeropoint_qa_plot(wave, zeropoint_data, zeropoint_data_gpm, zeropoint_fit, z -def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=None, mask_tell=None, +def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_recomb=None, mask_tell=None, maxiter=35, upper=3.0, lower=3.0, func = 'polynomial', polyorder=5, balm_mask_wid=50., nresln=20., resolution=2700., polycorrect=True, debug=False, polyfunc=False): """ @@ -1353,8 +1353,8 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non mask for bad pixels. True is good. flam_true : Quantity array standard star true flux (erg/s/cm^2/A) - mask_balm: `numpy.ndarray`_ - mask for hydrogen recombination lines. True is good. + mask_recomb: `numpy.ndarray`_ + mask for hydrogen (and/or helium II) recombination lines. True is good. mask_tell: `numpy.ndarray`_ mask for telluric regions. True is good. maxiter : integer @@ -1369,6 +1369,8 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non in units of angstrom Mask parameter for Balmer absorption. A region equal to balm_mask_wid is masked. + nresln: integer/float + number of resolution elements between breakpoints resolution: integer/float. spectra resolution This paramters should be removed in the future. The resolution should be estimated from spectra directly. @@ -1393,12 +1395,12 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non # check masks if mask_tell is None: mask_tell = np.ones_like(wave,dtype=bool) - if mask_balm is None: - mask_balm = np.ones_like(wave, dtype=bool) + if mask_recomb is None: + mask_recomb = np.ones_like(wave, dtype=bool) zeropoint_data, zeropoint_data_gpm = compute_zeropoint(wave, Nlam, Nlam_gpm, flam_true) - zeropoint_fitmask = zeropoint_data_gpm & mask_tell & mask_balm + zeropoint_fitmask = zeropoint_data_gpm & mask_tell & mask_recomb wave_min = wave[wave > 1.0].min() wave_max = wave[wave > 1.0].max() @@ -1456,6 +1458,7 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_balm=Non nresln = std_res / std_pix # Output some helpful information for double-checking input params are correct + msgs.test(f" This is the passed-in R: {resolution}") msgs.info(f" This is the standard pixel: {std_pix:.2f} Ã…") msgs.info(f" This is the standard resolution element: {std_res:.2f} Ã…") msgs.info(f" Breakpoint spacing: {std_res * nresln:.2f} pixels") diff --git a/pypeit/scripts/sensfunc.py b/pypeit/scripts/sensfunc.py index fc1c1570f1..725917b340 100644 --- a/pypeit/scripts/sensfunc.py +++ b/pypeit/scripts/sensfunc.py @@ -106,7 +106,7 @@ def main(args): # Determine the spectrograph header = fits.getheader(args.spec1dfile) spectrograph = load_spectrograph(header['PYP_SPEC']) - spectrograph_def_par = spectrograph.default_pypeit_par() + spectrograph_config_par = spectrograph.config_specific_par(header) # Construct a primary FITS header that includes the spectrograph's # config keys for inclusion in the output sensfunc file @@ -124,10 +124,10 @@ def main(args): if args.sens_file is not None: sensFile = inputfiles.SensFile.from_file(args.sens_file) # Read sens file - par = pypeitpar.PypeItPar.from_cfg_lines(cfg_lines=spectrograph_def_par.to_config(), + par = pypeitpar.PypeItPar.from_cfg_lines(cfg_lines=spectrograph_config_par.to_config(), merge_with=(sensFile.cfg_lines,)) else: - par = spectrograph_def_par + par = spectrograph_config_par # If algorithm was provided override defaults. Note this does undo .sens # file since they cannot both be passed diff --git a/pypeit/sensfunc.py b/pypeit/sensfunc.py index c65d642389..74ba3b516c 100644 --- a/pypeit/sensfunc.py +++ b/pypeit/sensfunc.py @@ -8,8 +8,8 @@ from IPython import embed import numpy as np -import scipy -from matplotlib import pyplot as plt +import scipy.interpolate +import matplotlib.pyplot as plt from matplotlib.backends.backend_pdf import PdfPages from astropy.io import fits diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 11f3dcefbf..b38b232f3c 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -188,7 +188,7 @@ def default_pypeit_par(cls): par['rdx']['spectrograph'] = cls.name return par - def config_specific_par(self, scifile, inp_par=None): + def config_specific_par(self, scifile, inp_par=None, config=None): """ Modify the ``PypeIt`` parameters to hard-wired values used for specific instrument configurations. @@ -200,6 +200,10 @@ def config_specific_par(self, scifile, inp_par=None): inp_par (:class:`~pypeit.par.parset.ParSet`, optional): Parameter set used for the full run of PypeIt. If None, use :func:`default_pypeit_par`. + config (:obj:`dict`): + A dictionary of configuration-specific keys and their + values, used to produce config-specific parameter sets + from, `e.g.`, ``spec1d`` files. Returns: :class:`~pypeit.par.parset.ParSet`: The PypeIt parameter set @@ -377,7 +381,7 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, subheader[key] = row_fitstbl[key] # The following are pulled from the original header, if available - header_cards = ['INSTRUME', 'DETECTOR', 'DATE-OBS'] + header_cards = ['INSTRUME', 'DETECTOR', 'DATE-OBS'] + self.raw_header_cards() if extra_header_cards is not None: header_cards += extra_header_cards # For specDB and more for card in header_cards: @@ -698,6 +702,23 @@ def configuration_keys(self): object. """ return ['dispname', 'dichroic', 'decker'] + + def raw_header_cards(self): + """ + Return additional raw header cards that should be propagated in + the output files + + In general, these should be the FITS keywords used to construct the + :meth:`~pypeit.spectrograph.Spectrograph.compound_meta` metadata keys. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return [] def modify_config(self, fitstbl, cfg): """ From 5540669077ba35a199fae20018ec4ae851c64038 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 27 Mar 2023 16:30:09 -0700 Subject: [PATCH 115/308] Last catches --- pypeit/scripts/sensfunc.py | 2 +- pypeit/spectrographs/spectrograph.py | 6 +----- 2 files changed, 2 insertions(+), 6 deletions(-) diff --git a/pypeit/scripts/sensfunc.py b/pypeit/scripts/sensfunc.py index 725917b340..9974aa1c7f 100644 --- a/pypeit/scripts/sensfunc.py +++ b/pypeit/scripts/sensfunc.py @@ -113,7 +113,7 @@ def main(args): primary_hdr = io.initialize_header() add_keys = ( ['PYP_SPEC', 'DATE-OBS', 'TELESCOP', 'INSTRUME', 'DETECTOR'] - + spectrograph.configuration_keys() + + spectrograph.configuration_keys() + spectrograph.raw_header_cards() ) for key in add_keys: if key.upper() in header.keys(): diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index b38b232f3c..e10ee2a914 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -188,7 +188,7 @@ def default_pypeit_par(cls): par['rdx']['spectrograph'] = cls.name return par - def config_specific_par(self, scifile, inp_par=None, config=None): + def config_specific_par(self, scifile, inp_par=None): """ Modify the ``PypeIt`` parameters to hard-wired values used for specific instrument configurations. @@ -200,10 +200,6 @@ def config_specific_par(self, scifile, inp_par=None, config=None): inp_par (:class:`~pypeit.par.parset.ParSet`, optional): Parameter set used for the full run of PypeIt. If None, use :func:`default_pypeit_par`. - config (:obj:`dict`): - A dictionary of configuration-specific keys and their - values, used to produce config-specific parameter sets - from, `e.g.`, ``spec1d`` files. Returns: :class:`~pypeit.par.parset.ParSet`: The PypeIt parameter set From 199eaebac2b77f5f8166e33f9f07c79507e4ffbb Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 27 Mar 2023 18:21:50 -1000 Subject: [PATCH 116/308] update docs --- doc/include/keck_nires_A.pypeit.rst | 14 +++++++------- doc/include/keck_nires_A_corrected.pypeit.rst | 6 +++--- doc/tutorials/nires_howto.rst | 6 +++--- 3 files changed, 13 insertions(+), 13 deletions(-) diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 3b8729dad6..0fa6449fea 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,21 +1,21 @@ .. code-block:: console - # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-21T16:11:04.477 - + # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev118+g6905096d0 + # UTC 2023-03-25T04:05:16.591 + # User-defined execution parameters [rdx] spectrograph = keck_nires - + # Setup setup read Setup A: dispname: spec setup end - - # Data block + + # Data block data read - path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES + path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 diff --git a/doc/include/keck_nires_A_corrected.pypeit.rst b/doc/include/keck_nires_A_corrected.pypeit.rst index daacb7b0ee..0b92e2d386 100644 --- a/doc/include/keck_nires_A_corrected.pypeit.rst +++ b/doc/include/keck_nires_A_corrected.pypeit.rst @@ -15,12 +15,12 @@ # Data block data read - path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES + path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id s190519_0059.fits | standard | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 s190519_0060.fits | standard | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 - s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 2 | 3 | 4 - s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 2 | 4 | 3 + s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 1 | 3 | 4 + s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 1 | 4 | 3 s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 diff --git a/doc/tutorials/nires_howto.rst b/doc/tutorials/nires_howto.rst index fdb27826e9..579f9c8b5b 100644 --- a/doc/tutorials/nires_howto.rst +++ b/doc/tutorials/nires_howto.rst @@ -11,7 +11,7 @@ Overview ======== This doc goes through a full run of PypeIt on one of our example Keck/NIRES -datasets (specifically the ``NIRES`` dataset). If you're having trouble +datasets (specifically the ``ABBA_wstandard`` dataset). If you're having trouble reducing your data, we encourage you to try going through this tutorial using this example dataset first. See :ref:`here ` to find the example dataset, please join our `PypeIt Users Slack `__ (using @@ -29,7 +29,7 @@ Before reducing your data with PypeIt, you first have to prepare a .. code-block:: bash - pypeit_setup -r $HOME/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES/ -s keck_nires -b -c A + pypeit_setup -r $HOME/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard/ -s keck_nires -b -c A where the ``-r`` argument should be replaced by your local directory and the ``-b`` indicates that the data uses background images and should include the @@ -55,7 +55,7 @@ pointings, however, you need to edit the pypeit file to correct the other errors. The corrections needed are: - Set the frametypes for ``s190519_0059.fits`` and ``s190519_0060.fits`` to - ``standard`` . + ``standard``. - Assign the same calibration group to the standard and science frames (i.e., same ``calib`` value). From 0b44ab07aee636d8d23b9d7c8f037646d7729dba Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 27 Mar 2023 18:22:34 -1000 Subject: [PATCH 117/308] add mask to spec1d s2n calculation --- pypeit/specobj.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/specobj.py b/pypeit/specobj.py index d83ffabc63..910214396f 100644 --- a/pypeit/specobj.py +++ b/pypeit/specobj.py @@ -344,7 +344,8 @@ def med_s2n(self): SN = 0. for pref in ['OPT', 'BOX']: if self[pref+'_COUNTS'] is not None: - SN = np.median(self[pref+'_COUNTS'] * np.sqrt(self[pref+'_COUNTS_IVAR'])) + SN = np.median(self[pref+'_COUNTS'][self[pref+'_MASK']] * + np.sqrt(self[pref+'_COUNTS_IVAR'][self[pref+'_MASK']])) if SN != 0.: break return SN From 2ff020e73824b7420ba7c0b8039a44339818182d Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 27 Mar 2023 18:26:52 -1000 Subject: [PATCH 118/308] added cooked in pypeit/tests/files --- pypeit/tests/files/spec1d_b27.fits | 2064 ++++--- pypeit/tests/files/spec1d_b28.fits | 2051 ++++--- ...S0216-pisco_GNIRS_20170331T085412.181.fits | 4925 +++++++++------- ...S0217-pisco_GNIRS_20170331T085933.097.fits | 5212 ++++++++++------- ...S0220-pisco_GNIRS_20170331T091538.731.fits | 5066 +++++++++------- ...S0221-pisco_GNIRS_20170331T092059.597.fits | 5130 +++++++++------- ...-J0025-0312_KASTr_20150123T025323.850.fits | 987 ++-- 7 files changed, 14679 insertions(+), 10756 deletions(-) diff --git a/pypeit/tests/files/spec1d_b27.fits b/pypeit/tests/files/spec1d_b27.fits index b6495a372e..2a206ea04b 100644 --- a/pypeit/tests/files/spec1d_b27.fits +++ b/pypeit/tests/files/spec1d_b27.fits @@ -1,874 +1,1194 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 184.4029166666666 / (J2000) RA in decimal degrees DEC = 39.01111111111111 / (J2000) DEC in decimal degrees TARGET = 'J1217p3905' / Name of the target DISPNAME= '600/4310' / Disperser name DECKER = '2.0 arcsec' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57162.20663842592 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.0 / Airmass EXPTIME = 1200.0 / Exposure time (s) FILENAME= 'b27.fits.gz' PYPELINE= 'MultiSlit' PYP_SPEC= 'shane_kast_blue' / PypeIt: Spectrograph name TELESCOP= 'SHANE ' / Telescope LON-OBS = -121.6366666666667 / Telescope longitude LAT-OBS = 37.34333333333334 / Telescope latitute ALT-OBS = 1290.000000001676 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'SPAT0176-SLIT0175-DET01' NSPEC = 1 HISTORY 2023-03-13T18:35 PypeIt Reducing target J1217p3905 HISTORY Combining frames: HISTORY "b27.fits.gz" HISTORY Calibration frames: HISTORY arc,tilt "b1.fits.gz" HISTORY bias "b14.fits.gz" HISTORY bias "b15.fits.gz" HISTORY bias "b16.fits.gz" HISTORY bias "b17.fits.gz" HISTORY bias "b18.fits.gz" HISTORY bias "b19.fits.gz" HISTORY bias "b20.fits.gz" HISTORY bias "b21.fits.gz" HISTORY bias "b22.fits.gz" HISTORY bias "b23.fits.gz" HISTORY pixelflat,illumflat,trace "b10.fits.gz" HISTORY pixelflat,illumflat,trace "b11.fits.gz" HISTORY pixelflat,illumflat,trace "b12.fits.gz" HISTORY pixelflat,illumflat,trace "b13.fits.gz" HISTORY pixelflat,illumflat,trace "b2.fits.gz" HISTORY pixelflat,illumflat,trace "b3.fits.gz" HISTORY pixelflat,illumflat,trace "b4.fits.gz" HISTORY pixelflat,illumflat,trace "b5.fits.gz" HISTORY pixelflat,illumflat,trace "b6.fits.gz" HISTORY pixelflat,illumflat,trace "b7.fits.gz" HISTORY pixelflat,illumflat,trace "b8.fits.gz" HISTORY pixelflat,illumflat,trace "b9.fits.gz" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 2048 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 5.144075051219829 HIERARCH SMASH_PEAKFLUX = 28.72665836734511 HIERARCH SMASH_SNR = 142.4826542639451 HIERARCH BOX_RADIUS = 3.488372093023256 S2N = 9.30775559674133 HIERARCH FLEX_SHIFT_GLOBAL = -0.0350802033680111 HIERARCH FLEX_SHIFT_LOCAL = -0.00335780681371034 HIERARCH FLEX_SHIFT_TOTAL = -0.03843801018172144 VEL_TYPE= 'heliocentric' VEL_CORR= 0.9999251762866389 DET = 'DET01 ' PYPELINE= 'MultiSlit' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 175.5455196443945 HIERARCH SPAT_FRACPOS = 0.5016385233986884 HIERARCH MASKWIDTH = 47.24374325910696 WAVE_RMS= 0.01597034029998767 SLITID = 175 OBJID = 1 NAME = 'SPAT0176-SLIT0175-DET01' HIERARCH HAND_EXTRACT_FLAG = F TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_COUNTS' TFORM4 = '1D ' TTYPE5 = 'OPT_COUNTS_IVAR' TFORM5 = '1D ' TTYPE6 = 'OPT_COUNTS_SIG' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS_NIVAR' TFORM7 = '1D ' TTYPE8 = 'OPT_MASK' TFORM8 = '1L ' TTYPE9 = 'OPT_COUNTS_SKY' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_SIG_DET' TFORM10 = '1D ' TTYPE11 = 'OPT_FRAC_USE' TFORM11 = '1D ' TTYPE12 = 'OPT_CHI2' TFORM12 = '1D ' TTYPE13 = 'BOX_NPIX' TFORM13 = '1D ' TTYPE14 = 'BOX_WAVE' TFORM14 = '1D ' TTYPE15 = 'BOX_COUNTS' TFORM15 = '1D ' TTYPE16 = 'BOX_COUNTS_IVAR' TFORM16 = '1D ' TTYPE17 = 'BOX_COUNTS_SIG' TFORM17 = '1D ' TTYPE18 = 'BOX_COUNTS_NIVAR' TFORM18 = '1D ' TTYPE19 = 'BOX_MASK' TFORM19 = 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'3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created RA = 184.4029166666666 DEC = 39.01111111111111 TARGET = 'J1217p3905' DISPNAME= '600/4310' DECKER = '2.0 arcsec' BINNING = '1,1 ' MJD = 57162.20663842592 AIRMASS = 1.0 EXPTIME = 1200.0 FILENAME= 'b27.fits.gz' PYPELINE= 'MultiSlit' PYP_SPEC= 'shane_kast_blue' TELESCOP= 'SHANE ' LON-OBS = -121.6366666666667 LAT-OBS = 37.34333333333334 ALT-OBS = 1290.000000001676 DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'SPAT0176-SLIT0175-DET01' NSPEC = 1 HISTORY 2023-03-26T05:28 PypeIt Reducing target J1217p3905 HISTORY Combining frames: HISTORY "b27.fits.gz" HISTORY Calibration frames: HISTORY arc,tilt "b1.fits.gz" HISTORY bias "b14.fits.gz" HISTORY bias "b15.fits.gz" HISTORY bias "b16.fits.gz" HISTORY bias "b17.fits.gz" HISTORY bias "b18.fits.gz" HISTORY bias "b19.fits.gz" HISTORY bias "b20.fits.gz" HISTORY bias "b21.fits.gz" HISTORY bias "b22.fits.gz" HISTORY bias "b23.fits.gz" HISTORY pixelflat,illumflat,trace "b10.fits.gz" HISTORY pixelflat,illumflat,trace "b11.fits.gz" HISTORY pixelflat,illumflat,trace "b12.fits.gz" HISTORY pixelflat,illumflat,trace "b13.fits.gz" HISTORY pixelflat,illumflat,trace "b2.fits.gz" HISTORY pixelflat,illumflat,trace "b3.fits.gz" HISTORY pixelflat,illumflat,trace "b4.fits.gz" HISTORY pixelflat,illumflat,trace "b5.fits.gz" HISTORY pixelflat,illumflat,trace "b6.fits.gz" HISTORY pixelflat,illumflat,trace "b7.fits.gz" HISTORY pixelflat,illumflat,trace "b8.fits.gz" HISTORY pixelflat,illumflat,trace "b9.fits.gz" HISTORY 2023-03-26T05:29 PypeIt Flux calibration "sens_b24-Feige66_KASTb_2015052HISTORY 0T041246.960.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 210 / length of dimension 1 NAXIS2 = 2048 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 28 / number of table fields VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.8 ' / Datamodel version FWHM = 5.14407504547981 HIERARCH SMASH_PEAKFLUX = 28.72665836733424 HIERARCH SMASH_SNR = 142.4826542638947 HIERARCH BOX_RADIUS = 3.488372093023256 S2N = 9.30775559583001 HIERARCH FLEX_SHIFT_GLOBAL = -0.03508019615173907 HIERARCH FLEX_SHIFT_LOCAL = -0.00335780679517938 HIERARCH FLEX_SHIFT_TOTAL = -0.03843800294691846 VEL_TYPE= 'heliocentric' VEL_CORR= 0.9999251762866389 DET = 'DET01 ' PYPELINE= 'MultiSlit' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 175.5455196388066 HIERARCH SPAT_FRACPOS = 0.5016385233987075 HIERARCH MASKWIDTH = 47.24374325908572 WAVE_RMS= 0.01597034032862317 SLITID = 175 OBJID = 1 NAME = 'SPAT0176-SLIT0175-DET01' HIERARCH HAND_EXTRACT_FLAG = F TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_FLAM' TFORM4 = '1D ' TTYPE5 = 'OPT_FLAM_SIG' TFORM5 = '1D ' TTYPE6 = 'OPT_FLAM_IVAR' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS' TFORM7 = '1D ' TTYPE8 = 'OPT_COUNTS_IVAR' TFORM8 = '1D ' TTYPE9 = 'OPT_COUNTS_SIG' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_NIVAR' TFORM10 = '1D ' TTYPE11 = 'OPT_MASK' TFORM11 = '1L ' TTYPE12 = 'OPT_COUNTS_SKY' TFORM12 = '1D ' TTYPE13 = 'OPT_COUNTS_SIG_DET' TFORM13 = '1D ' TTYPE14 = 'OPT_FRAC_USE' TFORM14 = '1D ' TTYPE15 = 'OPT_CHI2' TFORM15 = '1D ' TTYPE16 = 'BOX_NPIX' TFORM16 = '1D ' TTYPE17 = 'BOX_WAVE' TFORM17 = '1D ' TTYPE18 = 'BOX_FLAM' TFORM18 = '1D ' TTYPE19 = 'BOX_FLAM_SIG' TFORM19 = '1D ' TTYPE20 = 'BOX_FLAM_IVAR' TFORM20 = '1D ' TTYPE21 = 'BOX_COUNTS' TFORM21 = '1D ' TTYPE22 = 'BOX_COUNTS_IVAR' TFORM22 = '1D ' TTYPE23 = 'BOX_COUNTS_SIG' TFORM23 = '1D ' TTYPE24 = 'BOX_COUNTS_NIVAR' TFORM24 = '1D ' TTYPE25 = 'BOX_MASK' TFORM25 = '1L ' TTYPE26 = 'BOX_COUNTS_SKY' TFORM26 = '1D ' TTYPE27 = 'BOX_COUNTS_SIG_DET' TFORM27 = '1D ' TTYPE28 = 'trace_spec' TFORM28 = '1K ' EXTNAME = 'SPAT0176-SLIT0175-DET01' / extension name END @fIBþ§ÞN@uðfÃÃ@ªÈ1Ñ|Íç@,±–©‚u@0Úªþ€?”±Åt@ÝßìLjn?s ¹;7Èå@-S®€U0™?t+ÅŸ˜VäT@QÙUÙ@'F7Z#ÛÖ?ï’G ͧì?ÞëÛØ@è/ ¾‚ú@ªÈ1Þ¶5@2ÕG¼jg@‹"L|²„?™Y‰ˆ@ä/`Ú$B?w4'Ÿ'’ë@*’‰øµ½+?xgµ—?ºúT@L—‘qòI@%#ŒÈ…‡²@fI-ýñÒ´@uu­$@ªÉøvA€V@(B\×D&@gØÐÓö?”O7û즺@9Y'ƒ§²½?rš¶(ì@-­†áÌõ¸?syJ{mãT@R:”EWåu@'xqíÍE°?ï’>CzX?ê©ð•Xà@è/ ¾‚ú@ªÉø‚¨ao@&€¸†²™@¼–ðBEã?˜¼4Pvè)@7ƒ:­ E/?v§ûø´÷í@*ä?ó|n?w˜y‡œðŸT@NqdŒªy@%KÎî• 1@fIûЩ­@u3ëGj@ªË¿5ºC£@›Š©€@²÷oñ½B?’“@æ‚Ɉ@0eZŠ]ñ?pÝcpmüå@/+39 ¥å?rÌ|›¸üŸT@Rr×MB?t@'꺘ù®Â?ï’4õ­ØÀ?ñE8Åñƒ @è/ ¾‚ú@ªË¿>ú»@òDçœ@å º‚‹?–¦ ‰hÊ”@%ûRMv:?tÞ[¾Sæ@,9£e¶Œ?v¤ÑWœÞT@NÐ@¾#é@%Ç4Úòkó@fIà•Fê@uç@ªÍ†#åº7¿ñ¬Q0@ü@ @ÚÝèl?‘+/8²JÀ í˜G¯€?nšL Â's@0\véÎ÷y?qêwM 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ž¶JH?þúñ1qÁ¾?ÑÀçùö@^ŽXnEŽ¹?ch5}Zœ¨@4‹ ¨Â¼š?o"Èq«HT@aÑç÷ÏN5@%Êqña&Oû@e¤•6é&@ŸTä™ÿ@µˆP @4¼n§¯FÐ@iäÍ,?Ëí\\é“@k|1MPU|?^Àó^G—v@7ÓI†ƒ]?idXSûßT@f§ªÇ9@'ÔpE ?æÞr¾?â)tyœô@è/ ¾‚ú@µˆW²Â@1Û†[¬p?ÿEíh±¤?ÐÁnø\M@g«'a¨Ä?cü@«‡Ö@4¹SßVæø?n¯ŽÐT@bË|–S©@%Ø_Â4Lü@e¤ƒÏ¡ëÊ@"á-D@µ‰ ƒÚÛ&@2~œê:Ô–@¬éPç¯?Ê8•NÌ#™@h',"Oê?]äU/ä}a@7ier·^Š?hn†‡XÄT@gyëL²Ö@'ç6q w?èÂmN?ë"¿Ð{@è/ ¾‚ú@µ‰ ‹å¬×@/Èx ÙBÖ?ÿ¾úh̯)?ÐAÍã‘ñ.@e @óÿ‹?bˆèZcæ @5÷“è c?lýê—ç’T@cö,Ò.0@%çUlIãý@e¤r\‡Ô9@¡þÌßú@µŠ:ºù–¸@-š®ÞPJ@è:ìˆ*?É‹ÿÁVn@c—È¥þÓ?]*)`ãçß@7³¨ésT£?h–‰ÍòT@h9§á™@'ÐœùÍéÛ?Cj,Î?îîœ hÞ»@è/ ¾‚ú@µŠ:ƒë¿@(óËœIZÌ@ÝM[o~?Ï¥MbÙŸ}@`ƒ8V³t?b¼âk“@5Kq +dc?lˆ³)¿ÄT@d™3+ÛÞZ@%Ý°~gUôþ@e¤`웘¬@!§±ö@µ‹TôUe@4ÜÌ&Úv@´Âù?É>sÉ@k˜ £HÁ?\¯CZ)@7æ9tl&¹?h̓ï[´ÉT@g}IéyK@'¤“W_‰?ƒ¹E?ðÜ^ ¬Ë@è/ ¾‚ú@µ‹TûœKC@2C¬ÝëÚ½@8B€nd?Ï$c3ÿ²k@h(a“Ç?aÍ™Áv +è@5srgDR+?mT·;îc8T@cúI˜T,“@%·V×·ÐLÿXTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 189 / length of dimension 1 NAXIS2 = 1 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 19 / number of table fields NAME = 'DET01 ' VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'xgap ' TFORM5 = 'D ' TTYPE6 = 'ygap ' TFORM6 = 'D ' TTYPE7 = 'ysize ' TFORM7 = 'D ' TTYPE8 = 'platescale' TFORM8 = 'D ' TTYPE9 = 'darkcurr' TFORM9 = 'D ' TTYPE10 = 'saturation' TFORM10 = 'D ' TTYPE11 = 'mincounts' TFORM11 = 'D ' TTYPE12 = 'nonlinear' TFORM12 = 'D ' TTYPE13 = 'numamplifiers' TFORM13 = 'K ' TTYPE14 = 'gain ' TFORM14 = '2D ' TDIM14 = '(2) ' TTYPE15 = 'ronoise ' TFORM15 = '2D ' TDIM15 = '(2) ' TTYPE16 = 'datasec ' TFORM16 = '28A ' TDIM16 = '(14,2) ' TTYPE17 = 'oscansec' TFORM17 = '28A ' TDIM17 = '(14,2) ' TTYPE18 = 'det ' TFORM18 = 'K ' TTYPE19 = 'binning ' TFORM19 = '3A ' END FF?ð?Û…¸Që…@ïÿà _ ?èQë…¸R?ó333333?ó333333@ ™™™™™š@ ™™™™™š[:, 1:1024][:, 1025:2048][:, 2050:2080][:, 2081:2111]1,1 \ No newline at end of file diff --git a/pypeit/tests/files/spec1d_b28.fits b/pypeit/tests/files/spec1d_b28.fits index 05d9b47981..f47a1e5114 100644 --- a/pypeit/tests/files/spec1d_b28.fits +++ b/pypeit/tests/files/spec1d_b28.fits @@ -1,871 +1,1184 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 184.4041666666666 / (J2000) RA in decimal degrees DEC = 39.01111111111111 / (J2000) DEC in decimal degrees TARGET = 'J1217p3905' / Name of the target DISPNAME= '600/4310' / Disperser name DECKER = '2.0 arcsec' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57162.22085034722 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.0 / Airmass EXPTIME = 1200.0 / Exposure time (s) FILENAME= 'b28.fits.gz' PYPELINE= 'MultiSlit' PYP_SPEC= 'shane_kast_blue' / PypeIt: Spectrograph name TELESCOP= 'SHANE ' / Telescope LON-OBS = -121.6366666666667 / Telescope longitude LAT-OBS = 37.34333333333334 / Telescope latitute ALT-OBS = 1290.000000001676 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'SPAT0175-SLIT0175-DET01' NSPEC = 1 HISTORY 2023-03-13T18:36 PypeIt Reducing target J1217p3905 HISTORY Combining frames: HISTORY "b28.fits.gz" HISTORY Calibration frames: HISTORY arc,tilt "b1.fits.gz" HISTORY bias "b14.fits.gz" HISTORY bias "b15.fits.gz" HISTORY bias "b16.fits.gz" HISTORY bias "b17.fits.gz" HISTORY bias "b18.fits.gz" HISTORY bias "b19.fits.gz" HISTORY bias "b20.fits.gz" HISTORY bias "b21.fits.gz" HISTORY bias "b22.fits.gz" HISTORY bias "b23.fits.gz" HISTORY pixelflat,illumflat,trace "b10.fits.gz" HISTORY pixelflat,illumflat,trace "b11.fits.gz" HISTORY pixelflat,illumflat,trace "b12.fits.gz" HISTORY pixelflat,illumflat,trace "b13.fits.gz" HISTORY pixelflat,illumflat,trace "b2.fits.gz" HISTORY pixelflat,illumflat,trace "b3.fits.gz" HISTORY pixelflat,illumflat,trace "b4.fits.gz" HISTORY pixelflat,illumflat,trace "b5.fits.gz" HISTORY pixelflat,illumflat,trace "b6.fits.gz" HISTORY pixelflat,illumflat,trace "b7.fits.gz" HISTORY pixelflat,illumflat,trace "b8.fits.gz" HISTORY pixelflat,illumflat,trace "b9.fits.gz" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 2048 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 5.089655520850172 HIERARCH SMASH_PEAKFLUX = 30.30010849585937 HIERARCH SMASH_SNR = 152.744734368522 HIERARCH BOX_RADIUS = 3.488372093023256 S2N = 10.05187888216737 HIERARCH FLEX_SHIFT_GLOBAL = -0.1115081999313361 HIERARCH FLEX_SHIFT_LOCAL = -0.00653174531441891 HIERARCH FLEX_SHIFT_TOTAL = -0.118039945245755 VEL_TYPE= 'heliocentric' VEL_CORR= 0.9999250865321343 DET = 'DET01 ' PYPELINE= 'MultiSlit' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 175.1629366055131 HIERARCH SPAT_FRACPOS = 0.5005247426303276 HIERARCH MASKWIDTH = 47.18658128598906 WAVE_RMS= 0.01597034029998767 SLITID = 175 OBJID = 1 NAME = 'SPAT0175-SLIT0175-DET01' HIERARCH HAND_EXTRACT_FLAG = F TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_COUNTS' TFORM4 = '1D ' TTYPE5 = 'OPT_COUNTS_IVAR' TFORM5 = '1D ' TTYPE6 = 'OPT_COUNTS_SIG' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS_NIVAR' TFORM7 = '1D ' TTYPE8 = 'OPT_MASK' TFORM8 = '1L ' TTYPE9 = 'OPT_COUNTS_SKY' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_SIG_DET' TFORM10 = '1D ' TTYPE11 = 'OPT_FRAC_USE' TFORM11 = '1D ' TTYPE12 = 'OPT_CHI2' TFORM12 = '1D ' TTYPE13 = 'BOX_NPIX' TFORM13 = '1D ' TTYPE14 = 'BOX_WAVE' TFORM14 = '1D ' TTYPE15 = 'BOX_COUNTS' TFORM15 = '1D ' TTYPE16 = 'BOX_COUNTS_IVAR' TFORM16 = '1D ' TTYPE17 = 'BOX_COUNTS_SIG' TFORM17 = '1D ' TTYPE18 = 'BOX_COUNTS_NIVAR' TFORM18 = '1D ' TTYPE19 = 'BOX_MASK' TFORM19 = '1L ' TTYPE20 = 'BOX_COUNTS_SKY' TFORM20 = '1D ' TTYPE21 = 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Û?Éß ¡šœM@i“Í&‰?]ˆ“½Ä”E@7§œ™?iiŸG$NZT@eÞEg§E®@'÷P_²î?î‡ë‹ò™?ðá[¤ð!‘@è/ ¾‚ú@µŠ$5Z‘I@0«µ«>„i?ÿÜÒã´Ò?Ð#gǪ¥@fÚœ X?bkÞÑÅÒŒ@5‚Ð í8?nmAº©1eT@bdZ©ˆŠ6@%߀­øÓWþ@e¡YÁ +h@¡éЯ„>@µ‹>nô„ƒ@4”Õ›[b›@ÿvÄ™t6?ÉJ2•¯¹„@k9Z–Q?\è{wT@7ΆßDÔ?in gôT@fBå1€™Ï@'Ê$BW!?«¿¿m?á¤T,«a©@è/ ¾‚ú@µ‹>n3)Ü@1 †½Ñ§@e“Fz?Ï“€¬Â¸¡@f‰-AÛÌ?b Òà¨n@5N1STù?no¨kÎß­T@b¸¤ÜeVŸ@%·Äü•òðÿXTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 189 / length of dimension 1 NAXIS2 = 1 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 19 / number of table fields NAME = 'DET01 ' VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'xgap ' TFORM5 = 'D ' TTYPE6 = 'ygap ' TFORM6 = 'D ' TTYPE7 = 'ysize ' TFORM7 = 'D ' TTYPE8 = 'platescale' TFORM8 = 'D ' TTYPE9 = 'darkcurr' TFORM9 = 'D ' TTYPE10 = 'saturation' TFORM10 = 'D ' TTYPE11 = 'mincounts' TFORM11 = 'D ' TTYPE12 = 'nonlinear' TFORM12 = 'D ' TTYPE13 = 'numamplifiers' TFORM13 = 'K ' TTYPE14 = 'gain ' TFORM14 = '2D ' TDIM14 = '(2) ' TTYPE15 = 'ronoise ' TFORM15 = '2D ' TDIM15 = '(2) ' TTYPE16 = 'datasec ' TFORM16 = '28A ' TDIM16 = '(14,2) ' TTYPE17 = 'oscansec' TFORM17 = '28A ' TDIM17 = '(14,2) ' TTYPE18 = 'det ' TFORM18 = 'K ' TTYPE19 = 'binning ' TFORM19 = '3A ' END FF?ð?Û…¸Që…@ïÿà _ ?èQë…¸R?ó333333?ó333333@ ™™™™™š@ ™™™™™š[:, 1:1024][:, 1025:2048][:, 2050:2080][:, 2081:2111]1,1 \ No newline at end of file diff --git a/pypeit/tests/files/spec1d_cN20170331S0216-pisco_GNIRS_20170331T085412.181.fits b/pypeit/tests/files/spec1d_cN20170331S0216-pisco_GNIRS_20170331T085412.181.fits index 764b8b1987..60908a1ee5 100644 --- a/pypeit/tests/files/spec1d_cN20170331S0216-pisco_GNIRS_20170331T085412.181.fits +++ b/pypeit/tests/files/spec1d_cN20170331S0216-pisco_GNIRS_20170331T085412.181.fits @@ -1,2041 +1,2898 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 205.53380833 / (J2000) RA in decimal degrees DEC = 9.47733611 / (J2000) DEC in decimal degrees TARGET = 'pisco ' / Name of the target DISPNAME= '32/mmSB_G5533' / Disperser name DECKER = 'SCXD_G5531' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57843.3709743134 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.077 / Airmass EXPTIME = 300.0 / Exposure time (s) FILENAME= 'cN20170331S0216.fits' INSTRUME= 'GNIRS ' PYPELINE= 'Echelle ' PYP_SPEC= 'gemini_gnirs' / PypeIt: Spectrograph name TELESCOP= 'GEMINI-N' / Telescope LON-OBS = -155.4690467527778 / Telescope longitude LAT-OBS = 19.82380144722223 / Telescope latitute ALT-OBS = 4213.000000001549 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'OBJ0653-DET01-ORDER0008' EXT0001 = 'OBJ0653-DET01-ORDER0007' EXT0002 = 'OBJ0653-DET01-ORDER0006' EXT0003 = 'OBJ0653-DET01-ORDER0005' EXT0004 = 'OBJ0653-DET01-ORDER0004' EXT0005 = 'OBJ0653-DET01-ORDER0003' NSPEC = 6 HISTORY 2023-03-13T19:13 PypeIt Reducing target pisco HISTORY Combining frames: HISTORY "cN20170331S0216.fits" HISTORY "cN20170331S0219.fits" HISTORY Subtracted background from frames: HISTORY "cN20170331S0217.fits" HISTORY "cN20170331S0218.fits" HISTORY Calibration frames: HISTORY arc,science,tilt "cN20170331S0216.fits" HISTORY arc,science,tilt "cN20170331S0217.fits" HISTORY arc,science,tilt "cN20170331S0218.fits" HISTORY arc,science,tilt "cN20170331S0219.fits" HISTORY pixelflat,trace "cN20170331S0252.fits" HISTORY pixelflat,trace "cN20170331S0253.fits" HISTORY pixelflat,trace "cN20170331S0254.fits" HISTORY pixelflat,trace "cN20170331S0255.fits" HISTORY pixelflat,trace "cN20170331S0256.fits" HISTORY pixelflat,trace "cN20170331S0257.fits" HISTORY pixelflat,trace "cN20170331S0258.fits" HISTORY pixelflat,trace "cN20170331S0259.fits" HISTORY pixelflat,trace "cN20170331S0260.fits" HISTORY pixelflat,trace "cN20170331S0261.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 1022 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 4.415790368917341 HIERARCH SMASH_PEAKFLUX = 9.356116910939102 HIERARCH SMASH_SNR = 17.48988478152659 HIERARCH BOX_RADIUS = 10.0 S2N = 0.0 HIERARCH FLEX_SHIFT_GLOBAL = 0.0 HIERARCH FLEX_SHIFT_LOCAL = 0.0 HIERARCH FLEX_SHIFT_TOTAL = 0.0 VEL_TYPE= 'heliocentric' VEL_CORR= 1.000017886213402 DET = 'DET01 ' PYPELINE= 'Echelle ' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 310.6246626781036 HIERARCH SPAT_FRACPOS = 0.6529659836538748 HIERARCH MASKWIDTH = 24.45627387809569 WAVE_RMS= 0.6600077605364648 SLITID = 303 OBJID = 1 NAME = 'OBJ0653-DET01-ORDER0008' HIERARCH HAND_EXTRACT_FLAG = F HIERARCH ECH_OBJID = 1 HIERARCH ECH_ORDERINDX = 0 HIERARCH ECH_FRACPOS = 0.6529659836538748 HIERARCH ECH_ORDER = 8 ECH_NAME= 'OBJ0653-DET01' TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_COUNTS' TFORM4 = '1D ' TTYPE5 = 'OPT_COUNTS_IVAR' TFORM5 = '1D ' TTYPE6 = 'OPT_COUNTS_SIG' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS_NIVAR' TFORM7 = '1D ' TTYPE8 = 'OPT_MASK' TFORM8 = '1L ' TTYPE9 = 'OPT_COUNTS_SKY' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_SIG_DET' TFORM10 = '1D ' TTYPE11 = 'OPT_FRAC_USE' TFORM11 = '1D ' TTYPE12 = 'OPT_CHI2' TFORM12 = '1D ' TTYPE13 = 'BOX_NPIX' TFORM13 = '1D ' TTYPE14 = 'BOX_WAVE' TFORM14 = '1D ' TTYPE15 = 'BOX_COUNTS' TFORM15 = '1D ' TTYPE16 = 'BOX_COUNTS_IVAR' TFORM16 = '1D ' TTYPE17 = 'BOX_COUNTS_SIG' TFORM17 = '1D ' TTYPE18 = 'BOX_COUNTS_NIVAR' TFORM18 = '1D ' TTYPE19 = 'BOX_MASK' TFORM19 = '1L ' TTYPE20 = 'BOX_COUNTS_SKY' TFORM20 = '1D ' TTYPE21 = 'BOX_COUNTS_SIG_DET' TFORM21 = '1D ' TTYPE22 = 'trace_spec' TFORM22 = '1K ' EXTNAME = 'OBJ0653-DET01-ORDER0008' / extension name END @fˆö1×ìš@©ÄóQ÷ŽFF@f“Z“hœÚ@©ÄóQ÷ŽFF@f¼f0cy@©ÄóQ÷ŽFF@f¨ªÃ@œ@©ÄóQ÷ŽFF@f²xa}4i@©ÄóQ÷ŽFF@f¼ÒŠæ?@©ÄóQ÷ŽFF@fÇ*'†`ž@©ÄóQ÷ŽFF@fÑ7Ñ™S@©ÄóQ÷ŽFF@fÛѼ;éO@©ÄóQ÷ŽFF@fæ!µIP¸@©ÄóQ÷ŽFF @fðo#y϶@©ÄóQ÷ŽFF -@fúº9fo@©ÄóQ÷ŽFF @ga @©ÄóQ÷ŽFF @gH1yÛµ@©ÄóQ÷ŽFF @g‹xîº@©ÄóQ÷ŽFF@g#Ì7ê±Ä@©ÄóQ÷ŽFF@g. -nåÁ}@©ÄóQ÷ŽFF@g8FOéâ@©ÄóQ÷ŽFF@gBFÕ+@©ÄóQ÷ŽFF@gLµèµ…L@©ÄóQ÷ŽFF@gVêø¥@©ÄóQ÷ŽFF@gašÏ…J@©ÄóQ÷ŽFF@gkJ«ù+g@©ÄóQ÷ŽFF@guw8‰ë#@©ÄóQ÷ŽFF@g¡@õÄ¥@©ÄóQ÷ŽFF@g‰ÈÅ°¸@©ÄóQ÷ŽFF@g“íÇVÅ«@©ÄóQ÷ŽFF@gžF?í€@©ÄóQ÷ŽFF@g¨0C/Å@©ÄóQ÷ŽFF@g²M½ÿŒŸ@©ÄóQ÷ŽFF@g¼h·Â=@©ÄóQ÷ŽFF@gÆ0Ï–Ç@©ÄóQ÷ŽFF@gЗ)Dg@©ÄóQ÷ŽFF @gÚª¢| H@©ÄóQ÷ŽFF!@g仜.ñ•@©ÄóQ÷ŽFF"@gîÊñv@©ÄóQ÷ŽFF#@gøÖ‚ @©ÄóQ÷ŽFF$@hß’"D§@©ÄóQ÷ŽFF%@h æ“e˜M@©ÄóQ÷ŽFF&@hëÄ2@©ÄóQ÷ŽFF'@h í±”‡@©ÄóQ÷ŽFF(@h*쫾=s@©ÄóQ÷ŽFF)@h4é¼R#@©ÄóQ÷ŽFF*@h>äQðåÄ@©ÄóQ÷ŽFF+@hHÜm -å@©ÄóQ÷ŽFF,@hRÒ8‚@©ÄóQ÷ŽFF-@h\Å5Ø<ø@©ÄóQ÷ŽFF.@hfµäw•@©ÄóQ÷ŽFF/@hp¤z 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NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created RA = 205.53380833 DEC = 9.47733611 TARGET = 'pisco ' DISPNAME= '32/mmSB_G5533' DECKER = 'SCXD_G5531' BINNING = '1,1 ' MJD = 57843.3709743134 AIRMASS = 1.077 EXPTIME = 300.0 FILENAME= 'cN20170331S0216.fits' INSTRUME= 'GNIRS ' PYPELINE= 'Echelle ' PYP_SPEC= 'gemini_gnirs' TELESCOP= 'GEMINI-N' LON-OBS = -155.4690467527778 LAT-OBS = 19.82380144722223 ALT-OBS = 4213.000000001549 DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'OBJ0653-DET01-ORDER0008' EXT0001 = 'OBJ0653-DET01-ORDER0007' EXT0002 = 'OBJ0653-DET01-ORDER0006' EXT0003 = 'OBJ0653-DET01-ORDER0005' EXT0004 = 'OBJ0653-DET01-ORDER0004' EXT0005 = 'OBJ0653-DET01-ORDER0003' NSPEC = 6 HISTORY 2023-03-26T04:50 PypeIt Reducing target pisco HISTORY Combining frames: HISTORY "cN20170331S0216.fits" HISTORY "cN20170331S0219.fits" HISTORY Subtracted background from frames: HISTORY "cN20170331S0217.fits" HISTORY "cN20170331S0218.fits" HISTORY Calibration frames: HISTORY arc,science,tilt "cN20170331S0216.fits" HISTORY arc,science,tilt "cN20170331S0217.fits" HISTORY arc,science,tilt "cN20170331S0218.fits" HISTORY arc,science,tilt "cN20170331S0219.fits" HISTORY pixelflat,trace "cN20170331S0252.fits" HISTORY pixelflat,trace "cN20170331S0253.fits" HISTORY pixelflat,trace "cN20170331S0254.fits" HISTORY pixelflat,trace "cN20170331S0255.fits" HISTORY pixelflat,trace "cN20170331S0256.fits" HISTORY pixelflat,trace "cN20170331S0257.fits" HISTORY pixelflat,trace "cN20170331S0258.fits" HISTORY pixelflat,trace "cN20170331S0259.fits" HISTORY pixelflat,trace "cN20170331S0260.fits" HISTORY pixelflat,trace "cN20170331S0261.fits" HISTORY 2023-03-26T05:06 PypeIt Flux calibration "sens_cN20170331S0206-HIP62745_HISTORY GNIRS_20170331T083351.681.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 210 / length of dimension 1 NAXIS2 = 1022 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 28 / number of table fields VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.8 ' / Datamodel version FWHM = 4.415789566357549 HIERARCH SMASH_PEAKFLUX = 9.357296554062867 HIERARCH SMASH_SNR = 17.49288676100217 HIERARCH BOX_RADIUS = 10.0 S2N = 0.0 HIERARCH FLEX_SHIFT_GLOBAL = 0.0 HIERARCH FLEX_SHIFT_LOCAL = 0.0 HIERARCH FLEX_SHIFT_TOTAL = 0.0 VEL_TYPE= 'heliocentric' VEL_CORR= 1.000017886213402 DET = 'DET01 ' PYPELINE= 'Echelle ' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 310.6253197071536 HIERARCH SPAT_FRACPOS = 0.6529659666599543 HIERARCH MASKWIDTH = 24.46674802247674 WAVE_RMS= 0.6600077605756561 SLITID = 303 OBJID = 1 NAME = 'OBJ0653-DET01-ORDER0008' HIERARCH HAND_EXTRACT_FLAG = F HIERARCH ECH_OBJID = 1 HIERARCH ECH_ORDERINDX = 0 HIERARCH ECH_FRACPOS = 0.6529659666599543 HIERARCH ECH_ORDER = 8 ECH_NAME= 'OBJ0653-DET01' TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_FLAM' TFORM4 = '1D ' TTYPE5 = 'OPT_FLAM_SIG' TFORM5 = '1D ' TTYPE6 = 'OPT_FLAM_IVAR' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS' TFORM7 = '1D ' TTYPE8 = 'OPT_COUNTS_IVAR' TFORM8 = '1D ' TTYPE9 = 'OPT_COUNTS_SIG' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_NIVAR' TFORM10 = '1D ' TTYPE11 = 'OPT_MASK' TFORM11 = '1L ' TTYPE12 = 'OPT_COUNTS_SKY' TFORM12 = '1D ' TTYPE13 = 'OPT_COUNTS_SIG_DET' TFORM13 = '1D ' TTYPE14 = 'OPT_FRAC_USE' TFORM14 = '1D ' TTYPE15 = 'OPT_CHI2' TFORM15 = '1D ' TTYPE16 = 'BOX_NPIX' TFORM16 = '1D ' TTYPE17 = 'BOX_WAVE' TFORM17 = '1D ' TTYPE18 = 'BOX_FLAM' TFORM18 = '1D ' TTYPE19 = 'BOX_FLAM_SIG' TFORM19 = '1D ' TTYPE20 = 'BOX_FLAM_IVAR' TFORM20 = '1D ' TTYPE21 = 'BOX_COUNTS' TFORM21 = '1D ' TTYPE22 = 'BOX_COUNTS_IVAR' TFORM22 = '1D ' TTYPE23 = 'BOX_COUNTS_SIG' TFORM23 = '1D ' TTYPE24 = 'BOX_COUNTS_NIVAR' TFORM24 = '1D ' TTYPE25 = 'BOX_MASK' TFORM25 = '1L ' TTYPE26 = 'BOX_COUNTS_SKY' TFORM26 = '1D ' TTYPE27 = 'BOX_COUNTS_SIG_DET' TFORM27 = '1D ' TTYPE28 = 'trace_spec' TFORM28 = '1K ' EXTNAME = 'OBJ0653-DET01-ORDER0008' / extension name END @fˆû“Ð(%@©Ä½vCFF@f“_õLÜ@©Ä½vCFF@fÁÈ$¦g@©Ä½vCFF@f¨! «‡<@©Ä½vCFF@f²}ÃY~»@©Ä½vCFF@f¼×ìÎ @©Ä½vCFF@fÇ/‰v²T@©Ä½vCFF@fÑ„™¹î¼@©Ä½vCFF@fÛ×(Bj@©Ä½vCFF@fæ'9­…@©Ä½vCFF @fðt…j06@©Ä½vCFF +@fú¿i)Ê¡@©Ä½vCFF @gÃ|ò@©Ä½vCFF @gM“rGL@©Ä½vCFF @gÚÏ)Ù@©Ä½vCFF@g#Ñ™Ó$Ä@©Ä½vCFF@g.ÐÎ80@©Ä½vCFF@g8K€DdF@©Ä½vCFF@gB„¨½©1@©Ä½vCFF@gL»Jž@©Ä½vCFF@gVïfy~$@©Ä½vCFF@ga 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VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'platescale' TFORM5 = 'D ' TTYPE6 = 'darkcurr' TFORM6 = 'D ' TTYPE7 = 'saturation' TFORM7 = 'D ' TTYPE8 = 'mincounts' TFORM8 = 'D ' TTYPE9 = 'nonlinear' TFORM9 = 'D ' TTYPE10 = 'numamplifiers' TFORM10 = 'K ' TTYPE11 = 'gain ' TFORM11 = 'D ' TDIM11 = '(1) ' TTYPE12 = 'ronoise ' TFORM12 = 'D ' TDIM12 = '(1) ' TTYPE13 = 'datasec ' TFORM13 = '5A ' TDIM13 = '(5,1) ' TTYPE14 = 'det ' TFORM14 = 'K ' TTYPE15 = 'binning ' TFORM15 = '3A ' END TT?Ã333333?Ã333333AO€Â _ ?æ¸Që…¸@+@[:,:]1,1 \ No newline at end of file diff --git a/pypeit/tests/files/spec1d_r153-J0025-0312_KASTr_20150123T025323.850.fits b/pypeit/tests/files/spec1d_r153-J0025-0312_KASTr_20150123T025323.850.fits index 8ffa2443c6..eb3e269601 100644 --- a/pypeit/tests/files/spec1d_r153-J0025-0312_KASTr_20150123T025323.850.fits +++ b/pypeit/tests/files/spec1d_r153-J0025-0312_KASTr_20150123T025323.850.fits @@ -1,501 +1,492 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 6.396666666666667 / (J2000) RA in decimal degrees DEC = -3.099722222222222 / (J2000) DEC in decimal degrees TARGET = 'J0025-0312' / Name of the target DISPNAME= / Disperser name DECKER = '2.0 arcsec' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57045.12041493056 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.649999976158 / Airmass EXPTIME = 200.0 / Exposure time (s) FILENAME= 'r153.fits.gz' PYPELINE= 'MultiSlit' PYP_SPEC= 'shane_kast_red_ret' / PypeIt: Spectrograph name TELESCOP= 'SHANE ' / Telescope LON-OBS = -121.6366666666667 / Telescope longitude LAT-OBS = 37.34333333333334 / Telescope latitute ALT-OBS = 1290.000000001676 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'SPAT0132-SLIT0136-DET01' NSPEC = 1 HISTORY 2023-03-13T19:10 PypeIt Reducing target J0025-0312 HISTORY Combining frames: HISTORY "r153.fits.gz" HISTORY Calibration frames: HISTORY arc,tilt "r124.fits.gz" HISTORY bias "r112.fits.gz" HISTORY bias "r113.fits.gz" HISTORY bias "r114.fits.gz" HISTORY pixelflat,illumflat,trace "r125.fits.gz" HISTORY pixelflat,illumflat,trace "r126.fits.gz" HISTORY pixelflat,illumflat,trace "r127.fits.gz" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 1200 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 3.514343720000451 HIERARCH SMASH_PEAKFLUX = 104.9045648977336 HIERARCH SMASH_SNR = 138.9288071477001 HIERARCH BOX_RADIUS = 1.937984496124031 S2N = 12.05815637364455 HIERARCH FLEX_SHIFT_GLOBAL = -0.4526249862516352 HIERARCH FLEX_SHIFT_LOCAL = -0.1579322519785364 HIERARCH FLEX_SHIFT_TOTAL = -0.6105572382301716 VEL_TYPE= 'heliocentric' VEL_CORR= 0.9999102369402477 DET = 'DET01 ' PYPELINE= 'MultiSlit' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 132.2338102003559 HIERARCH SPAT_FRACPOS = 0.4745344796597369 HIERARCH MASKWIDTH = 36.39990590879083 WAVE_RMS= 0.07414497895901856 SLITID = 136 OBJID = 1 NAME = 'SPAT0132-SLIT0136-DET01' HIERARCH HAND_EXTRACT_FLAG = F TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_COUNTS' TFORM4 = '1D ' TTYPE5 = 'OPT_COUNTS_IVAR' TFORM5 = '1D ' TTYPE6 = 'OPT_COUNTS_SIG' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS_NIVAR' TFORM7 = '1D ' TTYPE8 = 'OPT_MASK' TFORM8 = '1L ' TTYPE9 = 'OPT_COUNTS_SKY' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_SIG_DET' TFORM10 = '1D ' TTYPE11 = 'OPT_FRAC_USE' TFORM11 = '1D ' TTYPE12 = 'OPT_CHI2' TFORM12 = '1D ' TTYPE13 = 'BOX_NPIX' TFORM13 = '1D ' TTYPE14 = 'BOX_WAVE' TFORM14 = '1D ' TTYPE15 = 'BOX_COUNTS' TFORM15 = '1D ' TTYPE16 = 'BOX_COUNTS_IVAR' TFORM16 = '1D ' 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162 / length of dimension 1 NAXIS2 = 1200 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.8 ' / Datamodel version FWHM = 3.514343720045712 HIERARCH SMASH_PEAKFLUX = 104.9045649056425 HIERARCH SMASH_SNR = 138.9288071499839 HIERARCH BOX_RADIUS = 1.937984496124031 S2N = 12.05815637348035 HIERARCH FLEX_SHIFT_GLOBAL = -0.4526249865469936 HIERARCH FLEX_SHIFT_LOCAL = -0.157932251679199 HIERARCH FLEX_SHIFT_TOTAL = -0.6105572382261926 VEL_TYPE= 'heliocentric' VEL_CORR= 0.9999102369402477 DET = 'DET01 ' PYPELINE= 'MultiSlit' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 132.2338101970963 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Collect the names of all files in the following directory: +1. Collect the names of all files from the following directory: .. code-block:: ini - ${PYPEIT_DEV}/RAW_DATA/keck_nires/ERIS + ${PYPEIT_DEV}/RAW_DATA/keck_nires/{dataset} 2. Use :class:`~pypeit.pypeitsetup.PypeItSetup` to automatically identify the configurations for these files. -3. Check that the code found one configuration and wrote the pypeit file for it. +3. Check that the code found one setup. -4. Read the pypeit file. +4. Read in a pre-generated .pypeit file with the correct calibration, combination, and background ids. -5. Check that the ``calib`` values for science/standard and calibration frames are correct. - -6. Check that ``comb_id`` and ``bkg_id`` for the science frames are what expected. The - dither sequence used here is: "ABBA". +5. Check that the ``calib``, ``comb_id``, and ``bkg_id`` values for science frames in the automatically +identified files are the same as the ones in the pre-generated .pypeit file. +The dither sequences used here are: "ABBA", "ABC", "ABpat". Because this test is now included in the ``PypeIt`` :ref:`unit-tests`, these configuration checks are performed by the developers for every new version of the code. From 410d058f317958566a3a8225227e48a162e5d18d Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 27 Mar 2023 20:41:48 -1000 Subject: [PATCH 120/308] update CHANGES --- CHANGES.rst | 2 ++ doc/spectrographs/keck_nires.rst | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/CHANGES.rst b/CHANGES.rst index 1e5eb20eaa..3094d3b8cd 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -11,6 +11,8 @@ - Added new specutils interface - Fixed bugs when only performing calibrations and (1) calib groups are all set to 'all' or (2) anything other than '0'. +- Added `MASKDEF_OBJMAG` and `MASKDEF_OBJMAG_BAND` in spec1d datamodel. +- Improved NIRES dither pattern parsing and automatic assignment of `comb_id` and `bkg_id`. 1.12.1 (21 Feb 2023) -------------------- diff --git a/doc/spectrographs/keck_nires.rst b/doc/spectrographs/keck_nires.rst index 886612f570..921eb7e814 100644 --- a/doc/spectrographs/keck_nires.rst +++ b/doc/spectrographs/keck_nires.rst @@ -77,5 +77,5 @@ to the development of PypeIt for use with NIRES data: ../dev/niresframes ../dev/niresconfig - ../tutorials/nires_howto + ../tutorials/nires_howto From ae7d2a0e6cdf40d429becb3d474d0ac743a8005e Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 27 Mar 2023 21:16:59 -1000 Subject: [PATCH 121/308] change dataset name --- doc/scripts/make_example_files.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/scripts/make_example_files.py b/doc/scripts/make_example_files.py index 6f015b79c2..540ac645e6 100644 --- a/doc/scripts/make_example_files.py +++ b/doc/scripts/make_example_files.py @@ -142,7 +142,7 @@ def make_example_nires_pypeit_files(): # Copy over the one that is actually used by the dev-suite dev = Path(os.getenv('PYPEIT_DEV')).resolve() \ - / 'pypeit_files' / 'keck_nires_nires.pypeit' + / 'pypeit_files' / 'keck_nires_abba_wstandard.pypeit' ofile = oroot / 'keck_nires_A_corrected.pypeit.rst' with open(ofile, 'w') as f: From 581798e899f6d65b196fa0779d7a8b7023e68e1f Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 28 Mar 2023 10:14:03 +0100 Subject: [PATCH 122/308] typo --- pypeit/core/flux_calib.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index eed330a9b3..a4ce750801 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -797,7 +797,7 @@ def get_sensfunc_factor(wave, wave_zp, zeropoint, exptime, tellmodel=None, extin msgs.error('You must specify longitude and latitude if we are extinction correcting') # Apply Extinction if optical bands msgs.info("Applying extinction correction") - msgs.warn("Extinction correction applyed only if the spectra covers <10000Ang.") + msgs.warn("Extinction correction applied only if the spectra covers <10000Ang.") extinct = load_extinction_data(longitude, latitude, extinctfilepar) ext_corr = extinction_correction(wave * units.AA, airmass, extinct) senstot = sensfunc_obs * ext_corr From 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z%o4hRhu(AGk?Bmow6Ya>{xsz4bZ+1^o!cC6@*i^i8#n5#=XY%SFL2=%o6H;k(P(*x z-(TZjZ>}eaZaS*a^k_%ZTZKFNToY)vpr}y0wCO@-WG9 Date: Tue, 28 Mar 2023 14:41:09 +0100 Subject: [PATCH 124/308] padding --- pypeit/coadd1d.py | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/pypeit/coadd1d.py b/pypeit/coadd1d.py index 30dad70beb..ca77bd0746 100644 --- a/pypeit/coadd1d.py +++ b/pypeit/coadd1d.py @@ -112,7 +112,20 @@ def load_arrays(self): if 'RA' in sobjs[indx][0].keys() and 'DEC' in sobjs[indx][0].keys(): header_out['RA_OBJ'] = sobjs[indx][0]['RA'] header_out['DEC_OBJ'] = sobjs[indx][0]['DEC'] - + # Check if the arrays need to be padded + if wave_iexp.shape[0] > waves.shape[0]: + padv = [(0, wave_iexp.shape[0]-waves.shape[0]), (0, 0)] + waves = np.pad(waves, padv, mode='constant', constant_values=(0, 0)) + fluxes = np.pad(fluxes, padv, mode='constant', constant_values=(0, 0)) + ivars = np.pad(ivars, padv, mode='constant', constant_values=(0, 1)) + gpms = np.pad(gpms, padv, mode='constant', constant_values=(False, False)) + elif wave_iexp.shape[0] < waves.shape[0]: + padv = [(0, waves.shape[0]-wave_iexp.shape[0]), (0, 0)] + wave_iexp = np.pad(wave_iexp, padv, mode='constant', constant_values=(0, 0)) + flux_iexp = np.pad(flux_iexp, padv, mode='constant', constant_values=(0, 0)) + ivar_iexp = np.pad(ivar_iexp, padv, mode='constant', constant_values=(0, 1)) + gpm_iexp = np.pad(gpm_iexp, padv, mode='constant', constant_values=(False, False)) + # Store the information waves[...,iexp], fluxes[...,iexp], ivars[..., iexp], gpms[...,iexp] \ = wave_iexp, flux_iexp, ivar_iexp, gpm_iexp From 2ebc155e3e9c349df26f127aa7ded5c306b9a34d Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 28 Mar 2023 09:25:48 -0700 Subject: [PATCH 125/308] dev-suite unit tests pass --- CHANGES.rst | 2 ++ pypeit/calibrations.py | 37 +++++++++++++++++++++------- pypeit/io.py | 4 +-- pypeit/metadata.py | 6 ++++- pypeit/pypeit.py | 2 +- pypeit/scripts/chk_for_calibs.py | 30 +++++++++++++++++----- pypeit/scripts/obslog.py | 1 - pypeit/spectrographs/keck_nirspec.py | 2 +- pypeit/spectrographs/vlt_xshooter.py | 2 +- 9 files changed, 64 insertions(+), 22 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 60fc7244b6..5383d277aa 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -18,6 +18,8 @@ provided by ``pypeit_setup``. The ``.calib`` file is now always written, and provides a direct association between input raw files and output calibration files. Discussed in new docs. +- The ``'calib'`` column is now always added to the pypeit file, regardless of + whether or not you also request the ``'comb_id'`` and ``'bkg_id'`` columns. 1.12.1 (21 Feb 2023) -------------------- diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 5b225be586..f0e72eea4c 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -541,11 +541,19 @@ def get_flats(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - raw_illum_files, setup, calib_id = self._prep_calibrations('illumflat') + raw_pixel_files, pixel_setup, pixel_calib_id = self._prep_calibrations('pixelflat') # Using _prep_calibrations is a bit overkill here... - raw_pixel_files = self._prep_calibrations('pixelflat')[0] + raw_illum_files, illum_setup, illum_calib_id = self._prep_calibrations('illumflat') raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] + if len(raw_pixel_files) == 0 and len(raw_illum_files) == 0: + self.flatimages = None + msgs.warn('No frametype=pixelflat or illumflat files to build flat-field images') + return self.flatimages + + setup = illum_setup if len(raw_pixel_files) == 0 else pixel_setup + calib_id = illum_calib_id if len(raw_pixel_files) == 0 else pixel_calib_id + # Construct the detector/mosaic identifier detname = self.spectrograph.get_det_name(self.det) @@ -687,6 +695,11 @@ def get_slits(self): raw_trace_files, setup, calib_id = self._prep_calibrations('trace') raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] + if len(raw_trace_files) == 0: + self.slits = None + msgs.warn('No frametype=trace files to build slits') + return self.slits + # Construct the detector/mosaic identifier detname = self.spectrograph.get_det_name(self.det) @@ -703,11 +716,6 @@ def get_slits(self): self.slits.user_mask(detname, self.user_slits) return self.slits - if len(raw_trace_files) == 0: - self.slits = None - msgs.warn('No frametype=trace files to build slits') - return self.slits - # Slits don't exist or we're not resusing them edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name( CalibFrame.construct_calib_key(setup, calib_id, detname), @@ -801,7 +809,12 @@ def get_wv_calib(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - _, setup, calib_id = self._prep_calibrations('arc') + raw_files, setup, calib_id = self._prep_calibrations('arc') + if len(raw_files) == 0: + # There are no arc files, so we're done! + self.wv_calib = None + msgs.warn('No frametype=arc files available!') + return self.wv_calib # Construct the detector/mosaic identifier detname = self.spectrograph.get_det_name(self.det) @@ -869,7 +882,13 @@ def get_tilts(self): self._chk_set(['det', 'calib_ID', 'par']) # Load up? - _, setup, calib_id = self._prep_calibrations('tilt') + raw_files, setup, calib_id = self._prep_calibrations('tilt') + if len(raw_files) == 0: + # There are no tilt files, so we're done! + self.wavetilts = None + msgs.warn('No frametype=tilt files available!') + return self.wavetilts + detname = self.spectrograph.get_det_name(self.det) tilts_file = Path(wavetilts.WaveTilts.construct_file_name( CalibFrame.construct_calib_key(setup, calib_id, detname), diff --git a/pypeit/io.py b/pypeit/io.py index d734ed1520..8a79071f13 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -904,7 +904,7 @@ def files_from_extension(raw_path:str, list: List of raw data filenames (sorted) with full path """ # Grab the list of files - dfname = os.path.join(raw_path, '*{0}*'.format(extension)) \ - if os.path.isdir(raw_path) else '{0}*{1}*'.format(raw_path, extension) + dfname = os.path.join(raw_path, f'*{extension}*') \ + if os.path.isdir(raw_path) else f'{raw_path}*{extension}*' return sorted(glob.glob(dfname)) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 993ca168d0..f571051dc0 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -1474,7 +1474,11 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, indx = np.array([setup in _set for _set in self['setup']]) if not np.any(indx): continue - subtbl = self.table[output_cols][indx] + try: + subtbl = self.table[output_cols][indx] + except: + embed() + exit() if 'calib' in output_cols: # calib can be a str with a list of values because in some cases (e.g. MOSFIRE) the same # calibration files are used for different setups. Here we update calib to have only the diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 2c4ecdf276..fb4b687c3b 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -278,7 +278,7 @@ def calib_all(self): # Frame indices frame_indx = np.arange(len(self.fitstbl)) - for calib_ID in fitstbl.calib_groups: + for calib_ID in self.fitstbl.calib_groups: # Find all the frames in this calibration group in_grp = self.fitstbl.find_calib_group(calib_ID) grp_frames = frame_indx[in_grp] diff --git a/pypeit/scripts/chk_for_calibs.py b/pypeit/scripts/chk_for_calibs.py index 44d8bd155f..9d7317dc7c 100644 --- a/pypeit/scripts/chk_for_calibs.py +++ b/pypeit/scripts/chk_for_calibs.py @@ -66,12 +66,10 @@ def main(args): + 'on how to add a new instrument.') # Initialize PypeItSetup based on the arguments - output_path = os.path.join(os.getcwd(), 'setup_files') - ps = PypeItSetup.from_file_root(args.root, args.spectrograph, extension=args.extension, - output_path=output_path) + ps = PypeItSetup.from_file_root(args.root, args.spectrograph, extension=args.extension) # Run the setup - ps.run(setup_only=True)#, write_bkg_pairs=args.background) + ps.run(setup_only=True) is_science = ps.fitstbl.find_frames('science') msgs.info('Loaded spectrograph {0}'.format(ps.spectrograph.name)) @@ -153,8 +151,28 @@ def main(args): answers.pprint_all() print('======================================================') # Remove setup_files - if not args.save_setups: - shutil.rmtree(output_path) + if args.save_setups: + # TODO: This is nearly an exact copy of the code in + # `pypeit/scripts/setup.py`. Consolidate somehow? + # Output directory is hard-coded to be 'setup_files' + output_path = Path().resolve() / 'setup_files' + if not output_path.exists(): + output_path.mkdir(parents=True) + # Write the sorted file, + sorted_file = output_path / ps.pypeit_file.replace('.pypeit', '.sorted') + ps.fitstbl.write_sorted(sorted_file) + # the calib file, + calib_file = sorted_file.with_suffix('.calib') + caldir = calib_file.parent / ps.par['calibrations']['calib_dir'] + Calibrations.association_summary(calib_file, ps.fitstbl, ps.spectrograph, caldir, + overwrite=True) + # and the obslog file + obslog_file = sorted_file.with_suffix('.obslog') + header = ['Auto-generated PypeIt Observing Log', + f'{0}'.format(time.strftime("%a %d %b %Y %H:%M:%S", time.localtime()))] + ps.fitstbl.write(output=obslog_file, columns='pypeit', sort_col='mjd', overwrite=True, + header=header) + # Return objects used by unit tests return answers, ps diff --git a/pypeit/scripts/obslog.py b/pypeit/scripts/obslog.py index d513bb3e93..fbb1ea2d90 100644 --- a/pypeit/scripts/obslog.py +++ b/pypeit/scripts/obslog.py @@ -110,7 +110,6 @@ def main(args): ps = PypeItSetup.from_file_root(args.root, args.spec, extension=args.extension) ps.run(setup_only=True, # This allows for bad headers - write_files=False, groupings=args.groupings, clean_config=args.bad_frames) diff --git a/pypeit/spectrographs/keck_nirspec.py b/pypeit/spectrographs/keck_nirspec.py index db6f9cf31b..e582a69359 100644 --- a/pypeit/spectrographs/keck_nirspec.py +++ b/pypeit/spectrographs/keck_nirspec.py @@ -188,7 +188,7 @@ def pypeit_file_keys(self): pypeit_keys = super().pypeit_file_keys() # TODO: Why are these added here? See # pypeit.metadata.PypeItMetaData.set_pypeit_cols - pypeit_keys += ['calib', 'comb_id', 'bkg_id'] + pypeit_keys += ['comb_id', 'bkg_id'] return pypeit_keys def check_frame_type(self, ftype, fitstbl, exprng=None): diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index 1b14269735..d422433e7d 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -339,7 +339,7 @@ def pypeit_file_keys(self): pypeit_keys = super().pypeit_file_keys() # TODO: Why are these added here? See # pypeit.metadata.PypeItMetaData.set_pypeit_cols - pypeit_keys += ['calib', 'comb_id', 'bkg_id'] + pypeit_keys += ['comb_id', 'bkg_id'] return pypeit_keys def check_frame_type(self, ftype, fitstbl, exprng=None): From e1d9086de14da0cdaa39a9ab166127791f1a31e6 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Tue, 28 Mar 2023 11:03:02 -0700 Subject: [PATCH 126/308] CHANGES --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index daf21b66fc..a9e264213c 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -9,6 +9,7 @@ - Various bug fixes and enhancements to mmt_bluechannel and mmt_binospec support - Include the S/N of extracted spectra in the SpecObj datamodel - Added new specutils interface +- Deprecate use of python 3.8 with PypeIt 1.12.1 (21 Feb 2023) -------------------- From 93900e26e2fcd39e035fc03ba92893bf00cdb286 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 28 Mar 2023 11:17:52 -0700 Subject: [PATCH 127/308] doc update --- doc/api/pypeit.calibframe.rst | 8 ++ doc/api/pypeit.masterframe.rst | 8 -- doc/api/pypeit.rst | 2 +- doc/api/pypeit.scripts.install_ql_calibs.rst | 8 ++ doc/api/pypeit.scripts.install_ql_masters.rst | 8 -- doc/api/pypeit.scripts.parse_calib_id.rst | 8 -- doc/api/pypeit.scripts.rst | 3 +- doc/calibrations/calibrations.rst | 109 ++++++++++-------- doc/calibrations/flat_fielding.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 7 +- doc/help/pypeit_chk_edges.rst | 17 ++- doc/help/pypeit_chk_flats.rst | 6 +- doc/help/pypeit_chk_wavecalib.rst | 4 +- doc/help/pypeit_identify.rst | 7 +- ...sters.rst => pypeit_install_ql_calibs.rst} | 16 +-- doc/help/pypeit_parse_calib_id.rst | 13 --- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_ql.rst | 4 +- doc/help/pypeit_show_wvcalib.rst | 4 +- doc/help/pypeit_trace_edges.rst | 15 +-- doc/help/run_pypeit.rst | 4 +- doc/include/class_datamodel_edgetraceset.rst | 2 +- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos.sorted.rst | 54 ++++----- doc/include/keck_deimos_A.pypeit.rst | 18 +-- doc/include/keck_nires_A.pypeit.rst | 2 +- doc/include/links.rst | 1 + doc/include/shane_kast_blue_A.pypeit.rst | 56 ++++----- doc/pypeit_par.rst | 79 +++++++------ doc/scripts.rst | 2 +- doc/scripts/make_example_files.py | 45 +++----- pypeit/edgetrace.py | 5 +- pypeit/par/pypeitpar.py | 13 +-- pypeit/pypeit.py | 5 +- pypeit/scripts/ql.py | 2 +- 35 files changed, 256 insertions(+), 285 deletions(-) create mode 100644 doc/api/pypeit.calibframe.rst delete mode 100644 doc/api/pypeit.masterframe.rst create mode 100644 doc/api/pypeit.scripts.install_ql_calibs.rst delete mode 100644 doc/api/pypeit.scripts.install_ql_masters.rst delete mode 100644 doc/api/pypeit.scripts.parse_calib_id.rst rename doc/help/{pypeit_install_ql_masters.rst => pypeit_install_ql_calibs.rst} (52%) delete mode 100644 doc/help/pypeit_parse_calib_id.rst diff --git a/doc/api/pypeit.calibframe.rst b/doc/api/pypeit.calibframe.rst new file mode 100644 index 0000000000..3c8fc7e3ea --- /dev/null +++ b/doc/api/pypeit.calibframe.rst @@ -0,0 +1,8 @@ +pypeit.calibframe module +======================== + +.. automodule:: pypeit.calibframe + :members: + :private-members: + :undoc-members: + :show-inheritance: diff --git a/doc/api/pypeit.masterframe.rst b/doc/api/pypeit.masterframe.rst deleted file mode 100644 index 157f0718c7..0000000000 --- a/doc/api/pypeit.masterframe.rst +++ /dev/null @@ -1,8 +0,0 @@ -pypeit.masterframe module -========================= - -.. automodule:: pypeit.masterframe - :members: - :private-members: - :undoc-members: - :show-inheritance: diff --git a/doc/api/pypeit.rst b/doc/api/pypeit.rst index 9bacf06e99..14edf9b3ba 100644 --- a/doc/api/pypeit.rst +++ b/doc/api/pypeit.rst @@ -28,6 +28,7 @@ Submodules pypeit.archive pypeit.biasframe pypeit.bitmask + pypeit.calibframe pypeit.calibrations pypeit.coadd1d pypeit.coadd2d @@ -41,7 +42,6 @@ Submodules pypeit.inputfiles pypeit.io pypeit.manual_extract - pypeit.masterframe pypeit.metadata pypeit.onespec pypeit.pypeit diff --git a/doc/api/pypeit.scripts.install_ql_calibs.rst b/doc/api/pypeit.scripts.install_ql_calibs.rst new file mode 100644 index 0000000000..374e443c84 --- /dev/null +++ b/doc/api/pypeit.scripts.install_ql_calibs.rst @@ -0,0 +1,8 @@ +pypeit.scripts.install\_ql\_calibs module +========================================= + +.. automodule:: pypeit.scripts.install_ql_calibs + :members: + :private-members: + :undoc-members: + :show-inheritance: diff --git a/doc/api/pypeit.scripts.install_ql_masters.rst b/doc/api/pypeit.scripts.install_ql_masters.rst deleted file mode 100644 index 98c1915805..0000000000 --- a/doc/api/pypeit.scripts.install_ql_masters.rst +++ /dev/null @@ -1,8 +0,0 @@ -pypeit.scripts.install\_ql\_masters module -========================================== - -.. automodule:: pypeit.scripts.install_ql_masters - :members: - :private-members: - :undoc-members: - :show-inheritance: diff --git a/doc/api/pypeit.scripts.parse_calib_id.rst b/doc/api/pypeit.scripts.parse_calib_id.rst deleted file mode 100644 index a01b0baf39..0000000000 --- a/doc/api/pypeit.scripts.parse_calib_id.rst +++ /dev/null @@ -1,8 +0,0 @@ -pypeit.scripts.parse\_calib\_id module -====================================== - -.. automodule:: pypeit.scripts.parse_calib_id - :members: - :private-members: - :undoc-members: - :show-inheritance: diff --git a/doc/api/pypeit.scripts.rst b/doc/api/pypeit.scripts.rst index 640cd23cb0..ae2292c8ec 100644 --- a/doc/api/pypeit.scripts.rst +++ b/doc/api/pypeit.scripts.rst @@ -25,12 +25,11 @@ Submodules pypeit.scripts.identify pypeit.scripts.install_extinctfile pypeit.scripts.install_linelist - pypeit.scripts.install_ql_masters + pypeit.scripts.install_ql_calibs pypeit.scripts.install_telluric pypeit.scripts.lowrdx_skyspec pypeit.scripts.multislit_flexure pypeit.scripts.obslog - pypeit.scripts.parse_calib_id pypeit.scripts.parse_slits pypeit.scripts.qa_html pypeit.scripts.ql diff --git a/doc/calibrations/calibrations.rst b/doc/calibrations/calibrations.rst index 0f990616da..34b5d048b8 100644 --- a/doc/calibrations/calibrations.rst +++ b/doc/calibrations/calibrations.rst @@ -32,25 +32,20 @@ calibrations are used with each science frame, you could split the data between two :ref:`PypeIt Files` or you can use PypeIt's *calibration group* designations. -To assign specific calibration frames to each science frame, you need to -include the ``-b`` option when running :ref:`pypeit_setup` to add the ``calib``, -``comb_id`` and ``bkg_id`` columns to the :ref:`data_block` of the -:ref:`pypeit_file`, although you only need the ``calib`` column and can leave -the other two at their default values (-1). - -The ``calib`` column is used to pair science frames with calibration frames. -Here's an example: +To assign specific calibration frames to each science frame, you must edit the +``calib`` column in the :ref:`data_block` of the :ref:`pypeit_file`, which is +used to pair science frames with calibration frames. Here's an example: .. code-block:: console - filename | frametype | ... | calib | comb_id | bkg_id - DE.20170425.09554.fits.gz | arc,tilt | ... | all | -1 | -1 - DE.20170425.09632.fits.gz | pixelflat,illumflat,trace | ... | 1,2 | -1 | -1 - DE.20170425.09722.fits.gz | pixelflat,illumflat,trace | ... | 1,2 | -1 | -1 - DE.20170425.09803.fits.gz | pixelflat,illumflat,trace | ... | 3 | -1 | -1 - DE.20170425.50487.fits.gz | science | ... | 1 | -1 | -1 - DE.20170425.51771.fits.gz | science | ... | 2 | -1 | -1 - DE.20170425.53065.fits.gz | science | ... | 3 | -1 | -1 + filename | frametype | ... | calib | + DE.20170425.09554.fits.gz | arc,tilt | ... | all | + DE.20170425.09632.fits.gz | pixelflat,illumflat,trace | ... | 1,2 | + DE.20170425.09722.fits.gz | pixelflat,illumflat,trace | ... | 1,2 | + DE.20170425.09803.fits.gz | pixelflat,illumflat,trace | ... | 3 | + DE.20170425.50487.fits.gz | science | ... | 1 | + DE.20170425.51771.fits.gz | science | ... | 2 | + DE.20170425.53065.fits.gz | science | ... | 3 | Here, the ``arc,tilt`` frame is used for the calibration of every science frame, so the value in its ``calib`` entry can be set to ``all`` (``1,2,3`` also @@ -59,38 +54,58 @@ are used for the calibration of the first two science frames, while the third is used for the calibration of the third science frame. .. note:: - - Importantly, because all of the ``comb_id`` and ``bkg_id`` values are -1, - none of the science frames will be combined. To perform a simple - combination of science frames (i.e., combine the pixel values in the frames - after :ref:`image_proc` **without** accounting for any shifts in the - wavelength calibration or slit traces), see :ref:`2d_combine`. + + - Calibration group numbers **must** be integers and unique for each group; + however, they do not need to follow any particular sequence. + + - There is currently a limit of no more than 63 calibration groups. .. _calibrations-calibfile: -Output calib File ------------------ +".calib" File +------------- -When PypeIt runs successful, a file with a ``.calib`` extension is generated -that provides a summary of the calibration groups used during the reduction. -The file lists all the source file of each frame type ordered by their -calibration group. It looks roughly like this: +A PypeIt ``.calib`` file is written both when running :ref:`pypeit_setup` and +:ref:`run-pypeit`, a yaml file that provides a summary of the calibration groups +used during the reduction. The file lists all the source file of each frame +type ordered by their calibration group and looks roughly like this: -.. code-block:: console +.. code-block:: yaml + # Auto-generated calibration association file using PypeIt version: 1.12.2.dev137+g95b15695a + # UTC 2023-03-28T17:09:20.359 + # NOTE: DET01 is a placeholder for the reduced detectors/mosaics A: - --: - SETUP DETAILS - 1: - align: [] + --: + dichroic: d55 + dispname: 600/4310 + 0: arc: - - /arc/file/1 - - /arc/file/2 - bias: [] + proc: + - /rdx/path/shane_kast_blue_A/Calibrations/Arc_A_0_DET01.fits + - /rdx/path/shane_kast_blue_A/Calibrations/WaveCalib_A_0_DET01.fits + raw: + - /raw/path/b1.fits.gz + bias: + proc: + - /rdx/path/shane_kast_blue_A/Calibrations/Bias_A_0_DET01.fits + raw: + - /raw/path/b14.fits.gz + ... + science: + - /raw/path/b27.fits.gz + - /raw/path/b28.fits.gz + standard: + - /raw/path/b24.fits.gz ... -You may generate a similar (and perhaps more readable) file using the -:ref:`pypeit-parse-calib-id` script. +The outermost element gives the setup/configuration identifier, ``A`` in this +case. This is immediately followed by the instrument configuration details. +Then, for each calibration group, the file provides the associated raw science +and standard files, the raw calibration files, and the processed calibration +files the code *expects* to create. Whether or not the processed calibration +files exist after executing :ref:`run-pypeit` will depend on the success of the +run and any relevant user-based parameters. ---- @@ -159,21 +174,13 @@ combination of: - the instrument configuration (setup) identifier (e.g., ``A``), - - the calibration group **bit** identifier (e.g., ``7``), and + - the list of associated calibration groups (e.g., ``1-2`` or ``all``), and - the detector or mosaic identifier (e.g., ``DET01`` or ``MSC01``). -Importantly, note that the calibration group **bit** identifier is used and not -a specific calibration group ID number. This is because calibration frames can -belong to multiple calibration groups. For example, if there are 3 calibration -groups (groups 1, 2, and 3) and a set of bias frames are used for all three -groups, the resulting processed bias frame will be called -``Bias_A_7_DET01.fits`` for detector 1 in setup A. The ``7`` comes from -the bitwise calculation :math:`2^{1-1} + 2^{2-1} + 2^{3-1} = 7`. - -Although convenient from a development perspective, this abstraction of the -calibration file names can make it difficult to associate each calibration frame -with its source input frames. To help with this, see the -:ref:`calibrations-calibfile`. +.. note:: + + If you have a lot of calibration groups in your pypeit file, you may end up + with very long file names! diff --git a/doc/calibrations/flat_fielding.rst b/doc/calibrations/flat_fielding.rst index cd76ae4347..904239b05b 100644 --- a/doc/calibrations/flat_fielding.rst +++ b/doc/calibrations/flat_fielding.rst @@ -147,7 +147,7 @@ Lamps off Flats Subtraction --------------------------- When flats taken with the lamps OFF are provided, ``PypeIt`` will subtract them -from the flats taken with the lamps ON, before creating the :doc:`master_flat` +from the flats taken with the lamps ON, before creating the :doc:`flat` images. The lamp off flats are not automatically identified (except for :doc:`../spectrographs/mosfire`), so the user should label those as ``lampoffflats`` :doc:`../frametype` in the :ref:`pypeit_file`. diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index 99ccabf422..440eb0b0ef 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -1,13 +1,12 @@ .. code-block:: console $ pypeit_chk_alignments -h - usage: pypeit_chk_alignments [-h] [--chname CHNAME] master_file + usage: pypeit_chk_alignments [-h] [--chname CHNAME] file - Display MasterAlignment image and the trace data + Display Alignment image and the trace data positional arguments: - master_file PypeIt Master Alignment file [e.g. - MasterAlignment_A_1_01.fits] + file PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits] optional arguments: -h, --help show this help message and exit diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index b8462b5474..f226c14e5a 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -1,18 +1,17 @@ .. code-block:: console $ pypeit_chk_edges -h - usage: pypeit_chk_edges [-h] [--chname CHNAME] [--mpl] [--try_old] trace_file + usage: pypeit_chk_edges [-h] [--mpl] [--try_old] trace_file - Display MasterEdges image and trace data + Display trace image and edge traces positional arguments: - trace_file PypeIt Master Trace file [e.g. MasterEdges_A_01_aa.fits.gz] + trace_file PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz] optional arguments: - -h, --help show this help message and exit - --chname CHNAME Channel name for image in Ginga (default: MTrace) - --mpl Use a matplotlib window instead of ginga to show the trace - (default: False) - --try_old Attempt to load old datamodel versions. A crash may ensue.. - (default: False) + -h, --help show this help message and exit + --mpl Use a matplotlib window instead of ginga to show the trace + (default: False) + --try_old Attempt to load old datamodel versions. A crash may ensue.. + (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index e5620dbae9..fc04d50177 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -1,12 +1,12 @@ .. code-block:: console $ pypeit_chk_flats -h - usage: pypeit_chk_flats [-h] [--type TYPE] [--try_old] master_file + usage: pypeit_chk_flats [-h] [--type TYPE] [--try_old] file - Display MasterFlat images in Ginga viewer + Display flat images in Ginga viewer positional arguments: - master_file PypeIt MasterFlat file [e.g. MasterFlat_A_1_01.fits] + file PypeIt Flat file [e.g. Flat_A_1_DET01.fits] optional arguments: -h, --help show this help message and exit diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 9a729fd23d..75b3317647 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -6,8 +6,8 @@ Print QA on Wavelength Calib to the screen positional arguments: - input_file PypeIt MasterWaveCalib file [e.g. MasterWaveCalib_A_1_01.fits] or - spec2d file + input_file PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or spec2d + file optional arguments: -h, --help show this help message and exit diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index 3f652479e1..4f2b5142e8 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -7,12 +7,11 @@ [--linear] [--force_save] [--rescale_resid] arc_file slits_file - Launch PypeIt identify tool, display extracted MasterArc, and load linelist.Run - above the Masters/ folder. + Launch PypeIt identify tool, display extracted Arc, and load linelist. positional arguments: - arc_file PypeIt MasterArc file - slits_file PypeIt MasterSlits file + arc_file PypeIt Arc file + slits_file PypeIt Slits file optional arguments: -h, --help show this help message and exit diff --git a/doc/help/pypeit_install_ql_masters.rst b/doc/help/pypeit_install_ql_calibs.rst similarity index 52% rename from doc/help/pypeit_install_ql_masters.rst rename to doc/help/pypeit_install_ql_calibs.rst index 522bd7b222..0299360259 100644 --- a/doc/help/pypeit_install_ql_masters.rst +++ b/doc/help/pypeit_install_ql_calibs.rst @@ -1,17 +1,17 @@ .. code-block:: console - $ pypeit_install_ql_masters -h - usage: pypeit_install_ql_masters [-h] [--zip ZIP | --ql_path QL_PATH] - [--odir ODIR] [--rmzip] + $ pypeit_install_ql_calibs -h + usage: pypeit_install_ql_calibs [-h] [--zip ZIP | --ql_path QL_PATH] + [--odir ODIR] [--rmzip] - Script to install PypeIt QL Master files + Script to install PypeIt QL calibration files optional arguments: -h, --help show this help message and exit - --zip ZIP Zip file of the full QL_MASTERS directory downloaded from - the PypeIt Google Drive (default: None) - --ql_path QL_PATH An existing directory to symlink as the QL_MASTERS - directory. (default: None) + --zip ZIP Zip file of the full QL_CALIB directory downloaded from the + PypeIt Google Drive (default: None) + --ql_path QL_PATH An existing directory to symlink as the QL_CALIB directory. + (default: None) --odir ODIR The directory in which to extract the zip file. Ignored if a direct path is provided using --ql_path. (default: current working directory) diff --git a/doc/help/pypeit_parse_calib_id.rst b/doc/help/pypeit_parse_calib_id.rst deleted file mode 100644 index 937585d8d9..0000000000 --- a/doc/help/pypeit_parse_calib_id.rst +++ /dev/null @@ -1,13 +0,0 @@ -.. code-block:: console - - $ pypeit_parse_calib_id -h - usage: pypeit_parse_calib_id [-h] pypeit_file - - Parse the pypeit file for the calib IDs - - positional arguments: - pypeit_file PypeIt reduction file (must have .pypeit extension) - - optional arguments: - -h, --help show this help message and exit - \ No newline at end of file diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index 98619a6f48..83ad2223d2 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -6,7 +6,7 @@ Print info on slits from a input file positional arguments: - input_file Either a spec2D or MasterSlits filename + input_file Either a spec2D or Slits filename optional arguments: -h, --help show this help message and exit diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index a4a1ecff81..927ff19018 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -61,8 +61,8 @@ Location folders of calibration reductions (default: None) --masters_dir MASTERS_DIR - Location of PypeIt Master files used for the reduction. - (default: None) + Location of PypeIt calibration files used for the + reduction. (default: None) --calibs_only Reduce only the calibrations? (default: False) --clobber_calibs Clobber existing calibration files? (default: False) --slitspatnum SLITSPATNUM diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index cb52801d12..2b83ff5627 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -7,12 +7,12 @@ Show the result of wavelength calibration positional arguments: - file MasterWaveCalib file + file WaveCalib file slit_order Slit or Order number optional arguments: -h, --help show this help message and exit --slit_file SLIT_FILE - Master Slit file (default: None) + Slit file (default: None) --is_order Input slit/order is an order (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 7f76eb053e..9bebeb7c92 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -3,8 +3,8 @@ $ pypeit_trace_edges -h usage: pypeit_trace_edges [-h] (-f PYPEIT_FILE | -t TRACE_FILE) [-g GROUP] [-d [DETECTOR ...]] [-s SPECTROGRAPH] [-b BINNING] - [-p REDUX_PATH] [-m MASTER_DIR] [-o] [--debug] - [--show] [-v VERBOSITY] + [-p REDUX_PATH] [-c CALIB_DIR] [-o] [--debug] [--show] + [-v VERBOSITY] Trace slit edges @@ -50,11 +50,12 @@ used if providing files directly; default is 1,1. (default: None) -p REDUX_PATH, --redux_path REDUX_PATH - Path to top-level output directory. Default is the - current working directory. (default: None) - -m MASTER_DIR, --master_dir MASTER_DIR - Name for directory in output path for Master file(s) - relative to the top-level directory. (default: Masters) + Path to top-level output directory. (default: current + working directory) + -c CALIB_DIR, --calib_dir CALIB_DIR + Name for directory in output path for calibration + file(s) relative to the top-level directory. (default: + Calibrations) -o, --overwrite Overwrite any existing files/directories (default: False) --debug Run in debug mode. (default: False) diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index 0a20f16f6e..38c2571c6d 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -32,8 +32,8 @@ -r REDUX_PATH, --redux_path REDUX_PATH Path to directory for the reduction. Only advised for testing - -m, --do_not_reuse_masters - Do not load previously generated MasterFrames, even ones + -m, --do_not_reuse_calibs + Do not load previously generated calibrations, even ones made during the run. -s, --show Show reduction steps via plots (which will block further execution until clicked on) and outputs to ginga. diff --git a/doc/include/class_datamodel_edgetraceset.rst b/doc/include/class_datamodel_edgetraceset.rst index 11f18ecacd..bc400b71f2 100644 --- a/doc/include/class_datamodel_edgetraceset.rst +++ b/doc/include/class_datamodel_edgetraceset.rst @@ -5,7 +5,7 @@ Attribute Type Array Type Description ============== ============================================= ======================== ============================================================================================================================================================================================================ ``PYP_SPEC`` str PypeIt spectrograph name -``dispname`` str Spectrograph disperser name. Primarily needed for reloading an existing MasterEdge file. +``dispname`` str Spectrograph disperser name. ``edge_cen`` `numpy.ndarray`_ float, `numpy.floating`_ (Floating-point) Measured spatial coordinate of the edge traces for each spectral pixel. Shape is (Nspec,Ntrace). ``edge_err`` `numpy.ndarray`_ float, `numpy.floating`_ Error in the measured spatial coordinate edge traces. ``edge_fit`` `numpy.ndarray`_ float, `numpy.floating`_ The best-fit model result for the trace edge. diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index 6dacff9f54..107ad56d5f 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-21T16:10:52.232 + # UTC 2023-03-28T18:07:53.738 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_deimos.sorted.rst b/doc/include/keck_deimos.sorted.rst index 8a7b45d1b5..655eedb3a6 100644 --- a/doc/include/keck_deimos.sorted.rst +++ b/doc/include/keck_deimos.sorted.rst @@ -9,23 +9,23 @@ amp: SINGLE:B filter1: OG550 #--------------------------------------------------------- - filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno - DE.20170527.06713.fits | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 - d0527_0030.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 - d0527_0031.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.07851 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:53:10.93 | 31 - DE.20170527.06790.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.07851 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:53:10.93 | 31 - d0527_0032.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 - DE.20170527.06864.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 - DE.20170527.06936.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.080211 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:55:36.93 | 33 - d0527_0033.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.080211 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:55:36.93 | 33 - DE.20170527.37601.fits | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.435131 | 1.03078874 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:26:41.61 | 80 - DE.20170527.38872.fits | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 - d0527_0081.fits.gz | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 - DE.20170527.41775.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 - d0527_0083.fits.gz | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 - DE.20170527.43045.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.498135 | 1.00838805 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:57:25.35 | 84 - DE.20170527.44316.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.512854 | 1.02377681 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 12:18:36.71 | 85 - DE.20170527.53184.fits | science | 349.99316666666664 | -5.16575 | Feige 110 | 830G | LongMirr | 1,1 | 57900.615484 | 1.42505162 | 45.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 14:46:24.88 | 93 + filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno | calib + DE.20170527.06713.fits | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 | 0 + d0527_0030.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 | 0 + d0527_0031.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.07851 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:53:10.93 | 31 | 0 + DE.20170527.06790.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.07851 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:53:10.93 | 31 | 0 + d0527_0032.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 | 0 + DE.20170527.06864.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 | 0 + DE.20170527.06936.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.080211 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:55:36.93 | 33 | 0 + d0527_0033.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.080211 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:55:36.93 | 33 | 0 + DE.20170527.37601.fits | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.435131 | 1.03078874 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:26:41.61 | 80 | 0 + DE.20170527.38872.fits | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 | 0 + d0527_0081.fits.gz | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 | 0 + DE.20170527.41775.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 | 0 + d0527_0083.fits.gz | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 | 0 + DE.20170527.43045.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.498135 | 1.00838805 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:57:25.35 | 84 | 0 + DE.20170527.44316.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.512854 | 1.02377681 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 12:18:36.71 | 85 | 0 + DE.20170527.53184.fits | science | 349.99316666666664 | -5.16575 | Feige 110 | 830G | LongMirr | 1,1 | 57900.615484 | 1.42505162 | 45.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 14:46:24.88 | 93 | 0 ########################################################## Setup B dispname: 830G @@ -35,16 +35,16 @@ amp: SINGLE:B filter1: OG550 #--------------------------------------------------------- - filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno - d0914_0002.fits.gz | bias | 299.99999999999994 | 80.0 | unknown | 830G | None | 1,1 | 58010.07499 | 1.0153979 | 1.0 | 7499.97998047 | SINGLE:B | R | Off | 2017-09-14 | 01:48:05.53 | 2 - d0914_0011.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.135443 | 1.41291034 | 1.0 | 8399.93554688 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-09-14 | 03:15:07.98 | 11 - d0914_0013.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.137123 | 1.41291034 | 6.0 | 8399.93554688 | SINGLE:B | OG550 | Qz | 2017-09-14 | 03:17:33.43 | 13 - d0914_0014.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.138113 | 1.41291034 | 6.0 | 8399.93554688 | SINGLE:B | OG550 | Qz | 2017-09-14 | 03:18:59.03 | 14 - d0914_0015.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.138969 | 1.41291034 | 6.0 | 8399.93554688 | SINGLE:B | OG550 | Qz | 2017-09-14 | 03:20:13.93 | 15 - d0914_0036.fits.gz | science | 11.389749999999998 | 9.032555555555556 | PSOJ011p09_OFF | 830G | LongMirr | 1,1 | 58010.48501 | 1.01790951 | 1200.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 11:38:32.60 | 36 - d0914_0037.fits.gz | science | 11.390166666666666 | 9.033277777777778 | PSOJ011p09_OFF | 830G | LongMirr | 1,1 | 58010.499726 | 1.02369591 | 1200.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 11:59:43.61 | 37 - d0914_0038.fits.gz | science | 11.389333333333331 | 9.031833333333335 | PSOJ011p09_OFF | 830G | LongMirr | 1,1 | 58010.514673 | 1.0383931 | 1200.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 12:21:14.62 | 38 - d0914_0047.fits.gz | science | 76.37762499999998 | 52.83063888888889 | G191B2B | 830G | LongMirr | 1,1 | 58010.641261 | 1.19898553 | 60.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 15:23:31.06 | 47 + filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno | calib + d0914_0002.fits.gz | bias | 299.99999999999994 | 80.0 | unknown | 830G | None | 1,1 | 58010.07499 | 1.0153979 | 1.0 | 7499.97998047 | SINGLE:B | R | Off | 2017-09-14 | 01:48:05.53 | 2 | 1 + d0914_0011.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.135443 | 1.41291034 | 1.0 | 8399.93554688 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-09-14 | 03:15:07.98 | 11 | 1 + d0914_0013.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.137123 | 1.41291034 | 6.0 | 8399.93554688 | SINGLE:B | OG550 | Qz | 2017-09-14 | 03:17:33.43 | 13 | 1 + d0914_0014.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.138113 | 1.41291034 | 6.0 | 8399.93554688 | SINGLE:B | OG550 | Qz | 2017-09-14 | 03:18:59.03 | 14 | 1 + d0914_0015.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 830G | LongMirr | 1,1 | 58010.138969 | 1.41291034 | 6.0 | 8399.93554688 | SINGLE:B | OG550 | Qz | 2017-09-14 | 03:20:13.93 | 15 | 1 + d0914_0036.fits.gz | science | 11.389749999999998 | 9.032555555555556 | PSOJ011p09_OFF | 830G | LongMirr | 1,1 | 58010.48501 | 1.01790951 | 1200.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 11:38:32.60 | 36 | 1 + d0914_0037.fits.gz | science | 11.390166666666666 | 9.033277777777778 | PSOJ011p09_OFF | 830G | LongMirr | 1,1 | 58010.499726 | 1.02369591 | 1200.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 11:59:43.61 | 37 | 1 + d0914_0038.fits.gz | science | 11.389333333333331 | 9.031833333333335 | PSOJ011p09_OFF | 830G | LongMirr | 1,1 | 58010.514673 | 1.0383931 | 1200.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 12:21:14.62 | 38 | 1 + d0914_0047.fits.gz | science | 76.37762499999998 | 52.83063888888889 | G191B2B | 830G | LongMirr | 1,1 | 58010.641261 | 1.19898553 | 60.0 | 8399.93554688 | SINGLE:B | OG550 | Off | 2017-09-14 | 15:23:31.06 | 47 | 1 ##end diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index 7123e4729e..58469decc8 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-21T16:10:51.668 + # UTC 2023-03-28T18:07:53.180 # User-defined execution parameters [rdx] @@ -21,14 +21,14 @@ # Data block data read path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_deimos/1200G_M_7750 - filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno - DE.20170425.09554.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.110529 | 1.41291034 | 1.0 | 7699.95654297 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-04-25 | 02:39:14.41 | 49 - DE.20170425.09632.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.111418 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:40:32.06 | 50 - DE.20170425.09722.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.112443 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:42:02.26 | 51 - DE.20170425.09803.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.113392 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:43:23.16 | 52 - DE.20170425.50487.fits.gz | science | 260.04999999999995 | 57.958444444444446 | dra11 | 1200G | dra11 | 1,1 | 57868.584271 | 1.2765523 | 1200.0 | 7699.95654297 | SINGLE:B | OG550 | Off | 2017-04-25 | 14:01:27.15 | 85 - DE.20170425.51771.fits.gz | science | 260.04999999999995 | 57.958444444444446 | dra11 | 1200G | dra11 | 1,1 | 57868.599136 | 1.29137753 | 1200.0 | 7699.95654297 | SINGLE:B | OG550 | Off | 2017-04-25 | 14:22:51.01 | 86 - DE.20170425.53065.fits.gz | science | 260.04999999999995 | 57.958444444444446 | dra11 | 1200G | dra11 | 1,1 | 57868.6141 | 1.31412428 | 1000.0 | 7699.95654297 | SINGLE:B | OG550 | Off | 2017-04-25 | 14:44:25.52 | 87 + filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno | calib + DE.20170425.09554.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.110529 | 1.41291034 | 1.0 | 7699.95654297 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-04-25 | 02:39:14.41 | 49 | 0 + DE.20170425.09632.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.111418 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:40:32.06 | 50 | 0 + DE.20170425.09722.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.112443 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:42:02.26 | 51 | 0 + DE.20170425.09803.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.113392 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:43:23.16 | 52 | 0 + DE.20170425.50487.fits.gz | science | 260.04999999999995 | 57.958444444444446 | dra11 | 1200G | dra11 | 1,1 | 57868.584271 | 1.2765523 | 1200.0 | 7699.95654297 | SINGLE:B | OG550 | Off | 2017-04-25 | 14:01:27.15 | 85 | 0 + DE.20170425.51771.fits.gz | science | 260.04999999999995 | 57.958444444444446 | dra11 | 1200G | dra11 | 1,1 | 57868.599136 | 1.29137753 | 1200.0 | 7699.95654297 | SINGLE:B | OG550 | Off | 2017-04-25 | 14:22:51.01 | 86 | 0 + DE.20170425.53065.fits.gz | science | 260.04999999999995 | 57.958444444444446 | dra11 | 1200G | dra11 | 1,1 | 57868.6141 | 1.31412428 | 1000.0 | 7699.95654297 | SINGLE:B | OG550 | Off | 2017-04-25 | 14:44:25.52 | 87 | 0 data end diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 96604bdf52..acd7f1f095 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-21T16:11:04.477 + # UTC 2023-03-28T18:08:05.853 # User-defined execution parameters [rdx] diff --git a/doc/include/links.rst b/doc/include/links.rst index e3ee112833..8b434a5732 100644 --- a/doc/include/links.rst +++ b/doc/include/links.rst @@ -12,6 +12,7 @@ .. _collections.OrderedDict: https://docs.python.org/3/library/collections.html#collections.OrderedDict .. _str.splitlines: https://docs.python.org/3/library/stdtypes.html#str.splitlines .. _textwrap.wrap: https://docs.python.org/3/library/textwrap.html#textwrap.wrap +.. _Path: https://docs.python.org/3/library/pathlib.html .. numpy .. _numpy: https://numpy.org/ diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index 620d8ad967..d450728cf6 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-21T16:10:44.964 + # UTC 2023-03-28T18:07:46.830 # User-defined execution parameters [rdx] @@ -17,33 +17,33 @@ # Data block data read path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 - filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dichroic - b1.fits.gz | arc,tilt | 140.44166666666663 | 37.43222222222222 | Arcs | 600/4310 | 0.5 arcsec | 1,1 | 57162.06664467593 | 1.0 | 30.0 | d55 - b14.fits.gz | bias | 172.34291666666664 | 36.86833333333333 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15420034722 | 1.0 | 0.0 | d55 - b15.fits.gz | bias | 172.41833333333332 | 36.94444444444444 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15440162037 | 1.0 | 0.0 | d55 - b16.fits.gz | bias | 172.49124999999995 | 36.97833333333333 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.154603125 | 1.0 | 0.0 | d55 - b17.fits.gz | bias | 172.5645833333333 | 37.04694444444444 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15480474537 | 1.0 | 0.0 | d55 - b18.fits.gz | bias | 172.63708333333332 | 37.11555555555556 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15500949074 | 1.0 | 0.0 | d55 - b19.fits.gz | bias | 172.71166666666664 | 37.18611111111111 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15521145833 | 1.0 | 0.0 | d55 - b20.fits.gz | bias | 172.78416666666666 | 37.254444444444445 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15541377315 | 1.0 | 0.0 | d55 - b21.fits.gz | bias | 172.85708333333332 | 37.32361111111111 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15561504629 | 1.0 | 0.0 | d55 - b22.fits.gz | bias | 172.93 | 37.3925 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15581597222 | 1.0 | 0.0 | d55 - b23.fits.gz | bias | 173.00166666666667 | 37.4225 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.156018981485 | 1.0 | 0.0 | d55 - b10.fits.gz | pixelflat,illumflat,trace | 144.82041666666666 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07859895833 | 1.0 | 15.0 | d55 - b11.fits.gz | pixelflat,illumflat,trace | 144.955 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07897476852 | 1.0 | 15.0 | d55 - b12.fits.gz | pixelflat,illumflat,trace | 145.0908333333333 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.079351388886 | 1.0 | 15.0 | d55 - b13.fits.gz | pixelflat,illumflat,trace | 145.22791666666666 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.079728240744 | 1.0 | 15.0 | d55 - b2.fits.gz | pixelflat,illumflat,trace | 143.36208333333335 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07473645834 | 1.0 | 30.0 | d55 - b3.fits.gz | pixelflat,illumflat,trace | 143.86791666666667 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07596400463 | 1.0 | 15.0 | d55 - b4.fits.gz | pixelflat,illumflat,trace | 144.00458333333333 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.076341782406 | 1.0 | 15.0 | d55 - b5.fits.gz | pixelflat,illumflat,trace | 144.14041666666665 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07671956019 | 1.0 | 15.0 | d55 - b6.fits.gz | pixelflat,illumflat,trace | 144.27708333333334 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.077096064815 | 1.0 | 15.0 | d55 - b7.fits.gz | pixelflat,illumflat,trace | 144.41291666666666 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07747175926 | 1.0 | 15.0 | d55 - b8.fits.gz | pixelflat,illumflat,trace | 144.54874999999996 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.077847569446 | 1.0 | 15.0 | d55 - b9.fits.gz | pixelflat,illumflat,trace | 144.6845833333333 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.078222916665 | 1.0 | 15.0 | d55 - b27.fits.gz | science | 184.40291666666664 | 39.01111111111111 | J1217p3905 | 600/4310 | 2.0 arcsec | 1,1 | 57162.20663842592 | 1.0 | 1200.0 | d55 - b28.fits.gz | science | 184.40416666666664 | 39.01111111111111 | J1217p3905 | 600/4310 | 2.0 arcsec | 1,1 | 57162.22085034722 | 1.0 | 1200.0 | d55 - b24.fits.gz | standard | 189.47833333333332 | 24.99638888888889 | Feige 66 | 600/4310 | 2.0 arcsec | 1,1 | 57162.17554351852 | 1.039999961853 | 30.0 | d55 + filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dichroic | calib + b1.fits.gz | arc,tilt | 140.44166666666663 | 37.43222222222222 | Arcs | 600/4310 | 0.5 arcsec | 1,1 | 57162.06664467593 | 1.0 | 30.0 | d55 | 0 + b14.fits.gz | bias | 172.34291666666664 | 36.86833333333333 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15420034722 | 1.0 | 0.0 | d55 | 0 + b15.fits.gz | bias | 172.41833333333332 | 36.94444444444444 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15440162037 | 1.0 | 0.0 | d55 | 0 + b16.fits.gz | bias | 172.49124999999995 | 36.97833333333333 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.154603125 | 1.0 | 0.0 | d55 | 0 + b17.fits.gz | bias | 172.5645833333333 | 37.04694444444444 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15480474537 | 1.0 | 0.0 | d55 | 0 + b18.fits.gz | bias | 172.63708333333332 | 37.11555555555556 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15500949074 | 1.0 | 0.0 | d55 | 0 + b19.fits.gz | bias | 172.71166666666664 | 37.18611111111111 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15521145833 | 1.0 | 0.0 | d55 | 0 + b20.fits.gz | bias | 172.78416666666666 | 37.254444444444445 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15541377315 | 1.0 | 0.0 | d55 | 0 + b21.fits.gz | bias | 172.85708333333332 | 37.32361111111111 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15561504629 | 1.0 | 0.0 | d55 | 0 + b22.fits.gz | bias | 172.93 | 37.3925 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15581597222 | 1.0 | 0.0 | d55 | 0 + b23.fits.gz | bias | 173.00166666666667 | 37.4225 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.156018981485 | 1.0 | 0.0 | d55 | 0 + b10.fits.gz | pixelflat,illumflat,trace | 144.82041666666666 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07859895833 | 1.0 | 15.0 | d55 | 0 + b11.fits.gz | pixelflat,illumflat,trace | 144.955 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07897476852 | 1.0 | 15.0 | d55 | 0 + b12.fits.gz | pixelflat,illumflat,trace | 145.0908333333333 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.079351388886 | 1.0 | 15.0 | d55 | 0 + b13.fits.gz | pixelflat,illumflat,trace | 145.22791666666666 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.079728240744 | 1.0 | 15.0 | d55 | 0 + b2.fits.gz | pixelflat,illumflat,trace | 143.36208333333335 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07473645834 | 1.0 | 30.0 | d55 | 0 + b3.fits.gz | pixelflat,illumflat,trace | 143.86791666666667 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07596400463 | 1.0 | 15.0 | d55 | 0 + b4.fits.gz | pixelflat,illumflat,trace | 144.00458333333333 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.076341782406 | 1.0 | 15.0 | d55 | 0 + b5.fits.gz | pixelflat,illumflat,trace | 144.14041666666665 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07671956019 | 1.0 | 15.0 | d55 | 0 + b6.fits.gz | pixelflat,illumflat,trace | 144.27708333333334 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.077096064815 | 1.0 | 15.0 | d55 | 0 + b7.fits.gz | pixelflat,illumflat,trace | 144.41291666666666 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.07747175926 | 1.0 | 15.0 | d55 | 0 + b8.fits.gz | pixelflat,illumflat,trace | 144.54874999999996 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.077847569446 | 1.0 | 15.0 | d55 | 0 + b9.fits.gz | pixelflat,illumflat,trace | 144.6845833333333 | 37.43222222222222 | Dome Flat | 600/4310 | 2.0 arcsec | 1,1 | 57162.078222916665 | 1.0 | 15.0 | d55 | 0 + b27.fits.gz | science | 184.40291666666664 | 39.01111111111111 | J1217p3905 | 600/4310 | 2.0 arcsec | 1,1 | 57162.20663842592 | 1.0 | 1200.0 | d55 | 0 + b28.fits.gz | science | 184.40416666666664 | 39.01111111111111 | J1217p3905 | 600/4310 | 2.0 arcsec | 1,1 | 57162.22085034722 | 1.0 | 1200.0 | d55 | 0 + b24.fits.gz | standard | 189.47833333333332 | 24.99638888888889 | Feige 66 | 600/4310 | 2.0 arcsec | 1,1 | 57162.17554351852 | 1.039999961853 | 30.0 | d55 | 0 data end diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 4e5d4b082e..a4a58183b7 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -236,31 +236,30 @@ CalibrationsPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.CalibrationsPar` -===================== ==================================================== ======= ================================= ========================================================================================================================================================================================= -Key Type Options Default Description -===================== ==================================================== ======= ================================= ========================================================================================================================================================================================= -``alignframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the align frames -``alignment`` :class:`~pypeit.par.pypeitpar.AlignPar` .. `AlignPar Keywords`_ Define the procedure for the alignment of traces -``arcframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the wavelength calibration -``biasframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the bias correction -``bpm_usebias`` bool .. False Make a bad pixel mask from bias frames? Bias frames must be provided. -``darkframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the dark-current correction -``flatfield`` :class:`~pypeit.par.pypeitpar.FlatFieldPar` .. `FlatFieldPar Keywords`_ Parameters used to set the flat-field procedure -``illumflatframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the illumination flat -``lampoffflatsframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the lamp off flats -``master_dir`` str .. ``Masters`` If provided, it should be the name of the folder to write master files. NOT A PATH. -``pinholeframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the pinholes -``pixelflatframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the pixel flat -``raise_chk_error`` bool .. True Raise an error if the calibration check fails -``setup`` str .. .. If masters='force', this is the setup name to be used: e.g., C_02_aa . The detector number is ignored but the other information must match the Master Frames in the master frame folder. -``skyframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the sky background observations -``slitedges`` :class:`~pypeit.par.pypeitpar.EdgeTracePar` .. `EdgeTracePar Keywords`_ Slit-edge tracing parameters -``standardframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the spectrophotometric standard observations -``tiltframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the wavelength tilts -``tilts`` :class:`~pypeit.par.pypeitpar.WaveTiltsPar` .. `WaveTiltsPar Keywords`_ Define how to trace the slit tilts using the trace frames -``traceframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for images used for slit tracing -``wavelengths`` :class:`~pypeit.par.pypeitpar.WavelengthSolutionPar` .. `WavelengthSolutionPar Keywords`_ Parameters used to derive the wavelength solution -===================== ==================================================== ======= ================================= ========================================================================================================================================================================================= +===================== ==================================================== ======= ================================= =========================================================================================================================================================================================================================== +Key Type Options Default Description +===================== ==================================================== ======= ================================= =========================================================================================================================================================================================================================== +``alignframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the align frames +``alignment`` :class:`~pypeit.par.pypeitpar.AlignPar` .. `AlignPar Keywords`_ Define the procedure for the alignment of traces +``arcframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the wavelength calibration +``biasframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the bias correction +``bpm_usebias`` bool .. False Make a bad pixel mask from bias frames? Bias frames must be provided. +``calib_dir`` str .. ``Calibrations`` The name of the directory for the processed calibration frames. The host path for the directory is set by the redux_path (see :class:`ReduxPar`). Beware that success when changing the default value is not well tested! +``darkframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the dark-current correction +``flatfield`` :class:`~pypeit.par.pypeitpar.FlatFieldPar` .. `FlatFieldPar Keywords`_ Parameters used to set the flat-field procedure +``illumflatframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the illumination flat +``lampoffflatsframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the lamp off flats +``pinholeframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the pinholes +``pixelflatframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the pixel flat +``raise_chk_error`` bool .. True Raise an error if the calibration check fails +``skyframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the sky background observations +``slitedges`` :class:`~pypeit.par.pypeitpar.EdgeTracePar` .. `EdgeTracePar Keywords`_ Slit-edge tracing parameters +``standardframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the spectrophotometric standard observations +``tiltframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for the wavelength tilts +``tilts`` :class:`~pypeit.par.pypeitpar.WaveTiltsPar` .. `WaveTiltsPar Keywords`_ Define how to trace the slit tilts using the trace frames +``traceframe`` :class:`~pypeit.par.pypeitpar.FrameGroupPar` .. `FrameGroupPar Keywords`_ The frames and combination rules for images used for slit tracing +``wavelengths`` :class:`~pypeit.par.pypeitpar.WavelengthSolutionPar` .. `WavelengthSolutionPar Keywords`_ Parameters used to derive the wavelength solution +===================== ==================================================== ======= ================================= =========================================================================================================================================================================================================================== ---- @@ -744,19 +743,19 @@ SkySubPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.SkySubPar` -=================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -=================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -``bspline_spacing`` int, float .. 0.6 Break-point spacing for the bspline sky subtraction fits. -``global_sky_std`` bool .. True Global sky subtraction will be performed on standard stars. This should be turned off for example for near-IR reductions with narrow slits, since bright standards can fill the slit causing global sky-subtraction to fail. In these situations we go straight to local sky-subtraction since it is designed to deal with such situations -``joint_fit`` bool .. False Perform a simultaneous joint fit to sky regions using all available slits. Currently, this parameter is only used for IFU data reduction. -``mask_by_boxcar`` bool .. False In global sky evaluation, mask the sky region around the object by the boxcar radius (set in ExtractionPar). -``max_mask_frac`` float .. 0.8 Maximum fraction of total pixels on a slit that can be masked by the input masks. If more than this threshold is masked the code will return zeros and throw a warning. -``no_local_sky`` bool .. False If True, turn off local sky model evaluation, but do fit object profile and perform optimal extraction -``no_poly`` bool .. False Turn off polynomial basis (Legendre) in global sky subtraction -``sky_sigrej`` float .. 3.0 Rejection parameter for local sky subtraction -``user_regions`` str, list .. .. A user-defined sky regions mask can be set using this keyword. To allow the code to identify the sky regions automatically, set this variable to an empty string. If you wish to set the sky regions, The text should be a comma separated list of percentages to apply to _all_ slits For example: The following string :10,35:65,80: would select the first 10%, the inner 30%, and the final 20% of _all_ slits. Alternatively, you can also set the argument to be "master", which will load a MasterSkyRegions file that the user has generated with the pypeit_skysub_regions tool. -=================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +=================== ========== ======= ======= =================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +=================== ========== ======= ======= =================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +``bspline_spacing`` int, float .. 0.6 Break-point spacing for the bspline sky subtraction fits. +``global_sky_std`` bool .. True Global sky subtraction will be performed on standard stars. This should be turned off for example for near-IR reductions with narrow slits, since bright standards can fill the slit causing global sky-subtraction to fail. In these situations we go straight to local sky-subtraction since it is designed to deal with such situations +``joint_fit`` bool .. False Perform a simultaneous joint fit to sky regions using all available slits. Currently, this parameter is only used for IFU data reduction. +``mask_by_boxcar`` bool .. False In global sky evaluation, mask the sky region around the object by the boxcar radius (set in ExtractionPar). +``max_mask_frac`` float .. 0.8 Maximum fraction of total pixels on a slit that can be masked by the input masks. If more than this threshold is masked the code will return zeros and throw a warning. +``no_local_sky`` bool .. False If True, turn off local sky model evaluation, but do fit object profile and perform optimal extraction +``no_poly`` bool .. False Turn off polynomial basis (Legendre) in global sky subtraction +``sky_sigrej`` float .. 3.0 Rejection parameter for local sky subtraction +``user_regions`` str, list .. .. Provides a user-defined mask defining sky regions. By default, the sky regions are identified automatically. To specify sky regions for *all* slits, provide a comma separated list of percentages. For example, setting user_regions = :10,35:65,80: selects the first 10%, the inner 30%, and the final 20% of *all* slits as containing sky. Setting user_regions = user will attempt to load any SkyRegions files generated by the user via the pypeit_skysub_regions tool. +=================== ========== ======= ======= =================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -799,7 +798,7 @@ Key Type Options ``exprng`` list .. None, None Used in identifying frames of this type. This sets the minimum and maximum allowed exposure times. There must be two items in the list. Use None to indicate no limit; i.e., to select exposures with any time greater than 30 sec, use exprng = [30, None]. ``frametype`` str ``align``, ``arc``, ``bias``, ``dark``, ``pinhole``, ``pixelflat``, ``illumflat``, ``lampoffflats``, ``science``, ``standard``, ``trace``, ``tilt``, ``sky`` ``science`` Frame type. Options are: align, arc, bias, dark, pinhole, pixelflat, illumflat, lampoffflats, science, standard, trace, tilt, sky ``process`` :class:`~pypeit.par.pypeitpar.ProcessImagesPar` .. `ProcessImagesPar Keywords`_ Low level parameters used for basic image processing -``useframe`` str .. .. A master calibrations file to use if it exists. +``useframe`` str .. .. A calibrations file to use if it exists. ============= =============================================== ============================================================================================================================================================ ============================ =============================================================================================================================================================================================================================================================== @@ -816,6 +815,7 @@ Class Instantiation: :class:`~pypeit.par.pypeitpar.ProcessImagesPar` Key Type Options Default Description ======================== ========== ====================================== ========== ============================================================================================================================================================================================================================================================================================================================================================ ``apply_gain`` bool .. True Convert the ADUs to electrons using the detector gain +``calib_setup_and_bit`` str .. .. Over-ride the calibration setup and bit, e.g. "A_7". Only recommended for use with quicklook. ``clip`` bool .. True Perform sigma clipping when combining. Only used with combine=mean ``comb_sigrej`` float .. .. Sigma-clipping level for when clip=True; Use None for automatic limit (recommended). ``combine`` str ``median``, ``mean`` ``mean`` Method used to combine multiple frames. Options are: median, mean @@ -824,7 +824,6 @@ Key Type Options De ``grow`` int, float .. 1.5 Factor by which to expand regions with cosmic rays detected by the LA cosmics routine. ``lamaxiter`` int .. 1 Maximum number of iterations for LA cosmics routine. ``mask_cr`` bool .. False Identify CRs and mask them -``master_setup_and_bit`` str .. .. Over-ride the master setup and bit, e.g. "A_7". Only recommended for use with quicklook ``n_lohi`` list .. 0, 0 Number of pixels to reject at the lowest and highest ends of the distribution; i.e., n_lohi = low, high. Use None for no limit. ``noise_floor`` float .. 0.0 Impose a noise floor by adding the provided fraction of the bias- and dark-subtracted electron counts to the error budget. E.g., a value of 0.01 means that the S/N of the counts in the image will never be greater than 100. ``objlim`` int, float .. 3.0 Object detection limit in LA cosmics routine diff --git a/doc/scripts.rst b/doc/scripts.rst index 3d6ad0b7bb..1f494a23c2 100644 --- a/doc/scripts.rst +++ b/doc/scripts.rst @@ -161,7 +161,7 @@ to the screen; e.g.: setups pass scifiles ------ -------- --------------- - A False ALDc200205.fits + A False ALDc200205.fits None True pypeit_obslog diff --git a/doc/scripts/make_example_files.py b/doc/scripts/make_example_files.py index 6f015b79c2..e06edabbfb 100644 --- a/doc/scripts/make_example_files.py +++ b/doc/scripts/make_example_files.py @@ -21,19 +21,18 @@ def make_example_kast_pypeit_file(): - oroot = os.path.join(os.path.split(os.path.abspath(resource_filename('pypeit', '')))[0], - 'doc', 'include') + oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' - droot = os.path.join(os.getenv('PYPEIT_DEV'), 'RAW_DATA/shane_kast_blue/600_4310_d55') - droot += '/' - pargs = setup.Setup.parse_args(['-r', droot, '-s', 'shane_kast_blue', '-c', 'all', '-d', oroot]) + droot = Path(os.getenv('PYPEIT_DEV')).resolve() \ + / 'RAW_DATA' / 'shane_kast_blue' / '600_4310_d55' + + pargs = setup.Setup.parse_args(['-r', str(droot), '-s', 'shane_kast_blue', '-c', 'all', + '-d', str(oroot)]) setup.Setup.main(pargs) - shutil.rmtree(os.path.join(oroot, 'setup_files')) - - ofile = os.path.join(oroot, 'shane_kast_blue_A.pypeit.rst') + ofile = oroot / 'shane_kast_blue_A.pypeit.rst' with open(ofile, 'w') as f: - with open(os.path.join(oroot, 'shane_kast_blue_A', 'shane_kast_blue_A.pypeit'), 'r') as p: + with open(oroot / 'shane_kast_blue_A' / 'shane_kast_blue_A.pypeit', 'r') as p: lines = p.readlines() f.write('.. code-block:: console\n') f.write('\n') @@ -41,14 +40,12 @@ def make_example_kast_pypeit_file(): f.write(' '+l) f.write('\n\n') - shutil.rmtree(os.path.join(oroot, 'shane_kast_blue_A')) + shutil.rmtree(oroot / 'shane_kast_blue_A') def make_example_deimos_pypeit_file(): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' - if (oroot / 'setup_files').exists(): - shutil.rmtree(oroot / 'setup_files') droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'keck_deimos' / '1200G_M_7750' @@ -56,8 +53,6 @@ def make_example_deimos_pypeit_file(): '-d', str(oroot)]) setup.Setup.main(pargs) - shutil.rmtree(oroot / 'setup_files') - ofile = oroot / 'keck_deimos_A.pypeit.rst' with open(ofile, 'w') as f: with open(oroot / 'keck_deimos_A' / 'keck_deimos_A.pypeit', 'r') as p: @@ -74,8 +69,6 @@ def make_example_deimos_pypeit_file(): def make_example_gnirs_pypeit_files(): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' - if (oroot / 'setup_files').exists(): - shutil.rmtree(oroot / 'setup_files') # Create the default pypeit file droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'gemini_gnirs' / '32_SB_SXD' @@ -84,8 +77,6 @@ def make_example_gnirs_pypeit_files(): '-d', str(oroot)]) setup.Setup.main(pargs) - shutil.rmtree(oroot / 'setup_files') - ofile = oroot / 'gemini_gnirs_A.pypeit.rst' with open(ofile, 'w') as f: with open(oroot / 'gemini_gnirs_A' / 'gemini_gnirs_A.pypeit', 'r') as p: @@ -116,8 +107,6 @@ def make_example_gnirs_pypeit_files(): def make_example_nires_pypeit_files(): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' - if (oroot / 'setup_files').exists(): - shutil.rmtree(oroot / 'setup_files') # Create the default pypeit file droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'keck_nires' / 'NIRES' @@ -126,8 +115,6 @@ def make_example_nires_pypeit_files(): '-d', str(oroot)]) setup.Setup.main(pargs) - shutil.rmtree(oroot / 'setup_files') - ofile = oroot / 'keck_nires_A.pypeit.rst' with open(ofile, 'w') as f: with open(oroot / 'keck_nires_A' / 'keck_nires_A.pypeit', 'r') as p: @@ -164,12 +151,14 @@ def make_example_sorted_file(): ps = pypeitsetup.PypeItSetup(files, spectrograph_name='keck_deimos') ps.run(setup_only=True) - sfile = os.path.abspath('keck_deimos.sorted') - oroot = os.path.join(os.path.split(os.path.abspath(resource_filename('pypeit', '')))[0], - 'doc', 'include') - ofile = os.path.join(oroot, 'keck_deimos.sorted.rst') + # Write the sorted file, + sorted_file = Path().resolve() / ps.pypeit_file.replace('.pypeit', '.sorted') + ps.fitstbl.write_sorted(sorted_file) + + oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' + ofile = oroot / 'keck_deimos.sorted.rst' with open(ofile, 'w') as f: - with open(sfile, 'r') as p: + with open(sorted_file, 'r') as p: lines = p.readlines() f.write('.. code-block:: console\n') f.write('\n') @@ -177,7 +166,7 @@ def make_example_sorted_file(): f.write(' '+l) f.write('\n\n') - os.remove(sfile) + os.remove(sorted_file) def make_meta_examples(): diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index 1ee07e6d3d..c3a394ef53 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -1,4 +1,3 @@ -# TODO: This docstring needs to be updated!! """ The primary purpose of this module is to provide the classes/methods used to trace slit edges. @@ -26,7 +25,7 @@ Programmatically, if you have a :ref:`pypeit_file` and a path for the reductions (`redux_path`), an example of how to trace the slits in a single -detector is as follows:A +detector is as follows: .. code-block:: python @@ -75,7 +74,7 @@ If you want to instead start without a pypeit file, you could do the following for, e.g., a single unbinned Keck DEIMOS flat-field -exposure in a fits file called `trace_file`:: +exposure in a fits file called `trace_file`: .. code-block:: python diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 531a68cf66..ed32102d7f 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3922,12 +3922,11 @@ class CalibrationsPar(ParSet): For a table with the current keywords, defaults, and descriptions, see :ref:`parameters`. """ - def __init__(self, calib_dir=None, setup=None, bpm_usebias=None, biasframe=None, - darkframe=None, arcframe=None, tiltframe=None, pixelflatframe=None, - pinholeframe=None, alignframe=None, alignment=None, traceframe=None, - illumflatframe=None, lampoffflatsframe=None, skyframe=None, - standardframe=None, flatfield=None, wavelengths=None, slitedges=None, tilts=None, - raise_chk_error=None): + def __init__(self, calib_dir=None, bpm_usebias=None, biasframe=None, darkframe=None, + arcframe=None, tiltframe=None, pixelflatframe=None, pinholeframe=None, + alignframe=None, alignment=None, traceframe=None, illumflatframe=None, + lampoffflatsframe=None, skyframe=None, standardframe=None, flatfield=None, + wavelengths=None, slitedges=None, tilts=None, raise_chk_error=None): # Grab the parameter names and values from the function @@ -4087,7 +4086,7 @@ def from_dict(cls, cfg): k = np.array([*cfg.keys()]) # Basic keywords - parkeys = [ 'calib_dir', 'setup', 'bpm_usebias', 'raise_chk_error'] + parkeys = [ 'calib_dir', 'bpm_usebias', 'raise_chk_error'] allkeys = parkeys + ['biasframe', 'darkframe', 'arcframe', 'tiltframe', 'pixelflatframe', 'illumflatframe', 'lampoffflatsframe', diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index fb4b687c3b..996b251a30 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -166,7 +166,8 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse=False, lognam self.show = show # Set paths - self.calibrations_path = os.path.join(self.par['rdx']['redux_path'], self.par['calibrations']['calib_dir']) + self.calibrations_path = os.path.join(self.par['rdx']['redux_path'], + self.par['calibrations']['calib_dir']) # Check for calibrations if not self.calib_only: @@ -752,7 +753,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): and self.par['scienceframe']['process']['spat_flexure_correct']) or \ (self.objtype == 'standard' and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): - spat_flexure_shift = self.sciImg.spat_flexure + spat_flexure_shift = sciImg.spat_flexure initial_skymask = self.load_skyregions(sciImg.files[0], frames[0], spat_flexure_shift, initial_slits=self.spectrograph.pypeline != 'IFU') diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 9c9ba877f5..9bda4eaad2 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -286,7 +286,7 @@ def get_parser(cls, width=None): help="Full path to where QL reduction should be run.") parser.add_argument("--calib_dir", type=str, help="Location folders of calibration reductions") - parser.add_argument("--calib_dir", type=str, + parser.add_argument("--masters_dir", type=str, help="Location of PypeIt calibration files used for the reduction.") parser.add_argument("--calibs_only", default=False, action="store_true", help='Reduce only the calibrations?') From 7bb0fbcbc7db210f99c79fd6d4bf29e59ff5e2d9 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 28 Mar 2023 11:22:22 -0700 Subject: [PATCH 128/308] minor --- pypeit/pypeit.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 996b251a30..04537a98f6 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -765,8 +765,8 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): # Instantiate Reduce object # Required for pypeline specific object # At instantiaton, the fullmask in self.sciImg is modified - objFind = find_objects.FindObjects.get_instance(sciImg, self.caliBrate.slits, self.spectrograph, - self.par, self.objtype, + objFind = find_objects.FindObjects.get_instance(sciImg, self.caliBrate.slits, + self.spectrograph, self.par, self.objtype, wv_calib=self.caliBrate.wv_calib, waveTilts=self.caliBrate.wavetilts, initial_skymask=initial_skymask, From 5d2b29fc4e797d668b361f18b27daa1c7bdb710d Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 28 Mar 2023 13:15:57 -0700 Subject: [PATCH 129/308] deprecated script utils with lots of edits --- pypeit/deprecated/script_utils.py | 319 ++++++++++++++++++++++++++++++ 1 file changed, 319 insertions(+) create mode 100644 pypeit/deprecated/script_utils.py diff --git a/pypeit/deprecated/script_utils.py b/pypeit/deprecated/script_utils.py new file mode 100644 index 0000000000..088bd8ffeb --- /dev/null +++ b/pypeit/deprecated/script_utils.py @@ -0,0 +1,319 @@ +""" +This file contains a series of utility functions +that can be used with the PypeIt scripts. + +.. include common links, assuming primary doc root is up one directory +.. include:: ../include/links.rst +""" + +import os +import numpy as np +from configobj import ConfigObj + +from astropy.table import Table + +from pypeit.spectrographs.util import load_spectrograph +from pypeit.par import PypeItPar +from pypeit.metadata import PypeItMetaData +from pypeit.core import procimg +from pypeit import msgs +from pypeit import slittrace +from pypeit.pypeitsetup import PypeItSetup +from pypeit.inputfiles import PypeItFile + + +class Utilities: + """ + Class with convenience functions for pypeit scripts. + + None of the functions in this script should be used by the reduction code. + + Args: + pypeit_file (:obj:`str`, optional): + Name of the pypeit file to read + spectrograph (:obj:`str`, optional): + Name of the spectrograph to load. If None, no spectrograph class is + instantiated. + iFile (:obj:`int`, optional): + 0-indexed number of a selected frame in the pypeit file + det (:obj:`int`, :obj:`tuple`, optional): + The detector/mosaic to process. + + Attributes: + pypeit_file (:obj:`str`): + The name of the input .pypeit file used for reduction. + pypeitFile (:obj:`~pypeit.inputfiles.PypeItFile`): + Object containing the data read from the pypeit file + det (:obj:`int`, :obj:`tuple`): + Detector/Mosoic identifier + iFile (:obj:`int`): + 0-indexed number of a selected frame in the pypeit file + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): + The spectrograph used to collect the data. + par (:class:`~pypeit.par.pypeitpar.PypeItPar`): + PypeIt parameters used to set the code behavior. + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): + Object with the metadata pulled from all headers of all the files in + the pypeit file. + calib_dir (`Path`_): + Path where the processed calibration files are stored. + """ + def __init__(self, pypeit_file=None, spectrograph=None, iFile=None, det=0): + self.load_pypeit(pypeit_file) + self.det = det + if spectrograph is None: + return + self.load_spectrograph(spectrograph) + if iFile is None: + return + self.load_par(iFile=iFile) + self.load_metadata() + + def _reinit(self): + """Reset all the attributes.""" + self.pypeit_file = None + self.pypeitFile = None + self.det = None + self.iFile = None + self.spectrograph = None + self.par = None + self.fitstbl = None + self.calib_dir = None + + def load_pypeit(self, pypeit_file): + """ + Read the pypeit file. + + Args: + pypeit_file (:obj:`str`): + Name of the file to read. If None, the object is reinitialized! + """ + if pypeit_file is None: + self._reinit() + return + self.pypeit_file = pypeit_file + msgs.info(f'Loading the PypeIt file: {self.pypeit_file}') + self.pypeItFile = PypeItFile.from_file(self.pypeit_file) + + def load_spectrograph(self, spectrograph): + """ + Instantiate the spectrograph object. + + Args: + spectrograph (:obj:`str`): + Name of the spectrograph to load. If None, will try to pull the + name of the spectrograph from the ingested pypeit file + configuration parameters. If that also fails, an error is + raised. + """ + if spectrograph is None: + try: + spectrograph = ConfigObj(self.pypeitFile.cfg_lines)['rdx']['spectrograph'] + except: + spectrograph = None + if spectrograph is None: + msgs.error('Spectrograph not provided and could not be loaded from pypeit file.') + self.spectrograph = load_spectrograph(spectrograph) + + def load_par(self, iFile=None): + """ + Load the pypeit parameters. + + Args: + iFile (:obj:`int`, optional): + 0-indexed number of a selected frame in the pypeit file. This + frame is used to set the configuration-specific parameters. If + None, the first file in the pypeit file is used. + """ + if self.pypeitFile is None or self.spectrograph is None: + msgs.error('Must first load pypeit file and spectrograph to get parameters') + self.iFile = iFile + if self.iFile is None: + msgs.warn('No example file selected. Configuration specific parameters will use ' + 'first file listed in the pypeit file.') + self.iFile = 0 + spectrograph_cfg_lines = self.spectrograph.config_specific_par( + self.pypeitFile.filenames[self.iFile]).to_config() + # Load the parset + self.par = PypeItPar.from_cfg_lines(cfg_lines=spectrograph_cfg_lines, + merge_with=(self.pypeitFile.cfg_lines,)) + + def load_metadata(self): + """ + Use the ingested pypeit file data to build the metadata + (:attr:`fitstbl`). + """ + if self.spectrograph is None or self.par is None or self.pypeitFile is None: + msgs.error('To get metadata, must set spectrograph, par, and read pypeit file.') + msgs.info('Compiling metadata') + self.fitstbl = PypeItMetaData(self.spectrograph, self.par, files=self.pypeItFile.filenames, + usrdata=self.pypeItFile.data, strict=True) + self.fitstbl.finalize_usr_build(self.pypeItFile.frametypes, self.pypeItFile.setup_name) + + def load_calib_dir(self): + """ + Load the directory for/with the processed calibration frames + (:attr:`calib_dir`). + """ + if self.par is None: + msgs.error('Must first get the pypeit parameters.') + self.calib_dir = Path(self.par['rdx']['redux_path']).resolve() \ + / self.par['calibrations']['calib_dir'] + + if not self.calib_dir.exists(): + calib_dir_base = Path().resolve() / self.calib_dir.name + msgs.warn(f'Calibration directory set by parameters does not exist: {self.calib_dir}. ' + f'Trying {calib_dir_base}') + if not calib_dir_base.exists(): + msgs.error(f'{calib_dir_base} also does not exist. Cannot set valid calibration ' + 'directory.') + self.calib_dir = calib_dir_base + + def set_index(self, iFile): + """ + Set the index of the example file from the pypeit file (:attr:`iFile`). + + Args: + iFile (:obj:`int`): + The index of the file in the pypeit file. If None, use + :attr:`iFile`. If that is also None, an error is raised. An + error is also raised if the file index is less than 0 or more + than the number of files in the pypeit file. + """ + if iFile is None: + iFile = self.iFile + if iFile is None: + msgs.error('Must select file index') + nfiles = len(self.pypeitFile.filenames) + if iFile < 0 or iFile >= nfiles: + msgs.error('Selected file index not within range of ingested pypeit file: ' + f'{self.pypeit_file} contains {nfiles} files.') + self.iFile = iFile + + def get_basename(self, iFile=None): + """ + Get the name of the file at the specified index in the pypeit file. + + Only the file name is returned, not its full path. + + Args: + iFile (:obj:`int`): + The index of the file in the pypeit file; see :func:`set_index`. + + Returns: + :obj:`str`: The name of the file. + """ + if self.pypeitFile is None: + msgs.error('Must first load pypeit file') + self.set_index(iFile) + return Path(self.pypeitFile.filenames[self.iFile]).revolve().name + + def load_frame(self, iFile=None): + """ + Load, trim, and re-orient the specified file. + + Args: + iFile (:obj:`int`): + The index of the file in the pypeit file; see :func:`set_index`. + + Returns: + `numpy.ndarray`_: The image data. + """ + if self.pypeitFile is None or self.spectrograph is None: + msgs.error('Must first load pypeit file and spectrograph') + if self.det is None: + msgs.error('Must provide detector number(s).') + self.set_index(iFile) + detpar, rawimage, _, _, datasec, _ \ + = self.spectrograph.get_rawimage(self.pypeitFile.filenames[self.iFile], self.det) + rawimage = procimg.trim_frame(rawimage, datasec < 1) + return self.spectrograph.orient_image(detpar, rawimage) + + def select_science_frame(self, use_first=False, standard=False): + """ + Find all of the indices that correspond to science frames. + """ + if self.pypeitFile is None: + msgs.error('Must first load pypeit file') + sciidx = np.array([], dtype=int) + cntr = 0 + print("\nList of science frames:") + for tt in range(len(self.pypeitFile.data)): + ftype = self.pypeitFile.data['frametype'][tt].split(",") + for ff in range(len(ftype)): + if ftype[ff] == "science" or (standard and ftype[ff] == "standard"): + sciidx = np.append(sciidx, tt) + print(" ({0:d}) {1:s} ({2:s} frame)".format(cntr+1, + self.pypeitFile.data['filename'][tt], ftype[ff])) + cntr += 1 + break + # Determine which science frame the user wants + if cntr == 1: + msgs.info("Only one frame listed in .pypeit file - using that frame") + return sciidx[0] + if use_first: + return sciidx[0] + + # Interactively select the frame to use + ans = '' + while True: + ans = input(f' Which frame would you like to select [1-{cntr}]: ') + try: + ans = int(ans) + if 1 <= ans <= cntr: + return sciidx[ans-1] + except ValueError: + msgs.info("That is not a valid option!") + + def get_calib_key(self, iFile=None): + """ + Get the calibration key for a given file. + + Args: + iFile (:obj:`int`, optional): + Index of the file in the ingested pypeit file. If None, use + :attr:`iFile`. + + Returns: + :obj:`str`: Calibration key. + """ + if self.fitstbl is None: + msgs.error('Must first be able to create PypeItMetaData object. Make sure you have ' + 'provided the pypeit file and spectrograph.') + if self.det is None: + msgs.error('Must provide detector number(s) to find slit calibration frame file.') + self.set_index(iFile) + setup = self.fitstbl['setup'][self.iFile] + calib_id = CalibFrame.ingest_calib_id(self.fitstbl['calib'][self.iFile]) + detname = self.spectrograph.get_det_name(self.det) + return CalibFrame.construct_calib_key(setup, calib_id, detname) + + def get_slits(self, iFile=None): + """ + Find the slits calibration frame associated with a given file. + + Args: + iFile (:obj:`int`, optional): + Index of the file in the ingested pypeit file. If None, use + :attr:`iFile`. + + Returns: + :class:`~pypeit.slittrace.SlitTraceSet`: The object containing the + slit information. + """ + if self.fitstbl is None: + msgs.error('Must first be able to create PypeItMetaData object. Make sure you have ' + 'provided the pypeit file and spectrograph.') + if self.det is None: + msgs.error('Must provide detector number(s) to find slit calibration frame file.') + if self.calib_dir is None: + self.load_calib_dir() + calib_key = self.get_calib_key(iFile=iFile) + + # Construct the expected calibration frame file name + slits_file = Path(slittrace.SlitTraceSet.construct_file_name(calib_key, + calib_dir=self.calib_dir)).resolve() + if not slits_file.exists(): + msgs.error(f'Slit calibration frame does not exist: {slits_file}') + return slittrace.SlitTraceSet.from_file(slits_file) + From 9be6dede431ab71aab12f09fff71b113503874a6 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 28 Mar 2023 13:25:54 -0700 Subject: [PATCH 130/308] minor clean-up --- pypeit/calibframe.py | 6 +++--- pypeit/calibrations.py | 2 -- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index bea38c6878..ae716dda0c 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -87,8 +87,8 @@ def set_paths(self, odir, setup, calib_id, detname): Set the internals necessary to construct the IO path for the calibration file. - Nothing is returned; this function is used to set :attr:`calib_dir`, :attr:`calib_id`, and - :attr:`calib_key`. + Nothing is returned; this function is used to set :attr:`calib_dir`, + :attr:`calib_id`, and :attr:`calib_key`. Args: odir (:obj:`str`, `Path`_): @@ -100,7 +100,7 @@ def set_paths(self, odir, setup, calib_id, detname): Identifiers for one or more calibration groups for this calibration frame. The individual string and the string elements of the list must be single numbers. The only exception - is the string 'all'. + is the string `'all'`. detname (:obj:`str`): The identifier used for the detector or detector mosaic for the relevant instrument; see diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index f0e72eea4c..63fa8c7b88 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -156,8 +156,6 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.frame = None self.binning = None -# self.shape = None - self.msarc = None self.mstilt = None self.alignments = None From 5e9c36ee17ee56f3cb70c933541923cc48b2d0fd Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Tue, 28 Mar 2023 12:38:55 -1000 Subject: [PATCH 131/308] fix a bug --- pypeit/specobj.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/specobj.py b/pypeit/specobj.py index 910214396f..09c6a7f3e0 100644 --- a/pypeit/specobj.py +++ b/pypeit/specobj.py @@ -343,7 +343,7 @@ def med_s2n(self): """ SN = 0. for pref in ['OPT', 'BOX']: - if self[pref+'_COUNTS'] is not None: + if self[pref+'_COUNTS'] is not None and np.any(self[pref+'_MASK']): SN = np.median(self[pref+'_COUNTS'][self[pref+'_MASK']] * np.sqrt(self[pref+'_COUNTS_IVAR'][self[pref+'_MASK']])) if SN != 0.: From fe10da2b526e5fcc7c0d3b9a1f1ad0147db695e2 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 29 Mar 2023 09:50:23 -0700 Subject: [PATCH 132/308] debugging + association tests --- pypeit/calibrations.py | 183 +++++++++++++++++++----------- pypeit/images/buildimage.py | 21 ++-- pypeit/images/pypeitimage.py | 17 ++- pypeit/pypeit.py | 13 ++- pypeit/spec2dobj.py | 12 +- pypeit/tests/test_arcimage.py | 4 +- pypeit/tests/test_calibrations.py | 63 +++++++++- 7 files changed, 221 insertions(+), 92 deletions(-) diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 63fa8c7b88..0062b2184e 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -743,9 +743,7 @@ def get_slits(self): lampoff_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['lampoffflatsframe'], raw_lampoff_files, dark=self.msdark, - bias=self.msbias, bpm=self.msbpm, - calib_dir=self.calib_dir, setup=setup, - calib_id=calib_id) + bias=self.msbias, bpm=self.msbpm) self.traceImage = self.traceImage.sub(lampoff_flat) self.edges = edgetrace.EdgeTraceSet(self.traceImage, self.spectrograph, @@ -767,19 +765,6 @@ def get_slits(self): if self.user_slits is not None: self.slits.user_mask(detname, self.user_slits) - # User mask? -# if self.user_slits is not None: -# # Parse the DET/MSC name -# if isinstance(self.det, tuple): -# detname = self.spectrograph.list_detectors( -# mosaic=True)[self.spectrograph.allowed_mosaics.index(self.det)] -# elif isinstance(self.det, int): -# detname = self.spectrograph.list_detectors()[self.det-1] -# else: -# msgs.error("Bad type for self.det") -# -# self.slits.user_mask(detname, self.user_slits) - return self.slits def get_wv_calib(self): @@ -969,39 +954,43 @@ def __repr__(self): return txt @staticmethod - def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=None, - overwrite=False): + def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_exist=True, + subset=None, include_science=False): """ - Write a file listing the associations between the processed calibration - frames and their source raw files for every setup and every calibration - group. + Construct a dictionary with the association between raw files and + processed calibration frames. Args: - ofile (:obj:`str`, `Path`_): - Full path to the output file. fitstbl (:class:`pypeit.metadata.PypeItMetaData`): The class holding the metadata for all the frames to process. spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph object caldir (:obj:`str`, `Path`_): Path for the processed calibration frames. + setup (:obj:`str`): + The setup/configuration of the association. + calib_ID (:obj:`str`, :obj:`int`): + The *single* calibration group of the association. + det (:obj:`int`, :obj:`tuple`): + The detector/mosaic of the association. + must_exist (:obj:`bool`, optional): + If True, only *existing* calibration frames in the association + are included. If False, the nominal set of calibration file + names are returned. subset (`numpy.ndarray`_, optional): A boolean array selecting a subset of rows from ``fitstbl`` for output. - det (:obj:`int`, :obj:`tuple`, optional): - The specific detector (or mosaic) to use when constructing the - output processed calibration group file names. If None, a - placeholder is used. - overwrite (:obj:`bool`, optional): - Overwrite any existing file of the same name. + include_science (:obj:`bool`, optional): + Include science and standard frames in the association. + + Returns: + :obj:`dict`: The set of raw and processed calibration frames + associated with the selected calibration group. This does *not* + include any science or standard frames. """ if fitstbl.calib_groups is None: msgs.error('Calibration groups have not been defined!') - _ofile = Path(ofile).resolve() - if _ofile.exists() and not overwrite: - msgs.error(f'{_ofile} exists! To overwrite, set overwrite=True.') - _caldir = str(Path(caldir).resolve()) # This defines the classes used by each frametype that results in an @@ -1018,20 +1007,107 @@ def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=N } # Get the name of the detector/mosaic - detname = spectrograph.get_det_name(1 if det is None else det) + detname = spectrograph.get_det_name(det) # Find the unique configuations in the metaddata + asn = {} setups = fitstbl.unique_configurations(copy=True, rm_none=True) + if setup not in setups: + return asn + + # Subset to output + if subset is None: + subset = np.ones(len(fitstbl), dtype=bool) + + in_setup = fitstbl.find_configuration(setup) & subset + if not any(in_setup): + return asn + + # Find all the frames in this calibration group + in_grp = fitstbl.find_calib_group(calib_ID) & in_setup + if not any(in_grp): + return asn + + # Iterate through each frame type + for frametype, calib_classes in frame_calibrations.items(): + indx = fitstbl.find_frames(frametype) & in_grp + if not any(indx): + continue + if not all(fitstbl['calib'][indx] == fitstbl['calib'][indx][0]): + msgs.error(f'CODING ERROR: All {frametype} frames in group {calib_ID} ' + 'are not all associated with the same subset of calibration ' + 'groups; calib for the first file is ' + f'{fitstbl["calib"][indx][0]}.') + calib_key = CalibFrame.construct_calib_key(setup, fitstbl['calib'][indx][0], + detname) + asn[frametype] = {} + asn[frametype]['raw'] = fitstbl.frame_paths(indx) + asn[frametype]['proc'] \ + = [str(calib_class.construct_file_name(calib_key, calib_dir=_caldir)) + for calib_class in frame_calibrations[frametype]] + if must_exist: + asn[frametype]['proc'] \ + = [file for file in asn[frametype]['proc'] if Path(file).exists()] + + if include_science: + # Add any science and standard (and sky?) frames + for frametype in ['science', 'standard']: + indx = fitstbl.find_frames(frametype) & in_grp + if not any(indx): + continue + asn[frametype] = fitstbl.frame_paths(indx) + + return asn + + @staticmethod + def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=None, + overwrite=False): + """ + Write a file listing the associations between the processed calibration + frames and their source raw files for every setup and every calibration + group. + + Args: + ofile (:obj:`str`, `Path`_): + Full path to the output file. + fitstbl (:class:`pypeit.metadata.PypeItMetaData`): + The class holding the metadata for all the frames to process. + spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): + Spectrograph object + caldir (:obj:`str`, `Path`_): + Path for the processed calibration frames. + subset (`numpy.ndarray`_, optional): + A boolean array selecting a subset of rows from ``fitstbl`` for + output. + det (:obj:`int`, :obj:`tuple`, optional): + The specific detector (or mosaic) to use when constructing the + output processed calibration group file names. If None, a + placeholder is used. + overwrite (:obj:`bool`, optional): + Overwrite any existing file of the same name. + """ + if fitstbl.calib_groups is None: + msgs.error('Calibration groups have not been defined!') + + _ofile = Path(ofile).resolve() + if _ofile.exists() and not overwrite: + msgs.error(f'{_ofile} exists! To overwrite, set overwrite=True.') + + _det = 1 if det is None else det + detname = spectrograph.get_det_name(_det) # Subset to output if subset is None: subset = np.ones(len(fitstbl), dtype=bool) - cfg = {} + # Find the unique configuations in the metaddata + setups = fitstbl.unique_configurations(copy=True, rm_none=True) + + asn = {} # Iterate through each setup for setup in setups.keys(): - cfg[setup] = {} - cfg[setup]['--'] = deepcopy(setups[setup]) + asn[setup] = {} + asn[setup]['--'] = deepcopy(setups[setup]) in_setup = fitstbl.find_configuration(setup) & subset if not any(in_setup): continue @@ -1042,33 +1118,10 @@ def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=N if not any(in_grp): continue - cfg[setup][calib_ID] = {} - - # First list the science and standard (and sky?) frames in this - # calibration group - for frametype in ['science', 'standard']: - indx = fitstbl.find_frames(frametype) & in_grp - if not any(indx): - continue - cfg[setup][calib_ID][frametype] = fitstbl.frame_paths(indx) - - # Iterate through each frame type - for frametype, calib_classes in frame_calibrations.items(): - indx = fitstbl.find_frames(frametype) & in_grp - if not any(indx): - continue - if not all(fitstbl['calib'][indx] == fitstbl['calib'][indx][0]): - msgs.error(f'CODING ERROR: All {frametype} frames in group {calib_ID} ' - 'are not all associated with the same subset of calibration ' - 'groups; calib for the first file is ' - f'{fitstbl["calib"][indx][0]}.') - calib_key = CalibFrame.construct_calib_key(setup, fitstbl['calib'][indx][0], - detname) - cfg[setup][calib_ID][frametype] = {} - cfg[setup][calib_ID][frametype]['raw'] = fitstbl.frame_paths(indx) - cfg[setup][calib_ID][frametype]['proc'] \ - = [str(calib_class.construct_file_name(calib_key, calib_dir=_caldir)) - for calib_class in frame_calibrations[frametype]] + asn[setup][calib_ID] \ + = Calibrations.get_association(fitstbl, spectrograph, caldir, setup, + calib_ID, _det, must_exist=False, + subset=subset, include_science=True) # Write it with open(_ofile, 'w') as ff: @@ -1077,7 +1130,7 @@ def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=N ff.write(f'# UTC {datetime.utcnow().isoformat(timespec="milliseconds")}\n') if det is None: ff.write(f'# NOTE: {detname} is a placeholder for the reduced detectors/mosaics\n') - ff.write(yaml.dump(utils.yamlify(cfg))) + ff.write(yaml.dump(utils.yamlify(asn))) msgs.info(f'Calibration association file written to: {_ofile}') diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index ba26c053c3..aed9878c08 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -133,8 +133,6 @@ def construct_file_name(cls, calib_key, calib_dir=None, basename=None): return filename.replace(f'.{cls.calib_file_format}', f'_{basename}.{cls.calib_file_format}') -# Convert frame type into an Image. These all should subclass from -# PypeItCalibrationImage. frame_image_classes = dict( bias=BiasImage, dark=DarkImage, @@ -143,8 +141,11 @@ def construct_file_name(cls, calib_key, calib_dir=None, basename=None): trace=TraceImage, align=AlignImage) """ -The list of classes that :func:`buildimage_fromlist` should use to decorate for -the specified frame types. +The list of classes that :func:`buildimage_fromlist` should use to decorate the +output for the specified frame types. + +All of these **must** subclass from +:class:`~pypeit.images.pypeitimage.PypeItCalibrationImage`. """ @@ -250,11 +251,11 @@ def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm= cls = frame_image_classes[frame_par['frametype']] \ if frame_par['frametype'] in frame_image_classes.keys() else None - # Decorate and return according to the type of calibration, primarily as - # needed for handling calibration images. WARNING: Any internals (i.e., the - # ones defined by the _init_internals method) in pypeitImage are lost here. + # Either return the image directly, or decorate and return according to the + # type of calibration. For the latter, this specific use of + # from_pypeitimage means that the class must be a subclass of + # PypeItCalibrationImage! return pypeitImage if cls is None \ - else cls.from_pypeitimage(pypeitImage, calib_dir, setup, calib_id, - spectrograph.get_det_name(det)) - + else cls.from_pypeitimage(pypeitImage, calib_dir=calib_dir, setup=setup, + calib_id=calib_id, detname=spectrograph.get_det_name(det)) diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index cf73899e74..5f1783fcb0 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -778,7 +778,7 @@ def sub(self, other): # TODO: Instead raise an error if they're not the same new_units = self.units if self.units == other.units else None - # Create the new image + # Create the new image. # TODO: We should instead *copy* the detector object; otherwise, it's # possible that it will be shared between multiple images. Nominally, # this should be okay because the detector data is meant to be static, @@ -792,7 +792,11 @@ def sub(self, other): if self.files is not None and other.files is not None: new_pypeitImage.files = self.files + other.files - return new_pypeitImage + # Return the result using the `from_pypeitimage` instantiation method to + # ensure the type of the output image is identical to the type of self. + # It does not matter whether it's done here or above when instantiating + # new_pypeitimage. Both properly propagate the `files` attribute. + return self.__class__.from_pypeitimage(new_pypeitImage) def show(self): """ @@ -953,3 +957,12 @@ def build_header(self, hdr=None): """ return CalibFrame.build_header(self, hdr=PypeItImage.build_header(self, hdr=hdr)) + def sub(self, other): + """ + Over-ride subtraction function from :class:`PypeItImage` to ensure that + the internals are propagated. + """ + result = super().sub(other) + result.copy_calib_keys(self) + return result + diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 2297f74b39..cc64cd3e77 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -379,6 +379,8 @@ def reduce_all(self): history.add_reduce(calib_ID, self.fitstbl, frames, bg_frames) std_spec2d, std_sobjs = self.reduce_exposure(frames, bg_frames=bg_frames) + embed() + exit() # TODO come up with sensible naming convention for save_exposure for combined files self.save_exposure(frames[0], std_spec2d, std_sobjs, self.basename, history) else: @@ -635,13 +637,14 @@ def get_sci_metadata(self, frame, det): binning = self.fitstbl['binning'][frame] obstime = self.fitstbl.construct_obstime(frame) basename = self.fitstbl.construct_basename(frame, obstime=obstime) - objtype = self.fitstbl['frametype'][frame] - if objtype == 'science': + types = self.fitstbl['frametype'][frame].split(',') + if 'science' in types: objtype_out = 'science' - elif objtype == 'standard': + elif 'standard' in types: objtype_out = 'standard' else: - msgs.error('Unrecognized objtype') + msgs.error('get_sci_metadata() should only be run on standard or science frames. ' + f'Types of this frame are: {types}') calib_key = CalibFrame.construct_calib_key(self.fitstbl['setup'][frame], self.fitstbl['calib'][frame], self.spectrograph.get_det_name(det)) @@ -715,7 +718,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): msgs.info("Object finding begins for {} on det={}".format(self.basename, det)) # Is this a standard star? - self.std_redux = 'standard' in self.objtype + self.std_redux = self.objtype == 'standard' frame_par = self.par['calibrations']['standardframe'] if self.std_redux else self.par['scienceframe'] # Get the standard trace if need be diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index 8cd5089b48..272fd1d6e8 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -166,13 +166,13 @@ def from_hdu(cls, hdu, detname, chk_version=True): if has_mask: ext.remove(mask_ext) - slf = super().from_hdu(hdu, ext=ext, hdu_prefix=f'{detname}-', chk_version=chk_version) + self = super().from_hdu(hdu, ext=ext, hdu_prefix=f'{detname}-', chk_version=chk_version) if has_mask: - slf.bpmmask = imagebitmask.ImageBitMaskArray.from_hdu(hdu[mask_ext], ext_pseudo='MASK', - chk_version=chk_version) - slf.head0 = hdu[0].header - slf.chk_version = chk_version - return slf + self.bpmmask = imagebitmask.ImageBitMaskArray.from_hdu(hdu[mask_ext], ext_pseudo='MASK', + chk_version=chk_version) + self.head0 = hdu[0].header + self.chk_version = chk_version + return self def __init__(self, sciimg, ivarraw, skymodel, objmodel, ivarmodel, scaleimg, waveimg, bpmmask, detector, sci_spat_flexure, sci_spec_flexure, diff --git a/pypeit/tests/test_arcimage.py b/pypeit/tests/test_arcimage.py index 61dc17dd73..4bc849baf0 100644 --- a/pypeit/tests/test_arcimage.py +++ b/pypeit/tests/test_arcimage.py @@ -30,9 +30,9 @@ def test_io(): pypeitImage.detector = detector_container.DetectorContainer(**def_det) pypeitImage.PYP_SPEC = 'shane_kast_blue' # Now the arcimage - arcImage = buildimage.ArcImage.from_pypeitimage(pypeitImage) + arcImage = buildimage.ArcImage.from_pypeitimage(pypeitImage, calib_dir=data_path(''), + setup='A', calib_id=['1']) # Set paths and check name - arcImage.set_paths(data_path(''), 'A', ['1'], 'DET01') ofile = Path(arcImage.get_path()).resolve() assert str(ofile) == data_path('Arc_A_1_DET01.fits'), 'Calibration file name changed' # Write diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index f62fd493c3..0c609adc63 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -4,9 +4,8 @@ """ from pathlib import Path import os - +import yaml import pytest -import glob import shutil import numpy as np @@ -141,3 +140,63 @@ def test_bpm(multi_caliBrate): # - get_tilts +def test_asn(multi_caliBrate): + caldir = Path().resolve() + ofile = caldir / 'test.calib' + if ofile.exists(): + ofile.unlink() + + calibrations.Calibrations.association_summary(ofile, multi_caliBrate.fitstbl, + multi_caliBrate.spectrograph, caldir, + overwrite=True) + + # Read yaml file and test contents + with open(ofile, 'r') as f: + asn = yaml.safe_load(f) + + assert list(asn.keys()) == ['A'], 'Wrong setup list' + assert list(asn['A'].keys()) == ['--', 0], 'Wrong A setup keys' + arc_file = Path(asn['A'][0]['arc']['proc'][0]).name + assert arc_file == 'Arc_A_0_DET01.fits', 'Wrong calibration arc frame name' + assert 'science' in asn['A'][0].keys(), 'Association file should include science frames' + + # Clean-up + ofile.unlink() + +def test_asn_calib_ID_dict(multi_caliBrate): + + caldir = Path().resolve() + setup = 'A' + calib_ID = 0 + det = 1 + # Force recorded calibration files to exist + asn = calibrations.Calibrations.get_association(multi_caliBrate.fitstbl, + multi_caliBrate.spectrograph, caldir, setup, + calib_ID, det, must_exist=True) + + assert 'arc' in list(asn.keys()), 'Should find arc files in association' + assert 'science' not in list(asn.keys()), 'Should not include science frames' + assert len(asn['arc']['proc']) == 0, 'None of the processed calibration frames should exist' + assert len(asn['arc']['raw']) == 1, 'Should be 1 raw arc frame' + assert len(asn['pixelflat']['raw']) == 2, 'Should be 2 pixelflat frames' + + # Redo ignoring whether or not the calibration frames exist + asn = calibrations.Calibrations.get_association(multi_caliBrate.fitstbl, + multi_caliBrate.spectrograph, caldir, setup, + calib_ID, det, must_exist=False) + + assert len(asn['arc']['proc']) == 2, \ + 'Should be 2 processed calibration frames associated with the raw arc frames.' + arc_file = Path(asn['arc']['proc'][0]).name + assert arc_file == 'Arc_A_0_DET01.fits', 'Wrong calibration arc frame name' + + # Redo including science/standard frames + asn = calibrations.Calibrations.get_association(multi_caliBrate.fitstbl, + multi_caliBrate.spectrograph, caldir, setup, + calib_ID, det, must_exist=False, + include_science=True) + + assert 'science' in list(asn.keys()), 'Should include science frames' + + + From 6c2287df3424088b6104734a1e813102c08b0932 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 29 Mar 2023 13:46:08 -0700 Subject: [PATCH 133/308] add calibration frames to header of spec2d file --- pypeit/pypeit.py | 33 ++++++-- pypeit/spec2dobj.py | 118 +++++++++++++++------------ pypeit/spectrographs/spectrograph.py | 3 +- 3 files changed, 94 insertions(+), 60 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index cc64cd3e77..477b4a94c9 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -287,9 +287,7 @@ def calib_all(self): grp_frames = frame_indx[in_grp] # Find the detectors to reduce - subset = self.par['rdx']['slitspatnum'] if self.par['rdx']['slitspatnum'] is not None \ - else self.par['rdx']['detnum'] - detectors = self.spectrograph.select_detectors(subset=subset) + detectors = self.select_detectors() msgs.info(f'Detectors to work on: {detectors}') # Loop on Detectors @@ -378,9 +376,6 @@ def reduce_all(self): history = History(self.fitstbl.frame_paths(frames[0])) history.add_reduce(calib_ID, self.fitstbl, frames, bg_frames) std_spec2d, std_sobjs = self.reduce_exposure(frames, bg_frames=bg_frames) - - embed() - exit() # TODO come up with sensible naming convention for save_exposure for combined files self.save_exposure(frames[0], std_spec2d, std_sobjs, self.basename, history) else: @@ -447,6 +442,23 @@ def reduce_all(self): # Finish self.print_end_time() + def select_detectors(self): + """ + Get the set of detectors to be reduced. + + This is mostly a wrapper for + :func:`~pypeit.spectrographs.spectrograph.Spectrograph.select_detectors`, + except that it applies any limitations set by the + :class:`~pypeit.par.pypeitpar.ReduxPar` parameters. + + Returns: + :obj:`list`: List of unique detectors or detector mosaics to be + reduced. + """ + subset = self.par['rdx']['slitspatnum'] if self.par['rdx']['slitspatnum'] is not None \ + else self.par['rdx']['detnum'] + return self.spectrograph.select_detectors(subset=subset) + def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): """ Reduce a single exposure @@ -526,9 +538,7 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): msgs.info(bg_msgs_string) # Find the detectors to reduce - subset = self.par['rdx']['slitspatnum'] if self.par['rdx']['slitspatnum'] is not None \ - else self.par['rdx']['detnum'] - detectors = self.spectrograph.select_detectors(subset=subset) + detectors = self.select_detectors() msgs.info(f'Detectors to work on: {detectors}') # Loop on Detectors -- Calibrate, process image, find objects @@ -993,6 +1003,11 @@ def extract_one(self, frames, det, sciImg, objFind, initial_sky, sobjs_obj): maskdef_designtab=maskdef_designtab) spec2DObj.process_steps = sciImg.process_steps + spec2DObj.calib_asn = calibrations.Calibrations.get_association( + self.fitstbl, self.spectrograph, self.calibrations_path, + self.fitstbl[frames[0]]['setup'], + self.fitstbl.find_frame_calib_groups(frames[0])[0], det) + # QA spec2DObj.gen_qa() diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index 272fd1d6e8..eb12275589 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -5,6 +5,7 @@ .. include:: ../include/links.rst """ +from pathlib import Path import os import inspect import datetime @@ -103,16 +104,16 @@ class Spec2DObj(datamodel.DataContainer): 'detector': dict(otype=(DetectorContainer, Mosaic), descr='Detector or Mosaic metadata') } - internals = ['process_steps', - 'head0', - 'chk_version' # Mainly for viewing/using old versions + internals = ['calib_asn', # Dictionary containing the associated calibration frames + 'process_steps', # List of image processing steps + 'head0' # Raw header ] @classmethod - def from_file(cls, file, detname, chk_version=True): + def from_file(cls, file, detname, **kwargs): """ - Overload :func:`pypeit.datamodel.DataContainer.from_file` to allow det - input and to slurp the header + Override base-class :func:`~pypeit.datamodel.DataContainer.from_file` to + specify detector to read. Args: file (:obj:`str`): @@ -120,26 +121,25 @@ def from_file(cls, file, detname, chk_version=True): detname (:obj:`str`): The string identifier for the detector or mosaic used to select the data that is read. - chk_version (:obj:`bool`, optional): - If False, allow a mismatch in datamodel to proceed + **kwargs: + Passed directly to :func:`from_hdu`. Returns: :class:`~pypeit.spec2dobj.Spec2DObj`: 2D spectra object. - """ - hdul = io.fits_open(file) - # Quick check on det - detnames = np.unique([hdu.name.split('-')[0] for hdu in hdul[1:]]) - if detname not in detnames: - msgs.error(f'Your --det={detname} is not available. \n Choose from: {detnames}') with io.fits_open(file) as hdu: - return cls.from_hdu(hdu, detname, chk_version=chk_version) + # Check detname is valid + detnames = np.unique([h.name.split('-')[0] for h in hdu[1:]]) + if detname not in detnames: + msgs.error(f'Your --det={detname} is not available. \n Choose from: {detnames}') + return cls.from_hdu(hdu, detname, **kwargs) + # TODO: Allow for **kwargs here? @classmethod def from_hdu(cls, hdu, detname, chk_version=True): """ - Overload :func:`pypeit.datamodel.DataContainer.from_hdu` to allow det - input and to slurp the header + Override base-class :func:`~pypeit.datamodel.DataContainer.from_hdu` to + specify detector to read. Args: hdu (`astropy.io.fits.HDUList`_, `astropy.io.fits.ImageHDU`_, `astropy.io.fits.BinTableHDU`_): @@ -171,7 +171,6 @@ def from_hdu(cls, hdu, detname, chk_version=True): self.bpmmask = imagebitmask.ImageBitMaskArray.from_hdu(hdu[mask_ext], ext_pseudo='MASK', chk_version=chk_version) self.head0 = hdu[0].header - self.chk_version = chk_version return self def __init__(self, sciimg, ivarraw, skymodel, objmodel, ivarmodel, @@ -239,6 +238,44 @@ def _bundle(self): # Return return d + def _base_header(self, hdr=None): + """ + Override the base class method to add useful/identifying internals to + the header. + + Args: + hdr (`astropy.io.fits.Header`, optional): + Header object to update. The object is modified in-place and + also returned. If None, an empty header is instantiated, edited, + and returned. + + Returns: + `astropy.io.fits.Header`_: The initialized (or edited) fits header. + """ + # Standard init + _hdr = super()._base_header(hdr=hdr) + # Add the calibration association info. Ideally, the association should + # only include files that exist. + if self.calib_asn is not None: + for key, val in self.calib_asn.items(): + if not isinstance(val, dict) or 'proc' not in val: + continue + for file in val['proc']: + _file = Path(file).resolve() + if not _file.exists(): + continue + calib_type = _file.name.split('_')[0].upper() + _hdr['CALIBDIR'] = str(_file.parent) + # NOTE: Obnoxious _F needed so that the name is different + # from the datamodel attributes. + _hdr[f'{calib_type}_F'] = _file.name + + # Add the processing steps + if self.process_steps is not None: + _hdr['PROCSTEP'] = (','.join(self.process_steps), 'Completed reduction steps') + + return _hdr + @property def detname(self): if self.detector is None: @@ -409,18 +446,18 @@ def from_fits(cls, filename, chk_version=True): # Instantiate self = cls() # Open - hdul = io.fits_open(filename) - # Meta - for key in hdul[0].header.keys(): - if key == self.hdr_prefix+'DETS': - continue - if self.hdr_prefix in key: - meta_key = key.split(self.hdr_prefix)[-1].lower() - self['meta'][meta_key] = hdul[0].header[key] - # Detectors included - detectors = hdul[0].header[self.hdr_prefix+'DETS'] - for detname in detectors.split(','): - self[detname] = Spec2DObj.from_hdu(hdul, detname, chk_version=chk_version) + with io.fits_open(filename) as hdu: + # Meta + for key in hdu[0].header.keys(): + if key == self.hdr_prefix+'DETS': + continue + if self.hdr_prefix in key: + meta_key = key.split(self.hdr_prefix)[-1].lower() + self['meta'][meta_key] = hdu[0].header[key] + # Detectors included + detectors = hdu[0].header[self.hdr_prefix+'DETS'] + for detname in detectors.split(','): + self[detname] = Spec2DObj.from_hdu(hdu, detname, chk_version=chk_version) return self def __init__(self): @@ -507,6 +544,7 @@ def build_primary_hdr(self, raw_header, spectrograph, calib_dir=None, hdr = io.initialize_header() # Copy most of the information from the raw header + # TODO: Does astropy provide a way to intelligently merge headers? hdukeys = ['BUNIT', 'COMMENT', '', 'BITPIX', 'NAXIS', 'NAXIS1', 'NAXIS2', 'HISTORY', 'EXTEND', 'DATASEC'] for key in raw_header.keys(): @@ -532,26 +570,6 @@ def build_primary_hdr(self, raw_header, spectrograph, calib_dir=None, hdr['PYP_SPEC'] = spectrograph.name hdr['DATE-RDX'] = str(datetime.date.today().strftime('%Y-%m-%d')) - # TODO: Add these things to the HISTORY -# # MasterFrame info -# # TODO -- Should this be in the header of the individual HDUs ? -# if master_key_dict is not None: -# if 'bias' in master_key_dict.keys(): -# hdr['BIASMKEY'] = master_key_dict['bias'] -# if 'arc' in master_key_dict.keys(): -# hdr['ARCMKEY'] = master_key_dict['arc'] -# if 'trace' in master_key_dict.keys(): -# hdr['TRACMKEY'] = master_key_dict['trace'] -# if 'flat' in master_key_dict.keys(): -# hdr['FLATMKEY'] = master_key_dict['flat'] - - # Processing steps - # TODO: Assumes processing steps for all detectors are the same... Does - # this matter? - det = self.detectors[0] - if self[det].process_steps is not None: - hdr['PROCSTEP'] = (','.join(self[det].process_steps), 'Completed reduction steps') - # Some paths if calib_dir is not None: hdr['CALIBDIR'] = str(calib_dir) diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 4300198a26..56fca2aaef 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -956,7 +956,8 @@ def select_detectors(self, subset=None): description above. Note detectors are 1-indexed. Returns: - :obj:`list`: Uniqe List of detectors or detector mosaics to be reduced. + :obj:`list`: List of unique detectors or detector mosaics to be + reduced. Raises: PypeItError: Raised if any of the detectors or detector mosaics From 35f5e73dcb3ba39b8459accd36e1d20bcdde4679 Mon Sep 17 00:00:00 2001 From: profxj Date: Wed, 29 Mar 2023 14:51:51 -0700 Subject: [PATCH 134/308] fix! --- pypeit/scripts/ql.py | 22 +--------------------- 1 file changed, 1 insertion(+), 21 deletions(-) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index f4667918f2..67c22897e4 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -205,26 +205,9 @@ def generate_sci_pypeitfile(redux_path:str, file_paths = np.unique([os.path.dirname(ff) for ff in sci_files]).tolist() # Stack? - if len(sci_files) > 1 and stack: + if len(sci_files) > 1 and stack and not bkg_redux: ps_sci.fitstbl['comb_id'] = 1 - # A-B? - # TODO -- Remove this if we can replace with spectrograph.get_comb_group() - #if bkg_redux: - # new_comb = np.zeros_like(ps_sci.fitstbl['comb_id'], dtype=int) - # new_bkg = np.zeros_like(ps_sci.fitstbl['bkg_id'], dtype=int) - # As = dither_id == 'A' - # Bs = dither_id == 'B' - # # Set - # new_comb[As] = 1 - # new_comb[Bs] = 2 - # new_bkg[As] = 2 - # new_bkg[Bs] = 1 - # # Finish - # ps_sci.fitstbl['comb_id'] = new_comb - # ps_sci.fitstbl['bkg_id'] = new_bkg - embed(header='226 of ql') - # Generate pypeitFile = inputfiles.PypeItFile( config=config_lines, @@ -388,9 +371,6 @@ def main(args): # Dither pattern? if args.bkg_redux: sci_files = np.array(files)[sci_idx] - # TODO -- Remove this if we can replace with spectrograph.get_comb_group() - #dither_pattern, dither_id, offset_arcsec = \ - # ps.spectrograph.parse_dither_pattern(sci_files) # Binning binspectral, binspatial = parse_binning( ps.fitstbl['binning'][sci_idx][0]) From 62b7c04250d4658b074192c40a793e4d4c9c4077 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 29 Mar 2023 16:49:10 -0700 Subject: [PATCH 135/308] add calibration frames to header of spec2d file --- pypeit/calibrations.py | 35 +++++++++++++++++++++++++++++++---- pypeit/pypeit.py | 5 +++-- pypeit/spec2dobj.py | 36 ++++++++++++++++++++++-------------- 3 files changed, 56 insertions(+), 20 deletions(-) diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 0062b2184e..612c532c7d 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -955,7 +955,7 @@ def __repr__(self): @staticmethod def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_exist=True, - subset=None, include_science=False): + subset=None, include_science=False, proc_only=False): """ Construct a dictionary with the association between raw files and processed calibration frames. @@ -981,16 +981,31 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex A boolean array selecting a subset of rows from ``fitstbl`` for output. include_science (:obj:`bool`, optional): - Include science and standard frames in the association. + Include science and standard frames in the association. This + parameter is mutually exclusive with ``proc_only``; if both are + true, ``proc_only`` takes precedence. + proc_only (:obj:`bool`, optional): + If True, only return a dictionary with the names of the + processed calibration frames. The dictionary sets the + calibration directory to CALIBDIR, and the other keys are the + capitalized versions of the calibration type keywords; e.g., + dict['ARC'] is the processed arc frame. This parameter is + mutually exclusive with ``include_science``; if both are true, + ``proc_only`` takes precedence. Returns: :obj:`dict`: The set of raw and processed calibration frames - associated with the selected calibration group. This does *not* - include any science or standard frames. + associated with the selected calibration group. This only includes + the processed frames if ``proc_only`` is True, and it includes the + science/standard frames if ``include_science`` is True. """ if fitstbl.calib_groups is None: msgs.error('Calibration groups have not been defined!') + if include_science and proc_only: + msgs.warn('Requested to include the science/standard frames and to only return the ' + 'processed calibration frames. Ignoring former request.') + _caldir = str(Path(caldir).resolve()) # This defines the classes used by each frametype that results in an @@ -1049,6 +1064,18 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex asn[frametype]['proc'] \ = [file for file in asn[frametype]['proc'] if Path(file).exists()] + if proc_only: + files = {} + for key, val in asn.items(): + if not isinstance(val, dict) or 'proc' not in val: + continue + for file in val['proc']: + _file = Path(file).resolve() + calib_type = _file.name.split('_')[0].upper() + files['DIR'] = str(_file.parent) + files[calib_type] = _file.name + return files + if include_science: # Add any science and standard (and sky?) frames for frametype in ['science', 'standard']: diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 477b4a94c9..1d6b5b814e 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -1003,10 +1003,11 @@ def extract_one(self, frames, det, sciImg, objFind, initial_sky, sobjs_obj): maskdef_designtab=maskdef_designtab) spec2DObj.process_steps = sciImg.process_steps - spec2DObj.calib_asn = calibrations.Calibrations.get_association( + spec2DObj.calibs = calibrations.Calibrations.get_association( self.fitstbl, self.spectrograph, self.calibrations_path, self.fitstbl[frames[0]]['setup'], - self.fitstbl.find_frame_calib_groups(frames[0])[0], det) + self.fitstbl.find_frame_calib_groups(frames[0])[0], det, + must_exist=True, proc_only=True) # QA spec2DObj.gen_qa() diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index eb12275589..2f63efb350 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -104,7 +104,7 @@ class Spec2DObj(datamodel.DataContainer): 'detector': dict(otype=(DetectorContainer, Mosaic), descr='Detector or Mosaic metadata') } - internals = ['calib_asn', # Dictionary containing the associated calibration frames + internals = ['calibs', # Dictionary containing the processed calibration frames 'process_steps', # List of image processing steps 'head0' # Raw header ] @@ -170,6 +170,20 @@ def from_hdu(cls, hdu, detname, chk_version=True): if has_mask: self.bpmmask = imagebitmask.ImageBitMaskArray.from_hdu(hdu[mask_ext], ext_pseudo='MASK', chk_version=chk_version) + # Try to fill the internals based on the header of the first parsed + # extension + hdr = hdu[ext[0]].header + if 'CLBS_DIR' in hdr: + self.calibs = {} + self.calibs['DIR'] = hdr['CLBS_DIR'] + for key in hdr.keys(): + if key.startswith('CLBS_') \ + and (Path(self.calibs['DIR']).resolve() / hdr[key]).exists(): + self.calibs['_'.join(key.split('_')[1:])] = hdr[key] + + if 'PROCSTEP' in hdr: + self.process_steps = hdr['PROCSTEP'].split(',') + self.head0 = hdu[0].header return self @@ -256,19 +270,13 @@ def _base_header(self, hdr=None): _hdr = super()._base_header(hdr=hdr) # Add the calibration association info. Ideally, the association should # only include files that exist. - if self.calib_asn is not None: - for key, val in self.calib_asn.items(): - if not isinstance(val, dict) or 'proc' not in val: - continue - for file in val['proc']: - _file = Path(file).resolve() - if not _file.exists(): - continue - calib_type = _file.name.split('_')[0].upper() - _hdr['CALIBDIR'] = str(_file.parent) - # NOTE: Obnoxious _F needed so that the name is different - # from the datamodel attributes. - _hdr[f'{calib_type}_F'] = _file.name + if self.calibs is not None: + for key, val in self.calibs.items(): + # NOTE: Adding 'CLBS_' serves two purposes: It keeps some + # entries from being identical to names given to elements of the + # datamodel, and it allows the keywords to be found! For the + # latter, see `from_hdu`. + _hdr[f'CLBS_{key}'] = val # Add the processing steps if self.process_steps is not None: From 88571ebe619688a01b27680c1a8516ad649638eb Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 30 Mar 2023 09:49:52 -0700 Subject: [PATCH 136/308] and more masters... --- .gitignore | 4 +- bin/pypeit_clean | 2 +- checkout_current_tag | 2 +- doc/Makefile | 2 +- doc/api/pypeit.scripts.rst | 1 + doc/dev/new_spectrograph.rst | 2 +- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos_A.pypeit.rst | 2 +- doc/include/keck_nires_A.pypeit.rst | 2 +- doc/include/shane_kast_blue_A.pypeit.rst | 2 +- pypeit/core/datacube.py | 25 ++++++---- pypeit/io.py | 4 +- pypeit/scripts/coadd_2dspec.py | 59 +++++++++++------------- pypeit/scripts/skysub_regions.py | 17 +++++-- pypeit/spec2dobj.py | 17 +++---- pypeit/spectrographs/soar_goodman.py | 2 +- setup.cfg | 2 +- 17 files changed, 80 insertions(+), 67 deletions(-) diff --git a/.gitignore b/.gitignore index 96289bf597..db6b3a8c4b 100644 --- a/.gitignore +++ b/.gitignore @@ -9,7 +9,7 @@ doc/build_/* bin/bin/* # Test folders that crop up keck_lris_blue_A/ -Masters/ +Calibrations/ Science/ QA/ @@ -79,7 +79,7 @@ Thumbs.db *.swp pypeit/_compiler.c pypeit/data/telluric/atm_grids/*.fits -pypeit/data/QL_MASTERS +pypeit/data/QL_CALIB *.pckl diff --git a/bin/pypeit_clean b/bin/pypeit_clean index d5c4738b2e..105357189a 100755 --- a/bin/pypeit_clean +++ b/bin/pypeit_clean @@ -21,7 +21,7 @@ def delete_if_exists(fname, f_or_dir): shutil.rmtree(fname) if __name__ == '__main__': - flist = ['fitstbl.fits', 'MasterArc_A_01_22.fits', 'tmp.fits', 'tmp_detector.fits', 'tst_pypeitimage.fits', 'shane_kast_blue.calib', 'shane_kast_blue.sorted', 'sensfunc.fits', 'datacube.fits', 'tst_coadd_files-SPAT0175-DET01.fits'] + flist = ['fitstbl.fits', 'Arc_A_01_22.fits', 'tmp.fits', 'tmp_detector.fits', 'tst_pypeitimage.fits', 'shane_kast_blue.calib', 'shane_kast_blue.sorted', 'sensfunc.fits', 'datacube.fits', 'tst_coadd_files-SPAT0175-DET01.fits'] try: from pypeit.tests.test_fluxspec import kast_blue_files f = os.path.basename(kast_blue_files()[1]) diff --git a/checkout_current_tag b/checkout_current_tag index 8d98a06f1d..4b7eb605bf 100755 --- a/checkout_current_tag +++ b/checkout_current_tag @@ -5,7 +5,7 @@ echo "Checkout out tag ${tag}" git checkout ${tag} echo "To reset:" echo "" -echo " git checkout master" +echo " git checkout release" echo "" exit 0 diff --git a/doc/Makefile b/doc/Makefile index bc7c9529e7..3ec6d18a2e 100644 --- a/doc/Makefile +++ b/doc/Makefile @@ -57,7 +57,7 @@ clean: apirst: SPHINX_APIDOC_OPTIONS=$(SPHINXAPIOPT) $(SPHINXAPI) --separate -o ./api ../pypeit ../pypeit/tests/* ../pypeit/deprecated/* ../pypeit/version.py ../pypeit/compiler_version* - wget -O ./include/dev_suite_readme.rst https://raw.githubusercontent.com/pypeit/PypeIt-development-suite/master/README.rst + wget -O ./include/dev_suite_readme.rst https://raw.githubusercontent.com/pypeit/PypeIt-development-suite/main/README.rst python ./scripts/build_datacontainer_datamodels.py python ./scripts/build_dependency_rst.py python ./scripts/build_detector_table.py diff --git a/doc/api/pypeit.scripts.rst b/doc/api/pypeit.scripts.rst index 7e8a2147a0..ae2292c8ec 100644 --- a/doc/api/pypeit.scripts.rst +++ b/doc/api/pypeit.scripts.rst @@ -45,6 +45,7 @@ Submodules pypeit.scripts.skysub_regions pypeit.scripts.tellfit pypeit.scripts.trace_edges + pypeit.scripts.utils pypeit.scripts.view_fits Module contents diff --git a/doc/dev/new_spectrograph.rst b/doc/dev/new_spectrograph.rst index c5d08b5ad7..a84a1fb95d 100644 --- a/doc/dev/new_spectrograph.rst +++ b/doc/dev/new_spectrograph.rst @@ -127,7 +127,7 @@ of tests. These are: - A simple unit test that check an image can be loaded. This needs to be added to the `PypeIt Development Suite`_; see `here - `__. + `__. Docs ++++ diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index a619dccc0d..2e90ab4b99 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-28T18:23:22.693 + # UTC 2023-03-30T16:36:43.201 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index 8888dcf75b..87f627d87e 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-28T18:23:22.056 + # UTC 2023-03-30T16:36:42.653 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 0efbaf379c..c6bf7d1f9d 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-28T18:23:35.188 + # UTC 2023-03-30T16:36:54.672 # User-defined execution parameters [rdx] diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index b7dc79ab82..c8515ce3e5 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-28T18:23:15.069 + # UTC 2023-03-30T16:36:36.783 # User-defined execution parameters [rdx] diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 327ab64961..fb72f4ef51 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1268,7 +1268,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): flexure = None #spec2DObj.sci_spat_flexure # Load the header - hdr = fits.open(fil)[0].header + hdr = spec2DObj.head0 #fits.open(fil)[0].header # Get the exposure time exptime = hdr['EXPTIME'] @@ -1397,14 +1397,15 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): astrometric = cubepar['astrometric'] alignments = None if astrometric: - alignfile = masterframe.construct_file_name(alignframe.Alignments, hdr['TRACMKEY'], - master_dir=hdr['PYPMFDIR']) - if os.path.exists(alignfile) and cubepar['astrometric']: - msgs.info("Loading alignments") - alignments = alignframe.Alignments.from_file(alignfile) + key = alignframe.Alignments.calib_type.upper() + if key in spec2DObj.calibs: + alignfile = os.path.join(spec2DObj.calibs['DIR'], spec2DObj.calibs[key]) + if os.path.exists(alignfile) and cubepar['astrometric']: + msgs.info("Loading alignments") + alignments = alignframe.Alignments.from_file(alignfile) else: - msgs.warn("Could not find Master Alignment frame:"+msgs.newline()+alignfile) - msgs.warn("Astrometric correction will not be performed") + msgs.warn(f'Processed Alignment frame not recorded or not found: {alignfile}. ' + 'Astrometric correction will not be performed.') astrometric = False else: msgs.info("Astrometric correction will not be performed") @@ -1446,7 +1447,11 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Correct for sensitivity as a function of grating angle # (this assumes the spectrum of the flatfield lamp has the same shape for all setups) - flatfile = masterframe.construct_file_name(flatfield.FlatImages, hdr['FLATMKEY'], master_dir=hdr['PYPMFDIR']) + key = flatfield.FlatImages.calib_type.upper() + if key not in spec2DObj.calibs: + msgs.error('Processed flat calibration file not recorded by spec2d file!') + flatfile = os.path.join(spec2DObj.calibs['DIR'], spec2DObj.calibs[key]) + # TODO: Check that the file exists? if cubepar['grating_corr'] and flatfile not in flat_splines.keys(): msgs.info("Calculating relative sensitivity for grating correction") flatimages = flatfield.FlatImages.from_file(flatfile) @@ -1684,3 +1689,5 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, sensfunc=sensfunc, fluxcal=fluxcal, specname=specname) + + diff --git a/pypeit/io.py b/pypeit/io.py index 8a79071f13..6834c1631f 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -781,7 +781,7 @@ def fits_open(filename, **kwargs): # string before checking that it exists. There should be a more robust way # to do this! Is there are more appropriate os.path function that allows # for this different type of object? - if isinstance(filename, str) and not Path(filename).resolve().exists(): + if isinstance(filename, (str, Path)) and not Path(filename).resolve().exists(): msgs.error(f'{filename} does not exist!') try: return fits.open(filename, **kwargs) @@ -792,7 +792,7 @@ def fits_open(filename, **kwargs): return fits.open(filename, ignore_missing_end=True, **kwargs) except OSError as e: msgs.error(f'That failed, too! Astropy is unable to open {filename} and reports the ' - f'following error: {e}') + f'following error: {e}') def create_symlink(filename, symlink_dir, relative_symlink=False, overwrite=False, quiet=False): diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 47126fd15a..4b65e77154 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -4,6 +4,7 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ +from pathlib import Path import os import glob import copy @@ -81,7 +82,7 @@ def main(args): # Set the verbosity, and create a logfile if verbosity == 2 msgs.set_logfile_and_verbosity('coadd_2dspec', args.verbosity) - msgs.info('PATH =' + os.getcwd()) + #msgs.info('PATH =' + os.getcwd()) # Load the file if args.file is not None: # Read @@ -136,7 +137,7 @@ def main(args): spec1d_files = [files.replace('spec2d', 'spec1d') for files in spec2d_files] head1d = None for spec1d_file in spec1d_files: - if os.path.isfile(spec1d_file): + if Path(spec1d_file).exists(): head1d = fits.getheader(spec1d_file) break if head1d is None: @@ -146,8 +147,8 @@ def main(args): head2d = fits.getheader(spec2d_files[0]) if args.basename is None: #TODO Fix this, currently does not work if target names have - or _ - filename_first = os.path.basename(spec2d_files[0]) - filename_last = os.path.basename(spec2d_files[-1]) + filename_first = Path(spec2d_files[0]).resolve().name + filename_last = Path(spec2d_files[-1]).resolve().name prefix_first = (filename_first.split('_')[1]).split('-')[0] prefix_last = (filename_last.split('_')[1]).split('-')[0] objname = (filename_first.split('-')[1]).split('_')[0] @@ -180,18 +181,19 @@ def main(args): msgs_string += 'Searching for objects that are {:s}'.format(findobj_mode) msgs_string += msgs.newline() + 'Combining frames in 2d coadd:' + msgs.newline() for f, file in enumerate(spec2d_files): - msgs_string += 'Exp {0}: {1:s}'.format(f, os.path.basename(file)) + msgs.newline() + msgs_string += f'Exp {f}: {Path(file).name}' + msgs.newline() msgs.info(msgs_string) - # TODO: This needs to be added to the parameter list for rdx - redux_path = os.getcwd() - master_dirname = os.path.basename(head2d['PYPMFDIR']) + '_coadd' - master_dir = os.path.join(redux_path, master_dirname) + # TODO: This needs to be added to the parameter list for rdx. Why does + # this not use parset['rdx']['redux_path'], which is used below to set + # the qa_path? + redux_path = Path().resolve() + calib_dir = redux_path / f'{Path(head2d["CALIBDIR"]).name}_coadd' - # Make the new Master dir - if not os.path.isdir(master_dir): - msgs.info('Creating directory for Master output: {0}'.format(master_dir)) - os.makedirs(master_dir) + # If the calibrations directory doesn't exist, make it. + if not calib_dir.exists(): + msgs.info(f'Creating directory for calibration output: {calib_dir}') + calib_dir.mkdir(parents=True) # Instantiate the sci_dict # TODO Why do we need this sci_dict at all?? JFH @@ -203,16 +205,12 @@ def main(args): # Make QA coadd directory parset['rdx']['qadir'] += '_coadd' - qa_path = os.path.join(parset['rdx']['redux_path'], parset['rdx']['qadir'], 'PNGs') - if not os.path.isdir(qa_path): - os.makedirs(qa_path) + qa_path = Path(parset['rdx']['redux_path']).resolve() / parset['rdx']['qadir'] / 'PNGs' + if not qa_path.exists(): + qa_path.mkdir(parents=True) # Find the detectors to reduce -# detectors = PypeIt.select_detectors(detnum=parset['rdx']['detnum'], ndet=spectrograph.ndet) detectors = spectrograph.select_detectors(subset=parset['rdx']['detnum']) -# if len(detectors) != spectrograph.ndet: -# msgs.warn('Not reducing detectors: {0}'.format(' '.join([str(d) for d in -# set(np.arange(spectrograph.ndet) + 1) - set(detectors)]))) msgs.info(f'Detectors to work on: {detectors}') # Only_slits? @@ -296,37 +294,34 @@ def main(args): vel_type=None, maskdef_designtab=maskdef_designtab) - # Save pseudo image master files - #coadd.save_masters() - # SAVE TO DISK # Make the new Science dir # TODO: This needs to be defined by the user - scipath = os.path.join(redux_path, 'Science_coadd') - if not os.path.isdir(scipath): - msgs.info('Creating directory for Science output: {0}'.format(scipath)) - os.makedirs(scipath) + scipath = redux_path / 'Science_coadd' + if not scipath.exists(): + msgs.info(f'Creating directory for Science output: {scipath}') + scipath.mkdir(parents=True) # THE FOLLOWING MIMICS THE CODE IN pypeit.save_exposure() subheader = spectrograph.subheader_for_spec(head2d, head2d) # Write spec1D if all_specobjs.nobj > 0: - outfile1d = os.path.join(scipath, 'spec1d_{:s}.fits'.format(basename)) + outfile1d = scipath / f'spec1d_{basename}.fits' all_specobjs.write_to_fits(subheader, outfile1d) # Info - outfiletxt = os.path.join(scipath, 'spec1d_{:s}.txt'.format(basename)) + outfiletxt = scipath / f'spec1d_{basename}.txt' sobjs = specobjs.SpecObjs.from_fitsfile(outfile1d, chk_version=False) sobjs.write_info(outfiletxt, spectrograph.pypeline) # Build header for spec2d - outfile2d = os.path.join(scipath, 'spec2d_{:s}.fits'.format(basename)) + outfile2d = scipath / f'spec2d_{basename}.fits' pri_hdr = all_spec2d.build_primary_hdr(head2d, spectrograph, subheader=subheader, # TODO -- JFH :: Decide if we need any of these - redux_path=None, master_key_dict=None, - master_dir=None) + redux_path=None) + #, master_key_dict=None, master_dir=None) # Write spec2d all_spec2d.write_to_fits(outfile2d, pri_hdr=pri_hdr) diff --git a/pypeit/scripts/skysub_regions.py b/pypeit/scripts/skysub_regions.py index 74ae801ede..bcec509ecb 100644 --- a/pypeit/scripts/skysub_regions.py +++ b/pypeit/scripts/skysub_regions.py @@ -45,6 +45,7 @@ def main(args): # from pypeit.scripts import utils from pypeit.images import buildimage from pypeit.images.detector_container import DetectorContainer + from pypeit.edgetrace import EdgeTraceSet # Parse the detector name try: @@ -60,9 +61,17 @@ def main(args): spec2DObj = spec2dobj.Spec2DObj.from_file(args.file, detname, chk_version=True) frame = spec2DObj.sciimg hdr = fits.open(args.file)[0].header - fname = hdr["FILENAME"] - mdir, mkey = hdr['PYPMFDIR'], hdr['TRACMKEY'] - pypeline, specname = hdr['PYPELINE'], hdr['PYP_SPEC'] + fname = hdr['FILENAME'] + calib_dir = hdr['CALIBDIR'] + pypeline = hdr['PYPELINE'] + specname = hdr['PYP_SPEC'] + + # Use the edges calibration frame to set the calibration key + key = EdgeTraceSet.calib_type.upper() + if key not in spec2DObj.calibs: + # TODO: Until I can figure out a better approach... + msgs.error(f'EdgeTrace calibration frame not recorded in {args.file}!') + calib_key, _ = EdgeTraceSet.parse_calib_key(spec2DObj.calibs[key], from_filename=True) # Use the appropriate class to get the "detector" number det = spec2DObj.detector.parse_name(detname) @@ -80,7 +89,7 @@ def main(args): # Derive an appropriate output filename file_base = os.path.basename(fname) - regfile = buildimage.SkyRegions.construct_file_name(mkey, calib_dir=mdir, + regfile = buildimage.SkyRegions.construct_file_name(calib_key, calib_dir=calib_dir, basename=io.remove_suffix(file_base)) # Finally, initialise the GUI diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index 2f63efb350..930512a653 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -442,7 +442,7 @@ def from_fits(cls, filename, chk_version=True): """ Args: - filename (:obj:`str`): + filename (:obj:`str`, `Path`_): Name of the file to read. chk_version (:obj:`bool`, optional): If True, demand the on-disk datamodel equals the current one. @@ -602,7 +602,7 @@ def write_to_fits(self, outfile, pri_hdr=None, update_det=None, Write the spec2d FITS file Args: - outfile (:obj:`str`): + outfile (:obj:`str`, `Path`_): Output filename pri_hdr (:class:`astropy.io.fits.Header`, optional): Header to be used in lieu of default @@ -628,13 +628,14 @@ def write_to_fits(self, outfile, pri_hdr=None, update_det=None, combination of this and ``update_det`` may also alter this object based on the existing file. """ - if os.path.isfile(outfile): + _outfile = Path(outfile).resolve() + if _outfile.exists(): # Clobber? if not overwrite: - msgs.warn("File {} exits. Use -o to overwrite.".format(outfile)) + msgs.warn(f'File {_outfile} exits. Use -o to overwrite.') return # Load up the original - _allspecobj = AllSpec2DObj.from_fits(outfile) + _allspecobj = AllSpec2DObj.from_fits(_outfile) # Replace the newly reduced detector? if update_det is not None: for det in _allspecobj.detectors: @@ -688,7 +689,7 @@ def write_to_fits(self, outfile, pri_hdr=None, update_det=None, continue if key.lower() != key: msgs.warn('Keywords in the meta dictionary are always read back in as lower case. ' - f'Subsequent reads of {outfile} will have converted {key} to ' + f'Subsequent reads of {_outfile} will have converted {key} to ' f'{key.lower()}!') # Loop on em (in order of detector) @@ -710,8 +711,8 @@ def write_to_fits(self, outfile, pri_hdr=None, update_det=None, # Finish hdulist = fits.HDUList(hdus) - hdulist.writeto(outfile, overwrite=overwrite) - msgs.info("Wrote: {:s}".format(outfile)) + hdulist.writeto(_outfile, overwrite=overwrite) + msgs.info(f'Wrote: {_outfile}') def __repr__(self): # Generate sets string diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index 5357887878..2cfdbae39a 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -556,7 +556,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Master bias frame used to identify bad pixels + Processed calibration frame used to identify bad pixels Returns: `numpy.ndarray`_: An integer array with a masked value set diff --git a/setup.cfg b/setup.cfg index ea7f6d734f..050fd759fb 100644 --- a/setup.cfg +++ b/setup.cfg @@ -106,7 +106,7 @@ console_scripts = pypeit_flux_setup = pypeit.scripts.flux_setup:FluxSetup.entry_point pypeit_install_extinctfile = pypeit.scripts.install_extinctfile:InstallExtinctfile.entry_point pypeit_install_linelist = pypeit.scripts.install_linelist:InstallLinelist.entry_point - pypeit_install_ql_masters = pypeit.scripts.install_ql_masters:InstallQLMasters.entry_point + pypeit_install_ql_calibs = pypeit.scripts.install_ql_calib:InstallQLCalibs.entry_point pypeit_install_telluric = pypeit.scripts.install_telluric:InstallTelluric.entry_point #pypeit_lowrdx_pixflat = pypeit.scripts.lowrdx_pixflat:entry_point pypeit_lowrdx_skyspec = pypeit.scripts.lowrdx_skyspec:LowRDXSkySpec.entry_point From f44c8e2c123b2939c2a84b357bd99db27df592b6 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 30 Mar 2023 10:05:13 -0700 Subject: [PATCH 137/308] test fix --- pypeit/tests/test_arcimage.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/tests/test_arcimage.py b/pypeit/tests/test_arcimage.py index 4bc849baf0..9610345a5c 100644 --- a/pypeit/tests/test_arcimage.py +++ b/pypeit/tests/test_arcimage.py @@ -31,7 +31,8 @@ def test_io(): pypeitImage.PYP_SPEC = 'shane_kast_blue' # Now the arcimage arcImage = buildimage.ArcImage.from_pypeitimage(pypeitImage, calib_dir=data_path(''), - setup='A', calib_id=['1']) + setup='A', calib_id=['1'], + detname='DET01') # Set paths and check name ofile = Path(arcImage.get_path()).resolve() assert str(ofile) == data_path('Arc_A_1_DET01.fits'), 'Calibration file name changed' From dedda3124bf3cd3fe1cf3dd4302036d238c7a085 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 30 Mar 2023 20:51:53 +0100 Subject: [PATCH 138/308] clean up --- pypeit/flatfield.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 749deac264..21ad254676 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -567,9 +567,13 @@ def run(self, doqa=False, debug=False, show=False): gpm = self.rawflatimg.select_flag(flag='BPM', invert=True) niter = 2 # Need two iterations, particularly for the fine spatial illumination correction. for ff in range(niter): - msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) # Just get the spatial and spectral profiles for now self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) + # If we're only doing the spatial illumination profile, the detector structure + # has already been divided out by the pixel flat. + if self.spat_illum_only: + break + msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) # Extract a detector response image det_resp = self.extract_structure(rawflat_orig) gpmask = (self.waveimg != 0.0) & gpm @@ -582,11 +586,13 @@ def run(self, doqa=False, debug=False, show=False): outfile = qa.set_qa_filename("DetectorStructure_" + self.master_key, 'detector_structure', det="DET01", out_dir=self.qa_path) detector_structure_qa(det_resp, det_resp_model, outfile=outfile) - # Perform a final 2D fit with the cleaned image - self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) + # Now that the detector structure is modelled, include it in the full model + if not self.spat_illum_only: + # Perform a final 2D fit with the cleaned image + self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) + self.flat_model *= det_resp_model + self.mspixelflat *= det_resp_model # fold in the spectrograph specific flatfield, and reset the rawimg - self.flat_model *= det_resp_model - self.mspixelflat *= det_resp_model self.rawflatimg.image = rawflat_orig if show: From bb169c69ac9475d155bd6dca3ee4a2ffc220c2c9 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 30 Mar 2023 20:53:59 +0100 Subject: [PATCH 139/308] clean up --- pypeit/flatfield.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 21ad254676..b8fd0eb13c 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -566,6 +566,7 @@ def run(self, doqa=False, debug=False, show=False): # TODO: Should this be *any* flag, or just BPM? gpm = self.rawflatimg.select_flag(flag='BPM', invert=True) niter = 2 # Need two iterations, particularly for the fine spatial illumination correction. + det_resp_model = 1 # Default value that doesn't change anything for ff in range(niter): # Just get the spatial and spectral profiles for now self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) From 3919a6e5717cc26e837a11054a3f745dcf55e43a Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 30 Mar 2023 13:19:10 -0700 Subject: [PATCH 140/308] clean-up --- CHANGES.rst | 1 + pypeit/calibframe.py | 74 ++++++++----- pypeit/calibrations.py | 189 ++++++++++++++++++-------------- pypeit/coadd2d.py | 2 +- pypeit/edgetrace.py | 4 +- pypeit/images/pypeitimage.py | 2 +- pypeit/tests/test_calibframe.py | 2 + pypeit/wavecalib.py | 2 +- pypeit/wavetilts.py | 2 +- 9 files changed, 160 insertions(+), 118 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index bb305528df..d5981ddc61 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -14,6 +14,7 @@ files. Discussed in new docs. - The ``'calib'`` column is now always added to the pypeit file, regardless of whether or not you also request the ``'comb_id'`` and ``'bkg_id'`` columns. +- Names of associated calibration frames now written to ``spec2d`` file headers. 1.12.2 (29 Mar 2023) -------------------- diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index ae716dda0c..c75b5d46f8 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -35,7 +35,8 @@ class CalibFrame(datamodel.DataContainer): ``'fits.gz'`` (for gzipped output). """ - # TODO: Add an astropy.Table with the metadata? + # TODO: Add an astropy.Table into the base-class data model that includes + # the subset of `fitstbl` with the metadata for the raw calibration frames? datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name')} """ Default datamodel for any :class:`CalibFrame`. Derived classes should @@ -107,17 +108,17 @@ def set_paths(self, odir, setup, calib_id, detname): :func:`~pypeit.spectrograph.spectrograph.Spectrograph.get_det_name`. """ self.calib_dir = Path(odir).resolve() - # TODO: Keep this, or throw an error if the directory doesn't exist instead. + # TODO: Keep this, or throw an error if the directory doesn't exist instead? if not self.calib_dir.exists(): self.calib_dir.mkdir(parents=True) - # TODO: Would like to transition to using Path objects instead of strings! + # TODO: Use Path object instead of string here? self.calib_dir = str(self.calib_dir) self.calib_id = CalibFrame.ingest_calib_id(calib_id) self.calib_key = self.construct_calib_key(setup, self.calib_id, detname) - def copy_calib_keys(self, other): + def copy_calib_internals(self, other): """ - Copy the key internals from this :class:`CalibFrame` to another. + Copy the internals from this :class:`CalibFrame` to another. Args: other (:class:`CalibFrame`): @@ -186,7 +187,7 @@ def from_hdu(cls, hdu, chk_version=True, **kwargs): # TODO: Consider making the next two lines a function so that they don't # need to be repeated in PypeItCalibrationImage. self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) - self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID'].split(',')) + self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID']) return self @staticmethod @@ -235,18 +236,38 @@ def ingest_calib_id(calib_id): Ingest the calibration group IDs, converting the input into a list of strings. Args: - calib_id (:obj:`list`, :obj:`str`, :obj:`int`): + calib_id (:obj:`str`, :obj:`list`, :obj:`int`): Identifiers for one or more calibration groups for this - calibration frame. The individual string and the string - elements of the list must be single numbers. The only exception - is the string 'all'. + calibration frame. Strings (either as individually entered or + as elements of a provided list) can be single or comma-separated + integers. Otherwise, all strings must be convertible to + integers, with the only exception is the string 'all'. Returns: :obj:`list`: List of string representations of single calibration - groups. + group integer identifiers. + + Examples: + + >>> CalibFrame.ingest_calib_id('all') + ['all'] + >>> CalibFrame.ingest_calib_id(['all', 1]) + [WARNING] :: Calibration groups set to ['1' 'all'], resetting to simply "all". + ['all'] + >>> CalibFrame.ingest_calib_id('1,2') + ['1', '2'] + >>> CalibFrame.ingest_calib_id(['1,2', '5,8', '3']) + ['1', '2', '3', '5', '8'] + >>> CalibFrame.ingest_calib_id([2, 1, 2]) == ['1', '2'] + """ - _calib_id = calib_id if isinstance(calib_id, list) else [calib_id] - _calib_id = np.unique([str(c) for c in _calib_id]) + if isinstance(calib_id, str): + _calib_id = calib_id.split(',') + elif isinstance(calib_id, list): + _calib_id = calib_id + else: + _calib_id = [calib_id] + _calib_id = np.unique(np.concatenate([str(c).split(',') for c in _calib_id])) if 'all' in _calib_id and len(_calib_id) != 1: msgs.warn(f'Calibration groups set to {_calib_id}, resetting to simply "all".') _calib_id = np.array(['all']) @@ -267,18 +288,18 @@ def construct_calib_key(setup, calib_id, detname): The identifier is the combination of the configuration, the calibration group, and the detector. The configuration ID is the same as included - in the configuration column (A, B, C, etc), the calibration group is the - same as the calibration bit number, and the detector identifier. + in the configuration column (A, B, C, etc), the calibration group is a + dash-separated list of the calibration group identifiers or "all", and + the detector/mosaic identifier (see + :func:`~pypeit.spectrographs.spectrograph.Spectrograph.get_det_name`). Args: setup (:obj:`str`): The string identifier for the instrument setup/configuration; see :func:`~pypeit.metadata.PypeItMetaData.unique_configurations`. - calib_id (:obj:`list`, :obj:`str`, :obj:`int`): + calib_id (:obj:`str`, :obj:`list`, :obj:`int`): Identifiers for one or more calibration groups for this - calibration frame. The individual string and the string - elements of the list must be single numbers. The only exception - is the string 'all'. + calibration frame. See :func:`CalibFrame.ingest_calib_id`. detname (:obj:`str`): The identifier used for the detector or detector mosaic for the relevant instrument; see @@ -330,9 +351,7 @@ def construct_file_name(cls, calib_key, calib_dir=None): msgs.error('CODING ERROR: calib_key cannot be None when constructing the ' f'{cls.__name__} file name.') filename = f'{cls.calib_type}_{calib_key}.{cls.calib_file_format}' - if calib_dir is None: - return filename - return Path(calib_dir).resolve() / filename + return filename if calib_dir is None else Path(calib_dir).resolve() / filename def get_path(self): """ @@ -342,8 +361,8 @@ def get_path(self): that uses the existing values of :attr:`calib_key` and :attr`calib_dir`. Returns: - :obj:`str`: File path or file name. This is always the full path if - :attr:`calib_dir` is defined. + :obj:`str`, `Path`_: File path or file name. This is always the + full path if :attr:`calib_dir` is defined. """ return self.__class__.construct_file_name(self.calib_key, calib_dir=self.calib_dir) @@ -354,12 +373,11 @@ def _base_header(self, hdr=None): Args: hdr (`astropy.io.fits.Header`, optional): - Header object to update. The object is modified in-place and - also returned. If None, an empty header is instantiated, edited, - and returned. + Header object to update. The provided object is *not* edited, + only copied. Returns: - `astropy.io.fits.Header`_: The initialized (or edited) fits header. + `astropy.io.fits.Header`_: The new/edited fits header. """ # Standard init _hdr = super()._base_header(hdr=hdr) diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 612c532c7d..862dec09e2 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -9,11 +9,11 @@ from copy import deepcopy from abc import ABCMeta from collections import Counter +import yaml from IPython import embed import numpy as np -import yaml from pypeit import __version__ from pypeit import msgs @@ -39,17 +39,14 @@ class Calibrations: Class designed to guide the generation of calibration images and objects in PypeIt. - It also keeps track of existing processed calibration frames to avoid - rebuilding those that were generated during this execution of PypeIt. - Args: - fitstbl (:class:`pypeit.metadata.PypeItMetaData`, None): + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): The class holding the metadata for all the frames in this PypeIt run. If None, we are using this class as a glorified dict to hold the objects. - par (:class:`pypeit.par.pypeitpar.CalibrationsPar`): + par (:class:`~pypeit.par.pypeitpar.CalibrationsPar`): Parameter set defining optional parameters of PypeIt's algorithms for Calibrations - spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph object caldir (:obj:`str`, `Path`_): Path to write the output calibrations. @@ -67,37 +64,58 @@ class Calibrations: :func:`~pypeit.slittrace.SlitTraceSet.user_mask`. Attributes: - fitstbl (:class:`pypeit.metadata.PypeItMetaData`): - Table with metadata for all fits files to reduce. - wavetilts (:class:`pypeit.wavetilts.WaveTilts`): - mstilt (:class:`pypeit.images.buildimage.TiltImage`): - flatimages (:class:`pypeit.flatfield.FlatImages`): - msbias (:class:`pypeit.images.buildimage.BiasImage`): - msdark (:class:`pypeit.images.buildimage.DarkImage`): - msbpm (`numpy.ndarray`_): - msarc (:class:`pypeit.images.buildimage.ArcImage`): - Arc-lamp calibration frame. - alignments (:class:`pypeit.alignframe.Alignments`): - wv_calib (:class:`pypeit.wavecalib.WaveCalib`): - slits (:class:`pypeit.slittrace.SlitTraceSet`): - - write_qa - show - spectrograph - par (:class:`pypeit.par.pypeitpar.CalibrationsPar`): - full_par (:class:`pypeit.par.pypeitpar.PypeItPar`): - redux_path - calib_dir - det + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): + See instantiation arguments. + par (:class:`~pypeit.par.pypeitpar.CalibrationsPar`): + See instantiation arguments. + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): + See instantiation arguments. + calib_dir (`Path`_): + Path to write the output calibrations. + qa_path (`Path`_): + Path to write the QA. + reuse (:obj:`bool`): + See instantiation arguments. + show (:obj:`bool`): + See instantiation arguments. + user_slits (:obj:`dict`): + See instantiation arguments. + det (:obj:`int`, :obj:`tuple`): + The single detector or set of detectors in a mosaic to process. frame (:obj:`int`): - 0-indexed row of the frame being calibrated in - :attr:`fitstbl`. + The index of a raw in :attr:`fitstbl` used to set the calibration + group. calib_ID (:obj:`int`): - calib group ID of the current frame - user_slits (:obj:`list, optional): - Identifies a slit or slits to restrict the analysis on - Used in :func:`get_slits` and propagated beyond - + The calibration group associated with :attr:`frame`. + msarc (:class:`~pypeit.images.buildimage.ArcImage`): + Arc calibration frame + mstilt (:class:`~pypeit.images.buildimage.TiltImage`): + Tilt calibration frame + alignments (:class:`~pypeit.alignframe.Alignments`): + Alignment calibration frame + msbias (:class:`~pypeit.buildimage.BiasImage`): + Bias calibration frame + msdark (:class:`~pypeit.buildimage.DarkImage`): + Dark calibration frame + msbpm (`numpy.ndarray`_): + Boolean array with the bad-pixel mask (pixels that should masked are + set to True). + wv_calib (:class:`~pypeit.wavecalib.WaveCalib`): + Wavelength calibration frame + slits (:class:`~pypeit.slittrace.SlitTraceSet`): + Slit tracing calibration frame + wavetilts (:class:`~pypeit.wavetilts.WaveTilts`): + Tilts calibration frame + flatimages (:class:`~pypeit.flatfield.FlatImages`): + Flat-field calibration frame + steps (:obj:`list`): + A list of strings setting the set of processing steps to be + completed (not necessarily those that were successful). + success (:obj:`bool`): + Flag that the calibrations were all generated successfully. + failed_step (:obj:`str`): + If the calibrations were unsuccessful, this is the step that + led to the fault. """ __metaclass__ = ABCMeta @@ -154,7 +172,7 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, # Attributes self.det = None self.frame = None - self.binning = None +# self.binning = None self.msarc = None self.mstilt = None @@ -165,7 +183,6 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.wv_calib = None self.slits = None - self.wavecalib = None self.wavetilts = None self.flatimages = None self.calib_ID = None @@ -212,17 +229,23 @@ def _prep_calibrations(self, frametype): def set_config(self, frame, det, par=None): """ - Specify the parameters of the Calibrations class and reset all - the internals to None. + Specify the critical attributes of the class to perform a set of calibrations. + + Operations are: + + - Set the frame + - Use the frame to find the calibration group + - Set the detector/mosaic + - Set the parameters Args: frame (:obj:`int`): Frame index in the fitstbl det (:obj:`int`): Detector number - par (:class:`~pypeit.par.pypeitpar.CalibrationsPar`): - Parameters used by the calibration procedures. - + par (:class:`~pypeit.par.pypeitpar.CalibrationsPar`, optional): + Parameters used by the calibration procedures. If None, use + :attr:`par`. """ # Reset internals to None # NOTE: This sets calib_ID so must @@ -235,14 +258,12 @@ def set_config(self, frame, det, par=None): # have one calibration group, but calibration frames can have many. So # for both science and calibration frames, we just set the calibration # group to the first in the returned list. - # TODO: May need to revisit this... self.calib_ID = self.fitstbl.find_frame_calib_groups(self.frame)[0] -# self.calib_ID = int(self.fitstbl['calib'][frame]) self.det = det if par is not None: self.par = par - # Deal with binning - self.binning = self.fitstbl['binning'][self.frame] +# # Deal with binning +# self.binning = self.fitstbl['binning'][self.frame] def get_arc(self): """ @@ -264,12 +285,12 @@ def get_arc(self): msgs.warn('No frametype=arc files available!') return self.msarc - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - arc_file = Path(buildimage.ArcImage.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + arc_file = Path(buildimage.ArcImage.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -309,12 +330,12 @@ def get_tiltimg(self): msgs.warn('No frametype=tilt files available!') return self.mstilt - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - tilt_file = Path(buildimage.TiltImage.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + tilt_file = Path(buildimage.TiltImage.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -360,12 +381,12 @@ def get_align(self): self.alignments = None return self.alignments - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - align_file = Path(alignframe.Alignments.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + align_file = Path(alignframe.Alignments.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -415,12 +436,12 @@ def get_bias(self): self.msbias = None return self.msbias - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - bias_file = Path(buildimage.BiasImage.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + bias_file = Path(buildimage.BiasImage.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -457,12 +478,12 @@ def get_dark(self): self.msdark = None return self.msdark - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - dark_file = Path(buildimage.DarkImage.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + dark_file = Path(buildimage.DarkImage.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -552,13 +573,13 @@ def get_flats(self): setup = illum_setup if len(raw_pixel_files) == 0 else pixel_setup calib_id = illum_calib_id if len(raw_pixel_files) == 0 else pixel_calib_id - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) flat_file = Path(flatfield.FlatImages.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() + calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: if flat_file.exists() and self.reuse: @@ -698,12 +719,12 @@ def get_slits(self): msgs.warn('No frametype=trace files to build slits') return self.slits - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - slits_file = Path(slittrace.SlitTraceSet.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + slits_file = Path(slittrace.SlitTraceSet.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -715,8 +736,7 @@ def get_slits(self): return self.slits # Slits don't exist or we're not resusing them - edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # Reuse an exising calibration frame? if edges_file.exists() and self.reuse: @@ -799,16 +819,12 @@ def get_wv_calib(self): msgs.warn('No frametype=arc files available!') return self.wv_calib - # Construct the detector/mosaic identifier + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) - - # Grab arc binning (may be different from science!) - # TODO : Do this internally when we have a wv_calib DataContainer - binspec, binspat = parse.parse_binning(self.msarc.detector.binning) + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) # Construct the expected calibration frame file name - wvcalib_file = Path(wavecalib.WaveCalib.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + wvcalib_file = Path(wavecalib.WaveCalib.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: @@ -827,16 +843,19 @@ def get_wv_calib(self): meta_dict = dict(self.fitstbl[is_arc][0]) \ if self.spectrograph.pypeline == 'Echelle' \ and not self.spectrograph.ech_fixed_format else None + # Grab arc binning (may be different from science!) + # TODO : Do this internally when we have a wv_calib DataContainer + binspec, binspat = parse.parse_binning(self.msarc.detector.binning) # Instantiate # TODO: Pull out and pass only the necessary parts of meta_dict to # this, or include the relevant parts as parameters. See comments # in PRs #1454 and #1476 on this. msgs.info(f'Preparing a {wavecalib.WaveCalib.calib_type} calibration frame.') - self.waveCalib = wavecalib.BuildWaveCalib(self.msarc, self.slits, self.spectrograph, + waveCalib = wavecalib.BuildWaveCalib(self.msarc, self.slits, self.spectrograph, self.par['wavelengths'], lamps, meta_dict=meta_dict, binspectral=binspec, det=self.det, qa_path=self.qa_path) - self.wv_calib = self.waveCalib.run(skip_QA=(not self.write_qa)) + self.wv_calib = waveCalib.run(skip_QA=(not self.write_qa)) # If orders were found, save slits to disk if self.spectrograph.pypeline == 'Echelle' and not self.spectrograph.ech_fixed_format: self.slits.to_file() @@ -872,9 +891,12 @@ def get_tilts(self): msgs.warn('No frametype=tilt files available!') return self.wavetilts + # Construct the calibration key detname = self.spectrograph.get_det_name(self.det) - tilts_file = Path(wavetilts.WaveTilts.construct_file_name( - CalibFrame.construct_calib_key(setup, calib_id, detname), + calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) + + # Construct the expected calibration frame file name + tilts_file = Path(wavetilts.WaveTilts.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() if tilts_file.exists() and self.reuse: @@ -1053,13 +1075,12 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex 'are not all associated with the same subset of calibration ' 'groups; calib for the first file is ' f'{fitstbl["calib"][indx][0]}.') - calib_key = CalibFrame.construct_calib_key(setup, fitstbl['calib'][indx][0], - detname) + calib_key = CalibFrame.construct_calib_key(setup, fitstbl['calib'][indx][0], detname) asn[frametype] = {} asn[frametype]['raw'] = fitstbl.frame_paths(indx) asn[frametype]['proc'] \ = [str(calib_class.construct_file_name(calib_key, calib_dir=_caldir)) - for calib_class in frame_calibrations[frametype]] + for calib_class in frame_calibrations[frametype]] if must_exist: asn[frametype]['proc'] \ = [file for file in asn[frametype]['proc'] if Path(file).exists()] diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index 89efe57154..7f2e32224a 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -580,7 +580,7 @@ def reduce(self, pseudo_dict, show=False, clear_ginga=True, show_peaks=False, sh caliBrate = calibrations.Calibrations(None, self.par['calibrations'], self.spectrograph, None) caliBrate.slits = pseudo_dict['slits'] caliBrate.det = self.det - caliBrate.binning = self.binning +# caliBrate.binning = self.binning # Manual extraction. manual_obj = None diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index c3a394ef53..e87eb95bfd 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -516,7 +516,7 @@ def __init__(self, traceimg, spectrograph, par, qa_path=None, auto=False, debug= # matched to traced slits # Inherit the calibration frame attributes from the trace image: - self.copy_calib_keys(self.traceimg) + self.copy_calib_internals(self.traceimg) # NOTE: This means that, no matter what, every instance of # EdgeTraceSet should have a sobelsig attribute that is *not* @@ -4982,7 +4982,7 @@ def get_slits(self): maskdef_posx_pa=_posx_pa, maskfile=self.maskfile, ech_order=ech_order) # Copy the CalibFrame internals (also identical to the self.traceimg internals) - slits.copy_calib_keys(self) + slits.copy_calib_internals(self) return slits diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index 5f1783fcb0..a9531da75f 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -963,6 +963,6 @@ def sub(self, other): the internals are propagated. """ result = super().sub(other) - result.copy_calib_keys(self) + result.copy_calib_internals(self) return result diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index 4e67951a61..2d940baca2 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -106,6 +106,8 @@ def test_construct_calib_key(): def test_ingest_calib_id(): assert CalibFrame.ingest_calib_id('all') == ['all'], 'Bad ingest' assert CalibFrame.ingest_calib_id(['all', 1]) == ['all'], 'Bad ingest' + assert CalibFrame.ingest_calib_id('1,2') == ['1', '2'], 'Bad ingest' + assert CalibFrame.ingest_calib_id(['1,2']) == ['1', '2'], 'Bad ingest' assert CalibFrame.ingest_calib_id([1, 2]) == ['1', '2'], 'Bad ingest' assert CalibFrame.ingest_calib_id([2, 1]) == ['1', '2'], 'Bad ingest' assert CalibFrame.ingest_calib_id([2, 1, 2]) == ['1', '2'], 'Bad ingest' diff --git a/pypeit/wavecalib.py b/pypeit/wavecalib.py index 134a8ad2de..0ff736a75d 100644 --- a/pypeit/wavecalib.py +++ b/pypeit/wavecalib.py @@ -608,7 +608,7 @@ def build_wv_calib(self, arccen, method, skip_QA=False): # Inherit the calibration frame naming from self.msarc # TODO: Should throw an error here if these calibration frame naming # elements are not defined by self.msarc... - self.wv_calib.copy_calib_keys(self.msarc) + self.wv_calib.copy_calib_internals(self.msarc) # Update mask self.update_wvmask() diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index d045fdfeb2..ad47fbe6e6 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -710,7 +710,7 @@ def run(self, doqa=True, debug=False, show=False): # Inherit the calibration frame naming from self.mstilt # TODO: Should throw an error here if these calibration frame naming # elements are not defined by self.mstilts... - tilts.copy_calib_keys(self.mstilt) + tilts.copy_calib_internals(self.mstilt) return tilts def _parse_param(self, par, key, slit): From 59ed15b88c3742b9627964165ba68ba57785cf55 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 30 Mar 2023 17:16:12 -0700 Subject: [PATCH 141/308] testing + clean-up --- doc/api/pypeit.scripts.rst | 1 - doc/help/pypeit_ql.rst | 4 +- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos_A.pypeit.rst | 2 +- doc/include/keck_nires_A.pypeit.rst | 2 +- doc/include/shane_kast_blue_A.pypeit.rst | 2 +- pypeit/calibframe.py | 9 +- pypeit/calibrations.py | 117 ++++----- pypeit/core/wavecal/wv_fitting.py | 50 +++- pypeit/datamodel.py | 10 - pypeit/flatfield.py | 56 ++-- pypeit/images/buildimage.py | 14 +- pypeit/images/combineimage.py | 2 + pypeit/images/pypeitimage.py | 35 ++- pypeit/metadata.py | 6 +- pypeit/pypeit.py | 2 +- pypeit/pypeitsetup.py | 117 --------- pypeit/scripts/identify.py | 3 +- pypeit/scripts/ql.py | 2 +- pypeit/scripts/setup.py | 1 - pypeit/scripts/skysub_regions.py | 4 - pypeit/scripts/utils.py | 319 ----------------------- pypeit/tests/test_io.py | 1 - pypeit/wavecalib.py | 9 +- 24 files changed, 172 insertions(+), 598 deletions(-) delete mode 100644 pypeit/scripts/utils.py diff --git a/doc/api/pypeit.scripts.rst b/doc/api/pypeit.scripts.rst index ae2292c8ec..7e8a2147a0 100644 --- a/doc/api/pypeit.scripts.rst +++ b/doc/api/pypeit.scripts.rst @@ -45,7 +45,6 @@ Submodules pypeit.scripts.skysub_regions pypeit.scripts.tellfit pypeit.scripts.trace_edges - pypeit.scripts.utils pypeit.scripts.view_fits Module contents diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index 927ff19018..a4a1ecff81 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -61,8 +61,8 @@ Location folders of calibration reductions (default: None) --masters_dir MASTERS_DIR - Location of PypeIt calibration files used for the - reduction. (default: None) + Location of PypeIt Master files used for the reduction. + (default: None) --calibs_only Reduce only the calibrations? (default: False) --clobber_calibs Clobber existing calibration files? (default: False) --slitspatnum SLITSPATNUM diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index 2e90ab4b99..c8ac963fa0 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-30T16:36:43.201 + # UTC 2023-03-31T00:12:34.603 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index 87f627d87e..ed913323b5 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-30T16:36:42.653 + # UTC 2023-03-31T00:12:34.056 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index c6bf7d1f9d..9d3bff8936 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-30T16:36:54.672 + # UTC 2023-03-31T00:12:45.849 # User-defined execution parameters [rdx] diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index c8515ce3e5..7abdf8f6c5 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-30T16:36:36.783 + # UTC 2023-03-31T00:12:28.187 # User-defined execution parameters [rdx] diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index c75b5d46f8..d8a3f70fd0 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -97,11 +97,12 @@ def set_paths(self, odir, setup, calib_id, detname): setup (:obj:`str`): The string identifier for the instrument setup/configuration; see :func:`~pypeit.metadata.PypeItMetaData.unique_configurations`. - calib_id (:obj:`list`, :obj:`str`, :obj:`int`): + calib_id (:obj:`str`, :obj:`list`, :obj:`int`): Identifiers for one or more calibration groups for this - calibration frame. The individual string and the string - elements of the list must be single numbers. The only exception - is the string `'all'`. + calibration frame. Strings (either as individually entered or + as elements of a provided list) can be single or comma-separated + integers. Otherwise, all strings must be convertible to + integers, with the only exception is the string 'all'. detname (:obj:`str`): The identifier used for the detector or detector mosaic for the relevant instrument; see diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 862dec09e2..55b60e4ecb 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -26,7 +26,6 @@ from pypeit.calibframe import CalibFrame from pypeit.images import buildimage from pypeit.metadata import PypeItMetaData -from pypeit.core import parse from pypeit.core import framematch from pypeit.par import pypeitpar from pypeit.spectrographs.spectrograph import Spectrograph @@ -83,8 +82,8 @@ class Calibrations: det (:obj:`int`, :obj:`tuple`): The single detector or set of detectors in a mosaic to process. frame (:obj:`int`): - The index of a raw in :attr:`fitstbl` used to set the calibration - group. + The index of a raw file in :attr:`fitstbl` used to set the + calibration group. calib_ID (:obj:`int`): The calibration group associated with :attr:`frame`. msarc (:class:`~pypeit.images.buildimage.ArcImage`): @@ -110,7 +109,8 @@ class Calibrations: Flat-field calibration frame steps (:obj:`list`): A list of strings setting the set of processing steps to be - completed (not necessarily those that were successful). + completed (not necessarily those that were successful). See the + ``default_steps`` functions of each subclass. success (:obj:`bool`): Flag that the calibrations were all generated successfully. failed_step (:obj:`str`): @@ -172,7 +172,7 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, # Attributes self.det = None self.frame = None -# self.binning = None +# self.binning = None # NEVER USED self.msarc = None self.mstilt = None @@ -188,7 +188,7 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.calib_ID = None # Steps - self.steps = [] + self.steps = self.__class__.default_steps() self.success = False self.failed_step = None @@ -270,7 +270,7 @@ def get_arc(self): Load or generate the arc calibration frame. Returns: - :class:`pypeit.images.buildimage.ArcImage`: The processed + :class:`~pypeit.images.buildimage.ArcImage`: The processed calibration image. """ # Check internals @@ -315,7 +315,7 @@ def get_tiltimg(self): Load or generate the tilt calibration frame. Returns: - :class:`pypeit.images.buildimage.TiltImage`: The processed + :class:`~pypeit.images.buildimage.TiltImage`: The processed calibration image. """ # Check internals @@ -325,7 +325,7 @@ def get_tiltimg(self): raw_files, setup, calib_id = self._prep_calibrations('tilt') if len(raw_files) == 0: - # There are no arc files, so we're done! + # There are no tilt files, so we're done! self.mstilt = None msgs.warn('No frametype=tilt files available!') return self.mstilt @@ -360,10 +360,8 @@ def get_align(self): """ Load or generate the alignment calibration frame. - Requires: :attr:`slits`, :attr:`det`, :attr:`par` - Returns: - :class:`pypeit.alignframe.Alignments`: The processed alignment + :class:`~pypeit.alignframe.Alignments`: The processed alignment image. """ # Check for existing data @@ -404,8 +402,9 @@ def get_align(self): setup=setup, calib_id=calib_id) # Extract some header info needed by the algorithm - # TODO: We have the fitstbl, can we get it from there, instead of having - # to reread the file? + # TODO: There seems like there are a number of ways of getting this + # without having to re-read the file. E.g., can TraceAlignments pull it + # directly from msalign? binning = self.spectrograph.get_meta_value(raw_files[0], 'binning') # Instantiate @@ -422,7 +421,7 @@ def get_bias(self): Load or generate the bias calibration frame. Returns: - :class:`pypeit.images.buildimage.BiasImage`: The processed + :class:`~pypeit.images.buildimage.BiasImage`: The processed calibration image. """ # Check internals @@ -464,7 +463,7 @@ def get_dark(self): Load or generate the dark calibration frame. Returns: - :class:`pypeit.images.buildimage.DarkImage`: The processed + :class:`~pypeit.images.buildimage.DarkImage`: The processed calibration image. """ # Check internals @@ -561,7 +560,6 @@ def get_flats(self): # Prep raw_pixel_files, pixel_setup, pixel_calib_id = self._prep_calibrations('pixelflat') - # Using _prep_calibrations is a bit overkill here... raw_illum_files, illum_setup, illum_calib_id = self._prep_calibrations('illumflat') raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] @@ -682,10 +680,11 @@ def get_flats(self): # NOTE: These are the *final* images, not just a stack, and it will # over-ride what is generated below (if generated). - # TODO: Why is this done after writing the image above? If we did, we - # wouldn't need to re-read the user-provided file when ingesting the - # existing flat file. Is this to allow the user to change the pixel - # flat file? Should we allow the user to change the file name? + # TODO: Why is this done after writing the image above? If we instead + # wrote the file after applying this user-defined pixelflat, we wouldn't + # need to re-read the user-provided file when ingesting the existing + # flat file. Is this to allow the user to change the pixel flat file? + # Should we allow that? if self.par['flatfield']['pixelflat_file'] is not None: # Load msgs.info(f'Using user-defined file: {self.par["flatfield"]["pixelflat_file"]}') @@ -700,7 +699,7 @@ def get_slits(self): Load or generate the definition of the slit boundaries. Returns: - :class:`pypeit.slittrace.SlitTraceSet`: Traces of the + :class:`~pypeit.slittrace.SlitTraceSet`: Traces of the slit edges; also kept internally as :attr:`slits`. """ # Check for existing data @@ -735,27 +734,29 @@ def get_slits(self): self.slits.user_mask(detname, self.user_slits) return self.slits - # Slits don't exist or we're not resusing them + # Slits don't exist or we're not resusing them. See if the Edges + # calibration frame exists. edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() - # Reuse an exising calibration frame? + # If so, reuse it? if edges_file.exists() and self.reuse: + # Yep! Load it and parse it into slits. self.slits = edgetrace.EdgeTraceSet.from_file(edges_file).get_slits() + # Write the slits calibration file self.slits.to_file() if self.user_slits is not None: self.slits.user_mask(detname, self.user_slits) return self.slits - # Build the trace image + # Need to build everything from scratch. Start with the trace image. msgs.info('Creating edge tracing calibration frame using files: ') for f in raw_trace_files: msgs.prindent(f'{Path(f).name}') - self.traceImage = buildimage.buildimage_fromlist(self.spectrograph, self.det, - self.par['traceframe'], raw_trace_files, - bias=self.msbias, bpm=self.msbpm, - dark=self.msdark, - calib_dir=self.calib_dir, - setup=setup, calib_id=calib_id) + traceImage = buildimage.buildimage_fromlist(self.spectrograph, self.det, + self.par['traceframe'], raw_trace_files, + bias=self.msbias, bpm=self.msbpm, + dark=self.msdark, calib_dir=self.calib_dir, + setup=setup, calib_id=calib_id) if len(raw_lampoff_files) > 0: msgs.info('Subtracting lamp off flats using files: ') for f in raw_lampoff_files: @@ -764,23 +765,27 @@ def get_slits(self): self.par['lampoffflatsframe'], raw_lampoff_files, dark=self.msdark, bias=self.msbias, bpm=self.msbpm) - self.traceImage = self.traceImage.sub(lampoff_flat) + traceImage = traceImage.sub(lampoff_flat) - self.edges = edgetrace.EdgeTraceSet(self.traceImage, self.spectrograph, - self.par['slitedges'], auto=True) - if not self.edges.success: + edges = edgetrace.EdgeTraceSet(traceImage, self.spectrograph, self.par['slitedges'], + auto=True) + if not edges.success: + # Something went amiss + msgs.warn('Edge tracing failed. Continuing, but likely to fail soon...') self.success = False return None - self.edges.to_file() + # Save the result + edges.to_file() # Show the result if requested if self.show: - self.edges.show(in_ginga=True) + edges.show(in_ginga=True) # Get the slits from the result of the edge tracing, delete # the edges object, and save the slits, if requested - self.slits = self.edges.get_slits() - self.edges = None + self.slits = edges.get_slits() + traceImage = None + edges = None self.slits.to_file() if self.user_slits is not None: self.slits.user_mask(detname, self.user_slits) @@ -843,18 +848,17 @@ def get_wv_calib(self): meta_dict = dict(self.fitstbl[is_arc][0]) \ if self.spectrograph.pypeline == 'Echelle' \ and not self.spectrograph.ech_fixed_format else None - # Grab arc binning (may be different from science!) - # TODO : Do this internally when we have a wv_calib DataContainer - binspec, binspat = parse.parse_binning(self.msarc.detector.binning) # Instantiate # TODO: Pull out and pass only the necessary parts of meta_dict to # this, or include the relevant parts as parameters. See comments # in PRs #1454 and #1476 on this. + # TODO: (Added 30 Mar 2023) The need for the meta_dict is for echelle + # wavelength calibration. Create EchelleCalibrations and + # EchelleBuildWaveCalib subclasses instead.. msgs.info(f'Preparing a {wavecalib.WaveCalib.calib_type} calibration frame.') waveCalib = wavecalib.BuildWaveCalib(self.msarc, self.slits, self.spectrograph, - self.par['wavelengths'], lamps, - meta_dict=meta_dict, binspectral=binspec, - det=self.det, qa_path=self.qa_path) + self.par['wavelengths'], lamps, meta_dict=meta_dict, + det=self.det, qa_path=self.qa_path) self.wv_calib = waveCalib.run(skip_QA=(not self.write_qa)) # If orders were found, save slits to disk if self.spectrograph.pypeline == 'Echelle' and not self.spectrograph.ech_fixed_format: @@ -983,7 +987,7 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex processed calibration frames. Args: - fitstbl (:class:`pypeit.metadata.PypeItMetaData`): + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): The class holding the metadata for all the frames to process. spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph object @@ -1118,7 +1122,7 @@ def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=N Args: ofile (:obj:`str`, `Path`_): Full path to the output file. - fitstbl (:class:`pypeit.metadata.PypeItMetaData`): + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): The class holding the metadata for all the frames to process. spectrograph (:obj:`pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph object @@ -1185,7 +1189,7 @@ def association_summary(ofile, fitstbl, spectrograph, caldir, subset=None, det=N class MultiSlitCalibrations(Calibrations): """ Calibration class for performing multi-slit calibrations (and also long-slit - and echelle). See :class:`~pypeit.calibrations.Calibrations` for arguments. + and echelle). See :class:`Calibrations` for arguments. .. note:: @@ -1194,10 +1198,6 @@ class for echelle reductions. This may change if a different order is eventually required for the set of processing steps (see :func:`default_steps`). """ - def __init__(self, fitstbl, par, spectrograph, caldir, **kwargs): - super().__init__(fitstbl, par, spectrograph, caldir, **kwargs) - self.steps = MultiSlitCalibrations.default_steps() - @staticmethod def default_steps(): """ @@ -1214,14 +1214,9 @@ def default_steps(): class IFUCalibrations(Calibrations): """ - Child of Calibrations class for performing IFU calibrations. - See :class:`pypeit.calibrations.Calibrations` for arguments. + Child of Calibrations class for performing IFU calibrations. See + :class:`Calibrations` for arguments. """ - - def __init__(self, fitstbl, par, spectrograph, caldir, **kwargs): - super().__init__(fitstbl, par, spectrograph, caldir, **kwargs) - self.steps = IFUCalibrations.default_steps() - @staticmethod def default_steps(): """ @@ -1242,8 +1237,8 @@ def check_for_calibs(par, fitstbl, raise_error=True, cut_cfg=None): the science frames Args: - par (:class:`pypeit.par.pypeitpar.PypeItPar`): - fitstbl (:class:`pypeit.metadata.PypeItMetaData`, None): + par (:class:`~pypeit.par.pypeitpar.PypeItPar`): + fitstbl (:class:`~pypeit.metadata.PypeItMetaData`, None): The class holding the metadata for all the frames in this PypeIt run. raise_error (:obj:`bool`, optional): diff --git a/pypeit/core/wavecal/wv_fitting.py b/pypeit/core/wavecal/wv_fitting.py index b5097f41df..b2d8f88f0d 100644 --- a/pypeit/core/wavecal/wv_fitting.py +++ b/pypeit/core/wavecal/wv_fitting.py @@ -103,34 +103,56 @@ def _bundle(self, **kwargs): # Return return _d - def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None): #, limit_hdus=None): - """ Over-ride for force_to_bintbl + def to_hdu(self, **kwargs): + """ + Over-ride base-class function to force ``force_to_bintbl`` to always be + true. - See :class:`pypeit.datamodel.DataContainer.to_hdu` for Arguments + See base-class :class:`~pypeit.datamodel.DataContainer.to_hdu` for arguments. + + Args: + kwargs: + Passed directly to the base-class + :class:`~pypeit.datamodel.DataContainer.to_hdu`. If + ``force_to_bintbl`` is present, it is forced to be True. Returns: :obj:`list`, `astropy.io.fits.HDUList`_: A list of HDUs, where the type depends on the value of ``add_primary``. """ - return super(WaveFit, self).to_hdu(hdr=hdr, add_primary=add_primary, primary_hdr=primary_hdr, - #limit_hdus=limit_hdus, - force_to_bintbl=True) + if 'force_to_bintbl' in kwargs: + if not kwargs['force_to_bintbl']: + msgs.warn(f'{self.__class__.__name__} objects must always use ' + 'force_to_bintbl = True!') + kwargs.pop('force_to_bintbl') + return super().to_hdu(force_to_bintbl=True, **kwargs) @classmethod - def from_hdu(cls, hdu, chk_version=True): + def from_hdu(cls, hdu, **kwargs): """ Parse the data from the provided HDU. - See :func:`pypeit.datamodel.DataContainer._parse` for the - argument descriptions. + See the base-class :func:`~pypeit.datamodel.DataContainer.from_hdu` for + the argument descriptions. + + Args: + kwargs: + Passed directly to the base-class + :class:`~pypeit.datamodel.DataContainer.from_hdu`. Should not + include ``hdu_prefix`` because this is set directly by the + class, read from the SPAT_ID card in a relevant header. + + Returns: + :class:`WaveFit`: Object instantiated from data in the provided HDU. """ + if 'hdu_prefix' in kwargs: + kwargs.pop('hdu_prefix') # Set hdu_prefix - if isinstance(hdu, fits.HDUList): - hdu_prefix = cls.hduext_prefix_from_spatid(hdu[1].header['SPAT_ID']) - else: - hdu_prefix = cls.hduext_prefix_from_spatid(hdu.header['SPAT_ID']) + spat_id = hdu[1].header['SPAT_ID'] if isinstance(hdu, fits.HDUList)\ + else hdu.header['SPAT_ID'] + hdu_prefix = cls.hduext_prefix_from_spatid(spat_id) # Run the default parser to get the data - return super(WaveFit, cls).from_hdu(hdu, hdu_prefix=hdu_prefix, chk_version=chk_version) + return super(WaveFit, cls).from_hdu(hdu, hdu_prefix=hdu_prefix, **kwargs) @property def ions(self): diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index e751a51953..814fdfbd37 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -1528,16 +1528,6 @@ def from_file(cls, ifile, verbose=True, chk_version=True, **kwargs): with io.fits_open(_ifile) as hdu: return cls.from_hdu(hdu, chk_version=chk_version, **kwargs) -# obj = cls.from_hdu(hdu, chk_version=chk_version, **kwargs) -# # TODO: This stuff should be moved to a new class that subclasses -# # from DataContainer. -# if hasattr(obj, 'head0'): -# obj.head0 = hdu[0].header -# if hasattr(obj, 'filename'): -# obj.filename = ifile -# -# return obj - def __repr__(self): """ Over-ride print representation diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index aa80f3396c..41857b0747 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -110,7 +110,7 @@ def is_synced(self, slits): Barfs if not Args: - slits (:class:`pypeit.slittrace.SlitTraceSet`): + slits (:class:`~pypeit.slittrace.SlitTraceSet`): """ if not np.array_equal(self.spat_id, slits.spat_id): @@ -338,7 +338,7 @@ def fit2illumflat(self, slits, frametype='illum', finecorr=False, initial=False, Construct the model flat using the spatial bsplines. Args: - slits (:class:`pypeit.slittrace.SlitTraceSet`): + slits (:class:`~pypeit.slittrace.SlitTraceSet`): Definition of the slit edges frametype (str, optional): The frame type should be 'illum' to return the illumflat @@ -397,7 +397,7 @@ def show(self, frametype='all', slits=None, wcs_match=True): String used to select the flats to be displayed. The frame type should be 'illum' to show the illumflat version, 'pixel' to show the pixelflat version, or 'all' to show both. - slits (:class:`pypeit.slittrace.SlitTraceSet`): + slits (:class:`~pypeit.slittrace.SlitTraceSet`): Definition of the slit edges wcs_match (:obj:`bool`, optional): (Attempt to) Match the WCS coordinates of the output images in @@ -461,18 +461,17 @@ class FlatField: For the primary methods, see :func:`run`. Args: - rawflatimg (:class:`pypeit.images.pypeitimage.PypeItImage`): + rawflatimg (:class:`~pypeit.images.pypeitimage.PypeItImage`): Processed, combined set of pixelflat images - spectrograph (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): The `Spectrograph` instance that sets the instrument used to - take the observations. See usage by - :class:`pypeit.processimages.ProcessImages` base class. - flatpar (:class:`pypeit.par.pypeitpar.FlatFieldPar`): + take the observations. + flatpar (:class:`~pypeit.par.pypeitpar.FlatFieldPar`): User-level parameters for constructing the flat-field corrections. If None, the default parameters are used. - slits (:class:`pypeit.slittrace.SlitTraceSet`): + slits (:class:`~pypeit.slittrace.SlitTraceSet`): The current slit traces. - wavetilts (:class:`pypeit.wavetilts.WaveTilts`): + wavetilts (:class:`~pypeit.wavetilts.WaveTilts`): The current wavelength tilt traces; see wv_calib (??): ?? @@ -487,7 +486,7 @@ class FlatField: ?? Attributes: - rawflatimg (:class:`pypeit.images.pypeitimage.PypeItImage`): + rawflatimg (:class:`~pypeit.images.pypeitimage.PypeItImage`): mspixelflat (`numpy.ndarray`_): Normalized flat msillumflat (`numpy.ndarray`_): @@ -547,7 +546,7 @@ def run(self, doqa=False, debug=False, show=False): Generate normalized pixel and illumination flats. This is a simple wrapper for the main flat-field methods: - + - Flat-field images are processed using :func:`build_pixflat`. - Full 2D model, illumination flat, and pixel flat images are @@ -679,7 +678,7 @@ def fit(self, spat_illum_only=False, doqa=True, debug=False): - Collapse the flat-field data spatially using the wavelength coordinates provided by the fit to the arc-line - traces (:class:`pypeit.wavetilts.WaveTilts`), and fit the + traces (:class:`~pypeit.wavetilts.WaveTilts`), and fit the result with a bspline. This provides the spatially-averaged spectral response of the instrument. The data used in the fit is trimmed toward the slit @@ -735,11 +734,11 @@ def fit(self, spat_illum_only=False, doqa=True, debug=False): attributes are altered internally. If the slit edges are to be tweaked using the 1D illumination profile (``tweak_slits`` in :attr:`flatpar`), the tweaked slit edge arrays in the internal - :class:`pypeit.edgetrace.SlitTraceSet` object, :attr:`slits`, + :class:`~pypeit.edgetrace.SlitTraceSet` object, :attr:`slits`, are also altered. Used parameters from :attr:`flatpar` - (:class:`pypeit.par.pypeitpar.FlatFieldPar`) are + (:class:`~pypeit.par.pypeitpar.FlatFieldPar`) are ``spec_samp_fine``, ``spec_samp_coarse``, ``spat_samp``, ``tweak_slits``, ``tweak_slits_thresh``, ``tweak_slits_maxfrac``, ``rej_sticky``, ``slit_trim``, @@ -1305,7 +1304,7 @@ def spatial_fit(self, norm_spec, spat_coo, median_slit_width, spat_gpm, gpm, deb - exit_status (int): - spat_coo_data - spat_flat_data - - spat_bspl (:class:`pypeit.bspline.bspline.bspline`): Bspline model of the spatial fit. Used for illumflat + - spat_bspl (:class:`~pypeit.bspline.bspline.bspline`): Bspline model of the spatial fit. Used for illumflat - spat_gpm_fit - spat_flat_fit - spat_flat_data_raw @@ -1647,7 +1646,7 @@ def show_flats(image_list, wcs_match=True, slits=None, waveimg=None): flat_model (`numpy.ndarray`_): spec_illum (`numpy.ndarray`_ or None): wcs_match (bool, optional): - slits (:class:`pypeit.slittrace.SlitTraceSet`, optional): + slits (:class:`~pypeit.slittrace.SlitTraceSet`, optional): waveimg (`numpy.ndarray`_ or None): Returns: @@ -1685,7 +1684,7 @@ def illum_profile_spectral(rawimg, waveimg, slits, slit_illum_ref_idx=0, smooth_ Image data that will be used to estimate the spectral relative sensitivity waveimg : `numpy.ndarray`_ Wavelength image - slits : :class:`pypeit.slittrace.SlitTraceSet` + slits : :class:`~pypeit.slittrace.SlitTraceSet` Information stored about the slits slit_illum_ref_idx : int Index of slit that is used as the reference. @@ -1851,16 +1850,17 @@ def merge(init_cls, merge_cls): dd['PYP_SPEC'] = merge_cls.PYP_SPEC if init_cls.PYP_SPEC is None else init_cls.PYP_SPEC dd['spat_id'] = merge_cls.spat_id if init_cls.spat_id is None else init_cls.spat_id for key in keys: - mrg = False - val = None - # TODO: Why are we using exec here? Can we use setattr and getattr - # instead? - namespace = dict({'val': val, 'init_cls':init_cls, 'merge_cls':merge_cls, 'mrg':mrg}) - exec("val = init_cls.{0:s}".format(key), namespace) - exec("mrg = merge_cls.{0:s} is not None".format(key), namespace) - if namespace['mrg']: - exec("val = merge_cls.{0:s}".format(key), namespace) - dd[key] = namespace['val'] + dd[key] = getattr(init_cls, key) if getattr(merge_cls, key) is None \ + else getattr(merge_cls, key) +# for key in keys: +# mrg = False +# val = None +# namespace = dict({'val': val, 'init_cls':init_cls, 'merge_cls':merge_cls, 'mrg':mrg}) +# exec("val = init_cls.{0:s}".format(key), namespace) +# exec("mrg = merge_cls.{0:s} is not None".format(key), namespace) +# if namespace['mrg']: +# exec("val = merge_cls.{0:s}".format(key), namespace) +# dd[key] = namespace['val'] # Construct the merged class return FlatImages(**dd) diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index aed9878c08..0cf4bae3c8 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -26,8 +26,6 @@ class ArcImage(pypeitimage.PypeItCalibrationImage): 'ARC_DET_IMG', # For echelle multi-detector wavelengths ) hdu_prefix = 'ARC_' - - # Calibration type calib_type = 'Arc' @@ -40,8 +38,6 @@ class AlignImage(pypeitimage.PypeItCalibrationImage): # I/O output_to_disk = ('ALIGN_IMAGE', 'ALIGN_FULLMASK', 'ALIGN_DETECTOR') hdu_prefix = 'ALIGN_' - - # Calibration type calib_type = 'Align' @@ -78,8 +74,6 @@ class TiltImage(pypeitimage.PypeItCalibrationImage): # I/O output_to_disk = ('TILT_IMAGE', 'TILT_FULLMASK', 'TILT_DETECTOR') hdu_prefix = 'TILT_' - - # Calibration type calib_type = 'Tiltimg' @@ -92,8 +86,6 @@ class TraceImage(pypeitimage.PypeItCalibrationImage): # I/O output_to_disk = ('TRACE_IMAGE', 'TRACE_FULLMASK', 'TRACE_DETECTOR') hdu_prefix = 'TRACE_' - - # Calibration type calib_type = 'Trace' @@ -106,8 +98,6 @@ class SkyRegions(pypeitimage.PypeItCalibrationImage): # I/O output_to_disk = ('SKYREG_IMAGE') hdu_prefix = 'SKYREG_' - - # Calibration type and file format calib_type = 'SkyRegions' calib_file_format = 'fits.gz' @@ -130,6 +120,8 @@ def construct_file_name(cls, calib_key, calib_dir=None, basename=None): :obj:`str`: File path or file name """ filename = super().construct_file_name(calib_key, calib_dir=calib_dir) + if basename is None: + return filename return filename.replace(f'.{cls.calib_file_format}', f'_{basename}.{cls.calib_file_format}') @@ -253,7 +245,7 @@ def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm= # Either return the image directly, or decorate and return according to the # type of calibration. For the latter, this specific use of - # from_pypeitimage means that the class must be a subclass of + # from_pypeitimage means that the class *must* be a subclass of # PypeItCalibrationImage! return pypeitImage if cls is None \ else cls.from_pypeitimage(pypeitImage, calib_dir=calib_dir, setup=setup, diff --git a/pypeit/images/combineimage.py b/pypeit/images/combineimage.py index 2ff761f7a9..fbce070053 100644 --- a/pypeit/images/combineimage.py +++ b/pypeit/images/combineimage.py @@ -213,6 +213,8 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr exptime = np.zeros(self.nfiles, dtype=float) # Save the lamp status + # TODO: As far as I can tell, this is the *only* place rawheadlist + # is used. Is there a way we can get this from fitstbl instead? lampstat[kk] = self.spectrograph.get_lamps_status(pypeitImage.rawheadlist) # Save the exposure time to check if it's consistent for all images. exptime[kk] = pypeitImage.exptime diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index a9531da75f..8817917a0b 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -247,7 +247,7 @@ def _bundle(self): return d @classmethod - def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): + def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None): """ Instantiate the object from an HDU extension. @@ -267,8 +267,6 @@ def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): Only parse HDUs with extension names matched to this prefix. If None, :attr:`hdu_prefix` is used. If the latter is also None, no prefix is expected. - **kwargs: - Passed directly to :func:`~pypeit.datamodel.DataContainer._parse`. """ # TODO: Is there a way to read the mask array directly using the # ext_pseudo functionality? @@ -817,7 +815,7 @@ def __repr__(self): repr = repr + '>' return repr - def build_header(self, hdr=None): + def _base_header(self, hdr=None): """ Build the generic header written to all PypeIt images. @@ -935,11 +933,34 @@ def from_pypeitimage(cls, pypeitImage, calib_dir=None, setup=None, calib_id=None can then be subsequently decorated by an appropriate type with default attributes. See, e.g., :class:`~pypeit.images.buildimage.ArcImage`. - Note that this is *not* a deep copy. + .. note:: + + - This is *not* a deep copy. + + - To appropriately set the relevant + :class:`~pypeit.calibframe.CalibFrame` internals, **all** of the + optional arguments must be provided. Args: pypeitImage (:class:`PypeItImage`): The input image to convert into the appropriate type. + calib_dir (:obj:`str`, `Path`_, optional): + Output directory for the processed calibration frames + setup (:obj:`str`, optional): + The string identifier for the instrument setup/configuration; + see :func:`~pypeit.metadata.PypeItMetaData.unique_configurations`. + calib_id (:obj:`str`, :obj:`list`, :obj:`int`): + Identifiers for one or more calibration groups for this + calibration frame. See + :func:`~pypeit.calibframe.CalibFrame.ingest_calib_id`. + detname (:obj:`str`): + The identifier used for the detector or detector mosaic for the + relevant instrument; see + :func:`~pypeit.spectrograph.spectrograph.Spectrograph.get_det_name`. + + Returns: + :class:`PypeItImage`: Image with the appropriate type and + :class:`~pypeit.calibframe.CalibFrame` internals. """ # Instantiate from a PypeItImage self = super().from_pypeitimage(pypeitImage) @@ -950,12 +971,12 @@ def from_pypeitimage(cls, pypeitImage, calib_dir=None, setup=None, calib_id=None # Done return self - def build_header(self, hdr=None): + def _base_header(self, hdr=None): """ Override the base class functions to combine the operations of both base classes. """ - return CalibFrame.build_header(self, hdr=PypeItImage.build_header(self, hdr=hdr)) + return CalibFrame._base_header(self, hdr=PypeItImage._base_header(self, hdr=hdr)) def sub(self, other): """ diff --git a/pypeit/metadata.py b/pypeit/metadata.py index f571051dc0..993ca168d0 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -1474,11 +1474,7 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, indx = np.array([setup in _set for _set in self['setup']]) if not np.any(indx): continue - try: - subtbl = self.table[output_cols][indx] - except: - embed() - exit() + subtbl = self.table[output_cols][indx] if 'calib' in output_cols: # calib can be a str with a list of values because in some cases (e.g. MOSFIRE) the same # calibration files are used for different setups. Here we update calib to have only the diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 1d6b5b814e..2a269a002e 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -435,7 +435,7 @@ def reduce_all(self): 'calibration/reduction was not successful for all the detectors') else: msgs.warn(f'Output file: {self.fitstbl.construct_basename(frames[0])} already ' - ' exists. Set overwrite=True to recreate and overwrite.') + 'exists. Set overwrite=True to recreate and overwrite.') msgs.info(f'Finished calibration group {calib_ID}') diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index c389533bb5..22d1b999ba 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -268,28 +268,6 @@ def get_frame_types(self, flag_unknown=False): self.fitstbl.get_frame_types(flag_unknown=flag_unknown, user=self.frametype) def run(self, setup_only=False, clean_config=True, groupings=True): -# sort_dir=None, -# write_bkg_pairs=False, write_manual=False, -# , obslog=False, write_files=True, -# no_write_sorted=False): -# calibration_check (obj:`bool`, optional): -# Only check that the calibration frames are -# appropriately setup and exist on disk. ``PypeIt`` is -# expected to execute in a way that ends after this -# class is fully instantiated such that the user can -# inspect the results before proceeding. -# sort_dir (:obj:`str`, `Path`_, optional): -# The directory to put the '.sorted' file. -# write_bkg_pairs (:obj:`bool`, optional): -# Include columns with the (unassigned) background -# image pairs. This is a convenience so that users can -# more easily add/edit the background pair ID numbers. -# write_manual (:obj:`bool`, optional): -# Add additional ``PypeIt`` columns for manual extraction -# write_files (:obj:`bool`, optional): -# Write the standard files -# no_write_sorted (:obj:`bool`, optional): -# Do not write the .sorted file """ Once instantiated, this is the main method used to construct the object. @@ -360,103 +338,8 @@ class is fully instantiated such that the user can # Set default comb_id self.fitstbl.set_combination_groups() -# # Write the output files -# if write_files: -# self.write(output_path=sort_dir, setup_only=setup_only, -# calibration_check=calibration_check, -# write_bkg_pairs=write_bkg_pairs, -# write_manual=write_manual, -# obslog=obslog, no_write_sorted=no_write_sorted) - return self.par, self.spectrograph, self.fitstbl -# def write(self, output_path=None, setup_only=False, calibration_check=False, -# write_bkg_pairs=False, obslog=False, write_manual=False, -# no_write_sorted=False): -# """ -# Write the set of pypeit setup files. -# -# Args: -# output_path (:obj:`str`, `Path`_, optional): -# Directory for the output files. If None, use the current -# working directory, or the path associated with -# :attr:`pypeit_file`. If the path does not exist, this function -# will create it! -# setup_only (:obj:`bool`, optional): -# Only this setup will be performed. ``PypeIt`` is -# expected to execute in a way that ends after this -# class is fully instantiated such that the user can -# inspect the results before proceeding. This has the -# effect of providing more output describing the -# success of the setup and how to proceed, and provides -# warnings (instead of errors) for issues that may -# cause the reduction itself to fail. -# calibration_check (obj:`bool`, optional): -# Only check that the calibration frames are -# appropriately setup and exist on disk. ``PypeIt`` is -# expected to execute in a way that ends after this -# class is fully instantiated such that the user can -# inspect the results before proceeding. -# write_bkg_pairs (:obj:`bool`, optional): -# Include columns with the (unassigned) background -# image pairs. This is a convenience so that users can -# more easily add/edit the background pair ID numbers. -# write_manual (:obj:`bool`, optional): -# Add additional ``PypeIt`` columns for manual extraction -# clean_config (:obj:`bool`, optional): -# Remove files with metadata that indicate an -# instrument configuration that ``PypeIt`` cannot -# reduce. See -# :func:`~pypeit.spectrographs.spectrograph.Spectrograph.valid_configuration_values`. -# groupings (:obj:`bool`, optional): -# Group frames into instrument configurations and calibration -# sets, and add the default combination-group columns. -# no_write_sorted (:obj:`bool`, optional): -# Do not write the .sorted file -# """ -# pypeit_file = self.spectrograph.name + '.pypeit' \ -# if self.pypeit_file is None or len(self.pypeit_file) == 0 \ -# else self.pypeit_file -# _output_path = Path(pypeit_file).resolve().parent if output_path is None \ -# else Path(output_path).resolve() -# if not _output_path.exists(): -# _output_path.mkdir(parents=True) -# pypeit_file = Path(pypeit_file).name -# -# if setup_only: -# # Collate all matching files and write .sorted Table (on pypeit_setup only) -# sorted_file = _output_path / pypeit_file.replace('.pypeit', '.sorted') -# if not no_write_sorted: -# self.fitstbl.write_sorted(sorted_file, write_bkg_pairs=write_bkg_pairs, -# write_manual=write_manual) -# msgs.info(f'Wrote sorted file: {sorted_file}') -# else: -# # Write the calib file -# # This is currently needed for QA -# calib_file = _output_path / pypeit_file.replace('.pypeit', '.calib') -# self.fitstbl.write_calib(calib_file) -# -# if obslog: -# log_file = pypeit_file.replace('.pypeit', '.obslog') -# log_file = os.path.join(_output_path, os.path.split(log_file)[1]) -# header = ['Auto-generated PypeIt Observing Log', -# '{0}'.format(time.strftime("%a %d %b %Y %H:%M:%S", time.localtime()))] -# self.fitstbl.write(output=log_file, columns='pypeit', sort_col='mjd', -# overwrite=True, header=header) -# -# # Finish (depends on PypeIt run mode) -# # TODO: Do we need this? -# if calibration_check: -# msgs.info("Inspect the .calib file: {:s}".format(calib_file)) -# msgs.info("*********************************************************") -# msgs.info("Calibration check complete and successful!") -# msgs.info("*********************************************************") -# -# if setup_only: -# msgs.info("Setup is complete.") -# msgs.info("Inspect the .sorted file") - - def generate_ql_calib_pypeit_files(self, output_path:str, det:str=None, configs:str='all', diff --git a/pypeit/scripts/identify.py b/pypeit/scripts/identify.py index 2bd613726a..eda7edc4ce 100644 --- a/pypeit/scripts/identify.py +++ b/pypeit/scripts/identify.py @@ -48,7 +48,6 @@ def main(args): import numpy as np from pypeit import msgs - from pypeit import calibframe from pypeit.spectrographs.util import load_spectrograph from pypeit.core.gui.identify import Identify from pypeit.core.wavecal import waveio @@ -80,7 +79,7 @@ def main(args): # Check if a solution exists solnname = WaveCalib.construct_file_name(msarc.calib_key, calib_dir=msarc.calib_dir) wv_calib = WaveCalib.from_file(solnname) \ - if os.path.exists(solnname) and args.solution else None + if os.path.exists(solnname) and args.solution else None # Load the calibration frame (if it exists and is desired). Bad-pixel mask # set to any flagged pixel in Arc. diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 9bda4eaad2..616ff85539 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -287,7 +287,7 @@ def get_parser(cls, width=None): parser.add_argument("--calib_dir", type=str, help="Location folders of calibration reductions") parser.add_argument("--masters_dir", type=str, - help="Location of PypeIt calibration files used for the reduction.") + help="Location of PypeIt Master files used for the reduction.") parser.add_argument("--calibs_only", default=False, action="store_true", help='Reduce only the calibrations?') parser.add_argument("--clobber_calibs", default=False, diff --git a/pypeit/scripts/setup.py b/pypeit/scripts/setup.py index 5a7580a287..b73d360f67 100644 --- a/pypeit/scripts/setup.py +++ b/pypeit/scripts/setup.py @@ -102,7 +102,6 @@ def main(args): ps.fitstbl.write(output=obslog_file, columns='pypeit', sort_col='mjd', overwrite=True, header=header) else: - # Output directory is hard-coded to be 'setup_files' if not output_path.exists(): output_path.mkdir(parents=True) # Write the pypeit files. diff --git a/pypeit/scripts/skysub_regions.py b/pypeit/scripts/skysub_regions.py index bcec509ecb..54df31b340 100644 --- a/pypeit/scripts/skysub_regions.py +++ b/pypeit/scripts/skysub_regions.py @@ -41,8 +41,6 @@ def main(args): from pypeit import msgs from pypeit import io from pypeit.core.gui.skysub_regions import SkySubGUI -# from pypeit.core import flexure -# from pypeit.scripts import utils from pypeit.images import buildimage from pypeit.images.detector_container import DetectorContainer from pypeit.edgetrace import EdgeTraceSet @@ -55,8 +53,6 @@ def main(args): else: detname = DetectorContainer.get_name(det) -# info = utils.Utilities(pypeit_file=args.file, det=args.det) - # Load it up spec2DObj = spec2dobj.Spec2DObj.from_file(args.file, detname, chk_version=True) frame = spec2DObj.sciimg diff --git a/pypeit/scripts/utils.py b/pypeit/scripts/utils.py deleted file mode 100644 index 088bd8ffeb..0000000000 --- a/pypeit/scripts/utils.py +++ /dev/null @@ -1,319 +0,0 @@ -""" -This file contains a series of utility functions -that can be used with the PypeIt scripts. - -.. include common links, assuming primary doc root is up one directory -.. include:: ../include/links.rst -""" - -import os -import numpy as np -from configobj import ConfigObj - -from astropy.table import Table - -from pypeit.spectrographs.util import load_spectrograph -from pypeit.par import PypeItPar -from pypeit.metadata import PypeItMetaData -from pypeit.core import procimg -from pypeit import msgs -from pypeit import slittrace -from pypeit.pypeitsetup import PypeItSetup -from pypeit.inputfiles import PypeItFile - - -class Utilities: - """ - Class with convenience functions for pypeit scripts. - - None of the functions in this script should be used by the reduction code. - - Args: - pypeit_file (:obj:`str`, optional): - Name of the pypeit file to read - spectrograph (:obj:`str`, optional): - Name of the spectrograph to load. If None, no spectrograph class is - instantiated. - iFile (:obj:`int`, optional): - 0-indexed number of a selected frame in the pypeit file - det (:obj:`int`, :obj:`tuple`, optional): - The detector/mosaic to process. - - Attributes: - pypeit_file (:obj:`str`): - The name of the input .pypeit file used for reduction. - pypeitFile (:obj:`~pypeit.inputfiles.PypeItFile`): - Object containing the data read from the pypeit file - det (:obj:`int`, :obj:`tuple`): - Detector/Mosoic identifier - iFile (:obj:`int`): - 0-indexed number of a selected frame in the pypeit file - spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): - The spectrograph used to collect the data. - par (:class:`~pypeit.par.pypeitpar.PypeItPar`): - PypeIt parameters used to set the code behavior. - fitstbl (:class:`~pypeit.metadata.PypeItMetaData`): - Object with the metadata pulled from all headers of all the files in - the pypeit file. - calib_dir (`Path`_): - Path where the processed calibration files are stored. - """ - def __init__(self, pypeit_file=None, spectrograph=None, iFile=None, det=0): - self.load_pypeit(pypeit_file) - self.det = det - if spectrograph is None: - return - self.load_spectrograph(spectrograph) - if iFile is None: - return - self.load_par(iFile=iFile) - self.load_metadata() - - def _reinit(self): - """Reset all the attributes.""" - self.pypeit_file = None - self.pypeitFile = None - self.det = None - self.iFile = None - self.spectrograph = None - self.par = None - self.fitstbl = None - self.calib_dir = None - - def load_pypeit(self, pypeit_file): - """ - Read the pypeit file. - - Args: - pypeit_file (:obj:`str`): - Name of the file to read. If None, the object is reinitialized! - """ - if pypeit_file is None: - self._reinit() - return - self.pypeit_file = pypeit_file - msgs.info(f'Loading the PypeIt file: {self.pypeit_file}') - self.pypeItFile = PypeItFile.from_file(self.pypeit_file) - - def load_spectrograph(self, spectrograph): - """ - Instantiate the spectrograph object. - - Args: - spectrograph (:obj:`str`): - Name of the spectrograph to load. If None, will try to pull the - name of the spectrograph from the ingested pypeit file - configuration parameters. If that also fails, an error is - raised. - """ - if spectrograph is None: - try: - spectrograph = ConfigObj(self.pypeitFile.cfg_lines)['rdx']['spectrograph'] - except: - spectrograph = None - if spectrograph is None: - msgs.error('Spectrograph not provided and could not be loaded from pypeit file.') - self.spectrograph = load_spectrograph(spectrograph) - - def load_par(self, iFile=None): - """ - Load the pypeit parameters. - - Args: - iFile (:obj:`int`, optional): - 0-indexed number of a selected frame in the pypeit file. This - frame is used to set the configuration-specific parameters. If - None, the first file in the pypeit file is used. - """ - if self.pypeitFile is None or self.spectrograph is None: - msgs.error('Must first load pypeit file and spectrograph to get parameters') - self.iFile = iFile - if self.iFile is None: - msgs.warn('No example file selected. Configuration specific parameters will use ' - 'first file listed in the pypeit file.') - self.iFile = 0 - spectrograph_cfg_lines = self.spectrograph.config_specific_par( - self.pypeitFile.filenames[self.iFile]).to_config() - # Load the parset - self.par = PypeItPar.from_cfg_lines(cfg_lines=spectrograph_cfg_lines, - merge_with=(self.pypeitFile.cfg_lines,)) - - def load_metadata(self): - """ - Use the ingested pypeit file data to build the metadata - (:attr:`fitstbl`). - """ - if self.spectrograph is None or self.par is None or self.pypeitFile is None: - msgs.error('To get metadata, must set spectrograph, par, and read pypeit file.') - msgs.info('Compiling metadata') - self.fitstbl = PypeItMetaData(self.spectrograph, self.par, files=self.pypeItFile.filenames, - usrdata=self.pypeItFile.data, strict=True) - self.fitstbl.finalize_usr_build(self.pypeItFile.frametypes, self.pypeItFile.setup_name) - - def load_calib_dir(self): - """ - Load the directory for/with the processed calibration frames - (:attr:`calib_dir`). - """ - if self.par is None: - msgs.error('Must first get the pypeit parameters.') - self.calib_dir = Path(self.par['rdx']['redux_path']).resolve() \ - / self.par['calibrations']['calib_dir'] - - if not self.calib_dir.exists(): - calib_dir_base = Path().resolve() / self.calib_dir.name - msgs.warn(f'Calibration directory set by parameters does not exist: {self.calib_dir}. ' - f'Trying {calib_dir_base}') - if not calib_dir_base.exists(): - msgs.error(f'{calib_dir_base} also does not exist. Cannot set valid calibration ' - 'directory.') - self.calib_dir = calib_dir_base - - def set_index(self, iFile): - """ - Set the index of the example file from the pypeit file (:attr:`iFile`). - - Args: - iFile (:obj:`int`): - The index of the file in the pypeit file. If None, use - :attr:`iFile`. If that is also None, an error is raised. An - error is also raised if the file index is less than 0 or more - than the number of files in the pypeit file. - """ - if iFile is None: - iFile = self.iFile - if iFile is None: - msgs.error('Must select file index') - nfiles = len(self.pypeitFile.filenames) - if iFile < 0 or iFile >= nfiles: - msgs.error('Selected file index not within range of ingested pypeit file: ' - f'{self.pypeit_file} contains {nfiles} files.') - self.iFile = iFile - - def get_basename(self, iFile=None): - """ - Get the name of the file at the specified index in the pypeit file. - - Only the file name is returned, not its full path. - - Args: - iFile (:obj:`int`): - The index of the file in the pypeit file; see :func:`set_index`. - - Returns: - :obj:`str`: The name of the file. - """ - if self.pypeitFile is None: - msgs.error('Must first load pypeit file') - self.set_index(iFile) - return Path(self.pypeitFile.filenames[self.iFile]).revolve().name - - def load_frame(self, iFile=None): - """ - Load, trim, and re-orient the specified file. - - Args: - iFile (:obj:`int`): - The index of the file in the pypeit file; see :func:`set_index`. - - Returns: - `numpy.ndarray`_: The image data. - """ - if self.pypeitFile is None or self.spectrograph is None: - msgs.error('Must first load pypeit file and spectrograph') - if self.det is None: - msgs.error('Must provide detector number(s).') - self.set_index(iFile) - detpar, rawimage, _, _, datasec, _ \ - = self.spectrograph.get_rawimage(self.pypeitFile.filenames[self.iFile], self.det) - rawimage = procimg.trim_frame(rawimage, datasec < 1) - return self.spectrograph.orient_image(detpar, rawimage) - - def select_science_frame(self, use_first=False, standard=False): - """ - Find all of the indices that correspond to science frames. - """ - if self.pypeitFile is None: - msgs.error('Must first load pypeit file') - sciidx = np.array([], dtype=int) - cntr = 0 - print("\nList of science frames:") - for tt in range(len(self.pypeitFile.data)): - ftype = self.pypeitFile.data['frametype'][tt].split(",") - for ff in range(len(ftype)): - if ftype[ff] == "science" or (standard and ftype[ff] == "standard"): - sciidx = np.append(sciidx, tt) - print(" ({0:d}) {1:s} ({2:s} frame)".format(cntr+1, - self.pypeitFile.data['filename'][tt], ftype[ff])) - cntr += 1 - break - # Determine which science frame the user wants - if cntr == 1: - msgs.info("Only one frame listed in .pypeit file - using that frame") - return sciidx[0] - if use_first: - return sciidx[0] - - # Interactively select the frame to use - ans = '' - while True: - ans = input(f' Which frame would you like to select [1-{cntr}]: ') - try: - ans = int(ans) - if 1 <= ans <= cntr: - return sciidx[ans-1] - except ValueError: - msgs.info("That is not a valid option!") - - def get_calib_key(self, iFile=None): - """ - Get the calibration key for a given file. - - Args: - iFile (:obj:`int`, optional): - Index of the file in the ingested pypeit file. If None, use - :attr:`iFile`. - - Returns: - :obj:`str`: Calibration key. - """ - if self.fitstbl is None: - msgs.error('Must first be able to create PypeItMetaData object. Make sure you have ' - 'provided the pypeit file and spectrograph.') - if self.det is None: - msgs.error('Must provide detector number(s) to find slit calibration frame file.') - self.set_index(iFile) - setup = self.fitstbl['setup'][self.iFile] - calib_id = CalibFrame.ingest_calib_id(self.fitstbl['calib'][self.iFile]) - detname = self.spectrograph.get_det_name(self.det) - return CalibFrame.construct_calib_key(setup, calib_id, detname) - - def get_slits(self, iFile=None): - """ - Find the slits calibration frame associated with a given file. - - Args: - iFile (:obj:`int`, optional): - Index of the file in the ingested pypeit file. If None, use - :attr:`iFile`. - - Returns: - :class:`~pypeit.slittrace.SlitTraceSet`: The object containing the - slit information. - """ - if self.fitstbl is None: - msgs.error('Must first be able to create PypeItMetaData object. Make sure you have ' - 'provided the pypeit file and spectrograph.') - if self.det is None: - msgs.error('Must provide detector number(s) to find slit calibration frame file.') - if self.calib_dir is None: - self.load_calib_dir() - calib_key = self.get_calib_key(iFile=iFile) - - # Construct the expected calibration frame file name - slits_file = Path(slittrace.SlitTraceSet.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - if not slits_file.exists(): - msgs.error(f'Slit calibration frame does not exist: {slits_file}') - return slittrace.SlitTraceSet.from_file(slits_file) - diff --git a/pypeit/tests/test_io.py b/pypeit/tests/test_io.py index a532a8003a..2e686581b0 100644 --- a/pypeit/tests/test_io.py +++ b/pypeit/tests/test_io.py @@ -11,5 +11,4 @@ def test_remove_suffix(): 'bad many suffix removal' assert io.remove_suffix('gzipped_file.fits.gz') == 'gzipped_file', 'bad gzipped removal' -test_remove_suffix() diff --git a/pypeit/wavecalib.py b/pypeit/wavecalib.py index 0ff736a75d..6f1ef90fab 100644 --- a/pypeit/wavecalib.py +++ b/pypeit/wavecalib.py @@ -16,6 +16,7 @@ from pypeit import msgs from pypeit.core import arc, qa from pypeit.core import fitting +from pypeit.core import parse from pypeit.core.wavecal import autoid, wv_fitting from pypeit.core.gui.identify import Identify from pypeit import datamodel @@ -362,8 +363,6 @@ class BuildWaveCalib: par (:class:`pypeit.par.pypeitpar.WaveSolutionPar`): The parameters used for the wavelength solution Uses ['calibrations']['wavelengths'] - binspectral (int, optional): - Binning of the Arc in the spectral dimension meta_dict (dict: optional): Dictionary containing meta information required for wavelength calibration. Specifically for non-fixed format echelles this dict @@ -404,8 +403,8 @@ class BuildWaveCalib: # TODO: Is this used anywhere? frametype = 'wv_calib' - def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, meta_dict=None, - det=1, qa_path=None, msbpm=None): + def __init__(self, msarc, slits, spectrograph, par, lamps, meta_dict=None, det=1, qa_path=None, + msbpm=None): # TODO: This should be a stop-gap to avoid instantiation of this with # any Nones. @@ -414,6 +413,7 @@ def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, met # Required parameters self.msarc = msarc + self.binspectral = parse.parse_binning(self.msarc.detector.binning)[0] self.slits = slits self.spectrograph = spectrograph self.par = par @@ -424,7 +424,6 @@ def __init__(self, msarc, slits, spectrograph, par, lamps, binspectral=None, met self.bpm = self.msarc.select_flag(flag='BPM') if msbpm is None else msbpm.astype(bool) if self.bpm.shape != self.msarc.shape: msgs.error('Bad-pixel mask is not the same shape as the arc image.') - self.binspectral = binspectral self.qa_path = qa_path self.det = det From 1493ce813e46d878e08fec238fc27915853b9713 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 30 Mar 2023 21:40:16 -0700 Subject: [PATCH 142/308] Catch missing pathlib conversions After a horrific DevSuite run, corrected several instances where the full conversion to pathlib was not done. modified: pypeit/datamodel.py modified: pypeit/spectrographs/keck_deimos.py modified: pypeit/spectrographs/vlt_xshooter.py --- pypeit/datamodel.py | 5 ++++- pypeit/spectrographs/keck_deimos.py | 17 +++++++++-------- pypeit/spectrographs/vlt_xshooter.py | 8 +++----- 3 files changed, 16 insertions(+), 14 deletions(-) diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index 98f37dd099..b071a30d39 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -459,8 +459,8 @@ def _validate(self): .. include:: ../include/links.rst """ +import pathlib import os -import warnings from IPython import embed @@ -1174,6 +1174,9 @@ def __setitem__(self, item, value): if value is None: self.__dict__[item] = value return + # Convert pathlib.Path objects to string for saving in the datamodel + if isinstance(value, pathlib.Path): + value = str(value) # Check data type if not isinstance(value, self.datamodel[item]['otype']): raise TypeError(f'Cannot assign object of type {type(value)} to {item}.\n' diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 08e09e12e4..841f10a698 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -4,6 +4,8 @@ .. include:: ../include/links.rst """ +import datetime +import pathlib import re import warnings @@ -18,8 +20,6 @@ from astropy.table import Table from astropy import units, time -import datetime - import linetools from pypeit import msgs @@ -35,8 +35,6 @@ from pypeit.images.mosaic import Mosaic from pypeit.core.mosaic import build_image_mosaic_transform -from pypeit.utils import index_of_x_eq_y - from pypeit.spectrographs import slitmask from pypeit.spectrographs.opticalmodel import ReflectionGrating, OpticalModel, DetectorMap @@ -215,9 +213,12 @@ def get_detector_par(self, det, hdu=None): # raw frame date in mjd date = time.Time(self.get_meta_value(self.get_headarr(hdu), 'mjd'), format='mjd').value # get the measurements files - measure_files = np.array((data.Paths.spectrographs / "keck_deimos" / "gain_ronoise").glob("*")) + measure_files = np.fromiter( + (data.Paths.spectrographs / "keck_deimos" / "gain_ronoise").glob("*"), + pathlib.Path + ) # Parse the dates recorded in the name of the files - measure_dates = np.array([os.path.basename(f).split('.')[2] for f in measure_files]) + measure_dates = np.array([f.name.split('.')[2] for f in measure_files]) # convert into datetime format dtime = np.array([datetime.datetime.strptime(mm, '%Y-%b-%d') for mm in measure_dates]) # convert to mjd @@ -1188,8 +1189,8 @@ def get_amapbmap(self, filename): mp_dir = data.Paths.static_calibs / 'keck_deimos' if slider in [3,4]: - self.amap = fits.getdata(os.path.join(mp_dir, f'amap.s{slider}.2003mar04.fits')) - self.bmap = fits.getdata(os.path.join(mp_dir, f'bmap.s{slider}.2003mar04.fits')) + self.amap = fits.getdata(mp_dir / f'amap.s{slider}.2003mar04.fits') + self.bmap = fits.getdata(mp_dir / f'bmap.s{slider}.2003mar04.fits') else: msgs.error('No amap/bmap available for slider {0}. Set `use_maskdesign = False`'.format(slider)) #TODO: Figure out which amap and bmap to use for slider 2 diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index c6a0627066..bfcbe63d94 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -436,11 +436,10 @@ def bpm(self, filename, det, shape=None, msbias=None): if det == 1: bpm_dir = data.Paths.static_calibs / 'vlt_xshoooter' try : - bpm_loc = np.loadtxt(os.path.join(bpm_dir, 'BP_MAP_RP_NIR.dat'), - usecols=(0,1)) + bpm_loc = np.loadtxt(bpm_dir / 'BP_MAP_RP_NIR.dat', usecols=(0,1)) except IOError : msgs.warn('BP_MAP_RP_NIR.dat not present in the static database') - bpm_fits = io.fits_open(os.path.join(bpm_dir, 'BP_MAP_RP_NIR.fits.gz')) + bpm_fits = io.fits_open(bpm_dir / 'BP_MAP_RP_NIR.fits.gz') # ToDo: this depends on datasec, biassec, specflip, and specaxis # and should become able to adapt to these parameters. # Flipping and shifting BPM to match the PypeIt format @@ -456,8 +455,7 @@ def bpm(self, filename, det, shape=None, msbias=None): filt_bpm = bpm_data_pypeit[1:y_len,1:x_len]>100. y_bpm, x_bpm = np.where(filt_bpm) bpm_loc = np.array([y_bpm,x_bpm]).T - np.savetxt(os.path.join(bpm_dir, 'BP_MAP_RP_NIR.dat'), bpm_loc, - fmt=['%d','%d']) + np.savetxt(bpm_dir / 'BP_MAP_RP_NIR.dat', bpm_loc, fmt=['%d','%d']) finally : bpm_img[bpm_loc[:,0].astype(int),bpm_loc[:,1].astype(int)] = 1. From eee65cdc37f575f91477e303fb0d9833aa13f281 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 30 Mar 2023 22:11:12 -0700 Subject: [PATCH 143/308] Catch issue with --- pypeit/core/wavecal/templates.py | 5 +++-- pypeit/core/wavecal/waveio.py | 1 + pypeit/spectrographs/keck_lris.py | 5 +++-- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/pypeit/core/wavecal/templates.py b/pypeit/core/wavecal/templates.py index 4ee69ab7b0..fda9c585c0 100644 --- a/pypeit/core/wavecal/templates.py +++ b/pypeit/core/wavecal/templates.py @@ -17,7 +17,7 @@ from astropy.table import Table from astropy import units -from linetools import utils as ltu +import linetools.utils from pypeit import msgs from pypeit import utils @@ -244,7 +244,8 @@ def pypeit_arcspec(in_file, slit, binspec, binning=None): """ if '.json' in in_file: - wv_dict = ltu.loadjson(in_file) + # Force any possible pathlib.Path object to string before `loadjson` + wv_dict = linetools.utils.loadjson(str(in_file)) iwv_calib = wv_dict[str(slit)] pypeitFitting = fitting.PypeItFit(fitc=np.array(iwv_calib['fitc']), func=iwv_calib['function'], diff --git a/pypeit/core/wavecal/waveio.py b/pypeit/core/wavecal/waveio.py index 48f6f82317..2e524543cb 100644 --- a/pypeit/core/wavecal/waveio.py +++ b/pypeit/core/wavecal/waveio.py @@ -29,6 +29,7 @@ def load_wavelength_calibration(filename: pathlib.Path) -> dict: if not filename.is_file(): msgs.error(f"File does not exist: {filename}") + # Force any possible pathlib.Path object to string before `loadjson` wv_calib = linetools.utils.loadjson(str(filename)) # Recast a few items as arrays diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index 6acb2fdf2f..f4b32ac946 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -15,7 +15,7 @@ from astropy.coordinates import SkyCoord from astropy import units -from linetools import utils as ltu +import linetools.utils from pypeit import msgs from pypeit import telescopes @@ -1374,7 +1374,8 @@ def get_detector_par(self, det, hdu=None): ampmode_translate_file = ( data.Paths.data / 'spectrographs' / 'keck_lris_red_mark4' / 'dict_for_ampmode.json' ) - ampmode_translate_dict = ltu.loadjson(ampmode_translate_file) + # Force any possible pathlib.Path object to string before `loadjson` + ampmode_translate_dict = linetools.utils.loadjson(str(ampmode_translate_file)) # Load up the corrected header swap_binning = f"{binning[-1]},{binning[0]}" # LRIS convention is oppopsite ours header_file = ( From 5181bc223e6b0cb69941398eb4908affdada9748 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 31 Mar 2023 08:19:10 -0700 Subject: [PATCH 144/308] bug fixes --- pypeit/coadd2d.py | 6 ------ pypeit/images/pypeitimage.py | 2 +- pypeit/specobjs.py | 7 +------ pypeit/tests/test_calibframe.py | 2 ++ pypeit/tests/test_pypeitimage.py | 1 + 5 files changed, 5 insertions(+), 13 deletions(-) diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index 7f2e32224a..213e256976 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -576,12 +576,6 @@ def reduce(self, pseudo_dict, show=False, clear_ginga=True, show_peaks=False, sh parcopy = copy.deepcopy(self.par) parcopy['reduce']['findobj']['trace_npoly'] = 3 # Low order traces since we are rectified - # Build the Calibrate object - caliBrate = calibrations.Calibrations(None, self.par['calibrations'], self.spectrograph, None) - caliBrate.slits = pseudo_dict['slits'] - caliBrate.det = self.det -# caliBrate.binning = self.binning - # Manual extraction. manual_obj = None if self.par['coadd2d']['manual'] is not None and len(self.par['coadd2d']['manual']) > 0: diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index 8817917a0b..eecbf5aa4a 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -829,7 +829,7 @@ def _base_header(self, hdr=None): `astropy.io.fits.Header`_: The initialized (or edited) fits header. """ # Standard init - _hdr = io.initialize_header(hdr) + _hdr = super()._base_header(hdr=hdr) # - List the completed steps if self.process_steps is not None: diff --git a/pypeit/specobjs.py b/pypeit/specobjs.py index 1c55ab41a5..227c62c807 100644 --- a/pypeit/specobjs.py +++ b/pypeit/specobjs.py @@ -731,10 +731,6 @@ def write_to_fits(self, subheader, outfile, overwrite=True, update_det=None, # A few more for the header prihdu.header['NSPEC'] = nspec - # THIS IS DONE ABOVE -# # Code versions -# io.initialize_header(hdr=prihdu.header) - # Finish hdulist = fits.HDUList(hdus) if debug: @@ -742,8 +738,7 @@ def write_to_fits(self, subheader, outfile, overwrite=True, update_det=None, #embed() #exit() hdulist.writeto(outfile, overwrite=overwrite) - msgs.info("Wrote 1D spectra to {:s}".format(outfile)) - return + msgs.info(f'Wrote 1D spectra to {outfile}') def write_info(self, outfile, pypeline): """ diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index 2d940baca2..e0c96e0731 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -135,6 +135,8 @@ def test_parse_key_dir(): assert key == calib.calib_key, 'Key parsed incorrectly' assert _odir == calib.calib_dir, 'Key parsed incorrectly' + opath.unlink() + def test_hdr(): calib = MinimalCalibFrame() diff --git a/pypeit/tests/test_pypeitimage.py b/pypeit/tests/test_pypeitimage.py index 6602934f27..c8302ef9e7 100644 --- a/pypeit/tests/test_pypeitimage.py +++ b/pypeit/tests/test_pypeitimage.py @@ -38,6 +38,7 @@ def test_full(): assert np.array_equal(_pypeitImage.fullmask.mask, pypeitImage.fullmask.mask), \ 'mask array changed' + def test_sub(): shape = (10,10) # Create two images From b40bd136aa474c3fbb51c922fd79f269cd2b577e Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 31 Mar 2023 08:41:42 -0700 Subject: [PATCH 145/308] doc update --- doc/dev/niresconfig.rst | 8 +- doc/include/class_datamodel_specobj.rst | 136 +++++++++--------- doc/include/datamodel_specobj.rst | 136 +++++++++--------- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos_A.pypeit.rst | 2 +- doc/include/keck_nires_A.pypeit.rst | 13 +- doc/include/keck_nires_A_corrected.pypeit.rst | 14 +- doc/include/shane_kast_blue_A.pypeit.rst | 2 +- doc/include/spectrographs_table.rst | 2 +- doc/pypeit_par.rst | 30 ++-- 10 files changed, 175 insertions(+), 170 deletions(-) diff --git a/doc/dev/niresconfig.rst b/doc/dev/niresconfig.rst index 8813ad351d..e300a05914 100644 --- a/doc/dev/niresconfig.rst +++ b/doc/dev/niresconfig.rst @@ -141,10 +141,10 @@ background image for the frame taken at the center. Here is an example: .. code-block:: console - filename | frametype | ... | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id -NR.20181126.38930.fits | arc,science,tilt | ... | ABC | A | 0.0 | 31 | 1 | 1 | 2 -NR.20181126.39604.fits | arc,science,tilt | ... | ABC | B | 5.0 | 32 | 1 | 2 | 3 -NR.20181126.40277.fits | arc,science,tilt | ... | ABC | C | -5.0 | 33 | 1 | 3 | 2 + filename | frametype | ... | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id + NR.20181126.38930.fits | arc,science,tilt | ... | ABC | A | 0.0 | 31 | 1 | 1 | 2 + NR.20181126.39604.fits | arc,science,tilt | ... | ABC | B | 5.0 | 32 | 1 | 2 | 3 + NR.20181126.40277.fits | arc,science,tilt | ... | ABC | C | -5.0 | 33 | 1 | 3 | 2 This combination of ``comb_id`` and ``bkg_id`` will create three reduced frames: diff --git a/doc/include/class_datamodel_specobj.rst b/doc/include/class_datamodel_specobj.rst index ce471eae23..b050688719 100644 --- a/doc/include/class_datamodel_specobj.rst +++ b/doc/include/class_datamodel_specobj.rst @@ -1,69 +1,71 @@ -**Version**: 1.1.7 +**Version**: 1.1.8 -====================== =================================================================================================== ===================== ==================================================================================================================================================================================== -Attribute Type Array Type Description -====================== =================================================================================================== ===================== ==================================================================================================================================================================================== -``BOX_CHI2`` `numpy.ndarray`_ float Reduced chi2 of the model fit for this spectral pixel -``BOX_COUNTS`` `numpy.ndarray`_ float Boxcar flux (counts) -``BOX_COUNTS_IVAR`` `numpy.ndarray`_ float Inverse variance of optimally extracted flux using modelivar image (counts^2) -``BOX_COUNTS_NIVAR`` `numpy.ndarray`_ float Boxcar extracted noise variance, sky+read noise only (counts^2) -``BOX_COUNTS_SIG`` `numpy.ndarray`_ float Boxcar extracted noise from IVAR (counts) -``BOX_COUNTS_SIG_DET`` `numpy.ndarray`_ float Boxcar extracted detector noise (counts) -``BOX_COUNTS_SKY`` `numpy.ndarray`_ float Boxcar extracted sky (counts) -``BOX_FLAM`` `numpy.ndarray`_ float Boxcar flux (erg/s/cm^2/Ang) -``BOX_FLAM_IVAR`` `numpy.ndarray`_ float Boxcar flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 -``BOX_FLAM_SIG`` `numpy.ndarray`_ float Boxcar flux uncertainty (1e-17 erg/s/cm^2/Ang) -``BOX_FRAC_USE`` `numpy.ndarray`_ float Fraction of pixels in the object profile subimage used for this extraction -``BOX_MASK`` `numpy.ndarray`_ `numpy.bool_`_ Mask for boxcar extracted flux. True=good -``BOX_NPIX`` `numpy.ndarray`_ float Number of pixels used for the boxcar extraction; can be fractional -``BOX_RADIUS`` float Size of boxcar radius (pixels) -``BOX_WAVE`` `numpy.ndarray`_ float Boxcar Wavelengths in vacuum (Angstroms) -``DEC`` float Declination (J2000) decimal degree -``DET`` str A string identifier for the reduced detector or mosaic. -``DETECTOR`` :class:`~pypeit.images.detector_container.DetectorContainer`, :class:`~pypeit.images.mosaic.Mosaic` Object with the detector or mosaic metadata -``ECH_FRACPOS`` float, `numpy.floating`_ Synced echelle fractional location of the object on the slit -``ECH_NAME`` str Name of the object for echelle data. Same as NAME above but order numbers are omitted giving a unique name per object. -``ECH_OBJID`` int, `numpy.integer`_ Object ID for echelle data. Each object is given an index in the order it appears increasing from from left to right. These are one based. -``ECH_ORDER`` int, `numpy.integer`_ Physical echelle order -``ECH_ORDERINDX`` int, `numpy.integer`_ Order indx, analogous to SLITID for echelle. Zero based. -``FLEX_SHIFT_GLOBAL`` float Global shift of the spectrum to correct for spectralflexure (pixels). This is based on the sky spectrum atthe center of the slit -``FLEX_SHIFT_LOCAL`` float Local shift of the spectrum to correct for spectralflexure (pixels). This should be a small correction tothe global value, and is based on the sky spectrumextracted near the object -``FLEX_SHIFT_TOTAL`` float Total shift of the spectrum to correct for spectralflexure (pixels). This is the sum of the global andlocal FLEX_SHIFT -``FWHM`` float Spatial FWHM of the object (pixels) -``FWHMFIT`` `numpy.ndarray`_ Spatial FWHM across the detector (pixels) -``MASKDEF_EXTRACT`` bool Boolean indicating if this is a forced extraction at the expected location from slitmask design. -``MASKDEF_ID`` int, `numpy.integer`_ Slitmask definition ID -``MASKDEF_OBJNAME`` str Name of the object from the slitmask definition -``NAME`` str Name of the object following the naming model -``OBJID`` int, `numpy.integer`_ Object ID for multislit data. Each object is given an index for the slit it appears increasing from from left to right. These are one based. -``OBJTYPE`` str Object type (e.g., standard, science) -``OPT_CHI2`` `numpy.ndarray`_ float Reduced chi2 of the model fit for this spectral pixel -``OPT_COUNTS`` `numpy.ndarray`_ float Optimal flux (counts) -``OPT_COUNTS_IVAR`` `numpy.ndarray`_ float Inverse variance of optimally extracted flux using modelivar image (counts^2) -``OPT_COUNTS_NIVAR`` `numpy.ndarray`_ float Optimally extracted noise variance, sky+read noise only (counts^2) -``OPT_COUNTS_SIG`` `numpy.ndarray`_ float Optimally extracted noise from IVAR (counts) -``OPT_COUNTS_SIG_DET`` `numpy.ndarray`_ float Optimally extracted detector noise (counts) -``OPT_COUNTS_SKY`` `numpy.ndarray`_ float Optimally extracted sky (counts) -``OPT_FLAM`` `numpy.ndarray`_ float Optimal flux (1e-17 erg/s/cm^2/Ang) -``OPT_FLAM_IVAR`` `numpy.ndarray`_ float Optimal flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 -``OPT_FLAM_SIG`` `numpy.ndarray`_ float Optimal flux uncertainty (1e-17 erg/s/cm^2/Ang) -``OPT_FRAC_USE`` `numpy.ndarray`_ float Fraction of pixels in the object profile subimage used for this extraction -``OPT_MASK`` `numpy.ndarray`_ `numpy.bool_`_ Mask for optimally extracted flux. True=good -``OPT_WAVE`` `numpy.ndarray`_ float Optimal Wavelengths in vacuum (Angstroms) -``PYPELINE`` str Name of the PypeIt pipeline mode -``RA`` float Right Ascension (J2000) decimal degree -``S2N`` float Median signal to noise ratio of the extracted spectrum(OPT if available, otherwise BOX) -``SLITID`` int, `numpy.integer`_ PypeIt slit ID (aka SPAT_ID). -``SPAT_FRACPOS`` float, `numpy.floating`_ Fractional location of the object on the slit -``SPAT_PIXPOS`` float, `numpy.floating`_ Spatial location of the trace on detector (pixel) at half-way -``TRACE_SPAT`` `numpy.ndarray`_ float Object trace along the spec (spatial pixel) -``VEL_CORR`` float Relativistic velocity correction for wavelengths -``VEL_TYPE`` str Type of heliocentric correction (if any) -``WAVE_RMS`` float, `numpy.floating`_ RMS (pix) for the wavelength solution for this slit. -``hand_extract_flag`` bool Boolean indicating if this is a forced extraction at the location provided by the user. -``maskwidth`` float, `numpy.floating`_ Size (in units of fwhm) of the region used for local sky subtraction -``smash_peakflux`` float Peak value of the spectral direction collapsed spatial profile -``smash_snr`` float Peak S/N ratio of the spectral direction collapsed patial profile -``trace_spec`` `numpy.ndarray`_ int, `numpy.integer`_ Array of pixels along the spectral direction -====================== =================================================================================================== ===================== ==================================================================================================================================================================================== +======================= =================================================================================================== ===================== ==================================================================================================================================================================================== +Attribute Type Array Type Description +======================= =================================================================================================== ===================== ==================================================================================================================================================================================== +``BOX_CHI2`` `numpy.ndarray`_ float Reduced chi2 of the model fit for this spectral pixel +``BOX_COUNTS`` `numpy.ndarray`_ float Boxcar flux (counts) +``BOX_COUNTS_IVAR`` `numpy.ndarray`_ float Inverse variance of optimally extracted flux using modelivar image (counts^2) +``BOX_COUNTS_NIVAR`` `numpy.ndarray`_ float Boxcar extracted noise variance, sky+read noise only (counts^2) +``BOX_COUNTS_SIG`` `numpy.ndarray`_ float Boxcar extracted noise from IVAR (counts) +``BOX_COUNTS_SIG_DET`` `numpy.ndarray`_ float Boxcar extracted detector noise (counts) +``BOX_COUNTS_SKY`` `numpy.ndarray`_ float Boxcar extracted sky (counts) +``BOX_FLAM`` `numpy.ndarray`_ float Boxcar flux (erg/s/cm^2/Ang) +``BOX_FLAM_IVAR`` `numpy.ndarray`_ float Boxcar flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 +``BOX_FLAM_SIG`` `numpy.ndarray`_ float Boxcar flux uncertainty (1e-17 erg/s/cm^2/Ang) +``BOX_FRAC_USE`` `numpy.ndarray`_ float Fraction of pixels in the object profile subimage used for this extraction +``BOX_MASK`` `numpy.ndarray`_ `numpy.bool_`_ Mask for boxcar extracted flux. True=good +``BOX_NPIX`` `numpy.ndarray`_ float Number of pixels used for the boxcar extraction; can be fractional +``BOX_RADIUS`` float Size of boxcar radius (pixels) +``BOX_WAVE`` `numpy.ndarray`_ float Boxcar Wavelengths in vacuum (Angstroms) +``DEC`` float Declination (J2000) decimal degree +``DET`` str A string identifier for the reduced detector or mosaic. +``DETECTOR`` :class:`~pypeit.images.detector_container.DetectorContainer`, :class:`~pypeit.images.mosaic.Mosaic` Object with the detector or mosaic metadata +``ECH_FRACPOS`` float, `numpy.floating`_ Synced echelle fractional location of the object on the slit +``ECH_NAME`` str Name of the object for echelle data. Same as NAME above but order numbers are omitted giving a unique name per object. +``ECH_OBJID`` int, `numpy.integer`_ Object ID for echelle data. Each object is given an index in the order it appears increasing from from left to right. These are one based. +``ECH_ORDER`` int, `numpy.integer`_ Physical echelle order +``ECH_ORDERINDX`` int, `numpy.integer`_ Order indx, analogous to SLITID for echelle. Zero based. +``FLEX_SHIFT_GLOBAL`` float Global shift of the spectrum to correct for spectralflexure (pixels). This is based on the sky spectrum atthe center of the slit +``FLEX_SHIFT_LOCAL`` float Local shift of the spectrum to correct for spectralflexure (pixels). This should be a small correction tothe global value, and is based on the sky spectrumextracted near the object +``FLEX_SHIFT_TOTAL`` float Total shift of the spectrum to correct for spectralflexure (pixels). This is the sum of the global andlocal FLEX_SHIFT +``FWHM`` float Spatial FWHM of the object (pixels) +``FWHMFIT`` `numpy.ndarray`_ Spatial FWHM across the detector (pixels) +``MASKDEF_EXTRACT`` bool Boolean indicating if this is a forced extraction at the expected location from slitmask design. +``MASKDEF_ID`` int, `numpy.integer`_ Slitmask definition ID +``MASKDEF_OBJMAG`` float Magnitude of the object from the slitmask definition +``MASKDEF_OBJMAG_BAND`` str Magnitude band of the object from the slitmask definition +``MASKDEF_OBJNAME`` str Name of the object from the slitmask definition +``NAME`` str Name of the object following the naming model +``OBJID`` int, `numpy.integer`_ Object ID for multislit data. Each object is given an index for the slit it appears increasing from from left to right. These are one based. +``OBJTYPE`` str Object type (e.g., standard, science) +``OPT_CHI2`` `numpy.ndarray`_ float Reduced chi2 of the model fit for this spectral pixel +``OPT_COUNTS`` `numpy.ndarray`_ float Optimal flux (counts) +``OPT_COUNTS_IVAR`` `numpy.ndarray`_ float Inverse variance of optimally extracted flux using modelivar image (counts^2) +``OPT_COUNTS_NIVAR`` `numpy.ndarray`_ float Optimally extracted noise variance, sky+read noise only (counts^2) +``OPT_COUNTS_SIG`` `numpy.ndarray`_ float Optimally extracted noise from IVAR (counts) +``OPT_COUNTS_SIG_DET`` `numpy.ndarray`_ float Optimally extracted detector noise (counts) +``OPT_COUNTS_SKY`` `numpy.ndarray`_ float Optimally extracted sky (counts) +``OPT_FLAM`` `numpy.ndarray`_ float Optimal flux (1e-17 erg/s/cm^2/Ang) +``OPT_FLAM_IVAR`` `numpy.ndarray`_ float Optimal flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 +``OPT_FLAM_SIG`` `numpy.ndarray`_ float Optimal flux uncertainty (1e-17 erg/s/cm^2/Ang) +``OPT_FRAC_USE`` `numpy.ndarray`_ float Fraction of pixels in the object profile subimage used for this extraction +``OPT_MASK`` `numpy.ndarray`_ `numpy.bool_`_ Mask for optimally extracted flux. True=good +``OPT_WAVE`` `numpy.ndarray`_ float Optimal Wavelengths in vacuum (Angstroms) +``PYPELINE`` str Name of the PypeIt pipeline mode +``RA`` float Right Ascension (J2000) decimal degree +``S2N`` float Median signal to noise ratio of the extracted spectrum(OPT if available, otherwise BOX) +``SLITID`` int, `numpy.integer`_ PypeIt slit ID (aka SPAT_ID). +``SPAT_FRACPOS`` float, `numpy.floating`_ Fractional location of the object on the slit +``SPAT_PIXPOS`` float, `numpy.floating`_ Spatial location of the trace on detector (pixel) at half-way +``TRACE_SPAT`` `numpy.ndarray`_ float Object trace along the spec (spatial pixel) +``VEL_CORR`` float Relativistic velocity correction for wavelengths +``VEL_TYPE`` str Type of heliocentric correction (if any) +``WAVE_RMS`` float, `numpy.floating`_ RMS (pix) for the wavelength solution for this slit. +``hand_extract_flag`` bool Boolean indicating if this is a forced extraction at the location provided by the user. +``maskwidth`` float, `numpy.floating`_ Size (in units of fwhm) of the region used for local sky subtraction +``smash_peakflux`` float Peak value of the spectral direction collapsed spatial profile +``smash_snr`` float Peak S/N ratio of the spectral direction collapsed patial profile +``trace_spec`` `numpy.ndarray`_ int, `numpy.integer`_ Array of pixels along the spectral direction +======================= =================================================================================================== ===================== ==================================================================================================================================================================================== diff --git a/doc/include/datamodel_specobj.rst b/doc/include/datamodel_specobj.rst index 63e76df5dc..eea96330c5 100644 --- a/doc/include/datamodel_specobj.rst +++ b/doc/include/datamodel_specobj.rst @@ -1,70 +1,72 @@ -Version: 1.1.7 +Version: 1.1.8 -====================== ========================= ================= ==================================================================================================================================================================================== -Obj Key Obj Type Array Type Description -====================== ========================= ================= ==================================================================================================================================================================================== -``BOX_CHI2`` ndarray float Reduced chi2 of the model fit for this spectral pixel -``BOX_COUNTS`` ndarray float Boxcar flux (counts) -``BOX_COUNTS_IVAR`` ndarray float Inverse variance of optimally extracted flux using modelivar image (counts^2) -``BOX_COUNTS_NIVAR`` ndarray float Boxcar extracted noise variance, sky+read noise only (counts^2) -``BOX_COUNTS_SIG`` ndarray float Boxcar extracted noise from IVAR (counts) -``BOX_COUNTS_SIG_DET`` ndarray float Boxcar extracted detector noise (counts) -``BOX_COUNTS_SKY`` ndarray float Boxcar extracted sky (counts) -``BOX_FLAM`` ndarray float Boxcar flux (erg/s/cm^2/Ang) -``BOX_FLAM_IVAR`` ndarray float Boxcar flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 -``BOX_FLAM_SIG`` ndarray float Boxcar flux uncertainty (1e-17 erg/s/cm^2/Ang) -``BOX_FRAC_USE`` ndarray float Fraction of pixels in the object profile subimage used for this extraction -``BOX_MASK`` ndarray bool Mask for boxcar extracted flux. True=good -``BOX_NPIX`` ndarray float Number of pixels used for the boxcar extraction; can be fractional -``BOX_RADIUS`` float Size of boxcar radius (pixels) -``BOX_WAVE`` ndarray float Boxcar Wavelengths in vacuum (Angstroms) -``DEC`` float Declination (J2000) decimal degree -``DET`` str A string identifier for the reduced detector or mosaic. -``DETECTOR`` DetectorContainer, Mosaic Object with the detector or mosaic metadata -``ECH_FRACPOS`` float, floating Synced echelle fractional location of the object on the slit -``ECH_NAME`` str Name of the object for echelle data. Same as NAME above but order numbers are omitted giving a unique name per object. -``ECH_OBJID`` int, integer Object ID for echelle data. Each object is given an index in the order it appears increasing from from left to right. These are one based. -``ECH_ORDER`` int, integer Physical echelle order -``ECH_ORDERINDX`` int, integer Order indx, analogous to SLITID for echelle. Zero based. -``FLEX_SHIFT_GLOBAL`` float Global shift of the spectrum to correct for spectralflexure (pixels). This is based on the sky spectrum atthe center of the slit -``FLEX_SHIFT_LOCAL`` float Local shift of the spectrum to correct for spectralflexure (pixels). This should be a small correction tothe global value, and is based on the sky spectrumextracted near the object -``FLEX_SHIFT_TOTAL`` float Total shift of the spectrum to correct for spectralflexure (pixels). This is the sum of the global andlocal FLEX_SHIFT -``FWHM`` float Spatial FWHM of the object (pixels) -``FWHMFIT`` ndarray Spatial FWHM across the detector (pixels) -``MASKDEF_EXTRACT`` bool Boolean indicating if this is a forced extraction at the expected location from slitmask design. -``MASKDEF_ID`` int, integer Slitmask definition ID -``MASKDEF_OBJNAME`` str Name of the object from the slitmask definition -``NAME`` str Name of the object following the naming model -``OBJID`` int, integer Object ID for multislit data. Each object is given an index for the slit it appears increasing from from left to right. These are one based. -``OBJTYPE`` str Object type (e.g., standard, science) -``OPT_CHI2`` ndarray float Reduced chi2 of the model fit for this spectral pixel -``OPT_COUNTS`` ndarray float Optimal flux (counts) -``OPT_COUNTS_IVAR`` ndarray float Inverse variance of optimally extracted flux using modelivar image (counts^2) -``OPT_COUNTS_NIVAR`` ndarray float Optimally extracted noise variance, sky+read noise only (counts^2) -``OPT_COUNTS_SIG`` ndarray float Optimally extracted noise from IVAR (counts) -``OPT_COUNTS_SIG_DET`` ndarray float Optimally extracted detector noise (counts) -``OPT_COUNTS_SKY`` ndarray float Optimally extracted sky (counts) -``OPT_FLAM`` ndarray float Optimal flux (1e-17 erg/s/cm^2/Ang) -``OPT_FLAM_IVAR`` ndarray float Optimal flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 -``OPT_FLAM_SIG`` ndarray float Optimal flux uncertainty (1e-17 erg/s/cm^2/Ang) -``OPT_FRAC_USE`` ndarray float Fraction of pixels in the object profile subimage used for this extraction -``OPT_MASK`` ndarray bool Mask for optimally extracted flux. True=good -``OPT_WAVE`` ndarray float Optimal Wavelengths in vacuum (Angstroms) -``PYPELINE`` str Name of the PypeIt pipeline mode -``RA`` float Right Ascension (J2000) decimal degree -``S2N`` float Median signal to noise ratio of the extracted spectrum(OPT if available, otherwise BOX) -``SLITID`` int, integer PypeIt slit ID (aka SPAT_ID). -``SPAT_FRACPOS`` float, floating Fractional location of the object on the slit -``SPAT_PIXPOS`` float, floating Spatial location of the trace on detector (pixel) at half-way -``TRACE_SPAT`` ndarray float Object trace along the spec (spatial pixel) -``VEL_CORR`` float Relativistic velocity correction for wavelengths -``VEL_TYPE`` str Type of heliocentric correction (if any) -``WAVE_RMS`` float, floating RMS (pix) for the wavelength solution for this slit. -``hand_extract_flag`` bool Boolean indicating if this is a forced extraction at the location provided by the user. -``maskwidth`` float, floating Size (in units of fwhm) of the region used for local sky subtraction -``smash_peakflux`` float Peak value of the spectral direction collapsed spatial profile -``smash_snr`` float Peak S/N ratio of the spectral direction collapsed patial profile -``trace_spec`` ndarray int,numpy.integer Array of pixels along the spectral direction -====================== ========================= ================= ==================================================================================================================================================================================== +======================= ========================= ================= ==================================================================================================================================================================================== +Obj Key Obj Type Array Type Description +======================= ========================= ================= ==================================================================================================================================================================================== +``BOX_CHI2`` ndarray float Reduced chi2 of the model fit for this spectral pixel +``BOX_COUNTS`` ndarray float Boxcar flux (counts) +``BOX_COUNTS_IVAR`` ndarray float Inverse variance of optimally extracted flux using modelivar image (counts^2) +``BOX_COUNTS_NIVAR`` ndarray float Boxcar extracted noise variance, sky+read noise only (counts^2) +``BOX_COUNTS_SIG`` ndarray float Boxcar extracted noise from IVAR (counts) +``BOX_COUNTS_SIG_DET`` ndarray float Boxcar extracted detector noise (counts) +``BOX_COUNTS_SKY`` ndarray float Boxcar extracted sky (counts) +``BOX_FLAM`` ndarray float Boxcar flux (erg/s/cm^2/Ang) +``BOX_FLAM_IVAR`` ndarray float Boxcar flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 +``BOX_FLAM_SIG`` ndarray float Boxcar flux uncertainty (1e-17 erg/s/cm^2/Ang) +``BOX_FRAC_USE`` ndarray float Fraction of pixels in the object profile subimage used for this extraction +``BOX_MASK`` ndarray bool Mask for boxcar extracted flux. True=good +``BOX_NPIX`` ndarray float Number of pixels used for the boxcar extraction; can be fractional +``BOX_RADIUS`` float Size of boxcar radius (pixels) +``BOX_WAVE`` ndarray float Boxcar Wavelengths in vacuum (Angstroms) +``DEC`` float Declination (J2000) decimal degree +``DET`` str A string identifier for the reduced detector or mosaic. +``DETECTOR`` DetectorContainer, Mosaic Object with the detector or mosaic metadata +``ECH_FRACPOS`` float, floating Synced echelle fractional location of the object on the slit +``ECH_NAME`` str Name of the object for echelle data. Same as NAME above but order numbers are omitted giving a unique name per object. +``ECH_OBJID`` int, integer Object ID for echelle data. Each object is given an index in the order it appears increasing from from left to right. These are one based. +``ECH_ORDER`` int, integer Physical echelle order +``ECH_ORDERINDX`` int, integer Order indx, analogous to SLITID for echelle. Zero based. +``FLEX_SHIFT_GLOBAL`` float Global shift of the spectrum to correct for spectralflexure (pixels). This is based on the sky spectrum atthe center of the slit +``FLEX_SHIFT_LOCAL`` float Local shift of the spectrum to correct for spectralflexure (pixels). This should be a small correction tothe global value, and is based on the sky spectrumextracted near the object +``FLEX_SHIFT_TOTAL`` float Total shift of the spectrum to correct for spectralflexure (pixels). This is the sum of the global andlocal FLEX_SHIFT +``FWHM`` float Spatial FWHM of the object (pixels) +``FWHMFIT`` ndarray Spatial FWHM across the detector (pixels) +``MASKDEF_EXTRACT`` bool Boolean indicating if this is a forced extraction at the expected location from slitmask design. +``MASKDEF_ID`` int, integer Slitmask definition ID +``MASKDEF_OBJMAG`` float Magnitude of the object from the slitmask definition +``MASKDEF_OBJMAG_BAND`` str Magnitude band of the object from the slitmask definition +``MASKDEF_OBJNAME`` str Name of the object from the slitmask definition +``NAME`` str Name of the object following the naming model +``OBJID`` int, integer Object ID for multislit data. Each object is given an index for the slit it appears increasing from from left to right. These are one based. +``OBJTYPE`` str Object type (e.g., standard, science) +``OPT_CHI2`` ndarray float Reduced chi2 of the model fit for this spectral pixel +``OPT_COUNTS`` ndarray float Optimal flux (counts) +``OPT_COUNTS_IVAR`` ndarray float Inverse variance of optimally extracted flux using modelivar image (counts^2) +``OPT_COUNTS_NIVAR`` ndarray float Optimally extracted noise variance, sky+read noise only (counts^2) +``OPT_COUNTS_SIG`` ndarray float Optimally extracted noise from IVAR (counts) +``OPT_COUNTS_SIG_DET`` ndarray float Optimally extracted detector noise (counts) +``OPT_COUNTS_SKY`` ndarray float Optimally extracted sky (counts) +``OPT_FLAM`` ndarray float Optimal flux (1e-17 erg/s/cm^2/Ang) +``OPT_FLAM_IVAR`` ndarray float Optimal flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 +``OPT_FLAM_SIG`` ndarray float Optimal flux uncertainty (1e-17 erg/s/cm^2/Ang) +``OPT_FRAC_USE`` ndarray float Fraction of pixels in the object profile subimage used for this extraction +``OPT_MASK`` ndarray bool Mask for optimally extracted flux. True=good +``OPT_WAVE`` ndarray float Optimal Wavelengths in vacuum (Angstroms) +``PYPELINE`` str Name of the PypeIt pipeline mode +``RA`` float Right Ascension (J2000) decimal degree +``S2N`` float Median signal to noise ratio of the extracted spectrum(OPT if available, otherwise BOX) +``SLITID`` int, integer PypeIt slit ID (aka SPAT_ID). +``SPAT_FRACPOS`` float, floating Fractional location of the object on the slit +``SPAT_PIXPOS`` float, floating Spatial location of the trace on detector (pixel) at half-way +``TRACE_SPAT`` ndarray float Object trace along the spec (spatial pixel) +``VEL_CORR`` float Relativistic velocity correction for wavelengths +``VEL_TYPE`` str Type of heliocentric correction (if any) +``WAVE_RMS`` float, floating RMS (pix) for the wavelength solution for this slit. +``hand_extract_flag`` bool Boolean indicating if this is a forced extraction at the location provided by the user. +``maskwidth`` float, floating Size (in units of fwhm) of the region used for local sky subtraction +``smash_peakflux`` float Peak value of the spectral direction collapsed spatial profile +``smash_snr`` float Peak S/N ratio of the spectral direction collapsed patial profile +``trace_spec`` ndarray int,numpy.integer Array of pixels along the spectral direction +======================= ========================= ================= ==================================================================================================================================================================================== diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index c8ac963fa0..6ad7295ef5 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T00:12:34.603 + # UTC 2023-03-31T15:27:40.028 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index ed913323b5..4e38877460 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T00:12:34.056 + # UTC 2023-03-31T15:27:39.468 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 698506fa5e..594ea2e7d6 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,29 +1,26 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T00:12:45.849 + # UTC 2023-03-31T15:27:53.051 # User-defined execution parameters [rdx] spectrograph = keck_nires - + # Setup setup read Setup A: dispname: spec setup end - - # Data block + + # Data block data read - path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard + path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 2 | 3 | -1 s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 2 | 4 | -1 - s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 - s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 - s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 s190519_0010.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0743023767 | 1.41291034446565 | 100.0 | none | None | 0.0 | 10 | all | -1 | -1 s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | none | None | 0.0 | 12 | all | -1 | -1 s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | none | None | 0.0 | 14 | all | -1 | -1 diff --git a/doc/include/keck_nires_A_corrected.pypeit.rst b/doc/include/keck_nires_A_corrected.pypeit.rst index 0b92e2d386..875d3fe917 100644 --- a/doc/include/keck_nires_A_corrected.pypeit.rst +++ b/doc/include/keck_nires_A_corrected.pypeit.rst @@ -2,18 +2,22 @@ # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev118+g6905096d0 # UTC 2023-03-25T04:05:16.591 - + # User-defined execution parameters [rdx] spectrograph = keck_nires - + [reduce] + [[findobj]] + snr_thresh = 5 + maxnumber_std = 2 + # Setup setup read Setup A: dispname: spec setup end - - # Data block + + # Data block data read path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id @@ -28,8 +32,6 @@ s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | none | None | 0.0 | 12 | all | -1 | -1 s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | none | None | 0.0 | 14 | all | -1 | -1 data end - - diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index 7abdf8f6c5..1975b3d69e 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T00:12:28.187 + # UTC 2023-03-31T15:27:32.839 # User-defined execution parameters [rdx] diff --git a/doc/include/spectrographs_table.rst b/doc/include/spectrographs_table.rst index 0a9b195298..2641c6e2ec 100644 --- a/doc/include/spectrographs_table.rst +++ b/doc/include/spectrographs_table.rst @@ -23,7 +23,7 @@ keck_lris_red :class:`~pypeit.spectrographs.keck_lris.KeckLRISRSpect keck_lris_red_mark4 :class:`~pypeit.spectrographs.keck_lris.KeckLRISRMark4Spectrograph` KECK LRISr `Link `__ MultiSlit True True New Mark4 detector, circa Spring 2021; Supported setups = R400 keck_lris_red_orig :class:`~pypeit.spectrographs.keck_lris.KeckLRISROrigSpectrograph` KECK LRISr `Link `__ MultiSlit True True Original detector; replaced in 2009; see :doc:`lris` keck_mosfire :class:`~pypeit.spectrographs.keck_mosfire.KeckMOSFIRESpectrograph` KECK MOSFIRE `Link `__ MultiSlit True False Gratings tested: Y, J, J2, H, K; see :doc:`mosfire` -keck_nires :class:`~pypeit.spectrographs.keck_nires.KeckNIRESSpectrograph` KECK NIRES `Link `__ Echelle True False +keck_nires :class:`~pypeit.spectrographs.keck_nires.KeckNIRESSpectrograph` KECK NIRES `Link `__ Echelle True False see :doc:`keck_nires` keck_nirspec_low :class:`~pypeit.spectrographs.keck_nirspec.KeckNIRSPECLowSpectrograph` KECK NIRSPEC `Link `__ MultiSlit True False Low-dispersion grating lbt_luci1 :class:`~pypeit.spectrographs.lbt_luci.LBTLUCI1Spectrograph` LBT LUCI1 `Link `__ MultiSlit True False lbt_luci2 :class:`~pypeit.spectrographs.lbt_luci.LBTLUCI2Spectrograph` LBT LUCI2 `Link `__ MultiSlit True False diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index b3c29a8184..37c27bf1b0 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -743,20 +743,20 @@ SkySubPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.SkySubPar` -=================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -=================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -``bspline_spacing`` int, float .. 0.6 Break-point spacing for the bspline sky subtraction fits. -``global_sky_std`` bool .. True Global sky subtraction will be performed on standard stars. This should be turned off for example for near-IR reductions with narrow slits, since bright standards can fill the slit causing global sky-subtraction to fail. In these situations we go straight to local sky-subtraction since it is designed to deal with such situations -``joint_fit`` bool .. False Perform a simultaneous joint fit to sky regions using all available slits. Currently, this parameter is only used for IFU data reduction. -``local_maskwidth`` float .. 4.0 Initial width of the region in units of FWHM that will be used for local sky subtraction -``mask_by_boxcar`` bool .. False In global sky evaluation, mask the sky region around the object by the boxcar radius (set in ExtractionPar). -``max_mask_frac`` float .. 0.8 Maximum fraction of total pixels on a slit that can be masked by the input masks. If more than this threshold is masked the code will return zeros and throw a warning. -``no_local_sky`` bool .. False If True, turn off local sky model evaluation, but do fit object profile and perform optimal extraction -``no_poly`` bool .. False Turn off polynomial basis (Legendre) in global sky subtraction -``sky_sigrej`` float .. 3.0 Rejection parameter for local sky subtraction -``user_regions`` str, list .. .. A user-defined sky regions mask can be set using this keyword. To allow the code to identify the sky regions automatically, set this variable to an empty string. If you wish to set the sky regions, The text should be a comma separated list of percentages to apply to _all_ slits For example: The following string :10,35:65,80: would select the first 10%, the inner 30%, and the final 20% of _all_ slits. Alternatively, you can also set the argument to be "master", which will load a MasterSkyRegions file that the user has generated with the pypeit_skysub_regions tool. -=================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +=================== ========== ======= ======= =================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +=================== ========== ======= ======= =================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +``bspline_spacing`` int, float .. 0.6 Break-point spacing for the bspline sky subtraction fits. +``global_sky_std`` bool .. True Global sky subtraction will be performed on standard stars. This should be turned off for example for near-IR reductions with narrow slits, since bright standards can fill the slit causing global sky-subtraction to fail. In these situations we go straight to local sky-subtraction since it is designed to deal with such situations +``joint_fit`` bool .. False Perform a simultaneous joint fit to sky regions using all available slits. Currently, this parameter is only used for IFU data reduction. +``local_maskwidth`` float .. 4.0 Initial width of the region in units of FWHM that will be used for local sky subtraction +``mask_by_boxcar`` bool .. False In global sky evaluation, mask the sky region around the object by the boxcar radius (set in ExtractionPar). +``max_mask_frac`` float .. 0.8 Maximum fraction of total pixels on a slit that can be masked by the input masks. If more than this threshold is masked the code will return zeros and throw a warning. +``no_local_sky`` bool .. False If True, turn off local sky model evaluation, but do fit object profile and perform optimal extraction +``no_poly`` bool .. False Turn off polynomial basis (Legendre) in global sky subtraction +``sky_sigrej`` float .. 3.0 Rejection parameter for local sky subtraction +``user_regions`` str, list .. .. Provides a user-defined mask defining sky regions. By default, the sky regions are identified automatically. To specify sky regions for *all* slits, provide a comma separated list of percentages. For example, setting user_regions = :10,35:65,80: selects the first 10%, the inner 30%, and the final 20% of *all* slits as containing sky. Setting user_regions = user will attempt to load any SkyRegions files generated by the user via the pypeit_skysub_regions tool. +=================== ========== ======= ======= =================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -3274,12 +3274,14 @@ Alterations to the default parameters are: use_pixelflat = False use_illumflat = False [[arcframe]] + exprng = 61, None [[[process]]] use_biasimage = False use_overscan = False use_pixelflat = False use_illumflat = False [[tiltframe]] + exprng = 61, None [[[process]]] use_biasimage = False use_overscan = False From 14d2ab8e3eb75826efda33f1c7daf8404715f44e Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 31 Mar 2023 08:43:59 -0700 Subject: [PATCH 146/308] rm biasframe --- pypeit/biasframe.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 pypeit/biasframe.py diff --git a/pypeit/biasframe.py b/pypeit/biasframe.py deleted file mode 100644 index e69de29bb2..0000000000 From 20078328fdaa42b597d7e40065d800f2573d8d7f Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 31 Mar 2023 09:55:58 -0700 Subject: [PATCH 147/308] test fixes --- pypeit/calibframe.py | 4 +-- pypeit/calibrations.py | 3 --- pypeit/metadata.py | 10 ++++--- pypeit/spectrographs/spectrograph.py | 39 +++++++++++++++------------- 4 files changed, 29 insertions(+), 27 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index d8a3f70fd0..65c8c9825a 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -125,8 +125,8 @@ def copy_calib_internals(self, other): other (:class:`CalibFrame`): Object to copy from. """ - for n in CalibFrame.internals: - setattr(self, n, getattr(other, n)) + for attr in CalibFrame.internals: + setattr(self, attr, getattr(other, attr)) # NOTE: Only need to overload to_file because the only thing special about # CalibFrame is that the paths are pre-defined. diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 55b60e4ecb..3af2879056 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -172,7 +172,6 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, # Attributes self.det = None self.frame = None -# self.binning = None # NEVER USED self.msarc = None self.mstilt = None @@ -262,8 +261,6 @@ def set_config(self, frame, det, par=None): self.det = det if par is not None: self.par = par -# # Deal with binning -# self.binning = self.fitstbl['binning'][self.frame] def get_arc(self): """ diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 993ca168d0..2b8cb2d096 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -178,27 +178,29 @@ def _build(self, files, strict=True, usrdata=None): # Build the table for idx, ifile in enumerate(_files): + _ifile = Path(ifile).resolve() # User data (for frame type) if usrdata is None: usr_row = None else: # TODO: This check should be done elsewhere # Check - if os.path.basename(ifile) != usrdata['filename'][idx]: + if _ifile.name != usrdata['filename'][idx]: msgs.error('File name list does not match user-provided metadata table. See ' 'usrdata argument of instantiation of PypeItMetaData.') usr_row = usrdata[idx] # Add the directory and file name to the table - data['directory'][idx], data['filename'][idx] = os.path.split(ifile) + data['directory'][idx] = str(_ifile.parent) + data['filename'][idx] = _ifile.name if not data['directory'][idx]: data['directory'][idx] = '.' # Read the fits headers. NOTE: If the file cannot be opened, # headarr will be None, and the subsequent loop over the meta keys # will fill the data dictionary with None values. - msgs.info('Adding metadata for {0}'.format(os.path.split(ifile)[1])) - headarr = self.spectrograph.get_headarr(ifile, strict=strict) + msgs.info(f'Adding metadata for {data["filename"][idx]}') + headarr = self.spectrograph.get_headarr(_ifile, strict=strict) # Grab Meta for meta_key in self.spectrograph.meta.keys(): diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 56fca2aaef..6f7e755b72 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -27,12 +27,14 @@ """ from abc import ABCMeta +from pathlib import Path import os from configobj import ConfigObj from IPython import embed import numpy as np +from astropy.io import fits from pypeit import msgs from pypeit import utils @@ -44,7 +46,6 @@ from pypeit.par import pypeitpar from pypeit.images.detector_container import DetectorContainer from pypeit.images.mosaic import Mosaic -from astropy.io.fits import Header # TODO: Create an EchelleSpectrograph derived class that holds all of @@ -261,15 +262,15 @@ def _check_extensions(self, filename): Check if this filename has an allowed extension Args: - filename (:obj:`str`): + filename (:obj:`str`, `Path`_): Input raw fits filename """ if self.allowed_extensions is not None: - if os.path.splitext(filename)[1] not in self.allowed_extensions: - msgs.error("The input filename:"+msgs.newline()+ - filename+msgs.newline()+ - f"has the wrong extension. The allowed extensions for {self.name} include:"+msgs.newline()+ - ",".join(self.allowed_extensions)) + _filename = Path(filename).resolve() + if _filename.suffix not in self.allowed_extensions: + msgs.error(f'The input file ({_filename.name}) does not have a recognized ' + f'extension ({_filename.suffix}). The allowed extensions for ' + f'{self.name} include {",".join(self.allowed_extensions)}.') def _check_telescope(self): """Check the derived class has properly defined the telescope.""" @@ -1043,7 +1044,7 @@ def get_rawimage(self, raw_file, det): Parameters ---------- - raw_file : :obj:`str` + raw_file : :obj:`str`, `Path`_ File to read det : :obj:`int`, :obj:`tuple` 1-indexed detector(s) to read. An image mosaic is selected using a @@ -1231,11 +1232,11 @@ def get_meta_value(self, inp, meta_key, required=False, Returns: Value recovered for (each) keyword. Can be None. """ - if isinstance(inp, str): + if isinstance(inp, (str, Path)): headarr = self.get_headarr(inp) elif inp is None or isinstance(inp, list): headarr = inp - elif isinstance(inp, Header): + elif isinstance(inp, fits.Header): headarr = [inp] else: msgs.error('Unrecognized type for input') @@ -1458,7 +1459,7 @@ def get_headarr(self, inp, strict=True): Read the header data from all the extensions in the file. Args: - inp (:obj:`str`, `astropy.io.fits.HDUList`_): + inp (:obj:`str`, `Path`_, `astropy.io.fits.HDUList`_): Name of the file to read or the previously opened HDU list. If None, the function will simply return None. strict (:obj:`bool`, optional): @@ -1477,20 +1478,22 @@ def get_headarr(self, inp, strict=True): # Faster to open the whole file and then assign the headers, # particularly for gzipped files (e.g., DEIMOS) - if isinstance(inp, str): + if isinstance(inp, (str, Path)): self._check_extensions(inp) try: hdu = io.fits_open(inp) except: if strict: - msgs.error('Problem opening {0}.'.format(inp)) + msgs.error(f'Cannot open {inp}.') else: - msgs.warn('Problem opening {0}.'.format(inp) + msgs.newline() - + 'Proceeding, but should consider removing this file!') - return None #['None']*999 # self.numhead - else: + msgs.warn(f'Cannot open {inp}. Proceeding, but consider removing this file!') + return None + elif isinstance(inp, (list, fits.HDUList)): + # TODO: If a list, check that the list elements are HDUs? hdu = inp - return [hdu[k].header for k in range(len(hdu))] + else: + msgs.error(f'Input to get_headarr has incorrect type: {type(inp)}.') + return [h.header for h in hdu] def check_frame_type(self, ftype, fitstbl, exprng=None): """ From fc849a3d1ffa24fd8163fe65fa6ae9fa945ee735 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 31 Mar 2023 09:58:39 -0700 Subject: [PATCH 148/308] CHANGES --- CHANGES.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/CHANGES.rst b/CHANGES.rst index 9db80f3371..e0f17ba47a 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -7,6 +7,8 @@ - Calibration group numbers can now be anything, as long as there are no more than 63 unique integers. - Removed use of the term "master", renamed to calibration frames/files. + Default output directory for calibration frames is now ``Calibrations``. + Calibration frames renamed; e.g., ``MasterArc`` is now ``Arc``. - Calibration frame naming now done via ``calibframe.CalibFrame`` class. - Start to deprecate use of ``os.path`` in favor of ``pathlib`` - Deprecated ``pypeit_parse_calib_id`` script, but improved the ``.calib`` file From a895f8f5833668982ded1c4119bb052f8856f573 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 1 Apr 2023 16:53:29 +0100 Subject: [PATCH 149/308] clean up --- pypeit/flatfield.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index b8fd0eb13c..2887cf05a8 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1362,6 +1362,8 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp doqa : :obj:`bool`, optional: Save the QA? """ + # TODO :: Include fit_order in the parset?? + fit_order = np.array([3, 6]) msgs.info("Performing a fine correction to the spatial illumination (slit={0:d})".format(slit_spat)) # initialise illumflat_finecorr = np.ones_like(self.rawflatimg.image) @@ -1379,7 +1381,8 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Prepare fitting coordinates wgud = np.where(onslit_tweak & self.rawflatimg.select_flag(invert=True)) cut = (wgud[0], wgud[1]) - ypos = cut[0] / (self.slits.nspec - 1) + thiswave = self.waveimg[cut] + ypos = (thiswave - thiswave.min()) / (thiswave.max() - thiswave.min()) xpos_img = self.slits.spatial_coordinate_image(slitidx=slit_idx, initial=True, slitid_img=slitimg, @@ -1405,7 +1408,7 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp if xfrac * slitlen < 3: xfrac = 3/slitlen gpmfit[np.where((xpos < xfrac) | (xpos > 1-xfrac))] = False - fullfit = fitting.robust_fit(xpos, normed[cut], np.array([3, 6]), x2=ypos, weights=normed[cut], + fullfit = fitting.robust_fit(xpos, normed[cut], fit_order, x2=ypos, in_gpm=gpmfit, function='legendre2d', upper=2, lower=2, maxdev=1.0, minx=0.0, maxx=1.0, minx2=0.0, maxx2=1.0) @@ -1419,7 +1422,10 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp # Prepare QA if doqa: - outfile = qa.set_qa_filename("Spatillum_FineCorr_"+self.master_key, 'spatillum_finecorr', slit=slit_spat, + prefix = "Spatillum_FineCorr_" + if self.spat_illum_only: + prefix += "illumflat_" + outfile = qa.set_qa_filename(prefix+self.master_key, 'spatillum_finecorr', slit=slit_spat, out_dir=self.qa_path) title = "Fine correction to spatial illumination (slit={0:d})".format(slit_spat) normed[np.logical_not(onslit_tweak)] = 1 # For the QA, make everything off the slit equal to 1 @@ -1808,7 +1814,7 @@ def illum_profile_spectral(rawimg, waveimg, slits, slit_illum_ref_idx=0, smooth_ sn_smooth_npix = wave_ref.size // smooth_npix if (smooth_npix is not None) else wave_ref.size // 10 # Iterate until convergence - maxiter = 10 + maxiter = 5 lo_prev, hi_prev = 1.0E-32, 1.0E32 for rr in range(maxiter): # Reset the relative scaling for this iteration From 9f7860bb78ba0a132cadab45e047f54b1608c37f Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 1 Apr 2023 16:53:39 +0100 Subject: [PATCH 150/308] embed --- pypeit/flatfield.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 2887cf05a8..19334f68ad 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1363,6 +1363,8 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp Save the QA? """ # TODO :: Include fit_order in the parset?? + if slit_idx==0 and self.spat_illum_only: + embed() fit_order = np.array([3, 6]) msgs.info("Performing a fine correction to the spatial illumination (slit={0:d})".format(slit_spat)) # initialise From 3602c1328d5a80392d81e169ae575c4f74bf1ae2 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 1 Apr 2023 21:07:39 +0100 Subject: [PATCH 151/308] spec/spat subsample --- pypeit/coadd2d.py | 2 +- pypeit/par/pypeitpar.py | 35 ++++++++++++++++++++++++----------- 2 files changed, 25 insertions(+), 12 deletions(-) diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index fbde3d3eb0..e2160603d1 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -102,7 +102,7 @@ def __init__(self, spec2d, spectrograph, par, det=1, offsets=None, weights='auto is not allowed if offsets are input. spec_samp_fact (:obj:`float`, optional): Make the wavelength grid sampling finer (``spec_samp_fact`` less - than 1.0) or coarser (``spec_samp_fact`` greather than 1.0) by + than 1.0) or coarser (``spec_samp_fact`` greater than 1.0) by this sampling factor. This basically multiples the 'native' spectral pixel size by ``spec_samp_fact``, i.e. the units of ``spec_samp_fact`` are pixels. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 5fcdb8986a..27f296a8d6 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1323,7 +1323,7 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f standard_cube=None, reference_image=None, save_whitelight=None, method=None, ra_min=None, ra_max=None, dec_min=None, dec_max=None, wave_min=None, wave_max=None, spatial_delta=None, wave_delta=None, astrometric=None, grating_corr=None, scale_corr=None, - skysub_frame=None, subsample=None): + skysub_frame=None, spec_subsample=None, spat_subsample=None): # Grab the parameter names and values from the function # arguments @@ -1394,22 +1394,35 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f '(1) "subsample" (default) - this algorithm subsamples each pixel in the spec2d frames ' \ 'and assigns each subpixel into a voxel of the datacube. Flux is conserved, but voxels ' \ 'are correlated, and the error spectrum does not account for covariance between adjacent ' \ - 'voxels. ' \ + 'voxels. See also, spec_subsample and spat_subsample.' \ '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ 'conserved, voxels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ 'takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the ' \ 'datacube. Depending on the binning used, some voxels may be empty (zero flux) while a ' \ - 'neighbouring voxel might contain the flux from two spec2d pixels.' + 'neighboring voxel might contain the flux from two spec2d pixels. Note that all spec2d ' \ + 'pixels that contribute to the same voxel are inverse variance weighted (e.g. if two ' \ + 'pixels have the same variance, the voxel would be assigned the average flux of the two ' \ + 'pixels).' # '(3) "resample" - this algorithm resamples the spec2d frames into a datacube. ' \ # 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ # 'for covariance between neighbouring pixels. ' \ - defaults['subsample'] = 10 - dtypes['subsample'] = int - descr['subsample'] = 'Subpixellation scale of each pixel when method=subsample. The total number of ' \ - 'subpixels in each pixel is given by subsample^2. The default option is to divide ' \ - 'each spec2d pixel into 100 subpixels during datacube creation.' + defaults['spec_subsample'] = 10 + dtypes['spec_subsample'] = int + descr['spec_subsample'] = 'When method=subsample, spec_subsample sets the subpixellation scale of ' \ + 'each detector pixel in the spectral direction. The total number of subpixels ' \ + 'in each pixel is given by spec_subsample x spat_subsample. The default option ' \ + 'is to divide each spec2d pixel into 100 subpixels during datacube creation. ' \ + 'See also, spat_subsample.' + + defaults['spat_subsample'] = 10 + dtypes['spat_subsample'] = int + descr['spat_subsample'] = 'When method=subsample, spat_subsample sets the subpixellation scale of ' \ + 'each detector pixel in the spatial direction. The total number of subpixels ' \ + 'in each pixel is given by spec_subsample x spat_subsample. The default option ' \ + 'is to divide each spec2d pixel into 100 subpixels during datacube creation. ' \ + 'See also, spec_subsample.' defaults['ra_min'] = None dtypes['ra_min'] = float @@ -1496,9 +1509,9 @@ def from_dict(cls, cfg): # Basic keywords parkeys = ['slit_spec', 'output_filename', 'standard_cube', 'reference_image', 'save_whitelight', - 'method', 'subsample', 'ra_min', 'ra_max', 'dec_min', 'dec_max', 'wave_min', 'wave_max', - 'spatial_delta', 'wave_delta', 'relative_weights', 'combine', 'astrometric', 'grating_corr', - 'scale_corr', 'skysub_frame'] + 'method', 'spec_subsample', 'spat_subsample', 'ra_min', 'ra_max', 'dec_min', 'dec_max', + 'wave_min', 'wave_max', 'spatial_delta', 'wave_delta', 'relative_weights', 'combine', + 'astrometric', 'grating_corr', 'scale_corr', 'skysub_frame'] badkeys = np.array([pk not in parkeys for pk in k]) if np.any(badkeys): From 1ed79cef257b9f97af50875c36a326d3e321aa8e Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 1 Apr 2023 21:07:48 +0100 Subject: [PATCH 152/308] deprecated resample --- pypeit/deprecated/datacube.py | 216 ++++++++++++++++++++++++++++++++++ 1 file changed, 216 insertions(+) create mode 100644 pypeit/deprecated/datacube.py diff --git a/pypeit/deprecated/datacube.py b/pypeit/deprecated/datacube.py new file mode 100644 index 0000000000..5fd01e07b6 --- /dev/null +++ b/pypeit/deprecated/datacube.py @@ -0,0 +1,216 @@ +# Shapely is needed if using the resample algorithm +try: + import shapely +except ImportError: + shapely = None + + +def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, gpm, + grid_nspat=5, grid_specsep=20, + overwrite=False, output_wcs=None, blaze_wave=None, blaze_spec=None, fluxcal=False, + sensfunc=None, specname=None, debug=False): + """ + Save a datacube using the resample algorithm. + + This function takes the fully calibrated input data, and resamples + all slices onto a regular 3D grid, while conserving flux. Note that + the final datacube has correlations between voxels, and this covariance + information is not saved. + + Args: + outfile (`str`): + Filename to be used to save the datacube + frame_wcs (`astropy.wcs.wcs.WCS`_): + World coordinate system for this frame. + slits (:class:`pypeit.slittrace.SlitTraceSet`_) + Information stored about the slits + fluximg (`numpy.ndarray`_): + Surface brightness of each pixel in the frame (units = erg/s/cm^2/A/arcsec^2) + ivarimg (`numpy.ndarray`_): + Inverse variance of each pixel in the frame + raimg (`numpy.ndarray`_): + Right ascension of each pixel in the frame (units = decimal degrees) + decimg (`numpy.ndarray`_): + Declination of each pixel in the frame (units = decimal degrees) + waveimg (`numpy.ndarray`_): + Wavelength of each pixel in the frame (units = Angstroms) + slitimg (`numpy.ndarray`_): + Slit image. -1 is not on a slit, and all other + pixels are labelled with their spatial IDs. + gpm (`numpy.ndarray`_): + Good pixel mask (bool). True = good pixel + grid_nspat (int, optional): + Number of grid points in the spatial direction when evaluating the + voxel geometry in detector coordinates. This should be an odd number + grid_specsep (int, optional): + Number of pixels between each grid point in the spectral direction + when evaluating the voxel geometry in detector coordinates + overwrite (bool, optional): + If the output file exists, it will be overwritten if this parameter is True. + output_wcs (`astropy.wcs.wcs.WCS`_, optional): + World coordinate system for the output datacube. If None, frame_wcs will be used. + blaze_wave (`numpy.ndarray`_, optional): + Wavelength array of the spectral blaze function + blaze_spec (`numpy.ndarray`_, optional): + Spectral blaze function + fluxcal (bool, optional): + Are the data flux calibrated? If True, the units are: erg/s/cm^2/Angstrom/arcsec^2 + multiplied by the PYPEIT_FLUX_SCALE. Otherwise, the units are: counts/s/Angstrom/arcsec^2") + sensfunc (`numpy.ndarray`_, None, optional): + Sensitivity function that has been applied to the datacube + specname (str, None, optional): + Name of the spectrograph + debug (bool, optional): + Debug the code by writing out a residuals cube? + """ + # Set the output_wcs if it's not already set + if output_wcs is None: + output_wcs = frame_wcs + # Check that grid_nspat is an odd number + if grid_nspat % 2 == 0: + msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") + grid_nspat += 1 + debug = False + # Get the grid spacing along the spatial direction + frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) + out_cd_spat = np.sqrt(output_wcs.wcs.cd[1, 1] ** 2 + output_wcs.wcs.cd[0, 1] ** 2) + slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) + nvox_spat = int(np.ceil(slitlength*frm_cd_spat/out_cd_spat)) + crd_vox_spat = out_cd_spat * (np.arange(nvox_spat+1) - (nvox_spat+1)// 2) # +1 to get bin edges + # Get the grid spacing along the spectral direction + out_cr_wave = output_wcs.wcs.crval[2] + out_cd_wave = output_wcs.wcs.cd[2, 2] + nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) + crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges + vox_shape = (nvox_wave+1, nvox_spat+1) + + # Detector spectal/spatial pixels and number of slices + nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size + + # Generate the output datacube + datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) + varcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) + + # Transform the voxel geometry to detector pixels + grid_nspec = 1 + nspec // grid_specsep + xgrid = np.zeros((grid_nspec, grid_nspat), dtype=int) + ygridt = np.zeros(grid_nspec, dtype=int) + ygridt[-1] = nspec - 1 + ygridt[1:-1] = (nspec % grid_specsep + 2 * grid_specsep) // 2 + np.arange(grid_nspec - 2) * grid_specsep + ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) + ra0, dec0 = np.zeros(nslice), np.zeros(nslice) + offsimg = np.zeros_like(waveimg) + varimgsq = utils.inverse(ivarimg ** 2) + for sl, spat_id in enumerate(slits.spat_id): + msgs.info(f"Calculating voxel geometry for slit {spat_id}") + # Calculate RA and Dec of central traces + wsl = np.where(slitimg == spat_id) + this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] + _, spat_posn, _ = frame_wcs.wcs_world2pix(this_ra, this_dec, this_wave*1.0E-10, 0) + asrt = np.argsort(spat_posn) + ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) + dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) + # Generate the offsets + cosdec = np.cos(dec0[sl] * np.pi / 180.0) + diff_ra, diff_dec = (this_ra - ra0[sl]) * cosdec, this_dec - dec0[sl] + msgs.bug("There is sometimes a sign error that needs to be resolved here...") + msgs.error("Use another algorithm for the time being...") + if np.max(diff_ra)-np.min(diff_ra) > np.max(diff_dec)-np.min(diff_dec): + sgn = np.sign(diff_ra) + else: + sgn = np.sign(diff_dec) + offsimg[wsl] = -sgn * np.sqrt(diff_ra**2 + diff_dec**2) + # Update the xgrid values for this slice + for yy in range(grid_nspec): + wsl = np.where(slitimg == spat_id) + allind = wsl[1][np.where(wsl[0] == ygridt[yy])] + xgrid[yy, 0] = np.min(allind) + xgrid[yy, -1] = np.max(allind) + numpix = xgrid[yy, -1] - xgrid[yy, 0] + sep = numpix // (grid_nspat - 1) + xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(grid_nspat - 2) * sep + # Extract offset + wavelength information and estimate transform + grid_coord = (ygrid.flatten(), xgrid.flatten()) + grid_offs = offsimg[grid_coord] + grid_wave = waveimg[grid_coord] + src = np.column_stack((grid_wave, grid_offs)) + dst = np.column_stack(grid_coord).astype(float) + # Transform the voxel coordinates to detector coordinates + evalpos = np.column_stack((crd_vox_spec[:,np.newaxis].repeat(crd_vox_spat.size, axis=1).flatten(), + crd_vox_spat[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) + # tform = LinearNDInterpolator(src, dst, rescale=True) + # crd_det_tmp = tform(evalpos) + + src_off = np.min(src, axis=0) + src_scl = np.max(src-src_off, axis=0) + dst_off = np.min(dst, axis=0) + dst_scl = np.max(dst-dst_off, axis=0) + tform = RBFInterpolator((src-src_off)/src_scl, (dst-dst_off)/dst_scl, smoothing=0.01) + crd_det = dst_off + dst_scl * tform((evalpos-src_off)/src_scl) + if debug: + plt.plot(crd_det[:, 0], crd_det[:, 1], 'rx') + #plt.plot(crd_det_tmp[:, 0], crd_det_tmp[:, 1], 'bx') + plt.plot(np.arange(slits.left_init.shape[0]), slits.left_init[:, 0], 'k-') + plt.plot(np.arange(slits.right_init.shape[0]), slits.right_init[:, 0], 'k-') + plt.show() + + # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) + # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. + # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. + # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) + # Use the WCS (which contains the astrometric transform) to go from world to pix + # i.e. need to invert this: + # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) + # This gives us the x,y detector positions of the voxel geometry + from shapely.geometry import Polygon, box as shapelyBox + from shapely.strtree import STRtree + + crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) + # Generate a list of all detector pixels in this slice + detpix_polys = [] + pix_spec, pix_spat = np.where(slitimg == spat_id) + for ss in range(pix_spat.size): + detpix_polys.append(shapely.geometry.box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) + # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels + detgeom = shapely.strtree.STRtree(detpix_polys) + # Loop through all voxels for this slice and calculate the overlapping area + for wv in range(nvox_wave): + for sp in range(nvox_spat): + # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) + voxel_geom = shapely.geometry.Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), + (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), + (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), + (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), + (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) + # Find overlapping detector pixels + result = detgeom.query(voxel_geom) + # Sum all overlapping flux-weighted areas + this_flx = 0 + this_var = 0 + this_area = 0 + for pp in range(len(result)): + area = voxel_geom.intersection(result[pp]).area + pix_spat = int(min(result[pp].exterior.coords[0][0], result[pp].exterior.coords[2][0])) + pix_spec = int(min(result[pp].exterior.coords[0][1], result[pp].exterior.coords[2][1])) + if ivarimg[pix_spec, pix_spat] != 0.0: + this_flx += area * fluximg[pix_spec, pix_spat] + this_var += area**2 * varimgsq[pix_spec, pix_spat] + this_area += area + # Fill in the datacube + this_area = 1 if this_area == 0 else this_area + datcube[sl, sp, wv] = this_flx / this_area + varcube[sl, sp, wv] = this_var / this_area**2 + + # Generate a header + hdr = output_wcs.to_header() + + # Add the unit of flux to the header + if fluxcal: + hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") + else: + hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") + + # Save the final datacube + msgs.info("Saving datacube as: {0:s}".format(outfile)) + final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) From 8a039b3719dc35110e82db6216a7d772f5570f5e Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 1 Apr 2023 21:08:11 +0100 Subject: [PATCH 153/308] spec/spat subsample --- pypeit/core/datacube.py | 274 ++++++---------------------------------- 1 file changed, 36 insertions(+), 238 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 09411fa3f4..85e1e40a1d 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -24,12 +24,6 @@ from pypeit.core.procimg import grow_mask from pypeit.spectrographs.util import load_spectrograph -# Shapely is needed if using the resample algorithm -# try: -# import shapely -# except ImportError: -# shapely = None - from IPython import embed @@ -198,7 +192,7 @@ def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pre chi-squared difference between datfit and model """ (diff_ra, diff_dec) = radec - # Generate the coordinate with atmopheric conditions + # Generate the coordinate with atmospheric conditions coord_atmo = SkyCoord(coord_ra + diff_ra, coord_dec + diff_dec, unit=(units.deg, units.deg)) coord_altaz = coord_atmo.transform_to(AltAz(obstime=obstime, location=location, obswl=wave, pressure=pressure, temperature=temperature, @@ -479,7 +473,7 @@ def extract_standard_spec(stdcube, subsample=20, method='boxcar'): std_cube (`astropy.io.fits.HDUList`_): An HDU list of fits files subsample (int): - Number of pixels to subpixellate spectrum when creating mask + Number of pixels to subpixelate spectrum when creating mask method (str): Method used to extract standard star spectrum. Currently, only 'boxcar' is supported @@ -995,220 +989,9 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -# def generate_cube_resample(outfile, frame_wcs, slits, fluximg, ivarimg, raimg, decimg, waveimg, slitimg, gpm, -# grid_nspat=5, grid_specsep=20, -# overwrite=False, output_wcs=None, blaze_wave=None, blaze_spec=None, fluxcal=False, -# sensfunc=None, specname=None, debug=False): -# """ -# Save a datacube using the resample algorithm. -# -# This function takes the fully calibrated input data, and resamples -# all slices onto a regular 3D grid, while conserving flux. Note that -# the final datacube has correlations between voxels, and this covariance -# information is not saved. -# -# Args: -# outfile (`str`): -# Filename to be used to save the datacube -# frame_wcs (`astropy.wcs.wcs.WCS`_): -# World coordinate system for this frame. -# slits (:class:`pypeit.slittrace.SlitTraceSet`_) -# Information stored about the slits -# fluximg (`numpy.ndarray`_): -# Surface brightness of each pixel in the frame (units = erg/s/cm^2/A/arcsec^2) -# ivarimg (`numpy.ndarray`_): -# Inverse variance of each pixel in the frame -# raimg (`numpy.ndarray`_): -# Right ascension of each pixel in the frame (units = decimal degrees) -# decimg (`numpy.ndarray`_): -# Declination of each pixel in the frame (units = decimal degrees) -# waveimg (`numpy.ndarray`_): -# Wavelength of each pixel in the frame (units = Angstroms) -# slitimg (`numpy.ndarray`_): -# Slit image. -1 is not on a slit, and all other -# pixels are labelled with their spatial IDs. -# gpm (`numpy.ndarray`_): -# Good pixel mask (bool). True = good pixel -# grid_nspat (int, optional): -# Number of grid points in the spatial direction when evaluating the -# voxel geometry in detector coordinates. This should be an odd number -# grid_specsep (int, optional): -# Number of pixels between each grid point in the spectral direction -# when evaluating the voxel geometry in detector coordinates -# overwrite (bool, optional): -# If the output file exists, it will be overwritten if this parameter is True. -# output_wcs (`astropy.wcs.wcs.WCS`_, optional): -# World coordinate system for the output datacube. If None, frame_wcs will be used. -# blaze_wave (`numpy.ndarray`_, optional): -# Wavelength array of the spectral blaze function -# blaze_spec (`numpy.ndarray`_, optional): -# Spectral blaze function -# fluxcal (bool, optional): -# Are the data flux calibrated? If True, the units are: erg/s/cm^2/Angstrom/arcsec^2 -# multiplied by the PYPEIT_FLUX_SCALE. Otherwise, the units are: counts/s/Angstrom/arcsec^2") -# sensfunc (`numpy.ndarray`_, None, optional): -# Sensitivity function that has been applied to the datacube -# specname (str, None, optional): -# Name of the spectrograph -# debug (bool, optional): -# Debug the code by writing out a residuals cube? -# """ -# # Set the output_wcs if it's not already set -# if output_wcs is None: -# output_wcs = frame_wcs -# # Check that grid_nspat is an odd number -# if grid_nspat % 2 == 0: -# msgs.warn(f"grid_nspat must be an odd number. Using grid_nspat={grid_nspat+1} instead") -# grid_nspat += 1 -# debug = False -# # Get the grid spacing along the spatial direction -# frm_cd_spat = np.sqrt(frame_wcs.wcs.cd[1, 1] ** 2 + frame_wcs.wcs.cd[0, 1] ** 2) -# out_cd_spat = np.sqrt(output_wcs.wcs.cd[1, 1] ** 2 + output_wcs.wcs.cd[0, 1] ** 2) -# slitlength = int(np.round(np.median(slits.get_slitlengths(initial=True, median=True)))) -# nvox_spat = int(np.ceil(slitlength*frm_cd_spat/out_cd_spat)) -# crd_vox_spat = out_cd_spat * (np.arange(nvox_spat+1) - (nvox_spat+1)// 2) # +1 to get bin edges -# # Get the grid spacing along the spectral direction -# out_cr_wave = output_wcs.wcs.crval[2] -# out_cd_wave = output_wcs.wcs.cd[2, 2] -# nvox_wave = int(np.ceil((np.max(waveimg)-out_cr_wave)/out_cd_wave)) -# crd_vox_spec = out_cr_wave + out_cd_wave * np.arange(nvox_wave+1) # +1 to get bin edges -# vox_shape = (nvox_wave+1, nvox_spat+1) -# -# # Detector spectal/spatial pixels and number of slices -# nspec, nspat, nslice = slits.nspec, slits.nspat, slits.spat_id.size -# -# # Generate the output datacube -# datcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) -# varcube = np.zeros((nslice, nvox_spat, nvox_wave), dtype=float) -# -# # Transform the voxel geometry to detector pixels -# grid_nspec = 1 + nspec // grid_specsep -# xgrid = np.zeros((grid_nspec, grid_nspat), dtype=int) -# ygridt = np.zeros(grid_nspec, dtype=int) -# ygridt[-1] = nspec - 1 -# ygridt[1:-1] = (nspec % grid_specsep + 2 * grid_specsep) // 2 + np.arange(grid_nspec - 2) * grid_specsep -# ygrid = ygridt[:, np.newaxis].repeat(grid_nspat, axis=1) -# ra0, dec0 = np.zeros(nslice), np.zeros(nslice) -# offsimg = np.zeros_like(waveimg) -# varimgsq = utils.inverse(ivarimg ** 2) -# for sl, spat_id in enumerate(slits.spat_id): -# msgs.info(f"Calculating voxel geometry for slit {spat_id}") -# # Calculate RA and Dec of central traces -# wsl = np.where(slitimg == spat_id) -# this_ra, this_dec, this_wave = raimg[wsl], decimg[wsl], waveimg[wsl] -# _, spat_posn, _ = frame_wcs.wcs_world2pix(this_ra, this_dec, this_wave*1.0E-10, 0) -# asrt = np.argsort(spat_posn) -# ra0[sl] = np.interp(0.0, spat_posn[asrt], this_ra[asrt]) -# dec0[sl] = np.interp(0.0, spat_posn[asrt], this_dec[asrt]) -# # Generate the offsets -# cosdec = np.cos(dec0[sl] * np.pi / 180.0) -# diff_ra, diff_dec = (this_ra - ra0[sl]) * cosdec, this_dec - dec0[sl] -# msgs.bug("There is sometimes a sign error that needs to be resolved here...") -# msgs.error("Use another algorithm for the time being...") -# if np.max(diff_ra)-np.min(diff_ra) > np.max(diff_dec)-np.min(diff_dec): -# sgn = np.sign(diff_ra) -# else: -# sgn = np.sign(diff_dec) -# offsimg[wsl] = -sgn * np.sqrt(diff_ra**2 + diff_dec**2) -# # Update the xgrid values for this slice -# for yy in range(grid_nspec): -# wsl = np.where(slitimg == spat_id) -# allind = wsl[1][np.where(wsl[0] == ygridt[yy])] -# xgrid[yy, 0] = np.min(allind) -# xgrid[yy, -1] = np.max(allind) -# numpix = xgrid[yy, -1] - xgrid[yy, 0] -# sep = numpix // (grid_nspat - 1) -# xgrid[yy, 1:-1] = xgrid[yy, 0] + (numpix % sep + 2 * sep) // 2 + np.arange(grid_nspat - 2) * sep -# # Extract offset + wavelength information and estimate transform -# grid_coord = (ygrid.flatten(), xgrid.flatten()) -# grid_offs = offsimg[grid_coord] -# grid_wave = waveimg[grid_coord] -# src = np.column_stack((grid_wave, grid_offs)) -# dst = np.column_stack(grid_coord).astype(float) -# # Transform the voxel coordinates to detector coordinates -# evalpos = np.column_stack((crd_vox_spec[:,np.newaxis].repeat(crd_vox_spat.size, axis=1).flatten(), -# crd_vox_spat[np.newaxis,:].repeat(crd_vox_spec.size, axis=0).flatten())) -# # tform = LinearNDInterpolator(src, dst, rescale=True) -# # crd_det_tmp = tform(evalpos) -# -# src_off = np.min(src, axis=0) -# src_scl = np.max(src-src_off, axis=0) -# dst_off = np.min(dst, axis=0) -# dst_scl = np.max(dst-dst_off, axis=0) -# tform = RBFInterpolator((src-src_off)/src_scl, (dst-dst_off)/dst_scl, smoothing=0.01) -# crd_det = dst_off + dst_scl * tform((evalpos-src_off)/src_scl) -# if debug: -# plt.plot(crd_det[:, 0], crd_det[:, 1], 'rx') -# #plt.plot(crd_det_tmp[:, 0], crd_det_tmp[:, 1], 'bx') -# plt.plot(np.arange(slits.left_init.shape[0]), slits.left_init[:, 0], 'k-') -# plt.plot(np.arange(slits.right_init.shape[0]), slits.right_init[:, 0], 'k-') -# plt.show() -# -# # Calculate an "offsets" image, which indicates the offset in arcsec from (RA_0, DEC_0) -# # Create two splines of the offsets image: (1) offset predicts RA; (2) offset predicts Dec. -# # Use these splines to calculate the RA and DEC of the voxels, combine this with the output wavelength grid. -# # Generate all RA, DEC, WAVELENGTH triples (i.e. find the RA,DEC pairs along constant wavelength, for all wavelengths) -# # Use the WCS (which contains the astrometric transform) to go from world to pix -# # i.e. need to invert this: -# # world_ra, world_dec, _ = wcs.wcs_pix2world(slitID, evalpos, tilts[onslit_init]*(nspec-1), 0) -# # This gives us the x,y detector positions of the voxel geometry -# from shapely.geometry import Polygon, box as shapelyBox -# from shapely.strtree import STRtree -# -# crd_det_spec, crd_det_spat = crd_det[:, 0].reshape(vox_shape), crd_det[:, 1].reshape(vox_shape) -# # Generate a list of all detector pixels in this slice -# detpix_polys = [] -# pix_spec, pix_spat = np.where(slitimg == spat_id) -# for ss in range(pix_spat.size): -# detpix_polys.append(shapely.geometry.box(pix_spat[ss], pix_spec[ss], pix_spat[ss]+1, pix_spec[ss]+1)) -# # Create a Sort-Tile-Recursive tree of the detector pixels to quickly query overlapping voxels -# detgeom = shapely.strtree.STRtree(detpix_polys) -# # Loop through all voxels for this slice and calculate the overlapping area -# for wv in range(nvox_wave): -# for sp in range(nvox_spat): -# # Generate the voxel coordinates in detector pixel space (points must be counter-clockwise) -# voxel_geom = shapely.geometry.Polygon([(crd_det_spat[wv, sp], crd_det_spec[wv, sp]), -# (crd_det_spat[wv, sp+1], crd_det_spec[wv, sp]), -# (crd_det_spat[wv, sp+1], crd_det_spec[wv+1, sp]), -# (crd_det_spat[wv, sp], crd_det_spec[wv+1, sp]), -# (crd_det_spat[wv, sp], crd_det_spec[wv, sp])]) -# # Find overlapping detector pixels -# result = detgeom.query(voxel_geom) -# # Sum all overlapping flux-weighted areas -# this_flx = 0 -# this_var = 0 -# this_area = 0 -# for pp in range(len(result)): -# area = voxel_geom.intersection(result[pp]).area -# pix_spat = int(min(result[pp].exterior.coords[0][0], result[pp].exterior.coords[2][0])) -# pix_spec = int(min(result[pp].exterior.coords[0][1], result[pp].exterior.coords[2][1])) -# if ivarimg[pix_spec, pix_spat] != 0.0: -# this_flx += area * fluximg[pix_spec, pix_spat] -# this_var += area**2 * varimgsq[pix_spec, pix_spat] -# this_area += area -# # Fill in the datacube -# this_area = 1 if this_area == 0 else this_area -# datcube[sl, sp, wv] = this_flx / this_area -# varcube[sl, sp, wv] = this_var / this_area**2 -# -# # Generate a header -# hdr = output_wcs.to_header() -# -# # Add the unit of flux to the header -# if fluxcal: -# hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") -# else: -# hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") -# -# # Save the final datacube -# msgs.info("Saving datacube as: {0:s}".format(outfile)) -# final_cube = DataCube(datcube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) -# final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) - - def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, - astrom_trans, bins, subsample=10, overwrite=False, blaze_wave=None, blaze_spec=None, - fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): + astrom_trans, bins, spec_subsample=10, spat_subsample=10, overwrite=False, blaze_wave=None, + blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ Save a datacube using the subsample algorithm. This algorithm splits each detector pixel into multiple subpixels, and then assigns each @@ -1216,6 +999,11 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a pixel is subsampled by 10^2=100 subpixels. When subsample=1, this corresponds to the nearest grid point (NGP) algorithm. + Important Note: If subsample > 1, the errors are correlated, and the + covariance is not being tracked, so the errors will not be (quite) right. + There is a tradeoff one has to make between sampling and better looking + cubes, versus no sampling and better behaved errors. + Args: outfile (`str`): Filename to be used to save the datacube @@ -1240,10 +1028,14 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a A Class containing the transformation between detector pixel coordinates and WCS pixel coordinates bins (tuple): A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates - subsample (`int`, optional): - What is the subsampling factor. Higher values give more reliable results, but note - that the time required goes as N^2. The default value is 10, which subsamples each detector pixel into - 100 subpixels (i.e. 10^2). + spec_subsample (`int`, optional): + What is the subsampling factor in the spectral direction. Higher values give more reliable results, but note + that the time required goes as (spec_subsample * spat_subsample). The default value is 10, which subsamples + each detector pixel into 10 subpixels in the spectral direction. + spat_subsample (`int`, optional): + What is the subsampling factor in the spatial direction. Higher values give more reliable results, but note + that the time required goes as (spec_subsample * spat_subsample). The default value is 10, which subsamples + each detector pixel into 10 subpixels in the spatial direction. overwrite (`bool`, optional): If True, the output cube will be overwritten. blaze_wave (`numpy.ndarray`_, optional): @@ -1266,8 +1058,9 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) if debug: residcube = np.zeros(outshape) # Subsample each pixel - ssamp_offs = np.arange(0.5/subsample, 1, 1/subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. - area = 1/subsample**2 + spec_offs = np.arange(0.5/spec_subsample, 1, 1/spec_subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. + spat_offs = np.arange(0.5/spat_subsample, 1, 1/spat_subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. + area = 1 / (spec_subsample * spat_subsample) all_wght_subsmp = all_wghts * area # Loop through all slits all_sltid = slitid_img_gpm[(slitid_img_gpm > 0)] @@ -1275,17 +1068,18 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a wave0, wave_delta = output_wcs.wcs.crval[2], output_wcs.wcs.cd[2, 2] for sl, spatid in enumerate(slits.spat_id): msgs.info(f"Resampling slit {sl+1}/{slits.nslits} into the datacube") - this_sl = np.where(all_sltid==spatid) - wpix = np.where(slitid_img_gpm==spatid) + this_sl = np.where(all_sltid == spatid) + wpix = np.where(slitid_img_gpm == spatid) slitID = np.ones(wpix[0].size) * sl - output_wcs.wcs.crpix[0] # Generate a spline between spectral pixel position and wavelength yspl = tilts[wpix]*(slits.nspec - 1) wspl = all_wave[this_sl] asrt = np.argsort(yspl) wave_spl = interp1d(yspl[asrt], wspl[asrt], kind='linear', bounds_error=False, fill_value='extrapolate') + embed() # TODO :: Currently deciding if wpix[1] (and wpix[0]) should have spec_offs or spat_offs for xx in range(subsample): for yy in range(subsample): - # Calculate the tranformation from detector pixels to voxels + # Calculate the transformation from detector pixels to voxels spatpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction @@ -1585,8 +1379,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): spec2DObj = spec2dobj.Spec2DObj.from_file(cubepar['scale_corr'], detname) relScaleImgDef = spec2DObj.scaleimg except: - msgs.warn("Could not load scaleimg from spec2d file:" + msgs.newline() + cubepar['scale_corr'] + - "scale correction will not be performed unless you have specified the correct " + + msgs.warn("Could not load scaleimg from spec2d file:" + msgs.newline() + + cubepar['scale_corr'] + msgs.newline() + + "scale correction will not be performed unless you have specified the correct" + msgs.newline() + "scale_corr file in the spec2d block") cubepar['scale_corr'] = None # Load the default sky frame to be used for sky subtraction @@ -1694,10 +1489,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): waveimn = np.roll(waveimg, -1, axis=0) dwaveimg = np.zeros_like(waveimg) # All good pixels - wnz = np.where((waveimg!=0)&(waveimp!=0)) + wnz = np.where((waveimg!=0) & (waveimp!=0)) dwaveimg[wnz] = np.abs(waveimg[wnz]-waveimp[wnz]) # All bad pixels - wnz = np.where((waveimg!=0)&(waveimp==0)) + wnz = np.where((waveimg!=0) & (waveimp==0)) dwaveimg[wnz] = np.abs(waveimg[wnz]-waveimn[wnz]) # All endpoint pixels dwaveimg[0, :] = np.abs(waveimg[0, :] - waveimn[0, :]) @@ -1764,7 +1559,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): traces = alignments.traces # Generate an RA/DEC image msgs.info("Generating RA/DEC image") - alignSplines = alignframe.AlignmentSplines(traces, locations, tilts) + alignSplines = alignframe.AlignmentSplines(traces, locations, spec2DObj.tilts) raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, initial=True, flexure=flexure) @@ -1900,15 +1695,18 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Make the datacube if method in ['subsample', 'ngp']: - if method == 'ngp': subsample = 1 - else: subsample = cubepar['subsample'] + if method == 'ngp': + spec_subsample, spat_subsample = 1, 1 + else: + spec_subsample, spat_subsample = cubepar['spec_subsample'], cubepar['spat_subsample'] # Get the slit image and then unset pixels in the slit image that are bad slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 generate_cube_subsample(outfile, output_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, alignSplines, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname, subsample=subsample) + fluxcal=fluxcal, specname=specname, + spec_subsample=spec_subsample, spat_subsample=spat_subsample) # elif method == 'resample': # fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) # fluximg[onslit_gpm] = flux_sav[resrt] From 6dd5fa83c9e89ac87a463ce2a98a4043836727b3 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 2 Apr 2023 09:02:34 +0100 Subject: [PATCH 154/308] spec/spat subsample --- pypeit/core/datacube.py | 19 +++++++++---------- pypeit/par/pypeitpar.py | 8 ++++---- 2 files changed, 13 insertions(+), 14 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 85e1e40a1d..dd548e3cc0 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1030,12 +1030,12 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates spec_subsample (`int`, optional): What is the subsampling factor in the spectral direction. Higher values give more reliable results, but note - that the time required goes as (spec_subsample * spat_subsample). The default value is 10, which subsamples - each detector pixel into 10 subpixels in the spectral direction. + that the time required goes as (spec_subsample * spat_subsample). The default value is 5, which subsamples + each detector pixel into 5 subpixels in the spectral direction. spat_subsample (`int`, optional): What is the subsampling factor in the spatial direction. Higher values give more reliable results, but note - that the time required goes as (spec_subsample * spat_subsample). The default value is 10, which subsamples - each detector pixel into 10 subpixels in the spatial direction. + that the time required goes as (spec_subsample * spat_subsample). The default value is 5, which subsamples + each detector pixel into 5 subpixels in the spatial direction. overwrite (`bool`, optional): If True, the output cube will be overwritten. blaze_wave (`numpy.ndarray`_, optional): @@ -1076,15 +1076,14 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a wspl = all_wave[this_sl] asrt = np.argsort(yspl) wave_spl = interp1d(yspl[asrt], wspl[asrt], kind='linear', bounds_error=False, fill_value='extrapolate') - embed() # TODO :: Currently deciding if wpix[1] (and wpix[0]) should have spec_offs or spat_offs - for xx in range(subsample): - for yy in range(subsample): + for xx in range(spat_subsample): + for yy in range(spec_subsample): # Calculate the transformation from detector pixels to voxels - spatpos = astrom_trans.transform(sl, wpix[1] + ssamp_offs[xx], wpix[0] + ssamp_offs[yy]) + spatpos = astrom_trans.transform(sl, wpix[1] + spat_offs[xx], wpix[0] + spec_offs[yy]) # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... - specpos = (wave_spl(tilts[wpix]*(slits.nspec - 1) + ssamp_offs[yy]) - wave0) / wave_delta + specpos = (wave_spl(tilts[wpix]*(slits.nspec - 1) + spec_offs[yy]) - wave0) / wave_delta # Now assemble this position of the datacube pix_coord = np.column_stack((slitID, spatpos, specpos)) tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) @@ -1701,7 +1700,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): spec_subsample, spat_subsample = cubepar['spec_subsample'], cubepar['spat_subsample'] # Get the slit image and then unset pixels in the slit image that are bad slitid_img_gpm = slitid_img_init.copy() - slitid_img_gpm[(bpmmask != 0) | (~sky_is_good)] = 0 + slitid_img_gpm[(bpmmask.mask != 0) | (~sky_is_good)] = 0 generate_cube_subsample(outfile, output_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, alignSplines, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 27f296a8d6..59e88ae63d 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1408,20 +1408,20 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f # 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ # 'for covariance between neighbouring pixels. ' \ - defaults['spec_subsample'] = 10 + defaults['spec_subsample'] = 5 dtypes['spec_subsample'] = int descr['spec_subsample'] = 'When method=subsample, spec_subsample sets the subpixellation scale of ' \ 'each detector pixel in the spectral direction. The total number of subpixels ' \ 'in each pixel is given by spec_subsample x spat_subsample. The default option ' \ - 'is to divide each spec2d pixel into 100 subpixels during datacube creation. ' \ + 'is to divide each spec2d pixel into 25 subpixels during datacube creation. ' \ 'See also, spat_subsample.' - defaults['spat_subsample'] = 10 + defaults['spat_subsample'] = 5 dtypes['spat_subsample'] = int descr['spat_subsample'] = 'When method=subsample, spat_subsample sets the subpixellation scale of ' \ 'each detector pixel in the spatial direction. The total number of subpixels ' \ 'in each pixel is given by spec_subsample x spat_subsample. The default option ' \ - 'is to divide each spec2d pixel into 100 subpixels during datacube creation. ' \ + 'is to divide each spec2d pixel into 25 subpixels during datacube creation. ' \ 'See also, spec_subsample.' defaults['ra_min'] = None From 3514370dab1dfc81f08e383316f485d722b26c13 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 2 Apr 2023 13:35:46 +0100 Subject: [PATCH 155/308] sigcube, bpmcube --- pypeit/core/datacube.py | 40 ++++++++++++++++++++++++---------------- 1 file changed, 24 insertions(+), 16 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index dd548e3cc0..1fd1b8cf28 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -38,8 +38,11 @@ class DataCube(datamodel.DataContainer): Args: flux (`numpy.ndarray`_): The science datacube (nwave, nspaxel_y, nspaxel_x) - variance (`numpy.ndarray`_): - The variance datacube (nwave, nspaxel_y, nspaxel_x) + sig (`numpy.ndarray`_): + The error datacube (nwave, nspaxel_y, nspaxel_x) + bpm (`numpy.ndarray`_): + The bad pixel mask of the datacube (nwave, nspaxel_y, nspaxel_x). + True values indicate a bad pixel blaze_wave (`numpy.ndarray`_): Wavelength array of the spectral blaze function blaze_spec (`numpy.ndarray`_): @@ -62,11 +65,12 @@ class DataCube(datamodel.DataContainer): Build from PYP_SPEC """ - version = '1.0.3' + version = '1.1.0' - datamodel = {'flux': dict(otype=np.ndarray, atype=np.floating, descr='Flux array in units of counts/s/Ang/arcsec^2' + datamodel = {'flux': dict(otype=np.ndarray, atype=np.floating, descr='Flux datacube in units of counts/s/Ang/arcsec^2' 'or 10^-17 erg/s/cm^2/Ang/arcsec^2'), - 'variance': dict(otype=np.ndarray, atype=np.floating, descr='Variance array (matches units of flux)'), + 'sig': dict(otype=np.ndarray, atype=np.floating, descr='Error datacube (matches units of flux)'), + 'bpm': dict(otype=np.ndarray, atype=np.bool, descr='Bad pixel mask of th edatacube (True=bad)'), 'blaze_wave': dict(otype=np.ndarray, atype=np.floating, descr='Wavelength array of the spectral blaze function'), 'blaze_spec': dict(otype=np.ndarray, atype=np.floating, descr='The spectral blaze function'), 'sensfunc': dict(otype=np.ndarray, atype=np.floating, descr='Sensitivity function 10^-17 erg/(counts/cm^2)'), @@ -93,7 +97,7 @@ def from_file(cls, ifile): slf.spect_meta = slf.spectrograph.parse_spec_header(slf.head0) return slf - def __init__(self, flux, variance, PYP_SPEC, blaze_wave, blaze_spec, sensfunc=None, fluxed=None): + def __init__(self, flux, sig, bpm, PYP_SPEC, blaze_wave, blaze_spec, sensfunc=None, fluxed=None): args, _, _, values = inspect.getargvalues(inspect.currentframe()) _d = dict([(k,values[k]) for k in args[1:]]) @@ -1099,7 +1103,9 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a nc_inverse = utils.inverse(normcube) datacube *= nc_inverse varcube *= nc_inverse**2 - if debug: residcube *= nc_inverse + bpmcube = normcube == 0 + if debug: + residcube *= nc_inverse # Prepare the header, and add the unit of flux to the header hdr = output_wcs.to_header() @@ -1110,7 +1116,7 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a # Write out the datacube msgs.info("Saving datacube as: {0:s}".format(outfile)) - final_cube = DataCube(datacube.T, varcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube = DataCube(datacube.T, np.sqrt(varcube.T), bpmcube, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) # Save a residuals cube, if requested @@ -1167,27 +1173,29 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bin # Use NGP to generate the cube - this ensures errors between neighbouring voxels are not correlated datacube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci * all_wghts) - norm, edges = np.histogramdd(pix_coord, bins=bins, weights=all_wghts) - norm_cube = utils.inverse(norm) - datacube *= norm_cube + normcube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_wghts) + nc_inverse = utils.inverse(normcube) + datacube *= nc_inverse # Create the variance cube, including weights msgs.info("Generating variance cube") all_var = utils.inverse(all_ivar) var_cube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_var * all_wghts**2) - var_cube *= norm_cube**2 + var_cube *= nc_inverse**2 + bpmcube = normcube == 0 # Save the datacube if debug: datacube_resid, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci*np.sqrt(all_ivar)) - norm, edges = np.histogramdd(pix_coord, bins=bins) - norm_cube = utils.inverse(norm) + normcube, edges = np.histogramdd(pix_coord, bins=bins) + nc_inverse = utils.inverse(normcube) outfile_resid = "datacube_resid.fits" msgs.info("Saving datacube as: {0:s}".format(outfile_resid)) - hdu = fits.PrimaryHDU((datacube_resid*norm_cube).T, header=hdr) + hdu = fits.PrimaryHDU((datacube_resid*nc_inverse).T, header=hdr) hdu.writeto(outfile_resid, overwrite=overwrite) msgs.info("Saving datacube as: {0:s}".format(outfile)) - final_cube = DataCube(datacube.T, var_cube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube = DataCube(datacube.T, np.sqrt(var_cube.T), bpmcube, specname, blaze_wave, blaze_spec, + sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) From 79230520cbed270c39fc8a9dbe4f76a7d7a29d66 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 2 Apr 2023 14:09:16 +0100 Subject: [PATCH 156/308] doc fix --- pypeit/core/datacube.py | 24 +++++++++++++----------- 1 file changed, 13 insertions(+), 11 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 1fd1b8cf28..6658f8bea7 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -70,7 +70,7 @@ class DataCube(datamodel.DataContainer): datamodel = {'flux': dict(otype=np.ndarray, atype=np.floating, descr='Flux datacube in units of counts/s/Ang/arcsec^2' 'or 10^-17 erg/s/cm^2/Ang/arcsec^2'), 'sig': dict(otype=np.ndarray, atype=np.floating, descr='Error datacube (matches units of flux)'), - 'bpm': dict(otype=np.ndarray, atype=np.bool, descr='Bad pixel mask of th edatacube (True=bad)'), + 'bpm': dict(otype=np.ndarray, atype=np.bool_, descr='Bad pixel mask of the datacube (True=bad)'), 'blaze_wave': dict(otype=np.ndarray, atype=np.floating, descr='Wavelength array of the spectral blaze function'), 'blaze_spec': dict(otype=np.ndarray, atype=np.floating, descr='The spectral blaze function'), 'sensfunc': dict(otype=np.ndarray, atype=np.floating, descr='Sensitivity function 10^-17 erg/(counts/cm^2)'), @@ -131,6 +131,8 @@ def _bundle(self): tmp = {} if self.datamodel[key]['atype'] == np.floating: tmp[key] = self[key].astype(np.float32) + elif self.datamodel[key]['atype'] == np.bool_: + tmp[key] = self[key].astype(np.bool_) else: tmp[key] = self[key] d.append(tmp) @@ -1127,7 +1129,7 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a hdu.writeto(outfile_resid, overwrite=overwrite) -def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, +def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, vox_coord, bins, overwrite=False, blaze_wave=None, blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ @@ -1144,10 +1146,10 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bin 1D flattened array containing the inverse variance of each pixel from all spec2d files all_wghts (`numpy.ndarray`_): 1D flattened array containing the weights of each pixel to be used in the combination - pix_coord (`numpy.ndarray`_): - The NGP pixel coordinates corresponding to the RA,DEC,WAVELENGTH of each individual - pixel in the processed spec2d frames. After setting up an astropy WCS, pix_coord is - returned by the function: `astropy.wcs.WCS.wcs_world2pix_` + vox_coord (`numpy.ndarray`_): + The voxel coordinates of each pixel in the spec2d frames. vox_coord is returned by the + function `astropy.wcs.WCS.wcs_world2pix_` once a WCS is setup and every spec2d detector + pixel has an RA, DEC, and WAVELENGTH. bins (tuple): A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates overwrite (`bool`): @@ -1172,21 +1174,21 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bin hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") # Use NGP to generate the cube - this ensures errors between neighbouring voxels are not correlated - datacube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci * all_wghts) - normcube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_wghts) + datacube, edges = np.histogramdd(vox_coord, bins=bins, weights=all_sci * all_wghts) + normcube, edges = np.histogramdd(vox_coord, bins=bins, weights=all_wghts) nc_inverse = utils.inverse(normcube) datacube *= nc_inverse # Create the variance cube, including weights msgs.info("Generating variance cube") all_var = utils.inverse(all_ivar) - var_cube, edges = np.histogramdd(pix_coord, bins=bins, weights=all_var * all_wghts**2) + var_cube, edges = np.histogramdd(vox_coord, bins=bins, weights=all_var * all_wghts ** 2) var_cube *= nc_inverse**2 bpmcube = normcube == 0 # Save the datacube if debug: - datacube_resid, edges = np.histogramdd(pix_coord, bins=bins, weights=all_sci*np.sqrt(all_ivar)) - normcube, edges = np.histogramdd(pix_coord, bins=bins) + datacube_resid, edges = np.histogramdd(vox_coord, bins=bins, weights=all_sci * np.sqrt(all_ivar)) + normcube, edges = np.histogramdd(vox_coord, bins=bins) nc_inverse = utils.inverse(normcube) outfile_resid = "datacube_resid.fits" msgs.info("Saving datacube as: {0:s}".format(outfile_resid)) From de715366c4ee5ff64ac2369dc74cabe3bb1a58df Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 2 Apr 2023 15:04:56 +0100 Subject: [PATCH 157/308] bpm uint --- pypeit/core/datacube.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 6658f8bea7..ce284b4898 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -70,7 +70,7 @@ class DataCube(datamodel.DataContainer): datamodel = {'flux': dict(otype=np.ndarray, atype=np.floating, descr='Flux datacube in units of counts/s/Ang/arcsec^2' 'or 10^-17 erg/s/cm^2/Ang/arcsec^2'), 'sig': dict(otype=np.ndarray, atype=np.floating, descr='Error datacube (matches units of flux)'), - 'bpm': dict(otype=np.ndarray, atype=np.bool_, descr='Bad pixel mask of the datacube (True=bad)'), + 'bpm': dict(otype=np.ndarray, atype=np.uint8, descr='Bad pixel mask of the datacube (0=good, 1=bad)'), 'blaze_wave': dict(otype=np.ndarray, atype=np.floating, descr='Wavelength array of the spectral blaze function'), 'blaze_spec': dict(otype=np.ndarray, atype=np.floating, descr='The spectral blaze function'), 'sensfunc': dict(otype=np.ndarray, atype=np.floating, descr='Sensitivity function 10^-17 erg/(counts/cm^2)'), @@ -100,7 +100,7 @@ def from_file(cls, ifile): def __init__(self, flux, sig, bpm, PYP_SPEC, blaze_wave, blaze_spec, sensfunc=None, fluxed=None): args, _, _, values = inspect.getargvalues(inspect.currentframe()) - _d = dict([(k,values[k]) for k in args[1:]]) + _d = dict([(k, values[k]) for k in args[1:]]) # Setup the DataContainer datamodel.DataContainer.__init__(self, d=_d) @@ -131,8 +131,6 @@ def _bundle(self): tmp = {} if self.datamodel[key]['atype'] == np.floating: tmp[key] = self[key].astype(np.float32) - elif self.datamodel[key]['atype'] == np.bool_: - tmp[key] = self[key].astype(np.bool_) else: tmp[key] = self[key] d.append(tmp) @@ -1105,7 +1103,7 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a nc_inverse = utils.inverse(normcube) datacube *= nc_inverse varcube *= nc_inverse**2 - bpmcube = normcube == 0 + bpmcube = (normcube == 0).astype(np.uint8) if debug: residcube *= nc_inverse @@ -1183,7 +1181,7 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, vox_coord, bin all_var = utils.inverse(all_ivar) var_cube, edges = np.histogramdd(vox_coord, bins=bins, weights=all_var * all_wghts ** 2) var_cube *= nc_inverse**2 - bpmcube = normcube == 0 + bpmcube = (normcube == 0).astype(np.uint8) # Save the datacube if debug: From c5fd85bf6fe4320a2ff41b9ec1ea328198fc5635 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 08:36:14 +0100 Subject: [PATCH 158/308] rm embed --- pypeit/flatfield.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 19334f68ad..2887cf05a8 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1363,8 +1363,6 @@ def spatial_fit_finecorr(self, spat_illum, onslit_tweak, slit_idx, slit_spat, gp Save the QA? """ # TODO :: Include fit_order in the parset?? - if slit_idx==0 and self.spat_illum_only: - embed() fit_order = np.array([3, 6]) msgs.info("Performing a fine correction to the spatial illumination (slit={0:d})".format(slit_spat)) # initialise From df0a7cbc8afcccea972e6f9550ec44a61e6ed1df Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 08:39:22 +0100 Subject: [PATCH 159/308] added TODO --- pypeit/coadd1d.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pypeit/coadd1d.py b/pypeit/coadd1d.py index ca77bd0746..d6541f1abb 100644 --- a/pypeit/coadd1d.py +++ b/pypeit/coadd1d.py @@ -103,6 +103,7 @@ def load_arrays(self): wave_iexp, flux_iexp, ivar_iexp, gpm_iexp, meta_spec, header = \ sobjs[indx].unpack_object(ret_flam=self.par['flux_value'], extract_type=self.par['ex_value']) # Allocate arrays on first iteration + # TODO :: We should refactor to use a list of numpy arrays, instead of a 2D numpy array. if iexp == 0: waves = np.zeros(wave_iexp.shape + (self.nexp,)) fluxes = np.zeros_like(waves) @@ -113,6 +114,7 @@ def load_arrays(self): header_out['RA_OBJ'] = sobjs[indx][0]['RA'] header_out['DEC_OBJ'] = sobjs[indx][0]['DEC'] # Check if the arrays need to be padded + # TODO :: Remove the if/elif statement below once these 2D arrays have been converted to a list of 1D arrays if wave_iexp.shape[0] > waves.shape[0]: padv = [(0, wave_iexp.shape[0]-waves.shape[0]), (0, 0)] waves = np.pad(waves, padv, mode='constant', constant_values=(0, 0)) From 7310483c3c02ac565192d5c0b959cc4f939deba8 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 09:19:26 +0100 Subject: [PATCH 160/308] subpixel ivar --- pypeit/core/datacube.py | 81 ++++++++++++++++++++++------------------- pypeit/par/pypeitpar.py | 48 ++++++++++++------------ 2 files changed, 67 insertions(+), 62 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ce284b4898..3dcc262499 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -167,6 +167,10 @@ def to_file(self, ofile, primary_hdr=None, hdr=None, **kwargs): # Do it super(DataCube, self).to_file(ofile, primary_hdr=primary_hdr, hdr=hdr, **kwargs) + @property + def ivar(self): + return utils.inverse(self.sig**2) + def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pressure, temperature, rel_humidity): """ Generates a fitting function to calculate the offset due to differential atmospheric refraction @@ -993,20 +997,21 @@ def compute_weights(all_ra, all_dec, all_wave, all_sci, all_ivar, all_idx, white return all_wghts -def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, - astrom_trans, bins, spec_subsample=10, spat_subsample=10, overwrite=False, blaze_wave=None, - blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): +def generate_cube_subpixel(outfile, output_wcs, all_sci, all_ivar, all_wghts, all_wave, tilts, slits, slitid_img_gpm, + astrom_trans, bins, spec_subpixel=10, spat_subpixel=10, overwrite=False, blaze_wave=None, + blaze_spec=None, fluxcal=False, sensfunc=None, specname="PYP_SPEC", debug=False): """ - Save a datacube using the subsample algorithm. This algorithm splits + Save a datacube using the subpixel algorithm. This algorithm splits each detector pixel into multiple subpixels, and then assigns each - subpixel to a voxel. For example, if subsample=10, then each detector - pixel is subsampled by 10^2=100 subpixels. When subsample=1, this - corresponds to the nearest grid point (NGP) algorithm. + subpixel to a voxel. For example, if spec_subpixel = spat_subpixel = 10, + then each detector pixel is divided into 10^2=100 subpixels. Alternatively, + when spec_subpixel = spat_subpixel = 1, this corresponds to the nearest + grid point (NGP) algorithm. - Important Note: If subsample > 1, the errors are correlated, and the - covariance is not being tracked, so the errors will not be (quite) right. - There is a tradeoff one has to make between sampling and better looking - cubes, versus no sampling and better behaved errors. + Important Note: If spec_subpixel > 1 or spat_subpixel > 1, the errors will + be correlated, and the covariance is not being tracked, so the errors will + not be (quite) right. There is a tradeoff one has to make between sampling + and better looking cubes, versus no sampling and better behaved errors. Args: outfile (`str`): @@ -1032,14 +1037,14 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a A Class containing the transformation between detector pixel coordinates and WCS pixel coordinates bins (tuple): A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates - spec_subsample (`int`, optional): - What is the subsampling factor in the spectral direction. Higher values give more reliable results, but note - that the time required goes as (spec_subsample * spat_subsample). The default value is 5, which subsamples - each detector pixel into 5 subpixels in the spectral direction. - spat_subsample (`int`, optional): - What is the subsampling factor in the spatial direction. Higher values give more reliable results, but note - that the time required goes as (spec_subsample * spat_subsample). The default value is 5, which subsamples - each detector pixel into 5 subpixels in the spatial direction. + spec_subpixel (`int`, optional): + What is the subpixellation factor in the spectral direction. Higher values give more reliable results, + but note that the time required goes as (spec_subpixel * spat_subpixel). The default value is 5, + which divides each detector pixel into 5 subpixels in the spectral direction. + spat_subpixel (`int`, optional): + What is the subpixellation factor in the spatial direction. Higher values give more reliable results, + but note that the time required goes as (spec_subpixel * spat_subpixel). The default value is 5, + which divides each detector pixel into 5 subpixels in the spatial direction. overwrite (`bool`, optional): If True, the output cube will be overwritten. blaze_wave (`numpy.ndarray`_, optional): @@ -1061,11 +1066,11 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a outshape = (bins[0].size-1, bins[1].size-1, bins[2].size-1) datacube, varcube, normcube = np.zeros(outshape), np.zeros(outshape), np.zeros(outshape) if debug: residcube = np.zeros(outshape) - # Subsample each pixel - spec_offs = np.arange(0.5/spec_subsample, 1, 1/spec_subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. - spat_offs = np.arange(0.5/spat_subsample, 1, 1/spat_subsample) - 0.5 # -0.5 is to offset from the centre of each pixel. - area = 1 / (spec_subsample * spat_subsample) - all_wght_subsmp = all_wghts * area + # Divide each pixel into subpixels + spec_offs = np.arange(0.5/spec_subpixel, 1, 1/spec_subpixel) - 0.5 # -0.5 is to offset from the centre of each pixel. + spat_offs = np.arange(0.5/spat_subpixel, 1, 1/spat_subpixel) - 0.5 # -0.5 is to offset from the centre of each pixel. + area = 1 / (spec_subpixel * spat_subpixel) + all_wght_subpix = all_wghts * area # Loop through all slits all_sltid = slitid_img_gpm[(slitid_img_gpm > 0)] all_var = utils.inverse(all_ivar) @@ -1080,19 +1085,19 @@ def generate_cube_subsample(outfile, output_wcs, all_sci, all_ivar, all_wghts, a wspl = all_wave[this_sl] asrt = np.argsort(yspl) wave_spl = interp1d(yspl[asrt], wspl[asrt], kind='linear', bounds_error=False, fill_value='extrapolate') - for xx in range(spat_subsample): - for yy in range(spec_subsample): + for xx in range(spat_subpixel): + for yy in range(spec_subpixel): # Calculate the transformation from detector pixels to voxels spatpos = astrom_trans.transform(sl, wpix[1] + spat_offs[xx], wpix[0] + spec_offs[yy]) - # TODO :: The tilts in the following line is evaluated at the pixel location, not the subsampled pixel location + # TODO :: The tilts in the following line is evaluated at the pixel location, not the subpixel locations # A simple fix is implemented for the spectral direction, but this is not so straightforward for the spatial direction # Probably, the correction in the spatial direction is so tiny, that this doesn't matter... specpos = (wave_spl(tilts[wpix]*(slits.nspec - 1) + spec_offs[yy]) - wave0) / wave_delta # Now assemble this position of the datacube pix_coord = np.column_stack((slitID, spatpos, specpos)) - tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subsmp[this_sl]) - tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subsmp[this_sl]**2) - tmp_nm, _ = np.histogramdd(pix_coord, bins=bins, weights=all_wght_subsmp[this_sl]) + tmp_dc, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * all_wght_subpix[this_sl]) + tmp_vr, _ = np.histogramdd(pix_coord, bins=bins, weights=all_var[this_sl] * all_wght_subpix[this_sl]**2) + tmp_nm, _ = np.histogramdd(pix_coord, bins=bins, weights=all_wght_subpix[this_sl]) if debug: tmp_rsd, _ = np.histogramdd(pix_coord, bins=bins, weights=all_sci[this_sl] * np.sqrt(all_ivar[this_sl])) residcube += tmp_rsd @@ -1701,19 +1706,19 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): cd_spat = cubepar['spatial_delta'] if cubepar['spatial_delta'] is not None else px_deg * 3600.0 output_wcs = spec.get_wcs(spec2DObj.head0, slits, detector.platescale, crval_wv, cd_wv, spatial_scale=cd_spat) # Make the datacube - if method in ['subsample', 'ngp']: + if method in ['subpixel', 'ngp']: if method == 'ngp': - spec_subsample, spat_subsample = 1, 1 + spec_subpixel, spat_subpixel = 1, 1 else: - spec_subsample, spat_subsample = cubepar['spec_subsample'], cubepar['spat_subsample'] + spec_subpixel, spat_subpixel = cubepar['spec_subpixel'], cubepar['spat_subpixel'] # Get the slit image and then unset pixels in the slit image that are bad slitid_img_gpm = slitid_img_init.copy() slitid_img_gpm[(bpmmask.mask != 0) | (~sky_is_good)] = 0 - generate_cube_subsample(outfile, output_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), - wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, alignSplines, bins, - overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, - fluxcal=fluxcal, specname=specname, - spec_subsample=spec_subsample, spat_subsample=spat_subsample) + generate_cube_subpixel(outfile, output_wcs, flux_sav[resrt], ivar_sav[resrt], np.ones(numpix), + wave_ext, spec2DObj.tilts, slits, slitid_img_gpm, alignSplines, bins, + overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, + fluxcal=fluxcal, specname=specname, + spec_subpixel=spec_subpixel, spat_subpixel=spat_subpixel) # elif method == 'resample': # fluximg, ivarimg = np.zeros_like(raimg), np.zeros_like(raimg) # fluximg[onslit_gpm] = flux_sav[resrt] diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 59e88ae63d..a5b61e794b 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1323,7 +1323,7 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f standard_cube=None, reference_image=None, save_whitelight=None, method=None, ra_min=None, ra_max=None, dec_min=None, dec_max=None, wave_min=None, wave_max=None, spatial_delta=None, wave_delta=None, astrometric=None, grating_corr=None, scale_corr=None, - skysub_frame=None, spec_subsample=None, spat_subsample=None): + skysub_frame=None, spec_subpixel=None, spat_subpixel=None): # Grab the parameter names and values from the function # arguments @@ -1388,13 +1388,13 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f 'ranges. If combine=False, the individual spec3d files will have a suffix ' \ '"_whitelight".' - defaults['method'] = "subsample" + defaults['method'] = "subpixel" dtypes['method'] = str - descr['method'] = 'What method should be used to generate the datacube. There are currently two options:' \ - '(1) "subsample" (default) - this algorithm subsamples each pixel in the spec2d frames ' \ - 'and assigns each subpixel into a voxel of the datacube. Flux is conserved, but voxels ' \ - 'are correlated, and the error spectrum does not account for covariance between adjacent ' \ - 'voxels. See also, spec_subsample and spat_subsample.' \ + descr['method'] = 'What method should be used to generate the datacube. There are currently two options: ' \ + '(1) "subpixel" (default) - this algorithm divides each pixel in the spec2d frames ' \ + 'into subpixels, and assigns each subpixel to a voxel of the datacube. Flux is conserved, ' \ + 'but voxels are correlated, and the error spectrum does not account for covariance between ' \ + 'adjacent voxels. See also, spec_subpixel and spat_subpixel.' \ '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ 'conserved, voxels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ @@ -1408,21 +1408,21 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f # 'Flux is conserved, but voxels are correlated, and the error spectrum does not account ' \ # 'for covariance between neighbouring pixels. ' \ - defaults['spec_subsample'] = 5 - dtypes['spec_subsample'] = int - descr['spec_subsample'] = 'When method=subsample, spec_subsample sets the subpixellation scale of ' \ - 'each detector pixel in the spectral direction. The total number of subpixels ' \ - 'in each pixel is given by spec_subsample x spat_subsample. The default option ' \ - 'is to divide each spec2d pixel into 25 subpixels during datacube creation. ' \ - 'See also, spat_subsample.' - - defaults['spat_subsample'] = 5 - dtypes['spat_subsample'] = int - descr['spat_subsample'] = 'When method=subsample, spat_subsample sets the subpixellation scale of ' \ - 'each detector pixel in the spatial direction. The total number of subpixels ' \ - 'in each pixel is given by spec_subsample x spat_subsample. The default option ' \ - 'is to divide each spec2d pixel into 25 subpixels during datacube creation. ' \ - 'See also, spec_subsample.' + defaults['spec_subpixel'] = 5 + dtypes['spec_subpixel'] = int + descr['spec_subpixel'] = 'When method=subpixel, spec_subpixel sets the subpixellation scale of ' \ + 'each detector pixel in the spectral direction. The total number of subpixels ' \ + 'in each pixel is given by spec_subpixel x spat_subpixel. The default option ' \ + 'is to divide each spec2d pixel into 25 subpixels during datacube creation. ' \ + 'See also, spat_subpixel.' + + defaults['spat_subpixel'] = 5 + dtypes['spat_subpixel'] = int + descr['spat_subpixel'] = 'When method=subpixel, spat_subpixel sets the subpixellation scale of ' \ + 'each detector pixel in the spatial direction. The total number of subpixels ' \ + 'in each pixel is given by spec_subpixel x spat_subpixel. The default option ' \ + 'is to divide each spec2d pixel into 25 subpixels during datacube creation. ' \ + 'See also, spec_subpixel.' defaults['ra_min'] = None dtypes['ra_min'] = float @@ -1509,7 +1509,7 @@ def from_dict(cls, cfg): # Basic keywords parkeys = ['slit_spec', 'output_filename', 'standard_cube', 'reference_image', 'save_whitelight', - 'method', 'spec_subsample', 'spat_subsample', 'ra_min', 'ra_max', 'dec_min', 'dec_max', + 'method', 'spec_subpixel', 'spat_subpixel', 'ra_min', 'ra_max', 'dec_min', 'dec_max', 'wave_min', 'wave_max', 'spatial_delta', 'wave_delta', 'relative_weights', 'combine', 'astrometric', 'grating_corr', 'scale_corr', 'skysub_frame'] @@ -1523,7 +1523,7 @@ def from_dict(cls, cfg): return cls(**kwargs) def validate(self): - allowed_methods = ["subsample", "NGP"]#, "resample" + allowed_methods = ["subpixel", "NGP"]#, "resample" if self.data['method'] not in allowed_methods: raise ValueError("The 'method' must be one of:\n"+", ".join(allowed_methods)) From 7aece8e84fdf64765268ff7402ed2ade754aa4bd Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 09:26:25 +0100 Subject: [PATCH 161/308] subpixel docs --- doc/coadd3d.rst | 25 ++++++++++++++----------- pypeit/core/datacube.py | 16 ++++++++-------- 2 files changed, 22 insertions(+), 19 deletions(-) diff --git a/doc/coadd3d.rst b/doc/coadd3d.rst index c78c24eb3a..30b1693b10 100644 --- a/doc/coadd3d.rst +++ b/doc/coadd3d.rst @@ -100,7 +100,7 @@ Combination options =================== PypeIt currently supports two different methods to convert an spec2d frame into a datacube; -these options are called ``subsample`` (default) and ``NGP`` (which is short for, nearest grid point), +these options are called ``subpixel`` (default) and ``NGP`` (which is short for, nearest grid point), and can be set using the following keyword arguments: .. code-block:: ini @@ -109,24 +109,27 @@ and can be set using the following keyword arguments: [[cube]] method = ngp -The default option is called ``subsample``, which subsamples each pixel in the spec2d frame -and assigns each subpixel into a voxel of the datacube. Flux is conserved, but voxels are -correlated, and the error spectrum does not account for covariance between adjacent voxels. -If you would like to change the subsampling factor from the default value (10), you can set -the ``subsample`` keyword as follows: +The default option is called ``subpixel``, which divides each pixel in the spec2d frame +into many subpixels, and assigns each subpixel to a voxel of the datacube. Flux is conserved, +but voxels are correlated, and the error spectrum does not account for covariance between +adjacent voxels. The subpixellation scale can be separately set in the spatial and spectral +direction on the 2D detector. If you would like to change the subpixellation factors from +the default values (5), you can set the ``spec_subpixel`` and ``spat_subpixel`` keywords +as follows: .. code-block:: ini [reduce] [[cube]] - method = subsample - subsample = 5 + method = subpixel + spec_subpixel = 8 + spat_subpixel = 10 The total number of subpixels generated for each detector pixel on the spec2d frame is -subsample^2. The default option (subsample=10) divides each spec2d pixel into 100 subpixels +spec_subpixel x spat_subpixel. The default values (5) divide each spec2d pixel into 25 subpixels during datacube creation. As an alternative, you can convert the spec2d frames into a datacube -which the ``NGP`` method. This algorithm is effectively a 3D histogram. This approach is faster -than ``subsample``, flux is conserved, and voxels are not correlated. However, this option suffers +with the ``NGP`` method. This algorithm is effectively a 3D histogram. This approach is faster +than ``subpixel``, flux is conserved, and voxels are not correlated. However, this option suffers the same downsides as any histogram; the choice of bin sizes can change how the datacube appears. This algorithm takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the datacube. Depending on the binning used, some voxels may be empty (zero flux) while a diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 3dcc262499..feba00e602 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -474,13 +474,13 @@ def rebinND(img, shape): return img_out -def extract_standard_spec(stdcube, subsample=20, method='boxcar'): +def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): """ Extract a spectrum of a standard star from a datacube Args: std_cube (`astropy.io.fits.HDUList`_): An HDU list of fits files - subsample (int): + subpixel (int): Number of pixels to subpixelate spectrum when creating mask method (str): Method used to extract standard star spectrum. Currently, only 'boxcar' is supported @@ -507,12 +507,12 @@ def extract_standard_spec(stdcube, subsample=20, method='boxcar'): wid = max(popt[3], popt[4]) # Setup the coordinates of the mask - x = np.linspace(0, flxcube.shape[0] - 1, flxcube.shape[0] * subsample) - y = np.linspace(0, flxcube.shape[1] - 1, flxcube.shape[1] * subsample) + x = np.linspace(0, flxcube.shape[0] - 1, flxcube.shape[0] * subpixel) + y = np.linspace(0, flxcube.shape[1] - 1, flxcube.shape[1] * subpixel) xx, yy = np.meshgrid(x, y, indexing='ij') # Generate a mask - newshape = (flxcube.shape[0] * subsample, flxcube.shape[1] * subsample) + newshape = (flxcube.shape[0] * subpixel, flxcube.shape[1] * subpixel) mask = np.zeros(newshape) nsig = 4 # 4 sigma should be far enough... Note: percentage enclosed for 2D Gaussian = 1-np.exp(-0.5 * nsig**2) ww = np.where((np.sqrt((xx - popt[1]) ** 2 + (yy - popt[2]) ** 2) < nsig * wid)) @@ -520,7 +520,7 @@ def extract_standard_spec(stdcube, subsample=20, method='boxcar'): mask = rebinND(mask, (flxcube.shape[0], flxcube.shape[1])).reshape(flxcube.shape[0], flxcube.shape[1], 1) # Generate a sky mask - newshape = (flxcube.shape[0] * subsample, flxcube.shape[1] * subsample) + newshape = (flxcube.shape[0] * subpixel, flxcube.shape[1] * subpixel) smask = np.zeros(newshape) nsig = 8 # 8 sigma should be far enough ww = np.where((np.sqrt((xx - popt[1]) ** 2 + (yy - popt[2]) ** 2) < nsig * wid)) @@ -1281,8 +1281,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): method = cubepar['method'].lower() # Determine what method is requested - if method == "subsample": - msgs.info("Adopting the subsample algorithm to generate the datacube.") + if method == "subpixel": + msgs.info("Adopting the subpixel algorithm to generate the datacube.") elif method == "ngp": msgs.info("Adopting the nearest grid point (NGP) algorithm to generate the datacube.") else: From 337322576c19e94565d3c4234449022194969387 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 10:26:36 +0100 Subject: [PATCH 162/308] datamodel --- doc/coadd3d.rst | 18 ++++++++--------- pypeit/core/datacube.py | 45 +++++++++++++++++++++++------------------ 2 files changed, 33 insertions(+), 30 deletions(-) diff --git a/doc/coadd3d.rst b/doc/coadd3d.rst index 30b1693b10..53e90eb8ca 100644 --- a/doc/coadd3d.rst +++ b/doc/coadd3d.rst @@ -292,22 +292,20 @@ plot a wavelength slice of the cube: from matplotlib import pyplot as plt from astropy.visualization import ZScaleInterval, ImageNormalize - import astropy.io.fits as fits - from astropy.wcs import WCS + from pypeit.core.datacube import DataCube filename = "datacube.fits" - cube = fits.open(filename) - hdu_sci = cube['FLUX'] - hdu_var = cube['VARIANCE'] - wcs = WCS(hdu_sci.header) + cube = DataCube.from_file(filename) + flux_cube = cube.flux # Flux datacube + error_cube = cube.sig # Errors associated with each voxel of the flux datacube + ivar_cube = cube.ivar # Inverse variance cube + wcs = cube.wcs wave_slice = 1000 - norm = ImageNormalize(hdu_sci.data[wave_slice,:,:], interval=ZScaleInterval()) + norm = ImageNormalize(flux_cube[wave_slice,:,:], interval=ZScaleInterval()) fig = plt.figure() fig.add_subplot(111, projection=wcs, slices=('x', 'y', wave_slice)) - plt.imshow(hdu_sci.data[wave_slice,:,:], origin='lower', cmap=plt.cm.viridis, norm=norm) + plt.imshow(flux_cube[wave_slice,:,:], origin='lower', cmap=plt.cm.viridis, norm=norm) plt.xlabel('RA') plt.ylabel('Dec') plt.show() -.. TODO: This needs an actual datamodel - diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index feba00e602..ee9ad68478 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -77,26 +77,6 @@ class DataCube(datamodel.DataContainer): 'PYP_SPEC': dict(otype=str, descr='PypeIt: Spectrograph name'), 'fluxed': dict(otype=bool, descr='Boolean indicating if the datacube is fluxed.')} - @classmethod - def from_file(cls, ifile): - """ - Over-load :func:`pypeit.datamodel.DataContainer.from_file` - to deal with the header - - Args: - ifile (str): Filename holding the object - """ - hdul = fits.open(ifile) - slf = super(DataCube, cls).from_hdu(hdul) - - # Internals - slf.filename = ifile - slf.head0 = hdul[0].header - # Meta - slf.spectrograph = load_spectrograph(slf.PYP_SPEC) - slf.spect_meta = slf.spectrograph.parse_spec_header(slf.head0) - return slf - def __init__(self, flux, sig, bpm, PYP_SPEC, blaze_wave, blaze_spec, sensfunc=None, fluxed=None): args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -167,10 +147,35 @@ def to_file(self, ofile, primary_hdr=None, hdr=None, **kwargs): # Do it super(DataCube, self).to_file(ofile, primary_hdr=primary_hdr, hdr=hdr, **kwargs) + @classmethod + def from_file(cls, ifile): + """ + Over-load :func:`pypeit.datamodel.DataContainer.from_file` + to deal with the header + + Args: + ifile (str): Filename holding the object + """ + # Load the file as usual + slf = super(DataCube, cls).from_file(ifile) + + # Set the internals + hdul = fits.open(ifile) + slf.filename = ifile + slf.head0 = hdul[1].header # Actually use the first extension here, since it contains the WCS + # Meta + slf.spectrograph = load_spectrograph(slf.PYP_SPEC) + slf.spect_meta = slf.spectrograph.parse_spec_header(hdul[0].header) + return slf + @property def ivar(self): return utils.inverse(self.sig**2) + @property + def wcs(self): + return wcs.WCS(self.head0) + def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pressure, temperature, rel_humidity): """ Generates a fitting function to calculate the offset due to differential atmospheric refraction From 06f2cf2d22b65099d483a6357fb2af02e032e951 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 3 Apr 2023 08:05:52 -0700 Subject: [PATCH 163/308] Finish allowing 3.11 --- .github/workflows/ci_cron.yml | 2 +- .github/workflows/ci_tests.yml | 4 ++-- doc/installing.rst | 4 ---- 3 files changed, 3 insertions(+), 7 deletions(-) diff --git a/.github/workflows/ci_cron.yml b/.github/workflows/ci_cron.yml index 718ea09dec..b0c16d58a7 100644 --- a/.github/workflows/ci_cron.yml +++ b/.github/workflows/ci_cron.yml @@ -15,7 +15,7 @@ jobs: strategy: matrix: os: [ubuntu-latest] - python: ['3.9', '3.10'] + python: ['3.9', '3.10', '3.11'] toxenv: [test-alldeps, test-numpydev, test-linetoolsdev, test-gingadev, test-astropydev, conda] steps: - name: Check out repository diff --git a/.github/workflows/ci_tests.yml b/.github/workflows/ci_tests.yml index 055c998e72..02080871aa 100644 --- a/.github/workflows/ci_tests.yml +++ b/.github/workflows/ci_tests.yml @@ -17,7 +17,7 @@ jobs: strategy: matrix: os: [ubuntu-latest] - python: ['3.9', '3.10'] + python: ['3.9', '3.10', '3.11'] toxenv: [test, test-alldeps-cov, test-linetoolsdev, test-gingadev, test-astropydev, conda] steps: - name: Check out repository @@ -48,7 +48,7 @@ jobs: fail-fast: false matrix: os: [windows-latest, macos-latest] - python: ['3.9', '3.10'] + python: ['3.9', '3.10', '3.11'] toxenv: [test-alldeps] steps: - name: Check out repository diff --git a/doc/installing.rst b/doc/installing.rst index cb4853d11b..5343e22624 100644 --- a/doc/installing.rst +++ b/doc/installing.rst @@ -16,10 +16,6 @@ Installation instead. If that also fails, please `Submit an issue`_ and/or reach out to our user :ref:`community`. -.. warning:: - - Python 3.11 is not yet supported. - Below, we provide detailed instructions for installing PypeIt. For troubleshooting, please consult the PypeIt :ref:`community` and/or `submit an issue `__ on GitHub. From ab020b1644f84290c663bf46b763cedfcfd6f11d Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 3 Apr 2023 08:27:30 -0700 Subject: [PATCH 164/308] bug fix --- pypeit/scripts/show_2dspec.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index 4beaea868e..2feac53e7b 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -194,9 +194,11 @@ def main(args): if 'maskdef_id' in slit_columns else None if 'SCI_SPAT_FLEXURE' in hdu[f'{detname}-SCIIMG'].header \ and slit_left is not None and slit_right is not None: - slit_left += float(hdu[f'{detname}-SCIIMG'].header['SCI_SPAT_FLEXURE']) - slit_right += float(hdu[f'{detname}-SCIIMG'].header['SCI_SPAT_FLEXURE']) - msgs.info("Offseting slits by {}".format(sci_spat_flexure)) + sci_spat_flexure \ + = float(hdu[f'{detname}-SCIIMG'].header['SCI_SPAT_FLEXURE']) + slit_left += sci_spat_flexure + slit_right += sci_spat_flexure + msgs.info(f'Offseting slits by {sci_spat_flexure} pixels.') pypeline = hdu[f'{detname}-SCIIMG'].header['PYPELINE'] \ if 'PYPELINE' in hdu[f'{detname}-SCIIMG'].header else None if pypeline in ['MultiSlit', 'IFU']: From 1b9bf724a3645f7db9f8eb31932a18064b36eecc Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 3 Apr 2023 08:40:53 -0700 Subject: [PATCH 165/308] Doc update --- doc/include/dependencies_table.rst | 2 +- pypeit/scripts/ql_multislit.py | 5 +++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/doc/include/dependencies_table.rst b/doc/include/dependencies_table.rst index 00bbb8c9c5..a154ba6ace 100644 --- a/doc/include/dependencies_table.rst +++ b/doc/include/dependencies_table.rst @@ -1,5 +1,5 @@ ======================= ====================================================================================================================================================================================================================================================================================== -Python Version ``>=3.9,<3.11`` +Python Version ``>=3.9,<3.12`` Required for users ``IPython>=7.10.0``, ``PyYAML>=5.1``, ``astropy>=4.3``, ``bottleneck``, ``configobj>=5.0.6``, ``extension-helpers>=0.1``, ``ginga>=3.2``, ``linetools``, ``matplotlib>=3.3``, ``numpy>=1.21``, ``packaging>=0.19``, ``pygithub``, ``qtpy>=1.9``, ``scikit-learn>=1.0``, ``scipy>=1.7`` Required for developers ``codecov``, ``coverage``, ``docutils<0.18``, ``pytest-astropy``, ``pytest-cov``, ``pytest>=6.0.0``, ``sphinx-automodapi``, ``sphinx<6,>=1.6``, ``sphinx_rtd_theme==1.1.1``, ``tox`` ======================= ====================================================================================================================================================================================================================================================================================== diff --git a/pypeit/scripts/ql_multislit.py b/pypeit/scripts/ql_multislit.py index d8e3eb6cd1..ea2edcb4da 100644 --- a/pypeit/scripts/ql_multislit.py +++ b/pypeit/scripts/ql_multislit.py @@ -6,6 +6,7 @@ """ import copy +import os import pathlib import time @@ -178,11 +179,11 @@ def run(files, dither_id, offset_arcsec, caliBrate, spectrograph, platescale, pa msgs.warn('Skpping files that do not have an A-B match with the same throw:') for iexp in range(len(A_files_uni)): msg_string += msgs.newline() + ' {:s} {:s} {:6.2f} {:6.2f}'.format( - os.path.basename(A_files_uni[iexp]), A_dither_id_uni[iexp], + A_files_uni[iexp].name, A_dither_id_uni[iexp], A_offset[iexp], A_offset[iexp] / platescale) for iexp in range(len(B_files_uni)): msg_string += msgs.newline() + ' {:s} {:s} {:6.2f} {:6.2f}'.format( - os.path.basename(B_files_uni[iexp]), B_dither_id_uni[iexp], + B_files_uni[iexp].name, B_dither_id_uni[iexp], B_offset[iexp], B_offset[iexp] / platescale) else: msgs.info('Reducing images for offset = {:}'.format(A_offset[0])) From 77de6b95673f974a044d5e27248f0096b40b7df0 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 3 Apr 2023 10:33:10 -0700 Subject: [PATCH 166/308] PR comments --- pypeit/alignframe.py | 8 ++--- pypeit/calibrations.py | 66 +++++++++++++++++++++--------------- pypeit/images/pypeitimage.py | 16 ++++++++- pypeit/pypeit.py | 59 +++++++++++++++++++------------- pypeit/scripts/run_pypeit.py | 2 +- pypeit/spec2dobj.py | 9 ++--- 6 files changed, 97 insertions(+), 63 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index aa4f54b2af..7d1327c81e 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -108,9 +108,6 @@ class TraceAlignment: The parameters used for the align traces det (:obj:`int`, optional): Detector number - binning (:obj:`str`, optional): - Detector binning in comma separated numbers for the - spectral and spatial binning. qa_path (:obj:`str`, optional): Directory for QA plots msbpm (`numpy.ndarray`_, optional): @@ -124,13 +121,12 @@ class TraceAlignment: slits (:class:`~pypeit.slittrace.SlitTraceSet`): Slit edge traces. """ - def __init__(self, rawalignimg, slits, spectrograph, alignpar, det=1, - binning=None, qa_path=None, msbpm=None): + def __init__(self, rawalignimg, slits, spectrograph, alignpar, det=1, qa_path=None, + msbpm=None): # Defaults self.spectrograph = spectrograph self.PYP_SPEC = spectrograph.name - self.binning = binning # Alignment parameters self.alignpar = alignpar diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 3af2879056..b6f1630664 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -52,7 +52,7 @@ class Calibrations: qadir (:obj:`str`, optional): Path for quality assessment output. If not provided, no QA plots are saved. - reuse (:obj:`bool`, optional): + reuse_calibs (:obj:`bool`, optional): Instead of reprocessing them, load existing calibration files from disk if they exist. show (:obj:`bool`, optional): @@ -73,7 +73,7 @@ class Calibrations: Path to write the output calibrations. qa_path (`Path`_): Path to write the QA. - reuse (:obj:`bool`): + reuse_calibs (:obj:`bool`): See instantiation arguments. show (:obj:`bool`): See instantiation arguments. @@ -131,7 +131,7 @@ def get_instance(fitstbl, par, spectrograph, caldir, **kwargs): return calibclass(fitstbl, par, spectrograph, caldir, **kwargs) def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, - reuse=False, show=False, user_slits=None): + reuse_calibs=False, show=False, user_slits=None): # Check the types # TODO -- Remove this None option once we have data models for all the Calibrations @@ -149,7 +149,7 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.spectrograph = spectrograph # Calibrations - self.reuse = reuse + self.reuse_calibs = reuse_calibs self.calib_dir = Path(caldir).resolve() if not self.calib_dir.exists(): self.calib_dir.mkdir(parents=True) @@ -291,7 +291,7 @@ def get_arc(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if arc_file.exists() and self.reuse: + if arc_file.exists() and self.reuse_calibs: self.msarc = buildimage.ArcImage.from_file(arc_file) return self.msarc @@ -336,7 +336,7 @@ def get_tiltimg(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if tilt_file.exists() and self.reuse: + if tilt_file.exists() and self.reuse_calibs: self.mstilt = buildimage.TiltImage.from_file(tilt_file) return self.mstilt @@ -385,7 +385,7 @@ def get_align(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if align_file.exists() and self.reuse: + if align_file.exists() and self.reuse_calibs: self.alignments = alignframe.Alignments.from_file(align_file) self.alignments.is_synced(self.slits) return self.alignments @@ -398,16 +398,10 @@ def get_align(self): dark=self.msdark, calib_dir=self.calib_dir, setup=setup, calib_id=calib_id) - # Extract some header info needed by the algorithm - # TODO: There seems like there are a number of ways of getting this - # without having to re-read the file. E.g., can TraceAlignments pull it - # directly from msalign? - binning = self.spectrograph.get_meta_value(raw_files[0], 'binning') - # Instantiate # TODO: From JFH: Do we need the bpm here? Check that this was in the previous code. alignment = alignframe.TraceAlignment(msalign, self.slits, self.spectrograph, - self.par['alignment'], det=self.det, binning=binning, + self.par['alignment'], det=self.det, qa_path=self.qa_path, msbpm=self.msbpm) self.alignments = alignment.run(show=self.show) self.alignments.to_file() @@ -441,7 +435,7 @@ def get_bias(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if bias_file.exists() and self.reuse: + if bias_file.exists() and self.reuse_calibs: self.msbias = buildimage.BiasImage.from_file(bias_file) return self.msbias @@ -483,7 +477,7 @@ def get_dark(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if dark_file.exists() and self.reuse: + if dark_file.exists() and self.reuse_calibs: self.msdark = buildimage.DarkImage.from_file(dark_file) return self.msdark @@ -577,7 +571,7 @@ def get_flats(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if flat_file.exists() and self.reuse: + if flat_file.exists() and self.reuse_calibs: self.flatimages = flatfield.FlatImages.from_file(flat_file) self.flatimages.is_synced(self.slits) # Load user defined files @@ -724,7 +718,7 @@ def get_slits(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if slits_file.exists() and self.reuse: + if slits_file.exists() and self.reuse_calibs: self.slits = slittrace.SlitTraceSet.from_file(slits_file) self.slits.mask = self.slits.mask_init.copy() if self.user_slits is not None: @@ -736,7 +730,7 @@ def get_slits(self): edges_file = Path(edgetrace.EdgeTraceSet.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() # If so, reuse it? - if edges_file.exists() and self.reuse: + if edges_file.exists() and self.reuse_calibs: # Yep! Load it and parse it into slits. self.slits = edgetrace.EdgeTraceSet.from_file(edges_file).get_slits() # Write the slits calibration file @@ -830,7 +824,7 @@ def get_wv_calib(self): calib_dir=self.calib_dir)).resolve() # If it exists and we want to reuse it, do so: - if wvcalib_file.exists() and self.reuse: + if wvcalib_file.exists() and self.reuse_calibs: self.wv_calib = wavecalib.WaveCalib.from_file(wvcalib_file) self.wv_calib.chk_synced(self.slits) self.slits.mask_wvcalib(self.wv_calib) @@ -900,7 +894,7 @@ def get_tilts(self): tilts_file = Path(wavetilts.WaveTilts.construct_file_name(calib_key, calib_dir=self.calib_dir)).resolve() - if tilts_file.exists() and self.reuse: + if tilts_file.exists() and self.reuse_calibs: self.wavetilts = wavetilts.WaveTilts.from_file(tilts_file) self.wavetilts.is_synced(self.slits) self.slits.mask_wavetilts(self.wavetilts) @@ -998,8 +992,9 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex The detector/mosaic of the association. must_exist (:obj:`bool`, optional): If True, only *existing* calibration frames in the association - are included. If False, the nominal set of calibration file - names are returned. + are included. If False, the nominal set of processed + calibration frame file names are returned, regardless of whether + or not they exist. subset (`numpy.ndarray`_, optional): A boolean array selecting a subset of rows from ``fitstbl`` for output. @@ -1010,9 +1005,9 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex proc_only (:obj:`bool`, optional): If True, only return a dictionary with the names of the processed calibration frames. The dictionary sets the - calibration directory to CALIBDIR, and the other keys are the + calibration directory to ``DIR``, and the other keys are the capitalized versions of the calibration type keywords; e.g., - dict['ARC'] is the processed arc frame. This parameter is + ``asn['ARC']`` is the processed arc frame. This parameter is mutually exclusive with ``include_science``; if both are true, ``proc_only`` takes precedence. @@ -1029,6 +1024,7 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex msgs.warn('Requested to include the science/standard frames and to only return the ' 'processed calibration frames. Ignoring former request.') + # Set the calibrations path _caldir = str(Path(caldir).resolve()) # This defines the classes used by each frametype that results in an @@ -1051,6 +1047,7 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex asn = {} setups = fitstbl.unique_configurations(copy=True, rm_none=True) if setup not in setups: + msgs.warn(f'Requested setup {setup} is invalid. Choose from {",".join(setups)}.') return asn # Subset to output @@ -1059,14 +1056,17 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex in_setup = fitstbl.find_configuration(setup) & subset if not any(in_setup): + # There are no frames in this configuration return asn # Find all the frames in this calibration group in_grp = fitstbl.find_calib_group(calib_ID) & in_setup if not any(in_grp): + # There are no frames in this calibration group return asn - # Iterate through each frame type + # Iterate through each frame type and add the raw and processed + # calibration frames for frametype, calib_classes in frame_calibrations.items(): indx = fitstbl.find_frames(frametype) & in_grp if not any(indx): @@ -1083,23 +1083,35 @@ def get_association(fitstbl, spectrograph, caldir, setup, calib_ID, det, must_ex = [str(calib_class.construct_file_name(calib_key, calib_dir=_caldir)) for calib_class in frame_calibrations[frametype]] if must_exist: + # Only include the processed calibration frames found on disk asn[frametype]['proc'] \ = [file for file in asn[frametype]['proc'] if Path(file).exists()] if proc_only: + # Trim down the dictionary to only include the calibration directory + # and the processed calibration frames. This is a bit of a hack so + # that this function can be used to construct some of the header + # keys for the spec2d files. files = {} for key, val in asn.items(): if not isinstance(val, dict) or 'proc' not in val: continue for file in val['proc']: _file = Path(file).resolve() + # NOTE: This assumes the calib_type (i.e., the class + # attribute of the processed calibration frame) is the first + # element of the output file name. If we change the + # calibration frame naming convention, this will need to be + # updated. calib_type = _file.name.split('_')[0].upper() files['DIR'] = str(_file.parent) files[calib_type] = _file.name return files if include_science: - # Add any science and standard (and sky?) frames + # Include the raw science and standard frames associated with this + # calibration group. This does *not* include any processed + # spec2d/spec1d file names. for frametype in ['science', 'standard']: indx = fitstbl.find_frames(frametype) & in_grp if not any(indx): diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index eecbf5aa4a..fb9c7d9bbb 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -702,6 +702,11 @@ def sub(self, other): - the detector from the first image (``self``) is used for the returned image and the detector for the ``other`` image is *ignored* + - if the spatial flexure is defined for the first image, it is + propagated regardless of the value for the 2nd image. If it is + also defined for the 2nd image and the flexure is different from + the first image, a warning is issued. If the flexure is only + defined for the 2nd image, it is ignored. Args: other (:class:`~pypeit.images.pypeitimage.PypeItImage`): @@ -776,6 +781,13 @@ def sub(self, other): # TODO: Instead raise an error if they're not the same new_units = self.units if self.units == other.units else None + # Spatial flexure + spat_flexure = self.spat_flexure + if other.spat_flexure is not None and spat_flexure is not None \ + and other.spat_flexure != spat_flexure: + msgs.warn(f'Spatial flexure different for images being subtracted ({spat_flexure} ' + f'vs. {other.spat_flexure}). Adopting {spat_flexure}.') + # Create the new image. # TODO: We should instead *copy* the detector object; otherwise, it's # possible that it will be shared between multiple images. Nominally, @@ -784,7 +796,8 @@ def sub(self, other): new_pypeitImage = PypeItImage(newimg, ivar=new_ivar, nimg=new_nimg, rn2img=new_rn2, base_var=new_base, img_scale=new_img_scale, fullmask=new_fullmask, detector=self.detector, - PYP_SPEC=new_spec, units=new_units) + spat_flexure=spat_flexure, PYP_SPEC=new_spec, + units=new_units) # Files if self.files is not None and other.files is not None: @@ -844,6 +857,7 @@ def _base_header(self, hdr=None): # Return return _hdr + class PypeItCalibrationImage(PypeItImage, CalibFrame): """ Abstract base class used with PypeIt calibration images. diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 3f6427756a..1ef62db3c8 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -61,7 +61,7 @@ class PypeIt: overwrite (:obj:`bool`, optional): Flag to overwrite any existing files/directories. - reuse (:obj:`bool`, optional): + reuse_calibs (:obj:`bool`, optional): Reuse any pre-existing calibration files logname (:obj:`str`, optional): The name of an ascii log file with the details of the @@ -83,7 +83,7 @@ class PypeIt: fitstbl (:obj:`pypeit.metadata.PypeItMetaData`): holds the meta info """ - def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse=False, logname=None, + def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse_calibs=False, logname=None, show=False, redux_path=None, calib_only=False): # Set up logging @@ -161,8 +161,8 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse=False, lognam self.overwrite = overwrite # Currently the runtime argument determines the behavior for - # reusin calibrations - self.reuse = reuse + # reusing calibrations + self.reuse_calibs = reuse_calibs self.show = show # Set paths @@ -296,7 +296,7 @@ def calib_all(self): # Instantiate Calibrations class self.caliBrate = calibrations.Calibrations.get_instance( self.fitstbl, self.par['calibrations'], self.spectrograph, - self.calibrations_path, qadir=self.qa_path, reuse=self.reuse, + self.calibrations_path, qadir=self.qa_path, reuse_calibs=self.reuse_calibs, show=self.show, user_slits=slittrace.merge_user_slit(self.par['rdx']['slitspatnum'], self.par['rdx']['maskIDs'])) @@ -679,7 +679,7 @@ def calib_one(self, frames, det): caliBrate = calibrations.Calibrations.get_instance( self.fitstbl, self.par['calibrations'], self.spectrograph, self.calibrations_path, qadir=self.qa_path, - reuse=self.reuse, show=self.show, + reuse_calibs=self.reuse_calibs, show=self.show, user_slits=slittrace.merge_user_slit( self.par['rdx']['slitspatnum'], self.par['rdx']['maskIDs'])) #slitspat_num=self.par['rdx']['slitspatnum']) @@ -755,20 +755,15 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): flatimages=self.caliBrate.flatimages, slits=self.caliBrate.slits, ignore_saturation=False) + + # NOTE: If the spatial flexure exists for sciImg, the subtraction + # function propagates that to the subtracted image, ignoring any + # spatial flexure determined for the background image. sciImg = sciImg.sub(bgimg) - # TODO: The spatial flexure is not copied to the PypeItImage object if - # the image (science or otherwise) is from a combination of multiple - # frames. Is that okay for this usage? - # Flexure - spat_flexure_shift = None - if (self.objtype == 'science' - and self.par['scienceframe']['process']['spat_flexure_correct']) or \ - (self.objtype == 'standard' - and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): - spat_flexure_shift = sciImg.spat_flexure - initial_skymask = self.load_skyregions(sciImg.files[0], frames[0], spat_flexure_shift, - initial_slits=self.spectrograph.pypeline != 'IFU') + # Build the initial sky mask + initial_skymask = self.load_skyregions(initial_slits=self.spectrograph.pypeline != 'IFU', + scifile=sciImg.files[0], frame=frames[0]) # Deal with manual extraction row = self.fitstbl[frames[0]] @@ -796,7 +791,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): # Return return initial_sky, sobjs_obj, sciImg, objFind - def load_skyregions(self, scifile, frame, spat_flexure, initial_slits=False): + def load_skyregions(self, initial_slits=False, scifile=None, frame=None): """ Generate or load sky regions, if defined by the user. @@ -811,9 +806,9 @@ def load_skyregions(self, scifile, frame, spat_flexure, initial_slits=False): user_regions = :25,75: The first and last 25% of all slits are used as sky. If the user has - used the pypeit_skysub_regions GUI to generate a sky mask for a given - frame, this can be searched for and loaded by setting the parameter to - ``user``: + used the ``pypeit_skysub_regions`` GUI to generate a sky mask for a + given frame, this can be searched for and loaded by setting the + parameter to ``user``: .. code-block:: ini @@ -823,8 +818,16 @@ def load_skyregions(self, scifile, frame, spat_flexure, initial_slits=False): Parameters ---------- - frame : :obj:`int` - The index of the frame used to set the basename + initial_slits : :obj:`bool`, optional + Flag to use the initial slits before any tweaking based on the + slit-illumination profile; see + :func:`~pypeit.slittrace.SlitTraceSet.select_edges`. + scifile : :obj:`str`, optional + The file name used to define the user-based sky regions. Only used + if ``user_regions = user``. + frame : :obj:`int`, optional + The index of the frame used to construct the calibration key. Only + used if ``user_regions = user``. Returns ------- @@ -855,6 +858,14 @@ def load_skyregions(self, scifile, frame, spat_flexure, initial_slits=False): msgs.info(f'Loading SkyRegions file: {regfile}') return buildimage.SkyRegions.from_file(sky_region_file).image.astype(bool) + # Flexure + spat_flexure = None + if (self.objtype == 'science' + and self.par['scienceframe']['process']['spat_flexure_correct']) or \ + (self.objtype == 'standard' + and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): + spat_flexure = sciImg.spat_flexure + skyregtxt = self.par['reduce']['skysub']['user_regions'] if isinstance(skyregtxt, list): skyregtxt = ",".join(skyregtxt) diff --git a/pypeit/scripts/run_pypeit.py b/pypeit/scripts/run_pypeit.py index 21a993afac..f6e72aaabb 100644 --- a/pypeit/scripts/run_pypeit.py +++ b/pypeit/scripts/run_pypeit.py @@ -95,7 +95,7 @@ def main(args): # Instantiate the main pipeline reduction object pypeIt = pypeit.PypeIt(args.pypeit_file, verbosity=args.verbosity, - reuse=np.invert(args.do_not_reuse_calibs), + reuse_calibs=np.invert(args.do_not_reuse_calibs), overwrite=args.overwrite, redux_path=args.redux_path, calib_only=args.calib_only, diff --git a/pypeit/spec2dobj.py b/pypeit/spec2dobj.py index 930512a653..41c3500b35 100644 --- a/pypeit/spec2dobj.py +++ b/pypeit/spec2dobj.py @@ -109,8 +109,9 @@ class Spec2DObj(datamodel.DataContainer): 'head0' # Raw header ] + # TODO: Allow for **kwargs here? @classmethod - def from_file(cls, file, detname, **kwargs): + def from_file(cls, file, detname, chk_version=True): """ Override base-class :func:`~pypeit.datamodel.DataContainer.from_file` to specify detector to read. @@ -121,8 +122,8 @@ def from_file(cls, file, detname, **kwargs): detname (:obj:`str`): The string identifier for the detector or mosaic used to select the data that is read. - **kwargs: - Passed directly to :func:`from_hdu`. + chk_version (:obj:`bool`, optional): + If False, allow a mismatch in datamodel to proceed Returns: :class:`~pypeit.spec2dobj.Spec2DObj`: 2D spectra object. @@ -132,7 +133,7 @@ def from_file(cls, file, detname, **kwargs): detnames = np.unique([h.name.split('-')[0] for h in hdu[1:]]) if detname not in detnames: msgs.error(f'Your --det={detname} is not available. \n Choose from: {detnames}') - return cls.from_hdu(hdu, detname, **kwargs) + return cls.from_hdu(hdu, detname, chk_version=chk_version) # TODO: Allow for **kwargs here? @classmethod From 53073069c155a66f8733e999fcbddff5e4f56bf1 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 20:09:56 +0100 Subject: [PATCH 167/308] add todo --- pypeit/core/datacube.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ee9ad68478..300c8ed5e7 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1497,6 +1497,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): waveimg = spec2DObj.waveimg bpmmask = spec2DObj.bpmmask + # TODO :: Need to include the spectral flexure correction here. + waveimg = correct_spec_flexure(waveimg) + # Grab the slit edges slits = spec2DObj.slits From 576e3482d8e9226b734e8b3859a84553c59cebc0 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 3 Apr 2023 12:39:50 -0700 Subject: [PATCH 168/308] debug align paths --- pypeit/alignframe.py | 15 ++++++++------- pypeit/calibrations.py | 2 ++ 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/pypeit/alignframe.py b/pypeit/alignframe.py index 7d1327c81e..20dea12398 100644 --- a/pypeit/alignframe.py +++ b/pypeit/alignframe.py @@ -250,13 +250,14 @@ def run(self, show=False): if show: show_alignment(self.rawalignimg.image, align_traces=align_traces, slits=self.slits) - return Alignments(alignframe=self.rawalignimg.image, - nspec=self.nspec, - nalign=align_traces.shape[1], - nslits=self.nslits, - traces=align_traces, - PYP_SPEC=self.PYP_SPEC, - spat_id=self.slits.spat_id) + # Build the alignment calibration frame + align = Alignments(alignframe=self.rawalignimg.image, nspec=self.nspec, + nalign=align_traces.shape[1], nslits=self.nslits, traces=align_traces, + PYP_SPEC=self.PYP_SPEC, spat_id=self.slits.spat_id) + # Copy the internals from the processed alignment image + align.copy_calib_internals(self.rawalignimg) + # Return + return align def show_alignment(alignframe, align_traces=None, slits=None, clear=False): diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index b6f1630664..70b4adf8a0 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -404,6 +404,8 @@ def get_align(self): self.par['alignment'], det=self.det, qa_path=self.qa_path, msbpm=self.msbpm) self.alignments = alignment.run(show=self.show) + # NOTE: The alignment object inherets the calibration frame naming from + # the msalign image. self.alignments.to_file() return self.alignments From c365ee90ee202aaba9f4de20e8e1c1522ff2cae4 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 3 Apr 2023 13:24:51 -0700 Subject: [PATCH 169/308] PR Comments --- pypeit/core/datacube.py | 17 +++--- pypeit/core/flux_calib.py | 105 ++++++++++++++++++++++++++------------ pypeit/core/telluric.py | 18 +++++-- pypeit/par/pypeitpar.py | 28 +++++----- pypeit/sensfunc.py | 8 +-- 5 files changed, 113 insertions(+), 63 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 451d43f91d..5729ea3448 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -18,9 +18,8 @@ from pypeit import msgs from pypeit import alignframe, datamodel, flatfield, io, masterframe, specobj, spec2dobj, utils -from pypeit.core.flux_calib import load_extinction_data, extinction_correction, fit_zeropoint, get_standard_spectrum, ZP_UNIT_CONST, PYPEIT_FLUX_SCALE from pypeit.core.flexure import calculate_image_phase -from pypeit.core import coadd, extract, findobj_skymask, parse, skysub +from pypeit.core import coadd, extract, findobj_skymask, flux_calib, parse, skysub from pypeit.core.procimg import grow_mask from pypeit.spectrographs.util import load_spectrograph @@ -1027,7 +1026,7 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bin """ # Add the unit of flux to the header if fluxcal: - hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") + hdr['FLUXUNIT'] = (flux_calib.PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") else: hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") @@ -1196,19 +1195,19 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): Nlam_ivar_star *= grat_corr**2 # Read in some information above the standard star - std_dict = get_standard_spectrum(star_type=senspar['star_type'], + std_dict = flux_calib.get_standard_spectrum(star_type=senspar['star_type'], star_mag=senspar['star_mag'], ra=star_ra, dec=star_dec) # Calculate the sensitivity curve zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm =\ - fit_zeropoint(wave.value, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, + flux_calib.fit_zeropoint(wave.value, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, mask_hydrogen_lines=senspar['mask_hydrogen_lines'], mask_helium_line=senspar['mask_helium_lines'], - balm_mask_wid=senspar['UVIS']['balm_mask_wid'], + hydrogen_mask_wid=senspar['hydrogen_mask_wid'], nresln=senspar['UVIS']['nresln'], resolution=senspar['UVIS']['resolution'], trans_thresh=senspar['UVIS']['trans_thresh'], polyorder=senspar['polyorder'], polycorrect=senspar['UVIS']['polycorrect'], polyfunc=senspar['UVIS']['polyfunc']) wgd = np.where(zeropoint_fit_gpm) - sens = np.power(10.0, -0.4 * (zeropoint_fit[wgd] - ZP_UNIT_CONST)) / np.square(wave[wgd]) + sens = np.power(10.0, -0.4 * (zeropoint_fit[wgd] - flux_calib.ZP_UNIT_CONST)) / np.square(wave[wgd]) flux_spline = interp1d(wave[wgd], sens, kind='linear', bounds_error=False, fill_value="extrapolate") # If a reference image has been set, check that it exists @@ -1481,10 +1480,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): longitude = spec.telescope['longitude'] latitude = spec.telescope['latitude'] airmass = spec2DObj.head0[spec.meta['airmass']['card']] - extinct = load_extinction_data(longitude, latitude, senspar['UVIS']['extinct_file']) + extinct = flux_calib.load_extinction_data(longitude, latitude, senspar['UVIS']['extinct_file']) # extinction_correction requires the wavelength is sorted wvsrt = np.argsort(wave_ext) - ext_corr = extinction_correction(wave_ext[wvsrt] * units.AA, airmass, extinct) + ext_corr = flux_calib.extinction_correction(wave_ext[wvsrt] * units.AA, airmass, extinct) # Grating correction grat_corr = 1.0 if cubepar['grating_corr']: diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index ed751f9316..c30eb2d016 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -602,7 +602,7 @@ def find_standard(specobj_list): def sensfunc(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, longitude, latitude, extinctfilepar, ech_orders=None, mask_hydrogen_lines=True, mask_helium_lines=False, - polyorder=4, balm_mask_wid=10.0, nresln=20., resolution=3000., + polyorder=4, hydrogen_mask_wid=10.0, nresln=20., resolution=3000., trans_thresh=0.9,polycorrect=True, polyfunc=False, debug=False): """ Function to generate the sensitivity function. This function fits @@ -687,7 +687,7 @@ def sensfunc(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, fit_zeropoint(wave_arr[:,iord], Nlam_star, Nlam_star_ivar, gpm_star, std_dict, mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, polyorder=polyorder, - balm_mask_wid=balm_mask_wid, nresln=nresln, resolution=resolution, trans_thresh=trans_thresh, + hydrogen_mask_wid=hydrogen_mask_wid, nresln=nresln, resolution=resolution, trans_thresh=trans_thresh, polycorrect=polycorrect, polyfunc=polyfunc, debug=debug) # Calculate the minimum and maximum wavelength for this order wave_min[iord] = wave_arr[wave_arr[:,iord] > 1.0, iord].min() @@ -864,7 +864,7 @@ def counts2Nlam(wave, counts, counts_ivar, counts_mask, exptime, airmass, longit def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, mask_hydrogen_lines=True, mask_helium_lines=False, - polyorder=4, balm_mask_wid=10.0, + polyorder=4, hydrogen_mask_wid=10.0, nresln=20., resolution=3000., trans_thresh=0.9, polycorrect=True, polyfunc=False, debug=False): @@ -890,10 +890,10 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, If True, mask stellar hydrogen absorption lines before fitting sensitivity function. Default = True mask_helium_lines (bool, optional): If True, mask stellar helium absorption lines before fitting sensitivity function. Default = False - balm_mask_wid (float, optional): - Parameter describing the width of the mask for or stellar absorption lines (i.e. mask_hydrogen_lines=True). A region - equal to balm_mask_wid*resln is masked where resln is the estimate for the spectral resolution in pixels - per resolution element. + hydrogen_mask_wid (float, optional): + Parameter describing the width of the mask for or stellar absorption lines (`i.e.`, ``mask_hydrogen_lines=True``) + in Angstroms. A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked. + Default = 10A polycorrect (bool, optional): Whether you want to interpolate the zeropoint with polynomial in the stellar absortion line regions before fitting with the bspline @@ -942,14 +942,14 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, mask_bad, mask_recomb, mask_tell = get_mask(wave, Nlam_star, Nlam_ivar_star, gpm_star, mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, - mask_telluric=True, balm_mask_wid=balm_mask_wid, + mask_telluric=True, hydrogen_mask_wid=hydrogen_mask_wid, trans_thresh=trans_thresh) # Get zeropoint zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm = standard_zeropoint( wave, Nlam_star, Nlam_ivar_star, mask_bad, flux_true, mask_recomb=mask_recomb, mask_tell=mask_tell, maxiter=35, upper=3, lower=3, polyorder=polyorder, - balm_mask_wid=balm_mask_wid, nresln=nresln, resolution=resolution, + balm_mask_wid=hydrogen_mask_wid, nresln=nresln, resolution=resolution, polycorrect=polycorrect, polyfunc=polyfunc, debug=debug) if debug: @@ -966,8 +966,8 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, def get_mask(wave_star, flux_star, ivar_star, mask_star, mask_hydrogen_lines=True, mask_helium_lines=False, - mask_telluric=True, balm_mask_wid=10., trans_thresh=0.9): - """ + mask_telluric=True, hydrogen_mask_wid=10., trans_thresh=0.9): + r""" Generate a set of masks from your observed standard spectrum. e.g. Balmer absorption @@ -983,15 +983,19 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, whether you need to mask Hydrogen recombination line region. If False, the returned msk_star are all good. mask_hydrogen_lines: bool, optional - whether you need to mask hydrogen absorption lines + whether you need to mask hydrogen absorption lines, mask width set + by ``hydrogen_mask_wid`` mask_helium_lines: bool, optional - whether you need to mask hydrogen absorption lines + whether you need to mask hydrogen absorption lines, mask width set + to :math:`0.5 \times` ``hydrogen_mask_wid`` mask_telluric: bool, optional - whether you need to mask telluric region. If False, the returned msk_tell are all good. - balm_mask_wid: float - in units of angstrom - Mask parameter for Balmer absorption. A region equal to - balm_mask_wid is masked. + whether you need to mask telluric region. If False, the returned + msk_tell are all good. + hydrogen_mask_wid: float, optional + in units of angstrom + Mask parameter for hydrogen recombination absorption lines. A region + equal to ``hydrogen_mask_wid`` on either side of the line center is + masked. trans_thresh: float, optional parameter for selecting telluric regions. @@ -1026,23 +1030,13 @@ def get_mask(wave_star, flux_star, ivar_star, mask_star, if mask_hydrogen_lines: mask_recomb = mask_stellar_hydrogen( - wave_star, mask_width=balm_mask_wid, mask_star=mask_recomb + wave_star, mask_width=hydrogen_mask_wid, mask_star=mask_recomb ) if mask_helium_lines: - # Mask HeII - msgs.info(" Masking HeII lines") - # Prominent HeII lines not overlapped by hydrogen lines: - # Vacuum wavelengths from Hubeney & Milhas (2015) - # "Theory of Stellar Atmospheres", p. 191. - lines_heII = np.array([4687.2, # 3 -> 4 - 4542.9, # 4 -> 9 - 5413.1, # 4 -> 7 - 10126.6]) # 4 -> 5 - for line_heII in lines_heII: - iheII = np.abs(wave_star - line_heII) < balm_mask_wid - mask_recomb[iheII] = False - + mask_recomb = mask_stellar_helium( + wave_star, mask_width=hydrogen_mask_wid / 2.0, mask_star=mask_recomb + ) if mask_telluric: ## Mask telluric region in the optical @@ -1100,7 +1094,7 @@ def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): Wavelength of the stellar spectrum shape (nspec,) or (nspec, nimgs) mask_width (float, optional): - width to mask around each line centers in Angstroms + width to mask on either side of each line center in Angstroms mask_star (`numpy.ndarray`_, optional): Incoming star mask to which to add the hydrogen lines (Default: None) @@ -1157,6 +1151,51 @@ def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): return mask_star +def mask_stellar_helium(wave_star, mask_width=5.0, mask_star=None): + """ + Routine to mask stellar helium recombination lines + + ..note :: + This function is pulled out separate from :func:`get_mask` because + it is used in the ``telluric`` module, independent of the remainder + of the functionality in :func:`get_mask`. + + Args: + wave_star (`numpy.ndarray`_): + Wavelength of the stellar spectrum + shape (nspec,) or (nspec, nimgs) + mask_width (float, optional): + width to mask on either side of each line center in Angstroms + mask_star (`numpy.ndarray`_, optional): + Incoming star mask to which to add the ionized helium lines + (Default: None) + + Returns: + `numpy.ndarray`_: bool mask. + same shape as wave_star, True=Good (i.e. does not hit a stellar absorption line) + """ + + if mask_star is None: + mask_star = np.ones_like(wave_star, dtype=bool) + # Mask Balmer, Paschen, Brackett, and Pfund recombination lines + msgs.info("Masking ionized helium recombination lines") + + # Mask HeII + msgs.info(" Masking HeII lines") + # Prominent HeII lines not overlapped by hydrogen lines: + # Vacuum wavelengths from Hubeney & Milhas (2015) + # "Theory of Stellar Atmospheres", p. 191. + lines_heII = np.array([4687.2, # 3 -> 4 + 4542.9, # 4 -> 9 + 5413.1, # 4 -> 7 + 10126.6]) # 4 -> 5 + for line_heII in lines_heII: + iheII = np.abs(wave_star - line_heII) < mask_width + mask_star[iheII] = False + + return mask_star + + # These are physical limits on the allowed values of the zeropoint in magnitudes def Nlam_to_Flam(wave, zeropoint, zp_min=5.0, zp_max=30.0): diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index d1ed0494e9..f067716193 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -1182,7 +1182,7 @@ def eval_poly_model(theta, obj_dict): def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, std_dict, telgridfile, ech_orders=None, polyorder=8, mask_hydrogen_lines=True, - resln_guess=None, resln_frac_bounds=(0.5, 1.5), + mask_helium_lines=False, hydrogen_mask_wid=10., resln_guess=None, resln_frac_bounds=(0.5, 1.5), delta_coeff_bounds=(-20.0, 20.0), minmax_coeff_bounds=(-5.0, 5.0), sn_clip=30.0, ballsize=5e-4, only_orders=None, maxiter=3, lower=3.0, upper=3.0, tol=1e-3, popsize=30, recombination=0.7, polish=True, disp=False, @@ -1225,8 +1225,14 @@ def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, If passed, provides the true order numbers for the spectra provided. polyorder : :obj:`int`, optional, default = 8 Polynomial order for the sensitivity function fit. - mask_hydrogen_lines : :obj:`bool`, optional, default=True - Mask proiminent hydrogen stellar absorption lines? + mask_hydrogen_lines : :obj:`bool`, optional + If True, mask stellar hydrogen absorption lines before fitting sensitivity function. Default = True + mask_helium_lines : :obj:`bool`, optional + If True, mask stellar helium absorption lines before fitting sensitivity function. Default = False + hydrogen_mask_wid : :obj:`float`, optional + Parameter describing the width of the mask for or stellar absorption lines (`i.e.`, ``mask_hydrogen_lines=True``) + in Angstroms. A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked. + Default = 10A resln_guess : :obj:`float`, optional A guess for the resolution of your spectrum expressed as lambda/dlambda. The resolution is fit explicitly as part of the @@ -1325,7 +1331,11 @@ def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, debug=debug_init) # Optionally, mask prominent stellar absorption features - mask_tot = (flux_calib.mask_stellar_hydrogen(wave) & counts_mask) if mask_hydrogen_lines else counts_mask + mask_tot = flux_calib.get_mask( + wave, counts, counts_ivar, counts_mask, mask_telluric=False, + mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, + hydrogen_mask_wid=hydrogen_mask_wid, + ) # Since we are fitting a sensitivity function, first compute counts per second per angstrom. TelObj = Telluric(wave, counts, counts_ivar, mask_tot, telgridfile, obj_params, diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index c6cc28289f..eced9d6f76 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1583,7 +1583,7 @@ class SensFuncPar(ParSet): """ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_det=None, algorithm=None, UVIS=None, IR=None, polyorder=None, star_type=None, star_mag=None, star_ra=None, - star_dec=None, mask_hydrogen_lines=None, mask_helium_lines=None): + star_dec=None, mask_hydrogen_lines=None, mask_helium_lines=None, hydrogen_mask_wid=None): # Grab the parameter names and values from the function arguments args, _, _, values = inspect.getargvalues(inspect.currentframe()) pars = OrderedDict([(k, values[k]) for k in args[1:]]) @@ -1627,9 +1627,9 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ dtypes['algorithm'] = str options['algorithm'] = SensFuncPar.valid_algorithms() descr['algorithm'] = "Specify the algorithm for computing the sensitivity function. The options are: " \ - " (1) UVIS = Should be used for data with lambda < 7000A." \ + r" (1) UVIS = Should be used for data with :math:`\lambda < 7000`A." \ "No detailed model of telluric absorption but corrects for atmospheric extinction." \ - " (2) IR = Should be used for data with lambbda > 7000A." \ + r" (2) IR = Should be used for data with :math:`\lambda > 7000`A." \ "Peforms joint fit for sensitivity function and telluric absorption using HITRAN models." @@ -1664,11 +1664,17 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ defaults['mask_hydrogen_lines'] = True dtypes['mask_hydrogen_lines'] = bool - descr['mask_hydrogen_lines'] = 'Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit' + descr['mask_hydrogen_lines'] = 'Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit. ' \ + 'A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked.' + + defaults['hydrogen_mask_wid'] = 10.0 + dtypes['hydrogen_mask_wid'] = float + descr['hydrogen_mask_wid'] = 'Mask width from line center for hydrogen recombination lines in Angstroms (total mask width is 2x this value).' defaults['mask_helium_lines'] = False dtypes['mask_helium_lines'] = bool - descr['mask_helium_lines'] = 'Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit' + descr['mask_helium_lines'] = 'Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit ' \ + r'A region equal to :math:`0.5 \times` ``hydrogen_mask_wid`` on either side of the line center is masked.' # Instantiate the parameter set super(SensFuncPar, self).__init__(list(pars.keys()), @@ -1685,7 +1691,8 @@ def from_dict(cls, cfg): # Single element parameters parkeys = ['extrap_blu', 'extrap_red', 'samp_fact', 'multi_spec_det', 'algorithm', - 'polyorder', 'star_type', 'star_mag', 'star_ra', 'star_dec', 'mask_hydrogen_lines', 'mask_helium_lines'] + 'polyorder', 'star_type', 'star_mag', 'star_ra', 'star_dec', + 'mask_hydrogen_lines', 'mask_helium_lines', 'hydrogen_mask_wid'] # All parameters, including nested ParSets allkeys = parkeys + ['UVIS', 'IR'] @@ -1722,7 +1729,7 @@ class SensfuncUVISPar(ParSet): For a table with the current keywords, defaults, and descriptions, see :ref:`parameters`. """ - def __init__(self, balm_mask_wid=None, std_file=None, std_obj_id=None, sensfunc=None, extinct_correct=None, + def __init__(self, std_file=None, std_obj_id=None, sensfunc=None, extinct_correct=None, extinct_file=None, telluric_correct=None, telluric=None, polycorrect=None, polyfunc=None, nresln=None, resolution=None, trans_thresh=None): @@ -1738,12 +1745,7 @@ def __init__(self, balm_mask_wid=None, std_file=None, std_obj_id=None, sensfunc= descr = OrderedDict.fromkeys(pars.keys()) - # TODO these masks should be set in Angstroms not pixels!! # These are the UV sensfunc parameters - defaults['balm_mask_wid'] = 10.0 - dtypes['balm_mask_wid'] = float - descr['balm_mask_wid'] = 'Mask width for Balmer lines in Angstroms.' - dtypes['std_file'] = str descr['std_file'] = 'Standard star file to generate sensfunc' @@ -1818,7 +1820,7 @@ def __init__(self, balm_mask_wid=None, std_file=None, std_obj_id=None, sensfunc= @classmethod def from_dict(cls, cfg): k = np.array([*cfg.keys()]) - parkeys = ['balm_mask_wid', 'sensfunc', 'extinct_correct', 'extinct_file', 'telluric_correct', 'std_file', + parkeys = ['sensfunc', 'extinct_correct', 'extinct_file', 'telluric_correct', 'std_file', 'std_obj_id', 'telluric', 'polyfunc','polycorrect', 'nresln', 'resolution', 'trans_thresh'] badkeys = np.array([pk not in parkeys for pk in k]) diff --git a/pypeit/sensfunc.py b/pypeit/sensfunc.py index 74ba3b516c..ec34dced0b 100644 --- a/pypeit/sensfunc.py +++ b/pypeit/sensfunc.py @@ -36,7 +36,7 @@ # TODO Add some QA plots, and plots to the screen if show is set. class SensFunc(datamodel.DataContainer): - """ + r""" Base class for generating sensitivity functions from a standard-star spectrum. @@ -703,7 +703,7 @@ def sensfunc_weights(cls, sensfile, waves, debug=False, extrap_sens=True): class IRSensFunc(SensFunc): - """ + r""" Determine a sensitivity functions from standard-star spectra. Should only be used with NIR spectra (:math:`\lambda > 7000` angstrom). @@ -828,7 +828,7 @@ def eval_zeropoint(self, wave, iorddet): class UVISSensFunc(SensFunc): - """ + r""" Determine a sensitivity functions from standard-star spectra. Should only be used with UVIS spectra (:math:`\lambda < 7000` angstrom). @@ -866,7 +866,7 @@ def compute_zeropoint(self): self.par['UVIS']['extinct_file'], self.meta_spec['ECH_ORDERS'], polyorder=self.par['polyorder'], - balm_mask_wid=self.par['UVIS']['balm_mask_wid'], + hydrogen_mask_wid=self.par['hydrogen_mask_wid'], mask_hydrogen_lines=self.par['mask_hydrogen_lines'], mask_helium_lines=self.par['mask_helium_lines'], nresln=self.par['UVIS']['nresln'], From f09b3d18407a47180b3f7109ec4583c1be6adc78 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 3 Apr 2023 21:40:30 +0100 Subject: [PATCH 170/308] flexcorr --- pypeit/core/datacube.py | 80 +++++++++++++++++++++++++++++++---------- pypeit/core/flexure.py | 4 +-- pypeit/find_objects.py | 3 +- 3 files changed, 65 insertions(+), 22 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 300c8ed5e7..27285a5b77 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -214,8 +214,8 @@ def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pre return np.sum((np.array([coord_altaz.alt.value, coord_altaz.az.value])-datfit)**2) -def dar_correction(wave_arr, coord, obstime, location, pressure, temperature, rel_humidity, - wave_ref=None, numgrid=10): +def correct_dar(wave_arr, coord, obstime, location, pressure, temperature, rel_humidity, + wave_ref=None, numgrid=10): """ Apply a differental atmospheric refraction correction to the input ra/dec. @@ -288,7 +288,7 @@ def dar_correction(wave_arr, coord, obstime, location, pressure, temperature, re return ra_diff, dec_diff -def calc_grating_corr(wave_eval, wave_curr, spl_curr, wave_ref, spl_ref, order=2): +def correct_grating_shift(wave_eval, wave_curr, spl_curr, wave_ref, spl_ref, order=2): """ Using spline representations of the blaze profile, calculate the grating correction that should be applied to the current spectrum (suffix 'curr') relative to the reference spectrum (suffix 'ref'). The grating correction is then evaluated at the wavelength @@ -325,6 +325,20 @@ def calc_grating_corr(wave_eval, wave_curr, spl_curr, wave_ref, spl_ref, order=2 return grat_corr +def correct_spec_flexure(waveimg): + """ Shift the wavelength image + + Args: + waveimg (`numpy.ndarray`_): + A 2D array containing the wavelength of each detector pixel + + Returns: + waveimg_corr (`numpy.ndarray`_): The wavelength image, corrected for spectral flexure + """ + + return waveimg_corr + + def gaussian2D_cube(tup, intflux, xo, yo, dxdz, dydz, sigma_x, sigma_y, theta, offset): """ Fit a 2D Gaussian function to a datacube. This function assumes that each wavelength slice of the datacube is well-fit by a 2D Gaussian. The centre of the Gaussian is allowed @@ -1351,7 +1365,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): blaze_spline = interp1d(blaze_wave, blaze_spec, kind='linear', bounds_error=False, fill_value="extrapolate") # Perform a grating correction - grat_corr = calc_grating_corr(wave.value, blaze_wave_curr, blaze_spline_curr, blaze_wave, blaze_spline) + grat_corr = correct_grating_shift(wave.value, blaze_wave_curr, blaze_spline_curr, blaze_wave, blaze_spline) # Apply the grating correction to the standard star spectrum Nlam_star /= grat_corr Nlam_ivar_star *= grat_corr**2 @@ -1426,7 +1440,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Load it up spec2DObj = spec2dobj.Spec2DObj.from_file(fil, detname) detector = spec2DObj.detector - flexure = None #spec2DObj.sci_spat_flexure + spat_flexure = None #spec2DObj.sci_spat_flexure # Load the header hdr = fits.open(fil)[0].header @@ -1437,6 +1451,11 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Setup for PypeIt imports msgs.reset(verbosity=2) + # Initialise the slit edges + msgs.info("Constructing slit image") + slits = spec2DObj.slits + slitid_img_init = slits.slit_img(pad=0, initial=True, flexure=spat_flexure) + # Try to load the relative scale image, if something other than the default has been provided relScaleImg = relScaleImgDef.copy() if opts['scale_corr'][ff] is not None: @@ -1497,11 +1516,37 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): waveimg = spec2DObj.waveimg bpmmask = spec2DObj.bpmmask + # Correct for spectral flexure using the skysub frame # TODO :: Need to include the spectral flexure correction here. - waveimg = correct_spec_flexure(waveimg) + embed() + ####################################################################### + # Obtain a reference spectrum + sl_ref = flatpar['slit_illum_ref_idx'] + # Calculate the absolute spectral flexure correction for the reference slit + trace_spat = 0.5 * (self.slits_left + self.slits_right) + gd_slits = np.ones(self.slits.nslits, dtype=bool) + flex_list = flexure.spec_flexure_slit_global(self.sciImg, waveimg, global_sky_sep, self.par, + self.slits, self.slitmask, trace_spat, gd_slits, + wv_calib, self.pypeline, self.det) + # This absolute shift is the same for all slits + slitshift = np.ones(slits.nslits) * flex_list[sl_ref]['shift'][0] + # Now loop through all slits to calculate the additional shift relative to the reference slit + for slit_idx, slit_spat in enumerate(slits.spat_id): + onslit_init = (slitid_img_init == slit_spat) + # Construct the spectrum at this slit - # Grab the slit edges - slits = spec2DObj.slits + # Calculate the shift + fdict = spec_flex_shift(slit_specs[slit_idx], sky_spectrum, arx_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft, + spec_fwhm=spec_fwhm, method=method) + slitshift[slit_idx] += + # Rebuild the wavelength image + waveimg_corr = wv_calib.build_waveimg(self.tilts, slits, spec_flexure=slitshift, + spat_flexure=spat_flexure) + # Apply heliocentric correction + + return waveimg_corr + ####################################################################### + waveimg = correct_spec_flexure(waveimg) wave0 = waveimg[waveimg != 0.0].min() # Calculate the delta wave in every pixel on the slit @@ -1521,9 +1566,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Using wavelength solution: wave0={0:.3f}, dispersion={1:.3f} Angstrom/pixel".format(wave0, dwv)) - msgs.info("Constructing slit image") - slitid_img_init = slits.slit_img(pad=0, initial=True, flexure=flexure) - # Obtain the minimum and maximum wavelength of all slits if mnmx_wv is None: mnmx_wv = np.zeros((1, slits.nslits, 2)) @@ -1572,7 +1614,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Astrometric correction will not be performed") # If nothing better was provided, use the slit edges if alignments is None: - left, right, _ = slits.select_edges(initial=True, flexure=flexure) + left, right, _ = slits.select_edges(initial=True, flexure=spat_flexure) locations = [0.0, 1.0] traces = np.append(left[:,None,:], right[:,None,:], axis=1) else: @@ -1581,7 +1623,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Generating RA/DEC image") alignSplines = alignframe.AlignmentSplines(traces, locations, spec2DObj.tilts) raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, - initial=True, flexure=flexure) + initial=True, flexure=spat_flexure) # Perform the DAR correction if wave_ref is None: @@ -1602,8 +1644,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): " Pressure = {0:f} bar".format(pressure) + msgs.newline() + " Temperature = {0:f} deg C".format(temperature) + msgs.newline() + " Humidity = {0:f}".format(rel_humidity)) - ra_corr, dec_corr = dar_correction(waveimg[onslit_gpm], coord, obstime, location, - pressure*units.bar, temperature*units.deg_C, rel_humidity, wave_ref=wave_ref) + ra_corr, dec_corr = correct_dar(waveimg[onslit_gpm], coord, obstime, location, + pressure * units.bar, temperature * units.deg_C, rel_humidity, wave_ref=wave_ref) raimg[onslit_gpm] += ra_corr*np.cos(np.mean(decimg[onslit_gpm]) * np.pi / 180.0) decimg[onslit_gpm] += dec_corr @@ -1620,11 +1662,11 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Calculating relative sensitivity for grating correction") flatimages = flatfield.FlatImages.from_file(flatfile) flatframe = flatimages.illumflat_raw/flatimages.fit2illumflat(slits, frametype='illum', initial=True, - spat_flexure=flexure) + spat_flexure=spat_flexure) # Calculate the relative scale scale_model = flatfield.illum_profile_spectral(flatframe, waveimg, slits, slit_illum_ref_idx=flatpar['slit_illum_ref_idx'], model=None, - skymask=None, trim=flatpar['slit_trim'], flexure=flexure, + skymask=None, trim=flatpar['slit_trim'], flexure=spat_flexure, smooth_npix=flatpar['slit_illum_smooth_npix']) # Apply the relative scale and generate a 1D "spectrum" onslit = waveimg != 0 @@ -1657,8 +1699,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Grating correction grat_corr = 1.0 if cubepar['grating_corr']: - grat_corr = calc_grating_corr(wave_ext[wvsrt], flat_splines[flatfile+"_wave"], flat_splines[flatfile], - blaze_wave, blaze_spline) + grat_corr = correct_grating_shift(wave_ext[wvsrt], flat_splines[flatfile + "_wave"], flat_splines[flatfile], + blaze_wave, blaze_spline) # Sensitivity function sens_func = 1.0 if fluxcal: diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index e7e332e095..1c3c7c1ee1 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -1139,7 +1139,6 @@ def calculate_image_offset(im_ref, image, nfit=3): return xoff + popt[1] - ccorr.shape[0]//2, yoff+popt[2] - ccorr.shape[1]//2 - def sky_em_residuals(wave:np.ndarray, flux:np.ndarray, ivar:np.ndarray, sky_waves:np.ndarray, plot=False, noff=5., nfit_min=20): @@ -1232,7 +1231,8 @@ def sky_em_residuals(wave:np.ndarray, flux:np.ndarray, # Cut on quality m=(diff_err < 0.1) & (diff_err > 0.0) # Return - return dwave[m],diff[m],diff_err[m],los[m],los_err[m] + return dwave[m], diff[m], diff_err[m], los[m], los_err[m] + # TODO -- Consider separating the methods from the DataContainer as per calibrations class MultiSlitFlexure(DataContainer): diff --git a/pypeit/find_objects.py b/pypeit/find_objects.py index b112c06bc3..890dc4a1ff 100644 --- a/pypeit/find_objects.py +++ b/pypeit/find_objects.py @@ -1214,7 +1214,8 @@ def illum_profile_spectral(self, global_sky, skymask=None): ref_idx = self.par['calibrations']['flatfield']['slit_illum_ref_idx'] smooth_npix = self.par['calibrations']['flatfield']['slit_illum_smooth_npix'] gpm = self.sciImg.select_flag(invert=True) - # TODO why is this being done with waveimg instead of the tilts? Is profile really dependent on wavelength? + # Note :: Need to provide wavelength to illum_profile_spectral (not the tilts) so that the + # relative spectral sensitivity is calculated at a given wavelength for all slits simultaneously. scaleImg = flatfield.illum_profile_spectral(self.sciImg.image.copy(), self.waveimg, self.slits, slit_illum_ref_idx=ref_idx, model=global_sky, gpmask=gpm, skymask=skymask, trim=trim, flexure=self.spat_flexure_shift, From 63350a0a7673db42ac8ac10d88d8bbfbec26b911 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 3 Apr 2023 15:17:08 -0700 Subject: [PATCH 171/308] Doc updates --- doc/pypeit_par.rst | 38 +++++++++++++++++++------------------- pypeit/par/pypeitpar.py | 10 +++++----- 2 files changed, 24 insertions(+), 24 deletions(-) diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 2351aad228..a36fbc35ba 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -859,24 +859,25 @@ SensFuncPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.SensFuncPar` -======================= ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -======================= ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== -``IR`` :class:`~pypeit.par.pypeitpar.TelluricPar` .. `TelluricPar Keywords`_ Parameters for the IR sensfunc algorithm -``UVIS`` :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` .. `SensfuncUVISPar Keywords`_ Parameters for the UVIS sensfunc algorithm -``algorithm`` str ``UVIS``, ``IR`` ``UVIS`` Specify the algorithm for computing the sensitivity function. The options are: (1) UVIS = Should be used for data with lambda < 7000A.No detailed model of telluric absorption but corrects for atmospheric extinction. (2) IR = Should be used for data with lambbda > 7000A.Peforms joint fit for sensitivity function and telluric absorption using HITRAN models. -``extrap_blu`` float .. 0.1 Fraction of minimum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the blue direction, i.e. if the standard star spectrumcuts off at wave_min, the sensfunc will be extrapolated to cover down to (1.0-extrap_blu)*wave_min -``extrap_red`` float .. 0.1 Fraction of maximum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the red direction, i.e. if the standard star spectrumcuts off at wave_max, the sensfunc will be extrapolated to cover up to (1.0 + extrap_red)*wave_max -``mask_helium_lines`` bool .. False Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit -``mask_hydrogen_lines`` bool .. True Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit -``multi_spec_det`` list .. .. List of detectors (identified by their string name, like DET01) to splice together for multi-detector instruments (e.g. DEIMOS). It is assumed that there is *no* overlap in wavelength across detectors (might be ok if there is). If entered as a list of integers, they should be converted to the detector name. **Cannot be used with detector mosaics.** -``polyorder`` int, list .. 5 Polynomial order for sensitivity function fitting -``samp_fact`` float .. 1.5 sampling factor to make the wavelength grid for sensitivity function finer or coarser. samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser). -``star_dec`` float .. .. DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent -``star_mag`` float .. .. Magnitude of the standard star (for near-IR mainly) -``star_ra`` float .. .. RA of the standard star. This will override values in the header, i.e. if they are wrong or absent -``star_type`` str .. .. Spectral type of the standard star (for near-IR mainly) -======================= ============================================== ================ =========================== ====================================================================================================================================================================================================================================================================================================================================================================== +======================= ============================================== ================ =========================== =========================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +======================= ============================================== ================ =========================== =========================================================================================================================================================================================================================================================================================================================================================================================== +``IR`` :class:`~pypeit.par.pypeitpar.TelluricPar` .. `TelluricPar Keywords`_ Parameters for the IR sensfunc algorithm +``UVIS`` :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` .. `SensfuncUVISPar Keywords`_ Parameters for the UVIS sensfunc algorithm +``algorithm`` str ``UVIS``, ``IR`` ``UVIS`` Specify the algorithm for computing the sensitivity function. The options are: (1) UVIS = Should be used for data with :math:`\lambda < 7000` A. No detailed model of telluric absorption but corrects for atmospheric extinction. (2) IR = Should be used for data with :math:`\lambda > 7000` A. Peforms joint fit for sensitivity function and telluric absorption using HITRAN models. +``extrap_blu`` float .. 0.1 Fraction of minimum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the blue direction, i.e. if the standard star spectrumcuts off at wave_min, the sensfunc will be extrapolated to cover down to (1.0 - ``extrap_blu``) * ``wave_min`` +``extrap_red`` float .. 0.1 Fraction of maximum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the red direction, i.e. if the standard star spectrumcuts off at wave_max, the sensfunc will be extrapolated to cover up to (1.0 + ``extrap_red``) * ``wave_max`` +``hydrogen_mask_wid`` float .. 10.0 Mask width from line center for hydrogen recombination lines in Angstroms (total mask width is 2x this value). +``mask_helium_lines`` bool .. False Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit A region equal to 0.5 * ``hydrogen_mask_wid`` on either side of the line center is masked. +``mask_hydrogen_lines`` bool .. True Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit. A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked. +``multi_spec_det`` list .. .. List of detectors (identified by their string name, like DET01) to splice together for multi-detector instruments (e.g. DEIMOS). It is assumed that there is *no* overlap in wavelength across detectors (might be ok if there is). If entered as a list of integers, they should be converted to the detector name. **Cannot be used with detector mosaics.** +``polyorder`` int, list .. 5 Polynomial order for sensitivity function fitting +``samp_fact`` float .. 1.5 sampling factor to make the wavelength grid for sensitivity function finer or coarser. samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser). +``star_dec`` float .. .. DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent +``star_mag`` float .. .. Magnitude of the standard star (for near-IR mainly) +``star_ra`` float .. .. RA of the standard star. This will override values in the header, i.e. if they are wrong or absent +``star_type`` str .. .. Spectral type of the standard star (for near-IR mainly) +======================= ============================================== ================ =========================== =========================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -891,7 +892,6 @@ Class Instantiation: :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` ==================== ========== ======= =========== ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= Key Type Options Default Description ==================== ========== ======= =========== ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= -``balm_mask_wid`` float .. 10.0 Mask width for Balmer lines in Angstroms. ``extinct_correct`` bool .. True If ``extinct_correct=True`` the code will use an atmospheric extinction model to extinction correct the data below 10000A. Note that this correction makes no sense if one is telluric correcting and this shold be set to False ``extinct_file`` str .. ``closest`` If ``extinct_file='closest'`` the code will select the PypeIt-included extinction file for the closest observatory (within 5 deg, geographic coordinates) to the telescope identified in ``std_file`` (see :ref:`extinction_correction` for the list of currently included files). If constructing a sesitivity function for a telescope not within 5 deg of a listed observatory, this parameter may be set to the name of one of the listed extinction files. Alternatively, a custom extinction file may be installed in the PypeIt cache using the ``pypeit_install_extinctfile`` script; this parameter may then be set to the name of the custom extinction file. ``nresln`` int, float .. 20 Parameter governing the spacing of the bspline breakpoints in terms of number of resolution elements. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index eced9d6f76..fc7d5dbc81 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1599,7 +1599,7 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ descr['extrap_blu'] = 'Fraction of minimum wavelength coverage to grow the wavelength coverage of the ' \ 'sensitivitity function in the blue direction, i.e. if the standard star spectrum' \ 'cuts off at wave_min, the sensfunc will be extrapolated to cover down to ' \ - ' (1.0-extrap_blu)*wave_min' + ' (1.0 - ``extrap_blu``) * ``wave_min``' defaults['extrap_red'] = 0.1 @@ -1607,7 +1607,7 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ descr['extrap_red'] = 'Fraction of maximum wavelength coverage to grow the wavelength coverage of the ' \ 'sensitivitity function in the red direction, i.e. if the standard star spectrum' \ 'cuts off at wave_max, the sensfunc will be extrapolated to cover up to ' \ - ' (1.0 + extrap_red)*wave_max' + ' (1.0 + ``extrap_red``) * ``wave_max``' defaults['samp_fact'] = 1.5 dtypes['samp_fact'] = float @@ -1627,9 +1627,9 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ dtypes['algorithm'] = str options['algorithm'] = SensFuncPar.valid_algorithms() descr['algorithm'] = "Specify the algorithm for computing the sensitivity function. The options are: " \ - r" (1) UVIS = Should be used for data with :math:`\lambda < 7000`A." \ + r" (1) UVIS = Should be used for data with :math:`\lambda < 7000` A. " \ "No detailed model of telluric absorption but corrects for atmospheric extinction." \ - r" (2) IR = Should be used for data with :math:`\lambda > 7000`A." \ + r" (2) IR = Should be used for data with :math:`\lambda > 7000` A. " \ "Peforms joint fit for sensitivity function and telluric absorption using HITRAN models." @@ -1674,7 +1674,7 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ defaults['mask_helium_lines'] = False dtypes['mask_helium_lines'] = bool descr['mask_helium_lines'] = 'Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit ' \ - r'A region equal to :math:`0.5 \times` ``hydrogen_mask_wid`` on either side of the line center is masked.' + 'A region equal to 0.5 * ``hydrogen_mask_wid`` on either side of the line center is masked.' # Instantiate the parameter set super(SensFuncPar, self).__init__(list(pars.keys()), From 9549cec1cc1426716f2baac286ab14c64c40e158 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 3 Apr 2023 15:27:47 -0700 Subject: [PATCH 172/308] One last catch of masking in the telluric code --- pypeit/core/telluric.py | 13 +++++++------ pypeit/scripts/tellfit.py | 2 ++ 2 files changed, 9 insertions(+), 6 deletions(-) diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index f067716193..68768b8a03 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -1547,7 +1547,8 @@ def qso_telluric(spec1dfile, telgridfile, pca_file, z_qso, telloutfile, outfile, def star_telluric(spec1dfile, telgridfile, telloutfile, outfile, star_type=None, star_mag=None, star_ra=None, star_dec=None, func='legendre', model='exp', polyorder=5, - mask_hydrogen_lines=True, delta_coeff_bounds=(-20.0, 20.0), + mask_hydrogen_lines=True, mask_helium_lines=False, hydrogen_mask_wid=10., + delta_coeff_bounds=(-20.0, 20.0), minmax_coeff_bounds=(-5.0, 5.0), only_orders=None, sn_clip=30.0, maxiter=3, tol=1e-3, popsize=30, recombination=0.7, polish=True, disp=False, debug_init=False, debug=False, show=False): @@ -1599,11 +1600,11 @@ def star_telluric(spec1dfile, telgridfile, telloutfile, outfile, star_type=None, debug=debug_init) # Optionally, mask prominent stellar absorption features - if mask_hydrogen_lines: - inmask = flux_calib.mask_stellar_hydrogen(wave) - mask_tot = inmask & mask - else: - mask_tot = mask + mask_tot = flux_calib.get_mask( + wave, flux, ivar, mask, mask_telluric=False, + mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, + hydrogen_mask_wid=hydrogen_mask_wid, + ) # parameters lowered for testing TelObj = Telluric(wave, flux, ivar, mask_tot, telgridfile, obj_params, init_star_model, diff --git a/pypeit/scripts/tellfit.py b/pypeit/scripts/tellfit.py index ff17638e20..64bf3bf6e9 100644 --- a/pypeit/scripts/tellfit.py +++ b/pypeit/scripts/tellfit.py @@ -176,6 +176,8 @@ def main(args): polyorder=par['telluric']['polyorder'], only_orders=par['telluric']['only_orders'], mask_hydrogen_lines=par['sensfunc']['mask_hydrogen_lines'], + mask_helium_lines=par['sensfunc']['mask_helium_lines'], + hydrogen_mask_wid=par['sensfunc']['hydrogen_masl_wid'], delta_coeff_bounds=par['telluric']['delta_coeff_bounds'], minmax_coeff_bounds=par['telluric']['minmax_coeff_bounds'], maxiter=par['telluric']['maxiter'], From dec2e55f3bdcd62da149c66f10af5eb345a9d4a7 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 3 Apr 2023 17:18:17 -0700 Subject: [PATCH 173/308] sky regions --- pypeit/calibframe.py | 28 ++++++++++++++++++----- pypeit/core/skysub.py | 7 +++--- pypeit/images/buildimage.py | 6 +++-- pypeit/images/pypeitimage.py | 5 +---- pypeit/pypeit.py | 17 +++++++------- pypeit/scripts/skysub_regions.py | 3 ++- pypeit/tests/test_skysub.py | 38 ++++++++++++++++++++++++-------- 7 files changed, 71 insertions(+), 33 deletions(-) diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index 65c8c9825a..c90928a8c8 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -14,6 +14,7 @@ from astropy.io import fits from pypeit import msgs +from pypeit.pypmsgs import PypeItError from pypeit import datamodel from pypeit import io @@ -184,11 +185,28 @@ def from_hdu(cls, hdu, chk_version=True, **kwargs): # NOTE: If multiple HDUs are parsed, this assumes that the information # necessary to set all the calib internals is always in *every* header. # BEWARE! - hdr_to_parse = hdu[parsed_hdus[0]].header - # TODO: Consider making the next two lines a function so that they don't - # need to be repeated in PypeItCalibrationImage. - self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) - self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID']) + self.calib_keys_from_header(hdu[parsed_hdus[0]].header) + return self + + def calib_keys_from_header(self, hdr): + """ + (Attempt to) Fill the calibration keys based on the provided hdr. + + If successful, this sets the values for the calibration + :attr:`internals`. + + Args: + hdr (`astropy.io.fits.Header`_): + Header to parse + """ + try: + self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr) + except PypeItError as e: + msgs.warn(f'{e}') + if 'CALIBID' in hdr: + self.calib_id = self.ingest_calib_id(hdr['CALIBID']) + else: + msgs.warn('Header does not have CALIBID card; cannot parse calibration IDs.') return self @staticmethod diff --git a/pypeit/core/skysub.py b/pypeit/core/skysub.py index 4fb7f8a1b9..60b4ff65b0 100644 --- a/pypeit/core/skysub.py +++ b/pypeit/core/skysub.py @@ -1491,9 +1491,10 @@ def generate_mask(pypeline, skyreg, slits, slits_left, slits_right, spat_flexure # TODO: I don't understand why slmsk needs to be instantiated. SlitTraceSet # does this internally. slmsk = np.zeros(left_edg.shape[1], dtype=slittrace.SlitTraceSet.bitmask.minimum_dtype()) - slitreg = slittrace.SlitTraceSet(left_edg, righ_edg, pypeline, nspec=slits.nspec, nspat=slits.nspat, - mask=slmsk, specmin=spec_min, specmax=spec_max, - binspec=slits.binspec, binspat=slits.binspat, pad=0) + slitreg = slittrace.SlitTraceSet(left_edg, righ_edg, pypeline, nspec=slits.nspec, + nspat=slits.nspat, mask=slmsk, specmin=spec_min, + specmax=spec_max, binspec=slits.binspec, + binspat=slits.binspat, pad=0) # Generate the mask, and return return (slitreg.slit_img(use_spatial=False, flexure=spat_flexure) >= 0).astype(bool) diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 0cf4bae3c8..5f40670637 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -88,7 +88,9 @@ class TraceImage(pypeitimage.PypeItCalibrationImage): hdu_prefix = 'TRACE_' calib_type = 'Trace' - +# TODO: This doesn't need to inherit from PypeItCalibrationImage. It can just +# be a Calibframe with a short datamodel that holds the mask. And we might want +# to find a place for it that makes more sense. class SkyRegions(pypeitimage.PypeItCalibrationImage): """ Simple DataContainer for the SkyRegions Image @@ -119,7 +121,7 @@ def construct_file_name(cls, calib_key, calib_dir=None, basename=None): Returns: :obj:`str`: File path or file name """ - filename = super().construct_file_name(calib_key, calib_dir=calib_dir) + filename = str(super().construct_file_name(calib_key, calib_dir=calib_dir)) if basename is None: return filename return filename.replace(f'.{cls.calib_file_format}', f'_{basename}.{cls.calib_file_format}') diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index fb9c7d9bbb..829f3145fa 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -931,10 +931,7 @@ def from_hdu(cls, hdu, chk_version=True, hdu_prefix=None, **kwargs): f'datamodel class, {cls.__name__}.') else: hdr_to_parse = hdu.header - - self.calib_key, self.calib_dir = CalibFrame.parse_key_dir(hdr_to_parse) - self.calib_id = self.ingest_calib_id(hdr_to_parse['CALIBID'].split(',')) - + self.calib_keys_from_header(hdr_to_parse) return self @classmethod diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 1ef62db3c8..7d99392fdb 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -5,20 +5,20 @@ .. include:: ../include/links.rst """ +from pathlib import Path import time import os import copy -import json import datetime from IPython import embed import numpy as np - from astropy.io import fits from astropy.table import Table +from pypeit import io from pypeit import inputfiles from pypeit.calibframe import CalibFrame from pypeit.core import parse @@ -39,6 +39,7 @@ from pypeit.par.pypeitpar import ql_is_on from pypeit.metadata import PypeItMetaData from pypeit.manual_extract import ManualExtractionObj +from pypeit.core import skysub from linetools import utils as ltu @@ -561,7 +562,7 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): calib_slits.append(self.caliBrate.slits) # global_sky, skymask and sciImg are needed in the extract loop initial_sky, sobjs_obj, sciImg, objFind = self.objfind_one( - frames, self.det, bg_frames, std_outfile=std_outfile) + frames, self.det, bg_frames=bg_frames, std_outfile=std_outfile) if len(sobjs_obj)>0: all_specobjs_objfind.add_sobj(sobjs_obj) initial_sky_list.append(initial_sky) @@ -689,7 +690,7 @@ def calib_one(self, frames, det): return caliBrate - def objfind_one(self, frames, det, bg_frames, std_outfile=None): + def objfind_one(self, frames, det, bg_frames=None, std_outfile=None): """ Reduce + Find Objects in a single exposure/detector pair @@ -701,7 +702,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): List of frames to extract; stacked if more than one is provided det : :obj:`int` Detector number (1-indexed) - bg_frames : :obj:`list` + bg_frames : :obj:`list`, optional List of frames to use as the background. Can be empty. std_outfile : :obj:`str`, optional Filename for the standard star spec1d file. Passed directly to @@ -746,7 +747,7 @@ def objfind_one(self, frames, det, bg_frames, std_outfile=None): ignore_saturation=False) # Background Image? - if len(bg_frames) > 0: + if bg_frames is not None and len(bg_frames) > 0: bg_file_list = self.fitstbl.frame_paths(bg_frames) bgimg = buildimage.buildimage_fromlist(self.spectrograph, det, frame_par, bg_file_list, bpm=self.caliBrate.msbpm, @@ -854,9 +855,8 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): msgs.error(f'Unable to find SkyRegions file: {regfile} . Create a SkyRegions ' 'frame using pypeit_skysub_regions, or change the user_regions to ' 'the percentage format. See documentation.') - msgs.info(f'Loading SkyRegions file: {regfile}') - return buildimage.SkyRegions.from_file(sky_region_file).image.astype(bool) + return buildimage.SkyRegions.from_file(regfile).image.astype(bool) # Flexure spat_flexure = None @@ -883,7 +883,6 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): return skysub.generate_mask(self.spectrograph.pypeline, regions, self.caliBrate.slits, slits_left, slits_right, spat_flexure=spat_flexure) - def extract_one(self, frames, det, sciImg, objFind, initial_sky, sobjs_obj): """ Extract Objects in a single exposure/detector pair diff --git a/pypeit/scripts/skysub_regions.py b/pypeit/scripts/skysub_regions.py index 54df31b340..5ff9254a36 100644 --- a/pypeit/scripts/skysub_regions.py +++ b/pypeit/scripts/skysub_regions.py @@ -35,6 +35,7 @@ def get_parser(cls, width=None): @staticmethod def main(args): + from IPython import embed from pypeit import spec2dobj import os import astropy.io.fits as fits @@ -67,7 +68,7 @@ def main(args): if key not in spec2DObj.calibs: # TODO: Until I can figure out a better approach... msgs.error(f'EdgeTrace calibration frame not recorded in {args.file}!') - calib_key, _ = EdgeTraceSet.parse_calib_key(spec2DObj.calibs[key], from_filename=True) + calib_key, _ = EdgeTraceSet.parse_key_dir(spec2DObj.calibs[key], from_filename=True) # Use the appropriate class to get the "detector" number det = spec2DObj.detector.parse_name(detname) diff --git a/pypeit/tests/test_skysub.py b/pypeit/tests/test_skysub.py index f32fbb293a..54a95a27af 100644 --- a/pypeit/tests/test_skysub.py +++ b/pypeit/tests/test_skysub.py @@ -1,11 +1,15 @@ """ Module to run tests on skysub routines (mainly for IFU) """ -import pytest +from pathlib import Path +from IPython import embed + import numpy as np from pypeit.core import skysub +from pypeit.images.buildimage import SkyRegions from pypeit.slittrace import SlitTraceSet +from pypeit.tests.tstutils import data_path def test_userregions(): @@ -30,25 +34,41 @@ def test_userregions(): for rr, reg in enumerate(regions): status, regs = skysub.read_userregions(reg, nslits, maxslitlength=maxsl) if status != 1: - assert (len(regs) == nslits) - assert(np.array_equal(np.where(regs[0][1:] & ~regs[0][:-1])[0], result[rr][0])) - assert(np.array_equal(np.where(~regs[0][1:] & regs[0][:-1])[0], result[rr][1])) - assert(status == resstat[rr]) + assert len(regs) == nslits, 'Bad number of slits' + assert np.array_equal(np.where(regs[0][1:] & ~regs[0][:-1])[0], result[rr][0]), \ + 'Bad result for slit 1' + assert np.array_equal(np.where(~regs[0][1:] & regs[0][:-1])[0], result[rr][1]), \ + 'Bad result for slit 2' + assert status == resstat[rr], 'Unexpected status' def test_generatemask(): maxsl = 1000 nslits = 2 reg = "80:" - tstmsk = np.zeros((1000, 1000)) - tstmsk[:, 744:901] = 1 + tstmsk = np.zeros((1000, 1000), dtype=bool) + tstmsk[:, 744:901] = True status, regs = skysub.read_userregions(reg, nslits, maxslitlength=maxsl) + assert status == 0, 'Bad generation of user regions' slits = SlitTraceSet(left_init=np.full((1000, 1), 120, dtype=float), right_init=np.full((1000, 1), 900, dtype=float), binspec=1, binspat=1, pypeline='IFU', nspat=1000, PYP_SPEC='dummy') skymask = skysub.generate_mask("IFU", regs, slits, slits.left_init, slits.right_init) - assert(np.array_equal(skymask, tstmsk)) + assert np.array_equal(skymask, tstmsk), 'Sky mask mismatch' + + +def test_skyregions_io(): + tstmsk = np.zeros((1000, 1000), dtype=bool) + tstmsk[:, 744:901] = True + ofile = Path(data_path('test_skyregions.fits')).resolve() + if ofile.exists(): + ofile.unlink() + SkyRegions(image=tstmsk.astype(float), PYP_SPEC='dummy').to_file(file_path=ofile) + assert ofile.exists(), 'SkyRegions file not written' + reg = SkyRegions.from_file(ofile) + assert np.array_equal(tstmsk, reg.image.astype(bool)), 'Bad read' -#test_userregions() + # Clean-up + ofile.unlink() From 79dc2873048cdff6074c9464585f568720234889 Mon Sep 17 00:00:00 2001 From: profxj Date: Tue, 4 Apr 2023 08:07:58 -0700 Subject: [PATCH 174/308] msgs --- pypeit/scripts/ql_multislit.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pypeit/scripts/ql_multislit.py b/pypeit/scripts/ql_multislit.py index f9231a14d4..e409f7dba5 100644 --- a/pypeit/scripts/ql_multislit.py +++ b/pypeit/scripts/ql_multislit.py @@ -21,7 +21,6 @@ from pypeit import utils from pypeit import data from pypeit import par, msgs -from pypeit import msgs from pypeit import wavecalib from pypeit import wavetilts from pypeit import spec2dobj From 3cc353c1451d90a8ffcb82143989b83a0e84d15b Mon Sep 17 00:00:00 2001 From: profxj Date: Tue, 4 Apr 2023 08:29:23 -0700 Subject: [PATCH 175/308] a bit more --- pypeit/core/wavecal/autoid.py | 10 +--------- pypeit/scripts/ql.py | 11 ++++++----- 2 files changed, 7 insertions(+), 14 deletions(-) diff --git a/pypeit/core/wavecal/autoid.py b/pypeit/core/wavecal/autoid.py index 57bebd1597..0f6683cb70 100644 --- a/pypeit/core/wavecal/autoid.py +++ b/pypeit/core/wavecal/autoid.py @@ -773,18 +773,10 @@ def full_template(spec, lamps, par, ok_mask, det, binspectral, nsnippet=2, tspec = np.zeros(nspec) tspec[npad // 2:npad // 2 + ncomb] = templ_spec_cont_sub else: # No padding necessary - pad_spec = ispec_cont_sub + pad_spec = obs_spec_cont_sub tspec = templ_spec_cont_sub # Cross-correlate - debug = True - debug_xcorr = True shift_cc, corr_cc = wvutils.xcorr_shift(tspec, pad_spec, debug=debug, fwhm=fwhm, percent_ceil=x_percentile) - success, shift_cc2, stretch, corr_cc2, _, _ = \ - wvutils.xcorr_shift_stretch(tspec, pad_spec, - #cc_thresh=cc_thresh, - fwhm=fwhm, #seed=random_state, - debug=debug_xcorr) - embed(header='776 of autoid') #shift_cc, corr_cc = wvutils.xcorr_shift(temp_spec, pspec, debug=debug, percent_ceil=x_percentile) msgs.info("Shift = {}; cc = {}".format(shift_cc, corr_cc)) if debug: diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index a53544d70f..5fe5a44655 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -84,7 +84,6 @@ def generate_sci_pypeitfile(redux_path:str, maskID:str=None, boxcar_radius:float=None, bkg_redux:bool=False, - dither_id:np.ndarray=None, stack:bool=True): """ Generate the PypeIt file for the science frames @@ -291,10 +290,10 @@ def get_parser(cls, width=None): help='space separated list of raw frames to be specified as science exposures (over-rides PypeIt frame typing)') parser.add_argument("--redux_path", type=str, default='current working directory', help="Full path to where QL reduction should be run.") - parser.add_argument("--calib_dir", type=str, - help="Location folders of calibration reductions") - parser.add_argument("--masters_dir", type=str, - help="Location of PypeIt Master files used for the reduction.") + parser.add_argument("--parent_calib_dir", type=str, + help="Location of folders for calibration reductions") + parser.add_argument("--setup_calib_dir", type=str, + help="Location of PypeIt Calibration files used for the reduction.") parser.add_argument("--calibs_only", default=False, action="store_true", help='Reduce only the calibrations?') parser.add_argument("--clobber_calibs", default=False, @@ -432,6 +431,8 @@ def main(args): redux_path=redux_path) pypeIt.reduce_all() pypeIt.build_qa() + + # COADD 2D GOES HERE msgs.info(f'Quicklook completed in {utils.get_time_string(time.perf_counter()-tstart)} seconds') def print_offset_report(files:list, fitstbl:astropy.table.Table, From f0e1015d8f31e803b5021b57435806c24b035d07 Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 4 Apr 2023 20:53:12 +0100 Subject: [PATCH 176/308] int --- pypeit/spectrographs/keck_kcwi.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index f368d02ced..5398f9847d 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -285,7 +285,7 @@ def default_pypeit_par(cls): # Don't correct flexure by default, but you should use slitcen, # because this is a slit-based IFU where no objects are extracted. par['flexure']['spec_method'] = 'skip' - par['flexure']['spec_maxshift'] = 2.5 # Just in case someone switches on spectral flexure, this needs to be minimal + par['flexure']['spec_maxshift'] = 3 # Just in case someone switches on spectral flexure, this needs to be minimal # Flux calibration parameters par['sensfunc']['UVIS']['extinct_correct'] = False # This must be False - the extinction correction is performed when making the datacube From 5ca3f1c435cfa0582b839e5bd5a0a2f1de846391 Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 4 Apr 2023 20:55:07 +0100 Subject: [PATCH 177/308] flex updates --- pypeit/core/datacube.py | 43 +++++++++++++++++++++++++++++++++-------- 1 file changed, 35 insertions(+), 8 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 27285a5b77..0f29396938 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -17,7 +17,7 @@ import numpy as np from pypeit import msgs -from pypeit import alignframe, datamodel, flatfield, io, masterframe, specobj, spec2dobj, utils +from pypeit import alignframe, data, datamodel, flatfield, io, masterframe, specobj, spec2dobj, utils, wavecalib from pypeit.core.flux_calib import load_extinction_data, extinction_correction, fit_zeropoint, get_standard_spectrum, ZP_UNIT_CONST, PYPEIT_FLUX_SCALE from pypeit.core.flexure import calculate_image_phase from pypeit.core import coadd, extract, findobj_skymask, parse, skysub @@ -1293,6 +1293,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): cubepar = parset['reduce']['cube'] flatpar = parset['calibrations']['flatfield'] senspar = parset['sensfunc'] + flexpar = parset['flexure'] # prep numfiles = len(files) @@ -1451,10 +1452,18 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Setup for PypeIt imports msgs.reset(verbosity=2) + # TODO :: Consider loading all calibrations into a single variable. + # Initialise the slit edges msgs.info("Constructing slit image") slits = spec2DObj.slits slitid_img_init = slits.slit_img(pad=0, initial=True, flexure=spat_flexure) + slits_left, slits_right, _ = slits.select_edges(initial=True, flexure=spat_flexure) + + # Load the wavelength calibration + masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, hdr['TRACMKEY'], master_dir=hdr['PYPMFDIR']) + if os.path.isfile(masterframe_name): + wv_calib = wavecalib.WaveCalib.from_file(masterframe_name) # Try to load the relative scale image, if something other than the default has been provided relScaleImg = relScaleImgDef.copy() @@ -1511,25 +1520,43 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): relscl = 1.0 if cubepar['scale_corr'] is not None or opts['scale_corr'][ff] is not None: relscl = spec2DObj.scaleimg/relScaleImg + # TODO :: unset this debug here + debug = True sciimg = (spec2DObj.sciimg-skysubImg)*relscl # Subtract sky + if debug: + sciimg = spec2DObj.sciimg * relscl # Subtract sky ivar = spec2DObj.ivarraw / relscl**2 waveimg = spec2DObj.waveimg bpmmask = spec2DObj.bpmmask + # TODO :: Really need to write some detailed information in the docs about all of the various corrections that can optionally be applied + # Correct for spectral flexure using the skysub frame # TODO :: Need to include the spectral flexure correction here. embed() ####################################################################### + from pypeit.core import flexure + from pypeit.core.wavecal import autoid # Obtain a reference spectrum sl_ref = flatpar['slit_illum_ref_idx'] # Calculate the absolute spectral flexure correction for the reference slit - trace_spat = 0.5 * (self.slits_left + self.slits_right) - gd_slits = np.ones(self.slits.nslits, dtype=bool) - flex_list = flexure.spec_flexure_slit_global(self.sciImg, waveimg, global_sky_sep, self.par, - self.slits, self.slitmask, trace_spat, gd_slits, - wv_calib, self.pypeline, self.det) + trace_spat = 0.5 * (slits_left + slits_right) + sky_spectrum = data.load_sky_spectrum(flexpar['spectrum']) + # get arxiv sky spectrum resolution (FWHM in pixels) + arx_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) + # get spectral FWHM (in Angstrom) if available + spec_fwhm = None + if wv_calib is not None: + iwv = np.where(wv_calib.spat_ids == slits.spat_id[sl_ref])[0][0] + # Allow for wavelength failures + if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: + spec_fwhm = wv_calib.wv_fits[iwv].fwhm + # Calculate the flexure + flex_dict = flexure.spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=spec_fwhm, + mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], + method="slitcen") # This absolute shift is the same for all slits - slitshift = np.ones(slits.nslits) * flex_list[sl_ref]['shift'][0] + slitshift = np.ones(slits.nslits) * flex_dict['shift'][0] # Now loop through all slits to calculate the additional shift relative to the reference slit for slit_idx, slit_spat in enumerate(slits.spat_id): onslit_init = (slitid_img_init == slit_spat) @@ -1538,7 +1565,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Calculate the shift fdict = spec_flex_shift(slit_specs[slit_idx], sky_spectrum, arx_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft, spec_fwhm=spec_fwhm, method=method) - slitshift[slit_idx] += + slitshift[slit_idx] += 0.0 # Rebuild the wavelength image waveimg_corr = wv_calib.build_waveimg(self.tilts, slits, spec_flexure=slitshift, spat_flexure=spat_flexure) From b61d02364a4d23f17a37f9232dd2592379822d08 Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 4 Apr 2023 20:57:08 +0100 Subject: [PATCH 178/308] fwhm in pixels --- pypeit/core/flexure.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index e7e332e095..248f0b7450 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -673,7 +673,7 @@ def spec_flexure_slit(slits, slitord, slit_bpm, sky_file, method="boxcar", speco iwv = np.where(wv_calib.spat_ids == slits.spat_id[islit])[0][0] # Allow for wavelength failures if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - spec_fwhm = wv_calib.wv_fits[iwv].cen_disp*wv_calib.wv_fits[iwv].fwhm + spec_fwhm = wv_calib.wv_fits[iwv].fwhm # This is the FWHM in pixels if slit_cen: # global flexure From 78a97439106df6e832e8eb7f56e4f96d759d7abb Mon Sep 17 00:00:00 2001 From: deborape Date: Tue, 4 Apr 2023 17:34:17 -0700 Subject: [PATCH 179/308] improve display.show_slits --- pypeit/display/display.py | 127 ++++++++++++++++++++++++-------------- 1 file changed, 82 insertions(+), 45 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 6af77c0728..6a4d0c5ba8 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -400,59 +400,96 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= # Plot lefts. Points need to be int or float. Use of .tolist() on # each array insures this - for i in range(nleft): - points = list(zip(y[::pstep, i].tolist(), _left[::pstep,i].tolist())) if rotate \ - else list(zip(_left[::pstep,i].tolist(), y[::pstep, i].tolist())) - canvas.add(str('path'), points, color=str('green')) - if not synced: - # Add text - xt, yt = float(_left_id_loc[top,i]), float(y[top, i]) - xb, yb = float(_left_id_loc[bot,i]), float(y[bot, i]) - if rotate: - xt, yt = yt, xt - xb, yb = yb, xb - canvas.add(str('text'), xb, yb, str('S{0}'.format(_left_ids[i])), color=str('aquamarine'), - fontsize=20., rot_deg=90.) - #canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('green'), fontsize=20.) + canvas_list = [dict(type=str('path'), + args=(list(zip(y[::pstep, i].tolist(), _left[::pstep,i].tolist())),) if rotate + else (list(zip(_left[::pstep,i].tolist(), y[::pstep, i].tolist())),), + kwargs=dict(color=str('green'))) for i in range(nleft)] + if not synced: + # Add text + canvas_list += [dict(type='text', + args=(float(y[bot, i]), float(_left_id_loc[bot,i]), str('S{0}'.format(_left_ids[i]))) if rotate + else (float(_left_id_loc[bot,i]), float(y[bot, i]), str('S{0}'.format(_left_ids[i]))), + kwargs=dict(color=str('aquamarine'), fontsize=20., rot_deg=90.)) for i in range(nleft)] + + # for i in range(nleft): + # points = list(zip(y[::pstep, i].tolist(), _left[::pstep,i].tolist())) if rotate \ + # else list(zip(_left[::pstep,i].tolist(), y[::pstep, i].tolist())) + # canvas.add(str('path'), points, color=str('green')) + # if not synced: + # # Add text + # xt, yt = float(_left_id_loc[top,i]), float(y[top, i]) + # xb, yb = float(_left_id_loc[bot,i]), float(y[bot, i]) + # if rotate: + # xt, yt = yt, xt + # xb, yb = yb, xb + # canvas.add(str('text'), xb, yb, str('S{0}'.format(_left_ids[i])), color=str('aquamarine'), + # fontsize=20., rot_deg=90.) + # #canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('green'), fontsize=20.) # Plot rights. Points need to be int or float. Use of .tolist() on # each array insures this - for i in range(nright): - points = list(zip(y[::pstep, i].tolist(), _right[::pstep,i].tolist())) if rotate \ - else list(zip(_right[::pstep,i].tolist(), y[::pstep, i].tolist())) - canvas.add(str('path'), points, color=str('magenta')) - if not synced: - # Add text - xt, yt = float(_right_id_loc[top,i]), float(y[top]) - xb, yb = float(_right_id_loc[bot,i]), float(y[bot]) - if rotate: - xt, yt = yt, xt - xb, yb = yb, xb - canvas.add(str('text'), xb, yb, str('S{0}'.format(_right_ids[i])), color=str('red'), - fontsize=20.) - canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('red'), - fontsize=20.) + canvas_list += [dict(type=str('path'), + args=(list(zip(y[::pstep, i].tolist(), _right[::pstep,i].tolist())),) if rotate + else (list(zip(_right[::pstep,i].tolist(), y[::pstep, i].tolist())),), + kwargs=dict(color=str('magenta'))) for i in range(nright)] + if not synced: + # Add text + canvas_list += [dict(type='text', + args=(float(y[bot, i]), float(_right_id_loc[bot,i]), str('S{0}'.format(_right_ids[i]))) if rotate + else (float(_right_id_loc[bot,i]), float(y[bot, i]), str('S{0}'.format(_right_ids[i]))), + kwargs=dict(color=str('magenta'), fontsize=20., rot_deg=90.)) for i in range(nright)] + + canvas.add('constructedcanvas', canvas_list) + # for i in range(nright): + # points = list(zip(y[::pstep, i].tolist(), _right[::pstep,i].tolist())) if rotate \ + # else list(zip(_right[::pstep,i].tolist(), y[::pstep, i].tolist())) + # canvas.add(str('path'), points, color=str('magenta')) + # if not synced: + # # Add text + # xt, yt = float(_right_id_loc[top,i]), float(y[top]) + # xb, yb = float(_right_id_loc[bot,i]), float(y[bot]) + # if rotate: + # xt, yt = yt, xt + # xb, yb = yb, xb + # canvas.add(str('text'), xb, yb, str('S{0}'.format(_right_ids[i])), color=str('red'), + # fontsize=20.) + # canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('red'), + # fontsize=20.) # Plot slit labels, if synced - if not synced: - return - for i in range(nslits): - xt, yt = float(_slit_id_loc[top,i]), float(y[top,i]) - xb, yb = float(_slit_id_loc[bot,i]), float(y[bot,i]) - if rotate: - xt, yt = yt, xt - xb, yb = yb, xb + if synced: # Slit IDs - canvas.add(str('text'), xb, yb-400, str('S{0}'.format(_slit_ids[i])), color=str('aquamarine'), - fontsize=20., rot_deg=90.) + canvas_list += [dict(type='text', + args=(float(y[bot, i]), float(_slit_id_loc[bot,i])-400, str('S{0}'.format(_slit_ids[i]))) if rotate + else (float(_slit_id_loc[bot,i]), float(y[bot, i])-400, str('S{0}'.format(_slit_ids[i]))), + kwargs=dict(color=str('aquamarine'), fontsize=20., rot_deg=90.)) for i in range(nslits)] # maskdef_ids if _maskdef_ids is not None: - canvas.add(str('text'), xb, yb-250, str('{0}'.format(_maskdef_ids[i])), - color=str('cyan'), fontsize=20., rot_deg=90.) - # TODO -- Fix indices if you really want to show them - #canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('green'), - # fontsize=20.) - + canvas_list += [dict(type='text', + args=(float(y[bot, i]), float(_slit_id_loc[bot,i])-250, str('S{0}'.format(_slit_ids[i]))) if rotate + else (float(_slit_id_loc[bot,i]), float(y[bot, i])-250, str('S{0}'.format(_slit_ids[i]))), + kwargs=dict(color=str('cyan'), fontsize=20., rot_deg=90.)) for i in range(nslits)] + + + # if not synced: + # return + # for i in range(nslits): + # xt, yt = float(_slit_id_loc[top,i]), float(y[top,i]) + # xb, yb = float(_slit_id_loc[bot,i]), float(y[bot,i]) + # if rotate: + # xt, yt = yt, xt + # xb, yb = yb, xb + # # Slit IDs + # canvas.add(str('text'), xb, yb-400, str('S{0}'.format(_slit_ids[i])), color=str('aquamarine'), + # fontsize=20., rot_deg=90.) + # # maskdef_ids + # if _maskdef_ids is not None: + # canvas.add(str('text'), xb, yb-250, str('{0}'.format(_maskdef_ids[i])), + # color=str('cyan'), fontsize=20., rot_deg=90.) + # # TODO -- Fix indices if you really want to show them + # #canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('green'), + # # fontsize=20.) + canvas.add('constructedcanvas', canvas_list) def show_trace(viewer, ch, trace, trc_name='Trace', color='blue', clear=False, rotate=False, pstep=50, yval=None): From cb67fa49762b3025174830dc7eb0e2dfac4a0988 Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 5 Apr 2023 13:01:05 +0100 Subject: [PATCH 180/308] minor fix --- pypeit/core/datacube.py | 29 ++++++++++++++++++------ pypeit/core/flexure.py | 49 +++++++++++++++++++++-------------------- 2 files changed, 47 insertions(+), 31 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 0f29396938..30155307fe 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1537,30 +1537,45 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): ####################################################################### from pypeit.core import flexure from pypeit.core.wavecal import autoid + from linetools.spectra import xspectrum1d + # Obtain a reference spectrum sl_ref = flatpar['slit_illum_ref_idx'] # Calculate the absolute spectral flexure correction for the reference slit trace_spat = 0.5 * (slits_left + slits_right) sky_spectrum = data.load_sky_spectrum(flexpar['spectrum']) # get arxiv sky spectrum resolution (FWHM in pixels) - arx_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) + sky_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) # get spectral FWHM (in Angstrom) if available - spec_fwhm = None + ref_fwhm_ang = None if wv_calib is not None: iwv = np.where(wv_calib.spat_ids == slits.spat_id[sl_ref])[0][0] # Allow for wavelength failures if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - spec_fwhm = wv_calib.wv_fits[iwv].fwhm + ref_fwhm_ang = wv_calib.wv_fits[iwv].cen_disp * wv_calib.wv_fits[iwv].fwhm + # Get an object spectrum + thismask = (slitid_img_init == slits.spat_id[sl_ref]) + # Dummy spec for extract_boxcar + ref_skyspec = flexure.get_sky_spectrum(sciimg, ivar, waveimg, thismask, skysubImg, + parset['reduce']['extraction']['boxcar_radius'], + slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) # Calculate the flexure - flex_dict = flexure.spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=spec_fwhm, + flex_dict = flexure.spec_flex_shift(ref_skyspec, sky_spectrum, sky_fwhm_pix, spec_fwhm=ref_fwhm_ang, mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], method="slitcen") # This absolute shift is the same for all slits - slitshift = np.ones(slits.nslits) * flex_dict['shift'][0] + slitshift = np.ones(slits.nslits) * flex_dict['shift'] # Now loop through all slits to calculate the additional shift relative to the reference slit for slit_idx, slit_spat in enumerate(slits.spat_id): - onslit_init = (slitid_img_init == slit_spat) - # Construct the spectrum at this slit + thismask = (slitid_img_init == slit_spat) + # Dummy spec for extract_boxcar + this_skyspec = flexure.get_sky_spectrum(sciimg, ivar, waveimg, thismask, skysubImg, + parset['reduce']['extraction']['boxcar_radius'], + slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) + # Calculate the flexure + flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_ang, spec_fwhm=spec_fwhm, + mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], + method="slitcen") # Calculate the shift fdict = spec_flex_shift(slit_specs[slit_idx], sky_spectrum, arx_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft, diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index b10679b904..bb0ff9cc9f 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -128,7 +128,7 @@ def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=None, mxsh arx_fwhm_pix (:obj:`float`): Spectral FWHM (in pixels) of the archived sky spectrum. spec_fwhm (:obj:`float`, optional): - Spectral FWHM (in pixels) of the sky spectrum related to our object/slit. + Spectral FWHM (in Angstroms) of the sky spectrum related to our object/slit. mxshft (:obj:`float`, optional): Maximum allowed shift from flexure; note there are cases that have been known to exceed even 30 pixels.. @@ -323,11 +323,11 @@ def get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm=None arx_skyspec (:class:`linetools.spectra.xspectrum1d.XSpectrum1d`): Archived sky spectrum. obj_skyspec (:class:`linetools.spectra.xspectrum1d.XSpectrum1d`): - Spectrum of the sky related to our object. + Sky spectrum associated with the science target. arx_fwhm_pix (:obj:`float`): Spectral FWHM (in pixels) of the archived sky spectrum. spec_fwhm (:obj:`float`, optional): - Spectral FWHM (in pixels) of the sky spectrum related to our object. + Spectral FWHM (in Angstroms) of the sky spectrum with the science target. Returns: :obj:`float`: FWHM of the smoothing Gaussian in pixels. @@ -423,7 +423,7 @@ def spec_flex_shift_global(slit_specs, islit, sky_spectrum, arx_fwhm_pix, empty_ keys_to_update (:obj:`list`): List of flexure dictionary keys that we need to update. spec_fwhm (:obj:`float`, optional): - Spectral FWHM (in pixels) of the sky spectrum related to our object. + Spectral FWHM (in Angstroms) of the sky spectrum related to our object. mxshft (:obj:`int`, optional): Maximum allowed shift from flexure. Passed to spec_flex_shift(). excess_shft (:obj:`str`, optional): @@ -496,7 +496,7 @@ def spec_flex_shift_local(slits, slitord, specobjs, islit, sky_spectrum, arx_fwh keys_to_update (:obj:`list`): List of flexure dictionary keys that we need to update. spec_fwhm (:obj:`float`, optional): - Spectral FWHM (in pixels) of the sky spectrum related to our object. + Spectral FWHM (in Angstroms) of the sky spectrum related to our object. mxshft (:obj:`int`, optional): Maximum allowed shift from flexure. Passed to spec_flex_shift(). excess_shft (:obj:`str`, optional): @@ -673,7 +673,7 @@ def spec_flexure_slit(slits, slitord, slit_bpm, sky_file, method="boxcar", speco iwv = np.where(wv_calib.spat_ids == slits.spat_id[islit])[0][0] # Allow for wavelength failures if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - spec_fwhm = wv_calib.wv_fits[iwv].fwhm # This is the FWHM in pixels + spec_fwhm = wv_calib.wv_fits[iwv].cen_disp * wv_calib.wv_fits[iwv].fwhm if slit_cen: # global flexure @@ -790,7 +790,6 @@ def spec_flexure_slit_global(sciImg, waveimg, global_sky, par, slits, slitmask, dict if the slit is skipped. """ # TODO :: Need to think about spatial flexure - is the appropriate spatial flexure already included in trace_spat via left/right slits? - trace_spec = np.arange(slits.nspec) slit_specs = [] # get boxcar radius box_radius = par['reduce']['extraction']['boxcar_radius'] @@ -798,25 +797,11 @@ def spec_flexure_slit_global(sciImg, waveimg, global_sky, par, slits, slitmask, if not gd_slits[ss]: slit_specs.append(None) continue - slit_spat = slits.spat_id[ss] - thismask = (slitmask == slit_spat) + thismask = (slitmask == slits.spat_id[ss]) inmask = sciImg.select_flag(invert=True) & thismask - - # Dummy spec for extract_boxcar - spec = specobj.SpecObj(PYPELINE=pypeline, - SLITID=ss, - ECH_ORDER=ss, # Use both to cover the bases for naming - DET=str(det)) - spec.trace_spec = trace_spec - spec.TRACE_SPAT = trace_spat[:, ss] - spec.BOX_RADIUS = box_radius - # Extract - extract.extract_boxcar(sciImg.image, sciImg.ivar, inmask, waveimg, global_sky, spec) - slit_wave, slit_sky = spec.BOX_WAVE, spec.BOX_COUNTS_SKY - - # TODO :: Need to remove this XSpectrum1D dependency - it is required in: flexure.spec_flex_shift # Pack - slit_specs.append(xspectrum1d.XSpectrum1D.from_tuple((slit_wave, slit_sky))) + slit_specs.append(get_sky_spectrum(sciImg.image, sciImg.ivar, waveimg, inmask, global_sky, + box_radius, slits, trace_spat[:, ss], pypeline, det)) # Measure flexure flex_list = spec_flexure_slit(slits, slits.slitord_id, np.logical_not(gd_slits), @@ -828,6 +813,22 @@ def spec_flexure_slit_global(sciImg, waveimg, global_sky, par, slits, slitmask, return flex_list +def get_sky_spectrum(sciimg, ivar, waveimg, thismask, global_sky, box_radius, slits, trace_spat, pypeline, det): + """ Obtain a boxcar extraction of the sky spectrum + + """ + spec = specobj.SpecObj(PYPELINE=pypeline, SLITID=-1, DET=str(det)) + spec.trace_spec = np.arange(slits.nspec) + spec.TRACE_SPAT = trace_spat + spec.BOX_RADIUS = box_radius + # Extract + extract.extract_boxcar(sciimg, ivar, thismask, waveimg, global_sky, spec) + slit_wave, slit_sky = spec.BOX_WAVE, spec.BOX_COUNTS_SKY + # TODO :: Need to remove this XSpectrum1D dependency - it is required in: flexure.spec_flex_shift + obj_skyspec = xspectrum1d.XSpectrum1D.from_tuple((slit_wave, slit_sky)) + return obj_skyspec + + def spec_flexure_corrQA(ax, this_flex_dict, cntr, name): # Fit fit = this_flex_dict['polyfit'][cntr] From 49e106ef3994fe20f41adeb648d3770c5ece02fa Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 5 Apr 2023 13:07:38 +0100 Subject: [PATCH 181/308] unify pix --- pypeit/core/flexure.py | 45 +++++++++++++++++++++--------------------- 1 file changed, 22 insertions(+), 23 deletions(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index 248f0b7450..6314b3e22b 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -116,7 +116,7 @@ def spat_flexure_shift(sciimg, slits, debug=False, maxlag=20): return lag_max[0] -def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=None, mxshft=20, excess_shft="crash", +def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm_pix=None, mxshft=20, excess_shft="crash", method="boxcar"): """ Calculate shift between object sky spectrum and archive sky spectrum @@ -127,7 +127,7 @@ def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=None, mxsh Archived sky spectrum arx_fwhm_pix (:obj:`float`): Spectral FWHM (in pixels) of the archived sky spectrum. - spec_fwhm (:obj:`float`, optional): + spec_fwhm_pix (:obj:`float`, optional): Spectral FWHM (in pixels) of the sky spectrum related to our object/slit. mxshft (:obj:`float`, optional): Maximum allowed shift from flexure; note there are cases that @@ -160,10 +160,10 @@ def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=None, mxsh msgs.warn("If we use Paranal, cut down on wavelength early on") # get gaussian sigma (pixels) for smoothing - smooth_fwhm_pix = get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm=spec_fwhm) + smooth_fwhm_pix = get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm_pix=spec_fwhm_pix) if smooth_fwhm_pix is None: - # smooth_fwhm_pix is None if spec_fwhm<0, i.e., the wavelength calibration is bad + # smooth_fwhm_pix is None if spec_fwhm_pix<0, i.e., the wavelength calibration is bad msgs.warn('No flexure correction could be computed for this slit/object') return None @@ -316,7 +316,7 @@ def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm=None, mxsh corr_cen=corr.size/2, smooth=smooth_fwhm_pix, method=method) -def get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm=None): +def get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm_pix=None): """ Args: @@ -326,15 +326,15 @@ def get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm=None Spectrum of the sky related to our object. arx_fwhm_pix (:obj:`float`): Spectral FWHM (in pixels) of the archived sky spectrum. - spec_fwhm (:obj:`float`, optional): + spec_fwhm_pix (:obj:`float`, optional): Spectral FWHM (in pixels) of the sky spectrum related to our object. Returns: :obj:`float`: FWHM of the smoothing Gaussian in pixels. """ # determine object spectral FWHM (in Angstrom) using obj_skyspec - # if spec_fwhm (typically from wave calibration) is None - if spec_fwhm is None: + # if spec_fwhm_pix (typically from wave calibration) is None + if spec_fwhm_pix is None: # pixels spec_fwhm_pix = autoid.measure_fwhm(obj_skyspec.flux.value, sigdetect=4., fwhm=4.) msgs.info('Measuring spectral FWHM using the boxcar extracted sky spectrum.') @@ -342,11 +342,10 @@ def get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm=None msgs.warn('Failed to measure the spectral FWHM using the boxcar extracted sky spectrum. ' 'Not enough sky lines detected.') return None - else: - # object sky spectral dispersion (Angstrom/pixel) - obj_disp = np.median(np.diff(obj_skyspec.wavelength.value)) - # Angstrom - spec_fwhm = spec_fwhm_pix * obj_disp + # object sky spectral dispersion (Angstrom/pixel) + obj_disp = np.median(np.diff(obj_skyspec.wavelength.value)) + # Angstrom + spec_fwhm = spec_fwhm_pix * obj_disp # determine arxiv sky spectral FWHM (in Angstrom) # arxiv sky spectral dispersion (Angstrom/pixel) @@ -399,7 +398,7 @@ def flexure_interp(shift, wave): def spec_flex_shift_global(slit_specs, islit, sky_spectrum, arx_fwhm_pix, empty_flex_dict, - return_later_slits, flex_list, keys_to_update, spec_fwhm=None, + return_later_slits, flex_list, keys_to_update, spec_fwhm_pix=None, mxshft=20, excess_shft="crash", method='slitcen'): """ Calculate flexure shifts using the sky spectrum extracted at the center of the slit @@ -422,7 +421,7 @@ def spec_flex_shift_global(slit_specs, islit, sky_spectrum, arx_fwhm_pix, empty_ A list of :obj:`dict` objects containing flexure results of each slit. keys_to_update (:obj:`list`): List of flexure dictionary keys that we need to update. - spec_fwhm (:obj:`float`, optional): + spec_fwhm_pix (:obj:`float`, optional): Spectral FWHM (in pixels) of the sky spectrum related to our object. mxshft (:obj:`int`, optional): Maximum allowed shift from flexure. Passed to spec_flex_shift(). @@ -446,7 +445,7 @@ def spec_flex_shift_global(slit_specs, islit, sky_spectrum, arx_fwhm_pix, empty_ # Calculate the shift fdict = spec_flex_shift(slit_specs[islit], sky_spectrum, arx_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft, - spec_fwhm=spec_fwhm, method=method) + spec_fwhm_pix=spec_fwhm_pix, method=method) # Was it successful? if fdict is not None: @@ -469,7 +468,7 @@ def spec_flex_shift_global(slit_specs, islit, sky_spectrum, arx_fwhm_pix, empty_ def spec_flex_shift_local(slits, slitord, specobjs, islit, sky_spectrum, arx_fwhm_pix, empty_flex_dict, - return_later_slits, flex_list, keys_to_update, spec_fwhm=None, mxshft=20, + return_later_slits, flex_list, keys_to_update, spec_fwhm_pix=None, mxshft=20, excess_shft="crash", method='boxcar'): """ Calculate flexure shifts using the sky spectrum boxcar-extracted at the location of the detected objects @@ -495,7 +494,7 @@ def spec_flex_shift_local(slits, slitord, specobjs, islit, sky_spectrum, arx_fwh A list of :obj:`dict` objects containing flexure results of each slit. keys_to_update (:obj:`list`): List of flexure dictionary keys that we need to update. - spec_fwhm (:obj:`float`, optional): + spec_fwhm_pix (:obj:`float`, optional): Spectral FWHM (in pixels) of the sky spectrum related to our object. mxshft (:obj:`int`, optional): Maximum allowed shift from flexure. Passed to spec_flex_shift(). @@ -545,7 +544,7 @@ def spec_flex_shift_local(slits, slitord, specobjs, islit, sky_spectrum, arx_fwh # Calculate the shift fdict = spec_flex_shift(obj_sky, sky_spectrum, arx_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft, - spec_fwhm=spec_fwhm, method=method) + spec_fwhm_pix=spec_fwhm_pix, method=method) if fdict is not None: # Update dict @@ -668,23 +667,23 @@ def spec_flexure_slit(slits, slitord, slit_bpm, sky_file, method="boxcar", speco continue # get spectral FWHM (in Angstrom) if available - spec_fwhm = None + spec_fwhm_pix = None if wv_calib is not None: iwv = np.where(wv_calib.spat_ids == slits.spat_id[islit])[0][0] # Allow for wavelength failures if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - spec_fwhm = wv_calib.wv_fits[iwv].fwhm # This is the FWHM in pixels + spec_fwhm_pix = wv_calib.wv_fits[iwv].fwhm if slit_cen: # global flexure flex_list = spec_flex_shift_global(slit_specs, islit, sky_spectrum, arx_fwhm_pix, empty_flex_dict, return_later_slits, flex_list, keys_to_update, - spec_fwhm=spec_fwhm, mxshft=mxshft, excess_shft=excess_shft) + spec_fwhm_pix=spec_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft) else: # local flexure flex_list = spec_flex_shift_local(slits, slitord, specobjs, islit, sky_spectrum, arx_fwhm_pix, empty_flex_dict, return_later_slits, flex_list, keys_to_update, - spec_fwhm=spec_fwhm, mxshft=mxshft, excess_shft=excess_shft) + spec_fwhm_pix=spec_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft) # Check if we need to go back to some failed slits if len(return_later_slits) > 0: From aa95cf8997a05dd8d24bfd2f2d04555394cec086 Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 5 Apr 2023 15:26:34 +0100 Subject: [PATCH 182/308] pix/ang --- pypeit/core/datacube.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 30155307fe..7693434eb5 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1464,6 +1464,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, hdr['TRACMKEY'], master_dir=hdr['PYPMFDIR']) if os.path.isfile(masterframe_name): wv_calib = wavecalib.WaveCalib.from_file(masterframe_name) + else: + # TODO :: Need to think about what to do about this... + msgs.error("NEED TO THINK ABOUT THIS") # Try to load the relative scale image, if something other than the default has been provided relScaleImg = relScaleImgDef.copy() @@ -1547,12 +1550,13 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # get arxiv sky spectrum resolution (FWHM in pixels) sky_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) # get spectral FWHM (in Angstrom) if available - ref_fwhm_ang = None - if wv_calib is not None: - iwv = np.where(wv_calib.spat_ids == slits.spat_id[sl_ref])[0][0] - # Allow for wavelength failures - if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - ref_fwhm_ang = wv_calib.wv_fits[iwv].cen_disp * wv_calib.wv_fits[iwv].fwhm + ref_fwhm_ang, ref_fwhm_pix = None, None + iwv = np.where(wv_calib.spat_ids == slits.spat_id[sl_ref])[0][0] + # Allow for wavelength failures + if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: + # TODO :: NEED TO CHOOSE IF THIS IS TO BE ANGSTROMS OR PIXELS + ref_fwhm_pix = wv_calib.wv_fits[iwv].fwhm + ref_fwhm_ang = wv_calib.wv_fits[iwv].cen_disp * ref_fwhm_pix # Get an object spectrum thismask = (slitid_img_init == slits.spat_id[sl_ref]) # Dummy spec for extract_boxcar @@ -1573,7 +1577,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): parset['reduce']['extraction']['boxcar_radius'], slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) # Calculate the flexure - flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_ang, spec_fwhm=spec_fwhm, + flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_pix, spec_fwhm=spec_fwhm, mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], method="slitcen") From 92de5c4d80595d958f0df7255f76e51576cf914e Mon Sep 17 00:00:00 2001 From: rcooke Date: Wed, 5 Apr 2023 20:08:14 +0100 Subject: [PATCH 183/308] pix --- pypeit/core/datacube.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 7693434eb5..a5f6e54259 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1554,9 +1554,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): iwv = np.where(wv_calib.spat_ids == slits.spat_id[sl_ref])[0][0] # Allow for wavelength failures if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - # TODO :: NEED TO CHOOSE IF THIS IS TO BE ANGSTROMS OR PIXELS ref_fwhm_pix = wv_calib.wv_fits[iwv].fwhm - ref_fwhm_ang = wv_calib.wv_fits[iwv].cen_disp * ref_fwhm_pix # Get an object spectrum thismask = (slitid_img_init == slits.spat_id[sl_ref]) # Dummy spec for extract_boxcar @@ -1564,7 +1562,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): parset['reduce']['extraction']['boxcar_radius'], slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) # Calculate the flexure - flex_dict = flexure.spec_flex_shift(ref_skyspec, sky_spectrum, sky_fwhm_pix, spec_fwhm=ref_fwhm_ang, + flex_dict = flexure.spec_flex_shift(ref_skyspec, sky_spectrum, sky_fwhm_pix, spec_fwhm=ref_fwhm_pix, mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], method="slitcen") # This absolute shift is the same for all slits @@ -1575,9 +1573,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Dummy spec for extract_boxcar this_skyspec = flexure.get_sky_spectrum(sciimg, ivar, waveimg, thismask, skysubImg, parset['reduce']['extraction']['boxcar_radius'], - slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) + slits, trace_spat[:, slit_idx], hdr['PYPELINE'], det) # Calculate the flexure - flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_pix, spec_fwhm=spec_fwhm, + flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_pix*1.01, spec_fwhm=ref_fwhm_pix, mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], method="slitcen") From 576b0f6daae1ad41e6b8af110615921ac5eb7499 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 5 Apr 2023 14:49:06 -0700 Subject: [PATCH 184/308] successful ql run --- doc/quicklook.rst | 84 +++- pypeit/calibframe.py | 52 +++ pypeit/calibrations.py | 363 +++++++-------- pypeit/core/wavecal/autoid.py | 10 +- pypeit/io.py | 62 +-- pypeit/metadata.py | 13 +- pypeit/pypeit.py | 16 +- pypeit/pypeitsetup.py | 57 ++- pypeit/scripts/ql.py | 636 ++++++++++++++++----------- pypeit/spectrographs/keck_lris.py | 1 + pypeit/spectrographs/keck_mosfire.py | 3 +- pypeit/tests/test_io.py | 33 ++ pypeit/tests/test_runpypeit.py | 2 +- 13 files changed, 823 insertions(+), 509 deletions(-) diff --git a/doc/quicklook.rst b/doc/quicklook.rst index e30877fcbf..96e0818bee 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -5,8 +5,9 @@ Quick-Look Reductions Overview ======== -PypeIt provides a quicklook script ``pypeit_ql`` for -quick reductions, presumably at the telescope. +PypeIt provides a quick-look (QL) script ``pypeit_ql`` that performs faster +(potentially lower quality) reductions for quick inspection, presumably for +real-time decision-making while at the telescope. The approach is to (1) generate calibration files if needed using an auto-generated :doc:`pypeit_file` @@ -17,22 +18,83 @@ along with the output products (see below). This script performs a boxcar (only) extraction of long- or multi-slit observations. -The script does expect (effectively requires) that -PypeIt will correctly frametype the input frames. -If this fails, so too will the script. -A future revision may allow the user to specify the +The script effectively requires that PypeIt is able to correctly determine the +type of each input frame, without input from the user. If this fails, so too +will the script. A future revision may allow the user to specify the frametypes. - The script usage can be displayed by calling the script with the ``-h`` option: .. include:: help/pypeit_ql.rst -At present, only a few spectrographs have been -extensively tested: -``shane_kast_blue``, ``shane_kast_red``, ``keck_lris_red``, -``keck_deimos``. +At present, only a few spectrographs have been extensively tested: +``shane_kast_blue``, ``shane_kast_red``, ``keck_lris_red``, ``keck_deimos``. + +Specifying the input raw files +++++++++++++++++++++++++++++++ + +The script provides a few ways that you can specify the files to reduce: + +#. Provide a file with a specific :ref:`format ` that lists the + files to be reduced. The format must follow the standard PypeIt file + :ref:`input-files-data-block`; however, only the ``filename`` column is + required. + +#. Provide the directory and list of files directly on the command line. + +#. Provide the directory and the file extension, which will be used to search + for and reduce all files found. + +An example file named ``input.rawfiles`` used in the first approach could look +like this: + +.. code-block:: console + + # Data block + raw read + path /path/to/files + filename + b1.fits.gz + b10.fits.gz + b27.fits.gz + raw end + +and you would pass it to the QL script using the ``--raw_files`` command-line argument: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files input.rawfiles + +You will get identical behavior if you instead used + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files + +Finally, if those three files are the *only* files with the relevant extension +in ``/path/to/files``, the third entry option would look like this: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_path /path/to/files --ext fits.gz + +In this example (see more below), the three files are an arc-lamp exposure +(``b1.fits.gz``), a dome-flat exposure (``b10.fits.gz``), and an on-sky science +exposure (``b27.fits.gz``). For the QL script to work, PypeIt must be able to +classify these frames as such automatically. The only exception is that you can +specify which of the files are science file using the ``--sci_files`` option. +Importantly, files listed using the ``sci_files`` option must also be listed +among the ``raw_files``. I.e., to specify the science frame in the above +example, the call would be: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files --sci_files b27.fits.gz + + + + Folder tree +++++++++++ diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index c90928a8c8..539e9216e9 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -414,4 +414,56 @@ def _base_header(self, hdr=None): # Return return _hdr + @classmethod + def glob(cls, calib_dir, setup, calib_id, detname=None): + """ + Search for calibration files. + + Args: + calib_dir (:obj:`str`, `Path`_): + Directory to search + setup (:obj:`str`): + The setup/configuration identifier (e.g., A, B, C, ...) of the calibrations + calib_id (:obj:`str`, :obj:`int`): + The *single* calibration group of the calibrations + detname (:obj:`str`, optional): + The identifier of the detector/mosaic of the calibrations. If + None, any relevant calibrations are returned. + + Returns: + :obj:`list`: List of paths to applicable calibration files. If no + relevant files are found, None is returned. + """ + # Check the path exists + _calib_dir = Path(calib_dir).resolve() + if not _calib_dir.exists(): + return None + + # Construct the search string + search = f'{cls.calib_type}*{setup}*' + if detname is not None: + search += f'{detname}*' + search += f'{cls.calib_file_format}' + + # Find all the relevant calibrations in the directory + files = np.array(sorted(_calib_dir.glob(search))) + if files.size == 0: + return None + + # For the remaining files, find the ones that have applicable + # calibration groups + keep = np.ones(files.size, dtype=bool) + for i, f in enumerate(files): + _calib_id = cls.parse_calib_key(cls.parse_key_dir(str(f), from_filename=True)[0])[1] + if _calib_id == 'all' or str(calib_id) in cls.ingest_calib_id(_calib_id): + continue + keep[i] = False + + # Return the applicable calibrations + return files[keep].tolist() if any(keep) else None + + + + + diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index 70b4adf8a0..efe706d317 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -191,40 +191,67 @@ def __init__(self, fitstbl, par, spectrograph, caldir, qadir=None, self.success = False self.failed_step = None - def _prep_calibrations(self, frametype): + def find_calibrations(self, frametype, frameclass): """ - Find all frames matching a given calibration type and return the - necessary calibration identifiers. - - Args: - frametype (:obj:`str`): - Calibration frame type. Must be a valid frame type; see - :func:`~pypeit.core.framematch.valid_frametype`. - - Returns: - :obj:`tuple`: Returns a :obj:`list` of image files matching the - input type, the setup/configuration string, and the calibration group string. + Find calibration files and identifiers. + + Parameters + ---------- + frametype : :obj:`str` + Calibration frame type. Must be a valid frame type; see + :func:`~pypeit.core.framematch.valid_frametype`. + frameclass : :class:`~pypeit.calibframe.CalibFrame` + The subclass used to store the processed calibration data. + + Returns + ------- + raw_files : :obj:`list` + The list of raw files in :attr:`fitstbl` with the provided + frametype. + cal_file : `Path`_ + The path with/for the processed calibration frame + calib_key : :obj:`str` + The calibration identifier + setup : :obj:`str` + The setup/configuration identifier + calib_id : :obj:`list` + The calibration groups + detname : :obj:`str` + The detector/mosaic identifier """ # NOTE: This will raise an exception if the frametype is not valid! - valid = framematch.valid_frametype(frametype, raise_error=True) + framematch.valid_frametype(frametype, raise_error=True) + if not issubclass(frameclass, CalibFrame): + msgs.error(f'CODING ERROR: {frameclass} is not a subclass of CalibFrame.') - # Grab rows and files + # Grab rows with relevant frames + detname = self.spectrograph.get_det_name(self.det) rows = self.fitstbl.find_frames(frametype, calib_ID=self.calib_ID, index=True) - if len(rows) == 0: - return [], None, None - # Grab the setup and calibration id(s) - if self.par[f'{frametype}frame']['process']['calib_setup_and_bit'] is None: - setup = self.fitstbl['setup'][rows[0]] - # Here calib_id is a string of comma-separated values - calib_id = self.fitstbl['calib'][rows[0]] - else: - setup, calib_id \ - = self.par[f'{frametype}frame']['process']['calib_setup_and_bit'].split('_') - # Here calib_id is a list of strings - calib_id = calib_id.split('-') + if len(rows) == 0: + # No raw files are available. Attempt to find an existing and + # relevant calibration frame based on the setup/configuration and + # calibration group of the (science) frame to be calibrated. + setup = self.fitstbl['setup'][self.frame] + cal_file = frameclass.glob(self.calib_dir, setup, self.calib_ID, detname=detname) + if cal_file is None or len(cal_file) > 1: + return [], None, None, setup, None, detname + + cal_file = cal_file[0] + calib_key = frameclass.parse_key_dir(str(cal_file), from_filename=True)[0] + calib_id = frameclass.parse_calib_key(calib_key)[1] + return [], cal_file, calib_key, setup, frameclass.ingest_calib_id(calib_id), detname + + # Otherwise, use the metadata for the raw frames to set the name of + # the processed calibration frame. + setup = self.fitstbl['setup'][rows[0]] + calib_id = self.fitstbl['calib'][rows[0]] + calib_key = frameclass.construct_calib_key(setup, calib_id, detname) + # Construct the expected calibration frame file name + cal_file = Path(frameclass.construct_file_name(calib_key, calib_dir=self.calib_dir)) - return self.fitstbl.frame_paths(rows), setup, CalibFrame.ingest_calib_id(calib_id) + return self.fitstbl.frame_paths(rows), cal_file, calib_key, setup, \ + frameclass.ingest_calib_id(calib_id), detname def set_config(self, frame, det, par=None): """ @@ -273,30 +300,25 @@ def get_arc(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_files, setup, calib_id = self._prep_calibrations('arc') + # Find the calibrations + frame = {'type': 'arc', 'class': buildimage.ArcImage} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) - if len(raw_files) == 0: - # There are no arc files, so we're done! + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.msarc = None - msgs.warn('No frametype=arc files available!') return self.msarc - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - arc_file = Path(buildimage.ArcImage.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if arc_file.exists() and self.reuse_calibs: - self.msarc = buildimage.ArcImage.from_file(arc_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.msarc = frame['class'].from_file(cal_file) return self.msarc # Otherwise, create the processed file. - msgs.info(f'Preparing a {buildimage.ArcImage.calib_type} calibration frame.') + msgs.info(f'Preparing a {frame["class"].calib_type} calibration frame.') self.msarc = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['arcframe'], raw_files, bias=self.msbias, bpm=self.msbpm, @@ -318,30 +340,25 @@ def get_tiltimg(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_files, setup, calib_id = self._prep_calibrations('tilt') + # Find the calibrations + frame = {'type': 'tilt', 'class':buildimage.TiltImage} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) - if len(raw_files) == 0: - # There are no tilt files, so we're done! + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.mstilt = None - msgs.warn('No frametype=tilt files available!') return self.mstilt - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - tilt_file = Path(buildimage.TiltImage.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if tilt_file.exists() and self.reuse_calibs: - self.mstilt = buildimage.TiltImage.from_file(tilt_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.mstilt = frame['class'].from_file(cal_file) return self.mstilt # Otherwise, create the processed file. - msgs.info(f'Preparing a {buildimage.TiltImage.calib_type} calibration frame.') + msgs.info(f'Preparing a {frame["class"].calib_type} calibration frame.') self.mstilt = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['tiltframe'], raw_files, bias=self.msbias, bpm=self.msbpm, @@ -368,30 +385,26 @@ def get_align(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_files, setup, calib_id = self._prep_calibrations('align') + # Find the calibrations + frame = {'type': 'align', 'class': alignframe.Alignments} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) - if len(raw_files) == 0: - # There are no arc files, so we're done! + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.alignments = None return self.alignments - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - align_file = Path(alignframe.Alignments.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if align_file.exists() and self.reuse_calibs: - self.alignments = alignframe.Alignments.from_file(align_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.alignments = frame['class'].from_file(cal_file) self.alignments.is_synced(self.slits) return self.alignments # Otherwise, create the processed file. - msgs.info(f'Preparing a {alignframe.Alignments.calib_type} calibration frame.') + msgs.info(f'Preparing a {frame["class"].calib_type} calibration frame.') msalign = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['alignframe'], raw_files, bias=self.msbias, bpm=self.msbpm, @@ -420,28 +433,25 @@ def get_bias(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_files, setup, calib_id = self._prep_calibrations('bias') + # Find the calibrations + frame = {'type': 'bias', 'class': buildimage.BiasImage} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) - if len(raw_files) == 0: - # There are no bias files, so we're done! + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.msbias = None return self.msbias - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - bias_file = Path(buildimage.BiasImage.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if bias_file.exists() and self.reuse_calibs: - self.msbias = buildimage.BiasImage.from_file(bias_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.msbias = frame['class'].from_file(cal_file) return self.msbias # Otherwise, create the processed file. + msgs.info(f'Preparing a {frame["class"].calib_type} calibration frame.') self.msbias = buildimage.buildimage_fromlist(self.spectrograph, self.det, self.par['biasframe'], raw_files, calib_dir=self.calib_dir, setup=setup, @@ -462,25 +472,21 @@ def get_dark(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_files, setup, calib_id = self._prep_calibrations('dark') + # Find the calibrations + frame = {'type': 'dark', 'class': buildimage.DarkImage} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) - if len(raw_files) == 0: - # There are no dark files, so we're done! + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.msdark = None return self.msdark - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - dark_file = Path(buildimage.DarkImage.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if dark_file.exists() and self.reuse_calibs: - self.msdark = buildimage.DarkImage.from_file(dark_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.msdark = frame['class'].from_file(cal_file) return self.msdark # TODO: If a bias has been constructed and it will be subtracted from @@ -551,30 +557,34 @@ def get_flats(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_pixel_files, pixel_setup, pixel_calib_id = self._prep_calibrations('pixelflat') - raw_illum_files, illum_setup, illum_calib_id = self._prep_calibrations('illumflat') - raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] + pixel_frame = {'type': 'pixelflat', 'class': flatfield.FlatImages} + raw_pixel_files, pixel_cal_file, pixel_calib_key, pixel_setup, pixel_calib_id, detname \ + = self.find_calibrations(pixel_frame['type'], pixel_frame['class']) - if len(raw_pixel_files) == 0 and len(raw_illum_files) == 0: - self.flatimages = None - msgs.warn('No frametype=pixelflat or illumflat files to build flat-field images') - return self.flatimages - - setup = illum_setup if len(raw_pixel_files) == 0 else pixel_setup - calib_id = illum_calib_id if len(raw_pixel_files) == 0 else pixel_calib_id + illum_frame = {'type': 'illumflat', 'class': flatfield.FlatImages} + raw_illum_files, illum_cal_file, illum_calib_key, illum_setup, illum_calib_id, detname \ + = self.find_calibrations(illum_frame['type'], illum_frame['class']) - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) + raw_lampoff_files = self.fitstbl.find_frame_files('lampoffflats', calib_ID=self.calib_ID) - # Construct the expected calibration frame file name - flat_file = Path(flatfield.FlatImages.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() + if len(raw_pixel_files) == 0 and pixel_cal_file is None \ + and len(raw_illum_files) == 0 and illum_cal_file is None: + msgs.warn(f'No raw {pixel_frame["type"]} or {illum_frame["type"]} frames found and ' + 'unable to identify a relevant processed calibration frame. Continuing...') + self.flatimages = None + return self.flatimages - # If it exists and we want to reuse it, do so: - if flat_file.exists() and self.reuse_calibs: - self.flatimages = flatfield.FlatImages.from_file(flat_file) + # If a processed calibration frame exists and we want to reuse it, do + # so. The processed pixel_flat takes precedence, and a warning is + # issued if both are present and not the same. + if illum_cal_file is not None and pixel_cal_file is not None \ + and pixel_cal_file != illum_cal_file: + msgs.warn('Processed calibration frames were found for both pixel and ' + 'slit-illumination flats, and the files are not the same. Ignoring the ' + 'slit-illumination flat.') + cal_file = illum_cal_file if pixel_cal_file is None else pixel_cal_file + if cal_file.exists() and self.reuse_calibs: + self.flatimages = flatfield.FlatImages.from_file(cal_file) self.flatimages.is_synced(self.slits) # Load user defined files if self.par['flatfield']['pixelflat_file'] is not None: @@ -587,7 +597,7 @@ def get_flats(self): self.slits.mask_flats(self.flatimages) return self.flatimages - # Generate the image + # Generate the image(s) from scratch pixelflatImages, illumflatImages = None, None lampoff_flat = None # Check if the image files are the same @@ -618,12 +628,13 @@ def get_flats(self): calib_key=calib_key) # Generate pixelflatImages = pixelFlatField.run(doqa=self.write_qa, show=self.show) - # Set flatimages in case we want to apply the pixel-to-pixel sensitivity corrections to the illumflat + # Set flatimages in case we want to apply the pixel-to-pixel + # sensitivity corrections to the illumflat self.flatimages = pixelflatImages # Only build illum_flat if the input files are different from the pixel flat if not pix_is_illum and len(raw_illum_files) > 0: - msgs.info('Creating illumination flat calibration frame using files: ') + msgs.info('Creating slit-illumination flat calibration frame using files: ') for f in raw_illum_files: msgs.prindent(f'{Path(f).name}') illum_flat = buildimage.buildimage_fromlist(self.spectrograph, self.det, @@ -669,7 +680,7 @@ def get_flats(self): # Save slits too, in case they were tweaked self.slits.to_file() - # 3) Load user-supplied images + # Apply user-supplied images # NOTE: These are the *final* images, not just a stack, and it will # over-ride what is generated below (if generated). @@ -703,25 +714,21 @@ def get_slits(self): self._chk_set(['det', 'calib_ID', 'par']) # Prep - raw_trace_files, setup, calib_id = self._prep_calibrations('trace') - raw_lampoff_files = self._prep_calibrations('lampoffflats')[0] - - if len(raw_trace_files) == 0: + frame = {'type': 'trace', 'class': slittrace.SlitTraceSet} + raw_trace_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) + raw_lampoff_files = self.fitstbl.find_frame_files('lampoffflats', calib_ID=self.calib_ID) + + if len(raw_trace_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.slits = None - msgs.warn('No frametype=trace files to build slits') return self.slits - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - slits_file = Path(slittrace.SlitTraceSet.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if slits_file.exists() and self.reuse_calibs: - self.slits = slittrace.SlitTraceSet.from_file(slits_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.slits = frame['class'].from_file(cal_file) self.slits.mask = self.slits.mask_init.copy() if self.user_slits is not None: self.slits.user_mask(detname, self.user_slits) @@ -765,8 +772,12 @@ def get_slits(self): if not edges.success: # Something went amiss msgs.warn('Edge tracing failed. Continuing, but likely to fail soon...') + traceImage = None + edges = None self.success = False - return None + self.slits = None + return self.slits + # Save the result edges.to_file() @@ -782,7 +793,6 @@ def get_slits(self): self.slits.to_file() if self.user_slits is not None: self.slits.user_mask(detname, self.user_slits) - return self.slits def get_wv_calib(self): @@ -809,25 +819,21 @@ def get_wv_calib(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Prep - raw_files, setup, calib_id = self._prep_calibrations('arc') - if len(raw_files) == 0: - # There are no arc files, so we're done! + # Find the calibrations + frame = {'type': 'arc', 'class': wavecalib.WaveCalib} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) + + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.wv_calib = None - msgs.warn('No frametype=arc files available!') return self.wv_calib - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - wvcalib_file = Path(wavecalib.WaveCalib.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - # If it exists and we want to reuse it, do so: - if wvcalib_file.exists() and self.reuse_calibs: - self.wv_calib = wavecalib.WaveCalib.from_file(wvcalib_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.wv_calib = wavecalib.WaveCalib.from_file(cal_file) self.wv_calib.chk_synced(self.slits) self.slits.mask_wvcalib(self.wv_calib) return self.wv_calib @@ -880,24 +886,21 @@ def get_tilts(self): # Check internals self._chk_set(['det', 'calib_ID', 'par']) - # Load up? - raw_files, setup, calib_id = self._prep_calibrations('tilt') - if len(raw_files) == 0: - # There are no tilt files, so we're done! + # Find the calibrations + frame = {'type': 'tilt', 'class': wavetilts.WaveTilts} + raw_files, cal_file, calib_key, setup, calib_id, detname \ + = self.find_calibrations(frame['type'], frame['class']) + + if len(raw_files) == 0 and cal_file is None: + msgs.warn(f'No raw {frame["type"]} frames found and unable to identify a relevant ' + 'processed calibration frame. Continuing...') self.wavetilts = None - msgs.warn('No frametype=tilt files available!') return self.wavetilts - # Construct the calibration key - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) - - # Construct the expected calibration frame file name - tilts_file = Path(wavetilts.WaveTilts.construct_file_name(calib_key, - calib_dir=self.calib_dir)).resolve() - - if tilts_file.exists() and self.reuse_calibs: - self.wavetilts = wavetilts.WaveTilts.from_file(tilts_file) + # If a processed calibration frame exists and we want to reuse it, do + # so: + if cal_file.exists() and self.reuse_calibs: + self.wavetilts = wavetilts.WaveTilts.from_file(cal_file) self.wavetilts.is_synced(self.slits) self.slits.mask_wavetilts(self.wavetilts) return self.wavetilts diff --git a/pypeit/core/wavecal/autoid.py b/pypeit/core/wavecal/autoid.py index 0f6683cb70..1f13e79161 100644 --- a/pypeit/core/wavecal/autoid.py +++ b/pypeit/core/wavecal/autoid.py @@ -757,7 +757,7 @@ def full_template(spec, lamps, par, ok_mask, det, binspectral, nsnippet=2, # Find the shift ncomb = temp_spec.size - # Remove the continuum before adding the padding to ispec + # Remove the continuum before adding the padding to obs_spec_i _, _, _, _, obs_spec_cont_sub = wvutils.arc_lines_from_spec(obs_spec_i) _, _, _, _, templ_spec_cont_sub = wvutils.arc_lines_from_spec(temp_spec) # Pad @@ -803,13 +803,13 @@ def full_template(spec, lamps, par, ok_mask, det, binspectral, nsnippet=2, mwv = temp_wv[i0:i0 + nspec] # Loop on snippets - nsub = ispec.size // nsnippet + nsub = obs_spec_i.size // nsnippet sv_det, sv_IDs = [], [] for kk in range(nsnippet): # Construct j0 = nsub * kk - j1 = min(nsub*(kk+1), ispec.size) - tsnippet = ispec[j0:j1] + j1 = min(nsub*(kk+1), obs_spec_i.size) + tsnippet = obs_spec_i[j0:j1] msnippet = mspec[j0:j1] mwvsnippet = mwv[j0:j1] # TODO: JFH This continue statement deals with the case when the msnippet derives from *entirely* zero-padded @@ -850,7 +850,7 @@ def full_template(spec, lamps, par, ok_mask, det, binspectral, nsnippet=2, continue # Fit try: - final_fit = wv_fitting.iterative_fitting(ispec, dets, gd_det, + final_fit = wv_fitting.iterative_fitting(obs_spec_i, dets, gd_det, IDs[gd_det], line_lists, bdisp, verbose=False, n_first=par['n_first'], match_toler=par['match_toler'], diff --git a/pypeit/io.py b/pypeit/io.py index 6834c1631f..7a8fa1b4fd 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -232,6 +232,7 @@ def remove_suffix(file): _file = Path(file) return (_file.with_suffix('')).stem if _file.suffix == '.gz' else _file.stem + def parse_hdr_key_group(hdr, prefix='F'): """ Parse a group of fits header values grouped by a keyword prefix. @@ -845,43 +846,50 @@ def create_symlink(filename, symlink_dir, relative_symlink=False, overwrite=Fals os.symlink(olink_src, olink_dest) -def grab_rawfiles(raw_paths:list=None, - file_of_files:str=None, - list_of_files:list=None, - extension:str='.fits'): - """ Grab the list of raw files +def grab_rawfiles(file_of_files:str=None, list_of_files:list=None, raw_paths:list=None, + extension:str='.fits'): + """ + Parse a set of raw files from the input. + + Although all arguments are optional, one of ``file_of_files``, + ``list_of_files``, or ``raw_paths`` must be true. Precedence is given in + that order; i.e., if ``file_of_files`` is provided, all other arguments are + ignored. Args: - raw_paths (list, optional): - List of paths to raw files file_of_files (str, optional): - File with list of raw files. PypeIt input file formatted + File with list of raw files. Format must follow the + :ref:`input-files-data-block` of a PypeIt file, and the only + required column is the filename. list_of_files (list, optional): - List of raw files (str). These are combined with raw_paths + List of raw files (str). Ignored if ``file_of_files`` is provided. + If ``raw_paths`` is None, the path is assumed to be the current + working directory. + raw_paths (list, optional): + One or more paths with the raw files. Ignored if ``file_of_files`` + is provided. If ``list_of_files`` is None, all files with the + provided extension are assumed to be raw files. extension (str, optional): - File extension to search on. Defaults to '.fits'. + File extension to search on. Ignored if ``file_of_files`` or + ``list_of_files`` is provided. Returns: list: List of raw data filenames with full path """ + if file_of_files is not None: + # PypeIt formatted list of files + return inputfiles.RawFiles.from_file(file_of_files).filenames + + _raw_paths = [Path().resolve()] if raw_paths is None \ + else [Path(p).resolve() for p in raw_paths] + + if list_of_files is not None: + # An actual list + return [str(p / f) for p in _raw_paths for f in list_of_files if (p / f).exists()] - # Which option> - if file_of_files is not None: # PypeIt formatted list of files - iRaw = inputfiles.RawFiles.from_file(file_of_files) - data_files = iRaw.filenames - elif list_of_files is not None: # An actual list - data_files = [] - for raw_path in raw_paths: - for ifile in list_of_files: - if os.path.isfile(os.path.join(raw_path, ifile)): - data_files.append(os.path.join(raw_path, ifile)) - else: # Search in raw_paths for files with the given extension - data_files = [] - for raw_path in raw_paths: - data_files += files_from_extension(raw_path, - extension) - # Finish - return data_files + # Find all files that have the correct extension + return numpy.concatenate([files_from_extension(str(p), extension=extension) + for p in _raw_paths]).tolist() def files_from_extension(raw_path:str, diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 2b8cb2d096..62e604cdb1 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -529,9 +529,10 @@ def get_configuration_names(self, ignore=None, return_index=False, configs=None) list of strings (e.g., ['A','C']). Returns: - numpy.array: The list of unique setup names. A second - returned object provides the indices of the first occurrence - of these setups, if requested. + :obj:`tuple`, `numpy.ndarray`_: The list of unique setup names. A + tuple is returned with a second `numpy.ndarray`_ object providing + the indices of the first occurrence of these setups, if requested + (using ``return_index``). Raises: PypeItError: @@ -541,7 +542,9 @@ def get_configuration_names(self, ignore=None, return_index=False, configs=None) msgs.error('Cannot get setup names; run set_configurations.') # Unique configurations - setups, indx = np.unique(self['setup'], return_index=True) + # NOTE: This annoyingly returns Column types, not np.arrays! So need to + # specify that the data from the column be used. + setups, indx = np.unique(self['setup'].data, return_index=True) if ignore is not None: # Remove the selected configurations to ignore @@ -559,7 +562,7 @@ def get_configuration_names(self, ignore=None, return_index=False, configs=None) setups = setups[use] indx = indx[use] - return setups, indx if return_index else setups + return (setups, indx) if return_index else setups def _get_cfgs(self, copy=False, rm_none=False): """ diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 36832b0ddd..d83e223a30 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -288,7 +288,8 @@ def calib_all(self): grp_frames = frame_indx[in_grp] # Find the detectors to reduce - detectors = self.select_detectors() + detectors = self.select_detectors(self.spectrograph, self.par['rdx']['detnum'], + self.par['rdx']['slitspatnum']) msgs.info(f'Detectors to work on: {detectors}') # Loop on Detectors @@ -406,9 +407,10 @@ def reduce_all(self): for j, comb_id in enumerate(u_combid): # Quicklook mode? + # TODO: This is the only place this is used, I think... if self.par['rdx']['quicklook'] and j > 0: msgs.info("Quicklook mode. Only reducing science frames in firs comb_id group") - continue + break # frames = np.where(self.fitstbl['comb_id'] == comb_id)[0] # Find all frames whose comb_id matches the current frames bkg_id. @@ -448,7 +450,8 @@ def reduce_all(self): # Finish self.print_end_time() - def select_detectors(self): + @staticmethod + def select_detectors(spectrograph, detnum, slitspatnum): """ Get the set of detectors to be reduced. @@ -461,9 +464,7 @@ def select_detectors(self): :obj:`list`: List of unique detectors or detector mosaics to be reduced. """ - subset = self.par['rdx']['slitspatnum'] if self.par['rdx']['slitspatnum'] is not None \ - else self.par['rdx']['detnum'] - return self.spectrograph.select_detectors(subset=subset) + return spectrograph.select_detectors(subset=detnum if slitspatnum is None else slitspatnum) def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): """ @@ -544,7 +545,8 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): msgs.info(bg_msgs_string) # Find the detectors to reduce - detectors = self.select_detectors() + detectors = self.select_detectors(self.spectrograph, self.par['rdx']['detnum'], + self.par['rdx']['slitspatnum']) msgs.info(f'Detectors to work on: {detectors}') # Loop on Detectors -- Calibrate, process image, find objects diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index 98ee3f484a..747aaea89e 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -340,30 +340,36 @@ class is fully instantiated such that the user can return self.par, self.spectrograph, self.fitstbl + # TODO: I removed the calib_IDs option because it wasn't being used and it's + # going to be hard to do right! + # calib_IDs:list=None, + # calib_IDs (list, optional): + # List of calib IDs. def generate_ql_calib_pypeit_files(self, output_path:str, det:str=None, configs:str='all', - calib_IDs:list=None, bkg_redux:bool=False, - clobber:bool=False): - """ Generate the PypeIt files for the calibrations - for quicklook purposes. + overwrite:bool=False): + """ + Generate the PypeIt files for the calibrations for quicklook purposes. Args: output_path (str): Output path for the PypeIt files - det (str, optional): Detector/mosaic. Defaults to None. - configs (str, optional): Which configurations to generate. Defaults to 'all'. - clobber (bool, optional): Overwrite existing files. Defaults to False. - calib_IDs (list, optional): List of calib IDs. Defaults to None. - bkg_redux (bool, optional): Setup for A-B subtraction. Defaults to False. + det (str, optional): + Detector/mosaic. + configs (str, optional): + Which configurations to generate. + bkg_redux (bool, optional): + Setup for A-B subtraction. + overwrite (bool, optional): + Overwrite existing files. Returns: list: List of calib PypeIt files """ # Grab setups - setups, indx = self.fitstbl.get_configuration_names( - return_index=True) + setups = self.fitstbl.get_configuration_names() # Restrict on detector -- May remove this self.user_cfg = ['[rdx]', f'spectrograph = {self.spectrograph.name}'] @@ -371,32 +377,35 @@ def generate_ql_calib_pypeit_files(self, output_path:str, self.user_cfg += [f'detnum = {det}'] self.user_cfg += ['quicklook = True'] - # TODO -- Remove this if we can - # Calib ID - if calib_IDs is None: - self.fitstbl.table['calib'] = '0' - else: - self.fitstbl.table['calib'] = calib_IDs +# # TODO -- Remove this if we can +# # Calib ID +# if calib_IDs is None: +# self.fitstbl.table['calib'] = '0' +# else: +# self.fitstbl.table['calib'] = calib_IDs # Write the PypeIt files + # TODO: Exclude science/standard files from file? pypeit_files = self.fitstbl.write_pypeit( output_path=output_path, cfg_lines=self.user_cfg, write_bkg_pairs=bkg_redux, configs=configs) - # Rename calibs + # Rename name the pypeit files so that they're specific to the + # calibrations calib_pypeit_files = [] for pypeit_file, setup in zip(pypeit_files, setups): - - # Rename with _calib - calib_pypeit_file = pypeit_file.replace( - '_{}.pypeit'.format(setup), - '_calib_{}.pypeit'.format(setup)) - if clobber or (not os.path.isfile(calib_pypeit_file)): + calib_pypeit_file = pypeit_file.replace(f'_{setup}.pypeit', f'_calib_{setup}.pypeit') + if not os.path.isfile(calib_pypeit_file) or overwrite: + # The file doesn't exist or we want to overwrite it, so move the + # written pypeit file to its new name os.rename(pypeit_file, calib_pypeit_file) else: + # The calibration file already exists or we don't want to + # overwrite it, so remove the pypeit file that was written. os.remove(pypeit_file) + # At this point, the 'calib_pypeit_file' should always exist. calib_pypeit_files.append(calib_pypeit_file) return calib_pypeit_files diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 5fe5a44655..71a3658cc7 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -1,5 +1,5 @@ """ -Script for quick-look reductions for Multislit observations. +Script for quick-look PypeIt reductions. Use cases: @@ -19,66 +19,58 @@ .. include:: ../include/links.rst """ - +from pathlib import Path import os import time +import datetime import glob import shutil +from IPython import embed + import numpy as np import configobj from astropy.io import fits -import astropy +from astropy.table import Table -from pypeit import utils -#from pypeit import masterframe from pypeit import msgs from pypeit import pypeitsetup from pypeit import io from pypeit import pypeit +from pypeit.calibframe import CalibFrame from pypeit.core.parse import get_dnum, parse_binning from pypeit.scripts import scriptbase from pypeit.spectrographs import available_spectrographs from pypeit.slittrace import SlitTraceSet from pypeit import inputfiles -from IPython import embed - def folder_name_from_scifiles(sci_files:list): - """ Folder name for output of QL on science file(s) + """ + Construct the directory name for QL output. - If one file, use the filename minus any extensions (e.g. .fits.gz) - If multiple files, use a - separated string of the first - and last filenames + If one file, use the filename without its suffix (see + :func:`~pypeit.io.remove_suffix`). If multiple files, use a dash-separated + string of the first and last filenames (also without their suffixes). Args: - sci_files (list): List of science files + sci_files (:obj:`list`): + List of :obj:`str` or `Path`_ objects with the science files. Returns: - str: Folder name + :obj:`str`: Directory name """ - def strip_me_down(ifile): - base = os.path.basename(ifile) - ipos = base.find('.fits') # Will this fail for any spectrograph? - return base[:ipos] - - first_file = strip_me_down(sci_files[0]) if len(sci_files) == 1: - return first_file - else: - last_file = strip_me_down(sci_files[-1]) - return f'{first_file}-{last_file}' + return io.remove_suffix(sci_files[0]) + return '-'.join([io.remove_suffix(f) for f in [sci_files[0], sci_files[-1]]]) + def generate_sci_pypeitfile(redux_path:str, - sci_files:list, - master_calib_dir:str, - master_setup_and_bit:list, + ref_calib_dir:Path, ps_sci, det:str=None, - input_cfg_dict:dict=None, remove_sci_dir:bool=True, slitspatnum:str=None, maskID:str=None, @@ -90,9 +82,13 @@ def generate_sci_pypeitfile(redux_path:str, from the calib PypeIt file. The primary steps are: - - Genreate the science reduction folder based on the science filenames + + - Generate the science reduction folder based on the science filenames + - Generate a soft-link to the Masters/ folder provided by master_calib_dir + - Build the configuration lines for the PypeIt file + - Write the PypeIt file to disk in the science reduction folder Args: @@ -120,39 +116,79 @@ def generate_sci_pypeitfile(redux_path:str, tuple: name of pypeit file (str), pypeitFile object (:class:`~pypeit.inputfiles.PypeItFile`) """ - # Parse science file info - folder = folder_name_from_scifiles(sci_files) - sci_dir = os.path.join(redux_path, folder) - masters_dir = os.path.join(sci_dir, 'Masters') + # Check the directory with the reference calibrations exists + if not ref_calib_dir.exists(): + msgs.error(f'Reference calibration directory does not exist: {ref_calib_dir}') + + # Get the setup and calibration group to use for the science frame(s) + setup, calib = get_setup_calib(ref_calib_dir) + + # Force them in the fitstbl + # TODO: Make this series of operations a function in PypeItMetaData? + ps_sci.fitstbl['setup'] = setup + ps_sci.fitstbl.unique_configurations(force=True) + ps_sci.fitstbl['calib'] = calib + ps_sci.fitstbl._set_calib_group_bits() + + # If stacking, make sure the combination group is added and set to the same + # value for all science frames + if len(ps_sci.fitstbl) > 1 and stack and not bkg_redux: + ps_sci.fitstbl.set_combination_groups(assign_objects=False) + ps_sci.fitstbl['comb_id'] = 1 + + # Set the I/O directories + _redux_path = Path(redux_path).resolve() + sci_dir = _redux_path / folder_name_from_scifiles(ps_sci.fitstbl['filename'].data) + calib_dir = sci_dir / ps_sci.par['calibrations']['calib_dir'] # Science reduction folder - if os.path.isdir(sci_dir) and remove_sci_dir: + if sci_dir.exists() and remove_sci_dir: shutil.rmtree(sci_dir) - if not os.path.isdir(sci_dir): - os.makedirs(sci_dir) - - # Link to Masters - if not os.path.isdir(masters_dir): - os.symlink(master_calib_dir, masters_dir) + # NOTE: This is done here (as opposed to waiting for the pypeit.PypeIt call + # to create it) so that the symlink to the calibrations directory can be + # created. + if not sci_dir.exists(): + sci_dir.mkdir(parents=True) + + # If the science directory wasn't removed and the new calibration directory + # already exists, check that it points to the right directory. If not, + # raise an error. + if calib_dir.exists() and calib_dir.is_link() and calib_dir.readlink() != ref_calib_dir: + msgs.error(f'Symlink to calibrations directory ({calib_dir}) already exists and points ' + f'to {calib_dir.readlink()} instead of {ref_calib_dir}. Re-run quicklook ' + f'forcing the existing reductions in {sci_dir} to be removed.') + # Create the symlink if it doesn't already exist + if not calib_dir.exists(): + calib_dir.symlink_to(ref_calib_dir, target_is_directory=True) # Configure - user_cfg = ['[rdx]', f'spectrograph = {ps_sci.spectrograph.name}'] + cfg = {} + cfg['rdx'] = {} + cfg['rdx']['spectrograph'] = ps_sci.spectrograph.name + cfg['rdx']['redux_path'] = str(sci_dir) + cfg['rdx']['quicklook'] = True if det is not None: - user_cfg += [f'detnum = {det}'] - user_cfg += ['quicklook = True'] - user_cfg += ['[baseprocess]', f'master_setup_and_bit = {master_setup_and_bit[0]}_{master_setup_and_bit[1]}'] - full_cfg = configobj.ConfigObj(user_cfg) + cfg['rdx']['detnum'] = det - # Add input configs - if input_cfg_dict is not None: - full_cfg.merge(configobj.ConfigObj(input_cfg_dict)) + # TODO: Allow for input configurations? +# if input_cfg_dict is not None: +# full_cfg.merge(configobj.ConfigObj(input_cfg_dict)) - # maskID specified? + # Select to reduce a specific slit selected by its maskID if maskID is not None: - # Loop on SlitTrace files - slittrace_files = glob.glob(os.path.join( - masters_dir, - f'MasterSlits_{master_setup_and_bit[0]}_{master_setup_and_bit[1]}_*')) + # Get all the slit trace files in the calibrations directory + slittrace_files = np.array(sorted(calib_dir.glob('Slits*'))) + # Filter based on the setup and calibration group + keep = np.ones(slittrace_files.size, dtype=bool) + for i, f in enumerate(slittrace_files): + _setup, _calib, _detname = CalibFrame.parse_calib_key( + CalibFrame.parse_key_dir(str(f), from_filename=True)[0]) + keep[i] = _setup == setup and _calib in ['all', calib] + if not any(keep): + msgs.error('Could not find valid Slits calibration frame!') + slittrace_files = slittrace_files[keep] + + # Iterate through each file to find the one with the relevant mask ID. detname = None for sliittrace_file in slittrace_files: slitTrace = SlitTraceSet.from_file(sliittrace_file) @@ -160,93 +196,85 @@ def generate_sci_pypeitfile(redux_path:str, detname = slitTrace.detname # Mosaic? mosaic = True if detname[0:3] == 'MSC' else False - det_id = np.where( - ps_sci.spectrograph.list_detectors( - mosaic=mosaic) == detname)[0][0] - # Set det - if mosaic: - detnum = [ps_sci.spectrograph.allowed_mosaics[det_id]] - else: - detnum = det_id+1 # 1-based indexing - # Break + det_id = np.where(ps_sci.spectrograph.list_detectors(mosaic=mosaic) == detname)[0] + if len(det_id) == 0: + detname = None # Reset + continue # TODO: or fault? + # Set det for reduction + detnum = [ps_sci.spectrograph.allowed_mosaics[det_id[0]]] if mosaic else det_id[0]+1 break if detname is None: - msgs.error('Could not find a SlitTrace file with maskID={}'.format(maskID)) + msgs.error(f'Could not find a SlitTrace file with maskID={maskID}') # Add to config - maskID_dict = dict(rdx=dict(detnum=detnum, - maskIDs=maskID)) - full_cfg.merge(configobj.ConfigObj(maskID_dict)) - - # slitspatnum specified? - if slitspatnum is not None: #'rdx' in full_cfg.keys() and 'slitspatnum' in full_cfg['rdx'].keys(): - ssn_dict = dict(rdx=dict(slitspatnum=slitspatnum)) - full_cfg.merge(configobj.ConfigObj(ssn_dict)) - - # Boxcar radius? - if boxcar_radius is not None: - # Add to config - boxcar_lines = ['[reduce]', '[[extraction]]', f'boxcar_radius = {boxcar_radius}'] - full_cfg.merge(configobj.ConfigObj(boxcar_lines)) - + cfg['rdx']['detnum'] = detnum + cfg['rdx']['maskIDs'] = maskID - # Generate PypeIt file - config_lines = full_cfg.write() - - # Setup, forcing name to match Masters - setup = ps_sci.fitstbl.configs.copy() - key = list(setup.keys())[0] - setup[f'Setup {master_setup_and_bit[0]}'] = setup[key].copy() - setup.pop(key) - # Odds and ends at the finish - output_cols = ps_sci.fitstbl.set_pypeit_cols(write_bkg_pairs=True, - write_manual=False) - file_paths = np.unique([os.path.dirname(ff) for ff in sci_files]).tolist() - - # Stack? - if len(sci_files) > 1 and stack and not bkg_redux: - ps_sci.fitstbl['comb_id'] = 1 - - # Generate - pypeitFile = inputfiles.PypeItFile( - config=config_lines, - file_paths=file_paths, - data_table=ps_sci.fitstbl.table[output_cols], - setup=setup) - - # Write - pypeit_file = f'{ps_sci.spectrograph.name}_{master_setup_and_bit[0]}.pypeit' - science_pypeit_filename = os.path.join(sci_dir, pypeit_file) - pypeitFile.write(science_pypeit_filename) - - # Return - return science_pypeit_filename, pypeitFile + # Select to reduce a slit based on its spatial position on the detector? + # TODO: Are slitspatnum and maskID mutually exclusive? I.e., should this + # use `elif` instead of `if`? + if slitspatnum is not None: + cfg['rdx']['slitspatnum'] = slitspatnum + # Add the boxcar radius if specified + if boxcar_radius is not None: + cfg['redux'] = {'extraction': {'boxcar_radius': boxcar_radius}} + + # Write the pypeit file (note this returns the filename, not the list) + return ps_sci.fitstbl.write_pypeit(output_path=sci_dir, + cfg_lines=configobj.ConfigObj(cfg).write(), + write_bkg_pairs=True, configs=setup)[0] + +# # Odds and ends at the finish +# output_cols = ps_sci.fitstbl.set_pypeit_cols(write_bkg_pairs=True, write_manual=False) +# file_paths = np.unique([os.path.dirname(ff) for ff in sci_files]).tolist() +# +# # Generate +# pypeitFile = inputfiles.PypeItFile( +# config=config_lines, +# file_paths=file_paths, +# data_table=ps_sci.fitstbl.table[output_cols], +# setup=setup) +# +# # Write +# pypeit_file = f'{ps_sci.spectrograph.name}_{master_setup_and_bit[0]}.pypeit' +# science_pypeit_filename = os.path.join(sci_dir, pypeit_file) +# pypeitFile.write(science_pypeit_filename) + +# # Return +# return science_pypeit_filename, pypeitFile def match_science_to_calibs(ps_sci:pypeitsetup.PypeItSetup, calib_dir:str): """ - Match a given science frame to the set of pre-made calibrations - in the specified reduction folder. If any exists + Match a set of science frames to the set of pre-made calibrations in the + specified reduction folder, if any exists. Args: ps_sci (:class:`pypeit.pypeitsetup.PypeItSetup`): - calib_dir (str): Full path to the calibration directory + Object providing metadata and parameters necessary to execute PypeIt + data reduction. It is expected that this *only* includes science + frames. + calib_dir (:obj:`str`): + Full path to the calibration directory. This directory must exist. Returns: - tuple: str, str - Name of PypeIt file for calibrations - Full path to Masters - + :obj:`tuple`: Provides the PypeIt file used to build the calibrations + and the full path to the calibration directory. """ # Check on one setup if len(ps_sci.fitstbl.configs.keys()) > 1: msgs.error('Your science files come from more than one setup. Please reduce them separately.') + + # Check the calibration directory exists + _calib_dir = Path(calib_dir).resolve() + if not _calib_dir.exists(): + msgs.error(f'Calibration directory does not exist: {_calib_dir}') + # Check against existing calibration PypeIt files - pypeit_files = glob.glob(os.path.join( - calib_dir, f'{ps_sci.spectrograph.name}_*', - f'{ps_sci.spectrograph.name}_calib_*.pypeit')) + pypeit_files = sorted(_calib_dir.glob( + f'{ps_sci.spectrograph.name}_*/{ps_sci.spectrograph.name}_calib_*.pypeit')) mtch = [] for pypeit_file in pypeit_files: # Read @@ -257,62 +285,162 @@ def match_science_to_calibs(ps_sci:pypeitsetup.PypeItSetup, for key in ps_sci.spectrograph.configuration_keys(): if ps_sci.fitstbl.configs['A'][key] != pypeitFile.setup[key]: match = False + break + + # Found one, so add it if match: mtch.append(pypeit_file) + # Are we ok? if len(mtch) == 0: - msgs.error("Matched to zero setups. The calibrations files are stale/wrong/corrupt..") + msgs.error('Matched to zero setups. The calibrations files are stale/wrong/corrupt.') elif len(mtch) > 1: - msgs.warn("Matched to multiple setups. This should not have happened, but we will take the first.") + msgs.warn('Matched to multiple setups. This should not have happened, but we will take ' + 'the first.') - # Master dir - masters_dir = os.path.join(os.path.dirname(mtch[0]), 'Masters') + # NOTE: Assumes ps_sci.par['calibrations']['calib_dir'] is the same as the + # default, and the default was used when the calibrations were processed. + return mtch[0], mtch[0].parent / ps_sci.par['calibrations']['calib_dir'] + + +def get_setup_calib(calib_dir): + """ + Using all of the files found in the provided directory, determine the setup + and calibration group to use for the quicklook science frame(s). + + Args: + calib_dir (:obj:`str`, `Path`_): + Directory with the calibration files. + + Returns: + :obj:`tuple`: The setup name and calibration group. + """ + _calib_dir = Path(calib_dir).resolve() + + # Check there are files in the directory + calib_files = sorted(_calib_dir.glob('*')) + if len(calib_files) == 0: + msgs.error(f'Calibrations directory is empty: {_calib_dir}') + + # For each file, try to parse the setup and calibration ID(s) + setups = [] + calibs = [] + for f in calib_files: + try: + setup, calib, detname = CalibFrame.parse_calib_key( + CalibFrame.parse_key_dir(str(f), from_filename=True)[0]) + except: + continue + setups += [setup] + calibs += [calib] # 'calib' is a comma-separated list of integers or 'all' + + # Find the unique setups + setups = np.unique(setups) + if len(setups) != 1: + msgs.error(f'Calibration files for more than one setup found in {_calib_dir}, ' + 'according to their file names. Calibration directory should only hold data ' + 'for *one* setup.') + setup = setups[0] + + # Get the unique calibration groups identifiers + unique_calibs = np.unique(np.concatenate([c.split(',') for c in calibs])).tolist() + # Ignore any calibs assigned to all + if 'all' in unique_calibs: + unique_calibs.remove('all') + if len(unique_calibs) == 0: + # Everything assigned to all, so just use a default number + return setup, '0' + if len(unique_calibs) == 1: + # There's only one calibration group, so use it. + return setup, unique_calibs[0] + + # TODO: For now, we fault here. For quick-look, this means there should + # only be one calibration group, or all the calibrations are assigned to + # 'all' calibration groups. Otherwise, we could have the user supply the + # calibration group. + msgs.error(f'Calibrations in {_calib_dir} are part of multiple calibration groups. Unclear ' + 'how to proceed.') - return mtch[0], masters_dir class QL(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): - parser = super().get_parser(description='Script to produce quick-look multislit PypeIt reductions', width=width) + parser = super().get_parser(description='Script to produce quick-look PypeIt reductions', + width=width) parser.add_argument('spectrograph', type=str, help='A valid spectrograph identifier: {0}'.format( ', '.join(available_spectrographs))) - parser.add_argument('--rawfile_list', type=str, - help='File providing raw files to reduce including their path(s)') - parser.add_argument('--full_rawpath', type=str, - help='Full path to the raw files. Used with --rawfiles or --raw_extension') - parser.add_argument('--raw_extension', type=str, default='.fits', - help='Extension for raw files in full_rawpath. Only use if --rawfile_list and --rawfiles are not provided') - parser.add_argument('--rawfiles', type=str, nargs='+', - help='space separated list of raw frames e.g. img1.fits img2.fits. These must exist within --full_rawpath') + + parser.add_argument('--raw_files', type=str, nargs='+', + help='Either a PypeIt-formatted input file with the list of raw ' + 'images to process and the relevant path, or a space-separated ' + 'list of the filenames (e.g., "img1.fits img2.fits"). For the ' + 'latter entry mode, the path containing the files is set using ' + '--raw_path.') + parser.add_argument('--raw_path', type=str, default='current working directory', + help='Directory with the raw files to process. Ignored if a ' + 'PypeIt-formatted file is provided using the --rawfiles option.') + parser.add_argument('--ext', type=str, default='.fits', + help='If raw file names are not provided directly using the ' + '--rawfiles option, this sets the extension used when searching ' + 'for any files in the path defined by --raw_path. All files ' + 'found in the raw path with this extension will be processed.') + parser.add_argument('--sci_files', type=str, nargs='+', - help='space separated list of raw frames to be specified as science exposures (over-rides PypeIt frame typing)') - parser.add_argument("--redux_path", type=str, default='current working directory', - help="Full path to where QL reduction should be run.") - parser.add_argument("--parent_calib_dir", type=str, - help="Location of folders for calibration reductions") - parser.add_argument("--setup_calib_dir", type=str, - help="Location of PypeIt Calibration files used for the reduction.") - parser.add_argument("--calibs_only", default=False, action="store_true", + help='A space-separated list of raw file names that are science ' + 'exposures. These files must *also* be in the list of raw ' + 'files. Use of this option overrides the automated PypeIt ' + 'frame typing.') + + parser.add_argument('--redux_path', type=str, default='current working directory', + help='Path for the QL reduction outputs.') + + parser.add_argument('--parent_calib_dir', type=str, + help='Directory with/for calibrations for *all* instrument ' + 'configurations/setups. If provided, the data for your ' + 'instrument configuration will be placed or pulled from a ' + 'relevant sub-directory. If None, the redux_path is used.') + parser.add_argument('--setup_calib_dir', type=str, + help='Directory with/for calibrations specific to your instrument ' + 'configuration/setup. Use of this option circumvents the ' + 'automated naming system for the configuration/setup ' + 'sub-directories. If None, it is assumed that no calibrations ' + 'exist and they must be created using the provided raw files. ' + 'The top-level directory is given by parent_calib_dir (or ' + 'redux_path) and the sub-directories follow the normal PypeIt ' + 'naming scheme.') + + # TODO: Add option to not overwrite existing reductions + + parser.add_argument('--calibs_only', default=False, action='store_true', help='Reduce only the calibrations?') - parser.add_argument("--clobber_calibs", default=False, - action="store_true", - help='Clobber existing calibration files?') + parser.add_argument('--overwrite_calibs', default=False, action='store_true', + help='Overwrite any existing calibration files?') parser.add_argument('--slitspatnum', type=str, help='Reduce the slit(s) as specified by the slitspatnum value(s)') parser.add_argument('--maskID', type=int, help='Reduce the slit(s) as specified by the maskID value(s)') parser.add_argument('--boxcar_radius', type=float, help='Set the radius for the boxcar extraction in arcseconds') - parser.add_argument('--det', type=str, help='Detector to reduce. Same format as detnum') - parser.add_argument('--no_stack', dest='stack', default=True, - action="store_false", + parser.add_argument('--det', type=str, nargs='+', + help='A space-separated set of detectors or detector mosaics to ' + 'reduce. By default, *all* detectors or default mosaics for ' + 'this instrument will be reduced. Detectors in a mosaic must ' + 'be a mosaic "allowed" by PypeIt and should be provided as ' + 'comma-separated integers (with no spaces). For example, to ' + 'separately reduce detectors 1 and 5 for Keck/DEIMOS, you would ' + 'use --det 1 5; to reduce mosaics made up of detectors 1,5 and ' + '3,7, you would use --det 1,5 3,7') + parser.add_argument('--no_stack', dest='stack', default=True, action='store_false', help='Do *not* stack multiple science frames') - parser.add_argument("--bkg_redux", default=False, action='store_true', - help='If set the script will perform difference imaging quicklook. Namely it will identify ' - 'sequences of AB pairs based on the dither pattern and perform difference imaging sky ' - 'subtraction and fit for residuals') + parser.add_argument('--bkg_redux', default=False, action='store_true', + help='If set the script will perform difference imaging. Namely it ' + 'will identify sequences of AB pairs based on the dither pattern ' + 'and perform difference imaging sky subtraction and fit for ' + 'residuals. This functionality only works for instruments where ' + 'PypeIt can automatically parse dither sequences from the file ' + 'headers.') return parser @@ -321,124 +449,159 @@ def main(args): tstart = time.perf_counter() - # Ingest Files - files = io.grab_rawfiles( - raw_paths=[args.full_rawpath], - file_of_files=args.rawfile_list, - list_of_files=args.rawfiles) + # Get the files to reduce + files = None + if args.raw_files is not None and len(args.raw_files) == 1: + # Try to read the file names as if they're in a file_of_files + try: + files = io.grab_rawfiles(file_of_files=args.raw_files[0]) + except: + # Failed, so assume its a raw file (only one calibration file?) and proceed + pass + if files is None: + try: + files = io.grab_rawfiles(raw_paths=[args.raw_path], list_of_files=args.raw_files, + extension=args.ext) + except PypeItError as e: + msgs.error('Unable to parse provided input files. Check --raw_files, --raw_path, ' + 'and/or --ext input.') + if len(files) == 0: + msgs.error('No files to read! Check --raw_files, --raw_path, and/or --ext input.') + + # Include an option to save the ingested file list as a PypeIt RawFile + # that can be edited? + # from pypeit.inputfiles import RawFiles + # tbl = Table() + # tbl['filename'] = [Path(r).resolve().name for r in files] + # RawFiles(file_paths=[args.raw_path], data_table=tbl).write('test.rawfiles') # Run PypeIt Setup on all the files - ps = pypeitsetup.PypeItSetup.from_rawfiles(files, - args.spectrograph) - ps.run(setup_only=True, no_write_sorted=True) - + ps = pypeitsetup.PypeItSetup.from_rawfiles(files, args.spectrograph) + ps.run(setup_only=True) + + # Check for any untyped files + unknown_types = [t is None for t in ps.fitstbl['frametype']] + if any(unknown_types): + # TODO: Remove them and keep going or fault? + # TODO: Check these against ones that have been specified as science using 'sci_files' + msgs.error('Could not determing frame types for the following files: ' + + ', '.join(ps.fitstbl['frametype'][unknown_types])) + # Calibrate, if necessary - calib_dir = args.calib_dir if args.calib_dir is not None else args.redux_path - if args.masters_dir is None: + parent_calib_dir = args.parent_calib_dir if args.parent_calib_dir is not None \ + else args.redux_path + if args.setup_calib_dir is None: # Generate PypeIt files (and folders) calib_pypeit_files = ps.generate_ql_calib_pypeit_files( - calib_dir, det=args.det, configs='all', - clobber=args.clobber_calibs, bkg_redux=args.bkg_redux) + parent_calib_dir, det=args.det, configs='all', + overwrite=args.overwrite_calibs, bkg_redux=args.bkg_redux) + # Process them for calib_pypeit_file in calib_pypeit_files: - redux_path = os.path.dirname(calib_pypeit_file) # Path to PypeIt file + # Path to PypeIt file + redux_path = Path(calib_pypeit_file).resolve().parent # Check for existing masters - master_files = glob.glob(os.path.join( - redux_path, 'Masters', 'Master*')) - if len(master_files) > 0 and not args.clobber_calibs: - msgs.info('Master files already exist. Skipping calibration.') + calib_files = list((redux_path / ps.par['calibrations']['calib_dir']).glob('*')) + if len(calib_files) > 0 and not args.overwrite_calibs: + msgs.info('Calibration files already exist. Skipping calibration.') continue + + # TODO: What happens for science frames that automatically get + # typed as `arc,science,tilt` with separate calibration groups? + + # TODO: There may be a non-negligible overhead, but we should be + # able to use Calibrations.get_association to get the list of + # calibrations that *should* exist to figure out if we need to + # do anything. The above just checks for any calibration + # files... + # Run - #embed(header='346 of ql.py') pypeIt = pypeit.PypeIt(calib_pypeit_file, - redux_path=redux_path, + redux_path=str(redux_path), calib_only=True) - calib_dict = pypeIt.calib_all() + pypeIt.calib_all() + if args.calibs_only: - msgs.info("Calibrations only requested. Exiting") + msgs.info('Calibrations only requested. Exiting.') return - # Science files - if args.sci_files is not None: - sci_idx = np.in1d(ps.fitstbl['filename'], args.sci_files) - else: - sci_idx = ps.fitstbl.find_frames('science') - + # Science files + # TODO: Include standards as well? Add a command-line option? + sci_idx = ps.fitstbl.find_frames('science') if args.sci_files is None \ + else np.in1d(ps.fitstbl['filename'].data, args.sci_files) if np.sum(sci_idx) == 0: - msgs.error('No science frames found in the provided files. Add at least one or specify using --sci_files.') + msgs.error('No science frames found in the provided files. Add at least one or ' + 'specify using --sci_files.') # Dither pattern? if args.bkg_redux: - sci_files = np.array(files)[sci_idx] +# _det = None if args.det is None else [eval(d) for d in args.det] +# detectors = pypeit.PypeIt.select_detectors(ps.spectrograph, _det, args.slitspatnum) # Binning - binspectral, binspatial = parse_binning( - ps.fitstbl['binning'][sci_idx][0]) + binspectral, binspatial = parse_binning(ps.fitstbl['binning'][sci_idx][0]) # Plate scale - _det = parse_det(args.det if args.det is not None else '1', - ps.spectrograph) - det_container = ps.spectrograph.get_detector_par( - _det, hdu=fits.open(files[0])) - platescale = det_container['platescale']*binspatial + # NOTE: Assumes that the platescale does not change between + # detectors or between observations! + platescale = ps.spectrograph.get_detector_par(1)['platescale']*binspatial # Report - print_offset_report(sci_files, ps.fitstbl[sci_idx], platescale) + print_offset_report(ps.fitstbl[sci_idx], platescale) # Generate science setup object - full_scifiles = [os.path.join(dir_path, sci_file) for dir_path, sci_file in zip( - ps.fitstbl['directory'][sci_idx], ps.fitstbl['filename'][sci_idx])] - ps_sci = pypeitsetup.PypeItSetup.from_rawfiles( - full_scifiles, ps.spectrograph.name) - ps_sci.run(setup_only=True, no_write_sorted=True) + # TODO: What happens for science frames that automatically get typed as + # `arc,science,tilt` with separate calibration groups? + sci_files = ps.fitstbl.frame_paths(sci_idx) + ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name) + ps_sci.run(setup_only=True) # Limit to a single science setup if len(ps_sci.fitstbl.configs.keys()) > 1: - msgs.error('Your science files come from more than one setup. Please reduce them separately.') - - # Masters dir and their setup - if args.masters_dir is None: - # Match to calibs - _, masters_dir = match_science_to_calibs( - ps_sci, calib_dir) - else: - masters_dir = args.masters_dir - - # Parse for setup - master_files = glob.glob(os.path.join( - masters_dir, 'Master*')) - if len(master_files) == 0: - msgs.error('No Master files found in {:s}'.format(masters_dir)) - master_key, _ = masterframe.grab_key_mdir( - master_files[0], from_filename=True) - masters_setup_and_bit = master_key.split(masterframe.sep1)[0:2] + msgs.error('Your science files come from more than one setup. They must be reduces ' + 'separately.') + + # Set the calibrations directory, either provided by the user or by + # matching the available setups to that used for the science files + setup_calib_dir = match_science_to_calibs(ps_sci, parent_calib_dir)[1] \ + if args.setup_calib_dir is None \ + else Path(args.setup_calib_dir).resolve() # Build the PypeIt file and link to Masters - sci_pypeit_file, _ = \ - generate_sci_pypeitfile( + sci_pypeit_file = generate_sci_pypeitfile( args.redux_path, - full_scifiles, - masters_dir, - masters_setup_and_bit, + setup_calib_dir, ps_sci, - maskID=args.maskID, - slitspatnum=args.slitspatnum, det=args.det, + slitspatnum=args.slitspatnum, + maskID=args.maskID, boxcar_radius=args.boxcar_radius, bkg_redux=args.bkg_redux, stack=args.stack) # Run it - redux_path = os.path.dirname(sci_pypeit_file) # Path to PypeIt file - pypeIt = pypeit.PypeIt(sci_pypeit_file, - reuse_masters=True, - redux_path=redux_path) + pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_calibs=True) pypeIt.reduce_all() pypeIt.build_qa() # COADD 2D GOES HERE - msgs.info(f'Quicklook completed in {utils.get_time_string(time.perf_counter()-tstart)} seconds') + exec_s = np.around(time.perf_counter()-tstart, decimals=1) + msgs.info(f'Quicklook execution time: {datetime.timedelta(seconds=exec_s)}') -def print_offset_report(files:list, fitstbl:astropy.table.Table, - platescale:float): + +def print_offset_report(fitstbl:Table, platescale:float): + """ + Print the dither pattern for a set of files to the screen. + + The files in the provided table must come from a single dither pattern! + + Args: + fitstbl (`astropy.table.Table`_): + Table with the file metadata. This should be the table extracted + from a :class:`~pypeit.metadata.PypeItMetaData` instance, selecting + the relevant science frames. + platescale (:obj:`float`): + The relevant (binned) pixelscale in arcsec/pixel. + """ # Parse + files = fitstbl['filename'].data offset_arcsec = fitstbl['dithoff'].data dither_pattern = fitstbl['dithpat'].data dither_id = fitstbl['dithpos'].data @@ -447,10 +610,6 @@ def print_offset_report(files:list, fitstbl:astropy.table.Table, # Proceed if len(np.unique(dither_pattern)) > 1: msgs.error('Script only supported for a single type of dither pattern.') - A_files = files[dither_id == 'A'] - B_files = files[dither_id == 'B'] - nA = len(A_files) - nB = len(B_files) # Print out a report on the offsets msg_string = msgs.newline() + '*******************************************************' @@ -462,24 +621,7 @@ def print_offset_report(files:list, fitstbl:astropy.table.Table, msg_string += msgs.newline() + '----------------------------------------------------' for iexp, file in enumerate(files): msg_string += msgs.newline() + ' {:s} {:s} {:6.2f} {:6.2f}'.format( - os.path.basename(file), dither_id[iexp], offset_arcsec[iexp], offset_arcsec[iexp] / platescale) + file, dither_id[iexp], offset_arcsec[iexp], offset_arcsec[iexp] / platescale) msg_string += msgs.newline() + '********************************************************' msgs.info(msg_string) -#TODO Need a utility routine to deal with this -# I bet one already exists. KW? -def parse_det(det, spectrograph): - if 'mosaic' in det: - mosaic = True - _det = spectrograph.default_mosaic - if _det is None: - msgs.error(f'{spectrograph.name} does not have a known mosaic') - else: - try: - _det = tuple(int(d) for d in det) - except: - msgs.error(f'Could not convert detector input to integer.') - mosaic = len(_det) > 1 - if not mosaic: - _det = _det[0] - return _det \ No newline at end of file diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index 3a8ea934c0..95a8bab061 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -1146,6 +1146,7 @@ def default_pypeit_par(cls): return par + # NOTE: This function is used by the dev-suite def get_ql_calib_dir(self, file): """ Returns calibration file directory for quicklook reductions. diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index 1246b4e369..cb15e9fc5c 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -130,8 +130,7 @@ def default_pypeit_par(cls): par['sensfunc']['IR']['telgridfile'] = 'TelFit_MaunaKea_3100_26100_R20000.fits' return par - - + # NOTE: This function is used by the dev-suite def get_ql_calib_dir(self, file): """ Returns calibrations file directory for quicklook reductions. diff --git a/pypeit/tests/test_io.py b/pypeit/tests/test_io.py index 2e686581b0..f172067e4d 100644 --- a/pypeit/tests/test_io.py +++ b/pypeit/tests/test_io.py @@ -1,7 +1,16 @@ """ Tests on io module """ +from pathlib import Path + +from IPython import embed + +from astropy.table import Table + from pypeit import io +from pypeit.inputfiles import RawFiles +from pypeit.tests.tstutils import data_path + def test_remove_suffix(): assert io.remove_suffix('unzipped_file.txt') == 'unzipped_file', 'bad unzipped removal' @@ -12,3 +21,27 @@ def test_remove_suffix(): assert io.remove_suffix('gzipped_file.fits.gz') == 'gzipped_file', 'bad gzipped removal' +def test_grab_rawfiles(): + + tst_file = Path(data_path('test.rawfiles')).resolve() + if tst_file.exists(): + tst_file.unlink() + + root = Path(data_path('')).resolve() + raw_files = [root / 'b11.fits.gz', root / 'b12.fits.gz'] + assert all([f.exists() for f in raw_files]), 'Files missing' + + tbl = Table() + tbl['filename'] = [r.name for r in raw_files] + RawFiles(file_paths=[str(root)], data_table=tbl).write(tst_file) + + _raw_files = io.grab_rawfiles(file_of_files=str(tst_file)) + assert [str(f) for f in raw_files] == _raw_files, 'Bad file_of_files read' + + _raw_files = io.grab_rawfiles(list_of_files=tbl['filename'], raw_paths=[str(root)]) + assert [str(f) for f in raw_files] == _raw_files, 'Bad list_of_files read' + + _raw_files = io.grab_rawfiles(raw_paths=[str(root)], extension='.fits.gz') + assert len(_raw_files) == 8, 'Found the wrong number of files' + assert all([str(root / f) in _raw_files for f in tbl['filename']]), 'Missing expected files' + diff --git a/pypeit/tests/test_runpypeit.py b/pypeit/tests/test_runpypeit.py index af595edcb6..f49c7b5437 100644 --- a/pypeit/tests/test_runpypeit.py +++ b/pypeit/tests/test_runpypeit.py @@ -14,6 +14,7 @@ from pypeit import specobjs from pypeit.par import pypeitpar + def test_run_pypeit(): # Just get a few files @@ -73,4 +74,3 @@ def test_run_pypeit(): shutil.rmtree(outdir) - From 6ee670860dec11a7d7a429585c6aa384b5a2f42e Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 5 Apr 2023 15:56:48 -0700 Subject: [PATCH 185/308] debugging, doc update, allow version+date to be overridden for doc purposes --- doc/api/pypeit.biasframe.rst | 8 -- doc/api/pypeit.rst | 1 - doc/help/pypeit_ql.rst | 97 +++++++++++++++--------- doc/help/pypeit_show_2dspec.rst | 5 +- doc/include/gemini_gnirs_A.pypeit.rst | 4 +- doc/include/keck_deimos_A.pypeit.rst | 4 +- doc/include/keck_nires_A.pypeit.rst | 9 ++- doc/include/shane_kast_blue_A.pypeit.rst | 4 +- doc/scripts/make_example_files.py | 36 +++++---- pypeit/calibrations.py | 3 + pypeit/inputfiles.py | 19 +++-- pypeit/metadata.py | 11 ++- pypeit/scripts/ql.py | 91 +++++++++------------- pypeit/scripts/setup.py | 14 +++- 14 files changed, 172 insertions(+), 134 deletions(-) delete mode 100644 doc/api/pypeit.biasframe.rst diff --git a/doc/api/pypeit.biasframe.rst b/doc/api/pypeit.biasframe.rst deleted file mode 100644 index 5da9c5b0f7..0000000000 --- a/doc/api/pypeit.biasframe.rst +++ /dev/null @@ -1,8 +0,0 @@ -pypeit.biasframe module -======================= - -.. automodule:: pypeit.biasframe - :members: - :private-members: - :undoc-members: - :show-inheritance: diff --git a/doc/api/pypeit.rst b/doc/api/pypeit.rst index 14edf9b3ba..118d321528 100644 --- a/doc/api/pypeit.rst +++ b/doc/api/pypeit.rst @@ -26,7 +26,6 @@ Submodules pypeit.alignframe pypeit.archive - pypeit.biasframe pypeit.bitmask pypeit.calibframe pypeit.calibrations diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index a4a1ecff81..340534019b 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -1,17 +1,17 @@ .. code-block:: console $ pypeit_ql -h - usage: pypeit_ql [-h] [--rawfile_list RAWFILE_LIST] - [--full_rawpath FULL_RAWPATH] [--raw_extension RAW_EXTENSION] - [--rawfiles RAWFILES [RAWFILES ...]] + usage: pypeit_ql [-h] [--raw_files RAW_FILES [RAW_FILES ...]] + [--raw_path RAW_PATH] [--ext EXT] [--sci_files SCI_FILES [SCI_FILES ...]] - [--redux_path REDUX_PATH] [--calib_dir CALIB_DIR] - [--masters_dir MASTERS_DIR] [--calibs_only] [--clobber_calibs] - [--slitspatnum SLITSPATNUM] [--maskID MASKID] - [--boxcar_radius BOXCAR_RADIUS] [--det DET] [--no_stack] + [--redux_path REDUX_PATH] [--parent_calib_dir PARENT_CALIB_DIR] + [--setup_calib_dir SETUP_CALIB_DIR] [--calibs_only] + [--overwrite_calibs] [--slitspatnum SLITSPATNUM] + [--maskID MASKID] [--boxcar_radius BOXCAR_RADIUS] + [--det DET [DET ...]] [--no_stack] [--bkg_redux] spectrograph - Script to produce quick-look multislit PypeIt reductions + Script to produce quick-look PypeIt reductions positional arguments: spectrograph A valid spectrograph identifier: bok_bc, @@ -36,35 +36,48 @@ optional arguments: -h, --help show this help message and exit - --rawfile_list RAWFILE_LIST - File providing raw files to reduce including their - path(s) (default: None) - --full_rawpath FULL_RAWPATH - Full path to the raw files. Used with --rawfiles or - --raw_extension (default: None) - --raw_extension RAW_EXTENSION - Extension for raw files in full_rawpath. Only use if - --rawfile_list and --rawfiles are not provided (default: - .fits) - --rawfiles RAWFILES [RAWFILES ...] - space separated list of raw frames e.g. img1.fits - img2.fits. These must exist within --full_rawpath - (default: None) + --raw_files RAW_FILES [RAW_FILES ...] + Either a PypeIt-formatted input file with the list of + raw images to process and the relevant path, or a space- + separated list of the filenames (e.g., "img1.fits + img2.fits"). For the latter entry mode, the path + containing the files is set using --raw_path. (default: + None) + --raw_path RAW_PATH Directory with the raw files to process. Ignored if a + PypeIt-formatted file is provided using the --rawfiles + option. (default: current working directory) + --ext EXT If raw file names are not provided directly using the + --rawfiles option, this sets the extension used when + searching for any files in the path defined by + --raw_path. All files found in the raw path with this + extension will be processed. (default: .fits) --sci_files SCI_FILES [SCI_FILES ...] - space separated list of raw frames to be specified as - science exposures (over-rides PypeIt frame typing) - (default: None) + A space-separated list of raw file names that are + science exposures. These files must *also* be in the + list of raw files. Use of this option overrides the + automated PypeIt frame typing. (default: None) --redux_path REDUX_PATH - Full path to where QL reduction should be run. (default: - current working directory) - --calib_dir CALIB_DIR - Location folders of calibration reductions (default: - None) - --masters_dir MASTERS_DIR - Location of PypeIt Master files used for the reduction. + Path for the QL reduction outputs. (default: current + working directory) + --parent_calib_dir PARENT_CALIB_DIR + Directory with/for calibrations for *all* instrument + configurations/setups. If provided, the data for your + instrument configuration will be placed or pulled from a + relevant sub-directory. If None, the redux_path is used. (default: None) + --setup_calib_dir SETUP_CALIB_DIR + Directory with/for calibrations specific to your + instrument configuration/setup. Use of this option + circumvents the automated naming system for the + configuration/setup sub-directories. If None, it is + assumed that no calibrations exist and they must be + created using the provided raw files. The top-level + directory is given by parent_calib_dir (or redux_path) + and the sub-directories follow the normal PypeIt naming + scheme. (default: None) --calibs_only Reduce only the calibrations? (default: False) - --clobber_calibs Clobber existing calibration files? (default: False) + --overwrite_calibs Overwrite any existing calibration files? (default: + False) --slitspatnum SLITSPATNUM Reduce the slit(s) as specified by the slitspatnum value(s) (default: None) @@ -73,7 +86,21 @@ --boxcar_radius BOXCAR_RADIUS Set the radius for the boxcar extraction in arcseconds (default: None) - --det DET Detector to reduce. Same format as detnum (default: - None) + --det DET [DET ...] A space-separated set of detectors or detector mosaics + to reduce. By default, *all* detectors or default + mosaics for this instrument will be reduced. Detectors + in a mosaic must be a mosaic "allowed" by PypeIt and + should be provided as comma-separated integers (with no + spaces). For example, to separately reduce detectors 1 + and 5 for Keck/DEIMOS, you would use --det 1 5; to + reduce mosaics made up of detectors 1,5 and 3,7, you + would use --det 1,5 3,7 (default: None) --no_stack Do *not* stack multiple science frames (default: True) + --bkg_redux If set the script will perform difference imaging. + Namely it will identify sequences of AB pairs based on + the dither pattern and perform difference imaging sky + subtraction and fit for residuals. This functionality + only works for instruments where PypeIt can + automatically parse dither sequences from the file + headers. (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index 73613646c2..d3be9ffd62 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -8,11 +8,10 @@ [--prefix PREFIX] [--no_clear] [-v VERBOSITY] file - Display sky subtracted, spec2d image in a Ginga viewer. Run above the Science/ - folder + Display sky subtracted, spec2d image in a ginga viewer. positional arguments: - file PypeIt spec2d file + file Path to a PypeIt spec2d file optional arguments: -h, --help show this help message and exit diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index 6ad7295ef5..06ca5ad954 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console - # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T15:27:40.028 + # Auto-generated PypeIt input file using PypeIt version: 1.12.2 + # UTC 2023-04-05T22:42:29.971 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index 4e38877460..d5331442ad 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console - # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T15:27:39.468 + # Auto-generated PypeIt input file using PypeIt version: 1.12.2 + # UTC 2023-04-05T22:42:29.971 # User-defined execution parameters [rdx] diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 594ea2e7d6..4ff5f7db62 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console - # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T15:27:53.051 + # Auto-generated PypeIt input file using PypeIt version: 1.12.2 + # UTC 2023-04-05T22:42:29.971 # User-defined execution parameters [rdx] @@ -15,12 +15,15 @@ # Data block data read - path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/NIRES + path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 2 | 3 | -1 s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 2 | 4 | -1 + s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 + s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 + s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 s190519_0010.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0743023767 | 1.41291034446565 | 100.0 | none | None | 0.0 | 10 | all | -1 | -1 s190519_0012.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0769763351 | 1.41291034446565 | 100.0 | none | None | 0.0 | 12 | all | -1 | -1 s190519_0014.fits | pixelflat,trace | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0796502934 | 1.41291034446565 | 100.0 | none | None | 0.0 | 14 | all | -1 | -1 diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index 1975b3d69e..260bb5d36f 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -1,7 +1,7 @@ .. code-block:: console - # Auto-generated PypeIt input file using PypeIt version: 1.12.2.dev137+g95b15695a - # UTC 2023-03-31T15:27:32.839 + # Auto-generated PypeIt input file using PypeIt version: 1.12.2 + # UTC 2023-04-05T22:42:29.971 # User-defined execution parameters [rdx] diff --git a/doc/scripts/make_example_files.py b/doc/scripts/make_example_files.py index 10d28a464a..015381c8e9 100644 --- a/doc/scripts/make_example_files.py +++ b/doc/scripts/make_example_files.py @@ -19,7 +19,7 @@ #----------------------------------------------------------------------------- -def make_example_kast_pypeit_file(): +def make_example_kast_pypeit_file(version, date): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' @@ -27,7 +27,9 @@ def make_example_kast_pypeit_file(): / 'RAW_DATA' / 'shane_kast_blue' / '600_4310_d55' pargs = setup.Setup.parse_args(['-r', str(droot), '-s', 'shane_kast_blue', '-c', 'all', - '-d', str(oroot)]) + '-d', str(oroot), + '--version_override', version, + '--date_override', date]) setup.Setup.main(pargs) ofile = oroot / 'shane_kast_blue_A.pypeit.rst' @@ -43,14 +45,16 @@ def make_example_kast_pypeit_file(): shutil.rmtree(oroot / 'shane_kast_blue_A') -def make_example_deimos_pypeit_file(): +def make_example_deimos_pypeit_file(version, date): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'keck_deimos' / '1200G_M_7750' pargs = setup.Setup.parse_args(['-r', str(droot), '-s', 'keck_deimos', '-c', 'all', - '-d', str(oroot)]) + '-d', str(oroot), + '--version_override', version, + '--date_override', date]) setup.Setup.main(pargs) ofile = oroot / 'keck_deimos_A.pypeit.rst' @@ -66,7 +70,7 @@ def make_example_deimos_pypeit_file(): shutil.rmtree(oroot / 'keck_deimos_A') -def make_example_gnirs_pypeit_files(): +def make_example_gnirs_pypeit_files(version, date): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' @@ -74,7 +78,9 @@ def make_example_gnirs_pypeit_files(): droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'gemini_gnirs' / '32_SB_SXD' pargs = setup.Setup.parse_args(['-r', str(droot), '-s', 'gemini_gnirs', '-b', '-c', 'A', - '-d', str(oroot)]) + '-d', str(oroot), + '--version_override', version, + '--date_override', date]) setup.Setup.main(pargs) ofile = oroot / 'gemini_gnirs_A.pypeit.rst' @@ -104,15 +110,17 @@ def make_example_gnirs_pypeit_files(): f.write('\n\n') -def make_example_nires_pypeit_files(): +def make_example_nires_pypeit_files(version, date): oroot = Path(resource_filename('pypeit', '')).resolve().parent / 'doc' / 'include' # Create the default pypeit file - droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'keck_nires' / 'NIRES' + droot = Path(os.getenv('PYPEIT_DEV')).resolve() / 'RAW_DATA' / 'keck_nires' / 'ABBA_wstandard' pargs = setup.Setup.parse_args(['-r', str(droot), '-s', 'keck_nires', '-b', '-c', 'A', - '-d', str(oroot)]) + '-d', str(oroot), + '--version_override', version, + '--date_override', date]) setup.Setup.main(pargs) ofile = oroot / 'keck_nires_A.pypeit.rst' @@ -198,15 +206,15 @@ def make_meta_examples(): if __name__ == '__main__': t = time.perf_counter() print('Making shane_kast_blue_A.pypeit.rst') - make_example_kast_pypeit_file() + make_example_kast_pypeit_file('1.12.2', '2023-04-05T22:42:29.971') print('Making keck_deimos_A.pypeit.rst') - make_example_deimos_pypeit_file() + make_example_deimos_pypeit_file('1.12.2', '2023-04-05T22:42:29.971') print('Making gemini_gnirs files') - make_example_gnirs_pypeit_files() + make_example_gnirs_pypeit_files('1.12.2', '2023-04-05T22:42:29.971') + print('Making keck_nires files') + make_example_nires_pypeit_files('1.12.2', '2023-04-05T22:42:29.971') print('Making keck_deimos.sorted.rst') make_example_sorted_file() - print('Making keck_nires files') - make_example_nires_pypeit_files() print('Make meta examples') make_meta_examples() print('Elapsed time: {0} seconds'.format(time.perf_counter() - t)) diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index efe706d317..e60b977017 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -583,6 +583,9 @@ def get_flats(self): 'slit-illumination flats, and the files are not the same. Ignoring the ' 'slit-illumination flat.') cal_file = illum_cal_file if pixel_cal_file is None else pixel_cal_file + calib_key = illum_calib_key if pixel_calib_key is None else pixel_calib_key + setup = illum_setup if pixel_setup is None else pixel_setup + calib_id = illum_calib_id if pixel_calib_id is None else pixel_calib_id if cal_file.exists() and self.reuse_calibs: self.flatimages = flatfield.FlatImages.from_file(cal_file) self.flatimages.is_synced(self.slits) diff --git a/pypeit/inputfiles.py b/pypeit/inputfiles.py index 17759633c7..7809838553 100644 --- a/pypeit/inputfiles.py +++ b/pypeit/inputfiles.py @@ -411,19 +411,28 @@ def path_and_files(self, key:str, skip_blank=False, check_exists=True): # Return return data_files - def write(self, input_file): + def write(self, input_file, version_override=None, date_override=None): """ Write an Input file to disk Args: - input_file (str): Name of PypeIt file to be generated + input_file (:obj:`str`): + Name of PypeIt file to be generated + version_override (:obj:`str`, optional): + Override the current version and use this one instead. **For + documentation purposes only!** + date_override (:obj:`str`, optional): + Override the current version and use this one instead. **For + documentation purposes only!** """ + _version = __version__ if version_override is None else version_override + _date = datetime.utcnow().isoformat(timespec='milliseconds') \ + if date_override is None else date_override # Here we go with open(input_file, 'w') as f: - f.write(f'# Auto-generated {self.flavor} input file using PypeIt version: {__version__}\n') - #f.write('# {0}\n'.format(time.strftime("%Y-%m-%d",time.localtime()))) - f.write('# UTC {0}\n'.format(datetime.utcnow().isoformat(timespec='milliseconds'))) + f.write(f'# Auto-generated {self.flavor} input file using PypeIt version: {_version}\n') + f.write(f'# UTC {_date}\n') f.write("\n") # Parameter block diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 62e604cdb1..5b71cc0b0a 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -1507,7 +1507,7 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, def write_pypeit(self, output_path=None, cfg_lines=None, write_bkg_pairs=False, write_manual=False, - configs=None): + configs=None, version_override=None, date_override=None): """ Write a pypeit file in data-table format. @@ -1541,6 +1541,12 @@ def write_pypeit(self, output_path=None, cfg_lines=None, the configurations matched to this provided string or list of strings (e.g., ['A','C']). See :attr:`configs`. + version_override (:obj:`str`, optional): + Override the current version and use this one instead. **For + documentation purposes only!** + date_override (:obj:`str`, optional): + Override the current version and use this one instead. **For + documentation purposes only!** Raises: PypeItError: @@ -1618,7 +1624,8 @@ def write_pypeit(self, output_path=None, cfg_lines=None, # Instantiate a PypeItFile pypeItFile = inputfiles.PypeItFile(cfg_lines, paths, subtbl, setup_dict) # Write - pypeItFile.write(ofiles[j]) + pypeItFile.write(ofiles[j], version_override=version_override, + date_override=date_override) # Return return ofiles diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 71a3658cc7..c13d90ec31 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -20,10 +20,8 @@ .. include:: ../include/links.rst """ from pathlib import Path -import os import time import datetime -import glob import shutil from IPython import embed @@ -32,7 +30,6 @@ import configobj -from astropy.io import fits from astropy.table import Table from pypeit import msgs @@ -40,7 +37,7 @@ from pypeit import io from pypeit import pypeit from pypeit.calibframe import CalibFrame -from pypeit.core.parse import get_dnum, parse_binning +from pypeit.core.parse import parse_binning from pypeit.scripts import scriptbase from pypeit.spectrographs import available_spectrographs from pypeit.slittrace import SlitTraceSet @@ -78,42 +75,45 @@ def generate_sci_pypeitfile(redux_path:str, bkg_redux:bool=False, stack:bool=True): """ - Generate the PypeIt file for the science frames - from the calib PypeIt file. + Prepare to reduce the science frames by: - The primary steps are: + - Correcting the setup and calibration group for the science frames to + be the same as the associated calibration files. - - Generate the science reduction folder based on the science filenames + - Creating the path for the science reductions, and including a symlink + to the pre-processed (reference) calibration frames. - - Generate a soft-link to the Masters/ folder provided by master_calib_dir - - - Build the configuration lines for the PypeIt file - - - Write the PypeIt file to disk in the science reduction folder + - Writing the pypeit file with the requested parameter adjustments. Args: - redux_path (str): Path to the redux folder - sci_files (list): List of science files (full path) - master_calib_dir (str): Path to the master calib folder - master_setup_and_bit (list): - Name of the master setup and bit (list of str) - The latter is used to tie the science frames to the Masters - ps_sci (:class:`pypeit.pypeitsetup.PypeItSetup`): - Setup object for the science frame(s) - input_cfg_dict (dict, optional): - Input configuration dictionary. Defaults to None. - det (str, optional): Detector/mosaic. Defaults to None. - remove_sci_dir (bool, optional): Remove the science directory if it exists. Defaults to True. - slitspatnum (str, optional): - Value for slitspatnum, e.g. MSCO2:4244 - maskID (str, optional): Mask ID to isolate for QL. Defaults to None. - boxcar_radius (float, optional): Boxcar radius for extraction. - In units of arcsec. Defaults to None. - bkg_redux (bool, optional): Setup for A-B subtraction. Defaults to False. - stack (bool, optional): Stack the science frames. Defaults to True. - - Returns: - tuple: name of pypeit file (str), pypeitFile object (:class:`~pypeit.inputfiles.PypeItFile`) + redux_path (:obj:`str`): + Path to the redux folder + ref_calib_dir (`Path`_): + Path with the pre-processed calibration frames. A symlink will be + created to this directory from within ``redux_path`` to mimic the + location of the calibrations expected by :class:`~pypeit.PypeIt`. + ps_sci (:class:`~pypeit.pypeitsetup.PypeItSetup`): + Setup object for the science frame(s) only. + det (:obj:`str`, optional): + Detector/mosaic identifier. If None, all detectors are reduced. + remove_sci_dir (:obj:`bool`, optional): + Remove the science directory if it exists. + slitspatnum (:obj:`str`, optional): + Used to identify the slit that should be reduced; see + :ref:`reduxpar`. If None, all slits are reduced. + maskID (:obj:`str`, optional): + Slit identifier from the mask design, used to select a single slit + to reduce. If None, all slits are reduced. + boxcar_radius (:obj:`float`, optional): + Boxcar radius in arcsec used for extraction. + bkg_redux (:obj:`bool`, optional): + Setup for dithered, difference-imaging reduction. + stack (:obj:`bool`, optional): + Reduce all of the science frames by stacking them all into a single + image. + + Returns: + :obj:`str`: The name of the pypeit file. """ # Check the directory with the reference calibrations exists @@ -225,25 +225,6 @@ def generate_sci_pypeitfile(redux_path:str, cfg_lines=configobj.ConfigObj(cfg).write(), write_bkg_pairs=True, configs=setup)[0] -# # Odds and ends at the finish -# output_cols = ps_sci.fitstbl.set_pypeit_cols(write_bkg_pairs=True, write_manual=False) -# file_paths = np.unique([os.path.dirname(ff) for ff in sci_files]).tolist() -# -# # Generate -# pypeitFile = inputfiles.PypeItFile( -# config=config_lines, -# file_paths=file_paths, -# data_table=ps_sci.fitstbl.table[output_cols], -# setup=setup) -# -# # Write -# pypeit_file = f'{ps_sci.spectrograph.name}_{master_setup_and_bit[0]}.pypeit' -# science_pypeit_filename = os.path.join(sci_dir, pypeit_file) -# pypeitFile.write(science_pypeit_filename) - -# # Return -# return science_pypeit_filename, pypeitFile - def match_science_to_calibs(ps_sci:pypeitsetup.PypeItSetup, calib_dir:str): @@ -484,7 +465,7 @@ def main(args): if any(unknown_types): # TODO: Remove them and keep going or fault? # TODO: Check these against ones that have been specified as science using 'sci_files' - msgs.error('Could not determing frame types for the following files: ' + + msgs.error('Could not determine frame types for the following files: ' + ', '.join(ps.fitstbl['frametype'][unknown_types])) # Calibrate, if necessary diff --git a/pypeit/scripts/setup.py b/pypeit/scripts/setup.py index b73d360f67..acea6d8458 100644 --- a/pypeit/scripts/setup.py +++ b/pypeit/scripts/setup.py @@ -4,7 +4,7 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ - +import argparse from IPython import embed from pypeit.scripts import scriptbase @@ -52,6 +52,14 @@ def get_parser(cls, width=None): 'pypeit_obslog; i.e., you have to tell pypeit_setup to keep ' 'these frames, whereas you have to tell pypeit_obslog to remove ' 'them.') + + # NOTE: These are only used to prevent updates to some of the automated + # document building just based on changes in the pypeit version or the + # date. These should *not* show up when users run `pypeit_setup -h` due + # to the use of `help=argparse.SUPPRESS`. + parser.add_argument('--version_override', type=str, default=None, help=argparse.SUPPRESS) + parser.add_argument('--date_override', type=str, default=None, help=argparse.SUPPRESS) + return parser @staticmethod @@ -109,7 +117,9 @@ def main(args): pypeit_files = ps.fitstbl.write_pypeit(output_path=output_path, cfg_lines=ps.user_cfg, write_bkg_pairs=args.background, write_manual=args.manual_extraction, - configs=configs) + configs=configs, + version_override=args.version_override, + date_override=args.date_override) # Write the calib file for each written pypeit file. setups = [Path(p).resolve().name.split('.')[0].split('_')[-1] for p in pypeit_files] From 764d7e7385b906a56debadf8011cd9f677c99ea4 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 6 Apr 2023 08:32:54 +0100 Subject: [PATCH 186/308] fix datamodel --- pypeit/core/datacube.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index ee9ad68478..44535a1a05 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -498,7 +498,8 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): """ # Extract some information from the HDU list flxcube = stdcube['FLUX'].data.T.copy() - varcube = stdcube['VARIANCE'].data.T.copy() + varcube = stdcube['SIG'].data.T.copy()**2 + bpmcube = stdcube['BPM'].data.T.copy() numwave = flxcube.shape[2] # Setup the WCS @@ -534,7 +535,7 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): smask -= mask # Subtract the residual sky - skymask = (varcube > 0.0) * smask + skymask = np.logical_not(bpmcube) * smask skycube = flxcube * skymask skyspec = skycube.sum(0).sum(0) nrmsky = skymask.sum(0).sum(0) @@ -552,7 +553,7 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): norm_flux = wl_img[:,:,np.newaxis] * mask norm_flux /= np.sum(norm_flux) # Extract boxcar - cntmask = (varcube > 0.0) * mask # Good pixels within the masked region around the standard star + cntmask = np.logical_not(bpmcube) * mask # Good pixels within the masked region around the standard star flxscl = (norm_flux * cntmask).sum(0).sum(0) # This accounts for the flux that is missing due to masked pixels scimask = flxcube * cntmask varmask = varcube * cntmask**2 @@ -565,7 +566,7 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): elif method == 'gauss2d': msgs.error("Use method=boxcar... this method has not been thoroughly tested") # Generate a mask - fitmask = (varcube > 0.0) * mask + fitmask = np.logical_not(bpmcube) * mask # Setup the coordinates x = np.linspace(0, flxcube.shape[0] - 1, flxcube.shape[0]) y = np.linspace(0, flxcube.shape[1] - 1, flxcube.shape[1]) @@ -612,7 +613,7 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): msgs.info("Collapsing datacube to a 2D image") omask = mask+smask idx_sum = 0 - cntmask = (varcube > 0.0) * omask + cntmask = np.logical_not(bpmcube) * omask scimask = flxcube * cntmask varmask = varcube * cntmask**2 cnt_spec = cntmask.sum(idx_sum) * utils.inverse(omask.sum(idx_sum)) From 652f457798106833c568a23fe87153848e56a565 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 6 Apr 2023 08:41:32 +0100 Subject: [PATCH 187/308] fix coadd2d --- pypeit/coadd1d.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/pypeit/coadd1d.py b/pypeit/coadd1d.py index d6541f1abb..fa165fe609 100644 --- a/pypeit/coadd1d.py +++ b/pypeit/coadd1d.py @@ -122,7 +122,7 @@ def load_arrays(self): ivars = np.pad(ivars, padv, mode='constant', constant_values=(0, 1)) gpms = np.pad(gpms, padv, mode='constant', constant_values=(False, False)) elif wave_iexp.shape[0] < waves.shape[0]: - padv = [(0, waves.shape[0]-wave_iexp.shape[0]), (0, 0)] + padv = [0, waves.shape[0]-wave_iexp.shape[0]] wave_iexp = np.pad(wave_iexp, padv, mode='constant', constant_values=(0, 0)) flux_iexp = np.pad(flux_iexp, padv, mode='constant', constant_values=(0, 0)) ivar_iexp = np.pad(ivar_iexp, padv, mode='constant', constant_values=(0, 1)) @@ -130,7 +130,6 @@ def load_arrays(self): # Store the information waves[...,iexp], fluxes[...,iexp], ivars[..., iexp], gpms[...,iexp] \ = wave_iexp, flux_iexp, ivar_iexp, gpm_iexp - return waves, fluxes, ivars, gpms, header_out def save(self, coaddfile, telluric=None, obj_model=None, overwrite=True): From 0137dc9eb934d5093af20d6eb891a3bd3a6a6b6a Mon Sep 17 00:00:00 2001 From: Zixuan Peng Date: Mon, 3 Apr 2023 08:28:39 -0700 Subject: [PATCH 188/308] fluxing fix --- doc/fluxing.rst | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/doc/fluxing.rst b/doc/fluxing.rst index 06f58c83a4..ea4ea90ed0 100644 --- a/doc/fluxing.rst +++ b/doc/fluxing.rst @@ -88,14 +88,15 @@ From the definition of the spectroscopic zeropoint above, it follows that \left(\frac{F_\lambda}{10^{-17} {\rm erg/s/cm^2/\mathrm{\mathring{A}}}}\right) = 10^{-0.4({\rm Zeropoint - ZPCONST})} \left(\frac{N_\lambda}{\rm - photons/s/\mathrm{\mathring{A}}}\right)\left(\frac{\lambda}{\mathrm{\mathring{A}}}\right)^2, + photons/s/\mathrm{\mathring{A}}}\right)\left(\frac{\mathrm{\mathring{A}}}{\lambda}\right)^2, where :math:`ZPCONST = 40.09` is a dimensionless number defined by .. math:: - {\rm ZPCONST}\equiv \frac{\frac{\mathrm{\mathring{A}}^2}{c}\times - 10^{-17}{\rm erg/s/cm^2/\mathrm{\mathring{A}}}}{3631 {\rm Jy}}. + {\rm ZPCONST}\equiv -2.5 + \log_{10}{\left[\frac{\frac{\mathrm{\mathring{A}}^2}{c}\times + 10^{-17}{\rm erg/s/cm^2/\mathrm{\mathring{A}}}}{3631 {\rm Jy}}\right]}. In practice, PypeIt fits and stores the spectroscopic zerpoints and uses the equation above to compute :math:`F_\lambda` from :math:`N_\lambda` and From 98e776e6f5d84d2540b3749bec27586a55a89405 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 6 Apr 2023 11:11:03 -0700 Subject: [PATCH 189/308] Spaces spaces everywhere Purely cosmetic adjustments to the parameter description strings to ensure spaces exist at line breaks in the python code. modified: pypeit/par/pypeitpar.py --- pypeit/par/pypeitpar.py | 153 ++++++++++++++++++++-------------------- 1 file changed, 76 insertions(+), 77 deletions(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index edc3b5a13c..6ed0f766b1 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -73,7 +73,6 @@ def __init__(self, existing_par=None, foo=None): from pypeit.par.parset import ParSet from pypeit.par import util from pypeit.core.framematch import FrameTypeBitMask -from pypeit.inputfiles import PypeItFile from pypeit import msgs @@ -952,9 +951,9 @@ def __init__(self, locations=None, trace_npoly=None, trim_edge=None, snr_thresh= defaults['snr_thresh'] = 1.0 # This must be low, because the routine will find the dtypes['snr_thresh'] = [int, float] - descr['snr_thresh'] = 'S/N ratio threshold for finding an alignment trace. This should be a low' \ - 'number to ensure that the algorithm finds all bars. The algorithm will' \ - 'then only use the N most significant detections, where N is the number' \ + descr['snr_thresh'] = 'S/N ratio threshold for finding an alignment trace. This should be a low ' \ + 'number to ensure that the algorithm finds all bars. The algorithm will ' \ + 'then only use the N most significant detections, where N is the number ' \ 'of elements specified in the "locations" keyword argument' # Instantiate the parameter set @@ -1044,15 +1043,15 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, descr['wave_method'] = "Method used to construct wavelength grid for coadding spectra. The routine that creates " \ "the wavelength is :func:`~pypeit.core.wavecal.wvutils.get_wave_grid`. The options are:" \ " "\ - "'iref' -- Use the first wavelength array" \ - "'velocity' -- Grid is uniform in velocity" \ - "'log10' -- Grid is uniform in log10(wave).This is the same as velocity." \ - "'linear' -- Grid is uniform in lamba." \ + "'iref' -- Use the first wavelength array. " \ + "'velocity' -- Grid is uniform in velocity. " \ + "'log10' -- Grid is uniform in log10(wave). This is the same as velocity. " \ + "'linear' -- Grid is uniform in lambda. " \ "'concatenate' -- Meld the input wavelength arrays" defaults['dv'] = None dtypes['dv'] = [int, float] - descr['dv'] = "Dispersion in units of km/s in case you want to specify it in the get_wave_grid (for the 'velocity' option)," \ + descr['dv'] = "Dispersion in units of km/s in case you want to specify it in the get_wave_grid (for the 'velocity' option), " \ "otherwise a median value is computed from the data." defaults['wave_grid_min'] = None @@ -1089,24 +1088,24 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, dtypes['scale_method'] = str descr['scale_method'] = "Method used to rescale the spectra prior to coadding. The options are:" \ " "\ - "'auto' -- Determine the scaling method automatically based on the S/N ratio which works well"\ - "'poly' -- Polynomial rescaling." \ - "'median' -- Median rescaling" \ - "'none' -- Do not rescale." \ + "'auto' -- Determine the scaling method automatically based on the S/N ratio which works well. "\ + "'poly' -- Polynomial rescaling. " \ + "'median' -- Median rescaling " \ + "'none' -- Do not rescale. " \ "'hand' -- Pass in hand scaling factors. This option is not well tested." defaults['sn_min_medscale'] = 0.5 dtypes['sn_min_medscale'] = [int, float] - descr['sn_min_medscale'] = "For scale method set to 'auto', this sets the minimum SNR for which median scaling is attempted" + descr['sn_min_medscale'] = "For scale method set to ``auto``, this sets the minimum SNR for which median scaling is attempted." defaults['sn_min_polyscale'] = 2.0 dtypes['sn_min_polyscale'] = [int, float] - descr['sn_min_polyscale'] = "For scale method set to 'auto', this sets the minimum SNR for which polynomial scaling is attempted. " \ + descr['sn_min_polyscale'] = "For scale method set to ``auto``, this sets the minimum SNR for which polynomial scaling is attempted." defaults['maxiter_reject'] = 5 dtypes['maxiter_reject'] = int - descr['maxiter_reject'] = 'maximum number of iterations for stacking and rejection. The code stops iterating ' \ + descr['maxiter_reject'] = 'Maximum number of iterations for stacking and rejection. The code stops iterating ' \ 'either when the output mask does not change betweeen successive iterations or when ' \ 'maxiter_reject is reached.' defaults['lower'] = 3.0 @@ -1132,7 +1131,7 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, defaults['nbest'] = None dtypes['nbest'] = int descr['nbest'] = 'Number of orders to use for estimating the per exposure weights. Default is None, ' \ - 'which will just use one fourth of the total number of orders. This is only used for Echelle' + 'which will just use one fourth of the total number of orders. This is only used for Echelle.' # For scaling to an input filter magnitude defaults['filter'] = 'none' @@ -1149,7 +1148,7 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, defaults['filter_mask'] = None dtypes['filter_mask'] = [str, list] - descr['filter_mask'] = 'List of wavelength regions to mask when doing the scaling (ie. occasional junk pixels).'\ + descr['filter_mask'] = 'List of wavelength regions to mask when doing the scaling (`i.e.`, occasional junk pixels). '\ 'Colon and comma separateed, e.g. 5552:5559,6010:6030' @@ -1158,7 +1157,7 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, defaults['sensfuncfile'] = None dtypes['sensfuncfile'] = str descr['sensfuncfile'] = 'File containing sensitivity function which is a requirement for echelle coadds. ' \ - 'This is only used for Echelle' + 'This is only used for Echelle.' defaults['coaddfile'] = None dtypes['coaddfile'] = str @@ -1228,18 +1227,18 @@ def __init__(self, only_slits=None, offsets=None, spat_toler=None, weights=None, # Offsets defaults['only_slits'] = None dtypes['only_slits'] = [int, list] - descr['only_slits'] = 'Slit ID, or list of slit IDs that the user want to restrict the coadd to.' \ + descr['only_slits'] = 'Slit ID, or list of slit IDs that the user want to restrict the coadd to. ' \ 'I.e., only this/these slit/s will be coadded.' defaults['offsets'] = 'auto' dtypes['offsets'] = [list, str] descr['offsets'] = 'Offsets for the images being combined (spat pixels). Options are: ' \ - '``maskdef_offsets``, ``auto``, and a list of offsets.' \ + '``maskdef_offsets``, ``auto``, and a list of offsets. ' \ 'Use ``maskdef_offsets`` to use the offsets computed during the slitmask ' \ 'design matching (currently available for DEIMOS and MOSFIRE only). If ``auto`` ' \ 'is chosen, PypeIt will try to compute the offsets using a reference object ' \ 'with the highest S/N, or an object selected by the user (see ``user_obj``). ' \ - 'If a list of offsets is provided, PypeIt will use it. ' + 'If a list of offsets is provided, PypeIt will use it.' defaults['spat_toler'] = 5 dtypes['spat_toler'] = int @@ -1394,7 +1393,7 @@ def __init__(self, slit_spec=None, relative_weights=None, combine=None, output_f '(1) "subpixel" (default) - this algorithm divides each pixel in the spec2d frames ' \ 'into subpixels, and assigns each subpixel to a voxel of the datacube. Flux is conserved, ' \ 'but voxels are correlated, and the error spectrum does not account for covariance between ' \ - 'adjacent voxels. See also, spec_subpixel and spat_subpixel.' \ + 'adjacent voxels. See also, spec_subpixel and spat_subpixel. ' \ '(2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is ' \ 'conserved, voxels are not correlated, however this option suffers the same downsides as ' \ 'any histogram; the choice of bin sizes can change how the datacube appears. This algorithm ' \ @@ -1565,7 +1564,7 @@ def __init__(self, extinct_correct=None, extinct_file=None, extrap_sens=None, us 'no extinction correction is applied since the atmosphere is modeled directly. To follow these ' \ 'defaults based on the algorithm this parameter should be set to ``extinct_correct=None``. If instead this ' \ 'parameter is set, this overide this default behavior. In other words, it will force an extinction correction ' \ - 'if ``extinct_correct=True``, and will not perform an extinction correction if ``extinct_correct=False``.' \ + 'if ``extinct_correct=True``, and will not perform an extinction correction if ``extinct_correct=False``.' defaults['extinct_file'] = 'closest' dtypes['extinct_file'] = str @@ -1635,21 +1634,21 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ defaults['extrap_blu'] = 0.1 dtypes['extrap_blu'] = float descr['extrap_blu'] = 'Fraction of minimum wavelength coverage to grow the wavelength coverage of the ' \ - 'sensitivitity function in the blue direction, i.e. if the standard star spectrum' \ - 'cuts off at wave_min, the sensfunc will be extrapolated to cover down to ' \ + 'sensitivitity function in the blue direction (`i.e.`, if the standard star spectrum ' \ + 'cuts off at ``wave_min``) the sensfunc will be extrapolated to cover down to ' \ ' (1.0 - ``extrap_blu``) * ``wave_min``' defaults['extrap_red'] = 0.1 dtypes['extrap_red'] = float descr['extrap_red'] = 'Fraction of maximum wavelength coverage to grow the wavelength coverage of the ' \ - 'sensitivitity function in the red direction, i.e. if the standard star spectrum' \ - 'cuts off at wave_max, the sensfunc will be extrapolated to cover up to ' \ + 'sensitivitity function in the red direction (`i.e.`, if the standard star spectrum' \ + 'cuts off at ``wave_max``) the sensfunc will be extrapolated to cover up to ' \ ' (1.0 + ``extrap_red``) * ``wave_max``' defaults['samp_fact'] = 1.5 dtypes['samp_fact'] = float - descr['samp_fact'] = 'sampling factor to make the wavelength grid for sensitivity function finer or coarser. ' \ + descr['samp_fact'] = 'Sampling factor to make the wavelength grid for sensitivity function finer or coarser. ' \ 'samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser).' defaults['multi_spec_det'] = None @@ -1666,7 +1665,7 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ options['algorithm'] = SensFuncPar.valid_algorithms() descr['algorithm'] = "Specify the algorithm for computing the sensitivity function. The options are: " \ r" (1) UVIS = Should be used for data with :math:`\lambda < 7000` A. " \ - "No detailed model of telluric absorption but corrects for atmospheric extinction." \ + "No detailed model of telluric absorption but corrects for atmospheric extinction. " \ r" (2) IR = Should be used for data with :math:`\lambda > 7000` A. " \ "Peforms joint fit for sensitivity function and telluric absorption using HITRAN models." @@ -1694,11 +1693,11 @@ def __init__(self, extrap_blu=None, extrap_red=None, samp_fact=None, multi_spec_ defaults['star_ra'] = None dtypes['star_ra'] = float - descr['star_ra'] = 'RA of the standard star. This will override values in the header, i.e. if they are wrong or absent' + descr['star_ra'] = 'RA of the standard star. This will override values in the header (`i.e.`, if they are wrong or absent)' defaults['star_dec'] = None dtypes['star_dec'] = float - descr['star_dec'] = 'DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent' + descr['star_dec'] = 'DEC of the standard star. This will override values in the header (`i.e.`, if they are wrong or absent)' defaults['mask_hydrogen_lines'] = True dtypes['mask_hydrogen_lines'] = bool @@ -1923,7 +1922,7 @@ def __init__(self, obj_toler=None, assign_obj=None, snr_thrshd=None, dtypes['use_alignbox'] = bool descr['use_alignbox'] = 'Use stars in alignment boxes to compute the slitmask offset. ' \ 'If this is set to ``True`` PypeIt will NOT compute ' \ - 'the offset using `snr_thrshd` or `bright_maskdef_id`' + 'the offset using ``snr_thrshd`` or ``bright_maskdef_id``' defaults['snr_thrshd'] = 50. dtypes['snr_thrshd'] = [int, float] @@ -1935,14 +1934,14 @@ def __init__(self, obj_toler=None, assign_obj=None, snr_thrshd=None, dtypes['slitmask_offset'] = [int, float] descr['slitmask_offset'] = 'User-provided slitmask offset (pixels) from the position expected by ' \ 'the slitmask design. This is optional, and if set PypeIt will NOT compute ' \ - 'the offset using `snr_thrshd` or `bright_maskdef_id`.' + 'the offset using ``snr_thrshd`` or ``bright_maskdef_id``.' defaults['use_dither_offset'] = False dtypes['use_dither_offset'] = bool descr['use_dither_offset'] = 'Use the dither offset recorded in the header of science frames as the value ' \ 'of the slitmask offset. This is currently only available for Keck MOSFIRE ' \ 'reduction and it is set as the default for this instrument. If set PypeIt will ' \ - 'NOT compute the offset using `snr_thrshd` or `bright_maskdef_id`. ' \ + 'NOT compute the offset using ``snr_thrshd`` or ``bright_maskdef_id``. ' \ 'However, it is ignored if ``slitmask_offset`` is provided. ' defaults['bright_maskdef_id'] = None @@ -2041,7 +2040,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ defaults['sn_clip'] = 30.0 dtypes['sn_clip'] = [int, float] - descr['sn_clip'] = 'This adds an error floor to the ivar, preventing too much rejection at high-S/N (i.e. ' \ + descr['sn_clip'] = 'This adds an error floor to the ivar, preventing too much rejection at high-S/N (`i.e.`, ' \ 'standard stars, bright objects) using the function utils.clip_ivar. A small erorr is added ' \ 'to the input ivar so that the output ivar_out will never give S/N greater than sn_clip. This ' \ 'prevents overly aggressive rejection in high S/N ratio spectra which neverthless differ at a ' \ @@ -2079,13 +2078,13 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ pars['minmax_coeff_bounds'] = tuple_force(pars['minmax_coeff_bounds']) defaults['minmax_coeff_bounds'] = (-5.0, 5.0) dtypes['minmax_coeff_bounds'] = tuple - descr['minmax_coeff_bounds'] = "Parameters setting the polynomial coefficient bounds for sensfunc optimization." \ + descr['minmax_coeff_bounds'] = "Parameters setting the polynomial coefficient bounds for sensfunc optimization. " \ "Bounds are currently determined as follows. We compute an initial fit to the " \ "sensfunc in the pypeit.core.telluric.init_sensfunc_model function. That deterines " \ "a set of coefficients. The bounds are then determined according to: " \ "[(np.fmin(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][0], " \ "obj_params['minmax_coeff_bounds'][0]), " \ - "np.fmax(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][1]," \ + "np.fmax(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][1], " \ "obj_params['minmax_coeff_bounds'][1]))]" defaults['maxiter'] = 2 @@ -2178,7 +2177,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ defaults['delta_redshift'] = 0.1 dtypes['delta_redshift'] = float - descr['delta_redshift'] = 'Range within the redshift can be varied for telluric fitting, i.e. the code performs a bounded optimization within' \ + descr['delta_redshift'] = 'Range within the redshift can be varied for telluric fitting, i.e. the code performs a bounded optimization within ' \ 'the redshift +- delta_redshift' defaults['pca_file'] = 'qso_pca_1200_3100.fits' @@ -2241,7 +2240,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ defaults['model'] = 'exp' dtypes['model'] = str - descr['model'] = 'Types of polynomial model. Options are poly, square, exp corresponding to normal polynomial,'\ + descr['model'] = 'Types of polynomial model. Options are poly, square, exp corresponding to normal polynomial, '\ 'squared polynomial, or exponentiated polynomial' defaults['polyorder'] = 3 @@ -2251,7 +2250,7 @@ def __init__(self, telgridfile=None, sn_clip=None, resln_guess=None, resln_frac_ ### Start parameters for poly_telluric defaults['fit_wv_min_max'] = None dtypes['fit_wv_min_max'] = list - descr['fit_wv_min_max'] = "Pixels within this mask will be used during the fitting. The format"\ + descr['fit_wv_min_max'] = "Pixels within this mask will be used during the fitting. The format "\ "is the same with bal_wv_min_max, but this mask is good pixel masks." @@ -2345,7 +2344,7 @@ def __init__(self, spectrograph=None, detnum=None, sortroot=None, calwin=None, s 'Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of ' \ 'tuples of the detector indices that are mosaiced together. ' \ 'E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for ' \ - 'Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` ' + 'Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]``' dtypes['slitspatnum'] = [str, list] descr['slitspatnum'] = 'Restrict reduction to a set of slit DET:SPAT values (closest slit is used). ' \ @@ -2353,8 +2352,8 @@ def __init__(self, spectrograph=None, detnum=None, sortroot=None, calwin=None, s '(i.e. modifying one slit) you *must* have the precise SPAT_ID index.' dtypes['maskIDs'] = [str, int, list] - descr['maskIDs'] = 'Restrict reduction to a set of slitmask IDs' \ - 'Example syntax -- maskIDs = 818006,818015 ' \ + descr['maskIDs'] = 'Restrict reduction to a set of slitmask IDs ' \ + 'Example syntax -- ``maskIDs = 818006,818015`` ' \ 'This must be used with detnum (for now).' dtypes['sortroot'] = str @@ -2530,7 +2529,7 @@ def __init__(self, reference=None, method=None, echelle=None, ech_nspec_coeff=No defaults['use_instr_flag'] = False dtypes['use_instr_flag'] = bool - descr['use_instr_flag'] = 'If True, restrict to lines matching the instrument. WARNING: This '\ + descr['use_instr_flag'] = 'If True, restrict to lines matching the instrument. WARNING: This ' \ 'is only implemented for shane_kast_red + HolyGrail. Do not use it unless you really know what you are doing.' # ToDo Should this be in counts or ADU? Currently the arcs are in ADU (which actually sort of makes sense here) but the @@ -2561,7 +2560,7 @@ def __init__(self, reference=None, method=None, echelle=None, ech_nspec_coeff=No dtypes['fwhm_fromlines'] = bool descr['fwhm_fromlines'] = 'Estimate spectral resolution in each slit using the arc lines. '\ 'If True, the estimated FWHM will override ``fwhm`` only in '\ - 'the determination of the wavelength solution (i.e. not in '\ + 'the determination of the wavelength solution (`i.e.`, not in '\ 'WaveTilts).' # These are the parameters used for reidentification @@ -2623,7 +2622,7 @@ def __init__(self, reference=None, method=None, echelle=None, ech_nspec_coeff=No dtypes['rms_threshold'] = [float, list, np.ndarray] descr['rms_threshold'] = 'Minimum RMS for keeping a slit/order solution. This can be a ' \ 'single number or a list/array providing the value for each slit. ' \ - 'Only used if ``method`` is either \'holy-grail\' or \'reidentify\' ' + 'Only used if ``method`` is either \'holy-grail\' or \'reidentify\'' defaults['match_toler'] = 2.0 dtypes['match_toler'] = float @@ -2806,14 +2805,13 @@ def __init__(self, filt_iter=None, sobel_mode=None, edge_thresh=None, sobel_enha defaults['edge_thresh'] = 20. dtypes['edge_thresh'] = [int, float] - descr['edge_thresh'] = 'Threshold for finding edges in the Sobel-filtered significance' \ - ' image.' + descr['edge_thresh'] = 'Threshold for finding edges in the Sobel-filtered significance image.' defaults['sobel_enhance'] = 0 dtypes['sobel_enhance'] = int - descr['sobel_enhance'] = 'Enhance the sobel filtering? A value of 0 will not enhance the sobel filtering.' \ - 'Any other value > 0 will sum the sobel values. For example, a value of 3 will' \ - 'combine the sobel values for the 3 nearest pixels. This is useful when a slit' \ + descr['sobel_enhance'] = 'Enhance the sobel filtering? A value of 0 will not enhance the sobel filtering. ' \ + 'Any other value > 0 will sum the sobel values. For example, a value of 3 will ' \ + 'combine the sobel values for the 3 nearest pixels. This is useful when a slit ' \ 'edge is poorly defined (e.g. vignetted).' defaults['exclude_regions'] = None @@ -2836,7 +2834,7 @@ def __init__(self, filt_iter=None, sobel_mode=None, edge_thresh=None, sobel_enha descr['det_min_spec_length'] = 'The minimum spectral length (as a fraction of the ' \ 'detector size) of a trace determined by direct ' \ 'measurements of the detector data (as opposed to what ' \ - 'should be included in any modeling approach; see '\ + 'should be included in any modeling approach; see ' \ 'fit_min_spec_length).' defaults['max_shift_abs'] = 0.5 @@ -2908,9 +2906,9 @@ def __init__(self, filt_iter=None, sobel_mode=None, edge_thresh=None, sobel_enha defaults['pca_min_edges'] = 4 dtypes['pca_min_edges'] = int - descr['pca_min_edges'] = 'Minimum number of edge traces required to perform a PCA '\ + descr['pca_min_edges'] = 'Minimum number of edge traces required to perform a PCA ' \ 'decomposition of the trace form. If left_right_pca is True, ' \ - 'this minimum applies to the number of left and right traces '\ + 'this minimum applies to the number of left and right traces ' \ 'separately.' dtypes['pca_n'] = int @@ -3343,10 +3341,10 @@ def __init__(self, idsonly=None, tracethresh=None, sig_neigh=None, nfwhm_neigh=N defaults['sig_neigh'] = 10. dtypes['sig_neigh'] = [int, float] - descr['sig_neigh'] = 'Significance threshold for arcs to be used in line identification for the purpose of identifying neighboring lines.' \ - 'The tracethresh parameter above determines the significance threshold of lines that will be traced, but these lines' \ - ' must be at least nfwhm_neigh fwhm away from neighboring lines. This parameter determines the significance above which' \ - ' a line must be to be considered a possible colliding neighbor. A low value of sig_neigh will result in an overall' \ + descr['sig_neigh'] = 'Significance threshold for arcs to be used in line identification for the purpose of identifying neighboring lines. ' \ + 'The tracethresh parameter above determines the significance threshold of lines that will be traced, but these lines ' \ + ' must be at least nfwhm_neigh fwhm away from neighboring lines. This parameter determines the significance above which ' \ + ' a line must be to be considered a possible colliding neighbor. A low value of sig_neigh will result in an overall ' \ ' larger number of lines, which will result in more lines above tracethresh getting rejected' defaults['nfwhm_neigh'] = 3.0 @@ -3365,9 +3363,9 @@ def __init__(self, idsonly=None, tracethresh=None, sig_neigh=None, nfwhm_neigh=N defaults['spat_order'] = 3 dtypes['spat_order'] = [int, float, list, np.ndarray] - descr['spat_order'] = 'Order of the legendre polynomial to be fit to the the tilt of an arc line. This parameter determines' \ - 'both the orer of the *individual* arc line tilts, as well as the order of the spatial direction of the' \ - '2d legendre polynomial (spatial, spectral) that is fit to obtain a global solution for the tilts across the' \ + descr['spat_order'] = 'Order of the legendre polynomial to be fit to the the tilt of an arc line. This parameter determines ' \ + 'both the orer of the *individual* arc line tilts, as well as the order of the spatial direction of the ' \ + '2d legendre polynomial (spatial, spectral) that is fit to obtain a global solution for the tilts across the ' \ 'slit/order. This can be a single number or a list/array providing the value for each slit' defaults['spec_order'] = 4 @@ -3622,7 +3620,7 @@ def __init__(self, trace_npoly=None, snr_thresh=None, find_trim_edge=None, defaults['maxnumber_std'] = 5 dtypes['maxnumber_std'] = int descr['maxnumber_std'] = 'Maximum number of objects to extract in a standard star frame. Same functionality as ' \ - 'maxnumber_sci documented above. For multislit observations the default here is 5, for echelle' \ + 'maxnumber_sci documented above. For multislit observations the default here is 5, for echelle ' \ 'observations the default is 1' defaults['snr_thresh'] = 10.0 @@ -3647,22 +3645,22 @@ def __init__(self, trace_npoly=None, snr_thresh=None, find_trim_edge=None, defaults['ech_find_max_snr'] = 1.0 dtypes['ech_find_max_snr'] = [int, float] - descr['ech_find_max_snr'] = 'Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than this value' \ - ' or satisfy the min_snr criteria described by the min_snr parameters. If maxnumber is set (see above) then these criteria' \ + descr['ech_find_max_snr'] = 'Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than this value ' \ + ' or satisfy the min_snr criteria described by the min_snr parameters. If maxnumber is set (see above) then these criteria ' \ 'will be applied but only the maxnumber highest (median) S/N ratio objects will be kept. ' defaults['ech_find_min_snr'] = 0.3 dtypes['ech_find_min_snr'] = [int, float] - descr['ech_find_min_snr'] = 'Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than ech_find_max_snr, value' \ - ' or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. If maxnumber is set (see above) then these criteria' \ + descr['ech_find_min_snr'] = 'Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than ech_find_max_snr, value ' \ + ' or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. If maxnumber is set (see above) then these criteria ' \ 'will be applied but only the maxnumber highest (median) S/N ratio objects will be kept. ' defaults['ech_find_nabove_min_snr'] = 2 dtypes['ech_find_nabove_min_snr'] = int descr['ech_find_nabove_min_snr'] = 'Criteria for keeping echelle objects. They must either have a maximum S/N across ' \ - 'all the orders greater than ech_find_max_snr, value' \ + 'all the orders greater than ech_find_max_snr, value ' \ ' or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. ' \ - 'If maxnumber is set (see above) then these criteria' \ + 'If maxnumber is set (see above) then these criteria ' \ 'will be applied but only the maxnumber highest (median) S/N ratio objects will be kept.' @@ -3689,18 +3687,18 @@ def __init__(self, trace_npoly=None, snr_thresh=None, find_trim_edge=None, defaults['find_negative'] = None dtypes['find_negative'] = bool descr['find_negative'] = 'Identify negative objects in object finding for spectra that are differenced. This is used to manually ' \ - 'override the default behavior in PypeIt for object finding by setting this parameter to something other than None' \ + 'override the default behavior in PypeIt for object finding by setting this parameter to something other than None ' \ 'The default behavior is that PypeIt will search for negative object traces if background frames ' \ 'are present in the PypeIt file that are classified as "science" ' \ - '(i.e. via pypeit_setup -b, and setting bkg_id in the PypeIt file). If background frames are present' \ - 'that are classified as "sky", then PypeIt will NOT search for negative object traces. If one wishes' \ + '(i.e. via pypeit_setup -b, and setting bkg_id in the PypeIt file). If background frames are present ' \ + 'that are classified as "sky", then PypeIt will NOT search for negative object traces. If one wishes ' \ 'to explicitly override this default behavior, set this parameter to True to find negative objects or False to ignore ' \ 'them.' defaults['find_min_max'] = None dtypes['find_min_max'] = list - descr['find_min_max'] = 'It defines the minimum and maximum of your object in the spectral direction on the'\ - 'detector. It only used for object finding. This parameter is helpful if your object only'\ + descr['find_min_max'] = 'It defines the minimum and maximum of your object in the spectral direction on the ' \ + 'detector. It only used for object finding. This parameter is helpful if your object only ' \ 'has emission lines or at high redshift and the trace only shows in part of the detector.' @@ -4796,8 +4794,8 @@ def __init__(self, tolerance=None, dry_run=None, ignore_flux=None, flux=None, ma "objects are within this distance from each other, they " \ "are considered the same object. If match_using is 'ra/dec' (the default) " \ "this is an angular distance. The defaults units are arcseconds but " \ - "other units supported by astropy.coordinates.Angle can be used" \ - "(e.g. '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float." + "other units supported by astropy.coordinates.Angle can be used " \ + "(`e.g.`, '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float." # Enables a dry_run in which no coadding is done @@ -4809,7 +4807,8 @@ def __init__(self, tolerance=None, dry_run=None, ignore_flux=None, flux=None, ma # Forces coadding using counts instead of flux defaults['ignore_flux'] = False dtypes['ignore_flux'] = bool - descr['ignore_flux'] = "If set, the script will only coadd non-fluxed spectra even if flux data is present. Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated." + descr['ignore_flux'] = "If set, the script will only coadd non-fluxed spectra even if flux data is present. " \ + "Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated." # Enables a flux calibration after coadding defaults['flux'] = False From 5304f897b12441885da2d4533ecd34f138d6ef66 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 6 Apr 2023 11:36:06 -0700 Subject: [PATCH 190/308] ql fixes --- pypeit/core/wavecal/autoid.py | 2 +- pypeit/metadata.py | 18 ++- pypeit/pypeitsetup.py | 12 -- pypeit/scripts/ql.py | 205 ++++++++++++++++++++-------------- 4 files changed, 134 insertions(+), 103 deletions(-) diff --git a/pypeit/core/wavecal/autoid.py b/pypeit/core/wavecal/autoid.py index 1f13e79161..41d48dfd48 100644 --- a/pypeit/core/wavecal/autoid.py +++ b/pypeit/core/wavecal/autoid.py @@ -768,7 +768,7 @@ def full_template(spec, lamps, par, ok_mask, det, binspectral, nsnippet=2, pad_spec[npad // 2:npad // 2 + len(obs_spec_i)] = obs_spec_cont_sub tspec = templ_spec_cont_sub elif npad < 0: # Pad the template! - pspec = obs_spec_cont_sub + pad_spec = obs_spec_cont_sub npad *= -1 tspec = np.zeros(nspec) tspec[npad // 2:npad // 2 + ncomb] = templ_spec_cont_sub diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 5b71cc0b0a..03fc14b4fb 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -1507,7 +1507,8 @@ def write_sorted(self, ofile, overwrite=True, ignore=None, def write_pypeit(self, output_path=None, cfg_lines=None, write_bkg_pairs=False, write_manual=False, - configs=None, version_override=None, date_override=None): + configs=None, config_subdir=True, + version_override=None, date_override=None): """ Write a pypeit file in data-table format. @@ -1541,6 +1542,12 @@ def write_pypeit(self, output_path=None, cfg_lines=None, the configurations matched to this provided string or list of strings (e.g., ['A','C']). See :attr:`configs`. + config_subdir (:obj:`bool`, optional): + Flag to place the pypeit file in a subdirectory named for each + configuration. If True, the pypeit file is written to + ``{spec}_{config}/{spec}_{config}.pypeit`` (e.g., + ``shane_kast_blue_A/shane_kast_blue_A.pypeit``). If False, the + pypeit file is placed directly in the ``output_path``. version_override (:obj:`str`, optional): Override the current version and use this one instead. **For documentation purposes only!** @@ -1582,9 +1589,12 @@ def write_pypeit(self, output_path=None, cfg_lines=None, for j,setup in enumerate(cfg_keys): # Create the output directory root = '{0}_{1}'.format(self.spectrograph.name, setup) - odir = os.path.join(output_path, root) - if not os.path.isdir(odir): - os.makedirs(odir) + if config_subdir: + odir = os.path.join(output_path, root) + if not os.path.isdir(odir): + os.makedirs(odir) + else: + odir = output_path # Create the output file name ofiles[j] = os.path.join(odir, '{0}.pypeit'.format(root)) diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index 747aaea89e..3337608ae3 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -340,11 +340,6 @@ class is fully instantiated such that the user can return self.par, self.spectrograph, self.fitstbl - # TODO: I removed the calib_IDs option because it wasn't being used and it's - # going to be hard to do right! - # calib_IDs:list=None, - # calib_IDs (list, optional): - # List of calib IDs. def generate_ql_calib_pypeit_files(self, output_path:str, det:str=None, configs:str='all', @@ -377,13 +372,6 @@ def generate_ql_calib_pypeit_files(self, output_path:str, self.user_cfg += [f'detnum = {det}'] self.user_cfg += ['quicklook = True'] -# # TODO -- Remove this if we can -# # Calib ID -# if calib_IDs is None: -# self.fitstbl.table['calib'] = '0' -# else: -# self.fitstbl.table['calib'] = calib_IDs - # Write the PypeIt files # TODO: Exclude science/standard files from file? pypeit_files = self.fitstbl.write_pypeit( diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index c13d90ec31..72718de7d5 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -36,6 +36,7 @@ from pypeit import pypeitsetup from pypeit import io from pypeit import pypeit +from pypeit.par.pypeitpar import PypeItPar from pypeit.calibframe import CalibFrame from pypeit.core.parse import parse_binning from pypeit.scripts import scriptbase @@ -218,70 +219,87 @@ def generate_sci_pypeitfile(redux_path:str, # Add the boxcar radius if specified if boxcar_radius is not None: - cfg['redux'] = {'extraction': {'boxcar_radius': boxcar_radius}} + cfg['reduce'] = {'extraction' : {'boxcar_radius': boxcar_radius}} - # Write the pypeit file (note this returns the filename, not the list) + # Write the pypeit file (note this returns the filename, not the list, + # because of the [0] at the end of the call) return ps_sci.fitstbl.write_pypeit(output_path=sci_dir, cfg_lines=configobj.ConfigObj(cfg).write(), - write_bkg_pairs=True, configs=setup)[0] + write_bkg_pairs=True, configs=setup, + config_subdir=False)[0] -def match_science_to_calibs(ps_sci:pypeitsetup.PypeItSetup, - calib_dir:str): +def match_to_calibs(ps:pypeitsetup.PypeItSetup, calib_dir:str): """ - Match a set of science frames to the set of pre-made calibrations in the - specified reduction folder, if any exists. + Match observations to a set of existing calibrations. + + The calibrations must exist within the provided parent directory. The + calibration directories must start with the PypeIt-specific name used for + the relevant spectrograph (e.g., ``shane_kast_blue``), and the + sub-directories must have a pypeit file that provides the instrument + configuration (setup) to be matched against the provided observation + metadata. Args: - ps_sci (:class:`pypeit.pypeitsetup.PypeItSetup`): + ps (:class:`pypeit.pypeitsetup.PypeItSetup`): Object providing metadata and parameters necessary to execute PypeIt - data reduction. It is expected that this *only* includes science - frames. + data reduction. calib_dir (:obj:`str`): - Full path to the calibration directory. This directory must exist. + Parent directory with the calibrations; see above. This directory + must exist. Returns: - :obj:`tuple`: Provides the PypeIt file used to build the calibrations + `Path`_: Directory with existing calibrations that Provides the PypeIt file used to build the calibrations and the full path to the calibration directory. """ # Check on one setup - if len(ps_sci.fitstbl.configs.keys()) > 1: - msgs.error('Your science files come from more than one setup. Please reduce them separately.') + if len(ps.fitstbl.configs.keys()) > 1: + msgs.error('Your observations use more than one setup. They must be reduced separately.') + + # Get the setup identifier. This should be 'A' because there is only one + # setup, but this just ensures we're using the exact identifier. + setup = list(ps.fitstbl.configs.keys())[0] # Check the calibration directory exists _calib_dir = Path(calib_dir).resolve() if not _calib_dir.exists(): msgs.error(f'Calibration directory does not exist: {_calib_dir}') - # Check against existing calibration PypeIt files - pypeit_files = sorted(_calib_dir.glob( - f'{ps_sci.spectrograph.name}_*/{ps_sci.spectrograph.name}_calib_*.pypeit')) - mtch = [] + # Find the pypeit files + pypeit_files = sorted(_calib_dir.glob('{0}_*/{0}*.pypeit'.format(ps.spectrograph.name))) + + if len(pypeit_files) == 0: + msgs.error('Could not find any pypeit files!') + + matched_calib_dir = [] for pypeit_file in pypeit_files: # Read pypeitFile = inputfiles.PypeItFile.from_file(pypeit_file) # Check for a match match = True - for key in ps_sci.spectrograph.configuration_keys(): - if ps_sci.fitstbl.configs['A'][key] != pypeitFile.setup[key]: + for key in ps.spectrograph.configuration_keys(): + if ps.fitstbl.configs[setup][key] != pypeitFile.setup[key]: match = False break + if not match: + continue - # Found one, so add it - if match: - mtch.append(pypeit_file) + # Matched. Use the pypeit file to set the directory with the + # calibrations and only add it if the directory exists. + par = PypeItPar.from_cfg_lines(pypeitFile.cfg_lines) + _matched_dir = pypeit_file.parent / par['calibrations']['calib_dir'] + if _matched_dir.exists(): + matched_calib_dir += [_matched_dir] # Are we ok? - if len(mtch) == 0: + if len(matched_calib_dir) == 0: msgs.error('Matched to zero setups. The calibrations files are stale/wrong/corrupt.') - elif len(mtch) > 1: + elif len(matched_calib_dir) > 1: msgs.warn('Matched to multiple setups. This should not have happened, but we will take ' 'the first.') - # NOTE: Assumes ps_sci.par['calibrations']['calib_dir'] is the same as the - # default, and the default was used when the calibrations were processed. - return mtch[0], mtch[0].parent / ps_sci.par['calibrations']['calib_dir'] + return matched_calib_dir[0] def get_setup_calib(calib_dir): @@ -449,8 +467,8 @@ def main(args): if len(files) == 0: msgs.error('No files to read! Check --raw_files, --raw_path, and/or --ext input.') - # Include an option to save the ingested file list as a PypeIt RawFile - # that can be edited? + # TODO: Include an option to save the ingested file list as a PypeIt + # RawFile that can be edited? # from pypeit.inputfiles import RawFiles # tbl = Table() # tbl['filename'] = [Path(r).resolve().name for r in files] @@ -467,11 +485,55 @@ def main(args): # TODO: Check these against ones that have been specified as science using 'sci_files' msgs.error('Could not determine frame types for the following files: ' + ', '.join(ps.fitstbl['frametype'][unknown_types])) - + + # Science files + # TODO: Include standards as well? Add a command-line option? + sci_idx = ps.fitstbl.find_frames('science') if args.sci_files is None \ + else np.in1d(ps.fitstbl['filename'].data, args.sci_files) + + setup_calib_dir = None if args.setup_calib_dir is None \ + else Path(args.setup_calib_dir).resolve() + if any(sci_idx): + if args.bkg_redux: + # Binning + binspectral, binspatial = parse_binning(ps.fitstbl['binning'][sci_idx][0]) + # Plate scale + # NOTE: Assumes that the platescale does not change between + # detectors or between observations! + platescale = ps.spectrograph.get_detector_par(1)['platescale']*binspatial + # Report + print_offset_report(ps.fitstbl[sci_idx], platescale) + + # Generate science setup object + # TODO: What happens for science frames that automatically get typed as + # `arc,science,tilt` with separate calibration groups? + sci_files = ps.fitstbl.frame_paths(sci_idx) + ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name) + ps_sci.run(setup_only=True) + # Limit to a single science setup + if len(ps_sci.fitstbl.configs.keys()) > 1: + msgs.error('Your science files come from more than one setup. They must be ' + 'reduced separately.') + + if args.parent_calib_dir is not None and setup_calib_dir is None: + # The parent directory has been defined, so try to find a + # relevant set of existing calibrations + + # Set the calibrations directory, either provided by the user or by + # matching the available setups to that used for the science files + setup_calib_dir = match_to_calibs(ps_sci, args.parent_calib_dir) + + elif not args.calib_only: + msgs.warn('No science frames found among the files provided. Will only process ' + 'calibration frames. If you have provided science frames, you can specify ' + 'which ones they are using the --sci_files option.') + # Calibrate, if necessary - parent_calib_dir = args.parent_calib_dir if args.parent_calib_dir is not None \ - else args.redux_path - if args.setup_calib_dir is None: + if setup_calib_dir is None: + msgs.info('Building the processed calibration frames.') + parent_calib_dir = args.redux_path if args.parent_calib_dir is None \ + else args.parent_calib_dir + # Generate PypeIt files (and folders) calib_pypeit_files = ps.generate_ql_calib_pypeit_files( parent_calib_dir, det=args.det, configs='all', @@ -481,70 +543,41 @@ def main(args): for calib_pypeit_file in calib_pypeit_files: # Path to PypeIt file redux_path = Path(calib_pypeit_file).resolve().parent - # Check for existing masters - calib_files = list((redux_path / ps.par['calibrations']['calib_dir']).glob('*')) - if len(calib_files) > 0 and not args.overwrite_calibs: - msgs.info('Calibration files already exist. Skipping calibration.') - continue - - # TODO: What happens for science frames that automatically get - # typed as `arc,science,tilt` with separate calibration groups? + # Path for calibrations. + # NOTE: When running with science frames, there will only be one + # setup and one pypeit file. So this sets the `setup_calib_dir` + # used for the science frames. If calibrations are present from + # multiple setups, the code will have faulted above if there + # were science frames included. Otherwise, only the + # calibrations will be processed and this object is only needed + # locally, within this for loop. + setup_calib_dir = redux_path / ps.par['calibrations']['calib_dir'] + + # Check for existing calibrations # TODO: There may be a non-negligible overhead, but we should be # able to use Calibrations.get_association to get the list of # calibrations that *should* exist to figure out if we need to - # do anything. The above just checks for any calibration - # files... + # do anything. Below just checks for any calibration files... + calib_files = list(setup_calib_dir.glob('*')) + if len(calib_files) > 0 and not args.overwrite_calibs: + msgs.info('Calibration files already exist. Skipping calibration.') + continue # Run + # TODO: What happens for science frames that automatically get + # typed as `arc,science,tilt` with separate calibration groups? pypeIt = pypeit.PypeIt(calib_pypeit_file, redux_path=str(redux_path), calib_only=True) pypeIt.calib_all() - if args.calibs_only: - msgs.info('Calibrations only requested. Exiting.') + if args.calibs_only or not any(sci_idx): + msgs.info('Only calibrations exist or request calibration processing only. Exiting.') return - # Science files - # TODO: Include standards as well? Add a command-line option? - sci_idx = ps.fitstbl.find_frames('science') if args.sci_files is None \ - else np.in1d(ps.fitstbl['filename'].data, args.sci_files) - if np.sum(sci_idx) == 0: - msgs.error('No science frames found in the provided files. Add at least one or ' - 'specify using --sci_files.') - - # Dither pattern? - if args.bkg_redux: -# _det = None if args.det is None else [eval(d) for d in args.det] -# detectors = pypeit.PypeIt.select_detectors(ps.spectrograph, _det, args.slitspatnum) - # Binning - binspectral, binspatial = parse_binning(ps.fitstbl['binning'][sci_idx][0]) - # Plate scale - # NOTE: Assumes that the platescale does not change between - # detectors or between observations! - platescale = ps.spectrograph.get_detector_par(1)['platescale']*binspatial - # Report - print_offset_report(ps.fitstbl[sci_idx], platescale) - - # Generate science setup object - # TODO: What happens for science frames that automatically get typed as - # `arc,science,tilt` with separate calibration groups? - sci_files = ps.fitstbl.frame_paths(sci_idx) - ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name) - ps_sci.run(setup_only=True) - # Limit to a single science setup - if len(ps_sci.fitstbl.configs.keys()) > 1: - msgs.error('Your science files come from more than one setup. They must be reduces ' - 'separately.') - - # Set the calibrations directory, either provided by the user or by - # matching the available setups to that used for the science files - setup_calib_dir = match_science_to_calibs(ps_sci, parent_calib_dir)[1] \ - if args.setup_calib_dir is None \ - else Path(args.setup_calib_dir).resolve() - - # Build the PypeIt file and link to Masters + # Build the PypeIt file for the science frames and link to the existing + # calibrations. sci_pypeit_file = generate_sci_pypeitfile( args.redux_path, setup_calib_dir, @@ -555,7 +588,7 @@ def main(args): boxcar_radius=args.boxcar_radius, bkg_redux=args.bkg_redux, stack=args.stack) - + # Run it pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_calibs=True) pypeIt.reduce_all() From ee4f8879324e763baa66c95a9db147419fba99f1 Mon Sep 17 00:00:00 2001 From: joe Date: Thu, 6 Apr 2023 12:24:41 -0700 Subject: [PATCH 191/308] Added chk_version option to override different version of PypeIt crash. --- pypeit/coadd1d.py | 2 +- pypeit/par/pypeitpar.py | 11 +++++++++-- 2 files changed, 10 insertions(+), 3 deletions(-) diff --git a/pypeit/coadd1d.py b/pypeit/coadd1d.py index 30dad70beb..f7196bf4ca 100644 --- a/pypeit/coadd1d.py +++ b/pypeit/coadd1d.py @@ -96,7 +96,7 @@ def load_arrays(self): - waves, fluxes, ivars, gpms, header """ for iexp in range(self.nexp): - sobjs = specobjs.SpecObjs.from_fitsfile(self.spec1dfiles[iexp]) + sobjs = specobjs.SpecObjs.from_fitsfile(self.spec1dfiles[iexp], chk_version=self.par['chk_version']) indx = sobjs.name_indices(self.objids[iexp]) if not np.any(indx): msgs.error("No matching objects for {:s}. Odds are you input the wrong OBJID".format(self.objids[iexp])) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index a5b61e794b..578a4cf206 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -998,7 +998,7 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, sn_smooth_npix=None, wave_method=None, dv=None, wave_grid_min=None, wave_grid_max=None, spec_samp_fact=None, ref_percentile=None, maxiter_scale=None, sigrej_scale=None, scale_method=None, sn_min_medscale=None, sn_min_polyscale=None, maxiter_reject=None, lower=None, upper=None, maxrej=None, sn_clip=None, nbest=None, sensfuncfile=None, coaddfile=None, - mag_type=None, filter=None, filter_mag=None, filter_mask=None): + mag_type=None, filter=None, filter_mag=None, filter_mask=None, chk_version=None): # Grab the parameter names and values from the function # arguments @@ -1164,6 +1164,13 @@ def __init__(self, ex_value=None, flux_value=None, nmaskedge=None, dtypes['coaddfile'] = str descr['coaddfile'] = 'Output filename' + + # Version checking + defaults['chk_version'] = True + dtypes['chk_version'] = bool + descr['chk_version'] = 'If True enforce strict PypeIt version checking to ensure that spec1d*.fits files were created' \ + 'with the current version of PypeIt' + # Instantiate the parameter set super(Coadd1DPar, self).__init__(list(pars.keys()), values=list(pars.values()), @@ -1178,7 +1185,7 @@ def from_dict(cls, cfg): parkeys = ['ex_value', 'flux_value', 'nmaskedge', 'sn_smooth_npix', 'wave_method', 'dv', 'wave_grid_min', 'wave_grid_max', 'spec_samp_fact', 'ref_percentile', 'maxiter_scale', 'sigrej_scale', 'scale_method', 'sn_min_medscale', 'sn_min_polyscale', 'maxiter_reject', 'lower', 'upper', - 'maxrej', 'sn_clip', 'nbest', 'sensfuncfile', 'coaddfile', + 'maxrej', 'sn_clip', 'nbest', 'sensfuncfile', 'coaddfile', 'chk_version', 'filter', 'mag_type', 'filter_mag', 'filter_mask'] badkeys = np.array([pk not in parkeys for pk in k]) From e8d3eaa77a2930d5548c696ef980fe5205eca6d7 Mon Sep 17 00:00:00 2001 From: joe Date: Thu, 6 Apr 2023 12:26:27 -0700 Subject: [PATCH 192/308] Added chk_version option to override different version of PypeIt crash. --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index 2d55ca1da4..6dcce31461 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -7,6 +7,7 @@ - Allow user control of the local sky subtraction window - Deprecate use of python 3.8 with PypeIt, allow python 3.11 - Make pypeit_show_2dspec (somewhat) backwards compatible. +- Added the option to disable strict version checking for 1d coadds. 1.12.2 (29 Mar 2023) -------------------- From a91f74d0c8078c816ac47bdfdcb86a6bdccf439b Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 6 Apr 2023 15:36:16 -0700 Subject: [PATCH 193/308] Fix DevSuite failures --- pypeit/core/datacube.py | 5 +++-- pypeit/core/telluric.py | 10 +++++----- pypeit/spectrographs/spectrograph.py | 18 ++++++++---------- 3 files changed, 16 insertions(+), 17 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 9ea07b5782..6820de879a 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1119,7 +1119,7 @@ def generate_cube_subpixel(outfile, output_wcs, all_sci, all_ivar, all_wghts, al # Prepare the header, and add the unit of flux to the header hdr = output_wcs.to_header() if fluxcal: - hdr['FLUXUNIT'] = (PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") + hdr['FLUXUNIT'] = (flux_calib.PYPEIT_FLUX_SCALE, "Flux units -- erg/s/cm^2/Angstrom/arcsec^2") else: hdr['FLUXUNIT'] = (1, "Flux units -- counts/s/Angstrom/arcsec^2") @@ -1362,7 +1362,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Calculate the sensitivity curve zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm =\ flux_calib.fit_zeropoint(wave.value, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, - mask_hydrogen_lines=senspar['mask_hydrogen_lines'], mask_helium_line=senspar['mask_helium_lines'], + mask_hydrogen_lines=senspar['mask_hydrogen_lines'], + mask_helium_lines=senspar['mask_helium_lines'], hydrogen_mask_wid=senspar['hydrogen_mask_wid'], nresln=senspar['UVIS']['nresln'], resolution=senspar['UVIS']['resolution'], trans_thresh=senspar['UVIS']['trans_thresh'], polyorder=senspar['polyorder'], diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index 68768b8a03..e3371117cd 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -1331,11 +1331,11 @@ def sensfunc_telluric(wave, counts, counts_ivar, counts_mask, exptime, airmass, debug=debug_init) # Optionally, mask prominent stellar absorption features - mask_tot = flux_calib.get_mask( - wave, counts, counts_ivar, counts_mask, mask_telluric=False, - mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, - hydrogen_mask_wid=hydrogen_mask_wid, - ) + mask_bad, mask_recomb, mask_tell = flux_calib.get_mask(wave, counts, counts_ivar, counts_mask, + mask_hydrogen_lines=mask_hydrogen_lines, + mask_helium_lines=mask_helium_lines, + mask_telluric=False, hydrogen_mask_wid=hydrogen_mask_wid) + mask_tot = mask_bad & mask_recomb & mask_tell # Since we are fitting a sensitivity function, first compute counts per second per angstrom. TelObj = Telluric(wave, counts, counts_ivar, mask_tot, telgridfile, obj_params, diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 4b12fc07e6..15e99a1811 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -28,16 +28,14 @@ from abc import ABCMeta import os -from configobj import ConfigObj +import pathlib from IPython import embed import numpy as np from pypeit import msgs -from pypeit import utils from pypeit import io -from pypeit.core.wavecal import wvutils from pypeit.core import parse from pypeit.core import procimg from pypeit.core import meta @@ -1222,7 +1220,7 @@ def get_meta_value(self, inp, meta_key, required=False, Return meta data from a given file (or its array of headers). Args: - inp (:obj:`str`, `astropy.io.fits.Header`_, :obj:`list`): + inp (:obj:`str`, :obj:`pathlib.Path`, `astropy.io.fits.Header`_, :obj:`list`): Input filename, an `astropy.io.fits.Header`_ object, or a list of `astropy.io.fits.Header`_ objects. If None, function simply returns None without issuing any warnings/errors, unless @@ -1259,7 +1257,7 @@ def get_meta_value(self, inp, meta_key, required=False, Returns: Value recovered for (each) keyword. Can be None. """ - if isinstance(inp, str): + if isinstance(inp, (str, pathlib.Path)): headarr = self.get_headarr(inp) elif inp is None or isinstance(inp, list): headarr = inp @@ -1492,7 +1490,7 @@ def get_headarr(self, inp, strict=True): Read the header data from all the extensions in the file. Args: - inp (:obj:`str`, `astropy.io.fits.HDUList`_): + inp (:obj:`str`, :obj:`pathlib.Path`, `astropy.io.fits.HDUList`_): Name of the file to read or the previously opened HDU list. If None, the function will simply return None. strict (:obj:`bool`, optional): @@ -1511,16 +1509,16 @@ def get_headarr(self, inp, strict=True): # Faster to open the whole file and then assign the headers, # particularly for gzipped files (e.g., DEIMOS) - if isinstance(inp, str): + if isinstance(inp, (str, pathlib.Path)): self._check_extensions(inp) try: hdu = io.fits_open(inp) except: if strict: - msgs.error('Problem opening {0}.'.format(inp)) + msgs.error(f'Problem opening {inp}.') else: - msgs.warn('Problem opening {0}.'.format(inp) + msgs.newline() - + 'Proceeding, but should consider removing this file!') + msgs.warn(f'Problem opening {inp}.{msgs.newline()}' + 'Proceeding, but should consider removing this file!') return None #['None']*999 # self.numhead else: hdu = inp From 9de917577ad5b506297efa5f66546fe4334183c1 Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 7 Apr 2023 14:05:50 +0100 Subject: [PATCH 194/308] fix datacube --- pypeit/core/datacube.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 44535a1a05..3552889ef2 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1127,7 +1127,7 @@ def generate_cube_subpixel(outfile, output_wcs, all_sci, all_ivar, all_wghts, al # Write out the datacube msgs.info("Saving datacube as: {0:s}".format(outfile)) - final_cube = DataCube(datacube.T, np.sqrt(varcube.T), bpmcube, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) + final_cube = DataCube(datacube.T, np.sqrt(varcube.T), bpmcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) # Save a residuals cube, if requested @@ -1205,7 +1205,7 @@ def generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, vox_coord, bin hdu.writeto(outfile_resid, overwrite=overwrite) msgs.info("Saving datacube as: {0:s}".format(outfile)) - final_cube = DataCube(datacube.T, np.sqrt(var_cube.T), bpmcube, specname, blaze_wave, blaze_spec, + final_cube = DataCube(datacube.T, np.sqrt(var_cube.T), bpmcube.T, specname, blaze_wave, blaze_spec, sensfunc=sensfunc, fluxed=fluxcal) final_cube.to_file(outfile, hdr=hdr, overwrite=overwrite) From 4ccaa97836adfcbd3e7de798921f497733d489e4 Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 7 Apr 2023 14:38:52 +0100 Subject: [PATCH 195/308] fix datacube --- pypeit/core/datacube.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 3552889ef2..3178f2abca 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -445,7 +445,8 @@ def fitGaussian2D(image, norm=False): y = np.linspace(0, image.shape[1] - 1, image.shape[1]) xx, yy = np.meshgrid(x, y, indexing='ij') # Setup the fitting params - idx_max = np.unravel_index(np.argmax(image), image.shape) + idx_max = [image.shape[0]/2, image.shape[1]/2] # Just use the centre of the image as the best guess + #idx_max = np.unravel_index(np.argmax(image), image.shape) initial_guess = (1, idx_max[0], idx_max[1], 2, 2, 0, 0) bounds = ([0, 0, 0, 0.5, 0.5, -np.pi, -np.inf], [np.inf, image.shape[0], image.shape[1], image.shape[0], image.shape[1], np.pi, np.inf]) @@ -649,6 +650,7 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): ret_flux *= arcsecSQ ret_var *= arcsecSQ**2 # Return the box extraction results + embed() return wave, ret_flux, utils.inverse(ret_var), ret_gpm @@ -1362,6 +1364,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): star_mag=senspar['star_mag'], ra=star_ra, dec=star_dec) # Calculate the sensitivity curve + embed() zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm =\ fit_zeropoint(wave.value, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, mask_abs_lines=senspar['mask_abs_lines'], balm_mask_wid=senspar['UVIS']['balm_mask_wid'], From eea3ec74d1ef8b96d4326e78aeac9672b3581908 Mon Sep 17 00:00:00 2001 From: deborape Date: Fri, 7 Apr 2023 12:46:12 -0700 Subject: [PATCH 196/308] improve display.show_trace --- pypeit/display/display.py | 93 ++++++++++++++++++++++++----------- pypeit/scripts/show_2dspec.py | 45 ++++++++++------- 2 files changed, 92 insertions(+), 46 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 6a4d0c5ba8..d8e88a2288 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -491,7 +491,8 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= # # fontsize=20.) canvas.add('constructedcanvas', canvas_list) -def show_trace(viewer, ch, trace, trc_name='Trace', color='blue', clear=False, + +def show_trace(viewer, ch, trace, trc_name=None, maskdef_extr=None, manual_extr=None, clear=False, rotate=False, pstep=50, yval=None): """ @@ -500,44 +501,80 @@ def show_trace(viewer, ch, trace, trc_name='Trace', color='blue', clear=False, Ginga RC viewer ch (ginga.util.grc._channel_proxy): Ginga channel - trace (np.ndarray): - Spatial positions on the detector. Shape = (nspec,) - trc_name (str, optional): - Trace name - color (str, optional): - Color for the trace - clear (bool, optional): + trace (`numpy.ndarray`_): + Array with spatial position of the object traces on the detector. + Shape must be :math:`(N_{\rm spec},)` or :math:`(N_{\rm spec}, N_{\rm trace})`. + trc_name (`numpy.ndarray`_, optional): + Array with Trace names. Shape must be :math:`(N_{\rm trace},)`. + maskdef_extr (`numpy.ndarray`_, optional): + Array with the maskdef extraction flags. Shape must be :math:`(N_{\rm trace},)`. + manual_extr (`numpy.ndarray`_, optional): + Array with the manual extraction flags. Shape must be :math:`(N_{\rm trace},)`. + clear (:obj:`bool`, optional): Clear the canvas? - rotate (bool, optional): + rotate (:obj:`bool`, optional): Rotate the image? - pstep (int, optional): - Show every pstep point of the edges as opposed to *every* point, recommended for speed - yval (np.ndarray, optional): - If not provided, it is assumed the input x values track y=0,1,2,3,etc. + pstep (:obj:`bool`, optional): + Show every pstep point of the edges as opposed to *every* + point, recommended for speed. + yval (`numpy.ndarray`_, optional): + Array with spectral position of the object traces. Shape must be :math:`(N_{\rm spec},)` + or :math:`(N_{\rm spec}, N_{\rm trace})`. If not passed in, the default of + np.arange(:math:`(N_{\rm spec},)`) will be used. """ # Canvas canvas = viewer.canvas(ch._chname) if clear: canvas.clear() + # # Show + # if yval is None: + # y = (np.arange(trace.size)[::pstep]).tolist() + # else: + # y = yval[::pstep].tolist() + # trace_list = trace[::pstep].tolist() + # xy = [trace_list, y] + # if rotate: + # xy[0], xy[1] = xy[1], xy[0] + # points = list(zip(xy[0], xy[1])) + # canvas.add(str('path'), points, color=str(color)) + # # Text + # ohf = len(trace_list)//2 + # xyt = [float(trace_list[ohf]), float(y[ohf])] + # if rotate: + # xyt[0], xyt[1] = xyt[1], xyt[0] + # # Do it + # canvas.add(str('text'), xyt[0], xyt[1], trc_name, rot_deg=90., color=str(color), fontsize=17.) + + if trace.ndim == 1: + trace = trace.reshape(-1,1) + # Show if yval is None: - y = (np.arange(trace.size)[::pstep]).tolist() + y = np.repeat(np.arange(trace.shape[0]).astype(float)[:, None], trace.shape[1], axis=1) else: - y = yval[::pstep].tolist() - trace_list = trace[::pstep].tolist() - xy = [trace_list, y] - if rotate: - xy[0], xy[1] = xy[1], xy[0] - points = list(zip(xy[0], xy[1])) - canvas.add(str('path'), points, color=str(color)) - # Text - ohf = len(trace_list)//2 - xyt = [float(trace_list[ohf]), float(y[ohf])] - if rotate: - xyt[0], xyt[1] = xyt[1], xyt[0] - # Do it - canvas.add(str('text'), xyt[0], xyt[1], trc_name, rot_deg=90., color=str(color), fontsize=17.) + y = yval.reshape(-1, 1) if yval.ndim == 1 else yval + + canvas_list = [] + for i in range(trace.shape[1]): + if maskdef_extr[i]: + color = '#f0e442' + elif manual_extr[i]: + color = '#33ccff' + else: + color = 'orange' + canvas_list += [dict(type=str('path'), + args=(list(zip(y[::pstep,i].tolist(), trace[::pstep,i].tolist())),) if rotate + else (list(zip(trace[::pstep,i].tolist(), y[::pstep,i].tolist())),), + kwargs=dict(color=color))] + # Text + ohf = len(trace[:,i])//2 + # Do it + canvas_list += [dict(type='text',args=(float(y[ohf,i]), float(trace[ohf,i]), str(trc_name[i])) if rotate + else (float(trace[ohf,i]), float(y[ohf,i]), str(trc_name[i])), + kwargs=dict(color=color, fontsize=17., rot_deg=90.))] + + canvas.add('constructedcanvas', canvas_list) def clear_canvas(cname): diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index 2feac53e7b..4799ce1856 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -30,16 +30,13 @@ from pypeit.scripts import scriptbase -# TODO: We should not be calling objects by the same names as modules we've -# loaded. I.e., we've loaded specobjs, and here we're passing specobjs to this -# function... -def show_trace(specobjs, det, viewer, ch): +def show_trace(sobjs, det, viewer, ch): """ Overplot the extracted object traces for this detector in the provided ginga channel. Args: - specobjs (:class:`~pypeit.specobjs.SpecObjs`): + sobjs (:class:`~pypeit.specobjs.SpecObjs`): Object holding the 1D spectral extractions. If None, the function doesn't do anything. det (:obj:`str`): @@ -48,25 +45,37 @@ def show_trace(specobjs, det, viewer, ch): viewer (?): ch (?): """ - if specobjs is None: + if sobjs is None: return - in_det = np.where(specobjs.DET == det)[0] + in_det = np.where(sobjs.DET == det)[0] + trace_list = [] + trc_name_list = [] + maskdef_extr_list = [] + manual_extr_list = [] for kk in in_det: - trace = specobjs[kk]['TRACE_SPAT'] - obj_id = specobjs[kk].NAME - maskdef_objname = specobjs[kk].MASKDEF_OBJNAME - maskdef_extr_flag = specobjs[kk].MASKDEF_EXTRACT - manual_extr_flag = specobjs[kk].hand_extract_flag + trace = sobjs[kk]['TRACE_SPAT'] + obj_id = sobjs[kk].NAME + maskdef_objname = sobjs[kk].MASKDEF_OBJNAME + maskdef_extr_flag = sobjs[kk].MASKDEF_EXTRACT + manual_extr_flag = sobjs[kk].hand_extract_flag if maskdef_objname is not None: trc_name = '{} OBJNAME:{}'.format(obj_id, maskdef_objname) else: trc_name = obj_id - if maskdef_extr_flag is not None and maskdef_extr_flag is True: - display.show_trace(viewer, ch, trace, trc_name, color='#f0e442') #hdu.name) - elif manual_extr_flag is True: - display.show_trace(viewer, ch, trace, trc_name, color='#33ccff') #hdu.name) - else: - display.show_trace(viewer, ch, trace, trc_name, color='orange') #hdu.name) + trace_list.append(trace) + trc_name_list.append(trc_name) + maskdef_extr_list.append(maskdef_extr_flag is True) + manual_extr_list.append(manual_extr_flag is True) + + display.show_trace(viewer, ch, np.swapaxes(trace_list, 1,0), np.array(trc_name_list), + maskdef_extr=np.array(maskdef_extr_list), manual_extr=np.array(manual_extr_list)) + + # if maskdef_extr_flag is not None and maskdef_extr_flag is True: + # display.show_trace(viewer, ch, trace, trc_name, color='#f0e442') #hdu.name) + # elif manual_extr_flag is True: + # display.show_trace(viewer, ch, trace, trc_name, color='#33ccff') #hdu.name) + # else: + # display.show_trace(viewer, ch, trace, trc_name, color='orange') #hdu.name) class Show2DSpec(scriptbase.ScriptBase): From b4c26da744fd2e81a07686cc867b6559c2411dde Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 8 Apr 2023 08:04:24 +0100 Subject: [PATCH 197/308] rm embed --- pypeit/core/datacube.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 3178f2abca..45dd8f36b4 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -650,7 +650,6 @@ def extract_standard_spec(stdcube, subpixel=20, method='boxcar'): ret_flux *= arcsecSQ ret_var *= arcsecSQ**2 # Return the box extraction results - embed() return wave, ret_flux, utils.inverse(ret_var), ret_gpm From d2573f0920ca270f1b9f0806878dedaa9305604e Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 8 Apr 2023 12:00:10 +0100 Subject: [PATCH 198/308] rm embed --- pypeit/core/datacube.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 45dd8f36b4..f4a21f9baa 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1363,7 +1363,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): star_mag=senspar['star_mag'], ra=star_ra, dec=star_dec) # Calculate the sensitivity curve - embed() zeropoint_data, zeropoint_data_gpm, zeropoint_fit, zeropoint_fit_gpm =\ fit_zeropoint(wave.value, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, mask_abs_lines=senspar['mask_abs_lines'], balm_mask_wid=senspar['UVIS']['balm_mask_wid'], From c4475271da76d171e3aa691f7d5579e07a6dcf78 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 8 Apr 2023 19:29:05 +0100 Subject: [PATCH 199/308] PR comments --- pypeit/core/flexure.py | 2 +- pypeit/spectrographs/soar_goodman.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index 6314b3e22b..321501e0bd 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -666,7 +666,7 @@ def spec_flexure_slit(slits, slitord, slit_bpm, sky_file, method="boxcar", speco flex_list.append(empty_flex_dict.copy()) continue - # get spectral FWHM (in Angstrom) if available + # get spectral FWHM (in pixels) if available spec_fwhm_pix = None if wv_calib is not None: iwv = np.where(wv_calib.spat_ids == slits.spat_id[islit])[0][0] diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index 9108ca5c8c..1563e7d0fd 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -532,6 +532,7 @@ def config_specific_par(self, scifile, inp_par=None): if self.get_meta_value(scifile, 'dispname') == '400_SYZY': par['calibrations']['wavelengths']['reid_arxiv'] = 'soar_goodman_blue_400_SYZY.fits' par['calibrations']['wavelengths']['method'] = 'full_template' + par['calibrations']['flatfield']['slit_illum_finecorr'] = False # Turn this off due to junk in the unilluminated part of the detector # Return return par From 01b29ff5104dd67e1fc1d4e685b2512f7ce3548a Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 9 Apr 2023 07:21:46 +0100 Subject: [PATCH 200/308] PR merge fix --- pypeit/core/datacube.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 006a08ab70..a08889ebd9 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1564,7 +1564,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): parset['reduce']['extraction']['boxcar_radius'], slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) # Calculate the flexure - flex_dict = flexure.spec_flex_shift(ref_skyspec, sky_spectrum, sky_fwhm_pix, spec_fwhm=ref_fwhm_pix, + flex_dict = flexure.spec_flex_shift(ref_skyspec, sky_spectrum, sky_fwhm_pix, spec_fwhm_pix=ref_fwhm_pix, mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], method="slitcen") # This absolute shift is the same for all slits @@ -1577,7 +1577,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): parset['reduce']['extraction']['boxcar_radius'], slits, trace_spat[:, slit_idx], hdr['PYPELINE'], det) # Calculate the flexure - flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_pix*1.01, spec_fwhm=ref_fwhm_pix, + flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_pix*1.01, spec_fwhm_pix=ref_fwhm_pix, mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], method="slitcen") From e15baf8c25abdab4e32868a7d4633e0c09c7daaa Mon Sep 17 00:00:00 2001 From: deborape Date: Sun, 9 Apr 2023 01:47:17 -0700 Subject: [PATCH 201/308] working on chk_tilts --- pypeit/display/display.py | 124 +++++++++++++++++---------------- pypeit/scripts/chk_tilts.py | 41 +++++++++++ pypeit/wavetilts.py | 135 ++++++++++++++++++++++++++++-------- setup.cfg | 2 +- 4 files changed, 213 insertions(+), 89 deletions(-) create mode 100644 pypeit/scripts/chk_tilts.py diff --git a/pypeit/display/display.py b/pypeit/display/display.py index d8e88a2288..f6d56af46e 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -607,11 +607,10 @@ def clear_all(allow_new=False): shell.delete_channel(ch) -def show_tilts(viewer, ch, trc_tilt_dict, sedges=None, yoff=0., xoff=0., pstep=1, +def show_tilts(viewer, ch, trc_tilt_dict, yoff=0., xoff=0., pstep=1, points=True, clear_canvas=False): """ Show the arc tilts on the input channel - Not sure this is actually working correctly... Args: viewer (ginga.util.grc.RemoteClient): @@ -620,8 +619,6 @@ def show_tilts(viewer, ch, trc_tilt_dict, sedges=None, yoff=0., xoff=0., pstep=1 Ginga channel trc_tilt_dict (dict): Contains tilts info - sedges (tuple, optional): - Contains slit edges; passed to show_slits() yoff (float, optional): Offset tilts by this amount xoff (float, optional): @@ -638,63 +635,68 @@ def show_tilts(viewer, ch, trc_tilt_dict, sedges=None, yoff=0., xoff=0., pstep=1 if clear_canvas: canvas.clear() - if sedges is not None: - show_slits(viewer, ch, sedges[0], sedges[1]) - - tilts = trc_tilt_dict['tilts'] - # Crutch is set plot the crutch instead of the tilt itself - tilts_fit = trc_tilt_dict['tilts_fit'] - - tilts_spat = trc_tilt_dict['tilts_spat'] - tilts_mask = trc_tilt_dict['tilts_mask'] - tilts_err = trc_tilt_dict['tilts_err'] - - use_tilt = trc_tilt_dict['use_tilt'] - # Show a trace - nspat = trc_tilt_dict['nspat'] - nspec = trc_tilt_dict['nspec'] - nlines = tilts.shape[1] - for iline in range(nlines): - x = tilts_spat[:,iline] + xoff # FOR IMAGING (Ginga offsets this value by 1 internally) - this_mask = tilts_mask[:,iline] - this_err = (tilts_err[:,iline] > 900) - if np.sum(this_mask) > 0: - if points: # Plot the gaussian weighted tilt centers - y = tilts[:, iline] + yoff + canvas_list = [] + for i in range(len(trc_tilt_dict)): + # parse trc_tilt_dict + tilts_spat = trc_tilt_dict[i]['tilts_spat'] + tilts = trc_tilt_dict[i]['tilts'] + tilts_fit = trc_tilt_dict[i]['tilt_2dfit'] + in_fit = trc_tilt_dict[i]['tot_mask'] + not_fit = np.invert(in_fit) & (tilts > 0) + fit_rej = in_fit & np.invert(trc_tilt_dict[i]['fit_mask']) + fit_keep = in_fit & trc_tilt_dict[i]['fit_mask'] + + # Plot the tilts + nlines = tilts.shape[1] + for iline in range(nlines): + x = tilts_spat[:,iline] + xoff # FOR IMAGING (Ginga offsets this value by 1 internally) + y = tilts[:, iline] + yoff + this_infit = in_fit[:,iline] + this_notfit = not_fit[:,iline] + this_fitrej = fit_rej[:,iline] + this_fitkeep = fit_keep[:,iline] + + if np.any(this_infit) and points: # Plot the gaussian weighted tilt centers # Plot the actual flux weighted centroids of the arc lines that were traced - goodpix = (this_mask == True) & (this_err == False) - ngood = np.sum(goodpix) - if ngood > 0: - xgood = x[goodpix] - ygood = y[goodpix] - # note: must cast numpy floats to regular python floats to pass the remote interface - points_good = [dict(type='squarebox', - args=(float(xgood[i]), float(ygood[i]), 0.7), - kwargs=dict(color='cyan',fill=True, fillalpha=0.5)) for i in range(ngood)] - canvas.add('constructedcanvas', points_good) - badpix = (this_mask == True) & (this_err == True) - nbad = np.sum(badpix) - if nbad > 0: - xbad = x[badpix] - ybad = y[badpix] - # Now show stuff that had larger errors - # note: must cast numpy floats to regular python floats to pass the remote interface - points_bad = [dict(type='squarebox', - args=(float(xbad[i]), float(ybad[i]), 0.7), - kwargs=dict(color='red', fill=True,fillalpha=0.5)) for i in range(nbad)] - canvas.add('constructedcanvas', points_bad) - # Now plot the polynomial fits to the the Gaussian weighted centroids + xgood = x[this_infit] + ygood = y[this_infit] + # note: must cast numpy floats to regular python floats to pass the remote interface + points_good = [dict(type='squarebox', + args=(float(xgood[i]), float(ygood[i]), 0.7), + kwargs=dict(color='cyan',fill=True, fillalpha=0.5)) for i in range(len(xgood))] + canvas_list += points_good + if np.any(this_notfit) and points: + xbad = x[this_notfit] + ybad = y[this_notfit] + # note: must cast numpy floats to regular python floats to pass the remote interface + points_bad = [dict(type='squarebox', + args=(float(xbad[i]), float(ybad[i]), 0.7), + kwargs=dict(color='red', fill=True,fillalpha=0.5)) for i in range(len(xbad))] + canvas_list += points_bad + # Now plot the polynomial fits to the Gaussian weighted centroids y = tilts_fit[:, iline] + yoff - points = list(zip(x[this_mask][::pstep].tolist(),y[this_mask][::pstep].tolist())) - if use_tilt[iline]: - clr = 'blue' # Good line - else: - clr = 'yellow' # Bad line - canvas.add('path', points, color=clr, linewidth=3) - - - canvas.add(str('text'), nspat//2 - 40, nspec//2, 'good tilt fit', color=str('blue'),fontsize=20.) - canvas.add(str('text'), nspat//2 - 40, nspec//2 - 30, 'bad tilt fit', color=str('yellow'),fontsize=20.) - canvas.add(str('text'), nspat//2 - 40, nspec//2 - 60, 'trace good', color=str('cyan'),fontsize=20.) - canvas.add(str('text'), nspat//2 - 40, nspec//2 - 90, 'trace masked', color=str('red'),fontsize=20.) + if np.any(this_fitrej): + canvas_list += [dict(type=str('path'), + args=(list(zip(x[this_fitrej][::pstep].tolist(), y[this_fitrej][::pstep].tolist())),), + kwargs=dict(color='magenta', linewidth=1))] + if np.any(this_fitkeep): + canvas_list += [dict(type=str('path'), + args=(list(zip(x[this_fitkeep][::pstep].tolist(), y[this_fitkeep][::pstep].tolist())),), + kwargs=dict(color='blue', linewidth=1))] + + # Add text + nspat = trc_tilt_dict[0]['nspat'] + nspec = trc_tilt_dict[0]['nspec'] + text_xpos = nspat//10 + text_ypos = [nspec//10 + 90, nspec//10 + 60, nspec//10 + 30, nspec//10] + text_color = ['blue', 'magenta', 'cyan', 'red'] + text_str = ['Good tilt fit', 'Rejected tilt fit', 'Good trace', 'Masked trace'] + canvas_list += [dict(type='text', args=(float(text_xpos), float(text_ypos[i]), str(text_str[i])), + kwargs=dict(color=text_color[i], fontsize=20)) for i in range(len(text_str))] + + canvas.add('constructedcanvas', canvas_list) + + + + diff --git a/pypeit/scripts/chk_tilts.py b/pypeit/scripts/chk_tilts.py new file mode 100644 index 0000000000..05bc897e72 --- /dev/null +++ b/pypeit/scripts/chk_tilts.py @@ -0,0 +1,41 @@ +""" +This script displays the Trace image and the traces in an RC Ginga window. + +.. include common links, assuming primary doc root is up one directory +.. include:: ../include/links.rst +""" + +import numpy as np +from pypeit.scripts import scriptbase +from IPython import embed + + +class ChkTilts(scriptbase.ScriptBase): + + @classmethod + def get_parser(cls, width=None): + parser = super().get_parser(description='Display Tilts image and traced tilts in Ginga viewer', + width=width) + + parser.add_argument('file', type=str, default=None, + help='PypeIt Tilts file [e.g. Tilt_A_1_01.fits]') + parser.add_argument('--tilts_image', type=str, default=None, + help='PypeIt Tiltimg file [e.g. Tiltimg_A_1_01.fits]. If not provided,' + 'PypeIt will attempt to load the file from the same directory as the Tilts file.') + parser.add_argument('--mpl', default=False, action='store_true', + help='Use a matplotlib window instead of ginga to show the tilts') + parser.add_argument('--try_old', default=False, action='store_true', + help='Attempt to load old datamodel versions. A crash may ensue..') + return parser + + @staticmethod + def main(pargs): + from pypeit import wavetilts + + # Load + tilts = wavetilts.WaveTilts.from_file(pargs.file, chk_version=(not pargs.try_old)) + tilts.show(tilt_img=pargs.tilts_image, in_ginga=np.logical_not(pargs.mpl)) + # embed() + + + diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index e0eb0c513f..9bd7548a7c 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -13,11 +13,17 @@ from matplotlib import pyplot as plt from astropy import stats, visualization +from astropy.stats import sigma_clipped_stats from pypeit import msgs, datamodel +from pypeit import utils +from pypeit import slittrace +from pypeit import wavecalib +from pypeit import masterframe from pypeit.display import display from pypeit.core import arc from pypeit.core import tracewave +from pypeit.images import buildimage from IPython import embed @@ -63,7 +69,7 @@ class WaveTilts(datamodel.DataContainer): 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage')} def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, - spat_flexure=None, PYP_SPEC=None): + spat_flexure=None, PYP_SPEC=None, trace_dict=None): # Parse args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -72,6 +78,7 @@ def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmti datamodel.DataContainer.__init__(self, d=d) def _init_internals(self): + self.filename = None # Master stuff self.master_key = None self.master_dir = None @@ -145,6 +152,56 @@ def spatid_to_zero(self, spat_id): mtch = self.spat_id == spat_id return np.where(mtch)[0][0] + def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga=True): + """ + """ + # master_key is different for Tilts and Slits sometimes + # Warning: This parses the filename, not the Header! + master_key, master_dir = masterframe.grab_key_mdir(self.filename, from_filename=True) + # embed() + if slits is None: + slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, master_key, + master_dir=master_dir) + if os.path.exists(slit_masterframe_name): + slits = slittrace.SlitTraceSet.from_file(slit_masterframe_name) + else: + msgs.warn('Could not load slits to show with tilts image.') + else: + left, right, mask = slits.select_edges() + gpm = mask == 0 + + if waveimg is None: + wave_masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, master_key, + master_dir = master_dir) + if os.path.exists(wave_masterframe_name) and slits is not None: + wv_calib = wavecalib.WaveCalib.from_file(wave_masterframe_name) + slitmask = slits.slit_img(initial=True, flexure=self.spat_flexure) + tilts = self.fit2tiltimg(slitmask, flexure=self.spat_flexure) + waveimg = wv_calib.build_waveimg(tilts, slits, spat_flexure=self.spat_flexure) + else: + msgs.warn('Could not load Wave image to show with tilts image.') + if tilt_img is None: + tiltimg_masterframe_name = masterframe.construct_file_name(buildimage.TiltImage, master_key, + master_dir=master_dir) + if os.path.exists(tiltimg_masterframe_name): + tilt_img_dict = buildimage.TiltImage.from_file(tiltimg_masterframe_name) + tilt_img = tilt_img_dict.image + else: + msgs.err('Tiltimg not found.') + + display.connect_to_ginga(raise_err=True, allow_new=True) + mean, med, sigma = sigma_clipped_stats(tilt_img, sigma_lower=5.0, sigma_upper=5.0) + cut_min = mean - 1.0 * sigma + cut_max = mean + 4.0 * sigma + if in_ginga: + viewer, ch = display.show_image(tilt_img, chname='Tilts', cuts=(cut_min, cut_max), + wcs_match=wcs_match, waveimg=waveimg, clear=True) + # display.show_tilts(viewer, ch, self.trace_dict) + if slits is not None: + display.show_slits(viewer, ch, left[:, gpm], right[:, gpm], slit_ids=slits.spat_id[gpm]) + else: + show_tilts_mpl(tilt_img, self.trace_dict, cut=(cut_min, cut_max)) + class BuildWaveTilts: """ @@ -652,9 +709,6 @@ def run(self, doqa=True, debug=False, show=False): # TODO: Show the traces before running the 2D fit - if show: - display.show_tilts(viewer, ch, self.trace_dict) - self.spat_order[slit_idx] = self._parse_param(self.par, 'spat_order', slit_idx) self.spec_order[slit_idx] = self._parse_param(self.par, 'spec_order', slit_idx) # 2D model of the tilts, includes construction of QA @@ -677,29 +731,12 @@ def run(self, doqa=True, debug=False, show=False): thismask_science = self.slitmask_science == slit_spat self.final_tilts[thismask_science] = self.tilts[thismask_science] + if show: + display.show_tilts(viewer, ch, self.all_trace_dict) + if debug: - # TODO: Add this to the show method? - vmin, vmax = visualization.ZScaleInterval().get_limits(_mstilt) - plt.imshow(_mstilt, origin='lower', interpolation='nearest', aspect='auto', - vmin=vmin, vmax=vmax) - for slit_idx, slit_spat in enumerate(self.slits.spat_id): - spat = self.all_trace_dict[slit_idx]['tilts_spat'] - spec = self.all_trace_dict[slit_idx]['tilts'] - spec_fit = self.all_trace_dict[slit_idx]['tilts_fit'] - in_fit = self.all_trace_dict[slit_idx]['tot_mask'] - not_fit = np.invert(in_fit) & (spec > 0) - fit_rej = in_fit & np.invert(self.all_trace_dict[slit_idx]['fit_mask']) - fit_keep = in_fit & self.all_trace_dict[slit_idx]['fit_mask'] - plt.scatter(spat[not_fit], spec[not_fit], color='C1', marker='.', s=30, lw=0) - plt.scatter(spat[fit_rej], spec[fit_rej], color='C3', marker='.', s=30, lw=0) - plt.scatter(spat[fit_keep], spec[fit_keep], color='k', marker='.', s=30, lw=0) - with_fit = np.invert(np.all(np.invert(fit_keep), axis=0)) - for t in range(in_fit.shape[1]): - if not with_fit[t]: - continue - l, r = np.nonzero(in_fit[:,t])[0][[0,-1]] - plt.plot(spat[l:r+1,t], spec_fit[l:r+1,t], color='k') - plt.show() + show_tilts_mpl(_mstilt, self.all_trace_dict) + # Record the Mask bpmtilts = np.zeros_like(self.slits.mask, dtype=self.slits.bitmask.minimum_dtype()) @@ -707,7 +744,7 @@ def run(self, doqa=True, debug=False, show=False): bpm = self.slits.bitmask.flagged(self.slits.mask, flag) if np.any(bpm): bpmtilts[bpm] = self.slits.bitmask.turn_on(bpmtilts[bpm], flag) - + embed() # Build and return DataContainer tilts_dict = {'coeffs':self.coeffs, 'func2d':self.par['func2d'], 'nslit':self.slits.nslits, @@ -749,3 +786,47 @@ def __repr__(self): txt += '>' return txt + +def show_tilts_mpl(tilt_img, trace_dict, cut=None): + """Show the tilts image with the traces overlaid + + Args: + tilt_img (np.ndarray): + Tilts image + trace_dict (dict): + Dictionary containing the trace data + cut (tuple, optional): + Lower and upper levels cut for the image display + """ + + if cut is None: + cut = utils.growth_lim(tilt_img, 0.95, fac=1.05) + + plt.imshow(tilt_img, origin='lower', interpolation='nearest', aspect='auto', + vmin=cut[0], vmax=cut[1]) + for tdict in trace_dict: + spat = tdict['tilts_spat'] + spec = tdict['tilts'] + spec_fit = tdict['tilt_2dfit'] + in_fit = tdict['tot_mask'] + not_fit = np.invert(in_fit) & (spec > 0) + fit_rej = in_fit & np.invert(tdict['fit_mask']) + fit_keep = in_fit & tdict['fit_mask'] + plt.scatter(spat[not_fit], spec[not_fit], color='red', marker='.', s=30, lw=0) + plt.scatter(spat[fit_rej], spec[fit_rej], color='magenta', marker='.', s=30, lw=0) + plt.scatter(spat[fit_keep], spec[fit_keep], color='cyan', marker='.', s=30, lw=0) + with_fit = np.invert(np.all(np.invert(fit_keep), axis=0)) + for t in range(in_fit.shape[1]): + if not with_fit[t]: + continue + l, r = np.nonzero(in_fit[:, t])[0][[0, -1]] + plt.plot(spat[l:r + 1, t], spec_fit[l:r + 1, t], color='blue', linewidth=1) + plt.text(0.02, 0.05, 'Masked trace', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='red') + plt.text(0.02, 0.08, 'Rejected in fit', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='magenta') + plt.text(0.02, 0.11, 'Good trace', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='cyan') + plt.text(0.02, 0.14, 'Good tilt fit', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='blue') + plt.ylabel('Spectral pixel index') + plt.xlabel('Spatial pixel index') + plt.tight_layout() + plt.show() + diff --git a/setup.cfg b/setup.cfg index 2f8362332c..edf34cc057 100644 --- a/setup.cfg +++ b/setup.cfg @@ -140,7 +140,7 @@ console_scripts = pypeit_chk_alignments = pypeit.scripts.chk_alignments:ChkAlignments.entry_point pypeit_chk_edges = pypeit.scripts.chk_edges:ChkEdges.entry_point pypeit_chk_flats = pypeit.scripts.chk_flats:ChkFlats.entry_point - # pypeit_chk_tilts = pypeit.scripts.chk_tilts:entry_point + pypeit_chk_tilts = pypeit.scripts.chk_tilts:ChkTilts.entry_point pypeit_chk_wavecalib = pypeit.scripts.chk_wavecalib:ChkWaveCalib.entry_point pypeit_compare_sky = pypeit.scripts.compare_sky:CompareSky.entry_point pypeit_identify = pypeit.scripts.identify:Identify.entry_point From f32a240543e441b832812f695aaf4c9279604f91 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 9 Apr 2023 20:27:52 +0100 Subject: [PATCH 202/308] QA --- pypeit/flatfield.py | 93 +++++++++++++++++++++++++-------------------- 1 file changed, 52 insertions(+), 41 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 2887cf05a8..9a02e4dea7 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -565,37 +565,39 @@ def run(self, doqa=False, debug=False, show=False): rawflat_orig = self.rawflatimg.image.copy() # TODO: Should this be *any* flag, or just BPM? gpm = self.rawflatimg.select_flag(flag='BPM', invert=True) - niter = 2 # Need two iterations, particularly for the fine spatial illumination correction. - det_resp_model = 1 # Default value that doesn't change anything - for ff in range(niter): - # Just get the spatial and spectral profiles for now - self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) - # If we're only doing the spatial illumination profile, the detector structure - # has already been divided out by the pixel flat. - if self.spat_illum_only: - break - msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) - # Extract a detector response image - det_resp = self.extract_structure(rawflat_orig) - gpmask = (self.waveimg != 0.0) & gpm - # Model the 2D detector response in an instrument specific way - det_resp_model = self.spectrograph.fit_2d_det_response(det_resp, gpmask) - # Apply this model - self.rawflatimg.image = rawflat_orig * utils.inverse(det_resp_model) - if doqa: - # TODO :: Probably need to pass in det eventually... - outfile = qa.set_qa_filename("DetectorStructure_" + self.master_key, 'detector_structure', - det="DET01", out_dir=self.qa_path) - detector_structure_qa(det_resp, det_resp_model, outfile=outfile) - # Now that the detector structure is modelled, include it in the full model + # Just get the spatial and spectral profiles for now + self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) + # If we're only doing the spatial illumination profile, the detector structure + # has already been divided out by the pixel flat. No need to calculate structure if not self.spat_illum_only: - # Perform a final 2D fit with the cleaned image - self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) - self.flat_model *= det_resp_model + niter = 2 # Need two iterations, particularly for the fine spatial illumination correction. + det_resp_model = 1 # Initialise detector structure to a value of 1 (i.e. no detector structure) + for ff in range(niter): + # If we're only doing the spatial illumination profile, the detector structure + # has already been divided out by the pixel flat. + if self.spat_illum_only: + break + msgs.info("Iteration {0:d} of 2D detector response extraction".format(ff+1)) + # Extract a detector response image + det_resp = self.extract_structure(rawflat_orig) + gpmask = (self.waveimg != 0.0) & gpm + # Model the 2D detector response in an instrument specific way + det_resp_model = self.spectrograph.fit_2d_det_response(det_resp, gpmask) + # Apply this model + self.rawflatimg.image = rawflat_orig * utils.inverse(det_resp_model) + if doqa: + # TODO :: Probably need to pass in det when more spectrographs implement a structure correction... + outfile = qa.set_qa_filename("DetectorStructure_" + self.master_key, 'detector_structure', + det="DET01", out_dir=self.qa_path) + detector_structure_qa(det_resp, det_resp_model, outfile=outfile) + # Perform a 2D fit with the cleaned image + self.fit(spat_illum_only=self.spat_illum_only, doqa=doqa, debug=debug) + # Include the structure in the flat model and the pixelflat self.mspixelflat *= det_resp_model - # fold in the spectrograph specific flatfield, and reset the rawimg - self.rawflatimg.image = rawflat_orig + # Reset the rawimg + self.rawflatimg.image = rawflat_orig + # Show the flatfield images if requested if show: self.show(wcs_match=True) @@ -1667,34 +1669,43 @@ def detector_structure_qa(det_resp, det_resp_model, outfile=None, title="Detecto plt.rcdefaults() plt.rcParams['font.family'] = 'serif' msgs.info("Generating QA for flat field structure correction") - vmin, vmax = np.min(det_resp_model), np.max(det_resp_model) + med = np.median(det_resp) + mad = 1.4826*np.median(np.abs(det_resp-med)) + vmin, vmax = med-2*mad, med+2*mad + #vmin, vmax = np.min(det_resp_model), np.max(det_resp_model) # Plot - fighght = 8.5 - plt.figure(figsize=(3*fighght, fighght)) + fig_height = 3.0 + plt.figure(figsize=(3*fig_height, fig_height)) plt.clf() - # Single panel plot - gs = gridspec.GridSpec(1, 3) + # Prepare axes + gs = gridspec.GridSpec(1, 4, height_ratios=[1], width_ratios=[1.0, 1.0, 1.0, 0.05]) + # Axes showing the observed detector response ax_data = plt.subplot(gs[0]) ax_data.imshow(det_resp, vmin=vmin, vmax=vmax) ax_data.set_xlabel("data", fontsize='medium') - ax_data.axis('off') + ax_data.axes.xaxis.set_ticks([]) + ax_data.axes.yaxis.set_ticks([]) + # Axes showing the model fit to the detector response ax_modl = plt.subplot(gs[1]) - ax_modl.imshow(det_resp_model, vmin=vmin, vmax=vmax) + im = ax_modl.imshow(det_resp_model, vmin=vmin, vmax=vmax) ax_modl.set_title(title, fontsize='medium') ax_modl.set_xlabel("model", fontsize='medium') - ax_modl.axis('off') + ax_modl.axes.xaxis.set_ticks([]) + ax_modl.axes.yaxis.set_ticks([]) + # Axes showing the residual of the detector response fit ax_resd = plt.subplot(gs[2]) ax_resd.imshow(det_resp-det_resp_model, vmin=vmin-1, vmax=vmax-1) ax_resd.set_xlabel("data-model", fontsize='medium') - ax_resd.axis('off') + ax_resd.axes.xaxis.set_ticks([]) + ax_resd.axes.yaxis.set_ticks([]) # Add a colorbar - # cax = plt.subplot(gs[4]) - # cbar = plt.colorbar(im, cax=cax) # , fraction=0.046, pad=0.04) - # cbar.set_label('Percentage deviation', rotation=270, labelpad=10) + cax = plt.subplot(gs[3]) + cbar = plt.colorbar(im, cax=cax) # , fraction=0.046, pad=0.04) + cbar.set_label('Deviation', rotation=270, labelpad=10) # Finish plt.tight_layout(pad=0.2, h_pad=0.0, w_pad=0.0) - plt.subplots_adjust(wspace=0.03, hspace=0, left=0.12, right=0.9, bottom=0.05, top=0.94) + plt.subplots_adjust(wspace=0.03, hspace=0, left=0.05, right=0.9, bottom=0.1, top=0.9) if outfile is None: plt.show() else: From cefa5006f7536fae087ec49f6af98a46e7ff5138 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 9 Apr 2023 20:30:18 +0100 Subject: [PATCH 203/308] QA --- pypeit/flatfield.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 9a02e4dea7..572a5bf165 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -1669,10 +1669,12 @@ def detector_structure_qa(det_resp, det_resp_model, outfile=None, title="Detecto plt.rcdefaults() plt.rcParams['font.family'] = 'serif' msgs.info("Generating QA for flat field structure correction") - med = np.median(det_resp) - mad = 1.4826*np.median(np.abs(det_resp-med)) - vmin, vmax = med-2*mad, med+2*mad - #vmin, vmax = np.min(det_resp_model), np.max(det_resp_model) + # Calculate the scale to be used in the plot + # med = np.median(det_resp) + # mad = 1.4826*np.median(np.abs(det_resp-med)) + # vmin, vmax = med-2*mad, med+2*mad + dev = (1-np.min(det_resp_model)) + vmin, vmax = 1-2*dev, 1+2*dev # Plot fig_height = 3.0 From cd97dd57692b14fe8de0891c3163b0c05a663ab7 Mon Sep 17 00:00:00 2001 From: deborape Date: Sun, 9 Apr 2023 16:48:42 -0700 Subject: [PATCH 204/308] not there yet --- pypeit/wavetilts.py | 22 ++++++++++++++-------- 1 file changed, 14 insertions(+), 8 deletions(-) diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 9bd7548a7c..84c9719e3a 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -14,6 +14,7 @@ from astropy import stats, visualization from astropy.stats import sigma_clipped_stats +from astropy import table from pypeit import msgs, datamodel from pypeit import utils @@ -66,10 +67,13 @@ class WaveTilts(datamodel.DataContainer): descr='Order for spectral fit (nslit)'), 'func2d': dict(otype=str, descr='Function used for the 2D fit'), 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), - 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage')} + 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage'), + 'trace_dict_list': dict(otype=np.ndarray, descr='List of trace_dict objects for each slit. ' + 'trace_dict is a dictionary with the positions ' + 'of the traced and fitted tilts.')} def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, - spat_flexure=None, PYP_SPEC=None, trace_dict=None): + spat_flexure=None, PYP_SPEC=None, trace_dict_list=None): # Parse args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -158,7 +162,6 @@ def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga # master_key is different for Tilts and Slits sometimes # Warning: This parses the filename, not the Header! master_key, master_dir = masterframe.grab_key_mdir(self.filename, from_filename=True) - # embed() if slits is None: slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, master_key, master_dir=master_dir) @@ -172,7 +175,7 @@ def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga if waveimg is None: wave_masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, master_key, - master_dir = master_dir) + master_dir=master_dir) if os.path.exists(wave_masterframe_name) and slits is not None: wv_calib = wavecalib.WaveCalib.from_file(wave_masterframe_name) slitmask = slits.slit_img(initial=True, flexure=self.spat_flexure) @@ -737,20 +740,20 @@ def run(self, doqa=True, debug=False, show=False): if debug: show_tilts_mpl(_mstilt, self.all_trace_dict) - # Record the Mask bpmtilts = np.zeros_like(self.slits.mask, dtype=self.slits.bitmask.minimum_dtype()) for flag in ['BADTILTCALIB']: bpm = self.slits.bitmask.flagged(self.slits.mask, flag) if np.any(bpm): bpmtilts[bpm] = self.slits.bitmask.turn_on(bpmtilts[bpm], flag) - embed() + # Build and return DataContainer tilts_dict = {'coeffs':self.coeffs, 'func2d':self.par['func2d'], 'nslit':self.slits.nslits, 'spat_order':self.spat_order, 'spec_order':self.spec_order, 'spat_id':self.slits.spat_id, 'bpmtilts': bpmtilts, - 'spat_flexure': self.spat_flexure, 'PYP_SPEC': self.spectrograph.name} + 'spat_flexure': self.spat_flexure, 'PYP_SPEC': self.spectrograph.name, + 'trace_dict_list': np.array(self.all_trace_dict)} return WaveTilts(**tilts_dict) def _parse_param(self, par, key, slit): @@ -802,6 +805,9 @@ def show_tilts_mpl(tilt_img, trace_dict, cut=None): if cut is None: cut = utils.growth_lim(tilt_img, 0.95, fac=1.05) + w, h = plt.figaspect(1) + fig = plt.figure(figsize=(1.5 * w, 1.5 * h)) + plt.imshow(tilt_img, origin='lower', interpolation='nearest', aspect='auto', vmin=cut[0], vmax=cut[1]) for tdict in trace_dict: @@ -827,6 +833,6 @@ def show_tilts_mpl(tilt_img, trace_dict, cut=None): plt.text(0.02, 0.14, 'Good tilt fit', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='blue') plt.ylabel('Spectral pixel index') plt.xlabel('Spatial pixel index') - plt.tight_layout() + fig.tight_layout() plt.show() From 26cf0d053765ed04db08911bb6e65514d0fe02ba Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 10 Apr 2023 16:49:14 +0100 Subject: [PATCH 205/308] revert DC --- pypeit/core/datacube.py | 132 ++++++---------------------------------- 1 file changed, 20 insertions(+), 112 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index a08889ebd9..996d2d5286 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1,6 +1,5 @@ """ Module containing routines used by 3D datacubes. - .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ @@ -17,7 +16,7 @@ import numpy as np from pypeit import msgs -from pypeit import alignframe, data, datamodel, flatfield, io, masterframe, specobj, spec2dobj, utils, wavecalib +from pypeit import alignframe, datamodel, flatfield, io, masterframe, specobj, spec2dobj, utils from pypeit.core.flux_calib import load_extinction_data, extinction_correction, fit_zeropoint, get_standard_spectrum, ZP_UNIT_CONST, PYPEIT_FLUX_SCALE from pypeit.core.flexure import calculate_image_phase from pypeit.core import coadd, extract, findobj_skymask, parse, skysub @@ -63,7 +62,6 @@ class DataCube(datamodel.DataContainer): Parsed meta from the header spectrograph (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): Build from PYP_SPEC - """ version = '1.1.0' @@ -94,7 +92,6 @@ def _bundle(self): """ Over-write default _bundle() method to separate the DetectorContainer into its own HDU - Returns: :obj:`list`: A list of dictionaries, each list element is written to its own fits extension. See the description @@ -214,8 +211,8 @@ def dar_fitfunc(radec, coord_ra, coord_dec, datfit, wave, obstime, location, pre return np.sum((np.array([coord_altaz.alt.value, coord_altaz.az.value])-datfit)**2) -def correct_dar(wave_arr, coord, obstime, location, pressure, temperature, rel_humidity, - wave_ref=None, numgrid=10): +def dar_correction(wave_arr, coord, obstime, location, pressure, temperature, rel_humidity, + wave_ref=None, numgrid=10): """ Apply a differental atmospheric refraction correction to the input ra/dec. @@ -288,7 +285,7 @@ def correct_dar(wave_arr, coord, obstime, location, pressure, temperature, rel_h return ra_diff, dec_diff -def correct_grating_shift(wave_eval, wave_curr, spl_curr, wave_ref, spl_ref, order=2): +def calc_grating_corr(wave_eval, wave_curr, spl_curr, wave_ref, spl_ref, order=2): """ Using spline representations of the blaze profile, calculate the grating correction that should be applied to the current spectrum (suffix 'curr') relative to the reference spectrum (suffix 'ref'). The grating correction is then evaluated at the wavelength @@ -325,20 +322,6 @@ def correct_grating_shift(wave_eval, wave_curr, spl_curr, wave_ref, spl_ref, ord return grat_corr -def correct_spec_flexure(waveimg): - """ Shift the wavelength image - - Args: - waveimg (`numpy.ndarray`_): - A 2D array containing the wavelength of each detector pixel - - Returns: - waveimg_corr (`numpy.ndarray`_): The wavelength image, corrected for spectral flexure - """ - - return waveimg_corr - - def gaussian2D_cube(tup, intflux, xo, yo, dxdz, dydz, sigma_x, sigma_y, theta, offset): """ Fit a 2D Gaussian function to a datacube. This function assumes that each wavelength slice of the datacube is well-fit by a 2D Gaussian. The centre of the Gaussian is allowed @@ -1295,7 +1278,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): cubepar = parset['reduce']['cube'] flatpar = parset['calibrations']['flatfield'] senspar = parset['sensfunc'] - flexpar = parset['flexure'] # prep numfiles = len(files) @@ -1368,7 +1350,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): blaze_spline = interp1d(blaze_wave, blaze_spec, kind='linear', bounds_error=False, fill_value="extrapolate") # Perform a grating correction - grat_corr = correct_grating_shift(wave.value, blaze_wave_curr, blaze_spline_curr, blaze_wave, blaze_spline) + grat_corr = calc_grating_corr(wave.value, blaze_wave_curr, blaze_spline_curr, blaze_wave, blaze_spline) # Apply the grating correction to the standard star spectrum Nlam_star /= grat_corr Nlam_ivar_star *= grat_corr**2 @@ -1443,7 +1425,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Load it up spec2DObj = spec2dobj.Spec2DObj.from_file(fil, detname) detector = spec2DObj.detector - spat_flexure = None #spec2DObj.sci_spat_flexure + flexure = None #spec2DObj.sci_spat_flexure # Load the header hdr = fits.open(fil)[0].header @@ -1454,22 +1436,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Setup for PypeIt imports msgs.reset(verbosity=2) - # TODO :: Consider loading all calibrations into a single variable. - - # Initialise the slit edges - msgs.info("Constructing slit image") - slits = spec2DObj.slits - slitid_img_init = slits.slit_img(pad=0, initial=True, flexure=spat_flexure) - slits_left, slits_right, _ = slits.select_edges(initial=True, flexure=spat_flexure) - - # Load the wavelength calibration - masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, hdr['TRACMKEY'], master_dir=hdr['PYPMFDIR']) - if os.path.isfile(masterframe_name): - wv_calib = wavecalib.WaveCalib.from_file(masterframe_name) - else: - # TODO :: Need to think about what to do about this... - msgs.error("NEED TO THINK ABOUT THIS") - # Try to load the relative scale image, if something other than the default has been provided relScaleImg = relScaleImgDef.copy() if opts['scale_corr'][ff] is not None: @@ -1525,74 +1491,13 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): relscl = 1.0 if cubepar['scale_corr'] is not None or opts['scale_corr'][ff] is not None: relscl = spec2DObj.scaleimg/relScaleImg - # TODO :: unset this debug here - debug = True sciimg = (spec2DObj.sciimg-skysubImg)*relscl # Subtract sky - if debug: - sciimg = spec2DObj.sciimg * relscl # Subtract sky ivar = spec2DObj.ivarraw / relscl**2 waveimg = spec2DObj.waveimg bpmmask = spec2DObj.bpmmask - # TODO :: Really need to write some detailed information in the docs about all of the various corrections that can optionally be applied - - # Correct for spectral flexure using the skysub frame - # TODO :: Need to include the spectral flexure correction here. - embed() - ####################################################################### - from pypeit.core import flexure - from pypeit.core.wavecal import autoid - from linetools.spectra import xspectrum1d - - # Obtain a reference spectrum - sl_ref = flatpar['slit_illum_ref_idx'] - # Calculate the absolute spectral flexure correction for the reference slit - trace_spat = 0.5 * (slits_left + slits_right) - sky_spectrum = data.load_sky_spectrum(flexpar['spectrum']) - # get arxiv sky spectrum resolution (FWHM in pixels) - sky_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) - # get spectral FWHM (in Angstrom) if available - ref_fwhm_ang, ref_fwhm_pix = None, None - iwv = np.where(wv_calib.spat_ids == slits.spat_id[sl_ref])[0][0] - # Allow for wavelength failures - if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: - ref_fwhm_pix = wv_calib.wv_fits[iwv].fwhm - # Get an object spectrum - thismask = (slitid_img_init == slits.spat_id[sl_ref]) - # Dummy spec for extract_boxcar - ref_skyspec = flexure.get_sky_spectrum(sciimg, ivar, waveimg, thismask, skysubImg, - parset['reduce']['extraction']['boxcar_radius'], - slits, trace_spat[:, sl_ref], hdr['PYPELINE'], det) - # Calculate the flexure - flex_dict = flexure.spec_flex_shift(ref_skyspec, sky_spectrum, sky_fwhm_pix, spec_fwhm_pix=ref_fwhm_pix, - mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], - method="slitcen") - # This absolute shift is the same for all slits - slitshift = np.ones(slits.nslits) * flex_dict['shift'] - # Now loop through all slits to calculate the additional shift relative to the reference slit - for slit_idx, slit_spat in enumerate(slits.spat_id): - thismask = (slitid_img_init == slit_spat) - # Dummy spec for extract_boxcar - this_skyspec = flexure.get_sky_spectrum(sciimg, ivar, waveimg, thismask, skysubImg, - parset['reduce']['extraction']['boxcar_radius'], - slits, trace_spat[:, slit_idx], hdr['PYPELINE'], det) - # Calculate the flexure - flex_dict = flexure.spec_flex_shift(this_skyspec, ref_skyspec, ref_fwhm_pix*1.01, spec_fwhm_pix=ref_fwhm_pix, - mxshft=flexpar['spec_maxshift'], excess_shft=flexpar['excessive_shift'], - method="slitcen") - - # Calculate the shift - fdict = spec_flex_shift(slit_specs[slit_idx], sky_spectrum, arx_fwhm_pix, mxshft=mxshft, excess_shft=excess_shft, - spec_fwhm=spec_fwhm, method=method) - slitshift[slit_idx] += 0.0 - # Rebuild the wavelength image - waveimg_corr = wv_calib.build_waveimg(self.tilts, slits, spec_flexure=slitshift, - spat_flexure=spat_flexure) - # Apply heliocentric correction - - return waveimg_corr - ####################################################################### - waveimg = correct_spec_flexure(waveimg) + # Grab the slit edges + slits = spec2DObj.slits wave0 = waveimg[waveimg != 0.0].min() # Calculate the delta wave in every pixel on the slit @@ -1612,6 +1517,9 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Using wavelength solution: wave0={0:.3f}, dispersion={1:.3f} Angstrom/pixel".format(wave0, dwv)) + msgs.info("Constructing slit image") + slitid_img_init = slits.slit_img(pad=0, initial=True, flexure=flexure) + # Obtain the minimum and maximum wavelength of all slits if mnmx_wv is None: mnmx_wv = np.zeros((1, slits.nslits, 2)) @@ -1660,7 +1568,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Astrometric correction will not be performed") # If nothing better was provided, use the slit edges if alignments is None: - left, right, _ = slits.select_edges(initial=True, flexure=spat_flexure) + left, right, _ = slits.select_edges(initial=True, flexure=flexure) locations = [0.0, 1.0] traces = np.append(left[:,None,:], right[:,None,:], axis=1) else: @@ -1669,7 +1577,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Generating RA/DEC image") alignSplines = alignframe.AlignmentSplines(traces, locations, spec2DObj.tilts) raimg, decimg, minmax = slits.get_radec_image(frame_wcs, alignSplines, spec2DObj.tilts, - initial=True, flexure=spat_flexure) + initial=True, flexure=flexure) # Perform the DAR correction if wave_ref is None: @@ -1690,8 +1598,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): " Pressure = {0:f} bar".format(pressure) + msgs.newline() + " Temperature = {0:f} deg C".format(temperature) + msgs.newline() + " Humidity = {0:f}".format(rel_humidity)) - ra_corr, dec_corr = correct_dar(waveimg[onslit_gpm], coord, obstime, location, - pressure * units.bar, temperature * units.deg_C, rel_humidity, wave_ref=wave_ref) + ra_corr, dec_corr = dar_correction(waveimg[onslit_gpm], coord, obstime, location, + pressure*units.bar, temperature*units.deg_C, rel_humidity, wave_ref=wave_ref) raimg[onslit_gpm] += ra_corr*np.cos(np.mean(decimg[onslit_gpm]) * np.pi / 180.0) decimg[onslit_gpm] += dec_corr @@ -1708,11 +1616,11 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Calculating relative sensitivity for grating correction") flatimages = flatfield.FlatImages.from_file(flatfile) flatframe = flatimages.illumflat_raw/flatimages.fit2illumflat(slits, frametype='illum', initial=True, - spat_flexure=spat_flexure) + spat_flexure=flexure) # Calculate the relative scale scale_model = flatfield.illum_profile_spectral(flatframe, waveimg, slits, slit_illum_ref_idx=flatpar['slit_illum_ref_idx'], model=None, - skymask=None, trim=flatpar['slit_trim'], flexure=spat_flexure, + skymask=None, trim=flatpar['slit_trim'], flexure=flexure, smooth_npix=flatpar['slit_illum_smooth_npix']) # Apply the relative scale and generate a 1D "spectrum" onslit = waveimg != 0 @@ -1745,8 +1653,8 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): # Grating correction grat_corr = 1.0 if cubepar['grating_corr']: - grat_corr = correct_grating_shift(wave_ext[wvsrt], flat_splines[flatfile + "_wave"], flat_splines[flatfile], - blaze_wave, blaze_spline) + grat_corr = calc_grating_corr(wave_ext[wvsrt], flat_splines[flatfile+"_wave"], flat_splines[flatfile], + blaze_wave, blaze_spline) # Sensitivity function sens_func = 1.0 if fluxcal: @@ -1967,4 +1875,4 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Generating data cube") generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, sensfunc=sensfunc, fluxcal=fluxcal, - specname=specname) + specname=specname) \ No newline at end of file From 39f89d75be8e5b8da900f983d905ed3d2fa946e3 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 10 Apr 2023 16:50:58 +0100 Subject: [PATCH 206/308] revert DC --- pypeit/core/datacube.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index 996d2d5286..f4a21f9baa 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1,5 +1,6 @@ """ Module containing routines used by 3D datacubes. + .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ @@ -62,6 +63,7 @@ class DataCube(datamodel.DataContainer): Parsed meta from the header spectrograph (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): Build from PYP_SPEC + """ version = '1.1.0' @@ -92,6 +94,7 @@ def _bundle(self): """ Over-write default _bundle() method to separate the DetectorContainer into its own HDU + Returns: :obj:`list`: A list of dictionaries, each list element is written to its own fits extension. See the description @@ -1875,4 +1878,4 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Generating data cube") generate_cube_ngp(outfile, hdr, all_sci, all_ivar, all_wghts, pix_coord, bins, overwrite=overwrite, blaze_wave=blaze_wave, blaze_spec=blaze_spec, sensfunc=sensfunc, fluxcal=fluxcal, - specname=specname) \ No newline at end of file + specname=specname) From ba40a392962a4c050700dd94d70b2d011a7c77f9 Mon Sep 17 00:00:00 2001 From: rcooke Date: Mon, 10 Apr 2023 16:54:31 +0100 Subject: [PATCH 207/308] rm debug --- pypeit/spectrographs/keck_kcwi.py | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 5398f9847d..8e73bf3454 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -985,16 +985,4 @@ def sinfunc2d(x, amp, scl, phase, wavelength, angle): phase, angle = 0.0, -45.34 # No phase, and a decent guess at the angle p0 = [amp, scale, phase, wavelength, angle] popt, pcov = curve_fit(sinfunc2d, (xx[gpmask], yy[gpmask]), det_resp[gpmask], p0=p0) - # TODO :: REMOVE THIS CODE BEFORE MERGING THE PR!! - debug = False - if debug: - embed() - mmm = sinfunc2d((xx, yy), *popt) - plt.subplot(131) - plt.imshow(det_resp, vmin=np.min(mmm), vmax=np.max(mmm)) - plt.subplot(132) - plt.imshow(mmm, vmin=np.min(mmm), vmax=np.max(mmm)) - plt.subplot(133) - plt.imshow(det_resp - mmm, vmin=np.min(mmm - 1), vmax=np.max(mmm - 1)) - plt.show() return sinfunc2d((xx, yy), *popt) From cd9671978068ad35b1fae14cadc152d8dce1ae98 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 10 Apr 2023 13:49:05 -0700 Subject: [PATCH 208/308] Propagate the `raw_header_cards()` method Instead of just being handy, the `raw_header_cards()` method to the Spectrograph class is actually necessary for all spectrographs that have a `config_specific_par()` method that uses PypeIt metadata keys. This commit adds that necessary method to all classes, and does some slight reordering of the methods in some classes to keep these 4 methods in the same order: `init_meta()`, `compund_meta()`, `configuration_keys()`, and `raw_header_cards()`. The reason for this is to easily find the necessary raw FITS keywords that correspond to the needed PypeIt keys. --- pypeit/scripts/sensfunc.py | 10 +- pypeit/spectrographs/bok_bc.py | 52 +++++-- pypeit/spectrographs/gemini_gmos.py | 52 +++++-- pypeit/spectrographs/gemini_gnirs.py | 20 +++ pypeit/spectrographs/gtc_osiris.py | 40 +++++ pypeit/spectrographs/keck_deimos.py | 20 +++ pypeit/spectrographs/keck_hires.py | 19 +++ pypeit/spectrographs/keck_kcwi.py | 186 +++++++++++++----------- pypeit/spectrographs/keck_lris.py | 41 +++++- pypeit/spectrographs/keck_mosfire.py | 20 +++ pypeit/spectrographs/keck_nires.py | 20 +++ pypeit/spectrographs/keck_nirspec.py | 20 +++ pypeit/spectrographs/lbt_luci.py | 20 +++ pypeit/spectrographs/lbt_mods.py | 20 +++ pypeit/spectrographs/ldt_deveny.py | 52 +++++-- pypeit/spectrographs/mdm_osmos.py | 20 +++ pypeit/spectrographs/mmt_binospec.py | 52 +++++-- pypeit/spectrographs/mmt_bluechannel.py | 52 +++++-- pypeit/spectrographs/mmt_mmirs.py | 20 +++ pypeit/spectrographs/not_alfosc.py | 20 +++ pypeit/spectrographs/ntt_efosc2.py | 55 +++++-- pypeit/spectrographs/p200_dbsp.py | 52 +++++-- pypeit/spectrographs/p200_tspec.py | 52 +++++-- pypeit/spectrographs/shane_kast.py | 98 ++++++++++--- pypeit/spectrographs/soar_goodman.py | 52 +++++-- pypeit/spectrographs/spectrograph.py | 32 ++-- pypeit/spectrographs/tng_dolores.py | 21 ++- pypeit/spectrographs/vlt_fors.py | 21 ++- pypeit/spectrographs/vlt_sinfoni.py | 21 +++ pypeit/spectrographs/vlt_xshooter.py | 20 +++ pypeit/spectrographs/wht_isis.py | 52 +++++-- 31 files changed, 948 insertions(+), 284 deletions(-) diff --git a/pypeit/scripts/sensfunc.py b/pypeit/scripts/sensfunc.py index 9974aa1c7f..9d881d6b65 100644 --- a/pypeit/scripts/sensfunc.py +++ b/pypeit/scripts/sensfunc.py @@ -104,9 +104,9 @@ def main(args): "\n") # Determine the spectrograph - header = fits.getheader(args.spec1dfile) - spectrograph = load_spectrograph(header['PYP_SPEC']) - spectrograph_config_par = spectrograph.config_specific_par(header) + hdul = io.fits_open(args.spec1dfile) + spectrograph = load_spectrograph(hdul[0].header['PYP_SPEC']) + spectrograph_config_par = spectrograph.config_specific_par(hdul) # Construct a primary FITS header that includes the spectrograph's # config keys for inclusion in the output sensfunc file @@ -116,8 +116,8 @@ def main(args): + spectrograph.configuration_keys() + spectrograph.raw_header_cards() ) for key in add_keys: - if key.upper() in header.keys(): - primary_hdr[key.upper()] = header[key.upper()] + if key.upper() in hdul[0].header.keys(): + primary_hdr[key.upper()] = hdul[0].header[key.upper()] # If the .sens file was passed in read it and overwrite default parameters diff --git a/pypeit/spectrographs/bok_bc.py b/pypeit/spectrographs/bok_bc.py index 2fdac75e55..d35dedcacb 100644 --- a/pypeit/spectrographs/bok_bc.py +++ b/pypeit/spectrographs/bok_bc.py @@ -29,22 +29,6 @@ class BokBCSpectrograph(spectrograph.Spectrograph): header_name = 'Bok B&C spectrometer' supported = True - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'decker', 'binning', 'dispangle'] - def init_meta(self): """ Define how metadata are derived from the spectrograph files. @@ -109,6 +93,42 @@ def compound_meta(self, headarr, meta_key): return 'off' msgs.error("Not ready for this compound meta") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'decker', 'binning', 'dispangle'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['DISPERSE', 'APERTURE', 'CCDBIN1', 'CCDBIN2', 'TILTPOS'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/gemini_gmos.py b/pypeit/spectrographs/gemini_gmos.py index 2f0d4cb009..ed6e1fbfed 100644 --- a/pypeit/spectrographs/gemini_gmos.py +++ b/pypeit/spectrographs/gemini_gmos.py @@ -154,6 +154,42 @@ def compound_meta(self, headarr, meta_key): msgs.error('Binning not found') return binning + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return super().configuration_keys() + ['dispangle', 'datasec'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATING', 'FILTER1', 'MASKNAME', 'CENTWAVE', 'CCDSUM', 'OBSEPOCH', 'NODPIX'] + def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. @@ -273,22 +309,6 @@ def config_specific_par(self, scifile, inp_par=None): return par - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return super().configuration_keys() + ['dispangle', 'datasec'] - def hdu_read_order(self): """ Return the order in which to read HDU extensions for this instrument. diff --git a/pypeit/spectrographs/gemini_gnirs.py b/pypeit/spectrographs/gemini_gnirs.py index 1576376488..556da625d7 100644 --- a/pypeit/spectrographs/gemini_gnirs.py +++ b/pypeit/spectrographs/gemini_gnirs.py @@ -274,6 +274,26 @@ def configuration_keys(self): """ return ['decker', 'dispname', 'dispangle'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['SLIT', 'GRATING', 'GRATTILT'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/gtc_osiris.py b/pypeit/spectrographs/gtc_osiris.py index bf47b242ac..ea7cc5f099 100644 --- a/pypeit/spectrographs/gtc_osiris.py +++ b/pypeit/spectrographs/gtc_osiris.py @@ -218,6 +218,26 @@ def configuration_keys(self): """ return ['dispname', 'decker', 'binning'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRISM', 'MASKNAME', 'CCDSUM', 'obsmode'] + def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. @@ -780,6 +800,26 @@ def configuration_keys(self): """ return ['dispname', 'decker', 'binning'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRISM', 'MASKNAME', 'CCDSUM', 'obsmode'] + def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 841f10a698..34b8e390ea 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -513,6 +513,26 @@ def configuration_keys(self): # removed from the list of valid frames in PypeItMetaData. return ['dispname', 'decker', 'binning', 'dispangle', 'amp', 'filter1'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATENAM', 'SLMSKNAM', 'G3TLTWAV', 'G4TLTWAV', 'AMPMODE', 'DWFILNAM'] + def valid_configuration_values(self): """ Return a fixed set of valid values for any/all of the configuration diff --git a/pypeit/spectrographs/keck_hires.py b/pypeit/spectrographs/keck_hires.py index 8b2f77c0de..0cb407e25b 100644 --- a/pypeit/spectrographs/keck_hires.py +++ b/pypeit/spectrographs/keck_hires.py @@ -224,6 +224,25 @@ def configuration_keys(self): """ return ['filter1', 'echangle', 'xdangle'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['FIL1NAME', 'ECHANGL', 'XDANGL'] def pypeit_file_keys(self): """ diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index f28aca965e..98737af54d 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -206,6 +206,109 @@ def init_meta(self): self.meta['lampstat{:02d}'.format(len(lamp_names) + 1)] = dict(ext=0, card='FLSPECTR') self.meta['lampshst{:02d}'.format(len(lamp_names) + 1)] = dict(ext=0, card=None, default=1) + def compound_meta(self, headarr, meta_key): + """ + Methods to generate metadata requiring interpretation of the header + data, instead of simply reading the value of a header card. + + Args: + headarr (:obj:`list`): + List of `astropy.io.fits.Header`_ objects. + meta_key (:obj:`str`): + Metadata keyword to construct. + + Returns: + object: Metadata value read from the header(s). + """ + if meta_key == 'binning': + binspatial, binspec = parse.parse_binning(headarr[0]['BINNING']) + binning = parse.binning2string(binspec, binspatial) + return binning + elif meta_key == 'exptime': + try: + return headarr[0]['ELAPTIME'] + except KeyError: + return headarr[0]['TELAPSE'] + elif meta_key == 'slitwid': + # Get the slice scale + slicescale = 0.00037718 # Degrees per 'large slicer' slice + ifunum = headarr[0]['IFUNUM'] + if ifunum == 2: + slicescale /= 2.0 + elif ifunum == 3: + slicescale /= 4.0 + return slicescale + elif meta_key == 'ra' or meta_key == 'dec': + try: + if self.is_nasmask(headarr[0]): + hdrstr = 'RABASE' if meta_key == 'ra' else 'DECBASE' + else: + hdrstr = 'RA' if meta_key == 'ra' else 'DEC' + except KeyError: + try: + hdrstr = 'TARGRA' if meta_key == 'ra' else 'TARGDEC' + except KeyError: + hdrstr = '' + return headarr[0][hdrstr] + elif meta_key == 'pressure': + try: + return headarr[0]['WXPRESS'] * 0.001 # Must be in astropy.units.bar + except KeyError: + msgs.warn("Pressure is not in header") + return 0.0 + elif meta_key == 'temperature': + try: + return headarr[0]['WXOUTTMP'] # Must be in astropy.units.deg_C + except KeyError: + msgs.warn("Temperature is not in header") + return 0.0 + elif meta_key == 'humidity': + try: + return headarr[0]['WXOUTHUM'] / 100.0 + except KeyError: + msgs.warn("Humidity is not in header") + return 0.0 + elif meta_key == 'obstime': + return Time(headarr[0]['DATE-END']) + else: + msgs.error("Not ready for this compound meta") + + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'decker', 'binning', 'dispangle'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['BGRATNAM', 'IFUNAM', 'BGRANGLE'] + @classmethod def default_pypeit_par(cls): """ @@ -292,89 +395,6 @@ def default_pypeit_par(cls): return par - def compound_meta(self, headarr, meta_key): - """ - Methods to generate metadata requiring interpretation of the header - data, instead of simply reading the value of a header card. - - Args: - headarr (:obj:`list`): - List of `astropy.io.fits.Header`_ objects. - meta_key (:obj:`str`): - Metadata keyword to construct. - - Returns: - object: Metadata value read from the header(s). - """ - if meta_key == 'binning': - binspatial, binspec = parse.parse_binning(headarr[0]['BINNING']) - binning = parse.binning2string(binspec, binspatial) - return binning - elif meta_key == 'exptime': - try: - return headarr[0]['ELAPTIME'] - except KeyError: - return headarr[0]['TELAPSE'] - elif meta_key == 'slitwid': - # Get the slice scale - slicescale = 0.00037718 # Degrees per 'large slicer' slice - ifunum = headarr[0]['IFUNUM'] - if ifunum == 2: - slicescale /= 2.0 - elif ifunum == 3: - slicescale /= 4.0 - return slicescale - elif meta_key == 'ra' or meta_key == 'dec': - try: - if self.is_nasmask(headarr[0]): - hdrstr = 'RABASE' if meta_key == 'ra' else 'DECBASE' - else: - hdrstr = 'RA' if meta_key == 'ra' else 'DEC' - except KeyError: - try: - hdrstr = 'TARGRA' if meta_key == 'ra' else 'TARGDEC' - except KeyError: - hdrstr = '' - return headarr[0][hdrstr] - elif meta_key == 'pressure': - try: - return headarr[0]['WXPRESS'] * 0.001 # Must be in astropy.units.bar - except KeyError: - msgs.warn("Pressure is not in header") - return 0.0 - elif meta_key == 'temperature': - try: - return headarr[0]['WXOUTTMP'] # Must be in astropy.units.deg_C - except KeyError: - msgs.warn("Temperature is not in header") - return 0.0 - elif meta_key == 'humidity': - try: - return headarr[0]['WXOUTHUM'] / 100.0 - except KeyError: - msgs.warn("Humidity is not in header") - return 0.0 - elif meta_key == 'obstime': - return Time(headarr[0]['DATE-END']) - else: - msgs.error("Not ready for this compound meta") - - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'decker', 'binning', 'dispangle'] - def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index f4b32ac946..13b0bd68c7 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -813,6 +813,26 @@ def init_meta(self): # Add the name of the dispersing element self.meta['dispname'] = dict(ext=0, card='GRISNAME') + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRISNAME', 'DICHNAME', 'SLITNAME'] + def bpm(self, filename, det, shape=None, msbias=None): """ Generate a default bad-pixel mask. @@ -1252,6 +1272,26 @@ def configuration_keys(self): """ return super().configuration_keys() + ['dispangle', 'cenwave', 'amp', 'binning'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRANAME', 'DICHNAME', 'SLITNAME', 'GRANGLE', 'WAVELEN', 'TAPLINES', 'NUMAMPS'] + def bpm(self, filename, det, shape=None, msbias=None): """ Generate a default bad-pixel mask. @@ -1317,7 +1357,6 @@ def init_meta(self): self.meta['mjd'] = dict(ext=0, card='MJD') self.meta['exptime'] = dict(ext=0, card='TELAPSE') - def get_detector_par(self, det, hdu=None): """ Return metadata for the selected detector. diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index f05667c97f..24eeea3a20 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -387,6 +387,26 @@ def configuration_keys(self): """ return ['decker_secondary', 'slitlength', 'slitwid', 'dispname', 'filter1'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['MASKNAME', 'OBSMODE', 'FILTER'] + def modify_config(self, fitstbl, cfg): """ Modify the configuration dictionary for a given frame. This method is used diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 2915284ec4..2d5bdac4a7 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -209,6 +209,26 @@ def configuration_keys(self): """ return ['dispname'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['INSTR'] + def get_comb_group(self, fitstbl): """ diff --git a/pypeit/spectrographs/keck_nirspec.py b/pypeit/spectrographs/keck_nirspec.py index 401041862c..4f05cff860 100644 --- a/pypeit/spectrographs/keck_nirspec.py +++ b/pypeit/spectrographs/keck_nirspec.py @@ -176,6 +176,26 @@ def configuration_keys(self): """ return ['decker', 'dispname'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['SLITNAME', 'DISPERS'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/lbt_luci.py b/pypeit/spectrographs/lbt_luci.py index 08e7717eb8..cb45be39de 100644 --- a/pypeit/spectrographs/lbt_luci.py +++ b/pypeit/spectrographs/lbt_luci.py @@ -170,6 +170,26 @@ def configuration_keys(self): """ return ['decker', 'dispname'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['MASKID', 'GRATNAME'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/lbt_mods.py b/pypeit/spectrographs/lbt_mods.py index 4e725d51ef..624075829c 100644 --- a/pypeit/spectrographs/lbt_mods.py +++ b/pypeit/spectrographs/lbt_mods.py @@ -118,6 +118,26 @@ def configuration_keys(self): # decker is not included because standards are usually taken with a 5" slit and arc using 0.8" slit return ['dispname', 'binning' ] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATNAME', 'CCDXBIN', 'CCDYBIN'] + def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 059a1adcce..cfe9613119 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -198,6 +198,42 @@ def compound_meta(self, headarr, meta_key): msgs.error(f"Not ready for compound meta {meta_key} for LDT/DeVeny") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'cenwave', 'filter1', 'binning'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATING', 'GRANGLE', 'FILTREAR', 'CCDSUM'] + @classmethod def default_pypeit_par(cls): """ @@ -259,22 +295,6 @@ def default_pypeit_par(cls): return par - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'cenwave', 'filter1', 'binning'] - def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. diff --git a/pypeit/spectrographs/mdm_osmos.py b/pypeit/spectrographs/mdm_osmos.py index 47e92116b5..5dd9cc2614 100644 --- a/pypeit/spectrographs/mdm_osmos.py +++ b/pypeit/spectrographs/mdm_osmos.py @@ -162,6 +162,26 @@ def configuration_keys(self): """ return ['dispname', 'decker', 'binning'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['DISPID', 'SLITID', 'CCDXBIN', 'CCDYBIN'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/mmt_binospec.py b/pypeit/spectrographs/mmt_binospec.py index 589ee3ff1b..c74f972a95 100644 --- a/pypeit/spectrographs/mmt_binospec.py +++ b/pypeit/spectrographs/mmt_binospec.py @@ -127,6 +127,42 @@ def compound_meta(self, headarr, meta_key): binning = parse.binning2string(binspec, binspatial) return binning + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['DISPERS1'] + @classmethod def default_pypeit_par(cls): """ @@ -282,22 +318,6 @@ def bpm(self, filename, det, shape=None, msbias=None): return bpm_img - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname'] - def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. diff --git a/pypeit/spectrographs/mmt_bluechannel.py b/pypeit/spectrographs/mmt_bluechannel.py index 1800fd0500..90576a4df5 100644 --- a/pypeit/spectrographs/mmt_bluechannel.py +++ b/pypeit/spectrographs/mmt_bluechannel.py @@ -178,6 +178,42 @@ def compound_meta(self, headarr, meta_key): msgs.error(f"Not ready for compound meta, {meta_key}, for MMT Blue Channel.") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'dispangle', 'filter1'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['DISPERSE', 'TILTPOS', 'INSFILTE'] + @classmethod def default_pypeit_par(cls): """ @@ -352,22 +388,6 @@ def get_lamps(self, fitstbl): return list(set(lamps)) - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'dispangle', 'filter1'] - def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/mmt_mmirs.py b/pypeit/spectrographs/mmt_mmirs.py index e79c61feee..78f3bef49e 100644 --- a/pypeit/spectrographs/mmt_mmirs.py +++ b/pypeit/spectrographs/mmt_mmirs.py @@ -79,6 +79,26 @@ def compound_meta(self, headarr, meta_key): return ttime.mjd msgs.error("Not ready for this compound meta") + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['DISPERSE'] + def get_detector_par(self, det, hdu=None): """ Return metadata for the selected detector. diff --git a/pypeit/spectrographs/not_alfosc.py b/pypeit/spectrographs/not_alfosc.py index 9589117c5b..df8902948f 100644 --- a/pypeit/spectrographs/not_alfosc.py +++ b/pypeit/spectrographs/not_alfosc.py @@ -213,6 +213,26 @@ def configuration_keys(self): """ return ['dispname', 'decker', 'binning'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['ALGRNM', 'ALAPRTNM', 'DETXBIN', 'DETYBIN'] + def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. diff --git a/pypeit/spectrographs/ntt_efosc2.py b/pypeit/spectrographs/ntt_efosc2.py index 6423c0d5ef..c615313552 100644 --- a/pypeit/spectrographs/ntt_efosc2.py +++ b/pypeit/spectrographs/ntt_efosc2.py @@ -27,22 +27,6 @@ class NTTEFOSC2Spectrograph(spectrograph.Spectrograph): supported = True comment = 'The ESO Faint Object Spectrograph and Camera version 2' - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'decker', 'binning', 'datasec'] - def init_meta(self): """ Define how metadata are derived from the spectrograph files. @@ -117,6 +101,45 @@ def compound_meta(self, headarr, meta_key): else: msgs.error("Not ready for this compound meta") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'decker', 'binning', 'datasec'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['HIERARCH ESO INS GRIS1 NAME', 'HIERARCH ESO INS SLIT1 NAME', + 'HIERARCH ESO SEQ SPEC TARG', 'CDELT1', 'CDELT2', + 'HIERARCH ESO DET OUT1 NX', 'HIERARCH ESO DET OUT1 NY', + 'HIERARCH ESO DET OUT1 OVSCY', 'HIERARCH ESO DET OUT1 PRSCX', + 'HIERARCH ESO DET OUT1 PRSCY', 'HIERARCH ESO DET OUT1 X'] def get_detector_par(self, det, hdu=None): """ diff --git a/pypeit/spectrographs/p200_dbsp.py b/pypeit/spectrographs/p200_dbsp.py index da0ec9c7d2..4a6013a9f3 100644 --- a/pypeit/spectrographs/p200_dbsp.py +++ b/pypeit/spectrographs/p200_dbsp.py @@ -33,22 +33,6 @@ class P200DBSPSpectrograph(spectrograph.Spectrograph): telescope = telescopes.P200TelescopePar() url = 'https://sites.astro.caltech.edu/palomar/observer/200inchResources/dbspoverview.html' - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'binning', 'dispangle', 'dichroic'] - def init_meta(self): """ Define how metadata are derived from the spectrograph files. @@ -104,6 +88,42 @@ def compound_meta(self, headarr: List[fits.Header], meta_key: str): else: return None + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'binning', 'dispangle', 'dichroic'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATING', 'ANGLE', 'APERTURE'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/p200_tspec.py b/pypeit/spectrographs/p200_tspec.py index 5971988406..2327aaee7a 100644 --- a/pypeit/spectrographs/p200_tspec.py +++ b/pypeit/spectrographs/p200_tspec.py @@ -73,6 +73,42 @@ def compound_meta(self, headarr, meta_key): else: msgs.error("Not ready for this compound meta") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['FPA'] + def get_detector_par(self, det, hdu=None): """ Return metadata for the selected detector. @@ -183,22 +219,6 @@ def default_pypeit_par(cls): return par - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname'] - def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/shane_kast.py b/pypeit/spectrographs/shane_kast.py index a78f83aab4..e4bb16989e 100644 --- a/pypeit/spectrographs/shane_kast.py +++ b/pypeit/spectrographs/shane_kast.py @@ -59,26 +59,6 @@ def default_pypeit_par(cls): par['scienceframe']['exprng'] = [61, None] return par - def compound_meta(self, headarr, meta_key): - """ - Methods to generate metadata requiring interpretation of the header - data, instead of simply reading the value of a header card. - - Args: - headarr (:obj:`list`): - List of `astropy.io.fits.Header`_ objects. - meta_key (:obj:`str`): - Metadata keyword to construct. - - Returns: - object: Metadata value read from the header(s). - """ - if meta_key == 'mjd': - time = headarr[0]['DATE'] - ttime = Time(time, format='isot') - return ttime.mjd - msgs.error("Not ready for this compound meta") - def init_meta(self): """ Define how metadata are derived from the spectrograph files. @@ -105,6 +85,26 @@ def init_meta(self): for kk,lamp_name in enumerate(lamp_names): self.meta['lampstat{:02d}'.format(kk+1)] = dict(ext=0, card='LAMPSTA{0}'.format(lamp_name)) + def compound_meta(self, headarr, meta_key): + """ + Methods to generate metadata requiring interpretation of the header + data, instead of simply reading the value of a header card. + + Args: + headarr (:obj:`list`): + List of `astropy.io.fits.Header`_ objects. + meta_key (:obj:`str`): + Metadata keyword to construct. + + Returns: + object: Metadata value read from the header(s). + """ + if meta_key == 'mjd': + time = headarr[0]['DATE'] + ttime = Time(time, format='isot') + return ttime.mjd + msgs.error("Not ready for this compound meta") + def configuration_keys(self): """ Return the metadata keys that define a unique instrument @@ -320,6 +320,26 @@ def init_meta(self): self.meta['dispname'] = dict(ext=0, card='GRISM_N') # Additional (for config) + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRISM_N', 'BSPLIT_N'] + class ShaneKastRedSpectrograph(ShaneKastSpectrograph): """ @@ -475,6 +495,25 @@ def configuration_keys(self): """ return super().configuration_keys() + ['dispangle'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATNG_N', 'BSPLIT_N', 'GRTILT_P'] def config_specific_par(self, scifile, inp_par=None): """ @@ -668,4 +707,23 @@ def init_meta(self): self.meta['dispangle'] = dict(ext=0, card='GRTILT_P') # Additional (for config) + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATNG_N', 'BSPLIT_N', 'GRTILT_P'] diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index 9108ca5c8c..1e58f92a33 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -25,22 +25,6 @@ class SOARGoodmanSpectrograph(spectrograph.Spectrograph): url = 'https://noirlab.edu/science/programs/ctio/instruments/goodman-high-throughput-spectrograph' allowed_extensions = [".fz"] - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'decker', 'binning', 'dispangle'] - def init_meta(self): """ Define how metadata are derived from the spectrograph files. @@ -95,6 +79,42 @@ def compound_meta(self, headarr, meta_key): else: msgs.error("Not ready for this compound meta") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'decker', 'binning', 'dispangle'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRATING', 'SLIT', 'CCDSUM', 'GRT_ANG'] + # def pypeit_file_keys(self): # """ # Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 15e99a1811..18be38cd66 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -42,7 +42,7 @@ from pypeit.par import pypeitpar from pypeit.images.detector_container import DetectorContainer from pypeit.images.mosaic import Mosaic -from astropy.io.fits import Header +from astropy.io.fits import Header, HDUList # TODO: Create an EchelleSpectrograph derived class that holds all of @@ -699,11 +699,14 @@ def configuration_keys(self): def raw_header_cards(self): """ - Return additional raw header cards that should be propagated in - the output files + Return additional raw header cards to be propagated in + downstream output files for configuration identification. - In general, these should be the FITS keywords used to construct the - :meth:`~pypeit.spectrograph.Spectrograph.compound_meta` metadata keys. + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -1257,14 +1260,14 @@ def get_meta_value(self, inp, meta_key, required=False, Returns: Value recovered for (each) keyword. Can be None. """ - if isinstance(inp, (str, pathlib.Path)): + if isinstance(inp, (str, pathlib.Path, HDUList)): headarr = self.get_headarr(inp) elif inp is None or isinstance(inp, list): headarr = inp elif isinstance(inp, Header): headarr = [inp] else: - msgs.error('Unrecognized type for input') + msgs.error(f'Unrecognized type for input: {type(inp)}') if headarr is None: if required: @@ -1307,13 +1310,13 @@ def get_meta_value(self, inp, meta_key, required=False, elif 'compound' in self.meta[meta_key].keys(): value = self.compound_meta(headarr, meta_key) else: - msgs.error("Failed to load spectrograph value for meta: {}".format(meta_key)) + msgs.error(f"Failed to load spectrograph value for meta: {meta_key}") else: # Grab from the header, if we can value = headarr[self.meta[meta_key]['ext']][self.meta[meta_key]['card']] except (KeyError, TypeError) as e: if ignore_bad_header or not required: - msgs.warn("Bad Header key ({0:s}), but we'll try to continue on..".format(meta_key)) + msgs.warn(f"Bad Header key ({meta_key}), but we'll try to continue on..") else: raise e @@ -1512,17 +1515,20 @@ def get_headarr(self, inp, strict=True): if isinstance(inp, (str, pathlib.Path)): self._check_extensions(inp) try: - hdu = io.fits_open(inp) + hdul = io.fits_open(inp) except: if strict: msgs.error(f'Problem opening {inp}.') else: msgs.warn(f'Problem opening {inp}.{msgs.newline()}' 'Proceeding, but should consider removing this file!') - return None #['None']*999 # self.numhead + return None + elif isinstance(inp, HDUList): + hdul = inp else: - hdu = inp - return [hdu[k].header for k in range(len(hdu))] + msgs.error(f'Unrecognized type for input: {type(inp)}') + + return [hdul[k].header for k in range(len(hdul))] def check_frame_type(self, ftype, fitstbl, exprng=None): """ diff --git a/pypeit/spectrographs/tng_dolores.py b/pypeit/spectrographs/tng_dolores.py index f39b3fd73d..7c1c5dc7e4 100644 --- a/pypeit/spectrographs/tng_dolores.py +++ b/pypeit/spectrographs/tng_dolores.py @@ -120,7 +120,7 @@ def config_specific_par(self, scifile, inp_par=None): par['calibrations']['wavelengths']['lamps'] = ['NeI', 'HgI', 'HeI'] else: par['calibrations']['wavelengths']['method'] = 'holy-grail' - msg.warn('Check wavelength calibration file.') + msgs.warn('Check wavelength calibration file.') # Return return par @@ -190,6 +190,25 @@ def configuration_keys(self): """ return ['dispname', 'decker'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['GRM_ID', 'SLT_ID'] def check_frame_type(self, ftype, fitstbl, exprng=None): """ diff --git a/pypeit/spectrographs/vlt_fors.py b/pypeit/spectrographs/vlt_fors.py index 252f76598c..5b68edd95a 100644 --- a/pypeit/spectrographs/vlt_fors.py +++ b/pypeit/spectrographs/vlt_fors.py @@ -3,7 +3,6 @@ .. include:: ../include/links.rst """ -import os import numpy as np from pypeit import msgs from pypeit import telescopes @@ -353,6 +352,26 @@ def configuration_keys(self): """ return ['dispname', 'dispangle', 'decker', 'detector'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['HIERARCH ESO INS GRIS1 NAME', 'HIERARCH ESO INS GRIS1 WLEN', + 'HIERARCH ESO INS SLIT NAME', 'HIERARCH ESO SEQ SPEC TARG'] def parse_dither_pattern(self, file_list, ext=None): """ diff --git a/pypeit/spectrographs/vlt_sinfoni.py b/pypeit/spectrographs/vlt_sinfoni.py index 86f7c6ab7b..16ebbc5e43 100644 --- a/pypeit/spectrographs/vlt_sinfoni.py +++ b/pypeit/spectrographs/vlt_sinfoni.py @@ -230,6 +230,27 @@ def configuration_keys(self): """ return ['decker', 'dispname', 'filter1'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['HIERARCH ESO INS OPTI1 NAME', 'HIERARCH ESO INS GRAT1 NAME', + 'HIERARCH ESO INS FILT1 NAME'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index bfcbe63d94..1ddc89f874 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -99,6 +99,26 @@ def configuration_keys(self): """ return ['arm'] + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['HIERARCH ESO SEQ ARM'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. diff --git a/pypeit/spectrographs/wht_isis.py b/pypeit/spectrographs/wht_isis.py index ef72f26f10..a734ccba69 100644 --- a/pypeit/spectrographs/wht_isis.py +++ b/pypeit/spectrographs/wht_isis.py @@ -21,22 +21,6 @@ class WHTISISSpectrograph(spectrograph.Spectrograph): telescope = telescopes.WHTTelescopePar() url = 'https://www.ing.iac.es/astronomy/instruments/isis/' - def configuration_keys(self): - """ - Return the metadata keys that define a unique instrument - configuration. - - This list is used by :class:`~pypeit.metadata.PypeItMetaData` to - identify the unique configurations among the list of frames read - for a given reduction. - - Returns: - :obj:`list`: List of keywords of data pulled from file headers - and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` - object. - """ - return ['dispname', 'decker', 'binning', 'dispangle', 'dichroic'] - def init_meta(self): """ Define how metadata are derived from the spectrograph files. @@ -85,6 +69,42 @@ def compound_meta(self, headarr, meta_key): return parse.binning2string(binspec, binspatial) msgs.error("Not ready for this compound meta") + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'decker', 'binning', 'dispangle', 'dichroic'] + + def raw_header_cards(self): + """ + Return additional raw header cards to be propagated in + downstream output files for configuration identification. + + The list of raw data FITS keywords should be those used to populate + the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + for a particular spectrograph, if different from the name of the + PypeIt metadata keyword. + + This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + to include additional FITS keywords in downstream output files. + + Returns: + :obj:`list`: List of keywords from the raw data files that should + be propagated in output files. + """ + return ['ISIGRAT', 'ISISLITU', 'CCDXBIN', 'CCDYBIN', 'CENWAVE', 'ISIDICHR'] + def pypeit_file_keys(self): """ Define the list of keys to be output into a standard ``PypeIt`` file. From 694f89093866f646e5f85091668682deb8f05035 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 10 Apr 2023 15:16:08 -0700 Subject: [PATCH 209/308] stds in ql --- doc/include/links.rst | 1 + pypeit/metadata.py | 24 +++ pypeit/par/pypeitpar.py | 35 ++-- pypeit/pypeit.py | 35 +++- pypeit/pypeitsetup.py | 38 ++++ pypeit/scripts/ql.py | 252 ++++++++++++++++++--------- pypeit/spectrographs/keck_nires.py | 2 +- pypeit/spectrographs/spectrograph.py | 25 ++- 8 files changed, 303 insertions(+), 109 deletions(-) diff --git a/doc/include/links.rst b/doc/include/links.rst index 8b434a5732..277b804c2a 100644 --- a/doc/include/links.rst +++ b/doc/include/links.rst @@ -70,6 +70,7 @@ .. _astropy.table.Table: https://docs.astropy.org/en/stable/table/ .. _astropy.table.table.Table: https://docs.astropy.org/en/stable/table/ .. _astropy.table.Table.read: https://docs.astropy.org/en/stable/api/astropy.table.Table.html#astropy.table.Table.read +.. _astropy.table.Table.remove_rows: https://docs.astropy.org/en/stable/api/astropy.table.Table.html#astropy.table.Table.remove_rows .. _astropy.table.Row: https://docs.astropy.org/en/stable/api/astropy.table.Row.html .. _astropy.wcs.wcs.WCS: http://docs.astropy.org/en/stable/api/astropy.wcs.WCS.html .. _astropy.modeling: http://docs.astropy.org/en/stable/modeling/index.html diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 03fc14b4fb..460465429a 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -336,6 +336,30 @@ def merge(self, usrdata, match_type=True): for key in usrdata.keys(): self.table[key] = usrdata[key][srt] + def remove_rows(self, rows, regroup=False): + """ + Remove the provided rows from the data table. + + This edits the object directly, nothing is returned. + + Args: + rows (:obj:`int`, array-like): + One or more rows that should be *removed* from the datatable. + This is passed directly to `astropy.table.Table.remove_rows`_; + see astropy documentation to confirm allowed types. + regroup (:obj:`bool`, optional): + If True, reset the setup/configuration, calibration, and + combination groups. + """ + self.table.remove_rows(np.atleast_1d(rows)) + if regroup: + for col in ['setup', 'calib', 'calibbit', 'comb_id', 'bkg_id']: + if col in self.keys(): + del self.table[col] + self.set_configurations(self.unique_configurations()) + self.set_calibration_groups() + self.set_combination_groups() + def finalize_usr_build(self, frametype, setup): """ Finalize the build of the table based on user-provided data, diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 42e2599df3..5ed2496d1e 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -60,6 +60,7 @@ def __init__(self, existing_par=None, foo=None): .. include:: ../include/links.rst """ +from pathlib import Path import os import warnings import inspect @@ -3470,19 +3471,6 @@ def validate(self): raise ValueError('Continuum rejection threshold must be a single number or a ' 'two-element list/array.') - #@staticmethod - #def valid_methods(): - # """ - # Return the valid methods to use for tilt tracing. - # """ - # return [ 'pca', 'spca', 'spline', 'interp', 'perp', 'zero' ] - -# def validate(self): -# # Convert param to list -# if isinstance(self.data['params'], int): -# self.data['params'] = [self.data['params']] -# pass - class ReducePar(ParSet): """ @@ -3583,8 +3571,8 @@ class FindObjPar(ParSet): def __init__(self, trace_npoly=None, snr_thresh=None, find_trim_edge=None, find_maxdev=None, find_extrap_npoly=None, maxnumber_sci=None, maxnumber_std=None, find_fwhm=None, ech_find_max_snr=None, ech_find_min_snr=None, - ech_find_nabove_min_snr=None, skip_second_find=None, skip_final_global=None, skip_skysub=None, - find_negative=None, find_min_max=None): + ech_find_nabove_min_snr=None, skip_second_find=None, skip_final_global=None, + skip_skysub=None, find_negative=None, find_min_max=None, std_spec1d=None): # Grab the parameter names and values from the function # arguments args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -3703,6 +3691,14 @@ def __init__(self, trace_npoly=None, snr_thresh=None, find_trim_edge=None, 'detector. It only used for object finding. This parameter is helpful if your object only'\ 'has emission lines or at high redshift and the trace only shows in part of the detector.' + defaults['std_spec1d'] = None + dtypes['std_spec1d'] = str + descr['std_spec1d'] = 'A PypeIt spec1d file of a previously reduced standard star. The ' \ + 'trace of the standard star spectrum is used as a crutch for ' \ + 'tracing the object spectra, when a direct trace is not possible ' \ + '(i.e., faint sources). If provided, this overrides use of any ' \ + 'standards included in your pypeit file; the standard exposures ' \ + 'will still be reduced.' # Instantiate the parameter set super(FindObjPar, self).__init__(list(pars.keys()), @@ -3721,8 +3717,9 @@ def from_dict(cls, cfg): parkeys = ['trace_npoly', 'snr_thresh', 'find_trim_edge', 'find_extrap_npoly', 'maxnumber_sci', 'maxnumber_std', 'find_maxdev', 'find_fwhm', 'ech_find_max_snr', - 'ech_find_min_snr', 'ech_find_nabove_min_snr', 'skip_second_find', 'skip_final_global', - 'skip_skysub', 'find_negative', 'find_min_max'] + 'ech_find_min_snr', 'ech_find_nabove_min_snr', 'skip_second_find', + 'skip_final_global', 'skip_skysub', 'find_negative', 'find_min_max', + 'std_spec1d'] badkeys = np.array([pk not in parkeys for pk in k]) if np.any(badkeys): @@ -3734,7 +3731,9 @@ def from_dict(cls, cfg): return cls(**kwargs) def validate(self): - pass + if self.data['std_spec1d'] is not None \ + and not Path(self.data['std_spec1d']).resolve().exists(): + msgs.error(f'{self.data["std_spec1d"]} does not exist!') class SkySubPar(ParSet): diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index d83e223a30..038e7372d9 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -227,8 +227,13 @@ def spec_output_file(self, frame, twod=False): Returns: :obj:`str`: The path for the output file """ - return os.path.join(self.science_path, 'spec{0}d_{1}.fits'.format('2' if twod else '1', - self.fitstbl.construct_basename(frame))) + return self.get_spec_file_name(self.science_path, self.fitstbl.construct_basename(frame)) +# return os.path.join(self.science_path, 'spec{0}d_{1}.fits'.format('2' if twod else '1', +# self.fitstbl.construct_basename(frame))) + + @staticmethod + def get_spec_file_name(science_path, basename, twod=False): + return os.path.join(science_path, f'spec{"2" if twod else "1"}d_{basename}.fits') def outfile_exists(self, frame): """ @@ -244,22 +249,35 @@ def outfile_exists(self, frame): def get_std_outfile(self, standard_frames): """ - Grab the output filename from an input list of standard_frame indices + Return the spec1d file name for a reduced standard to use as a tracing + crutch. - If more than one index is provided, the first is taken + The file is either constructed using the provided standard frame indices + or it is directly pulled from the + :class:`~pypeit.par.pypeitpar.FindObjPar` parameters in :attr:`par`. + The latter takes precedence. If more than one row is provided by + ``standard_frames``, the first index is used. Args: - standard_frames (list): List of indices corresponding to standard stars + standard_frames (array-like): + Set of rows in :attr:`fitstbl` with standards. Returns: - str: Full path to the standard spec1d output file + :obj:`str`: Full path to the standard spec1d output file to use. """ + # NOTE: I'm not sure if this is the best place to put this, but it does + # isolate where the name of the standard-star spec1d file is defined. + std_outfile = self.par['reduce']['findobj']['std_spec1d'] + if std_outfile is not None: + if not Path(std_outfile).resolve().exists(): + msgs.error(f'Provided standard spec1d file does not exist: {std_outfile}') + return std_outfile + # TODO: Need to decide how to associate standards with # science frames in the case where there is more than one # standard associated with a given science frame. Below, I # just use the first standard - std_outfile = None std_frame = None if len(standard_frames) == 0 else standard_frames[0] # Prepare to load up standard? if std_frame is not None: @@ -409,7 +427,8 @@ def reduce_all(self): # Quicklook mode? # TODO: This is the only place this is used, I think... if self.par['rdx']['quicklook'] and j > 0: - msgs.info("Quicklook mode. Only reducing science frames in firs comb_id group") + msgs.warn('PypeIt executed in quicklook mode. Only reducing science frames ' + 'in the first combination group!') break # frames = np.where(self.fitstbl['comb_id'] == comb_id)[0] diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index 3337608ae3..b76a9a9653 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -5,6 +5,7 @@ .. include:: ../include/links.rst """ +from pathlib import Path import time import os @@ -340,6 +341,43 @@ class is fully instantiated such that the user can return self.par, self.spectrograph, self.fitstbl + def remove_table_rows(self, rows, regroup=False): + """ + Remove rows from :attr:`fitstbl`. + + This is a wrapper for + :func:`~pypeit.metadata.PypeItMetaData.remove_rows` that propagates the + files removed from the fits table to the other attributes of the class: + :attr:`file_list`, :attr:`frametype`, and :attr:`usrdata`. + + This *directly* modifies the attributes of the instance. + + Args: + rows (:obj:`int`, array-like): + One or more rows that should be *removed* from the datatable. + This is passed directly to `astropy.table.Table.remove_rows`_; + see astropy documentation to confirm allowed types. + regroup (:obj:`bool`, optional): + If True, reset the setup/configuration, calibration, and + combination groups. + """ + # Get the names of the files to be removed + removed_files = self.fitstbl.frame_paths(rows) + # Remove 'em + self.fitstbl.remove_rows(rows, regroup=regroup) + # Remove the files from the file list + self.file_list = [f for f in self.file_list + if Path(f).resolve().name in self.fitstbl['filename']] + # Remove the files from the frametype + if self.frametype is not None: + self.frametype = {k : v for k,v in self.frametype.items() + if Path(f).resolve().name in self.fitstbl['filename']} + # Remove the files from the user data + if self.usrdata is not None: + keep = [i for i in range(len(self.usrdata)) + if self.usrdata['filename'][i] in self.fitstbl['filename']] + self.usrdata = self.usrdata[keep] + def generate_ql_calib_pypeit_files(self, output_path:str, det:str=None, configs:str='all', diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 72718de7d5..ed7f1e5e63 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -3,11 +3,11 @@ Use cases: - 1. User inputs N files: arc, flat, science(s) - 2. User inputs 1 or more science files for a fixed-format instrument (e.g. NIRES) - 3. User inputs 1 folder of files - 4. User inputs 1 folder of files including 1 new science frame - 5. User inputs an ASCII file of files + 1. DONE: User inputs N files: arc, flat, science(s) + 2. DONE: User inputs 1 or more science files for a fixed-format instrument (e.g. NIRES) + 3. DONE: User inputs 1 folder of files + 4. DONE: User inputs 1 folder of files including 1 new science frame + 5. DONE: User inputs an ASCII file of files 6. User inputs 2 science files with A-B [and calibs or uses defaults] 7. User inputs N science files with A and B (only), stacks all files at A and B independently, A-B, add pos+neg 8. User inputs N science files with an arbitrary set of dither patterns that are encoded in the headers (e.g. MOSFIRE, currently this works for just one dither pattern, and that may be all we need). Total stack is computed @@ -45,6 +45,42 @@ from pypeit import inputfiles +def get_files(raw_files, raw_path, ext): + """ + Use the user-provided input to get the files to process. + + Args: + raw_files (:obj:`list`): + The list of strings parsed from the ``raw_files`` command line + argument. Can be None. + raw_path (:obj:`str`): + The path to the raw files parsed from the ``raw_path`` command line + argument. + ext (:obj:`str`): + The file extension used to search for raw files parsed from the + ``ext`` command line argument. + + Returns: + :obj:`list`: List of strings providing the full path to each raw file. + """ + # Get the files to reduce + files = None + if raw_files is not None and len(raw_files) == 1: + # Try to read the file names as if they're in a file_of_files + try: + files = io.grab_rawfiles(file_of_files=raw_files[0]) + except: + # Failed, so assume its a raw file (only one calibration file?) and proceed + pass + if files is None: + try: + files = io.grab_rawfiles(raw_paths=[raw_path], list_of_files=raw_files, extension=ext) + except PypeItError as e: + msgs.error('Unable to parse provided input files. Check --raw_files, --raw_path, ' + 'and/or --ext input.') + return files + + def folder_name_from_scifiles(sci_files:list): """ Construct the directory name for QL output. @@ -69,12 +105,11 @@ def generate_sci_pypeitfile(redux_path:str, ref_calib_dir:Path, ps_sci, det:str=None, - remove_sci_dir:bool=True, + clean:bool=False, slitspatnum:str=None, maskID:str=None, boxcar_radius:float=None, - bkg_redux:bool=False, - stack:bool=True): + snr_thresh:float=None): """ Prepare to reduce the science frames by: @@ -97,8 +132,11 @@ def generate_sci_pypeitfile(redux_path:str, Setup object for the science frame(s) only. det (:obj:`str`, optional): Detector/mosaic identifier. If None, all detectors are reduced. - remove_sci_dir (:obj:`bool`, optional): - Remove the science directory if it exists. + clean (:obj:`bool`, optional): + Remove the directory structure for these files; i.e., start a + completely clean reduction. If false, any existing directory + structure will remain, but any existing science reduction products + will still be overwritten. slitspatnum (:obj:`str`, optional): Used to identify the slit that should be reduced; see :ref:`reduxpar`. If None, all slits are reduced. @@ -107,11 +145,6 @@ def generate_sci_pypeitfile(redux_path:str, to reduce. If None, all slits are reduced. boxcar_radius (:obj:`float`, optional): Boxcar radius in arcsec used for extraction. - bkg_redux (:obj:`bool`, optional): - Setup for dithered, difference-imaging reduction. - stack (:obj:`bool`, optional): - Reduce all of the science frames by stacking them all into a single - image. Returns: :obj:`str`: The name of the pypeit file. @@ -131,19 +164,13 @@ def generate_sci_pypeitfile(redux_path:str, ps_sci.fitstbl['calib'] = calib ps_sci.fitstbl._set_calib_group_bits() - # If stacking, make sure the combination group is added and set to the same - # value for all science frames - if len(ps_sci.fitstbl) > 1 and stack and not bkg_redux: - ps_sci.fitstbl.set_combination_groups(assign_objects=False) - ps_sci.fitstbl['comb_id'] = 1 - # Set the I/O directories _redux_path = Path(redux_path).resolve() sci_dir = _redux_path / folder_name_from_scifiles(ps_sci.fitstbl['filename'].data) calib_dir = sci_dir / ps_sci.par['calibrations']['calib_dir'] # Science reduction folder - if sci_dir.exists() and remove_sci_dir: + if sci_dir.exists() and clean: shutil.rmtree(sci_dir) # NOTE: This is done here (as opposed to waiting for the pypeit.PypeIt call # to create it) so that the symlink to the calibrations directory can be @@ -154,14 +181,42 @@ def generate_sci_pypeitfile(redux_path:str, # If the science directory wasn't removed and the new calibration directory # already exists, check that it points to the right directory. If not, # raise an error. - if calib_dir.exists() and calib_dir.is_link() and calib_dir.readlink() != ref_calib_dir: + if calib_dir.exists() and calib_dir.is_symlink() and calib_dir.readlink() != ref_calib_dir: msgs.error(f'Symlink to calibrations directory ({calib_dir}) already exists and points ' f'to {calib_dir.readlink()} instead of {ref_calib_dir}. Re-run quicklook ' f'forcing the existing reductions in {sci_dir} to be removed.') # Create the symlink if it doesn't already exist if not calib_dir.exists(): calib_dir.symlink_to(ref_calib_dir, target_is_directory=True) - + + # If a standard was provided, see if has been reduced already. If so, use + # the reduced standard and remove the standard from the setup object. + std_spec1d = None + is_std = ps_sci.fitstbl.find_frames('standard', index=True) + if len(is_std) > 0 and not clean: + for i in is_std: + std_spec1d = pypeit.PypeIt.get_spec_file_name( + str(sci_dir / ps_sci.par['rdx']['scidir']), + ps_sci.fitstbl.construct_basename(i)) + if Path(std_spec1d).exists(): + break + # File doesn't exist, so reset + std_spec1d = None + if std_spec1d is not None: + # Found an existing reduction, so remove the standard frames. + # NOTE: Should not need to regroup! + msgs.warn(f'Found existing standard star reduction: {std_spec1d}. This will be used ' + 'and the standards will not be re-reduced! To force them to be ' + 're-reduced, use the --clean option.') + ps_sci.remove_table_rows(is_std) + + # TODO: Enable code to find standard spec1d file in ref_calib_dir? Something like: +# elif find_archive_std: +# std_files = sorted(calib_dir.glob('std_spec1d_*')) +# if len(std_files) > 0: +# std_spec1d = std_files[0] + # TODO: Enable the user to provide the standard spec1d file directly? + # Configure cfg = {} cfg['rdx'] = {} @@ -217,9 +272,15 @@ def generate_sci_pypeitfile(redux_path:str, if slitspatnum is not None: cfg['rdx']['slitspatnum'] = slitspatnum - # Add the boxcar radius if specified + # Add reduce dictionary? + if any([k is not None for k in [snr_thresh, boxcar_radius, std_spec1d]]): + cfg['reduce'] = {} if boxcar_radius is not None: - cfg['reduce'] = {'extraction' : {'boxcar_radius': boxcar_radius}} + cfg['reduce']['extraction'] = {'boxcar_radius': boxcar_radius} + if snr_thresh is not None: + cfg['reduce']['findobj'] = {'snr_thresh': snr_thresh} + if std_spec1d is not None: + cfg['reduce']['findobj'] = {'std_spec1d': std_spec1d} # Write the pypeit file (note this returns the filename, not the list, # because of the [0] at the end of the call) @@ -409,6 +470,11 @@ def get_parser(cls, width=None): 'The top-level directory is given by parent_calib_dir (or ' 'redux_path) and the sub-directories follow the normal PypeIt ' 'naming scheme.') + parser.add_argument('--clean', default=False, action='store_true', + help='Remove the existing output directories to force a fresh ' + 'reduction. If False, any existing directory structure will ' + 'remain, but any existing science files will still be ' + 'overwritten.') # TODO: Add option to not overwrite existing reductions @@ -433,13 +499,12 @@ def get_parser(cls, width=None): '3,7, you would use --det 1,5 3,7') parser.add_argument('--no_stack', dest='stack', default=True, action='store_false', help='Do *not* stack multiple science frames') - parser.add_argument('--bkg_redux', default=False, action='store_true', - help='If set the script will perform difference imaging. Namely it ' - 'will identify sequences of AB pairs based on the dither pattern ' - 'and perform difference imaging sky subtraction and fit for ' - 'residuals. This functionality only works for instruments where ' - 'PypeIt can automatically parse dither sequences from the file ' - 'headers.') + parser.add_argument('--ignore_std', default=False, action='store_true', + help='If standard star observations are automatically detected, ' + 'ignore those frames. Otherwise, they are included with the ' + 'reduction of the science frames.') + parser.add_argument('--snr_thresh', default=None, type=float, + help='Change the default S/N threshold used during source detection') return parser @@ -448,22 +513,10 @@ def main(args): tstart = time.perf_counter() - # Get the files to reduce - files = None - if args.raw_files is not None and len(args.raw_files) == 1: - # Try to read the file names as if they're in a file_of_files - try: - files = io.grab_rawfiles(file_of_files=args.raw_files[0]) - except: - # Failed, so assume its a raw file (only one calibration file?) and proceed - pass - if files is None: - try: - files = io.grab_rawfiles(raw_paths=[args.raw_path], list_of_files=args.raw_files, - extension=args.ext) - except PypeItError as e: - msgs.error('Unable to parse provided input files. Check --raw_files, --raw_path, ' - 'and/or --ext input.') + #assert False + + # Parse the raw files + files = get_files(args.raw_files, args.raw_path, args.ext) if len(files) == 0: msgs.error('No files to read! Check --raw_files, --raw_path, and/or --ext input.') @@ -486,44 +539,83 @@ def main(args): msgs.error('Could not determine frame types for the following files: ' + ', '.join(ps.fitstbl['frametype'][unknown_types])) - # Science files - # TODO: Include standards as well? Add a command-line option? + # Find the raw science files sci_idx = ps.fitstbl.find_frames('science') if args.sci_files is None \ else np.in1d(ps.fitstbl['filename'].data, args.sci_files) + if any(sci_idx) and not args.ignore_std: + # Include standards + sci_idx |= ps.fitstbl.find_frames('standard') + # Set the directory with the calibrations setup_calib_dir = None if args.setup_calib_dir is None \ else Path(args.setup_calib_dir).resolve() + + # For any science files, independently prep their meta data and + # associate them with the correct calibrations, if necessary. if any(sci_idx): - if args.bkg_redux: + # Generate science setup object + sci_files = ps.fitstbl.frame_paths(sci_idx) + ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name) + # NOTE: By default, groupings=True in PypeItSetup.run, meaning that + # the combination groups should be automatically set. Setting the + # combination groups is needed when standards are included and to + # automatically identify dithered observations for some + # spectrographs. + ps_sci.run(setup_only=True) + + # Limit to a single setup + if len(ps_sci.fitstbl.configs.keys()) > 1: + msgs.error('Your science/standard files come from more than one setup. Try ' + 'either ignoring the standard frames (if any are present and ' + 'auto-detected) and/or changing the list of science files.') + + # Setting the combination groups should also set the background IDs + # for dithered observations. That means we can automatically detect + # whether or not the reductions use difference imaging + bkg_redux = 'bkg_id' in ps_sci.fitstbl.keys() and any(ps_sci.fitstbl['bkg_id'] != -1) + + # If performing difference imaging, print the automatically detected + # dither pattern + if bkg_redux: + sci_only_idx = ps.fitstbl.find_frames('science', index=True) # Binning - binspectral, binspatial = parse_binning(ps.fitstbl['binning'][sci_idx][0]) + binspectral, binspatial = parse_binning(ps.fitstbl['binning'][sci_only_idx[0]]) # Plate scale # NOTE: Assumes that the platescale does not change between # detectors or between observations! platescale = ps.spectrograph.get_detector_par(1)['platescale']*binspatial # Report - print_offset_report(ps.fitstbl[sci_idx], platescale) - - # Generate science setup object - # TODO: What happens for science frames that automatically get typed as - # `arc,science,tilt` with separate calibration groups? - sci_files = ps.fitstbl.frame_paths(sci_idx) - ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name) - ps_sci.run(setup_only=True) - # Limit to a single science setup - if len(ps_sci.fitstbl.configs.keys()) > 1: - msgs.error('Your science files come from more than one setup. They must be ' - 'reduced separately.') + print_offset_report(ps.fitstbl[sci_only_idx], platescale) + + # Handle image stacking + if args.stack: + if bkg_redux: + msgs.warn('Dither pattern automatically detected for these observations. ' + 'Ignoring request to stack all observations. Image combination ' + 'and background subtraction sequences automatically set; confirm ' + 'the behavior is what you want by checking the auto-generated ' + 'pypeit file.') + else: + # Stack all of the science and standard frames + ps_sci.fitstbl['comb_id'][ps_sci.fitstbl.find_frames('science')] = 1 + ps_sci.fitstbl['comb_id'][ps_sci.fitstbl.find_frames('standard')] = 2 + + # Check that all the frames are assigned to the same calibration group + # NOTE: This is largely superfluous given the use of get_setup_calib + # in generate_sci_pyepitfile, but it's useful to keep the warning + # here. + if any(ps_sci.fitstbl['calib'] != ps_sci.fitstbl['calib'][0]): + msgs.warn('Automated configuration assigned multiple calibration groups to your ' + 'science frames. Ignoring! Assigning all frames to the same group.') + ps_sci.fitstbl['calib'] = ps_sci.fitstbl['calib'][0] if args.parent_calib_dir is not None and setup_calib_dir is None: # The parent directory has been defined, so try to find a # relevant set of existing calibrations - - # Set the calibrations directory, either provided by the user or by - # matching the available setups to that used for the science files setup_calib_dir = match_to_calibs(ps_sci, args.parent_calib_dir) + msgs.info(f'Attempting to use archived calibrations found in {setup_calib_dir}.') - elif not args.calib_only: + elif not args.calibs_only: msgs.warn('No science frames found among the files provided. Will only process ' 'calibration frames. If you have provided science frames, you can specify ' 'which ones they are using the --sci_files option.') @@ -551,22 +643,21 @@ def main(args): # multiple setups, the code will have faulted above if there # were science frames included. Otherwise, only the # calibrations will be processed and this object is only needed - # locally, within this for loop. + # locally, within this `for` loop. setup_calib_dir = redux_path / ps.par['calibrations']['calib_dir'] # Check for existing calibrations - # TODO: There may be a non-negligible overhead, but we should be - # able to use Calibrations.get_association to get the list of - # calibrations that *should* exist to figure out if we need to - # do anything. Below just checks for any calibration files... + # TODO: Although there may be a non-negligible overhead, we + # should be able to use Calibrations.get_association to get the + # list of calibrations that *should* exist to figure out if we + # need to do anything. Below just checks for *any* files in the + # relevant directory. calib_files = list(setup_calib_dir.glob('*')) if len(calib_files) > 0 and not args.overwrite_calibs: msgs.info('Calibration files already exist. Skipping calibration.') continue # Run - # TODO: What happens for science frames that automatically get - # typed as `arc,science,tilt` with separate calibration groups? pypeIt = pypeit.PypeIt(calib_pypeit_file, redux_path=str(redux_path), calib_only=True) @@ -583,11 +674,16 @@ def main(args): setup_calib_dir, ps_sci, det=args.det, + clean=args.clean, slitspatnum=args.slitspatnum, maskID=args.maskID, boxcar_radius=args.boxcar_radius, - bkg_redux=args.bkg_redux, - stack=args.stack) + snr_thresh=args.snr_thresh) + +# from pypeit.inputfiles import PypeItFile +# f = PypeItFile.from_file(sci_pypeit_file) +# embed() +# exit() # Run it pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_calibs=True) diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 7d6250df48..eec9af8490 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -274,7 +274,6 @@ def get_comb_group(self, fitstbl): # where this targ targ_idx = in_cfg & (fitstbl['target'] == targ) if 'calib' in fitstbl.keys(): - targ_calib += 1 # set different calib for different targs if 'science' in fitstbl['frametype'][targ_idx][0] or \ ('standard' in fitstbl['frametype'][targ_idx][0] and 'arc' in fitstbl['frametype'][targ_idx][0]): @@ -286,6 +285,7 @@ def get_comb_group(self, fitstbl): # find the closest (in time) science frame to the standard target close_idx = np.argmin(np.absolute(fitstbl[sci_in_cfg]['mjd'] - fitstbl[targ_idx]['mjd'][0])) fitstbl['calib'][targ_idx] = fitstbl['calib'][sci_in_cfg][close_idx] + targ_calib += 1 # how many dither patterns are used for the selected science/standard target? uniq_dithpats = np.unique(fitstbl[targ_idx]['dithpat']) diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 02b31d71d0..a23ed101de 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -723,19 +723,36 @@ def valid_configuration_values(self): """ pass + # TODO: This feels like something that should be in the PypeItMetaData + # class, not the spectrograph class. def vet_instrument(self, meta_tbl): + """ + Confirm the metadata gathered for a set of measurements are all unique + and from this spectrograph, according to the expected instrument name in + the headers of its raw data files. + + This function *only* issues warnings; no exceptions are raised. + + Args: + meta_tbl (`astropy.table.Table`_): + Table with the meta data; see + :class:`~pypeit.metadata.PypeItMetaData`. + """ + if self.header_name is None: + msgs.error(f'CODING ERROR: header_name is not defined for {self.__class__.__name__}!') if 'instrument' in meta_tbl.keys(): # Check that there is only one instrument # This could fail if one mixes is much older calibs indx = meta_tbl['instrument'].data != None instr_names = np.unique(meta_tbl['instrument'].data[indx]) if len(instr_names) != 1: - msgs.warn(f"More than one instrument in your dataset! {instr_names} \n"+ - f"Proceed with great caution...") + msgs.warn(f'More than one instrument in your dataset! {instr_names} \n' + 'Proceed with great caution...') # Check the name if instr_names[0] != self.header_name: - msgs.warn(f"Your header's instrument name doesn't match the expected one! {instr_names[0]}, {self.header_name}\n"+ - f"You may have chosen the wrong PypeIt spectrograph name") + msgs.warn('The instrument name in the headers of the raw files do not match the ' + f'expected one! Found {instr_names[0]}, expected {self.header_name}. ' + 'You may have chosen the wrong PypeIt spectrograph name!') def config_independent_frames(self): From 6bf4bb1735a486d9f598e4dcdebced8d4d4ffbdb Mon Sep 17 00:00:00 2001 From: rcooke Date: Tue, 11 Apr 2023 10:27:12 +0100 Subject: [PATCH 210/308] arx flex --- pypeit/core/flexure.py | 64 ++++++++++++++++++++++++++++++++++-------- 1 file changed, 52 insertions(+), 12 deletions(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index d290f16570..2ee45abbdc 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -631,14 +631,8 @@ def spec_flexure_slit(slits, slitord, slit_bpm, sky_file, method="boxcar", speco # Determine the method slit_cen = True if (specobjs is None) or (method == "slitcen") else False - # Load Archive. Save the fwhm to avoid the performance hit from calling it on the archive sky spectrum - # multiple times - sky_spectrum = data.load_sky_spectrum(sky_file) - # get arxiv sky spectrum resolution (FWHM in pixels) - arx_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) - if arx_fwhm_pix is None: - msgs.error('Failed to measure the spectral FWHM of the archived sky spectrum. ' - 'Not enough sky lines detected.') + # Load Archival sky spectrum + sky_spectrum, arx_fwhm_pix = get_archive_spectrum(sky_file) # Initialise the flexure list for each slit flex_list = [] @@ -671,7 +665,7 @@ def spec_flexure_slit(slits, slitord, slit_bpm, sky_file, method="boxcar", speco if wv_calib is not None: iwv = np.where(wv_calib.spat_ids == slits.spat_id[islit])[0][0] # Allow for wavelength failures - if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: + if wv_calib.wv_fits is not None and wv_calib.wv_fits[iwv].fwhm is not None: spec_fwhm_pix = wv_calib.wv_fits[iwv].fwhm if slit_cen: @@ -812,9 +806,58 @@ def spec_flexure_slit_global(sciImg, waveimg, global_sky, par, slits, slitmask, return flex_list +def get_archive_spectrum(sky_file): + """ Load an archival sky spectrum + + Args: + sky_file (:obj:`str`): + Sky file + + Returns: + (:obj:`XSpectrum1D`): Sky spectrum + (float): FWHM of the sky lines in pixels. + """ + # Load Archive. Save the fwhm to avoid the performance hit from calling it on the archive sky spectrum + # multiple times + sky_spectrum = data.load_sky_spectrum(sky_file) + # get arxiv sky spectrum resolution (FWHM in pixels) + arx_fwhm_pix = autoid.measure_fwhm(sky_spectrum.flux.value, sigdetect=4., fwhm=4.) + if arx_fwhm_pix is None: + msgs.error('Failed to measure the spectral FWHM of the archived sky spectrum. ' + 'Not enough sky lines detected.') + return sky_spectrum, arx_fwhm_pix + + def get_sky_spectrum(sciimg, ivar, waveimg, thismask, global_sky, box_radius, slits, trace_spat, pypeline, det): """ Obtain a boxcar extraction of the sky spectrum + Args: + sciimg (`numpy.ndarray`_): + Science image - shape (nspec, nspat) + ivar (`numpy.ndarray`_): + Inverse variance of the science image - shape (nspec, nspat) + waveimg (`numpy.ndarray`_): + Wavelength image - shape (nspec, nspat) + thismask (`numpy.ndarray`_): + Good pixel mask (True=good) that indicates the pixels that should be included in the boxcar extraction + global_sky (`numpy.ndarray`_): + 2D array of the global_sky fit - shape (nspec, nspat) + box_radius (float): + Radius of the boxcar extraction (in pixels) + slits (:class:`~pypeit.slittrace.SlitTraceSet`): + Slit trace set + trace_spat (`numpy.ndarray`_): + Spatial pixel values (usually the center of each slit) where the sky spectrum will be extracted. + The shape of this array should be (nspec, nslits) + pypeline (:obj:`str`): + Name of the ``PypeIt`` pipeline method. Allowed options are + MultiSlit, Echelle, or IFU. + det (:obj:`str`): + The name of the detector or mosaic from which the spectrum will be + extracted. For example, DET01. + + Returns: + (:obj:`XSpectrum1D`): Sky spectrum """ spec = specobj.SpecObj(PYPELINE=pypeline, SLITID=-1, DET=str(det)) spec.trace_spec = np.arange(slits.nspec) @@ -1680,6 +1723,3 @@ def qa_plots(self, plot_dir:str, root:str): pdf.close() - - - From ffa3e056d2626805b303af14403284ef330ec2d3 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 11 Apr 2023 12:35:16 -0700 Subject: [PATCH 211/308] workon coadd2d setup script --- pypeit/inputfiles.py | 89 ++++++++++++++++++++++++++++ pypeit/par/pypeitpar.py | 29 +++++---- pypeit/pypeit.py | 82 +++++++++++++------------ pypeit/scripts/__init__.py | 1 + pypeit/scripts/coadd_2dspec.py | 19 +++--- pypeit/scripts/ql.py | 14 ++++- pypeit/spectrographs/spectrograph.py | 67 +++++++++++++++------ setup.cfg | 1 + 8 files changed, 219 insertions(+), 83 deletions(-) diff --git a/pypeit/inputfiles.py b/pypeit/inputfiles.py index 7809838553..1887c17f15 100644 --- a/pypeit/inputfiles.py +++ b/pypeit/inputfiles.py @@ -18,6 +18,8 @@ from pypeit import utils from pypeit import msgs, __version__ +from pypeit.spectrographs.util import load_spectrograph +from pypeit.par.pypeitpar import PypeItPar from IPython import embed @@ -477,6 +479,55 @@ def write(self, input_file, version_override=None, date_override=None): msgs.info(f'{self.flavor} input file written to: {input_file}') + def get_spectrograph(self): + """ + Use the configuration lines to instantiate the relevant + :class:`~pypeit.spectrographs.spectrograph.Spectrograph` subclass. + + Returns: + :class:`~pypeit.spectrographs.spectrograph.Spectrograph`: + Spectrograph subclass instance using the relevant configuration + parameter. + + Raises: + :class:`~pypeit.pypmsgs.PypeItError`: Raised if the relevant + configuration parameter is not available. + """ + if 'rdx' not in self.config.keys() or 'spectrograph' not in self.config['rdx'].keys(): + msgs.error('Cannot define spectrograph. Configuration file missing \n' + ' [rdx]\n spectrograph=\n entry.') + return load_spectrograph(self.config['rdx']['spectrograph']) + + def get_pypeitpar(self, config_specific_file=None): + """ + Use the configuration lines and a configuration-specific example file to + build the full parameter set. + + Args: + config_specific_file (:obj:`str`, `Path`_, optional): + The file to use to generate the default, configuration-specific + parameters. If None and instance contains filenames, use the + first file. If None and instance provides no filenames, + configuration-specific parameters are not set. + + Returns: + :obj:`tuple`: A tuple with the spectrograph instance, the + parameters, and the file name used to generate the + configuration-specific parameters. That latter will be None if the + no example file was available. + """ + spec = self.get_spectrograph() + + if config_specific_file is None: + _files = self.filenames + if _files is not None: + config_specific_file = _files[0] + + spec_par = spec.default_pypeit_par() if config_specific_file is None \ + else spec.config_specific_par(config_specific_file) + par = PypeItPar.from_cfg_lines(cfg_lines=spec_par.to_config(), + merge_with=(self.cfg_lines,)) + return spec, par, config_specific_file class PypeItFile(InputFile): @@ -518,6 +569,44 @@ def frametypes(self): """ return {row['filename']:row['frametype'] for row in self.data} + def get_pypeitpar(self): + """ + Override the base class function to use files with specific frametypes + for the config-specific parameters. + + Returns: + :obj:`tuple`: A tuple with the spectrograph instance, the + parameters, and the file name used to generate the + configuration-specific parameters. That latter will be None if the + no example file was available. + """ + if 'frametype' not in self.data.keys(): + msgs.error('PypeIt file must provide the frametype column.') + + # NOTE: self.filenames is a property function that generates the full + # set of file names each time they are requested. However, this should + # only be done once in the code below because as soon as a relevant file + # is found the loops are discontinued using `break`. + + config_specific_file = None + for idx, row in enumerate(self.data): + if 'science' in row['frametype'] or 'standard' in row['frametype']: + config_specific_file = self.filenames[idx] + break + + # If no science/standard frames available, search for an arc/trace + # instead. + if config_specific_file is None: + for idx, row in enumerate(self.data): + if 'arc' in row['frametype'] or 'trace' in row['frametype']: + config_specific_file = self.filenames[idx] + break + + if config_specific_file is not None: + self.get_spectrograph()._check_extensions(config_specific_file) + return super().get_pypeitpar(config_specific_file=config_specific_file) + + class SensFile(InputFile): """Child class for the Sensitivity input file """ diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 5ed2496d1e..ba9b3c576b 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -74,7 +74,6 @@ def __init__(self, existing_par=None, foo=None): from pypeit.par.parset import ParSet from pypeit.par import util from pypeit.core.framematch import FrameTypeBitMask -from pypeit.inputfiles import PypeItFile from pypeit import msgs @@ -4870,17 +4869,17 @@ def validate(self): pass -def ql_is_on(config:ConfigObj): - """ Check whether QL is set to "on" - - Args: - config (configobj.ConfigObj): - parameters - - Returns: - bool: True if QL is on - """ - try: - return config['rdx']['quicklook'] - except: - return False \ No newline at end of file +#def ql_is_on(config:ConfigObj): +# """ Check whether QL is set to "on" +# +# Args: +# config (configobj.ConfigObj): +# parameters +# +# Returns: +# bool: True if QL is on +# """ +# try: +# return config['rdx']['quicklook'] +# except: +# return False \ No newline at end of file diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 038e7372d9..b0a0de9cec 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -31,12 +31,12 @@ from pypeit import spec2dobj from pypeit.core import qa from pypeit import specobjs -from pypeit.spectrographs.util import load_spectrograph +#from pypeit.spectrographs.util import load_spectrograph from pypeit import slittrace from pypeit import utils from pypeit.history import History -from pypeit.par import PypeItPar -from pypeit.par.pypeitpar import ql_is_on +#from pypeit.par import PypeItPar +#from pypeit.par.pypeitpar import ql_is_on from pypeit.metadata import PypeItMetaData from pypeit.manual_extract import ManualExtractionObj from pypeit.core import skysub @@ -98,41 +98,47 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse_calibs=False, self.pypeItFile = inputfiles.PypeItFile.from_file(pypeit_file) self.calib_only = calib_only - # Spectrograph - spectrograph_name = self.pypeItFile.config['rdx']['spectrograph'] - self.spectrograph = load_spectrograph(spectrograph_name) - msgs.info('Loaded spectrograph {0}'.format(self.spectrograph.name)) - - # -------------------------------------------------------------- - # Get the full set of PypeIt parameters - # - Grab a science or standard file for configuration specific parameters - - config_specific_file = None - for idx, row in enumerate(self.pypeItFile.data): - if ('science' in row['frametype']) or ('standard' in row['frametype']): - config_specific_file = self.pypeItFile.filenames[idx] - # search for arcs, trace if no scistd was there - if config_specific_file is None: - for idx, row in enumerate(self.pypeItFile.data): - if ('arc' in row['frametype']) or ('trace' in row['frametype']): - config_specific_file = self.pypeItFile.filenames[idx] - if config_specific_file is not None: - msgs.info( - 'Setting configuration-specific parameters using {0}'.format(os.path.split(config_specific_file)[1])) - self.spectrograph._check_extensions(config_specific_file) - spectrograph_cfg_lines = self.spectrograph.config_specific_par(config_specific_file).to_config() - - # Addtional parameters, including QL - merge = (self.pypeItFile.cfg_lines,) - if ql_is_on(self.pypeItFile.config): - merge = (self.spectrograph.ql_par(),) + merge - - # - Build the full set, merging with any user-provided - # parameters - self.par = PypeItPar.from_cfg_lines( - cfg_lines=spectrograph_cfg_lines, - merge_with=merge) - msgs.info('Built full PypeIt parameter set.') + # Build the spectrograph and the parameters + self.spectrograph, self.par, config_specific_file = self.pypeItFile.get_pypeitpar() + msgs.info(f'Loaded spectrograph {self.spectrograph.name}') + msgs.info('Setting configuration-specific parameters using ' + f'{os.path.split(config_specific_file)[1]}.') + +# # Spectrograph +# spectrograph_name = self.pypeItFile.config['rdx']['spectrograph'] +# self.spectrograph = load_spectrograph(spectrograph_name) +# +# # -------------------------------------------------------------- +# # Get the full set of PypeIt parameters +# # - Grab a science or standard file for configuration specific parameters +# +# config_specific_file = None +# for idx, row in enumerate(self.pypeItFile.data): +# if ('science' in row['frametype']) or ('standard' in row['frametype']): +# config_specific_file = self.pypeItFile.filenames[idx] +# # search for arcs, trace if no scistd was there +# if config_specific_file is None: +# for idx, row in enumerate(self.pypeItFile.data): +# if ('arc' in row['frametype']) or ('trace' in row['frametype']): +# config_specific_file = self.pypeItFile.filenames[idx] +# if config_specific_file is not None: +# msgs.info( +# 'Setting configuration-specific parameters using {0}'.format(os.path.split(config_specific_file)[1])) +# self.spectrograph._check_extensions(config_specific_file) +# spectrograph_cfg_lines = self.spectrograph.config_specific_par(config_specific_file).to_config() +# +# # Addtional parameters, including QL +# merge = (self.pypeItFile.cfg_lines,) +## # NOTE: Moved this into the ql script +## if ql_is_on(self.pypeItFile.config): +## merge = (self.spectrograph.ql_par(),) + merge +# +# # - Build the full set, merging with any user-provided +# # parameters +# self.par = PypeItPar.from_cfg_lines( +# cfg_lines=spectrograph_cfg_lines, +# merge_with=merge) +# msgs.info('Built full PypeIt parameter set.') # Check the output paths are ready if redux_path is not None: diff --git a/pypeit/scripts/__init__.py b/pypeit/scripts/__init__.py index 2668b2d4aa..5fbbf5b033 100644 --- a/pypeit/scripts/__init__.py +++ b/pypeit/scripts/__init__.py @@ -34,6 +34,7 @@ from pypeit.scripts import run_pypeit from pypeit.scripts import sensfunc from pypeit.scripts import setup +from pypeit.scripts import setup_coadd2d from pypeit.scripts import show_1dspec from pypeit.scripts import show_2dspec from pypeit.scripts import show_arxiv diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 4b65e77154..67a44c3a7b 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -133,16 +133,17 @@ def main(args): # TODO this needs to be adjusted if we want to pass (as inline command) mosaic detectors parset['rdx']['detnum'] = [int(d) for d in args.det.split(',')] + # TODO: Not used in the script # Get headers (if possible) and base names - spec1d_files = [files.replace('spec2d', 'spec1d') for files in spec2d_files] - head1d = None - for spec1d_file in spec1d_files: - if Path(spec1d_file).exists(): - head1d = fits.getheader(spec1d_file) - break - if head1d is None: - msgs.warn("No 1D spectra so am generating a dummy header for output") - head1d = io.initialize_header() +# spec1d_files = [files.replace('spec2d', 'spec1d') for files in spec2d_files] +# head1d = None +# for spec1d_file in spec1d_files: +# if Path(spec1d_file).exists(): +# head1d = fits.getheader(spec1d_file) +# break +# if head1d is None: +# msgs.warn("No 1D spectra so am generating a dummy header for output") +# head1d = io.initialize_header() head2d = fits.getheader(spec2d_files[0]) if args.basename is None: diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index ed7f1e5e63..700cc68b8d 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -217,6 +217,9 @@ def generate_sci_pypeitfile(redux_path:str, # std_spec1d = std_files[0] # TODO: Enable the user to provide the standard spec1d file directly? + # Get the quicklook parameters to use for this spectrograph + spec_cfg = ps_sci.spectrograph.ql_par() + # Configure cfg = {} cfg['rdx'] = {} @@ -224,6 +227,8 @@ def generate_sci_pypeitfile(redux_path:str, cfg['rdx']['redux_path'] = str(sci_dir) cfg['rdx']['quicklook'] = True if det is not None: + # TODO: Need to check that this works given how det is set by the + # argument parser cfg['rdx']['detnum'] = det # TODO: Allow for input configurations? @@ -282,10 +287,15 @@ def generate_sci_pypeitfile(redux_path:str, if std_spec1d is not None: cfg['reduce']['findobj'] = {'std_spec1d': std_spec1d} + # Merge the spectrograph specific QL parameters with the ones above; the ones + # above take precedence. + cfg_lines = configobj.ConfigObj(spec_cfg) + cfg_lines.merge(configobj.ConfigObj(cfg)) + cfg_lines = cfg_lines.write() + # Write the pypeit file (note this returns the filename, not the list, # because of the [0] at the end of the call) - return ps_sci.fitstbl.write_pypeit(output_path=sci_dir, - cfg_lines=configobj.ConfigObj(cfg).write(), + return ps_sci.fitstbl.write_pypeit(output_path=sci_dir, cfg_lines=cfg_lines, write_bkg_pairs=True, configs=setup, config_subdir=False)[0] diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index a23ed101de..167e10cba7 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -236,25 +236,54 @@ def ql_par(self): Returns: list: List of QL specific parameters. """ - # Calibration + misc - ql_cfg = ['[rdx]', - ' ignore_bad_headers = True', - '[baseprocess]', - 'use_biasimage = False', - '[calibrations]', - ' raise_chk_error = False', # This allows for science frames only and "cooked" calibrations - ' [[flatfield]]', - ' saturated_slits = mask'] - # Reduction parameters - ql_cfg += ['[scienceframe]', - ' [[process]]', - ' mask_cr = False', - '[reduce]', - ' [[extraction]]', - ' skip_optimal = True', - ' [[findobj]]', - ' skip_second_find = True'] - return ql_cfg + return dict( + # Calibration + misc + rdx = dict( + ignore_bad_headers = True + ), + baseprocess = dict( + use_biasimage = False + ), + calibrations = dict( + # This allows for science frames only and "cooked" calibrations + raise_chk_error = False, + flatfield = dict( + saturated_slits = 'mask' + ) + ), + scienceframe = dict( + process = dict( + mask_cr = False + ) + ), + # Reduction parameters + reduce = dict( + extraction = dict( + skip_optimal = True + ), + findobj = dict( + skip_second_find = True + ) + ) + ) + +# ql_cfg = ['[rdx]', +# ' ignore_bad_headers = True', +# '[baseprocess]', +# 'use_biasimage = False', +# '[calibrations]', +# ' raise_chk_error = False', +# ' [[flatfield]]', +# ' saturated_slits = mask'] +# ql_cfg += ['[scienceframe]', +# ' [[process]]', +# ' mask_cr = False', +# '[reduce]', +# ' [[extraction]]', +# ' skip_optimal = True', +# ' [[findobj]]', +# ' skip_second_find = True'] +# return ql_cfg def _check_extensions(self, filename): diff --git a/setup.cfg b/setup.cfg index d56413845b..14a5c04984 100644 --- a/setup.cfg +++ b/setup.cfg @@ -120,6 +120,7 @@ console_scripts = run_pypeit = pypeit.scripts.run_pypeit:RunPypeIt.entry_point pypeit_sensfunc = pypeit.scripts.sensfunc:SensFunc.entry_point pypeit_setup = pypeit.scripts.setup:Setup.entry_point + pypeit_setup_coadd2d = pypeit.scripts.setup_coadd2d:SetupCoAdd2D.entry_point # pypeit_show_arxiv opens a matplotlib window, but not ginga pypeit_show_arxiv = pypeit.scripts.show_arxiv:ShowArxiv.entry_point # pypeit_show_wvcalib uses linetools to open a json file, but uses From 41b6eda7b1387b146b9a52c6fe72189c4f4e35d9 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Tue, 11 Apr 2023 11:03:10 -1000 Subject: [PATCH 212/308] fix bug in pypeit/core/flexure.py --- pypeit/core/flexure.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index 321501e0bd..1a54c03ce3 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -562,7 +562,8 @@ def spec_flex_shift_local(slits, slitord, specobjs, islit, sky_spectrum, arx_fwh msgs.warn(f'Flexure shift calculation failed for {len(return_later_sobjs)} ' f'object(s) in slit {slits.spat_id[islit]}') # get the median shift among all objects in this slit - idx_med_shift = np.where(flex_dict['shift'] == np.median(flex_dict['shift']))[0][0] + idx_med_shift = np.where(flex_dict['shift'] == np.percentile(flex_dict['shift'], 50, + interpolation='nearest'))[0][0] msgs.info(f"Median value of the measured flexure shifts in this slit, equal to " f"{flex_dict['shift'][idx_med_shift]:.3f} pixels, will be used") From f663c1f887c2f8457688d39a8412a8f328e4c3e1 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 11 Apr 2023 15:19:28 -0700 Subject: [PATCH 213/308] starting edits to coadd2d --- pypeit/coadd2d.py | 42 ++++++++++++ pypeit/images/combineimage.py | 4 ++ pypeit/scripts/coadd_2dspec.py | 105 +++++++---------------------- pypeit/scripts/ql.py | 2 + pypeit/scripts/setup_coadd2d.py | 114 ++++++++++++++++++++++++++++++++ pypeit/utils.py | 29 ++++++++ 6 files changed, 216 insertions(+), 80 deletions(-) create mode 100644 pypeit/scripts/setup_coadd2d.py diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index 6e441ef443..dfb2643dfb 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -222,6 +222,48 @@ def __init__(self, spec2d, spectrograph, par, det=1, offsets=None, weights='auto # If smoothing is not input, smooth by 10% of the maximum spectral dimension self.sn_smooth_npix = sn_smooth_npix if sn_smooth_npix is not None else 0.1*self.nspec_max + @staticmethod + def default_par(spectrograph, inp_cfg=None, det=None, slits=None): + """ + Get the default 2D coadding parameters. + + Args: + spectrograph (:obj:`str`): + The PypeIt-specific name of the spectrograph used to collect the + data. + inp_cfg (:obj:`dict`, optional): + An existing set of parameters to add to. + det (:obj:`list`, :obj:`str`, :obj:`tuple`, optional): + Limit the coadding to this (set of) detector(s)/detector mosaic(s) + slits (:obj:`list`, :obj:`str`, optional): + Limit the coadding to this (set of) slit(s) + + Returns: + :obj:`dict`: The default set of parameters. + """ + cfg = dict(rdx=dict(spectrograph=spectrograph)) if inp_cfg is None else dict(inp_cfg) + if det is not None: + cfg['rdx']['detnum'] = det + if slits is not None: + utils.add_sub_dict(cfg, 'coadd2d') + cfg['coadd2d']['only_slits'] = slits + # TODO: Heliocentric for coadd2d needs to be thought through. Currently + # turning it off. + utils.add_sub_dict(cfg, 'calibrations') + utils.add_sub_dict(cfg['calibrations'], 'wavelengths') + cfg['calibrations']['wavelengths']['refframe'] = 'observed' + # TODO: Flexure correction for coadd2d needs to be thought through. + # Currently turning it off. + utils.add_sub_dict(cfg, 'flexure') + cfg['flexure']['spec_method'] = 'skip' + # TODO: This is currently the default for 2d coadds, but we need a way + # to toggle it on/off + utils.add_sub_dict(cfg, 'reduce') + utils.add_sub_dict(cfg['reduce'], 'findobj') + cfg['reduce']['findobj']['skip_skysub'] = True + + return cfg + def good_slitindx(self, only_slits=None): """ This provides an array of index of slits in the un-coadded frames that are considered good for 2d coadding. diff --git a/pypeit/images/combineimage.py b/pypeit/images/combineimage.py index fbce070053..4b9514079c 100644 --- a/pypeit/images/combineimage.py +++ b/pypeit/images/combineimage.py @@ -226,9 +226,11 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr # Read noise squared image if pypeitImage.rn2img is not None: rn2img_stack[kk] = pypeitImage.rn2img * scl_stack[kk]**2 +# rn2img_stack[kk] = pypeitImage.rn2img # Processing variance image if pypeitImage.base_var is not None: basev_stack[kk] = pypeitImage.base_var * scl_stack[kk]**2 +# basev_stack[kk] = pypeitImage.base_var / scl_stack[kk]**2 # Final mask for this image # TODO: This seems kludgy to me. Why not just pass ignore_saturation # to process_one and ignore the saturation when the mask is actually @@ -277,6 +279,7 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr comb_rn2, comb_basev = var_list_out comb_rn2[gpm] /= comb_scl[gpm]**2 comb_basev[gpm] /= comb_scl[gpm]**2 +# comb_basev[gpm] *= comb_scl[gpm]**2 elif combine_method == 'median': bpm_stack = np.logical_not(gpm_stack) nstack = np.sum(gpm_stack, axis=0) @@ -293,6 +296,7 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr # in mean (sum(variance_i)/n^2) to standard variance in median) comb_rn2[gpm] *= np.pi/2/nstack[gpm]**2/comb_scl[gpm]**2 comb_basev[gpm] *= np.pi/2/nstack[gpm]**2/comb_scl[gpm]**2 +# comb_basev[gpm] *= np.pi/2/nstack[gpm]**2 * comb_scl[gpm]**2 else: # NOTE: Given the check at the beginning of the function, the code # should *never* make it here. diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 67a44c3a7b..1bba293615 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -32,17 +32,9 @@ def get_parser(cls, width=None): parser = super().get_parser(description='Coadd 2D spectra produced by PypeIt', width=width) - parser.add_argument("--file", type=str, default=None, help="File to guide 2d coadds") - parser.add_argument('--det', default=None, type=str, - help="1-indexed detector or list of detectors that the user wants to" - "coadd. If None, all the detectors are coadded. If the spec2d are" - "mosaiced and the user wants to restrict the coadd to only selected" - "mosaics, use the parameter detnum in the coadd2d file as done in" - "run_pypeit") - parser.add_argument("--obj", type=str, default=None, - help="Object name in lieu of extension, e.g if the spec2d files are " - "named 'spec2d_J1234+5678_GNIRS_2017Mar31T085412.181.fits' then " - "use --obj J1234+5678") + parser.add_argument('coadd2d_file', type=str, default=None, + help='File to guide 2d coadds') + parser.add_argument("--show", default=False, action="store_true", help="Show the reduction steps. Equivalent to the -s option when " "running pypeit.") @@ -62,7 +54,6 @@ def get_parser(cls, width=None): "(spat_samp_fact > 1.0) by this sampling factor, i.e. units of " "spat_samp_fact are pixels.") parser.add_argument("--debug", default=False, action="store_true", help="show debug plots?") - parser.add_argument("--only_slits", type=str, default=None, help="Only coadd the following slits") parser.add_argument('-v', '--verbosity', type=int, default=1, help='Verbosity level between 0 [none] and 2 [all]. Default: 1. ' 'Level 2 writes a log with filename coadd_2dspec_YYYYMMDD-HHMM.log') @@ -82,69 +73,30 @@ def main(args): # Set the verbosity, and create a logfile if verbosity == 2 msgs.set_logfile_and_verbosity('coadd_2dspec', args.verbosity) - #msgs.info('PATH =' + os.getcwd()) # Load the file - if args.file is not None: - # Read - coadd2dFile = inputfiles.Coadd2DFile.from_file(args.file) - # Parse - spectrograph_name = coadd2dFile.config['rdx']['spectrograph'] - config_lines = coadd2dFile.cfg_lines - spec2d_files = coadd2dFile.filenames - - # Continue - #spectrograph_name, config_lines, spec2d_files, spec2d_opts \ - # = io.read_spec2d_file(args.file, filetype="coadd2d") - spectrograph = load_spectrograph(spectrograph_name) - - # Parameters - # TODO: Shouldn't this reinstantiate the same parameters used in - # the PypeIt run that extracted the objects? Why are we not - # just passing the pypeit file? - # JFH: The reason is that the coadd2dfile may want different reduction parameters - # DP: I think config_specific_par() is more appropriate here. default_pypeit_par() - # is included in config_specific_par() - # NOTE `config_specific_par` works with the spec2d files because we construct the header - # of those files to include all the relevant keywords from the raw file. - spectrograph_cfg_lines = spectrograph.config_specific_par(spec2d_files[0]).to_config() - parset = par.PypeItPar.from_cfg_lines(cfg_lines=spectrograph_cfg_lines, - merge_with=(config_lines,)) - - elif args.obj is not None: - # TODO: We should probably be reading the pypeit file and using - # those parameters here rather than using the default parset. - - # TODO: This needs to define the science path - spec2d_files = glob.glob('./Science/spec2d_*' + args.obj + '*') - head0 = fits.getheader(spec2d_files[0]) - spectrograph_name = head0['PYP_SPEC'] - spectrograph = load_spectrograph(spectrograph_name) - # NOTE `config_specific_par` works with the spec2d files because we construct the header - # of those files to include all the relevant keywords from the raw file. - spectrograph_cfg_lines = spectrograph.config_specific_par(spec2d_files[0]).to_config() - parset = par.PypeItPar.from_cfg_lines(cfg_lines=spectrograph_cfg_lines) - else: - return msgs.error('You must provide either a coadd2d file (--file) or an object name (--obj)') - - # If detector was passed as an argument override whatever was in the coadd2d_file - if args.det is not None: - msgs.info("Restricting reductions to detector={}".format(args.det)) - # parset['rdx']['detnum'] = par.util.eval_tuple(args.det.split(',')) - # TODO this needs to be adjusted if we want to pass (as inline command) mosaic detectors - parset['rdx']['detnum'] = [int(d) for d in args.det.split(',')] - - # TODO: Not used in the script - # Get headers (if possible) and base names -# spec1d_files = [files.replace('spec2d', 'spec1d') for files in spec2d_files] -# head1d = None -# for spec1d_file in spec1d_files: -# if Path(spec1d_file).exists(): -# head1d = fits.getheader(spec1d_file) -# break -# if head1d is None: -# msgs.warn("No 1D spectra so am generating a dummy header for output") -# head1d = io.initialize_header() + coadd2dFile = inputfiles.Coadd2DFile.from_file(args.coadd2d_file) + spectrograph, parset, _ = coadd2dFile.get_pypeitpar() + + # Check some of the parameters + # TODO Heliocentric for coadd2d needs to be thought through. Currently turning it off. + if parset['calibrations']['wavelengths']['refframe'] != 'observed': + msgs.warn('Wavelength reference frame shift (e.g., heliocentric correction) not yet ' + 'fully developed. Ignoring input and setting "refframe = observed".') + parset['calibrations']['wavelengths']['refframe'] = 'observed' + # TODO Flexure correction for coadd2d needs to be thought through. Currently turning it off. + if parset['flexure']['spec_method'] != 'skip': + msgs.warn('Spectroscopic flexure correction not yet fully developed. Skipping.') + parset['flexure']['spec_method'] = 'skip' + # TODO This is currently the default for 2d coadds, but we need a way to toggle it on/off + if not parset['reduce']['findobj']['skip_skysub']: + msgs.warn('Must skip sky subtraction when finding objects (i.e., sky should have ' + 'been subtracted during primary reduction procedure). Skipping.') + parset['reduce']['findobj']['skip_skysub'] = True + + # Set the file paths + spec2d_files = coadd2dFile.filenames + # Get the output basename head2d = fits.getheader(spec2d_files[0]) if args.basename is None: #TODO Fix this, currently does not work if target names have - or _ @@ -157,13 +109,6 @@ def main(args): else: basename = args.basename - - # TODO Heliocentric for coadd2d needs to be thought through. Currently turning it off. - parset['calibrations']['wavelengths']['refframe'] = 'observed' - # TODO Flexure correction for coadd2d needs to be thought through. Currently turning it off. - parset['flexure']['spec_method'] = 'skip' - # TODO This is currently the default for 2d coadds, but we need a way to toggle it on/off - parset['reduce']['findobj']['skip_skysub'] = True # Write the par to disk par_outfile = basename+'_coadd2d.par' print("Writing the parameters to {}".format(par_outfile)) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 700cc68b8d..f4160e13bf 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -217,6 +217,8 @@ def generate_sci_pypeitfile(redux_path:str, # std_spec1d = std_files[0] # TODO: Enable the user to provide the standard spec1d file directly? + # TODO: Push this stuff into a function in par/pypeitpar.py + # Get the quicklook parameters to use for this spectrograph spec_cfg = ps_sci.spectrograph.ql_par() diff --git a/pypeit/scripts/setup_coadd2d.py b/pypeit/scripts/setup_coadd2d.py new file mode 100644 index 0000000000..0df7f445c8 --- /dev/null +++ b/pypeit/scripts/setup_coadd2d.py @@ -0,0 +1,114 @@ +""" +Script for preparing a 2d coadds configuration file. + +.. include common links, assuming primary doc root is up one directory +.. include:: ../include/links.rst +""" + +from pypeit.scripts import scriptbase + + +class SetupCoAdd2D(scriptbase.ScriptBase): + + @classmethod + def get_parser(cls, width=None): + parser = super().get_parser( + description='Prepare a configuration file for performing 2D coadds', width=width) + + parser.add_argument('pypeit_file', type=str, default=None, help='PypeIt reduction file') + parser.add_argument('--keep_par', dest='clean_par', default=True, action='store_false', + help='Do not propagate any parameters from the pypeit file to the ' + 'coadd2d file(s). If not set, only the required parameters and ' + 'their default values are included in the output file(s).') + parser.add_argument('--obj', type=str, nargs='+', + help='Limit the coadd2d files created to observations of the ' + 'specified target. If not provided, a coadd2D file is written ' + 'for each target found in the Science directory. The target ' + 'names are included in the PypeIt spec2d file names.' + 'For example, the target for spec2d file ' + '"spec2d_cN20170331S0216-pisco_GNIRS_20170331T085412.181.fits" ' + 'is "pisco".') + parser.add_argument('--det', type=str, nargs='+', + help='A space-separated set of detectors or detector mosaics to ' + 'coadd. By default, *all* detectors or default mosaics for ' + 'this instrument will be coadded. Detectors in a mosaic must ' + 'be a mosaic "allowed" by PypeIt and should be provided as ' + 'comma-separated integers (with no spaces). For example, to ' + 'separately coadd detectors 1 and 5 for Keck/DEIMOS, you would ' + 'use --det 1 5; to coadd mosaics made up of detectors 1,5 and ' + '3,7, you would use --det 1,5 3,7') + parser.add_argument('--only_slits', type=str, nargs='+', + help='A space-separated set of slits to coadd. If not provided, all ' + 'slits are coadded.') + + return parser + + @staticmethod + def main(args): + + from pathlib import Path + + from IPython import embed + + import numpy as np + + from astropy.table import Table + + from pypeit import msgs + from pypeit import inputfiles + from pypeit.coadd2d import CoAdd2D + + # Read the pypeit file + pypeitFile = inputfiles.PypeItFile.from_file(args.pypeit_file) + # Get the spectrograph instance and the parameters used + spec, par, _ = pypeitFile.get_pypeitpar() + # Get the Science directory used + sci_dir = Path(par['rdx']['redux_path']).resolve() / par['rdx']['scidir'] + if not sci_dir.exists(): + msgs.error(f'Science directory not found: {sci_dir}\n') + + # Find all the spec2d files: + spec2d_files = sorted(sci_dir.glob('spec2d*')) + if len(spec2d_files) == 0: + msgs.error(f'No spec2d files found in {sci_dir}.') + + # Get the set of objects + # TODO: Direct parsing of the filenames will be wrong if any of the + # reduced files have dashes in them or if the objects have underscores. + objects = np.unique(pypeitFile.data['target'].data if 'target' in pypeitFile.data.keys() + else [f.name.split('-')[1].split('_')[0] for f in spec2d_files]) + if args.obj is not None: + # Limit to the selected objects + _objects = [o for o in objects if o in args.obj] + # Check some were found + if len(_objects) == 0: + msgs.error('Unable to find relevant objects. Unique objects are ' + f'{objects.tolist()}; you requested {args.obj}.') + objects = _objects + + # Match spec2d files to objects + object_spec2d_files = {} + for obj in objects: + object_spec2d_files[obj] = [f for f in spec2d_files if obj in f.name] + if len(object_spec2d_files[obj]) == 0: + msgs.warn(f'No spec2d files found for target={obj}.') + del object_spec2d_files[obj] + + # Check spec2d files exist for the selected objects + if len(object_spec2d_files.keys()) == 0: + msgs.error('Unable to match any spec2d files to objects.') + + # Build the default parameters + cfg = CoAdd2D.default_par(spec.name, + inp_cfg=None if args.clean_par else dict(pypeitFile.config), + det=args.det, slits=args.only_slits) + + # Create a coadd2D file for each object + # NOTE: Below expect all spec2d files have the same path + for obj, files in object_spec2d_files.items(): + tbl = Table() + tbl['filename'] = [f.name for f in files] + ofile = args.pypeit_file.replace('.pypeit', f'_{obj}.coadd2d') + inputfiles.Coadd2DFile(config=cfg, file_paths=[str(sci_dir)], + data_table=tbl).write(ofile) + diff --git a/pypeit/utils.py b/pypeit/utils.py index 7e0ea70c31..be60a2ad52 100644 --- a/pypeit/utils.py +++ b/pypeit/utils.py @@ -1024,6 +1024,35 @@ def yamlify(obj, debug=False): return obj +def add_sub_dict(d, key): + """ + If a key is not present in the provided dictionary, add it as a new nested + dictionary. + + Args: + d (:obj:`dict`): + Dictionary to alter + key (:obj:`str`): + Key to add + + Examples: + >>> d = {} + >>> add_sub_dict(d, 'test') + >>> d + {'test': {}} + >>> d['test'] = 'this' + >>> add_sub_dict(d, 'test') + >>> d + {'test': 'this'} + >>> add_sub_dict(d, 'and') + >>> d['and'] = 'that' + >>> d + {'test': 'this', 'and': 'that'} + """ + if key not in d.keys(): + d[key] = {} + + def save_pickle(fname, obj): """Save an object to a python pickle file From 52255e2aaf9bf0cebee97a6b666ec0b66002c1bd Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Tue, 11 Apr 2023 16:46:44 -0700 Subject: [PATCH 214/308] Simplification --- pypeit/spectrographs/keck_deimos.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 34b8e390ea..50e9e91347 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -213,10 +213,7 @@ def get_detector_par(self, det, hdu=None): # raw frame date in mjd date = time.Time(self.get_meta_value(self.get_headarr(hdu), 'mjd'), format='mjd').value # get the measurements files - measure_files = np.fromiter( - (data.Paths.spectrographs / "keck_deimos" / "gain_ronoise").glob("*"), - pathlib.Path - ) + measure_files = sorted((data.Paths.spectrographs / "keck_deimos" / "gain_ronoise").glob("*")) # Parse the dates recorded in the name of the files measure_dates = np.array([f.name.split('.')[2] for f in measure_files]) # convert into datetime format From 22d5fd4e3c9758f8b567e6dcfa770c0e966ce788 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Wed, 12 Apr 2023 09:39:46 -0700 Subject: [PATCH 215/308] One more catch Tests didn't catch this one... but maybe should have? modified: pypeit/core/telluric.py --- pypeit/core/telluric.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/pypeit/core/telluric.py b/pypeit/core/telluric.py index e3371117cd..61c439761d 100644 --- a/pypeit/core/telluric.py +++ b/pypeit/core/telluric.py @@ -1600,11 +1600,11 @@ def star_telluric(spec1dfile, telgridfile, telloutfile, outfile, star_type=None, debug=debug_init) # Optionally, mask prominent stellar absorption features - mask_tot = flux_calib.get_mask( - wave, flux, ivar, mask, mask_telluric=False, - mask_hydrogen_lines=mask_hydrogen_lines, mask_helium_lines=mask_helium_lines, - hydrogen_mask_wid=hydrogen_mask_wid, - ) + mask_bad, mask_recomb, mask_tell = flux_calib.get_mask(wave, flux, ivar, mask, + mask_hydrogen_lines=mask_hydrogen_lines, + mask_helium_lines=mask_helium_lines, + mask_telluric=False, hydrogen_mask_wid=hydrogen_mask_wid) + mask_tot = mask_bad & mask_recomb & mask_tell # parameters lowered for testing TelObj = Telluric(wave, flux, ivar, mask_tot, telgridfile, obj_params, init_star_model, From d67015d7741e2f10bc8c1d86b63d7f63771115a6 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 12 Apr 2023 13:02:56 -0700 Subject: [PATCH 216/308] getting there --- pypeit/images/combineimage.py | 4 --- pypeit/inputfiles.py | 7 +---- pypeit/scripts/coadd_2dspec.py | 55 +++++++++++++++++---------------- pypeit/scripts/setup_coadd2d.py | 14 +++++++-- 4 files changed, 40 insertions(+), 40 deletions(-) diff --git a/pypeit/images/combineimage.py b/pypeit/images/combineimage.py index 4b9514079c..fbce070053 100644 --- a/pypeit/images/combineimage.py +++ b/pypeit/images/combineimage.py @@ -226,11 +226,9 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr # Read noise squared image if pypeitImage.rn2img is not None: rn2img_stack[kk] = pypeitImage.rn2img * scl_stack[kk]**2 -# rn2img_stack[kk] = pypeitImage.rn2img # Processing variance image if pypeitImage.base_var is not None: basev_stack[kk] = pypeitImage.base_var * scl_stack[kk]**2 -# basev_stack[kk] = pypeitImage.base_var / scl_stack[kk]**2 # Final mask for this image # TODO: This seems kludgy to me. Why not just pass ignore_saturation # to process_one and ignore the saturation when the mask is actually @@ -279,7 +277,6 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr comb_rn2, comb_basev = var_list_out comb_rn2[gpm] /= comb_scl[gpm]**2 comb_basev[gpm] /= comb_scl[gpm]**2 -# comb_basev[gpm] *= comb_scl[gpm]**2 elif combine_method == 'median': bpm_stack = np.logical_not(gpm_stack) nstack = np.sum(gpm_stack, axis=0) @@ -296,7 +293,6 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr # in mean (sum(variance_i)/n^2) to standard variance in median) comb_rn2[gpm] *= np.pi/2/nstack[gpm]**2/comb_scl[gpm]**2 comb_basev[gpm] *= np.pi/2/nstack[gpm]**2/comb_scl[gpm]**2 -# comb_basev[gpm] *= np.pi/2/nstack[gpm]**2 * comb_scl[gpm]**2 else: # NOTE: Given the check at the beginning of the function, the code # should *never* make it here. diff --git a/pypeit/inputfiles.py b/pypeit/inputfiles.py index 1887c17f15..e813ec9f9b 100644 --- a/pypeit/inputfiles.py +++ b/pypeit/inputfiles.py @@ -61,12 +61,7 @@ def __init__(self, self.data = data_table self.file_paths = file_paths self.setup = setup - - # Load up ConfigObj - if config is not None: - self.config = configobj.ConfigObj(config) - else: - self.config = None + self.config = None if config is None else configobj.ConfigObj(config) # Vet self.vet() diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 1bba293615..44c3208758 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -16,7 +16,7 @@ from astropy.io import fits -from pypeit import par, msgs, io +from pypeit import msgs from pypeit import coadd2d from pypeit import inputfiles from pypeit import specobjs @@ -75,31 +75,35 @@ def main(args): # Load the file coadd2dFile = inputfiles.Coadd2DFile.from_file(args.coadd2d_file) - spectrograph, parset, _ = coadd2dFile.get_pypeitpar() + spectrograph, par, _ = coadd2dFile.get_pypeitpar() # Check some of the parameters # TODO Heliocentric for coadd2d needs to be thought through. Currently turning it off. - if parset['calibrations']['wavelengths']['refframe'] != 'observed': + if par['calibrations']['wavelengths']['refframe'] != 'observed': msgs.warn('Wavelength reference frame shift (e.g., heliocentric correction) not yet ' 'fully developed. Ignoring input and setting "refframe = observed".') - parset['calibrations']['wavelengths']['refframe'] = 'observed' + par['calibrations']['wavelengths']['refframe'] = 'observed' # TODO Flexure correction for coadd2d needs to be thought through. Currently turning it off. - if parset['flexure']['spec_method'] != 'skip': + if par['flexure']['spec_method'] != 'skip': msgs.warn('Spectroscopic flexure correction not yet fully developed. Skipping.') - parset['flexure']['spec_method'] = 'skip' + par['flexure']['spec_method'] = 'skip' # TODO This is currently the default for 2d coadds, but we need a way to toggle it on/off - if not parset['reduce']['findobj']['skip_skysub']: + if not par['reduce']['findobj']['skip_skysub']: msgs.warn('Must skip sky subtraction when finding objects (i.e., sky should have ' 'been subtracted during primary reduction procedure). Skipping.') - parset['reduce']['findobj']['skip_skysub'] = True + par['reduce']['findobj']['skip_skysub'] = True - # Set the file paths + # Get the files spec2d_files = coadd2dFile.filenames + # Get the paths + + # TODO: And here's basically where I gave up... + # Get the output basename head2d = fits.getheader(spec2d_files[0]) if args.basename is None: - #TODO Fix this, currently does not work if target names have - or _ + # TODO: Use FILENAME and TARGET header keywords instead filename_first = Path(spec2d_files[0]).resolve().name filename_last = Path(spec2d_files[-1]).resolve().name prefix_first = (filename_first.split('_')[1]).split('-')[0] @@ -112,26 +116,23 @@ def main(args): # Write the par to disk par_outfile = basename+'_coadd2d.par' print("Writing the parameters to {}".format(par_outfile)) - parset.to_config(par_outfile, exclude_defaults=True, include_descr=False) + par.to_config(par_outfile, exclude_defaults=True, include_descr=False) # Now run the coadds - - skysub_mode = head2d['SKYSUB'] - findobj_mode = head2d['FINDOBJ'] - bkg_redux = True if 'DIFF' in skysub_mode else False - find_negative = True if 'NEG' in findobj_mode else False + bkg_redux = head2d['SKYSUB'] == 'DIFF' + find_negative = head2d['FINDOBJ'] == 'NEG' # Print status message msgs_string = 'Reducing target {:s}'.format(basename) + msgs.newline() - msgs_string += 'Coadding frame sky-subtraced with {:s}'.format(skysub_mode) - msgs_string += 'Searching for objects that are {:s}'.format(findobj_mode) + msgs_string += 'Coadding frame sky-subtracted with {:s}'.format(head2d['SKYSUB']) + msgs_string += 'Searching for objects that are {:s}'.format(head2d['FINDOBJ']) msgs_string += msgs.newline() + 'Combining frames in 2d coadd:' + msgs.newline() for f, file in enumerate(spec2d_files): msgs_string += f'Exp {f}: {Path(file).name}' + msgs.newline() msgs.info(msgs_string) # TODO: This needs to be added to the parameter list for rdx. Why does - # this not use parset['rdx']['redux_path'], which is used below to set + # this not use par['rdx']['redux_path'], which is used below to set # the qa_path? redux_path = Path().resolve() calib_dir = redux_path / f'{Path(head2d["CALIBDIR"]).name}_coadd' @@ -150,18 +151,18 @@ def main(args): sci_dict['meta']['find_negative'] = find_negative # Make QA coadd directory - parset['rdx']['qadir'] += '_coadd' - qa_path = Path(parset['rdx']['redux_path']).resolve() / parset['rdx']['qadir'] / 'PNGs' + par['rdx']['qadir'] += '_coadd' + qa_path = Path(par['rdx']['redux_path']).resolve() / par['rdx']['qadir'] / 'PNGs' if not qa_path.exists(): qa_path.mkdir(parents=True) # Find the detectors to reduce - detectors = spectrograph.select_detectors(subset=parset['rdx']['detnum']) + detectors = spectrograph.select_detectors(subset=par['rdx']['detnum']) msgs.info(f'Detectors to work on: {detectors}') # Only_slits? if args.only_slits: - parset['coadd2d']['only_slits'] = [int(item) for item in args.only_slits.split(',')] + par['coadd2d']['only_slits'] = [int(item) for item in args.only_slits.split(',')] # container for specobjs all_specobjs = specobjs.SpecObjs() @@ -176,9 +177,9 @@ def main(args): msgs.info("Working on detector {0}".format(det)) # Instantiate Coadd2d - coadd = coadd2d.CoAdd2D.get_instance(spec2d_files, spectrograph, parset, det=det, - offsets=parset['coadd2d']['offsets'], - weights=parset['coadd2d']['weights'], + coadd = coadd2d.CoAdd2D.get_instance(spec2d_files, spectrograph, par, det=det, + offsets=par['coadd2d']['offsets'], + weights=par['coadd2d']['weights'], spec_samp_fact=args.spec_samp_fact, spat_samp_fact=args.spat_samp_fact, bkg_redux=bkg_redux, find_negative=find_negative, @@ -187,7 +188,7 @@ def main(args): # TODO Add this stuff to a run method in coadd2d # Coadd the slits - coadd_dict_list = coadd.coadd(only_slits=parset['coadd2d']['only_slits']) + coadd_dict_list = coadd.coadd(only_slits=par['coadd2d']['only_slits']) # Create the pseudo images pseudo_dict = coadd.create_pseudo_image(coadd_dict_list) # Reduce diff --git a/pypeit/scripts/setup_coadd2d.py b/pypeit/scripts/setup_coadd2d.py index 0df7f445c8..dda27e9b43 100644 --- a/pypeit/scripts/setup_coadd2d.py +++ b/pypeit/scripts/setup_coadd2d.py @@ -55,6 +55,7 @@ def main(args): from astropy.table import Table from pypeit import msgs + from pypeit import utils from pypeit import inputfiles from pypeit.coadd2d import CoAdd2D @@ -98,10 +99,17 @@ def main(args): if len(object_spec2d_files.keys()) == 0: msgs.error('Unable to match any spec2d files to objects.') + # Add the paths to make sure they match the pypeit file + cfg = {} if args.clean_par else dict(pypeitFile.config) + utils.add_sub_dict(cfg, 'rdx') + cfg['rdx']['redux_path'] = par['rdx']['redux_path'] + cfg['rdx']['scidir'] = par['rdx']['scidir'] + cfg['rdx']['qadir'] = par['rdx']['qadir'] + utils.add_sub_dict(cfg, 'calibrations') + cfg['calibrations']['calib_dir'] = par['calibrations']['calib_dir'] + # Build the default parameters - cfg = CoAdd2D.default_par(spec.name, - inp_cfg=None if args.clean_par else dict(pypeitFile.config), - det=args.det, slits=args.only_slits) + cfg = CoAdd2D.default_par(spec.name, inp_cfg=cfg, det=args.det, slits=args.only_slits) # Create a coadd2D file for each object # NOTE: Below expect all spec2d files have the same path From 88a0cd6e1ac7b8c29aa3493db1d0673c0fdd0250 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 12 Apr 2023 14:05:38 -0700 Subject: [PATCH 217/308] show 2dspec warning fix --- pypeit/datamodel.py | 25 +++++--- pypeit/pypmsgs.py | 8 ++- pypeit/scripts/coadd_2dspec.py | 114 ++++++++++++++++++--------------- pypeit/scripts/show_2dspec.py | 4 +- 4 files changed, 86 insertions(+), 65 deletions(-) diff --git a/pypeit/datamodel.py b/pypeit/datamodel.py index 492438a30b..550ac3feda 100644 --- a/pypeit/datamodel.py +++ b/pypeit/datamodel.py @@ -679,7 +679,7 @@ def __init__(self, d=None): break if dc is None: msgs.error(f'Could not assign dictionary element {key} to datamodel ' - f'for {self.__class__.__name__}.') + f'for {self.__class__.__name__}.', cls='PypeItDataModelError') setattr(self, key, dc) continue @@ -827,7 +827,7 @@ def _bundle(self, ext=None, transpose_arrays=False): d = Table(d) except: msgs.error(f'Cannot force all elements of {self.__class__.__name__} datamodel' - 'into a single-row astropy Table!') + 'into a single-row astropy Table!', cls='PypeItDataModelError') return [d] if ext is None else [{ext:d}] @@ -962,7 +962,7 @@ def _parse(cls, hdu, ext=None, ext_pseudo=None, transpose_table_arrays=False, if len(_ext_pseudo) != len(_ext): msgs.error(f'Length of provided extension pseudonym list must match number of ' - f'extensions selected: {len(_ext)}.') + f'extensions selected: {len(_ext)}.', cls='PypeItDataModelError') str_ext = np.logical_not([isinstance(e, (int, np.integer)) for e in _ext_pseudo]) @@ -1361,7 +1361,8 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, indx = np.isin(hdr_keys, list(_primary_hdr.keys())) if np.sum(indx) > 1: msgs.error('CODING ERROR: Primary header should not contain keywords that are the ' - 'same as the datamodel for {0}.'.format(self.__class__.__name__)) + 'same as the datamodel for {0}.'.format(self.__class__.__name__), + cls='PypeItDataModelError') # Initialize the base header _hdr = self._base_header(hdr=hdr) @@ -1370,7 +1371,8 @@ def to_hdu(self, hdr=None, add_primary=False, primary_hdr=None, if _hdr is not None \ and np.any(np.isin([k.upper() for k in self.keys()], list(_hdr.keys()))): msgs.error('CODING ERROR: Baseline header should not contain keywords that are the ' - 'same as the datamodel for {0}.'.format(self.__class__.__name__)) + 'same as the datamodel for {0}.'.format(self.__class__.__name__), + cls='PypeItDataModelError') # Construct the list of HDUs hdu = [] @@ -1427,12 +1429,15 @@ def from_hdu(cls, hdu, chk_version=True, **kwargs): d, dm_version_passed, dm_type_passed, parsed_hdus = cls._parse(hdu, **kwargs) # Check version and type? if not dm_type_passed: - msgs.error(f'The HDU(s) cannot be parsed by a {cls.__name__} object!') + msgs.error(f'The HDU(s) cannot be parsed by a {cls.__name__} object!', + cls='PypeItDataModelError') if not dm_version_passed: - _f = msgs.error if chk_version else msgs.warn - # TODO: Pring read version? - _f(f'Current version of {cls.__name__} object in code ({cls.version}) ' - 'does not match version used to write your HDU(s)!') + msg = f'Current version of {cls.__name__} object in code ({cls.version}) ' \ + 'does not match version used to write your HDU(s)!' + if chk_version: + msgs.error(msg, cls='PypeItDataModelError') + else: + msgs.warn(msg) # Instantiate # NOTE: We can't use `cls(d)`, where `d` is the dictionary returned by diff --git a/pypeit/pypmsgs.py b/pypeit/pypmsgs.py index 63077b1195..d7f1e397ff 100644 --- a/pypeit/pypmsgs.py +++ b/pypeit/pypmsgs.py @@ -30,6 +30,9 @@ class PypeItError(Exception): pass +class PypeItDataModelError(Exception): + pass + class Messages: """ @@ -172,7 +175,7 @@ def close(self): close_qa(self.pypeit_file, self.qa_path) return self.reset_log_file(None) - def error(self, msg): + def error(self, msg, cls='PypeItError'): """ Print an error message """ @@ -183,7 +186,8 @@ def error(self, msg): # TODO: This no longer "closes" the QA plots self.close() - raise PypeItError(msg) +# raise PypeItError(msg) + raise eval(cls)(msg) # TODO: Does this do anything? I didn't think anything past `raise` # would be executed. diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 44c3208758..5c7c54293a 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -4,26 +4,7 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ -from pathlib import Path -import os -import glob -import copy -from collections import OrderedDict - -from IPython import embed - -import numpy as np - -from astropy.io import fits - -from pypeit import msgs -from pypeit import coadd2d -from pypeit import inputfiles -from pypeit import specobjs -from pypeit import spec2dobj from pypeit.scripts import scriptbase -from pypeit.spectrographs.util import load_spectrograph - class CoAdd2DSpec(scriptbase.ScriptBase): @@ -70,6 +51,27 @@ def get_parser(cls, width=None): def main(args): """ Executes 2d coadding """ + + from pathlib import Path + import os + import glob + import copy + from collections import OrderedDict + + from IPython import embed + + import numpy as np + + from astropy.io import fits + + from pypeit import msgs + from pypeit import io + from pypeit import coadd2d + from pypeit import inputfiles + from pypeit import specobjs + from pypeit import spec2dobj + from pypeit.spectrographs.util import load_spectrograph + # Set the verbosity, and create a logfile if verbosity == 2 msgs.set_logfile_and_verbosity('coadd_2dspec', args.verbosity) @@ -97,25 +99,44 @@ def main(args): spec2d_files = coadd2dFile.filenames # Get the paths - - # TODO: And here's basically where I gave up... + # NOTE: These two should be the same as + # Path(par['rdx']['redux_path']).resolve() / par['rdx']['scidir'] + # Path(spec2d_files[0]).parent + pypeit_scidir = Path(spec2d_files[0]).parent + coadd_scidir = pypeit_scidir.parent / f"{par['rdx']['scidir']}_coadd" + if not coadd_scidir.exists(): + coadd_scidir.mkdir(parents=True) + pypeit_calib_dir = pypeit_scidir.parent / par['calibrations']['calib_dir'] + coadd_calib_dir = pypeit_scidir.parent / f"{par['calibrations']['calib_dir']}_coadd" + if not coadd_calib_dir.exists(): + coadd_calib_dir.mkdir(parents=True) + pypeit_qa_dir = pypeit_scidir.parent / par['rdx']['qadir'] + coadd_qa_dir = pypeit_scidir.parent / f"{par['rdx']['qadir']}_coadd" + qa_path = coadd_qa_dir / 'PNGs' + if not qa_path.exists(): + qa_path.mkdir(parents=True) # Get the output basename head2d = fits.getheader(spec2d_files[0]) if args.basename is None: - # TODO: Use FILENAME and TARGET header keywords instead - filename_first = Path(spec2d_files[0]).resolve().name - filename_last = Path(spec2d_files[-1]).resolve().name - prefix_first = (filename_first.split('_')[1]).split('-')[0] - prefix_last = (filename_last.split('_')[1]).split('-')[0] - objname = (filename_first.split('-')[1]).split('_')[0] - basename = '{:s}-{:s}-{:s}'.format(prefix_first,prefix_last,objname) + lasthdr = fits.getheader(spec2d_files[-1]) + if 'FILENAME' not in head2d: + msgs.error(f'Missing FILENAME keyword in {spec2d_files[0]}. Set the basename ' + 'using the command-line option.') + if 'FILENAME' not in lasthdr: + msgs.error(f'Missing FILENAME keyword in {spec2d_files[-1]}. Set the basename ' + 'using the command-line option.') + if 'TARGET' not in head2d: + msgs.error(f'Missing TARGET keyword in {spec2d_files[0]}. Set the basename ' + 'using the command-line option.') + basename = f"{io.remove_suffix(head2d['FILENAME'])}-" \ + f"{io.remove_suffix(lasthdr['FILENAME'])}-{head2d['TARGET']}" else: basename = args.basename # Write the par to disk - par_outfile = basename+'_coadd2d.par' - print("Writing the parameters to {}".format(par_outfile)) + par_outfile = coadd_scidir.parent / f'{basename}_coadd2d.par' + print(f'Writing full parameter set to {par_outfile}.') par.to_config(par_outfile, exclude_defaults=True, include_descr=False) # Now run the coadds @@ -123,24 +144,16 @@ def main(args): find_negative = head2d['FINDOBJ'] == 'NEG' # Print status message - msgs_string = 'Reducing target {:s}'.format(basename) + msgs.newline() - msgs_string += 'Coadding frame sky-subtracted with {:s}'.format(head2d['SKYSUB']) - msgs_string += 'Searching for objects that are {:s}'.format(head2d['FINDOBJ']) - msgs_string += msgs.newline() + 'Combining frames in 2d coadd:' + msgs.newline() + msgs_string = f'Reducing target {basename}' + msgs.newline() + msgs_string += f"Coadding frame sky-subtracted with {head2d['SKYSUB']}" + msgs.newline() + msgs_string += f"Searching for objects that are {head2d['FINDOBJ']}" + msgs.newline() + msgs_string += 'Combining frames in 2d coadd:' + msgs.newline() for f, file in enumerate(spec2d_files): msgs_string += f'Exp {f}: {Path(file).name}' + msgs.newline() msgs.info(msgs_string) - # TODO: This needs to be added to the parameter list for rdx. Why does - # this not use par['rdx']['redux_path'], which is used below to set - # the qa_path? - redux_path = Path().resolve() - calib_dir = redux_path / f'{Path(head2d["CALIBDIR"]).name}_coadd' - - # If the calibrations directory doesn't exist, make it. - if not calib_dir.exists(): - msgs.info(f'Creating directory for calibration output: {calib_dir}') - calib_dir.mkdir(parents=True) + embed() + exit() # Instantiate the sci_dict # TODO Why do we need this sci_dict at all?? JFH @@ -150,14 +163,13 @@ def main(args): sci_dict['meta']['bkg_redux'] = bkg_redux sci_dict['meta']['find_negative'] = find_negative - # Make QA coadd directory - par['rdx']['qadir'] += '_coadd' - qa_path = Path(par['rdx']['redux_path']).resolve() / par['rdx']['qadir'] / 'PNGs' - if not qa_path.exists(): - qa_path.mkdir(parents=True) - # Find the detectors to reduce - detectors = spectrograph.select_detectors(subset=par['rdx']['detnum']) + # TODO: Include + detectors = spectrograph.select_detectors( + subset=par['rdx']['detnum'] if par['rdx']['slitspatnum'] is None else + par['rdx']['slitspatnum']) + + spectrograph.select_detectors(subset=par['rdx']['detnum']) msgs.info(f'Detectors to work on: {detectors}') # Only_slits? diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index cd51e8b1f9..afca9597a7 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -20,7 +20,7 @@ from pypeit import io from pypeit import utils from pypeit import __version__ -from pypeit.pypmsgs import PypeItError +from pypeit.pypmsgs import PypeItError, PypeItDataModelError from pypeit.display import display from pypeit.images.imagebitmask import ImageBitMask @@ -138,7 +138,7 @@ def main(args): # for the datamodel version to be different try: spec2DObj = spec2dobj.Spec2DObj.from_file(args.file, detname, chk_version=False) - except PypeItError: + except PypeItDataModelError: try: # Try to get the pypeit version used to write this file file_pypeit_version = fits.getval(args.file, 'VERSPYP', 0) From f185020e56ffe7fe51ffc7f56a75b69127f47dbd Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 12 Apr 2023 14:09:38 -0700 Subject: [PATCH 218/308] exception inheritance --- pypeit/pypmsgs.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/pypmsgs.py b/pypeit/pypmsgs.py index d7f1e397ff..8dfc9ef19f 100644 --- a/pypeit/pypmsgs.py +++ b/pypeit/pypmsgs.py @@ -30,7 +30,7 @@ class PypeItError(Exception): pass -class PypeItDataModelError(Exception): +class PypeItDataModelError(PypeItError): pass From f3d88ed1c84bd6bca6204c3e45fe9aaddf5f4204 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 12 Apr 2023 14:13:43 -0700 Subject: [PATCH 219/308] coadd --- pypeit/scripts/coadd_2dspec.py | 18 +++++------------- 1 file changed, 5 insertions(+), 13 deletions(-) diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 5c7c54293a..822de934d0 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -152,9 +152,6 @@ def main(args): msgs_string += f'Exp {f}: {Path(file).name}' + msgs.newline() msgs.info(msgs_string) - embed() - exit() - # Instantiate the sci_dict # TODO Why do we need this sci_dict at all?? JFH sci_dict = OrderedDict() # This needs to be ordered @@ -164,18 +161,13 @@ def main(args): sci_dict['meta']['find_negative'] = find_negative # Find the detectors to reduce - # TODO: Include - detectors = spectrograph.select_detectors( - subset=par['rdx']['detnum'] if par['rdx']['slitspatnum'] is None else - par['rdx']['slitspatnum']) - - spectrograph.select_detectors(subset=par['rdx']['detnum']) + # TODO: Allow slitspatnum to be specified? E.g.: +# detectors = spectrograph.select_detectors( +# subset=par['rdx']['detnum'] if par['rdx']['slitspatnum'] is None else +# par['rdx']['slitspatnum']) + detectors = spectrograph.select_detectors(subset=par['rdx']['detnum']) msgs.info(f'Detectors to work on: {detectors}') - # Only_slits? - if args.only_slits: - par['coadd2d']['only_slits'] = [int(item) for item in args.only_slits.split(',')] - # container for specobjs all_specobjs = specobjs.SpecObjs() # container for spec2dobj From 432911c579b38e2f0aaefb0282381ea316d23fd5 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 12 Apr 2023 15:48:36 -0700 Subject: [PATCH 220/308] coadd script --- pypeit/coadd2d.py | 4 +++- pypeit/scripts/coadd_2dspec.py | 30 ++++++++++++------------------ pypeit/scripts/ql.py | 30 +++++++++++++++++++++++++++++- pypeit/tests/test_utils.py | 26 ++++++++++++++++++-------- pypeit/utils.py | 27 +++++++++++++++++++++++++++ 5 files changed, 89 insertions(+), 28 deletions(-) diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index dfb2643dfb..4511441fe0 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -241,7 +241,9 @@ def default_par(spectrograph, inp_cfg=None, det=None, slits=None): Returns: :obj:`dict`: The default set of parameters. """ - cfg = dict(rdx=dict(spectrograph=spectrograph)) if inp_cfg is None else dict(inp_cfg) + cfg = dict(rdx=dict(spectrograph=spectrograph)) + if inp_cfg is not None: + cfg = utils.recursive_update(cfg, dict(inp_cfg)) if det is not None: cfg['rdx']['detnum'] = det if slits is not None: diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 822de934d0..edad10d7c9 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -106,13 +106,15 @@ def main(args): coadd_scidir = pypeit_scidir.parent / f"{par['rdx']['scidir']}_coadd" if not coadd_scidir.exists(): coadd_scidir.mkdir(parents=True) - pypeit_calib_dir = pypeit_scidir.parent / par['calibrations']['calib_dir'] - coadd_calib_dir = pypeit_scidir.parent / f"{par['calibrations']['calib_dir']}_coadd" - if not coadd_calib_dir.exists(): - coadd_calib_dir.mkdir(parents=True) - pypeit_qa_dir = pypeit_scidir.parent / par['rdx']['qadir'] - coadd_qa_dir = pypeit_scidir.parent / f"{par['rdx']['qadir']}_coadd" - qa_path = coadd_qa_dir / 'PNGs' +# pypeit_calib_dir = pypeit_scidir.parent / par['calibrations']['calib_dir'] +# coadd_calib_dir = pypeit_scidir.parent / f"{par['calibrations']['calib_dir']}_coadd" +# if not coadd_calib_dir.exists(): +# coadd_calib_dir.mkdir(parents=True) +# pypeit_qa_dir = pypeit_scidir.parent / par['rdx']['qadir'] +# coadd_qa_dir = pypeit_scidir.parent / f"{par['rdx']['qadir']}_coadd" +# qa_path = coadd_qa_dir / 'PNGs' + parset['rdx']['qadir'] += '_coadd' + qa_path = pypeit_scidir.parent / parset['rdx']['qadir'] / 'PNGs' if not qa_path.exists(): qa_path.mkdir(parents=True) @@ -247,32 +249,24 @@ def main(args): # SAVE TO DISK - # Make the new Science dir - # TODO: This needs to be defined by the user - scipath = redux_path / 'Science_coadd' - if not scipath.exists(): - msgs.info(f'Creating directory for Science output: {scipath}') - scipath.mkdir(parents=True) - # THE FOLLOWING MIMICS THE CODE IN pypeit.save_exposure() subheader = spectrograph.subheader_for_spec(head2d, head2d) # Write spec1D if all_specobjs.nobj > 0: - outfile1d = scipath / f'spec1d_{basename}.fits' + outfile1d = coadd_scidir / f'spec1d_{basename}.fits' all_specobjs.write_to_fits(subheader, outfile1d) # Info - outfiletxt = scipath / f'spec1d_{basename}.txt' + outfiletxt = coadd_scidir / f'spec1d_{basename}.txt' sobjs = specobjs.SpecObjs.from_fitsfile(outfile1d, chk_version=False) sobjs.write_info(outfiletxt, spectrograph.pypeline) # Build header for spec2d - outfile2d = scipath / f'spec2d_{basename}.fits' + outfile2d = coadd_scidir / f'spec2d_{basename}.fits' pri_hdr = all_spec2d.build_primary_hdr(head2d, spectrograph, subheader=subheader, # TODO -- JFH :: Decide if we need any of these redux_path=None) - #, master_key_dict=None, master_dir=None) # Write spec2d all_spec2d.write_to_fits(outfile2d, pri_hdr=pri_hdr) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index f4160e13bf..9999c2f087 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -44,6 +44,8 @@ from pypeit.slittrace import SlitTraceSet from pypeit import inputfiles +from pypeit.scripts.setup_coadd2d import SetupCoAdd2D +from pypeit.scripts.coadd_2dspec import CoAdd2DSpec def get_files(raw_files, raw_path, ext): """ @@ -517,6 +519,13 @@ def get_parser(cls, width=None): 'reduction of the science frames.') parser.add_argument('--snr_thresh', default=None, type=float, help='Change the default S/N threshold used during source detection') + + parser.add_argument('--coadd', default=False, action='store_true', + help='Perform default 2D coadding.') + # TODO: Add in relevant 2d coadding parameters, like detector, slits, + # objects, etc. 2D coadding is basically just a default run of + # `pypeit_setup_coadd2d` and `pypeit_coadd_2dspec`. + return parser @@ -702,7 +711,26 @@ def main(args): pypeIt.reduce_all() pypeIt.build_qa() - # COADD 2D GOES HERE + # Preform coadding if requested + if args.coadd: + # Run the setup script to get the baseline coadd2d file + # TODO: Add sensitivity functions, and other options + SetupCoAdd2D.main(SetupCoAdd2D.parse_args([sci_pypeit_file])) + + # Find all the coadd2d scripts + # TODO: Need to have SetupCoAdd2D.main return the names of the written files... + coadd_files = sorted(Path(sci_pypeit_file).resolve().parent.glob('*.coadd2d')) + + # Run the coadding, only on those coadd files with more than one file + for coadd_file in coadd_files: + coadd2dFile = inputfiles.Coadd2DFile.from_file(coadd_file) + if len(coadd2dFile.data) < 2: + msgs.warn(f'{coadd_file} only has one spec2d file. Continuing...') + continue + + # TODO: Add options + CoAdd2DSpec.main(CoAdd2DSpec.parse_args([coadd_file])) + exec_s = np.around(time.perf_counter()-tstart, decimals=1) msgs.info(f'Quicklook execution time: {datetime.timedelta(seconds=exec_s)}') diff --git a/pypeit/tests/test_utils.py b/pypeit/tests/test_utils.py index 9110036093..6719dfaeca 100644 --- a/pypeit/tests/test_utils.py +++ b/pypeit/tests/test_utils.py @@ -2,20 +2,18 @@ Module to run tests on methods in utils.py """ import os -import numpy as np -import pytest + +from IPython import embed import yaml +import numpy as np + from pypeit import utils from pypeit import msgs -from pypeit.tests import tstutils +from pypeit.tests.tstutils import data_path from pypeit import io -#def data_path(filename): -# data_dir = os.path.join(os.path.dirname(__file__), 'files') -# return os.path.join(data_dir, filename) - def test_calc_ivar(): """ Run the parameter setup script @@ -100,7 +98,7 @@ def test_yamlify(): new_obj = utils.yamlify(obj) # Write - tst_file = tstutils.data_path('tst.yaml') + tst_file = data_path('tst.yaml') with open(tst_file, 'w') as f: setup_lines = io.dict_to_lines(new_obj, level=1) f.write('\n'.join(setup_lines)+'\n') @@ -117,4 +115,16 @@ def test_yamlify(): # Clean up os.remove(tst_file) + + +def test_recursive_update(): + d = {} + d['rdx'] = dict(spectrograph='shane_kast_blue') + u = {} + u['rdx'] = dict(detnum=3) + + d = utils.recursive_update(d, u) + assert sorted(list(d['rdx'].keys())) == ['detnum', 'spectrograph'], 'Missing merged keys' + + \ No newline at end of file diff --git a/pypeit/utils.py b/pypeit/utils.py index be60a2ad52..b91f4bed7c 100644 --- a/pypeit/utils.py +++ b/pypeit/utils.py @@ -11,6 +11,7 @@ import pathlib import itertools import glob +import collections.abc from IPython import embed @@ -1053,6 +1054,32 @@ def add_sub_dict(d, key): d[key] = {} +def recursive_update(d, u): + """ + Update dictionary values with recursion to nested dictionaries. + + Thanks to: + https://stackoverflow.com/questions/3232943/update-value-of-a-nested-dictionary-of-varying-depth + + Args: + d (:obj:`dict`): + Dictionary (potentially of other dictionaries) to be updated. This + is both edited in-place and returned. + u (:obj:`dict`): + Dictionary (potentially of other dictionaries) with the + updated/additional values. + + Returns: + :obj:`dict`: The updated dictionary. + """ + for k, v in u.items(): + if isinstance(v, collections.abc.Mapping): + d[k] = recursive_update(d.get(k, {}), v) + else: + d[k] = v + return d + + def save_pickle(fname, obj): """Save an object to a python pickle file From a741045e4ec937e35c8a41ec08145b19c7dbe000 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 13 Apr 2023 08:39:40 -0700 Subject: [PATCH 221/308] circular import fix --- pypeit/images/pypeitimage.py | 2 -- pypeit/inputfiles.py | 51 +++++++++++++++++++++++++++- pypeit/io.py | 48 +------------------------- pypeit/spectrographs/spectrograph.py | 7 ++-- pypeit/tests/test_io.py | 10 +++--- 5 files changed, 59 insertions(+), 59 deletions(-) diff --git a/pypeit/images/pypeitimage.py b/pypeit/images/pypeitimage.py index 829f3145fa..50cd06642f 100644 --- a/pypeit/images/pypeitimage.py +++ b/pypeit/images/pypeitimage.py @@ -3,7 +3,6 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ -import os import inspect from IPython import embed @@ -21,7 +20,6 @@ from pypeit import datamodel from pypeit.calibframe import CalibFrame from pypeit import utils -from pypeit import io class PypeItImage(datamodel.DataContainer): diff --git a/pypeit/inputfiles.py b/pypeit/inputfiles.py index e813ec9f9b..e8d1e37dc5 100644 --- a/pypeit/inputfiles.py +++ b/pypeit/inputfiles.py @@ -2,7 +2,7 @@ .. include:: ../include/links.rst """ - +from pathlib import Path import os import glob import numpy as np @@ -17,6 +17,7 @@ from astropy.io import ascii from pypeit import utils +from pypeit.io import files_from_extension from pypeit import msgs, __version__ from pypeit.spectrographs.util import load_spectrograph from pypeit.par.pypeitpar import PypeItPar @@ -854,3 +855,51 @@ def vet(self): # Done msgs.info('.rawfiles file successfully vetted.') + +# NOTE: I originally had this in pypeit/io.py, but I think it was causing a +# circular import. Moving it here solved the issue. +def grab_rawfiles(file_of_files:str=None, list_of_files:list=None, raw_paths:list=None, + extension:str='.fits'): + """ + Parse a set of raw files from the input. + + Although all arguments are optional, one of ``file_of_files``, + ``list_of_files``, or ``raw_paths`` must be true. Precedence is given in + that order; i.e., if ``file_of_files`` is provided, all other arguments are + ignored. + + Args: + file_of_files (str, optional): + File with list of raw files. Format must follow the + :ref:`input-files-data-block` of a PypeIt file, and the only + required column is the filename. + list_of_files (list, optional): + List of raw files (str). Ignored if ``file_of_files`` is provided. + If ``raw_paths`` is None, the path is assumed to be the current + working directory. + raw_paths (list, optional): + One or more paths with the raw files. Ignored if ``file_of_files`` + is provided. If ``list_of_files`` is None, all files with the + provided extension are assumed to be raw files. + extension (str, optional): + File extension to search on. Ignored if ``file_of_files`` or + ``list_of_files`` is provided. + + Returns: + list: List of raw data filenames with full path + """ + if file_of_files is not None: + # PypeIt formatted list of files + return RawFiles.from_file(file_of_files).filenames + + _raw_paths = [Path().resolve()] if raw_paths is None \ + else [Path(p).resolve() for p in raw_paths] + + if list_of_files is not None: + # An actual list + return [str(p / f) for p in _raw_paths for f in list_of_files if (p / f).exists()] + + # Find all files that have the correct extension + return np.concatenate([files_from_extension(str(p), extension=extension) + for p in _raw_paths]).tolist() + diff --git a/pypeit/io.py b/pypeit/io.py index 7a8fa1b4fd..1e4f29c148 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -25,7 +25,7 @@ from pypeit import msgs from pypeit import par -from pypeit import inputfiles +#from pypeit import inputfiles # These imports are largely just to make the versions available for # writing to the header. See `initialize_header` @@ -846,52 +846,6 @@ def create_symlink(filename, symlink_dir, relative_symlink=False, overwrite=Fals os.symlink(olink_src, olink_dest) -def grab_rawfiles(file_of_files:str=None, list_of_files:list=None, raw_paths:list=None, - extension:str='.fits'): - """ - Parse a set of raw files from the input. - - Although all arguments are optional, one of ``file_of_files``, - ``list_of_files``, or ``raw_paths`` must be true. Precedence is given in - that order; i.e., if ``file_of_files`` is provided, all other arguments are - ignored. - - Args: - file_of_files (str, optional): - File with list of raw files. Format must follow the - :ref:`input-files-data-block` of a PypeIt file, and the only - required column is the filename. - list_of_files (list, optional): - List of raw files (str). Ignored if ``file_of_files`` is provided. - If ``raw_paths`` is None, the path is assumed to be the current - working directory. - raw_paths (list, optional): - One or more paths with the raw files. Ignored if ``file_of_files`` - is provided. If ``list_of_files`` is None, all files with the - provided extension are assumed to be raw files. - extension (str, optional): - File extension to search on. Ignored if ``file_of_files`` or - ``list_of_files`` is provided. - - Returns: - list: List of raw data filenames with full path - """ - if file_of_files is not None: - # PypeIt formatted list of files - return inputfiles.RawFiles.from_file(file_of_files).filenames - - _raw_paths = [Path().resolve()] if raw_paths is None \ - else [Path(p).resolve() for p in raw_paths] - - if list_of_files is not None: - # An actual list - return [str(p / f) for p in _raw_paths for f in list_of_files if (p / f).exists()] - - # Find all files that have the correct extension - return numpy.concatenate([files_from_extension(str(p), extension=extension) - for p in _raw_paths]).tolist() - - def files_from_extension(raw_path:str, extension:str='fits'): """ diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 167e10cba7..d94a149a77 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -37,9 +37,7 @@ from astropy.io import fits from pypeit import msgs -from pypeit import utils from pypeit import io -from pypeit.core.wavecal import wvutils from pypeit.core import parse from pypeit.core import procimg from pypeit.core import meta @@ -767,9 +765,10 @@ def vet_instrument(self, meta_tbl): Table with the meta data; see :class:`~pypeit.metadata.PypeItMetaData`. """ - if self.header_name is None: - msgs.error(f'CODING ERROR: header_name is not defined for {self.__class__.__name__}!') if 'instrument' in meta_tbl.keys(): + if self.header_name is None: + msgs.error('CODING ERROR: header_name is not defined for ' + f'{self.__class__.__name__}!') # Check that there is only one instrument # This could fail if one mixes is much older calibs indx = meta_tbl['instrument'].data != None diff --git a/pypeit/tests/test_io.py b/pypeit/tests/test_io.py index f172067e4d..74a93da2c4 100644 --- a/pypeit/tests/test_io.py +++ b/pypeit/tests/test_io.py @@ -8,7 +8,7 @@ from astropy.table import Table from pypeit import io -from pypeit.inputfiles import RawFiles +from pypeit import inputfiles from pypeit.tests.tstutils import data_path @@ -33,15 +33,15 @@ def test_grab_rawfiles(): tbl = Table() tbl['filename'] = [r.name for r in raw_files] - RawFiles(file_paths=[str(root)], data_table=tbl).write(tst_file) + inputfiles.RawFiles(file_paths=[str(root)], data_table=tbl).write(tst_file) - _raw_files = io.grab_rawfiles(file_of_files=str(tst_file)) + _raw_files = inputfiles.grab_rawfiles(file_of_files=str(tst_file)) assert [str(f) for f in raw_files] == _raw_files, 'Bad file_of_files read' - _raw_files = io.grab_rawfiles(list_of_files=tbl['filename'], raw_paths=[str(root)]) + _raw_files = inputfiles.grab_rawfiles(list_of_files=tbl['filename'], raw_paths=[str(root)]) assert [str(f) for f in raw_files] == _raw_files, 'Bad list_of_files read' - _raw_files = io.grab_rawfiles(raw_paths=[str(root)], extension='.fits.gz') + _raw_files = inputfiles.grab_rawfiles(raw_paths=[str(root)], extension='.fits.gz') assert len(_raw_files) == 8, 'Found the wrong number of files' assert all([str(root / f) in _raw_files for f in tbl['filename']]), 'Missing expected files' From e94dd4998e8e99010421462e9ca7929db6928838 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 13 Apr 2023 09:59:05 -0700 Subject: [PATCH 222/308] Remove codecov dependency --- setup.cfg | 2 -- 1 file changed, 2 deletions(-) diff --git a/setup.cfg b/setup.cfg index 2f8362332c..670cc997c6 100644 --- a/setup.cfg +++ b/setup.cfg @@ -69,7 +69,6 @@ test = tox pytest-cov coverage - codecov docs = sphinx<6,>=1.6 docutils<0.18 @@ -81,7 +80,6 @@ dev = tox pytest-cov coverage - codecov sphinx<6,>=1.6 docutils<0.18 sphinx-automodapi From 1279a7e8570641c05d015e0957310d9a2f86584e Mon Sep 17 00:00:00 2001 From: deborape Date: Thu, 13 Apr 2023 18:59:07 -0700 Subject: [PATCH 223/308] more improvements --- pypeit/display/display.py | 143 +++++++++++++++++++++-------------- pypeit/wavetilts.py | 152 +++++++++++++++++++++++++++----------- 2 files changed, 196 insertions(+), 99 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index f6d56af46e..ba8fe27375 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -607,8 +607,7 @@ def clear_all(allow_new=False): shell.delete_channel(ch) -def show_tilts(viewer, ch, trc_tilt_dict, yoff=0., xoff=0., pstep=1, - points=True, clear_canvas=False): +def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, clear_canvas=False): """ Show the arc tilts on the input channel @@ -617,14 +616,12 @@ def show_tilts(viewer, ch, trc_tilt_dict, yoff=0., xoff=0., pstep=1, Ginga RC viewer ch (ginga.util.grc._channel_proxy): Ginga channel - trc_tilt_dict (dict): - Contains tilts info + tilt_traces (`astropy.table.Table`_): + Table containing the traced and fitted tilts yoff (float, optional): Offset tilts by this amount xoff (float, optional): Offset tilts by this amount - pstep (int, optional): - Show every pstep point of the edges as opposed to *every* point, recommended for speed points (bool, optional): Plot the Gaussian-weighted tilt centers clear_canvas (bool, optional): @@ -636,59 +633,91 @@ def show_tilts(viewer, ch, trc_tilt_dict, yoff=0., xoff=0., pstep=1, canvas.clear() canvas_list = [] - for i in range(len(trc_tilt_dict)): - # parse trc_tilt_dict - tilts_spat = trc_tilt_dict[i]['tilts_spat'] - tilts = trc_tilt_dict[i]['tilts'] - tilts_fit = trc_tilt_dict[i]['tilt_2dfit'] - in_fit = trc_tilt_dict[i]['tot_mask'] - not_fit = np.invert(in_fit) & (tilts > 0) - fit_rej = in_fit & np.invert(trc_tilt_dict[i]['fit_mask']) - fit_keep = in_fit & trc_tilt_dict[i]['fit_mask'] - - # Plot the tilts - nlines = tilts.shape[1] - for iline in range(nlines): - x = tilts_spat[:,iline] + xoff # FOR IMAGING (Ginga offsets this value by 1 internally) - y = tilts[:, iline] + yoff - this_infit = in_fit[:,iline] - this_notfit = not_fit[:,iline] - this_fitrej = fit_rej[:,iline] - this_fitkeep = fit_keep[:,iline] - - if np.any(this_infit) and points: # Plot the gaussian weighted tilt centers - # Plot the actual flux weighted centroids of the arc lines that were traced - xgood = x[this_infit] - ygood = y[this_infit] - # note: must cast numpy floats to regular python floats to pass the remote interface - points_good = [dict(type='squarebox', - args=(float(xgood[i]), float(ygood[i]), 0.7), - kwargs=dict(color='cyan',fill=True, fillalpha=0.5)) for i in range(len(xgood))] - canvas_list += points_good - if np.any(this_notfit) and points: - xbad = x[this_notfit] - ybad = y[this_notfit] - # note: must cast numpy floats to regular python floats to pass the remote interface - points_bad = [dict(type='squarebox', - args=(float(xbad[i]), float(ybad[i]), 0.7), - kwargs=dict(color='red', fill=True,fillalpha=0.5)) for i in range(len(xbad))] - canvas_list += points_bad - # Now plot the polynomial fits to the Gaussian weighted centroids - y = tilts_fit[:, iline] + yoff - if np.any(this_fitrej): - canvas_list += [dict(type=str('path'), - args=(list(zip(x[this_fitrej][::pstep].tolist(), y[this_fitrej][::pstep].tolist())),), - kwargs=dict(color='magenta', linewidth=1))] - if np.any(this_fitkeep): - canvas_list += [dict(type=str('path'), - args=(list(zip(x[this_fitkeep][::pstep].tolist(), y[this_fitkeep][::pstep].tolist())),), - kwargs=dict(color='blue', linewidth=1))] + + if tilt_traces['goodpix_tilt'][0].size > 0 and points: + # note: must cast numpy floats to regular python floats to pass the remote interface + canvas_list += [dict(type='squarebox', + args=(float(tilt_traces['goodpix_spat'][0][i] + xoff), + float(tilt_traces['goodpix_tilt'][0][i] + yoff), 0.8), + kwargs=dict(color='cyan', fill=True, fillalpha=0.5)) + for i in range(tilt_traces['goodpix_tilt'][0].size)] + + if tilt_traces['badpix_tilt'][0].size > 0 and points: + # note: must cast numpy floats to regular python floats to pass the remote interface + canvas_list += [dict(type='squarebox', + args=(float(tilt_traces['badpix_spat'][0][i] + xoff), + float(tilt_traces['badpix_tilt'][0][i] + yoff), 0.8), + kwargs=dict(color='red', fill=True, fillalpha=0.5)) + for i in range(tilt_traces['badpix_tilt'][0].size)] + + # Now plot the polynomial fits to the Gaussian weighted centroids + if tilt_traces['good2dfit_tilt'][0].size > 0: + canvas_list += [dict(type='squarebox', + args=(float(tilt_traces['good2dfit_spat'][0][i] + xoff), + float(tilt_traces['good2dfit_tilt'][0][i] + yoff), 0.4), + kwargs=dict(color='blue', fill=True, fillalpha=0.5)) + for i in range(tilt_traces['good2dfit_tilt'][0].size)] + if tilt_traces['bad2dfit_tilt'][0].size > 0: + canvas_list += [dict(type='squarebox', + args=(float(tilt_traces['bad2dfit_spat'][0][i] + xoff), + float(tilt_traces['bad2dfit_tilt'][0][i] + yoff), 0.4), + kwargs=dict(color='magenta', fill=True, fillalpha=0.5)) + for i in range(tilt_traces['bad2dfit_tilt'][0].size)] + + + # for i in range(len(trc_tilt_dict)): + # if trc_tilt_dict[i] is not None: + # # parse trc_tilt_dict + # tilts_spat = trc_tilt_dict[i]['tilts_spat'] + # tilts = trc_tilt_dict[i]['tilts'] + # tilts_fit = trc_tilt_dict[i]['tilt_2dfit'] + # in_fit = trc_tilt_dict[i]['tot_mask'] + # not_fit = np.invert(in_fit) & (tilts > 0) + # fit_rej = in_fit & np.invert(trc_tilt_dict[i]['fit_mask']) + # fit_keep = in_fit & trc_tilt_dict[i]['fit_mask'] + # + # # Plot the tilts + # nlines = tilts.shape[1] + # for iline in range(nlines): + # x = tilts_spat[:,iline] + xoff # FOR IMAGING (Ginga offsets this value by 1 internally) + # y = tilts[:, iline] + yoff + # this_infit = in_fit[:,iline] + # this_notfit = not_fit[:,iline] + # this_fitrej = fit_rej[:,iline] + # this_fitkeep = fit_keep[:,iline] + # + # if np.any(this_infit) and points: # Plot the gaussian weighted tilt centers + # # Plot the actual flux weighted centroids of the arc lines that were traced + # xgood = x[this_infit] + # ygood = y[this_infit] + # # note: must cast numpy floats to regular python floats to pass the remote interface + # points_good = [dict(type='squarebox', + # args=(float(xgood[i]), float(ygood[i]), 0.7), + # kwargs=dict(color='cyan',fill=True, fillalpha=0.5)) for i in range(len(xgood))] + # canvas_list += points_good + # if np.any(this_notfit) and points: + # xbad = x[this_notfit] + # ybad = y[this_notfit] + # # note: must cast numpy floats to regular python floats to pass the remote interface + # points_bad = [dict(type='squarebox', + # args=(float(xbad[i]), float(ybad[i]), 0.7), + # kwargs=dict(color='red', fill=True,fillalpha=0.5)) for i in range(len(xbad))] + # canvas_list += points_bad + # Now plot the polynomial fits to the Gaussian weighted centroids + # y = tilts_fit[:, iline] + yoff + # if np.any(this_fitrej): + # canvas_list += [dict(type=str('path'), + # args=(list(zip(x[this_fitrej][::pstep].tolist(), y[this_fitrej][::pstep].tolist())),), + # kwargs=dict(color='magenta', linewidth=1))] + # if np.any(this_fitkeep): + # canvas_list += [dict(type=str('path'), + # args=(list(zip(x[this_fitkeep][::pstep].tolist(), y[this_fitkeep][::pstep].tolist())),), + # kwargs=dict(color='blue', linewidth=1))] # Add text - nspat = trc_tilt_dict[0]['nspat'] - nspec = trc_tilt_dict[0]['nspec'] - text_xpos = nspat//10 - text_ypos = [nspec//10 + 90, nspec//10 + 60, nspec//10 + 30, nspec//10] + text_xpos = 50 + start_ypos = 50 + text_ypos = [start_ypos + 90, start_ypos + 60, start_ypos + 30, start_ypos] text_color = ['blue', 'magenta', 'cyan', 'red'] text_str = ['Good tilt fit', 'Rejected tilt fit', 'Good trace', 'Masked trace'] canvas_list += [dict(type='text', args=(float(text_xpos), float(text_ypos[i]), str(text_str[i])), diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 84c9719e3a..4f46ed41d8 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -46,7 +46,7 @@ class WaveTilts(datamodel.DataContainer): included in the output. """ - version = '1.1.0' + version = '1.2.0' # MasterFrame fun master_type = 'Tilts' @@ -68,12 +68,12 @@ class WaveTilts(datamodel.DataContainer): 'func2d': dict(otype=str, descr='Function used for the 2D fit'), 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage'), - 'trace_dict_list': dict(otype=np.ndarray, descr='List of trace_dict objects for each slit. ' - 'trace_dict is a dictionary with the positions ' - 'of the traced and fitted tilts.')} + 'tilt_traces': dict(otype=table.Table, descr='Table with the positions of the ' + 'traced and fitted tilts for all the slits. ' + 'see make_tilt_table() for more details. ')} def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, - spat_flexure=None, PYP_SPEC=None, trace_dict_list=None): + spat_flexure=None, PYP_SPEC=None, tilt_traces=None): # Parse args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -94,7 +94,15 @@ def _bundle(self): See :func:`pypeit.datamodel.DataContainer._bundle`. Data is always written to a 'TILTS' extension. """ - return super(WaveTilts, self)._bundle(ext='TILTS') + _d = super(WaveTilts, self)._bundle(ext='TILTS') + + # similarly to SlitTraceSet + # save the table + tab_detached = _d[0]['TILTS']['tilt_traces'] + # remove `tab_detached` from the dict + _d[0]['TILTS'].pop('tilt_traces') + # add the table as a separate extension + return [_d[0], {'tilt_traces': tab_detached}] def is_synced(self, slits): """ @@ -192,18 +200,20 @@ def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga else: msgs.err('Tiltimg not found.') - display.connect_to_ginga(raise_err=True, allow_new=True) - mean, med, sigma = sigma_clipped_stats(tilt_img, sigma_lower=5.0, sigma_upper=5.0) - cut_min = mean - 1.0 * sigma - cut_max = mean + 4.0 * sigma + + # mean, med, sigma = sigma_clipped_stats(tilt_img, sigma_lower=5.0, sigma_upper=5.0) + # cut_min = mean - 1.0 * sigma + # cut_max = mean + 4.0 * sigma + cut = utils.growth_lim(tilt_img, 0.98, fac=1) if in_ginga: - viewer, ch = display.show_image(tilt_img, chname='Tilts', cuts=(cut_min, cut_max), + display.connect_to_ginga(raise_err=True, allow_new=True) + viewer, ch = display.show_image(tilt_img, chname='Tilts', cuts=(cut[0], cut[1]), wcs_match=wcs_match, waveimg=waveimg, clear=True) - # display.show_tilts(viewer, ch, self.trace_dict) + display.show_tilts(viewer, ch, self.tilt_traces) if slits is not None: display.show_slits(viewer, ch, left[:, gpm], right[:, gpm], slit_ids=slits.spat_id[gpm]) else: - show_tilts_mpl(tilt_img, self.trace_dict, cut=(cut_min, cut_max)) + show_tilts_mpl(tilt_img, self.tilt_traces, cut=(cut[0], cut[1])) class BuildWaveTilts: @@ -735,10 +745,10 @@ def run(self, doqa=True, debug=False, show=False): self.final_tilts[thismask_science] = self.tilts[thismask_science] if show: - display.show_tilts(viewer, ch, self.all_trace_dict) + display.show_tilts(viewer, ch, self.make_tbl_tilt_traces()) if debug: - show_tilts_mpl(_mstilt, self.all_trace_dict) + show_tilts_mpl(self.mstilt.image*(self.slitmask > -1), self.make_tbl_tilt_traces()) # Record the Mask bpmtilts = np.zeros_like(self.slits.mask, dtype=self.slits.bitmask.minimum_dtype()) @@ -753,9 +763,74 @@ def run(self, doqa=True, debug=False, show=False): 'spat_order':self.spat_order, 'spec_order':self.spec_order, 'spat_id':self.slits.spat_id, 'bpmtilts': bpmtilts, 'spat_flexure': self.spat_flexure, 'PYP_SPEC': self.spectrograph.name, - 'trace_dict_list': np.array(self.all_trace_dict)} + 'tilt_traces': self.make_tbl_tilt_traces()} return WaveTilts(**tilts_dict) + def make_tbl_tilt_traces(self): + """ + Make a Table of the traced and fitted tilts from self.all_trace_dict + to save into the WaveTilts object + + Returns: + `astropy.table.Table`_: Table including the traced and fitted tilts for each slit. + Columns are: + + - goodpix_spat: Good spatial pixels of the traced tilts + - goodpix_tilt: Good spectral pixels of the traced tilts + - badpix_spat: Masked spatial pixels of the traced tilts + - badpix_tilt: Masked spectral pixels of the traced tilts + - good2dfit_spat: Good spatial pixels of the 2D fit of the tilts + - good2dfit_tilt: Good spectral pixels of the 2D fit of the tilts + - bad2dfit_spat: Rejected spatial pixels of the 2D fit of the tilts + - bad2dfit_tilt: Rejected spectral pixels of the 2D fit of the tilts + + """ + + if self.all_trace_dict is None: + msgs.error('No tilts have been traced and fit yet. Run the run() method first.') + + # good&bad traces + goodpix_spat = np.array([]) + goodpix_tilt = np.array([]) + badpix_spat = np.array([]) + badpix_tilt = np.array([]) + + # good&bad fits + good2dfit_spat = np.array([]) + good2dfit_tilt = np.array([]) + bad2dfit_spat = np.array([]) + bad2dfit_tilt = np.array([]) + + # fill the arrays + for i, trc in enumerate(self.all_trace_dict): + if trc is not None: + gpix = trc['tot_mask'] + goodpix_spat = np.append(goodpix_spat, trc['tilts_spat'].flatten()[gpix.flatten()]) + goodpix_tilt = np.append(goodpix_tilt, trc['tilts'].flatten()[gpix.flatten()]) + bpix = np.invert(gpix) & (trc['tilts'] > 0) + badpix_spat = np.append(badpix_spat, trc['tilts_spat'].flatten()[bpix.flatten()]) + badpix_tilt = np.append(badpix_tilt, trc['tilts'].flatten()[bpix.flatten()]) + gfit = gpix & trc['fit_mask'] + good2dfit_spat = np.append(good2dfit_spat, trc['tilts_spat'].flatten()[gfit.flatten()]) + good2dfit_tilt = np.append(good2dfit_tilt, trc['tilt_2dfit'].flatten()[gfit.flatten()]) + bfit = gpix & np.invert(trc['fit_mask']) + bad2dfit_spat = np.append(bad2dfit_spat, trc['tilts_spat'].flatten()[bfit.flatten()]) + bad2dfit_tilt = np.append(bad2dfit_tilt, trc['tilt_2dfit'].flatten()[bfit.flatten()]) + + # fill the table + tbl_tilt_traces = table.Table() + # traced tilts + tbl_tilt_traces['goodpix_spat'] = np.expand_dims(goodpix_spat, axis=0) + tbl_tilt_traces['goodpix_tilt'] = np.expand_dims(goodpix_tilt, axis=0) + tbl_tilt_traces['badpix_spat'] = np.expand_dims(badpix_spat, axis=0) + tbl_tilt_traces['badpix_tilt'] = np.expand_dims(badpix_tilt, axis=0) + # fitted tilts + tbl_tilt_traces['good2dfit_spat'] = np.expand_dims(good2dfit_spat, axis=0) + tbl_tilt_traces['good2dfit_tilt'] = np.expand_dims(good2dfit_tilt, axis=0) + tbl_tilt_traces['bad2dfit_spat'] = np.expand_dims(bad2dfit_spat, axis=0) + tbl_tilt_traces['bad2dfit_tilt'] = np.expand_dims(bad2dfit_tilt, axis=0) + return tbl_tilt_traces + def _parse_param(self, par, key, slit): """ Grab a parameter for a given slit @@ -790,47 +865,40 @@ def __repr__(self): return txt -def show_tilts_mpl(tilt_img, trace_dict, cut=None): +def show_tilts_mpl(tilt_img, tilt_traces, cut=None): """Show the tilts image with the traces overlaid Args: - tilt_img (np.ndarray): + tilt_img (`np.ndarray`_): Tilts image - trace_dict (dict): - Dictionary containing the trace data + tilt_traces (`astropy.table.Table`_): + Table containing the traced and fitted tilts cut (tuple, optional): Lower and upper levels cut for the image display """ if cut is None: - cut = utils.growth_lim(tilt_img, 0.95, fac=1.05) + cut = utils.growth_lim(tilt_img, 0.98, fac=1) w, h = plt.figaspect(1) fig = plt.figure(figsize=(1.5 * w, 1.5 * h)) plt.imshow(tilt_img, origin='lower', interpolation='nearest', aspect='auto', vmin=cut[0], vmax=cut[1]) - for tdict in trace_dict: - spat = tdict['tilts_spat'] - spec = tdict['tilts'] - spec_fit = tdict['tilt_2dfit'] - in_fit = tdict['tot_mask'] - not_fit = np.invert(in_fit) & (spec > 0) - fit_rej = in_fit & np.invert(tdict['fit_mask']) - fit_keep = in_fit & tdict['fit_mask'] - plt.scatter(spat[not_fit], spec[not_fit], color='red', marker='.', s=30, lw=0) - plt.scatter(spat[fit_rej], spec[fit_rej], color='magenta', marker='.', s=30, lw=0) - plt.scatter(spat[fit_keep], spec[fit_keep], color='cyan', marker='.', s=30, lw=0) - with_fit = np.invert(np.all(np.invert(fit_keep), axis=0)) - for t in range(in_fit.shape[1]): - if not with_fit[t]: - continue - l, r = np.nonzero(in_fit[:, t])[0][[0, -1]] - plt.plot(spat[l:r + 1, t], spec_fit[l:r + 1, t], color='blue', linewidth=1) - plt.text(0.02, 0.05, 'Masked trace', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='red') - plt.text(0.02, 0.08, 'Rejected in fit', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='magenta') - plt.text(0.02, 0.11, 'Good trace', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='cyan') - plt.text(0.02, 0.14, 'Good tilt fit', transform=plt.gca().transAxes, ha='left', va='top', fontsize=10, color='blue') + + if tilt_traces['goodpix_tilt'][0].size > 0: + plt.scatter(tilt_traces['goodpix_spat'][0], tilt_traces['goodpix_tilt'][0], color='cyan', + marker='s', s=20, lw=0, label='Good trace') + if tilt_traces['badpix_tilt'][0].size > 0: + plt.scatter(tilt_traces['badpix_spat'], tilt_traces['badpix_tilt'], color='red', + marker='s', s=20, lw=0, label='Masked trace') + if tilt_traces['good2dfit_tilt'][0].size > 0: + plt.scatter(tilt_traces['good2dfit_spat'][0], tilt_traces['good2dfit_tilt'][0], color='blue', + marker='.', s=10, lw=0, label='Good tilt fit') + if tilt_traces['bad2dfit_tilt'][0].size > 0: + plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='magenta', + marker='.', s=10, lw=0, label='Rejected in fit') + plt.legend() plt.ylabel('Spectral pixel index') plt.xlabel('Spatial pixel index') fig.tight_layout() From 9cd8c8264cbb34f8cb2bb345f73015b4976f7d38 Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 14 Apr 2023 13:11:24 +0100 Subject: [PATCH 224/308] fix tilts --- pypeit/core/datacube.py | 2 +- pypeit/slittrace.py | 1 - pypeit/spectrographs/keck_kcwi.py | 1 + 3 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index f4a21f9baa..0e73ca5832 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1387,7 +1387,6 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): wave_ref = None mnmx_wv = None # Will be used to store the minimum and maximum wavelengths of every slit and frame. weights = np.ones(numfiles) # Weights to use when combining cubes - locations = parset['calibrations']['alignment']['locations'] flat_splines = dict() # A dictionary containing the splines of the flatfield # Load the default scaleimg frame for the scale correction relScaleImgDef = np.array([1]) @@ -1575,6 +1574,7 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): locations = [0.0, 1.0] traces = np.append(left[:,None,:], right[:,None,:], axis=1) else: + locations = parset['calibrations']['alignment']['locations'] traces = alignments.traces # Generate an RA/DEC image msgs.info("Generating RA/DEC image") diff --git a/pypeit/slittrace.py b/pypeit/slittrace.py index 1f21a20b4c..e714451a89 100644 --- a/pypeit/slittrace.py +++ b/pypeit/slittrace.py @@ -60,7 +60,6 @@ def exclude_for_flexure(self): 'SKIPFLATCALIB', 'BADFLATCALIB', 'BADSKYSUB', 'BADEXTRACT'] - class SlitTraceSet(datamodel.DataContainer): """ Defines a generic class for holding and manipulating image traces diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index f28aca965e..f918907251 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -236,6 +236,7 @@ def default_pypeit_par(cls): # Set the slit edge parameters par['calibrations']['slitedges']['fit_order'] = 4 + par['calibrations']['slitedges']['pad'] = 2 # Need to pad out the tilts for the astrometric transform when creating a datacube. # Alter the method used to combine pixel flats par['calibrations']['pixelflatframe']['process']['combine'] = 'median' From e028b82119569d523d6a255476ba57f00b42eb0f Mon Sep 17 00:00:00 2001 From: rcooke Date: Fri, 14 Apr 2023 13:12:54 +0100 Subject: [PATCH 225/308] update changes --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index 6dcce31461..41c295ed67 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -8,6 +8,7 @@ - Deprecate use of python 3.8 with PypeIt, allow python 3.11 - Make pypeit_show_2dspec (somewhat) backwards compatible. - Added the option to disable strict version checking for 1d coadds. +- Hotfix for KCWI when using alignment (aka ContBars) frames for the astrometric correction. 1.12.2 (29 Mar 2023) -------------------- From da69924ff0df1d4c241c38a551180c490f82f810 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 14 Apr 2023 08:01:48 -0700 Subject: [PATCH 226/308] bug fixes --- pypeit/scripts/chk_wavecalib.py | 26 ++++++++++++-------------- pypeit/scripts/identify.py | 4 ++-- pypeit/scripts/parse_slits.py | 27 +++++++++++++-------------- 3 files changed, 27 insertions(+), 30 deletions(-) diff --git a/pypeit/scripts/chk_wavecalib.py b/pypeit/scripts/chk_wavecalib.py index f3d2a98a58..0b78f28167 100644 --- a/pypeit/scripts/chk_wavecalib.py +++ b/pypeit/scripts/chk_wavecalib.py @@ -27,26 +27,21 @@ def main(args): from IPython import embed from pypeit import wavecalib, spec2dobj - # What kind of file are we?? Similar to pypeit_parse_slits - hdul = fits.open(args.input_file) - head0 = hdul[0].header - if 'CALIBTYP' in head0.keys() and head0['CALIBTYP'].strip() == 'WaveCalib': - file_type = 'WaveCalib' - elif 'PYP_CLS' in head0.keys() and head0['PYP_CLS'].strip() == 'AllSpec2DObj': - file_type = 'AllSpec2D' - else: - raise IOError("Unrecognized file type. Must be a WaveCalib or spec2d file.") - - if file_type == 'WaveCalib': + try: # Load waveCalib = wavecalib.WaveCalib.from_file(args.input_file) #, chk_version=(not args.try_old)) - # print + except: + pass + else: waveCalib.wave_diagnostics(print_diag=True) + return - elif file_type == 'AllSpec2D': - # Load + try: allspec2D = spec2dobj.AllSpec2DObj.from_fits(args.input_file, chk_version=False) + except: + pass + else: for det in allspec2D.detectors: print('='*44 + f'{det:^7}' + '='*44) wave_diag = allspec2D[det].wavesol @@ -55,5 +50,8 @@ def main(args): for colname in ['dWave', 'RMS']: wave_diag[colname].format = '0.3f' print(wave_diag) + return + # Should not get here unless it can't read either file type + raise IOError("Unrecognized file type. Must be a WaveCalib or spec2d file.") diff --git a/pypeit/scripts/identify.py b/pypeit/scripts/identify.py index eda7edc4ce..bb950d7764 100644 --- a/pypeit/scripts/identify.py +++ b/pypeit/scripts/identify.py @@ -83,8 +83,8 @@ def main(args): # Load the calibration frame (if it exists and is desired). Bad-pixel mask # set to any flagged pixel in Arc. - wavecal = BuildWaveCalib(msarc, slits, spec, par, lamps, binspectral=slits.binspec, - det=args.det, msbpm=msarc.select_flag()) + wavecal = BuildWaveCalib(msarc, slits, spec, par, lamps, det=args.det, + msbpm=msarc.select_flag()) arccen, arc_maskslit = wavecal.extract_arcs(slitIDs=[args.slit]) # Launch the identify window diff --git a/pypeit/scripts/parse_slits.py b/pypeit/scripts/parse_slits.py index cbc3804d98..56b327b9f1 100644 --- a/pypeit/scripts/parse_slits.py +++ b/pypeit/scripts/parse_slits.py @@ -48,26 +48,25 @@ def main(pargs): from pypeit import spec2dobj - - # What kind of file are we?? - hdul = fits.open(pargs.input_file) - head0 = hdul[0].header - if 'MSTRTYP' in head0.keys() and head0['MSTRTYP'].strip() == 'Slits': - file_type = 'Slits' - elif 'PYP_CLS' in head0.keys() and head0['PYP_CLS'].strip() == 'AllSpec2DObj': - file_type = 'AllSpec2D' - else: - raise IOError("Bad file type input!") - - if file_type == 'Slits': + try: slits = slittrace.SlitTraceSet.from_file(pargs.input_file)#, chk_version=False) + except: + pass + else: print_slits(slits) - elif file_type == 'AllSpec2D': - # Load + return + + try: allspec2D = spec2dobj.AllSpec2DObj.from_fits(pargs.input_file, chk_version=False) + except: + pass + else: # Loop on Detectors for det in allspec2D.detectors: print('='*30 + f'{det:^7}' + '='*30) spec2Dobj = allspec2D[det] print_slits(spec2Dobj.slits) + return + + raise IOError("Bad file type input! Must be a Slits calibration frame or a spec2d file.") From 176c06281c3f4376a6dd8d1cd6868bea2406e848 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 13 Apr 2023 09:59:05 -0700 Subject: [PATCH 227/308] Remove codecov dependency --- setup.cfg | 2 -- 1 file changed, 2 deletions(-) diff --git a/setup.cfg b/setup.cfg index 2f8362332c..670cc997c6 100644 --- a/setup.cfg +++ b/setup.cfg @@ -69,7 +69,6 @@ test = tox pytest-cov coverage - codecov docs = sphinx<6,>=1.6 docutils<0.18 @@ -81,7 +80,6 @@ dev = tox pytest-cov coverage - codecov sphinx<6,>=1.6 docutils<0.18 sphinx-automodapi From 0de174cdef13a016136b82a1040149d0f9a1f57e Mon Sep 17 00:00:00 2001 From: deborape Date: Fri, 14 Apr 2023 14:31:28 -0700 Subject: [PATCH 228/308] done --- pypeit/display/display.py | 141 +++++--------------------------------- pypeit/wavetilts.py | 70 ++++++++++++------- 2 files changed, 62 insertions(+), 149 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index ba8fe27375..94d086cccd 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -283,9 +283,8 @@ def show_points(viewer, ch, spec, spat, color='cyan', legend=None, legend_spec=N canvas.add('constructedcanvas', canvas_list) - # TODO: Should we continue to allow rotate as an option? -def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids=None, maskdef_ids=None, spec_vals = None, +def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids=None, maskdef_ids=None, spec_vals=None, rotate=False, pstep=50, clear=False, synced=True): r""" Overplot slits on the image in Ginga in the given channel @@ -393,7 +392,6 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= if clear: canvas.clear() - # Label positions top = int(2*nspec/3.) bot = int(nspec/2.) @@ -411,21 +409,6 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= else (float(_left_id_loc[bot,i]), float(y[bot, i]), str('S{0}'.format(_left_ids[i]))), kwargs=dict(color=str('aquamarine'), fontsize=20., rot_deg=90.)) for i in range(nleft)] - # for i in range(nleft): - # points = list(zip(y[::pstep, i].tolist(), _left[::pstep,i].tolist())) if rotate \ - # else list(zip(_left[::pstep,i].tolist(), y[::pstep, i].tolist())) - # canvas.add(str('path'), points, color=str('green')) - # if not synced: - # # Add text - # xt, yt = float(_left_id_loc[top,i]), float(y[top, i]) - # xb, yb = float(_left_id_loc[bot,i]), float(y[bot, i]) - # if rotate: - # xt, yt = yt, xt - # xb, yb = yb, xb - # canvas.add(str('text'), xb, yb, str('S{0}'.format(_left_ids[i])), color=str('aquamarine'), - # fontsize=20., rot_deg=90.) - # #canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('green'), fontsize=20.) - # Plot rights. Points need to be int or float. Use of .tolist() on # each array insures this canvas_list += [dict(type=str('path'), @@ -440,21 +423,6 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= kwargs=dict(color=str('magenta'), fontsize=20., rot_deg=90.)) for i in range(nright)] canvas.add('constructedcanvas', canvas_list) - # for i in range(nright): - # points = list(zip(y[::pstep, i].tolist(), _right[::pstep,i].tolist())) if rotate \ - # else list(zip(_right[::pstep,i].tolist(), y[::pstep, i].tolist())) - # canvas.add(str('path'), points, color=str('magenta')) - # if not synced: - # # Add text - # xt, yt = float(_right_id_loc[top,i]), float(y[top]) - # xb, yb = float(_right_id_loc[bot,i]), float(y[bot]) - # if rotate: - # xt, yt = yt, xt - # xb, yb = yb, xb - # canvas.add(str('text'), xb, yb, str('S{0}'.format(_right_ids[i])), color=str('red'), - # fontsize=20.) - # canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('red'), - # fontsize=20.) # Plot slit labels, if synced if synced: @@ -470,25 +438,6 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= else (float(_slit_id_loc[bot,i]), float(y[bot, i])-250, str('S{0}'.format(_slit_ids[i]))), kwargs=dict(color=str('cyan'), fontsize=20., rot_deg=90.)) for i in range(nslits)] - - # if not synced: - # return - # for i in range(nslits): - # xt, yt = float(_slit_id_loc[top,i]), float(y[top,i]) - # xb, yb = float(_slit_id_loc[bot,i]), float(y[bot,i]) - # if rotate: - # xt, yt = yt, xt - # xb, yb = yb, xb - # # Slit IDs - # canvas.add(str('text'), xb, yb-400, str('S{0}'.format(_slit_ids[i])), color=str('aquamarine'), - # fontsize=20., rot_deg=90.) - # # maskdef_ids - # if _maskdef_ids is not None: - # canvas.add(str('text'), xb, yb-250, str('{0}'.format(_maskdef_ids[i])), - # color=str('cyan'), fontsize=20., rot_deg=90.) - # # TODO -- Fix indices if you really want to show them - # #canvas.add(str('text'), xt, yt, str('{0}'.format(i)), color=str('green'), - # # fontsize=20.) canvas.add('constructedcanvas', canvas_list) @@ -636,90 +585,36 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, clear_can if tilt_traces['goodpix_tilt'][0].size > 0 and points: # note: must cast numpy floats to regular python floats to pass the remote interface - canvas_list += [dict(type='squarebox', - args=(float(tilt_traces['goodpix_spat'][0][i] + xoff), - float(tilt_traces['goodpix_tilt'][0][i] + yoff), 0.8), - kwargs=dict(color='cyan', fill=True, fillalpha=0.5)) - for i in range(tilt_traces['goodpix_tilt'][0].size)] + goodpix_spat = tilt_traces['goodpix_spat'][0] + xoff + goodpix_tilt = tilt_traces['goodpix_tilt'][0] + yoff + canvas_list += [dict(type='squarebox', args=(float(goodpix_spat[i]), float(goodpix_tilt[i]), 1), + kwargs=dict(color='cyan', fill=True, fillalpha=0.5)) for i in range(goodpix_tilt.size)] if tilt_traces['badpix_tilt'][0].size > 0 and points: # note: must cast numpy floats to regular python floats to pass the remote interface - canvas_list += [dict(type='squarebox', - args=(float(tilt_traces['badpix_spat'][0][i] + xoff), - float(tilt_traces['badpix_tilt'][0][i] + yoff), 0.8), - kwargs=dict(color='red', fill=True, fillalpha=0.5)) - for i in range(tilt_traces['badpix_tilt'][0].size)] + badpix_spat = tilt_traces['badpix_spat'][0] + xoff + badpix_tilt = tilt_traces['badpix_tilt'][0] + yoff + canvas_list += [dict(type='squarebox', args=(float(badpix_spat[i]), float(badpix_tilt[i]), 1), + kwargs=dict(color='red', fill=True, fillalpha=0.5)) for i in range(badpix_tilt.size)] # Now plot the polynomial fits to the Gaussian weighted centroids if tilt_traces['good2dfit_tilt'][0].size > 0: - canvas_list += [dict(type='squarebox', - args=(float(tilt_traces['good2dfit_spat'][0][i] + xoff), - float(tilt_traces['good2dfit_tilt'][0][i] + yoff), 0.4), - kwargs=dict(color='blue', fill=True, fillalpha=0.5)) - for i in range(tilt_traces['good2dfit_tilt'][0].size)] + good2dfit_spat = tilt_traces['good2dfit_spat'][0] + xoff + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0] + yoff + canvas_list += [dict(type='squarebox', args=(float(good2dfit_spat[i]), float(good2dfit_tilt[i]), 0.5), + kwargs=dict(color='blue', fill=True, fillalpha=0.5)) for i in range(good2dfit_tilt.size)] if tilt_traces['bad2dfit_tilt'][0].size > 0: - canvas_list += [dict(type='squarebox', - args=(float(tilt_traces['bad2dfit_spat'][0][i] + xoff), - float(tilt_traces['bad2dfit_tilt'][0][i] + yoff), 0.4), - kwargs=dict(color='magenta', fill=True, fillalpha=0.5)) - for i in range(tilt_traces['bad2dfit_tilt'][0].size)] - - - # for i in range(len(trc_tilt_dict)): - # if trc_tilt_dict[i] is not None: - # # parse trc_tilt_dict - # tilts_spat = trc_tilt_dict[i]['tilts_spat'] - # tilts = trc_tilt_dict[i]['tilts'] - # tilts_fit = trc_tilt_dict[i]['tilt_2dfit'] - # in_fit = trc_tilt_dict[i]['tot_mask'] - # not_fit = np.invert(in_fit) & (tilts > 0) - # fit_rej = in_fit & np.invert(trc_tilt_dict[i]['fit_mask']) - # fit_keep = in_fit & trc_tilt_dict[i]['fit_mask'] - # - # # Plot the tilts - # nlines = tilts.shape[1] - # for iline in range(nlines): - # x = tilts_spat[:,iline] + xoff # FOR IMAGING (Ginga offsets this value by 1 internally) - # y = tilts[:, iline] + yoff - # this_infit = in_fit[:,iline] - # this_notfit = not_fit[:,iline] - # this_fitrej = fit_rej[:,iline] - # this_fitkeep = fit_keep[:,iline] - # - # if np.any(this_infit) and points: # Plot the gaussian weighted tilt centers - # # Plot the actual flux weighted centroids of the arc lines that were traced - # xgood = x[this_infit] - # ygood = y[this_infit] - # # note: must cast numpy floats to regular python floats to pass the remote interface - # points_good = [dict(type='squarebox', - # args=(float(xgood[i]), float(ygood[i]), 0.7), - # kwargs=dict(color='cyan',fill=True, fillalpha=0.5)) for i in range(len(xgood))] - # canvas_list += points_good - # if np.any(this_notfit) and points: - # xbad = x[this_notfit] - # ybad = y[this_notfit] - # # note: must cast numpy floats to regular python floats to pass the remote interface - # points_bad = [dict(type='squarebox', - # args=(float(xbad[i]), float(ybad[i]), 0.7), - # kwargs=dict(color='red', fill=True,fillalpha=0.5)) for i in range(len(xbad))] - # canvas_list += points_bad - # Now plot the polynomial fits to the Gaussian weighted centroids - # y = tilts_fit[:, iline] + yoff - # if np.any(this_fitrej): - # canvas_list += [dict(type=str('path'), - # args=(list(zip(x[this_fitrej][::pstep].tolist(), y[this_fitrej][::pstep].tolist())),), - # kwargs=dict(color='magenta', linewidth=1))] - # if np.any(this_fitkeep): - # canvas_list += [dict(type=str('path'), - # args=(list(zip(x[this_fitkeep][::pstep].tolist(), y[this_fitkeep][::pstep].tolist())),), - # kwargs=dict(color='blue', linewidth=1))] + bad2dfit_spat = tilt_traces['bad2dfit_spat'][0] + xoff + bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0] + yoff + canvas_list += [dict(type='squarebox', args=(float(bad2dfit_spat[i]), float(bad2dfit_tilt[i]), 0.5), + kwargs=dict(color='magenta', fill=True, fillalpha=0.5)) for i in range(bad2dfit_tilt.size)] # Add text text_xpos = 50 start_ypos = 50 text_ypos = [start_ypos + 90, start_ypos + 60, start_ypos + 30, start_ypos] text_color = ['blue', 'magenta', 'cyan', 'red'] - text_str = ['Good tilt fit', 'Rejected tilt fit', 'Good trace', 'Masked trace'] + text_str = ['Good tilt fit', 'Rejected in fit', 'Good pixel', 'Masked pixel'] canvas_list += [dict(type='text', args=(float(text_xpos), float(text_ypos[i]), str(text_str[i])), kwargs=dict(color=text_color[i], fontsize=20)) for i in range(len(text_str))] diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 4f46ed41d8..7388946e9e 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -67,13 +67,16 @@ class WaveTilts(datamodel.DataContainer): descr='Order for spectral fit (nslit)'), 'func2d': dict(otype=str, descr='Function used for the 2D fit'), 'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), + 'slits_calib_key': dict(otype=str, descr='SlitTraceSet calibration key. ' + 'This helps to find the Slits calibration ' + 'file when running pypeit_chk_tilts()'), 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage'), 'tilt_traces': dict(otype=table.Table, descr='Table with the positions of the ' 'traced and fitted tilts for all the slits. ' 'see make_tilt_table() for more details. ')} def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, - spat_flexure=None, PYP_SPEC=None, tilt_traces=None): + spat_flexure=None, PYP_SPEC=None, slits_calib_key=None, tilt_traces=None): # Parse args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -167,53 +170,55 @@ def spatid_to_zero(self, spat_id): def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga=True): """ """ - # master_key is different for Tilts and Slits sometimes # Warning: This parses the filename, not the Header! master_key, master_dir = masterframe.grab_key_mdir(self.filename, from_filename=True) + # get slits if not provided if slits is None: - slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, master_key, + slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, self.slits_calib_key, master_dir=master_dir) if os.path.exists(slit_masterframe_name): slits = slittrace.SlitTraceSet.from_file(slit_masterframe_name) else: msgs.warn('Could not load slits to show with tilts image.') - else: - left, right, mask = slits.select_edges() - gpm = mask == 0 - - if waveimg is None: + # slits can still be None if Slits file does not exist + if slits is not None: + # get slitmask, used for generating waveimg and to mask tiltimg + slitmask = slits.slit_img(initial=True, flexure=self.spat_flexure) + # get waveimg if not provided and if showing in ginga + if waveimg is None and in_ginga: wave_masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, master_key, master_dir=master_dir) if os.path.exists(wave_masterframe_name) and slits is not None: wv_calib = wavecalib.WaveCalib.from_file(wave_masterframe_name) - slitmask = slits.slit_img(initial=True, flexure=self.spat_flexure) tilts = self.fit2tiltimg(slitmask, flexure=self.spat_flexure) waveimg = wv_calib.build_waveimg(tilts, slits, spat_flexure=self.spat_flexure) else: msgs.warn('Could not load Wave image to show with tilts image.') + # get tiltimg if not provided if tilt_img is None: tiltimg_masterframe_name = masterframe.construct_file_name(buildimage.TiltImage, master_key, - master_dir=master_dir) + master_dir=master_dir) if os.path.exists(tiltimg_masterframe_name): tilt_img_dict = buildimage.TiltImage.from_file(tiltimg_masterframe_name) tilt_img = tilt_img_dict.image else: msgs.err('Tiltimg not found.') - - # mean, med, sigma = sigma_clipped_stats(tilt_img, sigma_lower=5.0, sigma_upper=5.0) - # cut_min = mean - 1.0 * sigma - # cut_max = mean + 4.0 * sigma cut = utils.growth_lim(tilt_img, 0.98, fac=1) + _tilt_img = tilt_img*(slitmask > -1) if slits is not None else tilt_img + # show in ginga if in_ginga: display.connect_to_ginga(raise_err=True, allow_new=True) - viewer, ch = display.show_image(tilt_img, chname='Tilts', cuts=(cut[0], cut[1]), + viewer, ch = display.show_image(_tilt_img, chname='Tilts', cuts=(cut[0], cut[1]), wcs_match=wcs_match, waveimg=waveimg, clear=True) display.show_tilts(viewer, ch, self.tilt_traces) if slits is not None: + left, right, mask = slits.select_edges() + gpm = mask == 0 display.show_slits(viewer, ch, left[:, gpm], right[:, gpm], slit_ids=slits.spat_id[gpm]) + # show in matplotlib else: - show_tilts_mpl(tilt_img, self.tilt_traces, cut=(cut[0], cut[1])) + show_tilts_mpl(_tilt_img, self.tilt_traces, slits=slits, cut=(cut[0], cut[1])) class BuildWaveTilts: @@ -668,10 +673,6 @@ def run(self, doqa=True, debug=False, show=False): self.spat_order = np.zeros(self.slits.nslits, dtype=int) self.spec_order = np.zeros(self.slits.nslits, dtype=int) - # TODO sort out show methods for debugging - if show: - viewer,ch = display.show_image(self.mstilt.image*(self.slitmask > -1),chname='tilts') - # Loop on all slits for slit_idx, slit_spat in enumerate(self.slits.spat_id): if self.tilt_bpm[slit_idx]: @@ -745,6 +746,7 @@ def run(self, doqa=True, debug=False, show=False): self.final_tilts[thismask_science] = self.tilts[thismask_science] if show: + viewer, ch = display.show_image(self.mstilt.image * (self.slitmask > -1), chname='tilts') display.show_tilts(viewer, ch, self.make_tbl_tilt_traces()) if debug: @@ -763,7 +765,7 @@ def run(self, doqa=True, debug=False, show=False): 'spat_order':self.spat_order, 'spec_order':self.spec_order, 'spat_id':self.slits.spat_id, 'bpmtilts': bpmtilts, 'spat_flexure': self.spat_flexure, 'PYP_SPEC': self.spectrograph.name, - 'tilt_traces': self.make_tbl_tilt_traces()} + 'slits_calib_key': self.slits.master_key, 'tilt_traces': self.make_tbl_tilt_traces()} return WaveTilts(**tilts_dict) def make_tbl_tilt_traces(self): @@ -865,7 +867,7 @@ def __repr__(self): return txt -def show_tilts_mpl(tilt_img, tilt_traces, cut=None): +def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): """Show the tilts image with the traces overlaid Args: @@ -873,6 +875,8 @@ def show_tilts_mpl(tilt_img, tilt_traces, cut=None): Tilts image tilt_traces (`astropy.table.Table`_): Table containing the traced and fitted tilts + slits (`slittrace.SlitTraceSet`_, optional): + SlitTraceSet object cut (tuple, optional): Lower and upper levels cut for the image display """ @@ -888,16 +892,30 @@ def show_tilts_mpl(tilt_img, tilt_traces, cut=None): if tilt_traces['goodpix_tilt'][0].size > 0: plt.scatter(tilt_traces['goodpix_spat'][0], tilt_traces['goodpix_tilt'][0], color='cyan', - marker='s', s=20, lw=0, label='Good trace') + marker='s', s=20, lw=0, label='Good pixel') if tilt_traces['badpix_tilt'][0].size > 0: plt.scatter(tilt_traces['badpix_spat'], tilt_traces['badpix_tilt'], color='red', - marker='s', s=20, lw=0, label='Masked trace') + marker='s', s=20, lw=0, label='Masked pixel') if tilt_traces['good2dfit_tilt'][0].size > 0: plt.scatter(tilt_traces['good2dfit_spat'][0], tilt_traces['good2dfit_tilt'][0], color='blue', - marker='.', s=10, lw=0, label='Good tilt fit') + marker='s', s=5, lw=0, label='Good tilt fit') if tilt_traces['bad2dfit_tilt'][0].size > 0: plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='magenta', - marker='.', s=10, lw=0, label='Rejected in fit') + marker='s', s=5, lw=0, label='Rejected in fit') + + if slits is not None: + pstep = 50 + left, right, mask = slits.select_edges() + gpm = mask == 0 + for i in range(left.shape[1]): + if gpm[i]: + spec = np.arange(left[:, i].size) + plt.plot(left[::pstep, i], spec[::pstep], color='C3', lw=1) + plt.plot(right[::pstep, i], spec[::pstep], color='C1', lw=1) + x_spatid = left[spec.size//2, i] + 0.45*(right[spec.size//2, i] - left[spec.size//2, i]) + y_spatid = spec[spec.size//2] + plt.text(x_spatid, y_spatid, str(slits.spat_id[i]), color='k', fontsize=10, alpha=0.7, weight='bold') + plt.legend() plt.ylabel('Spectral pixel index') plt.xlabel('Spatial pixel index') From 4d2dc606cbd0b190f25292b0b72ebfbebc5d5b78 Mon Sep 17 00:00:00 2001 From: deborape Date: Sat, 15 Apr 2023 18:16:26 -0700 Subject: [PATCH 229/308] more improvements to speed up ginga --- pypeit/display/display.py | 84 ++++++++++++++++++++++++--------------- pypeit/wavetilts.py | 25 +++++++++--- 2 files changed, 72 insertions(+), 37 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 94d086cccd..13a414817d 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -24,6 +24,7 @@ from pypeit import msgs from pypeit import io +from pypeit import utils def connect_to_ginga(host='localhost', port=9000, raise_err=False, allow_new=False): """ @@ -476,24 +477,6 @@ def show_trace(viewer, ch, trace, trc_name=None, maskdef_extr=None, manual_extr= canvas = viewer.canvas(ch._chname) if clear: canvas.clear() - # # Show - # if yval is None: - # y = (np.arange(trace.size)[::pstep]).tolist() - # else: - # y = yval[::pstep].tolist() - # trace_list = trace[::pstep].tolist() - # xy = [trace_list, y] - # if rotate: - # xy[0], xy[1] = xy[1], xy[0] - # points = list(zip(xy[0], xy[1])) - # canvas.add(str('path'), points, color=str(color)) - # # Text - # ohf = len(trace_list)//2 - # xyt = [float(trace_list[ohf]), float(y[ohf])] - # if rotate: - # xyt[0], xyt[1] = xyt[1], xyt[0] - # # Do it - # canvas.add(str('text'), xyt[0], xyt[1], trc_name, rot_deg=90., color=str(color), fontsize=17.) if trace.ndim == 1: trace = trace.reshape(-1,1) @@ -556,7 +539,7 @@ def clear_all(allow_new=False): shell.delete_channel(ch) -def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, clear_canvas=False): +def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, clear_canvas=False): """ Show the arc tilts on the input channel @@ -573,10 +556,16 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, clear_can Offset tilts by this amount points (bool, optional): Plot the Gaussian-weighted tilt centers + pstep (int, optional): + Show every pstep point of the tilts as opposed to *every* + point, recommended for speed. clear_canvas (bool, optional): Clear the canvas first? """ + if tilt_traces['slit_ledges'][0].size == 0: + return msgs.error('No tilts have been traced or fitted') + canvas = viewer.canvas(ch._chname) if clear_canvas: canvas.clear() @@ -597,23 +586,56 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, clear_can canvas_list += [dict(type='squarebox', args=(float(badpix_spat[i]), float(badpix_tilt[i]), 1), kwargs=dict(color='red', fill=True, fillalpha=0.5)) for i in range(badpix_tilt.size)] - # Now plot the polynomial fits to the Gaussian weighted centroids - if tilt_traces['good2dfit_tilt'][0].size > 0: - good2dfit_spat = tilt_traces['good2dfit_spat'][0] + xoff - good2dfit_tilt = tilt_traces['good2dfit_tilt'][0] + yoff - canvas_list += [dict(type='squarebox', args=(float(good2dfit_spat[i]), float(good2dfit_tilt[i]), 0.5), - kwargs=dict(color='blue', fill=True, fillalpha=0.5)) for i in range(good2dfit_tilt.size)] - if tilt_traces['bad2dfit_tilt'][0].size > 0: - bad2dfit_spat = tilt_traces['bad2dfit_spat'][0] + xoff - bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0] + yoff - canvas_list += [dict(type='squarebox', args=(float(bad2dfit_spat[i]), float(bad2dfit_tilt[i]), 0.5), - kwargs=dict(color='magenta', fill=True, fillalpha=0.5)) for i in range(bad2dfit_tilt.size)] + # Now plot the 2D fitted tilts + # loop over each slit + for i in range(tilt_traces['slit_ledges'][0].size): + # good fit + this_slit = (tilt_traces['good2dfit_spat'][0] < tilt_traces['slit_redges'][0][i]) & \ + (tilt_traces['good2dfit_spat'][0] > tilt_traces['slit_ledges'][0][i]) + if np.any(this_slit): + good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_slit] + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_slit] + # try to split the array into each line. This is for improving speed + # sort tilts + tsort = np.argsort(good2dfit_tilt) + # find values that are close together + close = np.diff(good2dfit_tilt[tsort]) < 0.5 + # divide into slices, each including a line + lines = utils.contiguous_true(close) + # plot + for iline in lines: + x = good2dfit_spat[tsort][iline] + xoff + y = good2dfit_tilt[tsort][iline] + xoff + canvas_list += [dict(type=str('path'),args=(list(zip(x[::pstep].tolist(), y[::pstep].tolist())),), + kwargs=dict(color='blue', linewidth=2))] + + # rejected fit + this_slit = (tilt_traces['bad2dfit_spat'][0] < tilt_traces['slit_redges'][0][i]) & \ + (tilt_traces['bad2dfit_tilt'][0] > tilt_traces['slit_ledges'][0][i]) + if np.any(this_slit): + bad2dfit_spat = tilt_traces['bad2dfit_spat'][0][this_slit] + bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0][this_slit] + # try to split the array into each line. This is for improving speed + # sort tilts + tsort = np.argsort(bad2dfit_tilt) + # find values that are close together + close = np.diff(bad2dfit_tilt[tsort]) < 0.5 + # divide into slices, each including a line + lines = utils.contiguous_true(close) + # plot + for iline in lines: + x = bad2dfit_spat[tsort][iline] + xoff + y = bad2dfit_tilt[tsort][iline] + xoff + + canvas_list += [dict(type=str('path'), + args=(list(zip(x[::pstep].tolist(), y[::pstep].tolist())),), + kwargs=dict(color='yellow', linewidth=2))] # Add text text_xpos = 50 start_ypos = 50 text_ypos = [start_ypos + 90, start_ypos + 60, start_ypos + 30, start_ypos] - text_color = ['blue', 'magenta', 'cyan', 'red'] + text_color = ['blue', 'yellow', 'cyan', 'red'] text_str = ['Good tilt fit', 'Rejected in fit', 'Good pixel', 'Masked pixel'] canvas_list += [dict(type='text', args=(float(text_xpos), float(text_ypos[i]), str(text_str[i])), kwargs=dict(color=text_color[i], fontsize=20)) for i in range(len(text_str))] diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 7388946e9e..1a9644503b 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -777,6 +777,8 @@ def make_tbl_tilt_traces(self): `astropy.table.Table`_: Table including the traced and fitted tilts for each slit. Columns are: + - slit_ledges: Spatial pixels of the left slit edges (mean over the spectral range) + - slit_redges: Spatial pixels of the right slit edges (mean over the spectral range) - goodpix_spat: Good spatial pixels of the traced tilts - goodpix_tilt: Good spectral pixels of the traced tilts - badpix_spat: Masked spatial pixels of the traced tilts @@ -803,9 +805,16 @@ def make_tbl_tilt_traces(self): bad2dfit_spat = np.array([]) bad2dfit_tilt = np.array([]) + slit_ledges = np.array([]) + slit_redges = np.array([]) + # fill the arrays for i, trc in enumerate(self.all_trace_dict): if trc is not None: + slit_ledges = np.append(slit_ledges, np.mean(self.slits.left_tweak[:, i]) + if self.slits.left_tweak is not None else np.mean(self.slits.left_init[:, i])) + slit_redges = np.append(slit_redges, np.mean(self.slits.right_tweak[:, i]) + if self.slits.right_tweak is not None else np.mean(self.slits.right_init[:, i])) gpix = trc['tot_mask'] goodpix_spat = np.append(goodpix_spat, trc['tilts_spat'].flatten()[gpix.flatten()]) goodpix_tilt = np.append(goodpix_tilt, trc['tilts'].flatten()[gpix.flatten()]) @@ -821,6 +830,9 @@ def make_tbl_tilt_traces(self): # fill the table tbl_tilt_traces = table.Table() + # slit edges + tbl_tilt_traces['slit_ledges'] = np.expand_dims(slit_ledges, axis=0) + tbl_tilt_traces['slit_redges'] = np.expand_dims(slit_redges, axis=0) # traced tilts tbl_tilt_traces['goodpix_spat'] = np.expand_dims(goodpix_spat, axis=0) tbl_tilt_traces['goodpix_tilt'] = np.expand_dims(goodpix_tilt, axis=0) @@ -887,7 +899,7 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): w, h = plt.figaspect(1) fig = plt.figure(figsize=(1.5 * w, 1.5 * h)) - plt.imshow(tilt_img, origin='lower', interpolation='nearest', aspect='auto', + plt.imshow(tilt_img, origin='lower', interpolation='nearest', aspect='auto', cmap='gray', vmin=cut[0], vmax=cut[1]) if tilt_traces['goodpix_tilt'][0].size > 0: @@ -900,7 +912,7 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): plt.scatter(tilt_traces['good2dfit_spat'][0], tilt_traces['good2dfit_tilt'][0], color='blue', marker='s', s=5, lw=0, label='Good tilt fit') if tilt_traces['bad2dfit_tilt'][0].size > 0: - plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='magenta', + plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='yellow', marker='s', s=5, lw=0, label='Rejected in fit') if slits is not None: @@ -910,11 +922,12 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): for i in range(left.shape[1]): if gpm[i]: spec = np.arange(left[:, i].size) - plt.plot(left[::pstep, i], spec[::pstep], color='C3', lw=1) - plt.plot(right[::pstep, i], spec[::pstep], color='C1', lw=1) - x_spatid = left[spec.size//2, i] + 0.45*(right[spec.size//2, i] - left[spec.size//2, i]) + plt.plot(left[::pstep, i], spec[::pstep], color='green', lw=2) + plt.plot(right[::pstep, i], spec[::pstep], color='magenta', lw=2) + x_spatid = left[spec.size//2, i] + 0.10*(right[spec.size//2, i] - left[spec.size//2, i]) y_spatid = spec[spec.size//2] - plt.text(x_spatid, y_spatid, str(slits.spat_id[i]), color='k', fontsize=10, alpha=0.7, weight='bold') + plt.text(x_spatid, y_spatid, str(slits.spat_id[i]), color='aquamarine', fontsize=10, alpha=1, + weight='bold', rotation='vertical') plt.legend() plt.ylabel('Spectral pixel index') From a988d1925b0e339d02c3dd138d21242565709161 Mon Sep 17 00:00:00 2001 From: deborape Date: Sun, 16 Apr 2023 15:35:11 -1000 Subject: [PATCH 230/308] more improvements to speed up ginga --- pypeit/display/display.py | 79 ++++++++++---------- pypeit/scripts/chk_tilts.py | 16 ++-- pypeit/wavetilts.py | 142 ++++++++++++++++++++++++------------ 3 files changed, 145 insertions(+), 92 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 13a414817d..6ef1018dbf 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -539,7 +539,7 @@ def clear_all(allow_new=False): shell.delete_channel(ch) -def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, clear_canvas=False): +def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=None, pstep=3, clear_canvas=False): """ Show the arc tilts on the input channel @@ -556,6 +556,8 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, Offset tilts by this amount points (bool, optional): Plot the Gaussian-weighted tilt centers + nspec (int, optional): + Number of spectral pixels in the TiltImage pstep (int, optional): Show every pstep point of the tilts as opposed to *every* point, recommended for speed. @@ -563,7 +565,7 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, Clear the canvas first? """ - if tilt_traces['slit_ledges'][0].size == 0: + if tilt_traces['slit_ids'][0].size == 0: return msgs.error('No tilts have been traced or fitted') canvas = viewer.canvas(ch._chname) @@ -572,6 +574,9 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, canvas_list = [] + # Plot traced tilts + # We just plot the points, so we do not need to loop over each slit/line + # This makes the plotting much very slow, this is why we make it optional by using the points keyword if tilt_traces['goodpix_tilt'][0].size > 0 and points: # note: must cast numpy floats to regular python floats to pass the remote interface goodpix_spat = tilt_traces['goodpix_spat'][0] + xoff @@ -579,19 +584,11 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, canvas_list += [dict(type='squarebox', args=(float(goodpix_spat[i]), float(goodpix_tilt[i]), 1), kwargs=dict(color='cyan', fill=True, fillalpha=0.5)) for i in range(goodpix_tilt.size)] - if tilt_traces['badpix_tilt'][0].size > 0 and points: - # note: must cast numpy floats to regular python floats to pass the remote interface - badpix_spat = tilt_traces['badpix_spat'][0] + xoff - badpix_tilt = tilt_traces['badpix_tilt'][0] + yoff - canvas_list += [dict(type='squarebox', args=(float(badpix_spat[i]), float(badpix_tilt[i]), 1), - kwargs=dict(color='red', fill=True, fillalpha=0.5)) for i in range(badpix_tilt.size)] - - # Now plot the 2D fitted tilts + # Plot the 2D fitted tilts # loop over each slit - for i in range(tilt_traces['slit_ledges'][0].size): + for islit in tilt_traces['slit_ids'][0]: # good fit - this_slit = (tilt_traces['good2dfit_spat'][0] < tilt_traces['slit_redges'][0][i]) & \ - (tilt_traces['good2dfit_spat'][0] > tilt_traces['slit_ledges'][0][i]) + this_slit = tilt_traces['good2dfit_slitid'][0] == islit if np.any(this_slit): good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_slit] good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_slit] @@ -599,44 +596,44 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, pstep=3, # sort tilts tsort = np.argsort(good2dfit_tilt) # find values that are close together - close = np.diff(good2dfit_tilt[tsort]) < 0.5 + close = np.diff(good2dfit_tilt[tsort]) <= 1. # divide into slices, each including a line lines = utils.contiguous_true(close) - # plot + # loop over each line, this allows to use type='path' and therefore a faster plotting for iline in lines: x = good2dfit_spat[tsort][iline] + xoff y = good2dfit_tilt[tsort][iline] + xoff canvas_list += [dict(type=str('path'),args=(list(zip(x[::pstep].tolist(), y[::pstep].tolist())),), kwargs=dict(color='blue', linewidth=2))] - # rejected fit - this_slit = (tilt_traces['bad2dfit_spat'][0] < tilt_traces['slit_redges'][0][i]) & \ - (tilt_traces['bad2dfit_tilt'][0] > tilt_traces['slit_ledges'][0][i]) - if np.any(this_slit): - bad2dfit_spat = tilt_traces['bad2dfit_spat'][0][this_slit] - bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0][this_slit] - # try to split the array into each line. This is for improving speed - # sort tilts - tsort = np.argsort(bad2dfit_tilt) - # find values that are close together - close = np.diff(bad2dfit_tilt[tsort]) < 0.5 - # divide into slices, each including a line - lines = utils.contiguous_true(close) - # plot - for iline in lines: - x = bad2dfit_spat[tsort][iline] + xoff - y = bad2dfit_tilt[tsort][iline] + xoff - - canvas_list += [dict(type=str('path'), - args=(list(zip(x[::pstep].tolist(), y[::pstep].tolist())),), - kwargs=dict(color='yellow', linewidth=2))] + # Now plot the masked traces and the rejected 2D fits + # We just plot the points, so we do not need to loop over each slit/line + # masked traces + if tilt_traces['badpix_tilt'][0].size > 0: + # note: must cast numpy floats to regular python floats to pass the remote interface + badpix_spat = tilt_traces['badpix_spat'][0] + xoff + badpix_tilt = tilt_traces['badpix_tilt'][0] + yoff + canvas_list += [dict(type='squarebox', args=(float(badpix_spat[i]), float(badpix_tilt[i]), 1), + kwargs=dict(color='red', fill=True, fillalpha=0.5)) for i in range(badpix_tilt.size)] + # rejected fit + if tilt_traces['bad2dfit_tilt'][0].size > 0: + # note: must cast numpy floats to regular python floats to pass the remote interface + bad2dfit_spat = tilt_traces['bad2dfit_spat'][0] + xoff + bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0] + yoff + canvas_list += [dict(type='squarebox', args=(float(bad2dfit_spat[i]), float(bad2dfit_tilt[i]), 1), + kwargs=dict(color='yellow', fill=True, fillalpha=0.5)) for i in range(bad2dfit_tilt.size)] # Add text - text_xpos = 50 - start_ypos = 50 - text_ypos = [start_ypos + 90, start_ypos + 60, start_ypos + 30, start_ypos] - text_color = ['blue', 'yellow', 'cyan', 'red'] - text_str = ['Good tilt fit', 'Rejected in fit', 'Good pixel', 'Masked pixel'] + text_xpos = 20 + start_ypos = 20 + ypos_step = 0.03*nspec if nspec is not None else 50. + text_ypos = [start_ypos, start_ypos + ypos_step, start_ypos + 2*ypos_step] + text_str = ['Masked pixel', 'Rejected in fit', 'Good tilt fit'] + text_color = ['red', 'yellow', 'blue'] + if points: + text_ypos += [start_ypos + 3*ypos_step] + text_str += ['Good pixel'] + text_color += ['cyan'] canvas_list += [dict(type='text', args=(float(text_xpos), float(text_ypos[i]), str(text_str[i])), kwargs=dict(color=text_color[i], fontsize=20)) for i in range(len(text_str))] diff --git a/pypeit/scripts/chk_tilts.py b/pypeit/scripts/chk_tilts.py index 05bc897e72..6d8d2ac19b 100644 --- a/pypeit/scripts/chk_tilts.py +++ b/pypeit/scripts/chk_tilts.py @@ -14,16 +14,21 @@ class ChkTilts(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): - parser = super().get_parser(description='Display Tilts image and traced tilts in Ginga viewer', + parser = super().get_parser(description='Display Tiltimg image and 2D fitted tilts in Ginga viewer ' + 'or Matplotlib window', width=width) parser.add_argument('file', type=str, default=None, help='PypeIt Tilts file [e.g. Tilt_A_1_01.fits]') - parser.add_argument('--tilts_image', type=str, default=None, + parser.add_argument('--tiltimg', type=str, default=None, help='PypeIt Tiltimg file [e.g. Tiltimg_A_1_01.fits]. If not provided,' - 'PypeIt will attempt to load the file from the same directory as the Tilts file.') + 'PypeIt will attempt to load the file from the same directory as the Tilts file. ' + 'Set this only if Tiltimg is in a different directory than Tilts.') parser.add_argument('--mpl', default=False, action='store_true', - help='Use a matplotlib window instead of ginga to show the tilts') + help='Use a matplotlib window instead of ginga to show the tilts. Faster plotting.') + parser.add_argument('--show_traces', default=False, action='store_true', + help='Show the traced tilts. This slows down the plotting (mostly in Ginga). If not set, ' + 'only the fitted, masked and rejected in the fit tilts are shown.') parser.add_argument('--try_old', default=False, action='store_true', help='Attempt to load old datamodel versions. A crash may ensue..') return parser @@ -34,8 +39,7 @@ def main(pargs): # Load tilts = wavetilts.WaveTilts.from_file(pargs.file, chk_version=(not pargs.try_old)) - tilts.show(tilt_img=pargs.tilts_image, in_ginga=np.logical_not(pargs.mpl)) - # embed() + tilts.show(tilt_img=pargs.tiltimg, in_ginga=np.logical_not(pargs.mpl), show_traces=pargs.show_traces) diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 1a9644503b..d27dbc0c22 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -11,6 +11,7 @@ import numpy as np from matplotlib import pyplot as plt +from matplotlib.lines import Line2D from astropy import stats, visualization from astropy.stats import sigma_clipped_stats @@ -72,8 +73,8 @@ class WaveTilts(datamodel.DataContainer): 'file when running pypeit_chk_tilts()'), 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage'), 'tilt_traces': dict(otype=table.Table, descr='Table with the positions of the ' - 'traced and fitted tilts for all the slits. ' - 'see make_tilt_table() for more details. ')} + 'traced and fitted tilts for all the slits. ' + 'see :func:`make_tbl_tilt_traces` for more details. ')} def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, spat_flexure=None, PYP_SPEC=None, slits_calib_key=None, tilt_traces=None): @@ -167,7 +168,7 @@ def spatid_to_zero(self, spat_id): mtch = self.spat_id == spat_id return np.where(mtch)[0][0] - def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga=True): + def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga=True, show_traces=False): """ """ # Warning: This parses the filename, not the Header! @@ -195,30 +196,39 @@ def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga else: msgs.warn('Could not load Wave image to show with tilts image.') # get tiltimg if not provided + tiltimg_masterframe_name = None if tilt_img is None: tiltimg_masterframe_name = masterframe.construct_file_name(buildimage.TiltImage, master_key, master_dir=master_dir) - if os.path.exists(tiltimg_masterframe_name): - tilt_img_dict = buildimage.TiltImage.from_file(tiltimg_masterframe_name) - tilt_img = tilt_img_dict.image - else: - msgs.err('Tiltimg not found.') + else: + tiltimg_masterframe_name = tilt_img + if tiltimg_masterframe_name is not None and os.path.exists(tiltimg_masterframe_name): + tilt_img_dict = buildimage.TiltImage.from_file(tiltimg_masterframe_name) + tilt_img = tilt_img_dict.image * (slitmask > -1) if slits is not None else tilt_img_dict.image + else: + msgs.err('Tiltimg not found.') - cut = utils.growth_lim(tilt_img, 0.98, fac=1) - _tilt_img = tilt_img*(slitmask > -1) if slits is not None else tilt_img + zmax = stats.sigma_clip(tilt_img, sigma=10, return_bounds=True)[2] + zmin = stats.sigma_clip(tilt_img, sigma=5, return_bounds=True)[1] * 2 + cut = (zmin, zmax) # show in ginga if in_ginga: + # connect to ginga display.connect_to_ginga(raise_err=True, allow_new=True) - viewer, ch = display.show_image(_tilt_img, chname='Tilts', cuts=(cut[0], cut[1]), + # display image + viewer, ch = display.show_image(tilt_img, chname='Tilts', cuts=cut, wcs_match=wcs_match, waveimg=waveimg, clear=True) - display.show_tilts(viewer, ch, self.tilt_traces) + # show tilts + display.show_tilts(viewer, ch, self.tilt_traces, points=show_traces, nspec=tilt_img.shape[0]) + # shoe slit edges if slits is not None: left, right, mask = slits.select_edges() gpm = mask == 0 display.show_slits(viewer, ch, left[:, gpm], right[:, gpm], slit_ids=slits.spat_id[gpm]) + # show in matplotlib else: - show_tilts_mpl(_tilt_img, self.tilt_traces, slits=slits, cut=(cut[0], cut[1])) + show_tilts_mpl(tilt_img, self.tilt_traces, slits=slits, show_traces=show_traces, cut=cut) class BuildWaveTilts: @@ -777,72 +787,85 @@ def make_tbl_tilt_traces(self): `astropy.table.Table`_: Table including the traced and fitted tilts for each slit. Columns are: - - slit_ledges: Spatial pixels of the left slit edges (mean over the spectral range) - - slit_redges: Spatial pixels of the right slit edges (mean over the spectral range) + - slit_ids: Slit IDs for which the tilts were traced and fit - goodpix_spat: Good spatial pixels of the traced tilts - goodpix_tilt: Good spectral pixels of the traced tilts + - goodpix_slitid: Slit IDs for each goodpix. This is needed to associate goodpix to each slit - badpix_spat: Masked spatial pixels of the traced tilts - badpix_tilt: Masked spectral pixels of the traced tilts + - badpix_slitid: Slit IDs for each badpix. This is needed to associate badpix to each slit - good2dfit_spat: Good spatial pixels of the 2D fit of the tilts - good2dfit_tilt: Good spectral pixels of the 2D fit of the tilts + - good2dfit_slitid: Slit IDs for each good2dfit. This is needed to associate good2dfit to each slit - bad2dfit_spat: Rejected spatial pixels of the 2D fit of the tilts - bad2dfit_tilt: Rejected spectral pixels of the 2D fit of the tilts + - bad2dfit_slitid: Slit IDs for each bad2dfit. This is needed to associate bad2dfit to each slit """ if self.all_trace_dict is None: msgs.error('No tilts have been traced and fit yet. Run the run() method first.') + # slit_ids + slit_ids = np.array([]) + # good&bad traces goodpix_spat = np.array([]) goodpix_tilt = np.array([]) + goodpix_slitid = np.array([]) badpix_spat = np.array([]) badpix_tilt = np.array([]) + badpix_slitid = np.array([]) # good&bad fits good2dfit_spat = np.array([]) good2dfit_tilt = np.array([]) + good2dfit_slitid = np.array([]) bad2dfit_spat = np.array([]) bad2dfit_tilt = np.array([]) + bad2dfit_slitid = np.array([]) - slit_ledges = np.array([]) - slit_redges = np.array([]) - - # fill the arrays + # fill the arrays with the traced and fitted tilts + # each trc is a slit for i, trc in enumerate(self.all_trace_dict): if trc is not None: - slit_ledges = np.append(slit_ledges, np.mean(self.slits.left_tweak[:, i]) - if self.slits.left_tweak is not None else np.mean(self.slits.left_init[:, i])) - slit_redges = np.append(slit_redges, np.mean(self.slits.right_tweak[:, i]) - if self.slits.right_tweak is not None else np.mean(self.slits.right_init[:, i])) + slit_ids = np.append(slit_ids, self.slits.spat_id[i]) gpix = trc['tot_mask'] goodpix_spat = np.append(goodpix_spat, trc['tilts_spat'].flatten()[gpix.flatten()]) goodpix_tilt = np.append(goodpix_tilt, trc['tilts'].flatten()[gpix.flatten()]) + goodpix_slitid = np.append(goodpix_slitid, np.repeat(self.slits.spat_id[i], sum(gpix.flatten()))) bpix = np.invert(gpix) & (trc['tilts'] > 0) badpix_spat = np.append(badpix_spat, trc['tilts_spat'].flatten()[bpix.flatten()]) badpix_tilt = np.append(badpix_tilt, trc['tilts'].flatten()[bpix.flatten()]) + badpix_slitid = np.append(badpix_slitid, np.repeat(self.slits.spat_id[i], sum(bpix.flatten()))) gfit = gpix & trc['fit_mask'] good2dfit_spat = np.append(good2dfit_spat, trc['tilts_spat'].flatten()[gfit.flatten()]) good2dfit_tilt = np.append(good2dfit_tilt, trc['tilt_2dfit'].flatten()[gfit.flatten()]) + good2dfit_slitid = np.append(good2dfit_slitid, np.repeat(self.slits.spat_id[i], sum(gfit.flatten()))) bfit = gpix & np.invert(trc['fit_mask']) bad2dfit_spat = np.append(bad2dfit_spat, trc['tilts_spat'].flatten()[bfit.flatten()]) bad2dfit_tilt = np.append(bad2dfit_tilt, trc['tilt_2dfit'].flatten()[bfit.flatten()]) + bad2dfit_slitid = np.append(bad2dfit_slitid, np.repeat(self.slits.spat_id[i], sum(bfit.flatten()))) # fill the table tbl_tilt_traces = table.Table() - # slit edges - tbl_tilt_traces['slit_ledges'] = np.expand_dims(slit_ledges, axis=0) - tbl_tilt_traces['slit_redges'] = np.expand_dims(slit_redges, axis=0) + # slit ids + tbl_tilt_traces['slit_ids'] = np.expand_dims(slit_ids, axis=0) # traced tilts tbl_tilt_traces['goodpix_spat'] = np.expand_dims(goodpix_spat, axis=0) tbl_tilt_traces['goodpix_tilt'] = np.expand_dims(goodpix_tilt, axis=0) + tbl_tilt_traces['goodpix_slitid'] = np.expand_dims(goodpix_slitid, axis=0) tbl_tilt_traces['badpix_spat'] = np.expand_dims(badpix_spat, axis=0) tbl_tilt_traces['badpix_tilt'] = np.expand_dims(badpix_tilt, axis=0) + tbl_tilt_traces['badpix_slitid'] = np.expand_dims(badpix_slitid, axis=0) # fitted tilts tbl_tilt_traces['good2dfit_spat'] = np.expand_dims(good2dfit_spat, axis=0) tbl_tilt_traces['good2dfit_tilt'] = np.expand_dims(good2dfit_tilt, axis=0) + tbl_tilt_traces['good2dfit_slitid'] = np.expand_dims(good2dfit_slitid, axis=0) tbl_tilt_traces['bad2dfit_spat'] = np.expand_dims(bad2dfit_spat, axis=0) tbl_tilt_traces['bad2dfit_tilt'] = np.expand_dims(bad2dfit_tilt, axis=0) + tbl_tilt_traces['bad2dfit_slitid'] = np.expand_dims(bad2dfit_slitid, axis=0) + return tbl_tilt_traces def _parse_param(self, par, key, slit): @@ -879,16 +902,19 @@ def __repr__(self): return txt -def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): - """Show the tilts image with the traces overlaid +def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=None): + """Show the TiltImage with the traced and 2D fitted tilts overlaid Args: tilt_img (`np.ndarray`_): - Tilts image + TiltImage tilt_traces (`astropy.table.Table`_): - Table containing the traced and fitted tilts + Table containing the traced and fitted tilts. + See :func:`make_tbl_tilt_traces` for information on the table columns. slits (`slittrace.SlitTraceSet`_, optional): SlitTraceSet object + show_traces (bool, optional): + Show the traced tilts cut (tuple, optional): Lower and upper levels cut for the image display """ @@ -900,20 +926,41 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): fig = plt.figure(figsize=(1.5 * w, 1.5 * h)) plt.imshow(tilt_img, origin='lower', interpolation='nearest', aspect='auto', cmap='gray', - vmin=cut[0], vmax=cut[1]) - - if tilt_traces['goodpix_tilt'][0].size > 0: - plt.scatter(tilt_traces['goodpix_spat'][0], tilt_traces['goodpix_tilt'][0], color='cyan', - marker='s', s=20, lw=0, label='Good pixel') + vmin=cut[0], vmax=cut[1], zorder=0) + + # traced tilts + if show_traces: + if tilt_traces['goodpix_tilt'][0].size > 0: + plt.scatter(tilt_traces['goodpix_spat'][0], tilt_traces['goodpix_tilt'][0], color='cyan', + marker='s', s=10, lw=0, label='Good pixel', zorder=1) + # masked tilts if tilt_traces['badpix_tilt'][0].size > 0: plt.scatter(tilt_traces['badpix_spat'], tilt_traces['badpix_tilt'], color='red', - marker='s', s=20, lw=0, label='Masked pixel') - if tilt_traces['good2dfit_tilt'][0].size > 0: - plt.scatter(tilt_traces['good2dfit_spat'][0], tilt_traces['good2dfit_tilt'][0], color='blue', - marker='s', s=5, lw=0, label='Good tilt fit') + marker='s', s=10, lw=0, label='Masked pixel', zorder=2) + # 2D fit tilts + # loop over each slit/line so that we can plot lines instead of points + for islit in tilt_traces['slit_ids'][0]: + this_slit = tilt_traces['good2dfit_slitid'][0] == islit + if np.any(this_slit): + good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_slit] + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_slit] + # try to split the array into each line. This is for improving speed + # sort tilts + tsort = np.argsort(good2dfit_tilt) + # find values that are close together + close = np.diff(good2dfit_tilt[tsort]) <= 1. + # divide into slices, each including a line + lines = utils.contiguous_true(close) + # loop over each line, this allows to use type='path' and therefore a faster plotting + for iline in lines: + x = good2dfit_spat[tsort][iline] + y = good2dfit_tilt[tsort][iline] + plt.plot(x, y, color='blue', lw=1, zorder=3) + + # rejected point in 2D fit if tilt_traces['bad2dfit_tilt'][0].size > 0: plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='yellow', - marker='s', s=5, lw=0, label='Rejected in fit') + marker='s', s=5, lw=0, label='Rejected in fit', zorder=4) if slits is not None: pstep = 50 @@ -922,16 +969,21 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, cut=None): for i in range(left.shape[1]): if gpm[i]: spec = np.arange(left[:, i].size) - plt.plot(left[::pstep, i], spec[::pstep], color='green', lw=2) - plt.plot(right[::pstep, i], spec[::pstep], color='magenta', lw=2) + plt.plot(left[::pstep, i], spec[::pstep], color='green', lw=2, zorder=5) + plt.plot(right[::pstep, i], spec[::pstep], color='magenta', lw=2, zorder=5) x_spatid = left[spec.size//2, i] + 0.10*(right[spec.size//2, i] - left[spec.size//2, i]) y_spatid = spec[spec.size//2] plt.text(x_spatid, y_spatid, str(slits.spat_id[i]), color='aquamarine', fontsize=10, alpha=1, - weight='bold', rotation='vertical') + weight='bold', rotation='vertical', zorder=5) + + # add legend for 2D fitted tilts + legend_element = [Line2D([0], [0], color='blue', ls='-', lw=1, label='Good tilt fit')] + handles, labels = plt.gca().get_legend_handles_labels() + handles.append(legend_element[0]) - plt.legend() + lcolors = ['cyan', 'red', 'yellow', 'blue'] if show_traces else ['red', 'yellow', 'blue'] + plt.legend(handles=handles, labelcolor=lcolors) plt.ylabel('Spectral pixel index') plt.xlabel('Spatial pixel index') - fig.tight_layout() plt.show() From d49793bf6c2a2d85626e7c2abacd2cc60eacb280 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 17 Apr 2023 08:29:12 -0700 Subject: [PATCH 231/308] testing --- pypeit/pypeitsetup.py | 5 +++ pypeit/scripts/ql.py | 12 +++-- pypeit/spectrographs/keck_mosfire.py | 67 ++++++++++++++-------------- 3 files changed, 48 insertions(+), 36 deletions(-) diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index b76a9a9653..9f2b1097fe 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -410,6 +410,11 @@ def generate_ql_calib_pypeit_files(self, output_path:str, self.user_cfg += [f'detnum = {det}'] self.user_cfg += ['quicklook = True'] + # TODO: Do this regardless of whether there are any bias frames? + if not any(self.fitstbl.find_frames('bias')): + # Turn-off use of bias by default + self.user_cfg += ['[baseprocess]', 'use_biasimage = False'] + # Write the PypeIt files # TODO: Exclude science/standard files from file? pypeit_files = self.fitstbl.write_pypeit( diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 9999c2f087..e46ce2a4ee 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -32,6 +32,7 @@ from astropy.table import Table +from pypeit.pypmsgs import PypeItError from pypeit import msgs from pypeit import pypeitsetup from pypeit import io @@ -70,13 +71,14 @@ def get_files(raw_files, raw_path, ext): if raw_files is not None and len(raw_files) == 1: # Try to read the file names as if they're in a file_of_files try: - files = io.grab_rawfiles(file_of_files=raw_files[0]) + files = inputfiles.grab_rawfiles(file_of_files=raw_files[0]) except: # Failed, so assume its a raw file (only one calibration file?) and proceed pass if files is None: try: - files = io.grab_rawfiles(raw_paths=[raw_path], list_of_files=raw_files, extension=ext) + files = inputfiles.grab_rawfiles(raw_paths=[raw_path], list_of_files=raw_files, + extension=ext) except PypeItError as e: msgs.error('Unable to parse provided input files. Check --raw_files, --raw_path, ' 'and/or --ext input.') @@ -281,6 +283,10 @@ def generate_sci_pypeitfile(redux_path:str, if slitspatnum is not None: cfg['rdx']['slitspatnum'] = slitspatnum + # Turn-off use of bias by default + cfg['baseprocess'] = {} + cfg['baseprocess']['use_biasimage'] = False + # Add reduce dictionary? if any([k is not None for k in [snr_thresh, boxcar_radius, std_spec1d]]): cfg['reduce'] = {} @@ -650,7 +656,7 @@ def main(args): # Generate PypeIt files (and folders) calib_pypeit_files = ps.generate_ql_calib_pypeit_files( parent_calib_dir, det=args.det, configs='all', - overwrite=args.overwrite_calibs, bkg_redux=args.bkg_redux) + overwrite=args.overwrite_calibs) # Process them for calib_pypeit_file in calib_pypeit_files: diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index cb15e9fc5c..dbe5599f71 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -679,39 +679,40 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) -# def parse_dither_pattern(self, file_list, ext=None): -# """ -# Parse headers from a file list to determine the dither pattern. -# -# Parameters -# ---------- -# file_list (list of strings): -# List of files for which dither pattern is desired -# ext (int, optional): -# Extension containing the relevant header for these files. Default=None. If None, code uses -# self.primary_hdrext -# -# Returns -# ------- -# dither_pattern, dither_id, offset_arcsec -# -# dither_pattern (str `numpy.ndarray`_): -# Array of dither pattern names -# dither_id (str `numpy.ndarray`_): -# Array of dither pattern IDs -# offset_arc (float `numpy.ndarray`_): -# Array of dither pattern offsets -# """ -# nfiles = len(file_list) -# offset_arcsec = np.zeros(nfiles) -# dither_pattern = [] -# dither_id = [] -# for ifile, file in enumerate(file_list): -# hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) -# dither_pattern.append(hdr['PATTERN']) -# dither_id.append(hdr['FRAMEID']) -# offset_arcsec[ifile] = hdr['YOFFSET'] -# return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) + # TODO: Is this supposed to be deprecated in favor of get_comb_group? + def parse_dither_pattern(self, file_list, ext=None): + """ + Parse headers from a file list to determine the dither pattern. + + Parameters + ---------- + file_list (list of strings): + List of files for which dither pattern is desired + ext (int, optional): + Extension containing the relevant header for these files. Default=None. If None, code uses + self.primary_hdrext + + Returns + ------- + dither_pattern, dither_id, offset_arcsec + + dither_pattern (str `numpy.ndarray`_): + Array of dither pattern names + dither_id (str `numpy.ndarray`_): + Array of dither pattern IDs + offset_arc (float `numpy.ndarray`_): + Array of dither pattern offsets + """ + nfiles = len(file_list) + offset_arcsec = np.zeros(nfiles) + dither_pattern = [] + dither_id = [] + for ifile, file in enumerate(file_list): + hdr = fits.getheader(file, self.primary_hdrext if ext is None else ext) + dither_pattern.append(hdr['PATTERN']) + dither_id.append(hdr['FRAMEID']) + offset_arcsec[ifile] = hdr['YOFFSET'] + return np.array(dither_pattern), np.array(dither_id), np.array(offset_arcsec) def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table, debug=False): """ From 36c87ad9dfc48c039957f129b62f593702f441b0 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 17 Apr 2023 16:57:21 -1000 Subject: [PATCH 232/308] divided by N --- pypeit/images/combineimage.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pypeit/images/combineimage.py b/pypeit/images/combineimage.py index 2ff761f7a9..f10daf9cac 100644 --- a/pypeit/images/combineimage.py +++ b/pypeit/images/combineimage.py @@ -296,9 +296,11 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr # should *never* make it here. msgs.error("Bad choice for combine. Allowed options are 'median', 'mean'.") + comb_img_forvar = comb_img.copy() + comb_img_forvar[gpm] /= nstack[gpm] # Recompute the inverse variance using the combined image comb_var = procimg.variance_model(comb_basev, - counts=comb_img if self.par['shot_noise'] else None, + counts=comb_img_forvar if self.par['shot_noise'] else None, count_scale=comb_scl, noise_floor=self.par['noise_floor']) From 9d241b545d9e0969c698ec4a2acc6ba6c55e8f86 Mon Sep 17 00:00:00 2001 From: deborape Date: Mon, 17 Apr 2023 18:45:36 -1000 Subject: [PATCH 233/308] another improvement --- pypeit/display/display.py | 28 ++++--------- pypeit/wavetilts.py | 88 ++++++++++++++++++++------------------- 2 files changed, 54 insertions(+), 62 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 6ef1018dbf..6fbe915136 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -585,26 +585,16 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non kwargs=dict(color='cyan', fill=True, fillalpha=0.5)) for i in range(goodpix_tilt.size)] # Plot the 2D fitted tilts - # loop over each slit - for islit in tilt_traces['slit_ids'][0]: + # loop over each line, this allows to use type='path' and therefore a faster plotting + for iline in np.unique(tilt_traces['good2dfit_slitid'][0]): # good fit - this_slit = tilt_traces['good2dfit_slitid'][0] == islit - if np.any(this_slit): - good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_slit] - good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_slit] - # try to split the array into each line. This is for improving speed - # sort tilts - tsort = np.argsort(good2dfit_tilt) - # find values that are close together - close = np.diff(good2dfit_tilt[tsort]) <= 1. - # divide into slices, each including a line - lines = utils.contiguous_true(close) - # loop over each line, this allows to use type='path' and therefore a faster plotting - for iline in lines: - x = good2dfit_spat[tsort][iline] + xoff - y = good2dfit_tilt[tsort][iline] + xoff - canvas_list += [dict(type=str('path'),args=(list(zip(x[::pstep].tolist(), y[::pstep].tolist())),), - kwargs=dict(color='blue', linewidth=2))] + this_line = tilt_traces['good2dfit_slitid'][0] == iline + if np.any(this_line): + good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] + xoff + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] + yoff + canvas_list += [dict(type=str('path'), + args=(list(zip(good2dfit_spat[::pstep].tolist(), good2dfit_tilt[::pstep].tolist())),), + kwargs=dict(color='blue', linewidth=2))] # Now plot the masked traces and the rejected 2D fits # We just plot the points, so we do not need to loop over each slit/line diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index d27dbc0c22..48820c80e5 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -790,16 +790,16 @@ def make_tbl_tilt_traces(self): - slit_ids: Slit IDs for which the tilts were traced and fit - goodpix_spat: Good spatial pixels of the traced tilts - goodpix_tilt: Good spectral pixels of the traced tilts - - goodpix_slitid: Slit IDs for each goodpix. This is needed to associate goodpix to each slit + - goodpix_lid: Line IDs for each goodpix. This is needed to associate goodpix to each line - badpix_spat: Masked spatial pixels of the traced tilts - badpix_tilt: Masked spectral pixels of the traced tilts - - badpix_slitid: Slit IDs for each badpix. This is needed to associate badpix to each slit + - badpix_lid: Line IDs for each badpix. This is needed to associate badpix to each line - good2dfit_spat: Good spatial pixels of the 2D fit of the tilts - good2dfit_tilt: Good spectral pixels of the 2D fit of the tilts - - good2dfit_slitid: Slit IDs for each good2dfit. This is needed to associate good2dfit to each slit + - good2dfit_lid: Line IDs for each good2dfit. This is needed to associate good2dfit to each line - bad2dfit_spat: Rejected spatial pixels of the 2D fit of the tilts - bad2dfit_tilt: Rejected spectral pixels of the 2D fit of the tilts - - bad2dfit_slitid: Slit IDs for each bad2dfit. This is needed to associate bad2dfit to each slit + - bad2dfit_lid: Line IDs for each bad2dfit. This is needed to associate bad2dfit to each line """ @@ -810,42 +810,55 @@ def make_tbl_tilt_traces(self): slit_ids = np.array([]) # good&bad traces + goodpix_lid = np.array([]) goodpix_spat = np.array([]) goodpix_tilt = np.array([]) - goodpix_slitid = np.array([]) + + badpix_lid = np.array([]) badpix_spat = np.array([]) badpix_tilt = np.array([]) - badpix_slitid = np.array([]) # good&bad fits + good2dfit_lid = np.array([]) good2dfit_spat = np.array([]) good2dfit_tilt = np.array([]) - good2dfit_slitid = np.array([]) + + bad2dfit_lid = np.array([]) bad2dfit_spat = np.array([]) bad2dfit_tilt = np.array([]) - bad2dfit_slitid = np.array([]) # fill the arrays with the traced and fitted tilts # each trc is a slit for i, trc in enumerate(self.all_trace_dict): - if trc is not None: + if trc is not None and self.slits.mask[i] == 0: + # slit ids slit_ids = np.append(slit_ids, self.slits.spat_id[i]) + # good pixels gpix = trc['tot_mask'] - goodpix_spat = np.append(goodpix_spat, trc['tilts_spat'].flatten()[gpix.flatten()]) - goodpix_tilt = np.append(goodpix_tilt, trc['tilts'].flatten()[gpix.flatten()]) - goodpix_slitid = np.append(goodpix_slitid, np.repeat(self.slits.spat_id[i], sum(gpix.flatten()))) + # bad pixels bpix = np.invert(gpix) & (trc['tilts'] > 0) - badpix_spat = np.append(badpix_spat, trc['tilts_spat'].flatten()[bpix.flatten()]) - badpix_tilt = np.append(badpix_tilt, trc['tilts'].flatten()[bpix.flatten()]) - badpix_slitid = np.append(badpix_slitid, np.repeat(self.slits.spat_id[i], sum(bpix.flatten()))) + # good 2d fit gfit = gpix & trc['fit_mask'] - good2dfit_spat = np.append(good2dfit_spat, trc['tilts_spat'].flatten()[gfit.flatten()]) - good2dfit_tilt = np.append(good2dfit_tilt, trc['tilt_2dfit'].flatten()[gfit.flatten()]) - good2dfit_slitid = np.append(good2dfit_slitid, np.repeat(self.slits.spat_id[i], sum(gfit.flatten()))) + # bad 2d fit bfit = gpix & np.invert(trc['fit_mask']) - bad2dfit_spat = np.append(bad2dfit_spat, trc['tilts_spat'].flatten()[bfit.flatten()]) - bad2dfit_tilt = np.append(bad2dfit_tilt, trc['tilt_2dfit'].flatten()[bfit.flatten()]) - bad2dfit_slitid = np.append(bad2dfit_slitid, np.repeat(self.slits.spat_id[i], sum(bfit.flatten()))) + + for l in range(trc['tilts_spat'].shape[1]): + # good pixels + goodpix_lid = np.append(goodpix_lid, np.repeat(f'{self.slits.spat_id[i]}_{l + 1}', sum(gpix[:, l]))) + goodpix_spat = np.append(goodpix_spat, trc['tilts_spat'][:,l][gpix[:,l]]) + goodpix_tilt = np.append(goodpix_tilt, trc['tilts'][:,l][gpix[:,l]]) + # bad pixels + badpix_lid = np.append(badpix_lid, np.repeat(f'{self.slits.spat_id[i]}_{l + 1}', sum(bpix[:, l]))) + badpix_spat = np.append(badpix_spat, trc['tilts_spat'][:,l][bpix[:,l]]) + badpix_tilt = np.append(badpix_tilt, trc['tilts'][:,l][bpix[:,l]]) + # good 2d fit + good2dfit_lid = np.append(good2dfit_lid, np.repeat(f'{self.slits.spat_id[i]}_{l + 1}', sum(gfit[:, l]))) + good2dfit_spat = np.append(good2dfit_spat, trc['tilts_spat'][:,l][gfit[:,l]]) + good2dfit_tilt = np.append(good2dfit_tilt, trc['tilt_2dfit'][:,l][gfit[:,l]]) + # bad 2d fit + bad2dfit_lid = np.append(bad2dfit_lid, np.repeat(f'{self.slits.spat_id[i]}_{l + 1}', sum(bfit[:, l]))) + bad2dfit_spat = np.append(bad2dfit_spat, trc['tilts_spat'][:,l][bfit[:,l]]) + bad2dfit_tilt = np.append(bad2dfit_tilt, trc['tilt_2dfit'][:,l][bfit[:,l]]) # fill the table tbl_tilt_traces = table.Table() @@ -854,17 +867,17 @@ def make_tbl_tilt_traces(self): # traced tilts tbl_tilt_traces['goodpix_spat'] = np.expand_dims(goodpix_spat, axis=0) tbl_tilt_traces['goodpix_tilt'] = np.expand_dims(goodpix_tilt, axis=0) - tbl_tilt_traces['goodpix_slitid'] = np.expand_dims(goodpix_slitid, axis=0) + tbl_tilt_traces['goodpix_slitid'] = np.expand_dims(goodpix_lid, axis=0) tbl_tilt_traces['badpix_spat'] = np.expand_dims(badpix_spat, axis=0) tbl_tilt_traces['badpix_tilt'] = np.expand_dims(badpix_tilt, axis=0) - tbl_tilt_traces['badpix_slitid'] = np.expand_dims(badpix_slitid, axis=0) + tbl_tilt_traces['badpix_slitid'] = np.expand_dims(badpix_lid, axis=0) # fitted tilts tbl_tilt_traces['good2dfit_spat'] = np.expand_dims(good2dfit_spat, axis=0) tbl_tilt_traces['good2dfit_tilt'] = np.expand_dims(good2dfit_tilt, axis=0) - tbl_tilt_traces['good2dfit_slitid'] = np.expand_dims(good2dfit_slitid, axis=0) + tbl_tilt_traces['good2dfit_slitid'] = np.expand_dims(good2dfit_lid, axis=0) tbl_tilt_traces['bad2dfit_spat'] = np.expand_dims(bad2dfit_spat, axis=0) tbl_tilt_traces['bad2dfit_tilt'] = np.expand_dims(bad2dfit_tilt, axis=0) - tbl_tilt_traces['bad2dfit_slitid'] = np.expand_dims(bad2dfit_slitid, axis=0) + tbl_tilt_traces['bad2dfit_slitid'] = np.expand_dims(bad2dfit_lid, axis=0) return tbl_tilt_traces @@ -938,24 +951,13 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non plt.scatter(tilt_traces['badpix_spat'], tilt_traces['badpix_tilt'], color='red', marker='s', s=10, lw=0, label='Masked pixel', zorder=2) # 2D fit tilts - # loop over each slit/line so that we can plot lines instead of points - for islit in tilt_traces['slit_ids'][0]: - this_slit = tilt_traces['good2dfit_slitid'][0] == islit - if np.any(this_slit): - good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_slit] - good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_slit] - # try to split the array into each line. This is for improving speed - # sort tilts - tsort = np.argsort(good2dfit_tilt) - # find values that are close together - close = np.diff(good2dfit_tilt[tsort]) <= 1. - # divide into slices, each including a line - lines = utils.contiguous_true(close) - # loop over each line, this allows to use type='path' and therefore a faster plotting - for iline in lines: - x = good2dfit_spat[tsort][iline] - y = good2dfit_tilt[tsort][iline] - plt.plot(x, y, color='blue', lw=1, zorder=3) + # loop over each line so that we can plot lines instead of points + for iline in np.unique(tilt_traces['good2dfit_slitid'][0]): + this_line = tilt_traces['good2dfit_slitid'][0] == iline + if np.any(this_line): + good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] + plt.plot(good2dfit_spat, good2dfit_tilt, color='blue', lw=1, zorder=3) # rejected point in 2D fit if tilt_traces['bad2dfit_tilt'][0].size > 0: From fabb77a39e1187fde234de8ffef9886ead5291ab Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 6 May 2022 13:34:46 -0700 Subject: [PATCH 234/308] =?UTF-8?q?Updating=20``LDT/DeVeny``=20class;=20ad?= =?UTF-8?q?d=20red=20(>7940=C3=85)=20neon=20lines=20from=20NIST?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add red (>7940Å) neon lines from NIST: These are bright, separated lines seen by `LDT/DeVeny` with a 600L grating. Only well-defined lines listed in the NIST table were included. Ensure Ne list is in wavelength order; add VACUUM admonishment Add `tweak_standard()` for `LDT/DeVeny`: Especially for the DV1 grating, computing a sensitivity function can be a bit of a bear given the (very) wide wavelength grasp. This commit adds an instrument-specific `tweak_standard()` method that masks out anywhere beyond the ends of the SpecPhotStd data, below the atmospheric cutoff, and anywhere an order-blocking filter's cutoff. Clean up the DeVeny's sensfunc stuff Add ability to combine arcs taken with different lamps for LDT/DeVeny Conformal changes to ``LDT/DeVeny`` for recent flexure error handling Adjusting frametyping in for `LDT/DeVeny` Add DATE-OBS ``isot`` scrubbing to LDT/DeVeny modified: CHANGES.rst modified: pypeit/data/arc_lines/lists/NeI_lines.dat modified: pypeit/spectrographs/ldt_deveny.py --- CHANGES.rst | 1 + pypeit/data/arc_lines/lists/NeI_lines.dat | 22 +- pypeit/spectrographs/ldt_deveny.py | 277 ++++++++++++++++++---- 3 files changed, 254 insertions(+), 46 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index e9fd2af304..afb9bb0f1e 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -9,6 +9,7 @@ - Make pypeit_show_2dspec (somewhat) backwards compatible. - Added the option to disable strict version checking for 1d coadds. - Sensitivity function masking and output updates +- Updates to reduction parameters for LDT/DeVeny 1.12.2 (29 Mar 2023) -------------------- diff --git a/pypeit/data/arc_lines/lists/NeI_lines.dat b/pypeit/data/arc_lines/lists/NeI_lines.dat index c4d922d7d6..b1fa732c8f 100644 --- a/pypeit/data/arc_lines/lists/NeI_lines.dat +++ b/pypeit/data/arc_lines/lists/NeI_lines.dat @@ -1,11 +1,10 @@ -# Creation Date: 2018-May-03 -# Creation Date: 2018-May-03 -# Creation Date: 2017-Mar-26 -# Creation Date: 2016-Dec-23 -# Creation Date: 2016-Dec-21 +# Creation Date: 2022-May-06 +# VACUUM -- MUST BE IN NIST | ion | wave | NIST | Instr | amplitude | Source | | NeI | 5039.1560 | 1 | 19 | 300 | gtc_osiris_manual | +| NeI | 5332.2603 | 1 | 16 | 6000 | deimos_600.json | | NeI | 5342.5794 | 1 | 19 | 3000 | gtc_osiris_manual | +| NeI | 5402.0631 | 1 | 16 | 6000 | deimos_600.json | | NeI | 5564.3110 | 1 | 19 | 300 | gtc_osiris_manual | | NeI | 5658.2287 | 1 | 19 | 300 | gtc_osiris_manual | | NeI | 5332.2603 | 1 | 16 | 6000 | deimos_600.json | @@ -39,17 +38,28 @@ | NeI | 7440.9469 | 1 | 25 | 37896 | lrisr_600_7500_PYPIT.json | | NeI | 7490.9335 | 1 | 25 | 5760 | lrisr_600_7500_PYPIT.json | | NeI | 7537.8488 | 1 | 25 | 5565 | lrisr_600_7500_PYPIT.json | +| NeI | 7945.3654 | 1 | 0 | 7900 | ldt_deveny_600_Ne | | NeI | 8084.6801 | 1 | 25 | 485 | kastr_600_7500_PYPIT.json | +| NeI | 8138.6432 | 1 | 0 | 17000 | ldt_deveny_600_Ne | +| NeI | 8302.6062 | 1 | 0 | 26000 | ldt_deveny_600_Ne | | NeI | 8379.9093 | 1 | 9 | 23176 | lrisr_600_7500_PYPIT.json | +| NeI | 8420.7398 | 1 | 0 | 26000 | ldt_deveny_600_Ne | | NeI | 8497.6932 | 1 | 25 | 21494 | lrisr_400_8500_PYPIT.json | +| NeI | 8593.6184 | 1 | 0 | 41000 | ldt_deveny_600_Ne | +| NeI | 8637.0190 | 1 | 0 | 35000 | ldt_deveny_600_Ne | | NeI | 8649.4164 | 1 | 9 | 383 | lrisr_600_7500_PYPIT.json | | NeI | 8656.7599 | 1 | 25 | 10656 | lrisr_400_8500_PYPIT.json | +| NeI | 8856.2980 | 1 | 0 | 27000 | ldt_deveny_600_Ne | | NeI | 8921.9496 | 1 | 19 | 6400 | not_alfosc_linelists | +| NeI | 8991.0240 | 1 | 0 | 1800 | ldt_deveny_600_Ne | | NeI | 9151.1829 | 1 | 19 | 12000 | not_alfosc_linelists | | NeI | 9204.2841 | 1 | 9 | 2334 | lrisr_400_8500_PYPIT.json | -| NeI | 9536.7793 | 1 | 16 | 2334 | deimos_830g_r_PYPIT.json | | NeI | 9329.0663 | 1 | 16 | 6900 | deimos_830g_pypeit_manual | +| NeI | 9375.8796 | 1 | 0 | 1500 | ldt_deveny_600_Ne | | NeI | 9427.9655 | 1 | 16 | 4800 | deimos_830g_pypeit_manual | | NeI | 9461.8060 | 1 | 16 | 2800 | deimos_830g_pypeit_manual | | NeI | 9489.2849 | 1 | 16 | 5000 | deimos_830g_pypeit_manual | +| NeI | 9536.7793 | 1 | 16 | 2334 | deimos_830g_r_PYPIT.json | +| NeI | 9550.0241 | 1 | 0 | 18000 | ldt_deveny_600_Ne | +| NeI | 9668.0709 | 1 | 0 | 2800 | ldt_deveny_600_Ne | | NeI | 11146.0715 | 1 | 16 | 26000 | deimos_830g_pypeit_manual | diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index cfe9613119..54ea133e92 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -54,25 +54,28 @@ def get_detector_par(self, det, hdu=None): Object with the detector metadata. """ if hdu is None: + dataext = 0 # Raw data binning = '1,1' # Most common use mode gain = np.atleast_1d(1.52) # Hardcoded in the header ronoise = np.atleast_1d(4.9) # Hardcoded in the header datasec = np.atleast_1d('[5:512,53:2095]') # For 1x1 binning oscansec = np.atleast_1d('[5:512,5:48]') # For 1x1 binning else: + # If file is post-processed, data extension is specified. Raw is 0. + dataext = hdu[0].header.get('POST_EXT', 0) binning = self.get_meta_value(self.get_headarr(hdu), 'binning') gain = np.atleast_1d(hdu[0].header['GAIN']) ronoise = np.atleast_1d(hdu[0].header['RDNOISE']) datasec = self.rotate_trimsections(hdu[0].header['TRIMSEC'], - hdu[0].header['NAXIS1']) + hdu[dataext].header['NAXIS1']) oscansec = self.rotate_trimsections(hdu[0].header['BIASSEC'], - hdu[0].header['NAXIS1']) + hdu[dataext].header['NAXIS1']) # Detector detector_dict = dict( binning = binning, - det = 1, - dataext = 0, + det = 1, # DeVeny has but one detector + dataext = dataext, specaxis = 1, # Native spectrum is along the x-axis specflip = True, # DeVeny CCD has blue at the right spatflip = False, @@ -139,8 +142,8 @@ def compound_meta(self, headarr, meta_key): return parse.binning2string(binspec, binspatial) if meta_key == 'mjd': - # Use astropy to convert 'DATE-OBS' into a mjd. - ttime = Time(headarr[0]['DATE-OBS'], format='isot') + # Use custom scrubber + AstroPy to convert 'DATE-OBS' into a mjd. + ttime = self.scrub_isot_dateobs(headarr[0]['DATE-OBS']) return ttime.mjd if meta_key == 'lampstat01': @@ -158,9 +161,12 @@ def compound_meta(self, headarr, meta_key): "400/8500":"DV4", "500/5500":"DV5", "600/4900":"DV6", "600/6750":"DV7", "831/8000":"DV8", "1200/5000":"DV9", "2160/5000":"DV10", "UNKNOWN":"DVxx"} - if headarr[0]['GRATING'] not in gratings: - raise ValueError(f"Grating value {headarr[0]['GRATING']} not recognized.") - return f"{gratings[headarr[0]['GRATING']]} ({headarr[0]['GRATING']})" + if (grating_kwd := headarr[0]['GRATING']) not in gratings: + raise ValueError(f"Grating value {grating_kwd} not recognized.") + if grating_kwd == "UNKNOWN": + msgs.warn(f"Grating not selected in the LOUI; {msgs.newline()}" + "Fix the header keyword GRATING before proceeding.") + return f"{gratings[grating_kwd]} ({grating_kwd})" if meta_key == 'decker': # Provide a stub for future inclusion of a decker on LDT/DeVeny. @@ -176,20 +182,21 @@ def compound_meta(self, headarr, meta_key): # return the central wavelength of the configuration. # Extract lines/mm, catch 'UNKNOWN' grating - lpmm = ( - np.inf - if headarr[0]["GRATING"] == "UNKNOWN" - else float(headarr[0]["GRATING"].split("/")[0]) - ) + if (grating_kwd := headarr[0]["GRATING"]) == "UNKNOWN": + lpmm = np.inf + msgs.warn(f"Grating angle not selected in the LOUI; {msgs.newline()}" + "Fix the header keyword GRANGLE before proceeding.") + else: + lpmm = float(grating_kwd.split("/")[0]) # DeVeny Fixed Optical Angles in radians - CAMCOL = np.deg2rad(55.00) # Camera-to-Collimator Angle - COLL = np.deg2rad(10.00) # Collimator-to-Grating Angle + col_grat = np.deg2rad(10.00) # Collimator-to-Grating Angle + cam_col = np.deg2rad(55.00) # Camera-to-Collimator Angle # Grating angle in radians theta = np.deg2rad(float(headarr[0]['GRANGLE'])) # Wavelength in Angstroms wavelen = ( - (np.sin(COLL + theta) + np.sin(COLL + theta - CAMCOL)) # Angles + (np.sin(col_grat + theta) + np.sin(col_grat + theta - cam_col)) # Angles * 1.0e7 # Angstroms/mm / lpmm # lines / mm ) @@ -250,17 +257,21 @@ def default_pypeit_par(cls): set_use = dict(use_illumflat=False) par.reset_all_processimages_par(**set_use) + # For processing the arc frame, these settings allow for the combination of + # of frames from different lamps into a comprehensible Master + par['calibrations']['arcframe']['process']['clip'] = False + par['calibrations']['arcframe']['process']['combine'] = 'mean' + par['calibrations']['arcframe']['process']['subtract_continuum'] = True + par['calibrations']['tiltframe']['process']['clip'] = False + par['calibrations']['tiltframe']['process']['combine'] = 'mean' + par['calibrations']['tiltframe']['process']['subtract_continuum'] = True + # Make a bad pixel mask par['calibrations']['bpm_usebias'] = True # Wavelength Calibration Parameters - # Do not sigmaclip the arc frames for better MasterArc and better wavecalib - par['calibrations']['arcframe']['process']['clip'] = False - # Do not sigmaclip the tilt frames - par['calibrations']['tiltframe']['process']['clip'] = False # Arc lamps list from header -- instead of defining the full list here par['calibrations']['wavelengths']['lamps'] = ['use_header'] - #par['calibrations']['wavelengths']['lamps'] = ['NeI', 'ArI', 'CdI', 'HgI'] # Set this as default... but use `holy-grail` for DV4, DV8 par['calibrations']['wavelengths']['method'] = 'full_template' # The DeVeny arc line FWHM varies based on slitwidth used @@ -275,6 +286,9 @@ def default_pypeit_par(cls): par['calibrations']['slitedges']['sync_predict'] = 'nearest' par['calibrations']['slitedges']['minimum_slit_length'] = 90. + # Flat-field parameter modification + par['calibrations']['flatfield']['pixelflat_min_wave'] = 3000. + # For the tilts, our lines are not as well-behaved as others', # possibly due to the Wynne type E camera. par['calibrations']['tilts']['spat_order'] = 4 # Default: 3 @@ -284,14 +298,22 @@ def default_pypeit_par(cls): par['scienceframe']['process']['sigclip'] = 5.0 # Default: 4.5 par['scienceframe']['process']['objlim'] = 2.0 # Default: 3.0 - # Reduction and Extraction Parameters -- Look for fainter objects - par['reduce']['findobj']['snr_thresh'] = 5.0 # Default: 10.0 + # Object Finding and Extraction Parameters + assumed_seeing = 1.2 # arcsec + par['reduce']['findobj']['trace_npoly'] = 3 # Default: 5 + par['reduce']['findobj']['snr_thresh'] = 50.0 # Default: 10.0 + par['reduce']['findobj']['maxnumber_std'] = 1 # Default: 5 + par['reduce']['findobj']['maxnumber_sci'] = 5 # Default: 10 + par['reduce']['findobj']['find_fwhm'] = assumed_seeing / 0.34 # Default: 5.0 pix + par['reduce']['extraction']['boxcar_radius'] = assumed_seeing * 1.5 # Default: 1.5" # Flexure Correction Parameters par['flexure']['spec_method'] = 'boxcar' # Default: 'skip' + par['flexure']['spec_maxshift'] = 30 # Default: 20 # Sensitivity Function Parameters - par['sensfunc']['polyorder'] = 7 # Default: 5 + par['sensfunc']['UVIS']['nresln'] = 15 # Default: 20 + par['sensfunc']['UVIS']['polycorrect'] = False # Default: True return par @@ -331,17 +353,16 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): & (fitstbl['idname'] == 'DOME FLAT') & (fitstbl['lampstat01'] == 'off') ) - if ftype in ['illumflat','sky']: + if ftype == 'illumflat': return ( good_exp & (fitstbl['idname'] == 'SKY FLAT') & (fitstbl['lampstat01'] == 'off') ) if ftype == 'science': - # Both OBJECT and STANDARD frames should be processed as science frames return ( good_exp - & ((fitstbl['idname'] == 'OBJECT') | (fitstbl['idname'] == 'STANDARD')) + & (fitstbl['idname'] == 'OBJECT') & (fitstbl['lampstat01'] == 'off') ) if ftype == 'standard': @@ -356,8 +377,8 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): & (fitstbl['idname'] == 'DARK') & (fitstbl['lampstat01'] == 'off') ) - if ftype in ['pinhole','align']: - # Don't types pinhole or align frames + if ftype in ['pinhole', 'align', 'sky', 'lampoffflats']: + # DeVeny doesn't have any of these types of frames return np.zeros(len(fitstbl), dtype=bool) msgs.warn(f"Cannot determine if frames are of type {ftype}") return np.zeros(len(fitstbl), dtype=bool) @@ -419,21 +440,34 @@ def config_specific_par(self, scifile, inp_par=None): :class:`~pypeit.par.parset.ParSet`: The PypeIt parameter set adjusted for configuration specific parameter values. """ - # Start with instrument wide + # Start with instrument-wide parameters par = super().config_specific_par(scifile, inp_par=inp_par) - # Set parameters based on grating used: + # Adjust parameters based on DeVeny grating used grating = self.get_meta_value(scifile, 'dispname') + # How to compute resolving power on the fly? (From p200_dbsp) + # par['sensfunc']['UVIS']['resolution'] = resolving_power.decompose().value + if grating == 'DV1 (150/5000)': # Use this `reid_arxiv` with the `full-template` method: par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_150_HgCdAr.fits' # Because of the wide wavelength range, split DV1 arcs in half for reidentification par['calibrations']['wavelengths']['nsnippet'] = 2 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 400 + + elif grating == 'DV2 (300/4000)': + # Use this `reid_arxiv` with the `full-template` method: + par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_300_HgCdAr.fits' + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 800 - elif grating in ['DV2 (300/4000)', 'DV3 (300/6750)']: + elif grating == 'DV3 (300/6750)': # Use this `reid_arxiv` with the `full-template` method: par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_300_HgCdAr.fits' + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 1200 elif grating == 'DV4 (400/8000)': # We don't have a good `reid_arxiv`` for this grating yet; use `holy-grail` @@ -441,17 +475,34 @@ def config_specific_par(self, scifile, inp_par=None): par['calibrations']['wavelengths']['method'] = 'holy-grail' par['calibrations']['wavelengths']['sigdetect'] = 10.0 # Default: 5.0 par['calibrations']['wavelengths']['rms_threshold'] = 0.5 # Default: 0.15 + # Start with a lower-order Legendre polymonial for the wavelength fit + par['calibrations']['wavelengths']['n_first'] = 2 # Default: 3 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 1800 elif grating == 'DV5 (500/5500)': # Use this `reid_arxiv` with the `full-template` method: par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_500_HgCdAr.fits' + # Start with a lower-order Legendre polymonial for the wavelength fit + par['calibrations']['wavelengths']['n_first'] = 2 # Default: 3 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 1450 + + elif grating == 'DV6 (600/4900)': + # Use this `reid_arxiv` with the `full-template` method: + par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_600_HgCdAr.fits' + # Start with a lower-order Legendre polymonial for the wavelength fit par['calibrations']['wavelengths']['n_first'] = 2 # Default: 3 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 1500 - elif grating in ['DV6 (600/4900)', 'DV7 (600/6750)']: + elif grating == 'DV7 (600/6750)': # Use this `reid_arxiv` with the `full-template` method: par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_600_HgCdAr.fits' - # Given the narrow range of wavelengths, use a lower initial order of the fit + # Start with a lower-order Legendre polymonial for the wavelength fit par['calibrations']['wavelengths']['n_first'] = 2 # Default: 3 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 2000 elif grating == 'DV8 (831/8000)': # We don't have a good `reid_arxiv`` for this grating yet; use `holy-grail` @@ -459,16 +510,20 @@ def config_specific_par(self, scifile, inp_par=None): par['calibrations']['wavelengths']['method'] = 'holy-grail' par['calibrations']['wavelengths']['sigdetect'] = 10.0 # Default: 5.0 par['calibrations']['wavelengths']['rms_threshold'] = 0.5 # Default: 0.15 - # Given the narrow range of wavelengths, use a lower final order of the fit + # Start/end with a lower-order Legendre polymonial for the wavelength fit par['calibrations']['wavelengths']['n_first'] = 2 # Default: 3 par['calibrations']['wavelengths']['n_final'] = 4 # Default: 5 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 3200 elif grating == 'DV9 (1200/5000)': # Use this `reid_arxiv` with the `full-template` method: par['calibrations']['wavelengths']['reid_arxiv'] = 'ldt_deveny_1200_HgCdAr.fits' - # Given the narrow range of wavelengths, use a lower final order of the fit + # Start/end with a lower-order Legendre polymonial for the wavelength fit par['calibrations']['wavelengths']['n_first'] = 2 # Default: 3 par['calibrations']['wavelengths']['n_final'] = 4 # Default: 5 + # The approximate resolution of this grating + par['sensfunc']['UVIS']['resolution'] = 3000 elif grating == 'DV10 (2160/5000)': # Presently unsupported; no parameter changes @@ -477,6 +532,12 @@ def config_specific_par(self, scifile, inp_par=None): else: pass + # Adjust parameters based on CCD binning + binspec, binspat = parse.parse_binning(self.get_meta_value(scifile, 'binning')) + par['reduce']['findobj']['find_fwhm'] /= binspat # Specified in pixels and not arcsec + par['flexure']['spec_maxshift'] /= binspec + par['sensfunc']['UVIS']['resolution'] /= binspec + return par def get_rawimage(self, raw_file, det): @@ -555,7 +616,78 @@ def get_rawimage(self, raw_file, det): # Return return detector, raw_img, hdu, exptime, rawdatasec_img, oscansec_img - def rotate_trimsections(self, section_string, nspecpix): + def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table): + """ + This routine is for performing instrument/disperser specific tweaks to + standard stars so that sensitivity function fits will be well behaved. + + These are tweaks needed by LDT/DeVeny for smooth sensfunc sailing. + + Parameters + ---------- + wave_in: (float np.ndarray) shape = (nspec,) + Input standard star wavelenghts + counts_in: (float np.ndarray) shape = (nspec,) + Input standard star counts + counts_ivar_in: (float np.ndarray) shape = (nspec,) + Input inverse variance of standard star counts + gpm_in: (bool np.ndarray) shape = (nspec,) + Input good pixel mask for standard + meta_table: (dict) + Table containing meta data that is slupred from the specobjs object. + See unpack_object routine in specobjs.py for the contents of this table. + + Returns + ------- + wave_out: (float np.ndarray) shape = (nspec,) + Output standard star wavelenghts + counts_out: (float np.ndarray) shape = (nspec,) + Output standard star counts + counts_ivar_out: (float np.ndarray) shape = (nspec,) + Output inverse variance of standard star counts + gpm_out: (bool np.ndarray) shape = (nspec,) + Output good pixel mask for standard + """ + # First, simply chop off the wavelengths outside physical limits: + beyond = (wave_in < 2900.0) | (wave_in > 11000.0) + wave_out = wave_in[np.logical_not(beyond)] + counts_out = counts_in[np.logical_not(beyond)] + counts_ivar_out = counts_ivar_in[np.logical_not(beyond)] + gpm_out = gpm_in[np.logical_not(beyond)] + + # Next, build a gpm based on other reasonable wavelengths and filters + edge_region = (wave_out < 3000.0) | (wave_out > 10200.0) + neg_counts = counts_out <= 0 + + # If an order-blocking filter was in use, mask blocked region + # at "nominal" cutoff value + if 'FILTER1' in meta_table.keys(): + rearfilt = meta_table['FILTER1'].strip() + if rearfilt == "OG570": + block_region = wave_out < 5700.0 + elif rearfilt == 'GG495': + block_region = wave_out < 4950.0 + elif rearfilt == 'GG420': + block_region = wave_out < 4200.0 + elif rearfilt == 'WG360': + block_region = wave_out < 3600.0 + else: + block_region = wave_out < 0 + # In case the filter didn't make it into the header + else: block_region = wave_out < 0 + + # Build up the OUTPUT GOOD PIXEL MASK + gpm_out = ( + gpm_out + & np.logical_not(edge_region) + & np.logical_not(neg_counts) + & np.logical_not(block_region) + ) + + return wave_out, counts_out, counts_ivar_out, gpm_out + + @staticmethod + def rotate_trimsections(section_string: str, nspecpix: int): """ In order to orient LDT/DeVeny images into the PypeIt-standard configuration, frames are essentially rotated 90º clockwise. As such, @@ -582,8 +714,73 @@ def rotate_trimsections(self, section_string, nspecpix): # The spatial section is unchanged, but the spectral section flips # Add 1 because the pixels are 1-indexed (FITS standard) - # TODO: Why does this need to be cast specifically as int32? - y2p, y1p = nspecpix - np.int32(spec_sec.split(':')) + 1 + y2p, y1p = nspecpix - np.array(spec_sec.split(':'), dtype=int) + 1 # Return the PypeIt-standard Numpy array return np.atleast_1d(f"[{spat_sec},{y1p}:{y2p}]") + + @staticmethod + def scrub_isot_dateobs(dt_str: str): + """Scrub the input DATE-OBS for ingestion by datetime + + First of all, strict ISO 8601 format requires a 6-digit "microsecond" field + as the fractional portion of the seconds. In the DATE-OBS field, lois only + prints two digits for the fractional second. The main scrub here adds + additional trailing zeroes to satifsy the formatting requirements of + :obj:`datetime.datetime.fromisoformat`. + + While this yields happy results for the majority of cases, sometimes lois + has roundoff abnormalities in the time string written to the DATE-OBS + header keyword. For example, "2020-01-30T13:17:010.00" was written, where + the seconds has 3 digits -- presumably the seconds field was constructed + with a leading zero because ``sec`` was < 10, but when rounded for printing + yielded "10.00", producing a complete seconds field of "010.00". + + These kinds of abnormalities cause the standard python datetime parsers to + freak out with ``ValueError`` s. This function attempts to return the + datetime directly, but then scrubs any values that cause a ``ValueError``. + + The scrubbing consists of deconstructing the string into its components, + then carefully reconstructing it into proper ISO 8601 format. Also, some + recursive edge-case catching is done, but at some point you just have to + go buy a lottery ticket. + + Parameters + ---------- + dt_str : str + Input datetime string from the DATE-OBS header keyword + + Returns + ------- + `astropy.time.Time`_ + The Astropy Time() object corresponding to the DATE-OBS input string + """ + # Clean all leading / trailing whitespace + dt_str = dt_str.strip() + try: + # fromisoformat() expects a 6-digit microsecond field; append zeros + if (n_micro := len(dt_str.split(".")[-1])) < 6: + dt_str += "0" * (6 - n_micro) + return Time(dt_str, format='isot') + except ValueError: + # Split out all pieces of the datetime, and recompile + date, time = dt_str.split("T") + yea, mon, day = date.split("-") + hou, mnt, sec = time.split(":") + # Check if the seconds is exactly equal to 60... increment minute + if sec == "60.00": + sec = "00.00" + if mnt != "59": + mnt = int(mnt) + 1 + else: + mnt = "00" + if hou != "23": + hou = int(hou) + 1 + else: + hou = "00" + # If the edge cases go past here, go buy a lottery ticket! + day = int(day) + 1 + # Reconstitute the DATE-OBS string, and return the Time() object + date = f"{int(yea):04d}-{int(mon):02d}-{int(day):02d}" + time = f"{int(hou):02d}:{int(mnt):02d}:{float(sec):09.6f}" + return Time(f"{date}T{time}", format='isot') From 735f32eb4107c457922baf75edd9924d73c161e2 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Wed, 12 Apr 2023 12:32:52 -0700 Subject: [PATCH 235/308] Update error msgs for bad frametypes in .pypeit file Make it a little clearer what the user needs to do to fix the problem. modified: pypeit/bitmask.py modified: pypeit/metadata.py --- pypeit/bitmask.py | 6 ++++-- pypeit/metadata.py | 12 ++++++++---- 2 files changed, 12 insertions(+), 6 deletions(-) diff --git a/pypeit/bitmask.py b/pypeit/bitmask.py index 49deef9948..da7bd64158 100644 --- a/pypeit/bitmask.py +++ b/pypeit/bitmask.py @@ -19,6 +19,8 @@ import os import textwrap +from pypeit import msgs + class BitMask: r""" Generic class to handle and manipulate bitmasks. The input list of @@ -103,11 +105,11 @@ def _prep_flags(self, flag): _flag = numpy.array(self.keys()) if flag is None else numpy.atleast_1d(flag).ravel() # NULL flags not allowed if numpy.any([f == 'NULL' for f in _flag]): - raise ValueError('Flag name NULL is not allowed.') + msgs.error('Flag name NULL is not allowed.') # Flags should be among the bitmask keys indx = numpy.array([f not in self.keys() for f in _flag]) if numpy.any(indx): - raise ValueError('The following bit names are not recognized: {0}'.format( + msgs.error('The following bit names are not recognized: {0}'.format( ', '.join(_flag[indx]))) # # Flags should be strings # if numpy.any([ not isinstance(f, str) for f in _flag ]): diff --git a/pypeit/metadata.py b/pypeit/metadata.py index a0efdc2683..e3765bfcae 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -15,7 +15,7 @@ import numpy as np import yaml -from astropy import table, coordinates, time, units +from astropy import table, time from pypeit import msgs from pypeit import utils @@ -27,6 +27,7 @@ from pypeit.io import dict_to_lines from pypeit.par import PypeItPar from pypeit.bitmask import BitMask +from pypeit.pypmsgs import PypeItError # TODO: Turn this into a DataContainer @@ -1290,13 +1291,16 @@ def get_frame_types(self, flag_unknown=False, user=None, merge=True): if user is not None: if len(user.keys()) != len(self): if len(np.unique(self['filename'].data)) != len(self): - raise ValueError('Your pypeit file has duplicate filenames which is not allowed.') + msgs.error('Your pypeit file has duplicate filenames which is not allowed.') else: - raise ValueError('The user-provided dictionary does not match table length.') + msgs.error('The user-provided dictionary does not match table length.') msgs.info('Using user-provided frame types.') for ifile,ftypes in user.items(): indx = self['filename'] == ifile - type_bits[indx] = self.type_bitmask.turn_on(type_bits[indx], flag=ftypes.split(',')) + try: + type_bits[indx] = self.type_bitmask.turn_on(type_bits[indx], flag=ftypes.split(',')) + except PypeItError as err: + msgs.error(f'Improper frame type supplied!{msgs.newline()}Check your PypeIt Reduction File') return self.set_frame_types(type_bits, merge=merge) # Loop over the frame types From f5b0ac0dec4c9af26c6f3ae13f2a2052130fb982 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 13 Apr 2023 11:04:19 -0700 Subject: [PATCH 236/308] Minor flexure updates (QA and forcing `spec_maxshift` to int) In, the center of the correlation should be the integer `lag0` value. Force `spec_maxshift` to be integer, because it is used directly in a slice. modified: pypeit/core/flexure.py modified: pypeit/par/pypeitpar.py modified: pypeit/spectrographs/ldt_deveny.py --- pypeit/core/flexure.py | 10 +++++----- pypeit/par/pypeitpar.py | 2 +- pypeit/spectrographs/ldt_deveny.py | 2 +- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/pypeit/core/flexure.py b/pypeit/core/flexure.py index 1a54c03ce3..69701387fc 100644 --- a/pypeit/core/flexure.py +++ b/pypeit/core/flexure.py @@ -129,9 +129,9 @@ def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm_pix=None, Spectral FWHM (in pixels) of the archived sky spectrum. spec_fwhm_pix (:obj:`float`, optional): Spectral FWHM (in pixels) of the sky spectrum related to our object/slit. - mxshft (:obj:`float`, optional): + mxshft (:obj:`int`, optional): Maximum allowed shift from flexure; note there are cases that - have been known to exceed even 30 pixels.. + have been known to exceed even 30 pixels. excess_shft (:obj:`str`, optional): Behavior of the code when a measured flexure exceeds ``mxshft``. Options are "crash", "set_to_zero", and "continue", where @@ -313,7 +313,7 @@ def spec_flex_shift(obj_skyspec, arx_skyspec, arx_fwhm_pix, spec_fwhm_pix=None, return dict(polyfit=fit, shift=shift, subpix=subpix_grid, corr=corr[subpix_grid.astype(int)], sky_spec=obj_skyspec, arx_spec=arx_skyspec, - corr_cen=corr.size/2, smooth=smooth_fwhm_pix, method=method) + corr_cen=lag0, smooth=smooth_fwhm_pix, method=method) def get_fwhm_gauss_smooth(arx_skyspec, obj_skyspec, arx_fwhm_pix, spec_fwhm_pix=None): @@ -935,7 +935,7 @@ def spec_flexure_qa(slitords, bpm, basename, flex_list, iplt += 1 # Finish plt.tight_layout(pad=0.2, h_pad=0.0, w_pad=0.0) - plt.savefig(outfile, dpi=400) + plt.savefig(outfile)#, dpi=400) plt.close() # Sky line QA (just one object) @@ -1002,7 +1002,7 @@ def spec_flexure_qa(slitords, bpm, basename, flex_list, # Finish plt.tight_layout(pad=0.2, h_pad=0.0, w_pad=0.0) - plt.savefig(outfile, dpi=400) + plt.savefig(outfile)#, dpi=400) plt.close() msgs.info("Wrote spectral flexure QA: {}".format(outfile)) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 829adb704e..ce1d260b4f 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -834,7 +834,7 @@ def __init__(self, spec_method=None, spec_maxshift=None, spectrum=None, 'Options are: None, {0}'.format(', '.join(options['spec_method'])) defaults['spec_maxshift'] = 20 - dtypes['spec_maxshift'] = [int, float] + dtypes['spec_maxshift'] = int descr['spec_maxshift'] = 'Maximum allowed spectral flexure shift in pixels.' defaults['spectrum'] = 'paranal_sky.fits' diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 54ea133e92..fe9acbb753 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -535,7 +535,7 @@ def config_specific_par(self, scifile, inp_par=None): # Adjust parameters based on CCD binning binspec, binspat = parse.parse_binning(self.get_meta_value(scifile, 'binning')) par['reduce']['findobj']['find_fwhm'] /= binspat # Specified in pixels and not arcsec - par['flexure']['spec_maxshift'] /= binspec + par['flexure']['spec_maxshift'] //= binspec # Must be an integer par['sensfunc']['UVIS']['resolution'] /= binspec return par From 093d1d72901ee8ed68df7c7e8714a68938eee215 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 14 Apr 2023 11:04:21 -0700 Subject: [PATCH 237/308] Update LDT and DeVeny optical parameters modified: pypeit/spectrographs/ldt_deveny.py modified: pypeit/telescopes.py --- pypeit/spectrographs/ldt_deveny.py | 1 + pypeit/telescopes.py | 6 +++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index fe9acbb753..0d67b1e691 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -23,6 +23,7 @@ class LDTDeVenySpectrograph(spectrograph.Spectrograph): ndet = 1 name = 'ldt_deveny' telescope = telescopes.LDTTelescopePar() + telescope.fratio = 7.5 # The corrector optics for DeVeny reshape the beam to f/7.5 camera = 'DeVeny' url = 'https://lowell.edu/research/telescopes-and-facilities/ldt/deveny-optical-spectrograph/' header_name = 'Deveny' diff --git a/pypeit/telescopes.py b/pypeit/telescopes.py index ce44e7d180..d899bbf460 100644 --- a/pypeit/telescopes.py +++ b/pypeit/telescopes.py @@ -189,9 +189,9 @@ def __init__(self): longitude=loc.lon.to(units.deg).value, latitude=loc.lat.to(units.deg).value, elevation=loc.height.to(units.m).value, - fratio=6.1, - diameter=4.3, - eff_aperture=12.85) + fratio=6.18, + diameter=4.25, + eff_aperture=12.37) # TODO provisional values From 9bb7b39ccfc8064e701e47907db5aefd70a47763 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 14 Apr 2023 17:43:07 -0700 Subject: [PATCH 238/308] Bugfix to correctly read in paths that contain spaces As filesystems allow spaces in path elements, the input file parser needs to preserve any extant spaces. modified: pypeit/inputfiles.py --- pypeit/inputfiles.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pypeit/inputfiles.py b/pypeit/inputfiles.py index 17759633c7..121deb5791 100644 --- a/pypeit/inputfiles.py +++ b/pypeit/inputfiles.py @@ -269,7 +269,9 @@ def _read_data_file_table(lines): paths = [] for l in lines: # Strip allows for preceding spaces before path - prs = l.strip().split(" ") + l = l.strip() + # Split at only the first space to allow paths that contain spaces + prs = [l[:l.find(' ')], l[l.find(' ')+1:]] if prs[0] != 'path': break paths += [ prs[1] ] From 6fdb2af3f4449a940bb2a1b72404776e132ea93a Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 10:27:17 -0700 Subject: [PATCH 239/308] testing --- pypeit/pypeit.py | 16 ++++++++++------ pypeit/scripts/coadd_2dspec.py | 4 ++-- pypeit/scripts/ql.py | 5 +++-- 3 files changed, 15 insertions(+), 10 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index b0a0de9cec..106d341982 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -430,12 +430,16 @@ def reduce_all(self): u_combid = np.unique(self.fitstbl['comb_id'][grp_science]) for j, comb_id in enumerate(u_combid): - # Quicklook mode? - # TODO: This is the only place this is used, I think... - if self.par['rdx']['quicklook'] and j > 0: - msgs.warn('PypeIt executed in quicklook mode. Only reducing science frames ' - 'in the first combination group!') - break + # TODO: This was causing problems when multiple science frames + # were provided to quicklook and the user chose *not* to stack + # the frames. But this means it now won't skip processing the + # B-A pair when the background image(s) are defined. Punting + # for now... +# # Quicklook mode? +# if self.par['rdx']['quicklook'] and j > 0: +# msgs.warn('PypeIt executed in quicklook mode. Only reducing science frames ' +# 'in the first combination group!') +# break # frames = np.where(self.fitstbl['comb_id'] == comb_id)[0] # Find all frames whose comb_id matches the current frames bkg_id. diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index edad10d7c9..7327f13c12 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -113,8 +113,8 @@ def main(args): # pypeit_qa_dir = pypeit_scidir.parent / par['rdx']['qadir'] # coadd_qa_dir = pypeit_scidir.parent / f"{par['rdx']['qadir']}_coadd" # qa_path = coadd_qa_dir / 'PNGs' - parset['rdx']['qadir'] += '_coadd' - qa_path = pypeit_scidir.parent / parset['rdx']['qadir'] / 'PNGs' + par['rdx']['qadir'] += '_coadd' + qa_path = pypeit_scidir.parent / par['rdx']['qadir'] / 'PNGs' if not qa_path.exists(): qa_path.mkdir(parents=True) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index e46ce2a4ee..b081ac85a3 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -717,7 +717,8 @@ def main(args): pypeIt.reduce_all() pypeIt.build_qa() - # Preform coadding if requested + # TODO: There are currently no tests for this!! + # Perform coadding if requested if args.coadd: # Run the setup script to get the baseline coadd2d file # TODO: Add sensitivity functions, and other options @@ -734,7 +735,7 @@ def main(args): msgs.warn(f'{coadd_file} only has one spec2d file. Continuing...') continue - # TODO: Add options + # TODO: Add options (e.g. spatial/spectral sampling...) CoAdd2DSpec.main(CoAdd2DSpec.parse_args([coadd_file])) exec_s = np.around(time.perf_counter()-tstart, decimals=1) From dcb7133cb5cd423d3388c1ec36f25098e3187655 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 10:51:16 -0700 Subject: [PATCH 240/308] doc update --- doc/api/pypeit.scripts.rst | 1 + doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 13 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 25 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 6 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_calibs.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_calib_id.rst | 13 - doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 26 +- doc/help/pypeit_ql_multislit.rst | 2 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 2 +- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 2 +- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 4 +- doc/include/class_datamodel_bspline.rst | 2 +- doc/include/class_datamodel_datacube.rst | 25 +- doc/include/class_datamodel_edgetraceset.rst | 2 +- .../class_datamodel_manualextractionobj.rst | 2 +- doc/include/class_datamodel_specobj.rst | 4 +- doc/include/dependencies_table.rst | 2 +- doc/include/inst_detector_table.rst | 4 +- doc/include/keck_nires_A.pypeit.rst | 8 +- doc/include/keck_nires_A_corrected.pypeit.rst | 8 +- doc/include/links.rst | 3 +- doc/pypeit_par.rst | 333 +++++++++--------- doc/scripts/build_datacontainer_datamodels.py | 3 +- pypeit/spectrographs/spectrograph.py | 2 +- 53 files changed, 272 insertions(+), 280 deletions(-) delete mode 100644 doc/help/pypeit_parse_calib_id.rst diff --git a/doc/api/pypeit.scripts.rst b/doc/api/pypeit.scripts.rst index 7e8a2147a0..37753e573d 100644 --- a/doc/api/pypeit.scripts.rst +++ b/doc/api/pypeit.scripts.rst @@ -38,6 +38,7 @@ Submodules pypeit.scripts.scriptbase pypeit.scripts.sensfunc pypeit.scripts.setup + pypeit.scripts.setup_coadd2d pypeit.scripts.show_1dspec pypeit.scripts.show_2dspec pypeit.scripts.show_arxiv diff --git a/doc/help/pypeit_cache_github_data.rst b/doc/help/pypeit_cache_github_data.rst index 5948f93d00..2edc890ebc 100644 --- a/doc/help/pypeit_cache_github_data.rst +++ b/doc/help/pypeit_cache_github_data.rst @@ -25,7 +25,7 @@ vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - options: + optional arguments: -h, --help show this help message and exit --force_update Force download of GitHub file (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index a68e12c7ca..440eb0b0ef 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits] - options: + optional arguments: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: Alignments) \ No newline at end of file diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index 8547fb26d8..f226c14e5a 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -8,11 +8,10 @@ positional arguments: trace_file PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz] - options: - -h, --help show this help message and exit - --chname CHNAME Channel name for image in Ginga (default: MTrace) - --mpl Use a matplotlib window instead of ginga to show the trace - (default: False) - --try_old Attempt to load old datamodel versions. A crash may ensue.. - (default: False) + optional arguments: + -h, --help show this help message and exit + --mpl Use a matplotlib window instead of ginga to show the trace + (default: False) + --try_old Attempt to load old datamodel versions. A crash may ensue.. + (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index 91f2178cb3..fc04d50177 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Flat file [e.g. Flat_A_1_DET01.fits] - options: + optional arguments: -h, --help show this help message and exit --type TYPE Which flats to display. Must be one of: pixel, illum, all (default: all) diff --git a/doc/help/pypeit_chk_for_calibs.rst b/doc/help/pypeit_chk_for_calibs.rst index 34b2c930bc..c48c189260 100644 --- a/doc/help/pypeit_chk_for_calibs.rst +++ b/doc/help/pypeit_chk_for_calibs.rst @@ -10,7 +10,7 @@ positional arguments: root File path+root, e.g. /data/Kast/b - options: + optional arguments: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_chk_noise_1dspec.rst b/doc/help/pypeit_chk_noise_1dspec.rst index 80fa4e2613..6d8b176f81 100644 --- a/doc/help/pypeit_chk_noise_1dspec.rst +++ b/doc/help/pypeit_chk_noise_1dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec1d file(s) (default: None) - options: + optional arguments: -h, --help show this help message and exit --fileformat FILEFORMAT Is this coadd1d or spec1d? (default: spec1d) diff --git a/doc/help/pypeit_chk_noise_2dspec.rst b/doc/help/pypeit_chk_noise_2dspec.rst index fc20909467..d5be3f1c5b 100644 --- a/doc/help/pypeit_chk_noise_2dspec.rst +++ b/doc/help/pypeit_chk_noise_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec2d file(s) (default: None) - options: + optional arguments: -h, --help show this help message and exit --det DET Detector name or number. If a number, the name is constructed assuming the reduction is for a single diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 6835c646a2..75b3317647 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -9,6 +9,6 @@ input_file PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or spec2d file - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_coadd_1dspec.rst b/doc/help/pypeit_coadd_1dspec.rst index 70e09065cf..7cb6e00a1b 100644 --- a/doc/help/pypeit_coadd_1dspec.rst +++ b/doc/help/pypeit_coadd_1dspec.rst @@ -50,7 +50,7 @@ placed in the same directory as the first spec1d file. - options: + optional arguments: -h, --help show this help message and exit --debug show debug plots? --show show QA during coadding process diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index 7e39b3efe4..f496cbf340 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -1,27 +1,20 @@ .. code-block:: console $ pypeit_coadd_2dspec -h - usage: pypeit_coadd_2dspec [-h] [--file FILE] [--det DET] [--obj OBJ] [--show] - [--debug_offsets] [--peaks] [--basename BASENAME] + usage: pypeit_coadd_2dspec [-h] [--show] [--debug_offsets] [--peaks] + [--basename BASENAME] [--spec_samp_fact SPEC_SAMP_FACT] [--spat_samp_fact SPAT_SAMP_FACT] [--debug] - [--only_slits ONLY_SLITS] [-v VERBOSITY] + [-v VERBOSITY] + coadd2d_file Coadd 2D spectra produced by PypeIt - options: + positional arguments: + coadd2d_file File to guide 2d coadds + + optional arguments: -h, --help show this help message and exit - --file FILE File to guide 2d coadds (default: None) - --det DET 1-indexed detector or list of detectors that the user - wants tocoadd. If None, all the detectors are coadded. - If the spec2d aremosaiced and the user wants to restrict - the coadd to only selectedmosaics, use the parameter - detnum in the coadd2d file as done inrun_pypeit - (default: None) - --obj OBJ Object name in lieu of extension, e.g if the spec2d - files are named - 'spec2d_J1234+5678_GNIRS_2017Mar31T085412.181.fits' then - use --obj J1234+5678 (default: None) --show Show the reduction steps. Equivalent to the -s option when running pypeit. (default: False) --debug_offsets Show QA plots useful for debugging automatic offset @@ -39,8 +32,6 @@ coarser (spat_samp_fact > 1.0) by this sampling factor, i.e. units of spat_samp_fact are pixels. (default: 1.0) --debug show debug plots? (default: False) - --only_slits ONLY_SLITS - Only coadd the following slits (default: None) -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all]. Default: 1. Level 2 writes a log with filename diff --git a/doc/help/pypeit_coadd_datacube.rst b/doc/help/pypeit_coadd_datacube.rst index 8443926bdf..d985b4adb1 100644 --- a/doc/help/pypeit_coadd_datacube.rst +++ b/doc/help/pypeit_coadd_datacube.rst @@ -8,7 +8,7 @@ positional arguments: file filename.coadd3d file - options: + optional arguments: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_collate_1d.rst b/doc/help/pypeit_collate_1d.rst index d2ffb83325..e33778feff 100644 --- a/doc/help/pypeit_collate_1d.rst +++ b/doc/help/pypeit_collate_1d.rst @@ -42,7 +42,7 @@ ... end - options: + optional arguments: -h, --help show this help message and exit --spec1d_files [SPEC1D_FILES ...] One or more spec1d files to flux/coadd/archive. Can @@ -62,8 +62,8 @@ each other, they are considered the same object. If match_using is 'ra/dec' (the default) this is an angular distance. The defaults units are arcseconds but other - units supported by astropy.coordinates.Angle can be - used(e.g. '0.003d' or '0h1m30s'). If match_using is + units supported by astropy.coordinates.Angle can be used + (`e.g.`, '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float. --match_using MATCH_USING Determines how 1D spectra are matched as being the same diff --git a/doc/help/pypeit_compare_sky.rst b/doc/help/pypeit_compare_sky.rst index 9e2f02f7d1..b76f647862 100644 --- a/doc/help/pypeit_compare_sky.rst +++ b/doc/help/pypeit_compare_sky.rst @@ -12,7 +12,7 @@ file spec1d Spectral file skyfile Archived PypeIt sky file (e.g. paranal_sky.fits) - options: + optional arguments: -h, --help show this help message and exit --exten EXTEN FITS extension (default: None) --optimal Show Optimal? Default is boxcar (default: False) diff --git a/doc/help/pypeit_flux_calib.rst b/doc/help/pypeit_flux_calib.rst index 2794ddf7f3..769f27aae3 100644 --- a/doc/help/pypeit_flux_calib.rst +++ b/doc/help/pypeit_flux_calib.rst @@ -46,7 +46,7 @@ spectrographs: keck_deimos - options: + optional arguments: -h, --help show this help message and exit --debug show debug plots? --par_outfile Output to save the parameters diff --git a/doc/help/pypeit_flux_setup.rst b/doc/help/pypeit_flux_setup.rst index 83b3fbb379..a0dac7e6fe 100644 --- a/doc/help/pypeit_flux_setup.rst +++ b/doc/help/pypeit_flux_setup.rst @@ -8,7 +8,7 @@ positional arguments: sci_path Path for Science folder - options: + optional arguments: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the telluric fitting. The diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index ad46ccf638..4f2b5142e8 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -13,7 +13,7 @@ arc_file PypeIt Arc file slits_file PypeIt Slits file - options: + optional arguments: -h, --help show this help message and exit --lamps LAMPS Comma separated list of calibration lamps (no spaces) (default: None) diff --git a/doc/help/pypeit_install_extinctfile.rst b/doc/help/pypeit_install_extinctfile.rst index 6afa788341..64090f4d10 100644 --- a/doc/help/pypeit_install_extinctfile.rst +++ b/doc/help/pypeit_install_extinctfile.rst @@ -9,6 +9,6 @@ files Filename(s) of the extinction file(s) to be installed in the PypeIt cache - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_linelist.rst b/doc/help/pypeit_install_linelist.rst index be23b96a96..af1bbe414c 100644 --- a/doc/help/pypeit_install_linelist.rst +++ b/doc/help/pypeit_install_linelist.rst @@ -9,6 +9,6 @@ files Filename(s) of the line list files to be installed in the PypeIt cache - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_ql_calibs.rst b/doc/help/pypeit_install_ql_calibs.rst index 9785d3dcf6..0299360259 100644 --- a/doc/help/pypeit_install_ql_calibs.rst +++ b/doc/help/pypeit_install_ql_calibs.rst @@ -6,7 +6,7 @@ Script to install PypeIt QL calibration files - options: + optional arguments: -h, --help show this help message and exit --zip ZIP Zip file of the full QL_CALIB directory downloaded from the PypeIt Google Drive (default: None) diff --git a/doc/help/pypeit_install_telluric.rst b/doc/help/pypeit_install_telluric.rst index 387b524076..8eb93ed9b6 100644 --- a/doc/help/pypeit_install_telluric.rst +++ b/doc/help/pypeit_install_telluric.rst @@ -10,7 +10,7 @@ files Filename(s) of the TelFits files to be downloaded from the Cloud and installed in the PypeIt cache - options: + optional arguments: -h, --help show this help message and exit --force_update Force download of latest version of the telluric grid (default: False) diff --git a/doc/help/pypeit_lowrdx_skyspec.rst b/doc/help/pypeit_lowrdx_skyspec.rst index e1579a96fa..86afed5c96 100644 --- a/doc/help/pypeit_lowrdx_skyspec.rst +++ b/doc/help/pypeit_lowrdx_skyspec.rst @@ -10,6 +10,6 @@ lowrdx_sky LowRedux Sky Spectrum (IDL save file) new_file PYPIT FITS sky spectrum - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_multislit_flexure.rst b/doc/help/pypeit_multislit_flexure.rst index 4e748c2d5e..a12e4d948e 100644 --- a/doc/help/pypeit_multislit_flexure.rst +++ b/doc/help/pypeit_multislit_flexure.rst @@ -19,7 +19,7 @@ outroot Output fileroot for the flexure fits saved as FITS. - options: + optional arguments: -h, --help show this help message and exit --clobber Clobber output files --debug show debug plots? diff --git a/doc/help/pypeit_obslog.rst b/doc/help/pypeit_obslog.rst index 1f6e2b5290..8ca1ccaf68 100644 --- a/doc/help/pypeit_obslog.rst +++ b/doc/help/pypeit_obslog.rst @@ -30,7 +30,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - options: + optional arguments: -h, --help show this help message and exit -r ROOT, --root ROOT Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string diff --git a/doc/help/pypeit_parse_calib_id.rst b/doc/help/pypeit_parse_calib_id.rst deleted file mode 100644 index d32f7d7718..0000000000 --- a/doc/help/pypeit_parse_calib_id.rst +++ /dev/null @@ -1,13 +0,0 @@ -.. code-block:: console - - $ pypeit_parse_calib_id -h - usage: pypeit_parse_calib_id [-h] pypeit_file - - Parse the pypeit file for the calib IDs - - positional arguments: - pypeit_file PypeIt reduction file (must have .pypeit extension) - - options: - -h, --help show this help message and exit - \ No newline at end of file diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index f58c4230f4..83ad2223d2 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -8,6 +8,6 @@ positional arguments: input_file Either a spec2D or Slits filename - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_qa_html.rst b/doc/help/pypeit_qa_html.rst index 53e02ef3d0..3d8212496c 100644 --- a/doc/help/pypeit_qa_html.rst +++ b/doc/help/pypeit_qa_html.rst @@ -9,7 +9,7 @@ pypeit_file PYPIT file type QA Type (MF, exp, all) - options: + optional arguments: -h, --help show this help message and exit --qapath QAPATH Path the QA folder including QA/) (default: QA/) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index 755c338819..87964f1b02 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -5,10 +5,11 @@ [--raw_path RAW_PATH] [--ext EXT] [--sci_files SCI_FILES [SCI_FILES ...]] [--redux_path REDUX_PATH] [--parent_calib_dir PARENT_CALIB_DIR] - [--setup_calib_dir SETUP_CALIB_DIR] [--calibs_only] + [--setup_calib_dir SETUP_CALIB_DIR] [--clean] [--calibs_only] [--overwrite_calibs] [--slitspatnum SLITSPATNUM] [--maskID MASKID] [--boxcar_radius BOXCAR_RADIUS] - [--det DET [DET ...]] [--no_stack] [--bkg_redux] + [--det DET [DET ...]] [--no_stack] [--ignore_std] + [--snr_thresh SNR_THRESH] [--coadd] spectrograph Script to produce quick-look PypeIt reductions @@ -34,7 +35,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - options: + optional arguments: -h, --help show this help message and exit --raw_files RAW_FILES [RAW_FILES ...] Either a PypeIt-formatted input file with the list of @@ -75,6 +76,10 @@ directory is given by parent_calib_dir (or redux_path) and the sub-directories follow the normal PypeIt naming scheme. (default: None) + --clean Remove the existing output directories to force a fresh + reduction. If False, any existing directory structure + will remain, but any existing science files will still + be overwritten. (default: False) --calibs_only Reduce only the calibrations? (default: False) --overwrite_calibs Overwrite any existing calibration files? (default: False) @@ -96,11 +101,12 @@ reduce mosaics made up of detectors 1,5 and 3,7, you would use --det 1,5 3,7 (default: None) --no_stack Do *not* stack multiple science frames (default: True) - --bkg_redux If set the script will perform difference imaging. - Namely it will identify sequences of AB pairs based on - the dither pattern and perform difference imaging sky - subtraction and fit for residuals. This functionality - only works for instruments where PypeIt can - automatically parse dither sequences from the file - headers. (default: False) + --ignore_std If standard star observations are automatically + detected, ignore those frames. Otherwise, they are + included with the reduction of the science frames. + (default: False) + --snr_thresh SNR_THRESH + Change the default S/N threshold used during source + detection (default: None) + --coadd Perform default 2D coadding. (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_ql_multislit.rst b/doc/help/pypeit_ql_multislit.rst index ce83350892..05c73563ec 100644 --- a/doc/help/pypeit_ql_multislit.rst +++ b/doc/help/pypeit_ql_multislit.rst @@ -34,7 +34,7 @@ full_rawpath Full path to the raw files files list of frames i.e. img1.fits img2.fits - options: + optional arguments: -h, --help show this help message and exit --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or diff --git a/doc/help/pypeit_sensfunc.rst b/doc/help/pypeit_sensfunc.rst index f7fbd5a38b..98969a583e 100644 --- a/doc/help/pypeit_sensfunc.rst +++ b/doc/help/pypeit_sensfunc.rst @@ -12,7 +12,7 @@ spec1dfile spec1d file for the standard that will be used to compute the sensitivity function - options: + optional arguments: -h, --help show this help message and exit --algorithm {UVIS,IR} Override the default algorithm for computing the diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index 9f1f06aa73..bc5388ff0b 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -8,7 +8,7 @@ Parse data files to construct a pypeit file in preparation for reduction using 'run_pypeit' - options: + optional arguments: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_show_1dspec.rst b/doc/help/pypeit_show_1dspec.rst index f137590c50..373447417c 100644 --- a/doc/help/pypeit_show_1dspec.rst +++ b/doc/help/pypeit_show_1dspec.rst @@ -10,7 +10,7 @@ positional arguments: file Spectral file - options: + optional arguments: -h, --help show this help message and exit --list List the extensions only? (default: False) --exten EXTEN FITS extension (default: 1) diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index a100df25e4..d3be9ffd62 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: file Path to a PypeIt spec2d file - options: + optional arguments: -h, --help show this help message and exit --list List the extensions only? (default: False) --det DET Detector name or number. If a number, the name is diff --git a/doc/help/pypeit_show_arxiv.rst b/doc/help/pypeit_show_arxiv.rst index b8cb130a57..994672a54c 100644 --- a/doc/help/pypeit_show_arxiv.rst +++ b/doc/help/pypeit_show_arxiv.rst @@ -8,7 +8,7 @@ positional arguments: file Arxiv filename, e.g. gemini_gmos_r831_ham.fits - options: + optional arguments: -h, --help show this help message and exit --det DET Detector number (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index 43684e9cc2..2b83ff5627 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -10,7 +10,7 @@ file WaveCalib file slit_order Slit or Order number - options: + optional arguments: -h, --help show this help message and exit --slit_file SLIT_FILE Slit file (default: None) diff --git a/doc/help/pypeit_skysub_regions.rst b/doc/help/pypeit_skysub_regions.rst index d5e887fde1..cbaa87e822 100644 --- a/doc/help/pypeit_skysub_regions.rst +++ b/doc/help/pypeit_skysub_regions.rst @@ -10,7 +10,7 @@ positional arguments: file spec2d file - options: + optional arguments: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_tellfit.rst b/doc/help/pypeit_tellfit.rst index 28ae52089d..ca4a4276ab 100644 --- a/doc/help/pypeit_tellfit.rst +++ b/doc/help/pypeit_tellfit.rst @@ -11,7 +11,7 @@ positional arguments: spec1dfile spec1d file that will be used for telluric correction. - options: + optional arguments: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the fitting. The options diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 8a15d76819..9bebeb7c92 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -8,7 +8,7 @@ Trace slit edges - options: + optional arguments: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_view_fits.rst b/doc/help/pypeit_view_fits.rst index 406eb833da..efb4f521d9 100644 --- a/doc/help/pypeit_view_fits.rst +++ b/doc/help/pypeit_view_fits.rst @@ -30,7 +30,7 @@ wht_isis_blue, wht_isis_red file FITS file - options: + optional arguments: -h, --help show this help message and exit --list List the extensions only? (default: False) --proc Process the image (i.e. orient, overscan subtract, diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index 8da12deadb..2dd64b97d5 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -4,7 +4,7 @@ usage: run_pypeit [-h] [-v VERBOSITY] [-r REDUX_PATH] [-m] [-s] [-o] [-c] pypeit_file - ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.2.dev137+g95b15695a + ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev199+g694f89093.d20230411 ## ## Available spectrographs include: ## bok_bc, gemini_flamingos1, gemini_flamingos2, gemini_gmos_north_e2v, @@ -25,7 +25,7 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - options: + optional arguments: -h, --help show this help message and exit -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all] diff --git a/doc/include/class_datamodel_bspline.rst b/doc/include/class_datamodel_bspline.rst index 7c00a1c830..223d127840 100644 --- a/doc/include/class_datamodel_bspline.rst +++ b/doc/include/class_datamodel_bspline.rst @@ -8,7 +8,7 @@ Attribute Type Array Type Description ``coeff`` `numpy.ndarray`_ `numpy.floating`_ Fit coefficients ``funcname`` str Function of fit ``icoeff`` `numpy.ndarray`_ `numpy.floating`_ ?? -``mask`` `numpy.ndarray`_ `numpy.bool_`_ Mask +``mask`` `numpy.ndarray`_ `numpy.bool`_ Mask ``nord`` int Order of the bspline fit ``npoly`` int Order of the bspline polynomial ``xmax`` float Normalization for input data diff --git a/doc/include/class_datamodel_datacube.rst b/doc/include/class_datamodel_datacube.rst index 1c775e34c0..2a2ac61bf3 100644 --- a/doc/include/class_datamodel_datacube.rst +++ b/doc/include/class_datamodel_datacube.rst @@ -1,14 +1,15 @@ -**Version**: 1.0.3 +**Version**: 1.1.0 -============== ================ ================= ============================================================================= -Attribute Type Array Type Description -============== ================ ================= ============================================================================= -``PYP_SPEC`` str PypeIt: Spectrograph name -``blaze_spec`` `numpy.ndarray`_ `numpy.floating`_ The spectral blaze function -``blaze_wave`` `numpy.ndarray`_ `numpy.floating`_ Wavelength array of the spectral blaze function -``flux`` `numpy.ndarray`_ `numpy.floating`_ Flux array in units of counts/s/Ang/arcsec^2or 10^-17 erg/s/cm^2/Ang/arcsec^2 -``fluxed`` bool Boolean indicating if the datacube is fluxed. -``sensfunc`` `numpy.ndarray`_ `numpy.floating`_ Sensitivity function 10^-17 erg/(counts/cm^2) -``variance`` `numpy.ndarray`_ `numpy.floating`_ Variance array (matches units of flux) -============== ================ ================= ============================================================================= +============== ================ ================= ================================================================================ +Attribute Type Array Type Description +============== ================ ================= ================================================================================ +``PYP_SPEC`` str PypeIt: Spectrograph name +``blaze_spec`` `numpy.ndarray`_ `numpy.floating`_ The spectral blaze function +``blaze_wave`` `numpy.ndarray`_ `numpy.floating`_ Wavelength array of the spectral blaze function +``bpm`` `numpy.ndarray`_ `numpy.uint8`_ Bad pixel mask of the datacube (0=good, 1=bad) +``flux`` `numpy.ndarray`_ `numpy.floating`_ Flux datacube in units of counts/s/Ang/arcsec^2or 10^-17 erg/s/cm^2/Ang/arcsec^2 +``fluxed`` bool Boolean indicating if the datacube is fluxed. +``sensfunc`` `numpy.ndarray`_ `numpy.floating`_ Sensitivity function 10^-17 erg/(counts/cm^2) +``sig`` `numpy.ndarray`_ `numpy.floating`_ Error datacube (matches units of flux) +============== ================ ================= ================================================================================ diff --git a/doc/include/class_datamodel_edgetraceset.rst b/doc/include/class_datamodel_edgetraceset.rst index bc400b71f2..e1b30b8125 100644 --- a/doc/include/class_datamodel_edgetraceset.rst +++ b/doc/include/class_datamodel_edgetraceset.rst @@ -20,7 +20,7 @@ Attribute Type Array Type ``pcatype`` str String identifier for the measurements used to construct the PCA (center or fit) ``right_pca`` :class:`~pypeit.tracepca.TracePCA` The PCA decomposition of the right-edge traces. Not defined if PCA performed on all traces, regardless of edge side (i.e., the left_right_pca parameter is False). See :class:`~pypeit.tracepca.TracePCA`. ``sobelsig`` `numpy.ndarray`_ float, `numpy.floating`_ Sobel-filtered image used to detect edges -``tracebpm`` `numpy.ndarray`_ bool, `numpy.bool_`_ Bad-pixel mask for trace image +``tracebpm`` `numpy.ndarray`_ bool, `numpy.bool`_ Bad-pixel mask for trace image ``traceid`` `numpy.ndarray`_ int, `numpy.integer`_ ID number for the edge traces. Negative and positive IDs are for, respectively, left and right edges. ``traceimg`` :class:`~pypeit.images.buildimage.TraceImage` Image used to construct the edge traces; see :class:`~pypeit.images.buildimage.TraceImage` and :class:`~pypeit.images.pypeitimage.PypeItImage`. ============== ============================================= ======================== ============================================================================================================================================================================================================ diff --git a/doc/include/class_datamodel_manualextractionobj.rst b/doc/include/class_datamodel_manualextractionobj.rst index 32d08715bd..9ebb051a2c 100644 --- a/doc/include/class_datamodel_manualextractionobj.rst +++ b/doc/include/class_datamodel_manualextractionobj.rst @@ -8,7 +8,7 @@ Attribute Type Array Type Description ``detname`` `numpy.ndarray`_ str detectors name for hand extraction. ``frame`` str The name of the fits file for a manual extraction ``fwhm`` `numpy.ndarray`_ `numpy.floating`_ FWHMs for hand extractions -``neg`` `numpy.ndarray`_ `numpy.bool_`_ Flags indicating which hand extract is a negative trace +``neg`` `numpy.ndarray`_ `numpy.bool`_ Flags indicating which hand extract is a negative trace ``spat`` `numpy.ndarray`_ `numpy.floating`_ spatial positions to hand extract ``spec`` `numpy.ndarray`_ `numpy.floating`_ spectral positions to hand extract ============== ================ ================= ======================================================= diff --git a/doc/include/class_datamodel_specobj.rst b/doc/include/class_datamodel_specobj.rst index b050688719..c44849c9f0 100644 --- a/doc/include/class_datamodel_specobj.rst +++ b/doc/include/class_datamodel_specobj.rst @@ -15,7 +15,7 @@ Attribute Type ``BOX_FLAM_IVAR`` `numpy.ndarray`_ float Boxcar flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 ``BOX_FLAM_SIG`` `numpy.ndarray`_ float Boxcar flux uncertainty (1e-17 erg/s/cm^2/Ang) ``BOX_FRAC_USE`` `numpy.ndarray`_ float Fraction of pixels in the object profile subimage used for this extraction -``BOX_MASK`` `numpy.ndarray`_ `numpy.bool_`_ Mask for boxcar extracted flux. True=good +``BOX_MASK`` `numpy.ndarray`_ `numpy.bool`_ Mask for boxcar extracted flux. True=good ``BOX_NPIX`` `numpy.ndarray`_ float Number of pixels used for the boxcar extraction; can be fractional ``BOX_RADIUS`` float Size of boxcar radius (pixels) ``BOX_WAVE`` `numpy.ndarray`_ float Boxcar Wavelengths in vacuum (Angstroms) @@ -51,7 +51,7 @@ Attribute Type ``OPT_FLAM_IVAR`` `numpy.ndarray`_ float Optimal flux inverse variance (1e-17 erg/s/cm^2/Ang)^-2 ``OPT_FLAM_SIG`` `numpy.ndarray`_ float Optimal flux uncertainty (1e-17 erg/s/cm^2/Ang) ``OPT_FRAC_USE`` `numpy.ndarray`_ float Fraction of pixels in the object profile subimage used for this extraction -``OPT_MASK`` `numpy.ndarray`_ `numpy.bool_`_ Mask for optimally extracted flux. True=good +``OPT_MASK`` `numpy.ndarray`_ `numpy.bool`_ Mask for optimally extracted flux. True=good ``OPT_WAVE`` `numpy.ndarray`_ float Optimal Wavelengths in vacuum (Angstroms) ``PYPELINE`` str Name of the PypeIt pipeline mode ``RA`` float Right Ascension (J2000) decimal degree diff --git a/doc/include/dependencies_table.rst b/doc/include/dependencies_table.rst index a154ba6ace..87ad21faf0 100644 --- a/doc/include/dependencies_table.rst +++ b/doc/include/dependencies_table.rst @@ -1,5 +1,5 @@ ======================= ====================================================================================================================================================================================================================================================================================== Python Version ``>=3.9,<3.12`` Required for users ``IPython>=7.10.0``, ``PyYAML>=5.1``, ``astropy>=4.3``, ``bottleneck``, ``configobj>=5.0.6``, ``extension-helpers>=0.1``, ``ginga>=3.2``, ``linetools``, ``matplotlib>=3.3``, ``numpy>=1.21``, ``packaging>=0.19``, ``pygithub``, ``qtpy>=1.9``, ``scikit-learn>=1.0``, ``scipy>=1.7`` -Required for developers ``codecov``, ``coverage``, ``docutils<0.18``, ``pytest-astropy``, ``pytest-cov``, ``pytest>=6.0.0``, ``sphinx-automodapi``, ``sphinx<6,>=1.6``, ``sphinx_rtd_theme==1.1.1``, ``tox`` +Required for developers ``coverage``, ``docutils<0.18``, ``pytest-astropy``, ``pytest-cov``, ``pytest>=6.0.0``, ``sphinx-automodapi``, ``sphinx<6,>=1.6``, ``sphinx_rtd_theme==1.1.1``, ``tox`` ======================= ====================================================================================================================================================================================================================================================================================== diff --git a/doc/include/inst_detector_table.rst b/doc/include/inst_detector_table.rst index 4c31f40c89..5f18ef4af5 100644 --- a/doc/include/inst_detector_table.rst +++ b/doc/include/inst_detector_table.rst @@ -17,10 +17,10 @@ Instrument Det specaxis specflip spatflip namp gain ... 2 1 False False 4 1.83, 1.83, 1.83, 1.83 3.98, 3.98, 3.98, 3.98 0.0 -1.0e+10 123000.0 0.9500 0.0800 ... 3 1 False False 4 1.83, 1.83, 1.83, 1.83 3.98, 3.98, 3.98, 3.98 0.0 -1.0e+10 125000.0 0.9500 0.0800 ``gemini_gnirs`` 1 0 True True 1 13.5 7.0 0.15 -1.0e+10 150000.0 0.7100 0.1500 -``gtc_maat`` 1 1 True False 1 1.9 4.3 0.0 0.0e+00 65535.0 0.9500 0.1250 +``gtc_maat`` 1 1 True False 1 1.9 4.3 5.0 0.0e+00 65535.0 0.9500 0.1250 ``gtc_osiris`` 1 0 False False 1 0.95 4.5 0.0 0.0e+00 65535.0 0.9500 0.1270 ... 2 0 False False 1 0.95 4.5 0.0 0.0e+00 65535.0 0.9500 0.1270 -``gtc_osiris_plus`` 1 1 True False 1 1.9 4.3 0.0 0.0e+00 65535.0 0.9500 0.1250 +``gtc_osiris_plus`` 1 1 True False 1 1.9 4.3 5.0 0.0e+00 65535.0 0.9500 0.1250 ``jwst_nircam`` 1 1 False False 1 1.84 8.55 0.0335 -1.0e+10 59200.0 0.9500 0.0630 ... 2 1 False False 1 1.8 8.57 0.035 -1.0e+10 58500.0 0.9500 0.0630 ``jwst_nirspec`` 1 1 False False 1 0.996 5.17 0.0092 -1.0e+10 55100.0 0.9500 0.1000 diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 4ff5f7db62..e01401f356 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -17,10 +17,10 @@ data read path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id - s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 - s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 - s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 2 | 3 | -1 - s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 2 | 4 | -1 + s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 0 | 1 | 2 + s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 0 | 2 | 1 + s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 1 | 3 | -1 + s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 1 | 4 | -1 s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 diff --git a/doc/include/keck_nires_A_corrected.pypeit.rst b/doc/include/keck_nires_A_corrected.pypeit.rst index 875d3fe917..093b741d34 100644 --- a/doc/include/keck_nires_A_corrected.pypeit.rst +++ b/doc/include/keck_nires_A_corrected.pypeit.rst @@ -21,10 +21,10 @@ data read path /Users/dpelliccia/Pypeit/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id - s190519_0059.fits | standard | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 1 | 1 | 2 - s190519_0060.fits | standard | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 1 | 2 | 1 - s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 1 | 3 | 4 - s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 1 | 4 | 3 + s190519_0059.fits | standard | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 0 | 1 | 2 + s190519_0060.fits | standard | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 0 | 2 | 1 + s190519_0067.fits | arc,science,tilt | 222.661173514297 | 33.0367669564831 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4110204323 | 1.03169892034606 | 300.0 | MANUAL | None | 0.0 | 67 | 0 | 3 | 4 + s190519_0068.fits | arc,science,tilt | 222.660207102656 | 33.0382234687118 | J1450+3302 | spec | 0.55 slit | 1,1 | 58622.4152114045 | 1.03446078772601 | 300.0 | MANUAL | None | 0.0 | 68 | 0 | 4 | 3 s190519_0011.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0756482101 | 1.41291034446565 | 100.0 | none | None | 0.0 | 11 | all | -1 | -1 s190519_0013.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0783221684 | 1.41291034446565 | 100.0 | none | None | 0.0 | 13 | all | -1 | -1 s190519_0015.fits | lampoffflats | 58.0 | 45.0 | DOME PHLAT | spec | 0.55 slit | 1,1 | 58622.0809961267 | 1.41291034446565 | 100.0 | none | None | 0.0 | 15 | all | -1 | -1 diff --git a/doc/include/links.rst b/doc/include/links.rst index 277b804c2a..ef5b046d3f 100644 --- a/doc/include/links.rst +++ b/doc/include/links.rst @@ -17,10 +17,11 @@ .. numpy .. _numpy: https://numpy.org/ .. _numpy.ndarray: https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html +.. _numpy.uint8: https://numpy.org/doc/stable/reference/arrays.scalars.html .. _numpy.int32: https://numpy.org/doc/stable/reference/arrays.scalars.html .. _numpy.integer: https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.integer .. _numpy.floating: https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.floating -.. _numpy.bool_: https://numpy.org/doc/stable/reference/arrays.scalars.html#numpy.bool_ +.. _numpy.bool: https://numpy.org/doc/stable/reference/arrays.scalars.html .. _numpy.ma.MaskedArray: http://docs.scipy.org/doc/numpy/reference/maskedarray.baseclass.html .. _numpy.ma.median: https://numpy.org/doc/stable/reference/generated/numpy.ma.median.html .. _numpy.recarray: https://docs.scipy.org/doc/numpy/reference/generated/numpy.recarray.html diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 804b70bcce..37e9db9a78 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -271,14 +271,14 @@ AlignPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.AlignPar` -=============== ============= ======= ============= ============================================================================================================================================================================================================================================================================= -Key Type Options Default Description -=============== ============= ======= ============= ============================================================================================================================================================================================================================================================================= -``locations`` list, ndarray .. 0.0, 0.5, 1.0 Locations of the bars, in a list, specified as a fraction of the slit width -``snr_thresh`` int, float .. 1.0 S/N ratio threshold for finding an alignment trace. This should be a lownumber to ensure that the algorithm finds all bars. The algorithm willthen only use the N most significant detections, where N is the numberof elements specified in the "locations" keyword argument -``trace_npoly`` int .. 4 Order of the polynomial to use when fitting the trace of a single bar -``trim_edge`` list .. 0, 0 Trim the slit by this number of pixels left/right before finding alignment bars -=============== ============= ======= ============= ============================================================================================================================================================================================================================================================================= +=============== ============= ======= ============= ================================================================================================================================================================================================================================================================================ +Key Type Options Default Description +=============== ============= ======= ============= ================================================================================================================================================================================================================================================================================ +``locations`` list, ndarray .. 0.0, 0.5, 1.0 Locations of the bars, in a list, specified as a fraction of the slit width +``snr_thresh`` int, float .. 1.0 S/N ratio threshold for finding an alignment trace. This should be a low number to ensure that the algorithm finds all bars. The algorithm will then only use the N most significant detections, where N is the number of elements specified in the "locations" keyword argument +``trace_npoly`` int .. 4 Order of the polynomial to use when fitting the trace of a single bar +``trim_edge`` list .. 0, 0 Trim the slit by this number of pixels left/right before finding alignment bars +=============== ============= ======= ============= ================================================================================================================================================================================================================================================================================ ---- @@ -383,7 +383,7 @@ Key Type Options ``pca_var_percent`` int, float .. 99.8 The percentage (i.e., not the fraction) of the variance in the edge data accounted for by the PCA used to truncate the number of PCA coefficients to keep (see `pca_n`). Ignored if `pca_n` is provided directly. ``rm_slits`` str, list .. .. Remove one or more user-specified slits. The syntax used to define a slit to remove is: 'det:spec:spat' where det=detector, spec=spectral pixel, spat=spatial pixel. For example, '2:2000:2121,3:2000:1500' will remove the slit on detector 2 that contains pixel (spat,spec)=(2000,2121) and on detector 3 that contains pixel (2000,2121). ``smash_range`` list .. 0.0, 1.0 Range of the slit in the spectral direction (in fractional units) to smash when searching for slit edges. If the spectrum covers only a portion of the image, use that range. -``sobel_enhance`` int .. 0 Enhance the sobel filtering? A value of 0 will not enhance the sobel filtering.Any other value > 0 will sum the sobel values. For example, a value of 3 willcombine the sobel values for the 3 nearest pixels. This is useful when a slitedge is poorly defined (e.g. vignetted). +``sobel_enhance`` int .. 0 Enhance the sobel filtering? A value of 0 will not enhance the sobel filtering. Any other value > 0 will sum the sobel values. For example, a value of 3 will combine the sobel values for the 3 nearest pixels. This is useful when a slit edge is poorly defined (e.g. vignetted). ``sobel_mode`` str ``nearest``, ``constant`` ``nearest`` Mode for Sobel filtering. Default is 'nearest'; note we find'constant' works best for DEIMOS. ``sync_center`` str ``median``, ``nearest``, ``gap`` ``median`` Mode to use for determining the location of traces to insert. Use `median` to use the median of the matched left and right edge pairs, `nearest` to use the length of the nearest slit, or `gap` to offset by a fixed gap width from the next slit edge. ``sync_predict`` str ``pca``, ``nearest``, ``auto`` ``pca`` Mode to use when predicting the form of the trace to insert. Use `pca` to use the PCA decomposition, `nearest` to reproduce the shape of the nearest trace, or `auto` to let PypeIt decide which mode to use between `pca` and `nearest`. In general, it will first try `pca`, and if that is not possible, it will use `nearest`. @@ -403,24 +403,24 @@ WaveTiltsPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.WaveTiltsPar` -=================== ========================= ======= ============== ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= -Key Type Options Default Description -=================== ========================= ======= ============== ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= -``cont_rej`` int, float, list, ndarray .. 3, 1.5 The sigma threshold for rejection. Can be a single number or two numbers that give the low and high sigma rejection, respectively. -``func2d`` str .. ``legendre2d`` Type of function for 2D fit -``idsonly`` bool .. False Only use the arc lines that have an identified wavelength to trace tilts (CURRENTLY NOT USED!) -``maxdev2d`` int, float .. 0.25 Maximum absolute deviation (in units of fwhm) rejection threshold used to determines which pixels in global 2d fits to arc line tilts are rejected because they deviate from the model by more than this value -``maxdev_tracefit`` int, float .. 0.2 Maximum absolute deviation (in units of fwhm) for the legendre polynomial fits to individual arc line tilt fits during iterative trace fitting (flux weighted, then gaussian weighted) -``minmax_extrap`` list, ndarray .. 150.0, 1000.0 Sets how far below the last measured tilt line is extrapolated in tracewave.fit_tilts() -``nfwhm_neigh`` int, float .. 3.0 Required separation between neighboring arc lines for them to be considered for tilt tracing in units of the the spectral fwhm (see wavelength parset where fwhm is defined) -``rm_continuum`` bool .. False Before tracing the line center at each spatial position, remove any low-order continuum in the 2D spectra. -``sig_neigh`` int, float .. 10.0 Significance threshold for arcs to be used in line identification for the purpose of identifying neighboring lines.The tracethresh parameter above determines the significance threshold of lines that will be traced, but these lines must be at least nfwhm_neigh fwhm away from neighboring lines. This parameter determines the significance above which a line must be to be considered a possible colliding neighbor. A low value of sig_neigh will result in an overall larger number of lines, which will result in more lines above tracethresh getting rejected -``sigrej2d`` int, float .. 3.0 Outlier rejection significance determining which pixels on a fit to an arc line tilt are rejected by the global 2D fit -``sigrej_trace`` int, float .. 3.0 Outlier rejection significance to determine which traced arc lines should be included in the global fit -``spat_order`` int, float, list, ndarray .. 3 Order of the legendre polynomial to be fit to the the tilt of an arc line. This parameter determinesboth the orer of the *individual* arc line tilts, as well as the order of the spatial direction of the2d legendre polynomial (spatial, spectral) that is fit to obtain a global solution for the tilts across theslit/order. This can be a single number or a list/array providing the value for each slit -``spec_order`` int, float, list, ndarray .. 4 Order of the spectral direction of the 2d legendre polynomial (spatial, spectral) that is fit to obtain a global solution for the tilts across the slit/order. This can be a single number or a list/array providing the value for each slit -``tracethresh`` int, float, list, ndarray .. 20.0 Significance threshold for arcs to be used in tracing wavelength tilts. This can be a single number or a list/array providing the value for each slit/order. -=================== ========================= ======= ============== ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= +=================== ========================= ======= ============== ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= +Key Type Options Default Description +=================== ========================= ======= ============== ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= +``cont_rej`` int, float, list, ndarray .. 3, 1.5 The sigma threshold for rejection. Can be a single number or two numbers that give the low and high sigma rejection, respectively. +``func2d`` str .. ``legendre2d`` Type of function for 2D fit +``idsonly`` bool .. False Only use the arc lines that have an identified wavelength to trace tilts (CURRENTLY NOT USED!) +``maxdev2d`` int, float .. 0.25 Maximum absolute deviation (in units of fwhm) rejection threshold used to determines which pixels in global 2d fits to arc line tilts are rejected because they deviate from the model by more than this value +``maxdev_tracefit`` int, float .. 0.2 Maximum absolute deviation (in units of fwhm) for the legendre polynomial fits to individual arc line tilt fits during iterative trace fitting (flux weighted, then gaussian weighted) +``minmax_extrap`` list, ndarray .. 150.0, 1000.0 Sets how far below the last measured tilt line is extrapolated in tracewave.fit_tilts() +``nfwhm_neigh`` int, float .. 3.0 Required separation between neighboring arc lines for them to be considered for tilt tracing in units of the the spectral fwhm (see wavelength parset where fwhm is defined) +``rm_continuum`` bool .. False Before tracing the line center at each spatial position, remove any low-order continuum in the 2D spectra. +``sig_neigh`` int, float .. 10.0 Significance threshold for arcs to be used in line identification for the purpose of identifying neighboring lines. The tracethresh parameter above determines the significance threshold of lines that will be traced, but these lines must be at least nfwhm_neigh fwhm away from neighboring lines. This parameter determines the significance above which a line must be to be considered a possible colliding neighbor. A low value of sig_neigh will result in an overall larger number of lines, which will result in more lines above tracethresh getting rejected +``sigrej2d`` int, float .. 3.0 Outlier rejection significance determining which pixels on a fit to an arc line tilt are rejected by the global 2D fit +``sigrej_trace`` int, float .. 3.0 Outlier rejection significance to determine which traced arc lines should be included in the global fit +``spat_order`` int, float, list, ndarray .. 3 Order of the legendre polynomial to be fit to the the tilt of an arc line. This parameter determines both the orer of the *individual* arc line tilts, as well as the order of the spatial direction of the 2d legendre polynomial (spatial, spectral) that is fit to obtain a global solution for the tilts across the slit/order. This can be a single number or a list/array providing the value for each slit +``spec_order`` int, float, list, ndarray .. 4 Order of the spectral direction of the 2d legendre polynomial (spatial, spectral) that is fit to obtain a global solution for the tilts across the slit/order. This can be a single number or a list/array providing the value for each slit +``tracethresh`` int, float, list, ndarray .. 20.0 Significance threshold for arcs to be used in tracing wavelength tilts. This can be a single number or a list/array providing the value for each slit/order. +=================== ========================= ======= ============== ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= ---- @@ -446,7 +446,7 @@ Key Type Options ``echelle`` bool .. False Is this an echelle spectrograph? If yes an additional 2-d fit wavelength fit will be performed as a function of spectral pixel and order number to improve the wavelength solution ``func`` str .. ``legendre`` Function used for wavelength solution fits ``fwhm`` int, float .. 4.0 Spectral sampling of the arc lines. This is the FWHM of an arcline in binned pixels of the input arc image -``fwhm_fromlines`` bool .. False Estimate spectral resolution in each slit using the arc lines. If True, the estimated FWHM will override ``fwhm`` only in the determination of the wavelength solution (i.e. not in WaveTilts). +``fwhm_fromlines`` bool .. False Estimate spectral resolution in each slit using the arc lines. If True, the estimated FWHM will override ``fwhm`` only in the determination of the wavelength solution (`i.e.`, not in WaveTilts). ``lamps`` list .. .. Name of one or more ions used for the wavelength calibration. Use ``None`` for no calibration. Choose ``use_header`` to use the list of lamps recorded in the header of the arc frames (this is currently available only for Keck DEIMOS and LDT DeVeny). ``match_toler`` float .. 2.0 Matching tolerance in pixels when searching for new lines. This is the difference in pixels between the wavlength assigned to an arc line by an iteration of the wavelength solution to the wavelength in the line list. This parameter is also used as the matching tolerance in pixels for a line reidentification. A good line match must match within this tolerance to the shifted and stretched archive spectrum, and the archive wavelength solution at this match must be within match_toler dispersion elements from the line in line list. ``method`` str ``holy-grail``, ``identify``, ``reidentify``, ``echelle``, ``full_template`` ``holy-grail`` Method to use to fit the individual arc lines. Note that some of the available methods should not be used; they are unstable and require significant parameter tweaking to succeed. You should use one of 'holy-grail', 'reidentify', or 'full_template'. 'holy-grail' attempts to get a first guess at line IDs by looking for patterns in the line locations. It is fully automated. When it works, it works well; however, it can fail catastrophically. Instead, 'reidentify' and 'full_template' are the preferred methods. They require an archived wavelength solution for your specific instrument/grating combination as a reference. This is used to anchor the wavelength solution for the data being reduced. All options are: holy-grail, identify, reidentify, echelle, full_template. @@ -478,37 +478,38 @@ Coadd1DPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.Coadd1DPar` -==================== ========== ======= ========== ============================================================================================================================================================================================================================================================================================================================================================================================================================= -Key Type Options Default Description -==================== ========== ======= ========== ============================================================================================================================================================================================================================================================================================================================================================================================================================= -``coaddfile`` str .. .. Output filename -``dv`` int, float .. .. Dispersion in units of km/s in case you want to specify it in the get_wave_grid (for the 'velocity' option),otherwise a median value is computed from the data. -``ex_value`` str .. ``OPT`` The extraction to coadd, i.e. optimal or boxcar. Must be either 'OPT' or 'BOX' -``filter`` str .. ``none`` Filter for scaling. See flux_calib.load_fitler_file() for naming. Ignore if none -``filter_mag`` float .. .. Magnitude of the source in the given filter -``filter_mask`` str, list .. .. List of wavelength regions to mask when doing the scaling (ie. occasional junk pixels).Colon and comma separateed, e.g. 5552:5559,6010:6030 -``flux_value`` bool .. True If True (default), the code will coadd the fluxed spectra (i.e. the FLAM) in the spec1d files. If False, it will coadd the counts. -``lower`` int, float .. 3.0 Lower rejection threshold used for rejecting pixels when combining spectra in units of sigma. -``mag_type`` str .. ``AB`` Magnitude type. AB is the only option currently allowed -``maxiter_reject`` int .. 5 maximum number of iterations for stacking and rejection. The code stops iterating either when the output mask does not change betweeen successive iterations or when maxiter_reject is reached. -``maxiter_scale`` int .. 5 Maximum number of iterations performed for rescaling spectra. -``maxrej`` int .. .. Coadding performs iterative rejection by comparing each exposure to a preliminary stack of all the exposures. If this parameter is set then it will not reject more than maxrej pixels per iteration of this rejection. The default is None, which means no maximum on rejected pixels. -``nbest`` int .. .. Number of orders to use for estimating the per exposure weights. Default is None, which will just use one fourth of the total number of orders. This is only used for Echelle -``nmaskedge`` int .. 2 Number of edge pixels to mask. This should be removed/fixed. -``ref_percentile`` int, float .. 70.0 Percentile used for selecting the minimum SNR cut from a reference spectrum used to robustly determine the median ratio between spectra. This parameter is used by coadd1d.robust_median_ratio as part of the automatic rescaling procedure. Pixels above this percentile cut are deemed the "good" pixels and are used to compute the ratio of two spectra. This must be a number between 0 and 100. -``scale_method`` str .. ``auto`` Method used to rescale the spectra prior to coadding. The options are: 'auto' -- Determine the scaling method automatically based on the S/N ratio which works well'poly' -- Polynomial rescaling.'median' -- Median rescaling'none' -- Do not rescale.'hand' -- Pass in hand scaling factors. This option is not well tested. -``sensfuncfile`` str .. .. File containing sensitivity function which is a requirement for echelle coadds. This is only used for Echelle -``sigrej_scale`` int, float .. 3.0 Rejection threshold used for rejecting pixels when rescaling spectra with scale_spec. -``sn_clip`` int, float .. 30.0 Errors are capped during rejection so that the S/N is never greater than sn_clip. This prevents overly aggressive rejection in high S/N ratio spectrum which neverthless differ at a level greater than the formal S/N due to systematics. -``sn_min_medscale`` int, float .. 0.5 For scale method set to 'auto', this sets the minimum SNR for which median scaling is attempted -``sn_min_polyscale`` int, float .. 2.0 For scale method set to 'auto', this sets the minimum SNR for which polynomial scaling is attempted. -``sn_smooth_npix`` int, float .. .. Number of pixels to median filter by when computing S/N used to decide how to scale and weight spectra. If set to None (default), the code will determine the effective number of good pixels per spectrum in the stack that is being co-added and use 10% of this neff. -``spec_samp_fact`` float .. 1.0 Make the wavelength grid sampling finer (spec_samp_fact < 1.0) or coarser (spec_samp_fact > 1.0) by this sampling factor. This basically multiples the 'native' spectral pixels by spec_samp_fact, i.e. units spec_samp_fact are pixels. -``upper`` int, float .. 3.0 Upper rejection threshold used for rejecting pixels when combining spectra in units of sigma. -``wave_grid_max`` int, float .. .. Used in case you want to specify the maximum wavelength in your wavelength grid, default=None computes from data -``wave_grid_min`` int, float .. .. Used in case you want to specify the minimum wavelength in your wavelength grid, default=None computes from data -``wave_method`` str .. ``linear`` Method used to construct wavelength grid for coadding spectra. The routine that creates the wavelength is :func:`~pypeit.core.wavecal.wvutils.get_wave_grid`. The options are: 'iref' -- Use the first wavelength array'velocity' -- Grid is uniform in velocity'log10' -- Grid is uniform in log10(wave).This is the same as velocity.'linear' -- Grid is uniform in lamba.'concatenate' -- Meld the input wavelength arrays -==================== ========== ======= ========== ============================================================================================================================================================================================================================================================================================================================================================================================================================= +==================== ========== ======= ========== ========================================================================================================================================================================================================================================================================================================================================================================================================================================= +Key Type Options Default Description +==================== ========== ======= ========== ========================================================================================================================================================================================================================================================================================================================================================================================================================================= +``chk_version`` bool .. True If True enforce strict PypeIt version checking to ensure that spec1d*.fits files were createdwith the current version of PypeIt +``coaddfile`` str .. .. Output filename +``dv`` int, float .. .. Dispersion in units of km/s in case you want to specify it in the get_wave_grid (for the 'velocity' option), otherwise a median value is computed from the data. +``ex_value`` str .. ``OPT`` The extraction to coadd, i.e. optimal or boxcar. Must be either 'OPT' or 'BOX' +``filter`` str .. ``none`` Filter for scaling. See flux_calib.load_fitler_file() for naming. Ignore if none +``filter_mag`` float .. .. Magnitude of the source in the given filter +``filter_mask`` str, list .. .. List of wavelength regions to mask when doing the scaling (`i.e.`, occasional junk pixels). Colon and comma separateed, e.g. 5552:5559,6010:6030 +``flux_value`` bool .. True If True (default), the code will coadd the fluxed spectra (i.e. the FLAM) in the spec1d files. If False, it will coadd the counts. +``lower`` int, float .. 3.0 Lower rejection threshold used for rejecting pixels when combining spectra in units of sigma. +``mag_type`` str .. ``AB`` Magnitude type. AB is the only option currently allowed +``maxiter_reject`` int .. 5 Maximum number of iterations for stacking and rejection. The code stops iterating either when the output mask does not change betweeen successive iterations or when maxiter_reject is reached. +``maxiter_scale`` int .. 5 Maximum number of iterations performed for rescaling spectra. +``maxrej`` int .. .. Coadding performs iterative rejection by comparing each exposure to a preliminary stack of all the exposures. If this parameter is set then it will not reject more than maxrej pixels per iteration of this rejection. The default is None, which means no maximum on rejected pixels. +``nbest`` int .. .. Number of orders to use for estimating the per exposure weights. Default is None, which will just use one fourth of the total number of orders. This is only used for Echelle. +``nmaskedge`` int .. 2 Number of edge pixels to mask. This should be removed/fixed. +``ref_percentile`` int, float .. 70.0 Percentile used for selecting the minimum SNR cut from a reference spectrum used to robustly determine the median ratio between spectra. This parameter is used by coadd1d.robust_median_ratio as part of the automatic rescaling procedure. Pixels above this percentile cut are deemed the "good" pixels and are used to compute the ratio of two spectra. This must be a number between 0 and 100. +``scale_method`` str .. ``auto`` Method used to rescale the spectra prior to coadding. The options are: 'auto' -- Determine the scaling method automatically based on the S/N ratio which works well. 'poly' -- Polynomial rescaling. 'median' -- Median rescaling 'none' -- Do not rescale. 'hand' -- Pass in hand scaling factors. This option is not well tested. +``sensfuncfile`` str .. .. File containing sensitivity function which is a requirement for echelle coadds. This is only used for Echelle. +``sigrej_scale`` int, float .. 3.0 Rejection threshold used for rejecting pixels when rescaling spectra with scale_spec. +``sn_clip`` int, float .. 30.0 Errors are capped during rejection so that the S/N is never greater than sn_clip. This prevents overly aggressive rejection in high S/N ratio spectrum which neverthless differ at a level greater than the formal S/N due to systematics. +``sn_min_medscale`` int, float .. 0.5 For scale method set to ``auto``, this sets the minimum SNR for which median scaling is attempted. +``sn_min_polyscale`` int, float .. 2.0 For scale method set to ``auto``, this sets the minimum SNR for which polynomial scaling is attempted. +``sn_smooth_npix`` int, float .. .. Number of pixels to median filter by when computing S/N used to decide how to scale and weight spectra. If set to None (default), the code will determine the effective number of good pixels per spectrum in the stack that is being co-added and use 10% of this neff. +``spec_samp_fact`` float .. 1.0 Make the wavelength grid sampling finer (spec_samp_fact < 1.0) or coarser (spec_samp_fact > 1.0) by this sampling factor. This basically multiples the 'native' spectral pixels by spec_samp_fact, i.e. units spec_samp_fact are pixels. +``upper`` int, float .. 3.0 Upper rejection threshold used for rejecting pixels when combining spectra in units of sigma. +``wave_grid_max`` int, float .. .. Used in case you want to specify the maximum wavelength in your wavelength grid, default=None computes from data +``wave_grid_min`` int, float .. .. Used in case you want to specify the minimum wavelength in your wavelength grid, default=None computes from data +``wave_method`` str .. ``linear`` Method used to construct wavelength grid for coadding spectra. The routine that creates the wavelength is :func:`~pypeit.core.wavecal.wvutils.get_wave_grid`. The options are: 'iref' -- Use the first wavelength array. 'velocity' -- Grid is uniform in velocity. 'log10' -- Grid is uniform in log10(wave). This is the same as velocity. 'linear' -- Grid is uniform in lambda. 'concatenate' -- Meld the input wavelength arrays +==================== ========== ======= ========== ========================================================================================================================================================================================================================================================================================================================================================================================================================================= ---- @@ -524,8 +525,8 @@ Class Instantiation: :class:`~pypeit.par.pypeitpar.Coadd2DPar` Key Type Options Default Description ==================== ========= ======= ======== ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== ``manual`` str .. .. Manual extraction parameters. det:spat:spec:fwhm:boxcar_radius. Multiple manual extractions are semi-colon separated, and spat,spec are in the pseudo-image generated by COADD2D.boxcar_radius is optional and in pixels (not arcsec!). -``offsets`` list, str .. ``auto`` Offsets for the images being combined (spat pixels). Options are: ``maskdef_offsets``, ``auto``, and a list of offsets.Use ``maskdef_offsets`` to use the offsets computed during the slitmask design matching (currently available for DEIMOS and MOSFIRE only). If ``auto`` is chosen, PypeIt will try to compute the offsets using a reference object with the highest S/N, or an object selected by the user (see ``user_obj``). If a list of offsets is provided, PypeIt will use it. -``only_slits`` int, list .. .. Slit ID, or list of slit IDs that the user want to restrict the coadd to.I.e., only this/these slit/s will be coadded. +``offsets`` list, str .. ``auto`` Offsets for the images being combined (spat pixels). Options are: ``maskdef_offsets``, ``auto``, and a list of offsets. Use ``maskdef_offsets`` to use the offsets computed during the slitmask design matching (currently available for DEIMOS and MOSFIRE only). If ``auto`` is chosen, PypeIt will try to compute the offsets using a reference object with the highest S/N, or an object selected by the user (see ``user_obj``). If a list of offsets is provided, PypeIt will use it. +``only_slits`` int, list .. .. Slit ID, or list of slit IDs that the user want to restrict the coadd to. I.e., only this/these slit/s will be coadded. ``spat_toler`` int .. 5 This parameter provides the desired tolerance in spatial pixel used to identify slits in different exposures ``use_slits4wvgrid`` bool .. False If True, use the slits to set the trace down the center ``user_obj`` int, list .. .. Object that the user wants to use to compute the weights and/or the offsets for coadding images. For slit spectroscopy, provide the ``SLITID`` and the ``OBJID``, separated by comma, of the selected object. For echelle spectroscopy, provide the ``ECH_OBJID`` of the selected object. See :doc:`out_spec1D` for more info about ``SLITID``, ``OBJID`` and ``ECH_OBJID``. If this parameter is not ``None``, it will be used to compute the offsets only if ``offsets = auto``, and it will used to compute the weights only if ``weights = auto``. @@ -542,21 +543,21 @@ Collate1DPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.Collate1DPar` -========================= ========== ======= ============================================ ============================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -========================= ========== ======= ============================================ ============================================================================================================================================================================================================================================================================================================================================================================================================== -``dry_run`` bool .. False If set, the script will display the matching File and Object Ids but will not flux, coadd or archive. -``exclude_serendip`` bool .. False Whether to exclude SERENDIP objects from collating. -``exclude_slit_trace_bm`` list, str .. [] A list of slit trace bitmask bits that should be excluded. -``flux`` bool .. False If set, the script will flux calibrate using archived sensfuncs before coadding. -``ignore_flux`` bool .. False If set, the script will only coadd non-fluxed spectra even if flux data is present. Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated. -``match_using`` str .. ``ra/dec`` Determines how 1D spectra are matched as being the same object. Must be either 'pixel' or 'ra/dec'. -``outdir`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` The path where all coadded output files and report files will be placed. -``refframe`` str .. .. Perform reference frame correction prior to coadding. Options are: observed, heliocentric, barycentric -``spec1d_outdir`` str .. .. The path where all modified spec1d files are placed. These are only created if flux calibration or refframe correction are asked for. -``tolerance`` str, float .. ``1.0`` The tolerance used when comparing the coordinates of objects. If two objects are within this distance from each other, they are considered the same object. If match_using is 'ra/dec' (the default) this is an angular distance. The defaults units are arcseconds but other units supported by astropy.coordinates.Angle can be used(e.g. '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float. -``wv_rms_thresh`` float .. .. If set, any objects with a wavelength RMS > this value are skipped, else all wavelength RMS values are accepted. -========================= ========== ======= ============================================ ============================================================================================================================================================================================================================================================================================================================================================================================================== +========================= ========== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +========================= ========== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================================================================== +``dry_run`` bool .. False If set, the script will display the matching File and Object Ids but will not flux, coadd or archive. +``exclude_serendip`` bool .. False Whether to exclude SERENDIP objects from collating. +``exclude_slit_trace_bm`` list, str .. [] A list of slit trace bitmask bits that should be excluded. +``flux`` bool .. False If set, the script will flux calibrate using archived sensfuncs before coadding. +``ignore_flux`` bool .. False If set, the script will only coadd non-fluxed spectra even if flux data is present. Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated. +``match_using`` str .. ``ra/dec`` Determines how 1D spectra are matched as being the same object. Must be either 'pixel' or 'ra/dec'. +``outdir`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` The path where all coadded output files and report files will be placed. +``refframe`` str .. .. Perform reference frame correction prior to coadding. Options are: observed, heliocentric, barycentric +``spec1d_outdir`` str .. .. The path where all modified spec1d files are placed. These are only created if flux calibration or refframe correction are asked for. +``tolerance`` str, float .. ``1.0`` The tolerance used when comparing the coordinates of objects. If two objects are within this distance from each other, they are considered the same object. If match_using is 'ra/dec' (the default) this is an angular distance. The defaults units are arcseconds but other units supported by astropy.coordinates.Angle can be used (`e.g.`, '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float. +``wv_rms_thresh`` float .. .. If set, any objects with a wavelength RMS > this value are skipped, else all wavelength RMS values are accepted. +========================= ========== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -607,21 +608,21 @@ ReduxPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.ReduxPar` -====================== ============== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================ -Key Type Options Default Description -====================== ============== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================ -``calwin`` int, float .. 0 The window of time in hours to search for calibration frames for a science frame -``detnum`` int, list .. .. Restrict reduction to a list of detector indices. In case of mosaic reduction (currently only available for Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of tuples of the detector indices that are mosaiced together. E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` -``ignore_bad_headers`` bool .. False Ignore bad headers (NOT recommended unless you know it is safe). -``maskIDs`` str, int, list .. .. Restrict reduction to a set of slitmask IDsExample syntax -- maskIDs = 818006,818015 This must be used with detnum (for now). -``qadir`` str .. ``QA`` Directory relative to calling directory to write quality assessment files. -``quicklook`` bool .. False Run a quick look reduction? This is usually good if you want to quickly reduce the data (usually at the telescope in real time) to get an initial estimate of the data quality. -``redux_path`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` Path to folder for performing reductions. Default is the current working directory. -``scidir`` str .. ``Science`` Directory relative to calling directory to write science files. -``slitspatnum`` str, list .. .. Restrict reduction to a set of slit DET:SPAT values (closest slit is used). Example syntax -- slitspatnum = DET01:175,DET01:205 or MSC02:2234 If you are re-running the code, (i.e. modifying one slit) you *must* have the precise SPAT_ID index. -``sortroot`` str .. .. A filename given to output the details of the sorted files. If None, the default is the root name of the pypeit file. If off, no output is produced. -``spectrograph`` str .. .. Spectrograph that provided the data to be reduced. See :ref:`instruments` for valid options. -====================== ============== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================ +====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== +``calwin`` int, float .. 0 The window of time in hours to search for calibration frames for a science frame +``detnum`` int, list .. .. Restrict reduction to a list of detector indices. In case of mosaic reduction (currently only available for Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of tuples of the detector indices that are mosaiced together. E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` +``ignore_bad_headers`` bool .. False Ignore bad headers (NOT recommended unless you know it is safe). +``maskIDs`` str, int, list .. .. Restrict reduction to a set of slitmask IDs Example syntax -- ``maskIDs = 818006,818015`` This must be used with detnum (for now). +``qadir`` str .. ``QA`` Directory relative to calling directory to write quality assessment files. +``quicklook`` bool .. False Run a quick look reduction? This is usually good if you want to quickly reduce the data (usually at the telescope in real time) to get an initial estimate of the data quality. +``redux_path`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` Path to folder for performing reductions. Default is the current working directory. +``scidir`` str .. ``Science`` Directory relative to calling directory to write science files. +``slitspatnum`` str, list .. .. Restrict reduction to a set of slit DET:SPAT values (closest slit is used). Example syntax -- slitspatnum = DET01:175,DET01:205 or MSC02:2234 If you are re-running the code, (i.e. modifying one slit) you *must* have the precise SPAT_ID index. +``sortroot`` str .. .. A filename given to output the details of the sorted files. If None, the default is the root name of the pypeit file. If off, no output is produced. +``spectrograph`` str .. .. Spectrograph that provided the data to be reduced. See :ref:`instruments` for valid options. +====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== ---- @@ -654,29 +655,32 @@ CubePar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.CubePar` -==================== ===== ======= ========= ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -==================== ===== ======= ========= ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -``astrometric`` bool .. True If true, an astrometric correction will be applied using the alignment frames. -``combine`` bool .. False If set to True, the input frames will be combined. Otherwise, a separate datacube will be generated for each input spec2d file, and will be saved as a spec3d file. -``dec_max`` float .. .. Maximum DEC to use when generating the WCS. If None, the default is maximum DEC based on the WCS of all spaxels. Units should be degrees. -``dec_min`` float .. .. Minimum DEC to use when generating the WCS. If None, the default is minimum DEC based on the WCS of all spaxels. Units should be degrees. -``grating_corr`` bool .. True This option performs a small correction for the relative blaze function of all input frames that have (even slightly) different grating angles, or if you are flux calibrating your science data with a standard star that was observed with a slightly different setup. -``output_filename`` str .. .. If combining multiple frames, this string sets the output filename of the combined datacube. If combine=False, the output filenames will be prefixed with "spec3d_*" -``ra_max`` float .. .. Maximum RA to use when generating the WCS. If None, the default is maximum RA based on the WCS of all spaxels. Units should be degrees. -``ra_min`` float .. .. Minimum RA to use when generating the WCS. If None, the default is minimum RA based on the WCS of all spaxels. Units should be degrees. -``reference_image`` str .. .. White light image of a previously combined datacube. The white light image will be used as a reference when calculating the offsets of the input spec2d files. Ideally, the reference image should have the same shape as the data to be combined (i.e. set the ra_min, ra_max etc. params so they are identical to the reference image). -``relative_weights`` bool .. False If set to True, the combined frames will use a relative weighting scheme. This only works well if there is a common continuum source in the field of view of all input observations, and is generally only required if high relative precision is desired. -``save_whitelight`` bool .. False Save a white light image of the combined datacube. The output filename will be given by the "output_filename" variable with a suffix "_whitelight". Note that the white light image collapses the flux along the wavelength axis, so some spaxels in the 2D white light image may have different wavelength ranges. If combine=False, the individual spec3d files will have a suffix "_whitelight". -``scale_corr`` str .. .. This option performs a small correction for the relative spectral illumination scale of different spec2D files. Specify the relative path+file to the spec2D file that you would like to use for the relative scaling. If you want to perform this correction, it is best to use the spec2d file with the highest S/N sky spectrum. You should choose the same frame for both the standards and science frames. -``skysub_frame`` str .. ``image`` Set the sky subtraction to be implemented. The default behaviour is to subtract the sky using the model that is derived from each individual image (i.e. set this parameter to "image"). To turn off sky subtraction completely, set this parameter to "none" (all lowercase). Finally, if you want to use a different frame for the sky subtraction, specify the relative path+file to the spec2D file that you would like to use for the sky subtraction. The model fit to the sky of the specified frame will be used. Note, the sky and science frames do not need to have the same exposure time. -``slit_spec`` bool .. True If the data use slits in one spatial direction, set this to True. If the data uses fibres for all spaxels, set this to False. -``spatial_delta`` float .. .. The spatial size of each spaxel to use when generating the WCS (in arcsec). If None, the default is set by the spectrograph file. -``standard_cube`` str .. .. Filename of a standard star datacube. This cube will be used to correct the relative scales of the slits, and to flux calibrate the science datacube. -``wave_delta`` float .. .. The wavelength step to use when generating the WCS (in Angstroms). If None, the default is set by the wavelength solution. -``wave_max`` float .. .. Maximum wavelength to use when generating the WCS. If None, the default is maximum wavelength based on the WCS of all spaxels. Units should be Angstroms. -``wave_min`` float .. .. Minimum wavelength to use when generating the WCS. If None, the default is minimum wavelength based on the WCS of all spaxels. Units should be Angstroms. -==================== ===== ======= ========= ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +==================== ===== ======= ============ =========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +==================== ===== ======= ============ =========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +``astrometric`` bool .. True If true, an astrometric correction will be applied using the alignment frames. +``combine`` bool .. False If set to True, the input frames will be combined. Otherwise, a separate datacube will be generated for each input spec2d file, and will be saved as a spec3d file. +``dec_max`` float .. .. Maximum DEC to use when generating the WCS. If None, the default is maximum DEC based on the WCS of all spaxels. Units should be degrees. +``dec_min`` float .. .. Minimum DEC to use when generating the WCS. If None, the default is minimum DEC based on the WCS of all spaxels. Units should be degrees. +``grating_corr`` bool .. True This option performs a small correction for the relative blaze function of all input frames that have (even slightly) different grating angles, or if you are flux calibrating your science data with a standard star that was observed with a slightly different setup. +``method`` str .. ``subpixel`` What method should be used to generate the datacube. There are currently two options: (1) "subpixel" (default) - this algorithm divides each pixel in the spec2d frames into subpixels, and assigns each subpixel to a voxel of the datacube. Flux is conserved, but voxels are correlated, and the error spectrum does not account for covariance between adjacent voxels. See also, spec_subpixel and spat_subpixel. (2) "NGP" (nearest grid point) - this algorithm is effectively a 3D histogram. Flux is conserved, voxels are not correlated, however this option suffers the same downsides as any histogram; the choice of bin sizes can change how the datacube appears. This algorithm takes each pixel on the spec2d frame and puts the flux of this pixel into one voxel in the datacube. Depending on the binning used, some voxels may be empty (zero flux) while a neighboring voxel might contain the flux from two spec2d pixels. Note that all spec2d pixels that contribute to the same voxel are inverse variance weighted (e.g. if two pixels have the same variance, the voxel would be assigned the average flux of the two pixels). +``output_filename`` str .. .. If combining multiple frames, this string sets the output filename of the combined datacube. If combine=False, the output filenames will be prefixed with "spec3d_*" +``ra_max`` float .. .. Maximum RA to use when generating the WCS. If None, the default is maximum RA based on the WCS of all spaxels. Units should be degrees. +``ra_min`` float .. .. Minimum RA to use when generating the WCS. If None, the default is minimum RA based on the WCS of all spaxels. Units should be degrees. +``reference_image`` str .. .. White light image of a previously combined datacube. The white light image will be used as a reference when calculating the offsets of the input spec2d files. Ideally, the reference image should have the same shape as the data to be combined (i.e. set the ra_min, ra_max etc. params so they are identical to the reference image). +``relative_weights`` bool .. False If set to True, the combined frames will use a relative weighting scheme. This only works well if there is a common continuum source in the field of view of all input observations, and is generally only required if high relative precision is desired. +``save_whitelight`` bool .. False Save a white light image of the combined datacube. The output filename will be given by the "output_filename" variable with a suffix "_whitelight". Note that the white light image collapses the flux along the wavelength axis, so some spaxels in the 2D white light image may have different wavelength ranges. If combine=False, the individual spec3d files will have a suffix "_whitelight". +``scale_corr`` str .. .. This option performs a small correction for the relative spectral illumination scale of different spec2D files. Specify the relative path+file to the spec2D file that you would like to use for the relative scaling. If you want to perform this correction, it is best to use the spec2d file with the highest S/N sky spectrum. You should choose the same frame for both the standards and science frames. +``skysub_frame`` str .. ``image`` Set the sky subtraction to be implemented. The default behaviour is to subtract the sky using the model that is derived from each individual image (i.e. set this parameter to "image"). To turn off sky subtraction completely, set this parameter to "none" (all lowercase). Finally, if you want to use a different frame for the sky subtraction, specify the relative path+file to the spec2D file that you would like to use for the sky subtraction. The model fit to the sky of the specified frame will be used. Note, the sky and science frames do not need to have the same exposure time. +``slit_spec`` bool .. True If the data use slits in one spatial direction, set this to True. If the data uses fibres for all spaxels, set this to False. +``spat_subpixel`` int .. 5 When method=subpixel, spat_subpixel sets the subpixellation scale of each detector pixel in the spatial direction. The total number of subpixels in each pixel is given by spec_subpixel x spat_subpixel. The default option is to divide each spec2d pixel into 25 subpixels during datacube creation. See also, spec_subpixel. +``spatial_delta`` float .. .. The spatial size of each spaxel to use when generating the WCS (in arcsec). If None, the default is set by the spectrograph file. +``spec_subpixel`` int .. 5 When method=subpixel, spec_subpixel sets the subpixellation scale of each detector pixel in the spectral direction. The total number of subpixels in each pixel is given by spec_subpixel x spat_subpixel. The default option is to divide each spec2d pixel into 25 subpixels during datacube creation. See also, spat_subpixel. +``standard_cube`` str .. .. Filename of a standard star datacube. This cube will be used to correct the relative scales of the slits, and to flux calibrate the science datacube. +``wave_delta`` float .. .. The wavelength step to use when generating the WCS (in Angstroms). If None, the default is set by the wavelength solution. +``wave_max`` float .. .. Maximum wavelength to use when generating the WCS. If None, the default is maximum wavelength based on the WCS of all spaxels. Units should be Angstroms. +``wave_min`` float .. .. Minimum wavelength to use when generating the WCS. If None, the default is minimum wavelength based on the WCS of all spaxels. Units should be Angstroms. +==================== ===== ======= ============ =========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -712,26 +716,27 @@ FindObjPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.FindObjPar` -=========================== ========== ======= ======= ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -=========================== ========== ======= ======= ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -``ech_find_max_snr`` int, float .. 1.0 Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than this value or satisfy the min_snr criteria described by the min_snr parameters. If maxnumber is set (see above) then these criteriawill be applied but only the maxnumber highest (median) S/N ratio objects will be kept. -``ech_find_min_snr`` int, float .. 0.3 Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than ech_find_max_snr, value or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. If maxnumber is set (see above) then these criteriawill be applied but only the maxnumber highest (median) S/N ratio objects will be kept. -``ech_find_nabove_min_snr`` int .. 2 Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than ech_find_max_snr, value or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. If maxnumber is set (see above) then these criteriawill be applied but only the maxnumber highest (median) S/N ratio objects will be kept. -``find_extrap_npoly`` int .. 3 Polynomial order used for trace extrapolation -``find_fwhm`` int, float .. 5.0 Indicates roughly the fwhm of objects in pixels for object finding -``find_maxdev`` int, float .. 2.0 Maximum deviation of pixels from polynomial fit to trace used to reject bad pixels in trace fitting. -``find_min_max`` list .. .. It defines the minimum and maximum of your object in the spectral direction on thedetector. It only used for object finding. This parameter is helpful if your object onlyhas emission lines or at high redshift and the trace only shows in part of the detector. -``find_negative`` bool .. .. Identify negative objects in object finding for spectra that are differenced. This is used to manually override the default behavior in PypeIt for object finding by setting this parameter to something other than NoneThe default behavior is that PypeIt will search for negative object traces if background frames are present in the PypeIt file that are classified as "science" (i.e. via pypeit_setup -b, and setting bkg_id in the PypeIt file). If background frames are presentthat are classified as "sky", then PypeIt will NOT search for negative object traces. If one wishesto explicitly override this default behavior, set this parameter to True to find negative objects or False to ignore them. -``find_trim_edge`` list .. 5, 5 Trim the slit by this number of pixels left/right before finding objects -``maxnumber_sci`` int .. 10 Maximum number of objects to extract in a science frame. Use None for no limit. This parameter can be useful in situations where systematics lead to spurious extra objects. Setting this parameter means they will be trimmed. For mulitslit maxnumber applies per slit, for echelle observations this applies per order. Note that objects on a slit/order impact the sky-modeling and so maxnumber should never be lower than the true number of detectable objects on your slit. For image differenced observations with positive and negative object traces, maxnumber appliesto the number of positive (or negative) traces individually. In other words, if you had two positive objects andone negative object, then you would set maxnumber to be equal to two (not three). Note that if manuallyextracted apertures are explicitly requested, they do not count against this maxnumber. If more than maxnumber objects are detected, then highest S/N ratio objects will be the ones that are kept. For multislit observations the choice here depends on the slit length. For echelle observations with short slits we set the default to be 1 -``maxnumber_std`` int .. 5 Maximum number of objects to extract in a standard star frame. Same functionality as maxnumber_sci documented above. For multislit observations the default here is 5, for echelleobservations the default is 1 -``skip_final_global`` bool .. False If True, do not update initial sky to get global sky using updated noise model. This should be True for quicklook to save time. This should also be True for near-IR reductions which perform difference imaging, since there we fit sky-residuals rather than the sky itself, so there is no noise model to update. -``skip_second_find`` bool .. False Only perform one round of object finding (mainly for quick_look) -``skip_skysub`` bool .. False If True, do not sky subtract when performing object finding. This should be set to True for example when running on data that is already sky-subtracted. Note that for near-IR difference imaging one still wants to remove sky-residuals via sky-subtraction, and so this is typically set to False -``snr_thresh`` int, float .. 10.0 S/N threshold for object finding in wavelength direction smashed image. -``trace_npoly`` int .. 5 Order of legendre polynomial fits to object traces. -=========================== ========== ======= ======= ========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +=========================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= +Key Type Options Default Description +=========================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= +``ech_find_max_snr`` int, float .. 1.0 Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than this value or satisfy the min_snr criteria described by the min_snr parameters. If maxnumber is set (see above) then these criteria will be applied but only the maxnumber highest (median) S/N ratio objects will be kept. +``ech_find_min_snr`` int, float .. 0.3 Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than ech_find_max_snr, value or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. If maxnumber is set (see above) then these criteria will be applied but only the maxnumber highest (median) S/N ratio objects will be kept. +``ech_find_nabove_min_snr`` int .. 2 Criteria for keeping echelle objects. They must either have a maximum S/N across all the orders greater than ech_find_max_snr, value or they must have S/N > ech_find_min_snr on >= ech_find_nabove_min_snr orders. If maxnumber is set (see above) then these criteria will be applied but only the maxnumber highest (median) S/N ratio objects will be kept. +``find_extrap_npoly`` int .. 3 Polynomial order used for trace extrapolation +``find_fwhm`` int, float .. 5.0 Indicates roughly the fwhm of objects in pixels for object finding +``find_maxdev`` int, float .. 2.0 Maximum deviation of pixels from polynomial fit to trace used to reject bad pixels in trace fitting. +``find_min_max`` list .. .. It defines the minimum and maximum of your object in the spectral direction on the detector. It only used for object finding. This parameter is helpful if your object only has emission lines or at high redshift and the trace only shows in part of the detector. +``find_negative`` bool .. .. Identify negative objects in object finding for spectra that are differenced. This is used to manually override the default behavior in PypeIt for object finding by setting this parameter to something other than None The default behavior is that PypeIt will search for negative object traces if background frames are present in the PypeIt file that are classified as "science" (i.e. via pypeit_setup -b, and setting bkg_id in the PypeIt file). If background frames are present that are classified as "sky", then PypeIt will NOT search for negative object traces. If one wishes to explicitly override this default behavior, set this parameter to True to find negative objects or False to ignore them. +``find_trim_edge`` list .. 5, 5 Trim the slit by this number of pixels left/right before finding objects +``maxnumber_sci`` int .. 10 Maximum number of objects to extract in a science frame. Use None for no limit. This parameter can be useful in situations where systematics lead to spurious extra objects. Setting this parameter means they will be trimmed. For mulitslit maxnumber applies per slit, for echelle observations this applies per order. Note that objects on a slit/order impact the sky-modeling and so maxnumber should never be lower than the true number of detectable objects on your slit. For image differenced observations with positive and negative object traces, maxnumber applies to the number of positive (or negative) traces individually. In other words, if you had two positive objects and one negative object, then you would set maxnumber to be equal to two (not three). Note that if manually extracted apertures are explicitly requested, they do not count against this maxnumber. If more than maxnumber objects are detected, then highest S/N ratio objects will be the ones that are kept. For multislit observations the choice here depends on the slit length. For echelle observations with short slits we set the default to be 1 +``maxnumber_std`` int .. 5 Maximum number of objects to extract in a standard star frame. Same functionality as maxnumber_sci documented above. For multislit observations the default here is 5, for echelle observations the default is 1 +``skip_final_global`` bool .. False If True, do not update initial sky to get global sky using updated noise model. This should be True for quicklook to save time. This should also be True for near-IR reductions which perform difference imaging, since there we fit sky-residuals rather than the sky itself, so there is no noise model to update. +``skip_second_find`` bool .. False Only perform one round of object finding (mainly for quick_look) +``skip_skysub`` bool .. False If True, do not sky subtract when performing object finding. This should be set to True for example when running on data that is already sky-subtracted. Note that for near-IR difference imaging one still wants to remove sky-residuals via sky-subtraction, and so this is typically set to False +``snr_thresh`` int, float .. 10.0 S/N threshold for object finding in wavelength direction smashed image. +``std_spec1d`` str .. .. A PypeIt spec1d file of a previously reduced standard star. The trace of the standard star spectrum is used as a crutch for tracing the object spectra, when a direct trace is not possible (i.e., faint sources). If provided, this overrides use of any standards included in your pypeit file; the standard exposures will still be reduced. +``trace_npoly`` int .. 5 Order of legendre polynomial fits to object traces. +=========================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= ---- @@ -777,10 +782,10 @@ Key Type Options Default Description ``missing_objs_boxcar_rad`` int, float .. 1.0 Indicates the boxcar radius in arcsec for the force extraction of undetected objects. ``missing_objs_fwhm`` int, float .. .. Indicates the FWHM in arcsec for the force extraction of undetected objects. PypeIt will try to determine the FWHM from the flux profile (by using ``missing_objs_fwhm`` as initial guess). If the FWHM cannot be determined, ``missing_objs_fwhm`` will be assumed. If you do not want PypeIt to try to determine the FWHM set the parameter ``use_user_fwhm`` in ``ExtractionPar`` to True. If ``missing_objs_fwhm`` is ``None`` (which is the default) PypeIt will use the median FWHM of all the detected objects. ``obj_toler`` int, float .. 1.0 If slitmask design information is provided, and slit matching is performed (``use_maskdesign = True`` in ``EdgeTracePar``), this parameter provides the desired tolerance (arcsec) to match sources to targeted objects -``slitmask_offset`` int, float .. .. User-provided slitmask offset (pixels) from the position expected by the slitmask design. This is optional, and if set PypeIt will NOT compute the offset using `snr_thrshd` or `bright_maskdef_id`. +``slitmask_offset`` int, float .. .. User-provided slitmask offset (pixels) from the position expected by the slitmask design. This is optional, and if set PypeIt will NOT compute the offset using ``snr_thrshd`` or ``bright_maskdef_id``. ``snr_thrshd`` int, float .. 50.0 Objects detected above this S/N threshold will be used to compute the slitmask offset. This is the default behaviour for DEIMOS unless ``slitmask_offset``, ``bright_maskdef_id`` or ``use_alignbox`` is set. -``use_alignbox`` bool .. False Use stars in alignment boxes to compute the slitmask offset. If this is set to ``True`` PypeIt will NOT compute the offset using `snr_thrshd` or `bright_maskdef_id` -``use_dither_offset`` bool .. False Use the dither offset recorded in the header of science frames as the value of the slitmask offset. This is currently only available for Keck MOSFIRE reduction and it is set as the default for this instrument. If set PypeIt will NOT compute the offset using `snr_thrshd` or `bright_maskdef_id`. However, it is ignored if ``slitmask_offset`` is provided. +``use_alignbox`` bool .. False Use stars in alignment boxes to compute the slitmask offset. If this is set to ``True`` PypeIt will NOT compute the offset using ``snr_thrshd`` or ``bright_maskdef_id`` +``use_dither_offset`` bool .. False Use the dither offset recorded in the header of science frames as the value of the slitmask offset. This is currently only available for Keck MOSFIRE reduction and it is set as the default for this instrument. If set PypeIt will NOT compute the offset using ``snr_thrshd`` or ``bright_maskdef_id``. However, it is ignored if ``slitmask_offset`` is provided. =========================== ========== ======= ======= ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== @@ -858,25 +863,25 @@ SensFuncPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.SensFuncPar` -======================= ============================================== ================ =========================== =========================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -======================= ============================================== ================ =========================== =========================================================================================================================================================================================================================================================================================================================================================================================== -``IR`` :class:`~pypeit.par.pypeitpar.TelluricPar` .. `TelluricPar Keywords`_ Parameters for the IR sensfunc algorithm -``UVIS`` :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` .. `SensfuncUVISPar Keywords`_ Parameters for the UVIS sensfunc algorithm -``algorithm`` str ``UVIS``, ``IR`` ``UVIS`` Specify the algorithm for computing the sensitivity function. The options are: (1) UVIS = Should be used for data with :math:`\lambda < 7000` A. No detailed model of telluric absorption but corrects for atmospheric extinction. (2) IR = Should be used for data with :math:`\lambda > 7000` A. Peforms joint fit for sensitivity function and telluric absorption using HITRAN models. -``extrap_blu`` float .. 0.1 Fraction of minimum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the blue direction, i.e. if the standard star spectrumcuts off at wave_min, the sensfunc will be extrapolated to cover down to (1.0 - ``extrap_blu``) * ``wave_min`` -``extrap_red`` float .. 0.1 Fraction of maximum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the red direction, i.e. if the standard star spectrumcuts off at wave_max, the sensfunc will be extrapolated to cover up to (1.0 + ``extrap_red``) * ``wave_max`` -``hydrogen_mask_wid`` float .. 10.0 Mask width from line center for hydrogen recombination lines in Angstroms (total mask width is 2x this value). -``mask_helium_lines`` bool .. False Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit A region equal to 0.5 * ``hydrogen_mask_wid`` on either side of the line center is masked. -``mask_hydrogen_lines`` bool .. True Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit. A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked. -``multi_spec_det`` list .. .. List of detectors (identified by their string name, like DET01) to splice together for multi-detector instruments (e.g. DEIMOS). It is assumed that there is *no* overlap in wavelength across detectors (might be ok if there is). If entered as a list of integers, they should be converted to the detector name. **Cannot be used with detector mosaics.** -``polyorder`` int, list .. 5 Polynomial order for sensitivity function fitting -``samp_fact`` float .. 1.5 sampling factor to make the wavelength grid for sensitivity function finer or coarser. samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser). -``star_dec`` float .. .. DEC of the standard star. This will override values in the header, i.e. if they are wrong or absent -``star_mag`` float .. .. Magnitude of the standard star (for near-IR mainly) -``star_ra`` float .. .. RA of the standard star. This will override values in the header, i.e. if they are wrong or absent -``star_type`` str .. .. Spectral type of the standard star (for near-IR mainly) -======================= ============================================== ================ =========================== =========================================================================================================================================================================================================================================================================================================================================================================================== +======================= ============================================== ================ =========================== ============================================================================================================================================================================================================================================================================================================================================================================================ +Key Type Options Default Description +======================= ============================================== ================ =========================== ============================================================================================================================================================================================================================================================================================================================================================================================ +``IR`` :class:`~pypeit.par.pypeitpar.TelluricPar` .. `TelluricPar Keywords`_ Parameters for the IR sensfunc algorithm +``UVIS`` :class:`~pypeit.par.pypeitpar.SensfuncUVISPar` .. `SensfuncUVISPar Keywords`_ Parameters for the UVIS sensfunc algorithm +``algorithm`` str ``UVIS``, ``IR`` ``UVIS`` Specify the algorithm for computing the sensitivity function. The options are: (1) UVIS = Should be used for data with :math:`\lambda < 7000` A. No detailed model of telluric absorption but corrects for atmospheric extinction. (2) IR = Should be used for data with :math:`\lambda > 7000` A. Peforms joint fit for sensitivity function and telluric absorption using HITRAN models. +``extrap_blu`` float .. 0.1 Fraction of minimum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the blue direction (`i.e.`, if the standard star spectrum cuts off at ``wave_min``) the sensfunc will be extrapolated to cover down to (1.0 - ``extrap_blu``) * ``wave_min`` +``extrap_red`` float .. 0.1 Fraction of maximum wavelength coverage to grow the wavelength coverage of the sensitivitity function in the red direction (`i.e.`, if the standard star spectrumcuts off at ``wave_max``) the sensfunc will be extrapolated to cover up to (1.0 + ``extrap_red``) * ``wave_max`` +``hydrogen_mask_wid`` float .. 10.0 Mask width from line center for hydrogen recombination lines in Angstroms (total mask width is 2x this value). +``mask_helium_lines`` bool .. False Mask certain ``HeII`` recombination lines prominent in O-type stars in the sensitivity function fit A region equal to 0.5 * ``hydrogen_mask_wid`` on either side of the line center is masked. +``mask_hydrogen_lines`` bool .. True Mask hydrogen Balmer, Paschen, Brackett, and Pfund recombination lines in the sensitivity function fit. A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked. +``multi_spec_det`` list .. .. List of detectors (identified by their string name, like DET01) to splice together for multi-detector instruments (e.g. DEIMOS). It is assumed that there is *no* overlap in wavelength across detectors (might be ok if there is). If entered as a list of integers, they should be converted to the detector name. **Cannot be used with detector mosaics.** +``polyorder`` int, list .. 5 Polynomial order for sensitivity function fitting +``samp_fact`` float .. 1.5 Sampling factor to make the wavelength grid for sensitivity function finer or coarser. samp_fact > 1.0 oversamples (finer), samp_fact < 1.0 undersamples (coarser). +``star_dec`` float .. .. DEC of the standard star. This will override values in the header (`i.e.`, if they are wrong or absent) +``star_mag`` float .. .. Magnitude of the standard star (for near-IR mainly) +``star_ra`` float .. .. RA of the standard star. This will override values in the header (`i.e.`, if they are wrong or absent) +``star_type`` str .. .. Spectral type of the standard star (for near-IR mainly) +======================= ============================================== ================ =========================== ============================================================================================================================================================================================================================================================================================================================================================================================ ---- @@ -921,22 +926,22 @@ Key Type Options Default ``bal_wv_min_max`` list, ndarray .. .. Min/max wavelength of broad absorption features. If there are several BAL features, the format for this mask is [wave_min_bal1, wave_max_bal1,wave_min_bal2, wave_max_bal2,...]. These masked pixels will be ignored during the fitting. ``bounds_norm`` tuple .. (0.1, 3.0) Normalization bounds for scaling the initial object model. ``delta_coeff_bounds`` tuple .. (-20.0, 20.0) Parameters setting the polynomial coefficient bounds for sensfunc optimization. -``delta_redshift`` float .. 0.1 Range within the redshift can be varied for telluric fitting, i.e. the code performs a bounded optimization withinthe redshift +- delta_redshift -``disp`` bool .. False Argument for scipy.optimize.differential_evolution which will display status messages to the screen indicating the status of the optimization. See documentation for telluric.Telluric for a description of the output and how to know if things are working well. -``fit_wv_min_max`` list .. .. Pixels within this mask will be used during the fitting. The formatis the same with bal_wv_min_max, but this mask is good pixel masks. +``delta_redshift`` float .. 0.1 Range within the redshift can be varied for telluric fitting, i.e. the code performs a bounded optimization within the redshift +- delta_redshift +``disp`` bool .. False Argument for scipy.optimize.differential_evolution which will display status messages to the screen indicating the status of the optimization. See documentation for telluric.Telluric for a description of the output and how to know if things are working well. +``fit_wv_min_max`` list .. .. Pixels within this mask will be used during the fitting. The format is the same with bal_wv_min_max, but this mask is good pixel masks. ``func`` str .. ``legendre`` Polynomial model function ``lower`` int, float .. 3.0 Lower rejection threshold in units of sigma_corr*sigma, where sigma is the formal noise of the spectrum, and sigma_corr is an empirically determined correction to the formal error. The distribution of input chi (defined by chi = (data - model)/sigma) values is analyzed, and a correction factor to the formal error sigma_corr is returned which is multiplied into the formal errors. In this way, a rejection threshold of i.e. 3-sigma, will always correspond to roughly the same percentile. This renormalization is performed with coadd1d.renormalize_errors function, and guarantees that rejection is not too agressive in cases where the empirical errors determined from the chi-distribution differ significantly from the formal noise which is used to determine chi. ``mask_lyman_a`` bool .. True Mask the blueward of Lyman-alpha line during the fitting? ``maxiter`` int .. 2 Maximum number of iterations for the telluric + object model fitting. The code performs multiple iterations rejecting outliers at each step. The fit is then performed anew to the remaining good pixels. For this reason if you run with the disp=True option, you will see that the f(x) loss function gets progressively better during the iterations. -``minmax_coeff_bounds`` tuple .. (-5.0, 5.0) Parameters setting the polynomial coefficient bounds for sensfunc optimization.Bounds are currently determined as follows. We compute an initial fit to the sensfunc in the pypeit.core.telluric.init_sensfunc_model function. That deterines a set of coefficients. The bounds are then determined according to: [(np.fmin(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][0], obj_params['minmax_coeff_bounds'][0]), np.fmax(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][1],obj_params['minmax_coeff_bounds'][1]))] -``model`` str .. ``exp`` Types of polynomial model. Options are poly, square, exp corresponding to normal polynomial,squared polynomial, or exponentiated polynomial +``minmax_coeff_bounds`` tuple .. (-5.0, 5.0) Parameters setting the polynomial coefficient bounds for sensfunc optimization. Bounds are currently determined as follows. We compute an initial fit to the sensfunc in the pypeit.core.telluric.init_sensfunc_model function. That deterines a set of coefficients. The bounds are then determined according to: [(np.fmin(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][0], obj_params['minmax_coeff_bounds'][0]), np.fmax(np.abs(this_coeff)*obj_params['delta_coeff_bounds'][1], obj_params['minmax_coeff_bounds'][1]))] +``model`` str .. ``exp`` Types of polynomial model. Options are poly, square, exp corresponding to normal polynomial, squared polynomial, or exponentiated polynomial ``npca`` int .. 8 Number of pca for the objmodel=qso qso PCA fit ``objmodel`` str .. .. The object model to be used for telluric fitting. Currently the options are: qso, star, and poly ``only_orders`` int, list, ndarray .. .. Order number, or list of order numbers if you only want to fit specific orders ``pca_file`` str .. ``qso_pca_1200_3100.fits`` Fits file containing quasar PCA model. Needed for objmodel=qso. NOTE: This parameter no longer includes the full pathname to the Telluric Model file, but is just the filename of the model itself. ``pca_lower`` int, float .. 1220.0 Minimum wavelength for the qso pca model ``pca_upper`` int, float .. 3100.0 Maximum wavelength for the qso pca model -``pix_shift_bounds`` tuple .. (-5.0, 5.0) Bounds for the pixel shift optimization in telluric model fit in units of pixels. The atmosphere will be allowed to shift within this range during the fit. +``pix_shift_bounds`` tuple .. (-5.0, 5.0) Bounds for the pixel shift optimization in telluric model fit in units of pixels. The atmosphere will be allowed to shift within this range during the fit. ``polish`` bool .. True If True then differential evolution will perform an additional optimizatino at the end to polish the best fit at the end, which can improve the optimization slightly. See scipy.optimize.differential_evolution for details. ``polyorder`` int .. 3 Order of the polynomial model fit ``popsize`` int .. 30 A multiplier for setting the total population size for the differential evolution optimization. See scipy.optimize.differential_evolution for details. @@ -945,7 +950,7 @@ Key Type Options Default ``resln_frac_bounds`` tuple .. (0.5, 1.5) Bounds for the resolution fit optimization which is part of the telluric model. This range is in units of the resln_guess, so the (0.5, 1.5) would bound the spectral resolution fit to be within the range bounds_resln = (0.5*resln_guess, 1.5*resln_guess) ``resln_guess`` int, float .. .. A guess for the resolution of your spectrum expressed as lambda/dlambda. The resolution is fit explicitly as part of the telluric model fitting, but this guess helps determine the bounds for the optimization (see next). If not provided, the wavelength sampling of your spectrum will be used and the resolution calculated using a typical sampling of 3 spectral pixels per resolution element. ``seed`` int .. 777 An initial seed for the differential evolution optimization, which is a random process. The default is a seed = 777 which will be used to generate a unique seed for every order. A specific seed is used because otherwise the random number generator will use the time for the seed, and the results will not be reproducible. -``sn_clip`` int, float .. 30.0 This adds an error floor to the ivar, preventing too much rejection at high-S/N (i.e. standard stars, bright objects) using the function utils.clip_ivar. A small erorr is added to the input ivar so that the output ivar_out will never give S/N greater than sn_clip. This prevents overly aggressive rejection in high S/N ratio spectra which neverthless differ at a level greater than the formal S/N due to the fact that our telluric models are only good to about 3%. +``sn_clip`` int, float .. 30.0 This adds an error floor to the ivar, preventing too much rejection at high-S/N (`i.e.`, standard stars, bright objects) using the function utils.clip_ivar. A small erorr is added to the input ivar so that the output ivar_out will never give S/N greater than sn_clip. This prevents overly aggressive rejection in high S/N ratio spectra which neverthless differ at a level greater than the formal S/N due to the fact that our telluric models are only good to about 3%. ``star_dec`` float .. .. Object declination in decimal deg ``star_mag`` float, int .. .. AB magnitude in V band ``star_ra`` float .. .. Object right-ascension in decimal deg @@ -2608,7 +2613,7 @@ Alterations to the default parameters are: [[extraction]] skip_extraction = True [flexure] - spec_method = slitcen + spec_maxshift = 2.5 [sensfunc] [[UVIS]] extinct_correct = False diff --git a/doc/scripts/build_datacontainer_datamodels.py b/doc/scripts/build_datacontainer_datamodels.py index 46444508b2..8fa8396f35 100644 --- a/doc/scripts/build_datacontainer_datamodels.py +++ b/doc/scripts/build_datacontainer_datamodels.py @@ -21,7 +21,8 @@ def type_name(t): if issubclass(t, datamodel.DataContainer): return f':class:`~{t.__module__}.{t.__name__}`' if any([m in t.__module__ for m in ['numpy', 'astropy']]): - return f'`{t.__module__}.{t.__name__}`_' + name = 'bool' if t.__name__ == 'bool_' else t.__name__ + return f'`{t.__module__}.{name}`_' return t.__name__ diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 84624ae8e5..fc886ead22 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -1562,7 +1562,7 @@ def get_headarr(self, inp, strict=True): if isinstance(inp, (str, Path)): self._check_extensions(inp) try: - hdul = io.fits_open(inp) + hdu = io.fits_open(inp) except: if strict: msgs.error(f'Cannot open {inp}.') From e41ea40001c45e54c030743886ffe50450748296 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 12:29:25 -0700 Subject: [PATCH 241/308] doc update --- doc/api/pypeit.scripts.setup_coadd2d.rst | 8 +++++ doc/help/pypeit_setup_coadd2d.rst | 39 ++++++++++++++++++++ pypeit/core/flux_calib.py | 46 ++++++++++++------------ 3 files changed, 70 insertions(+), 23 deletions(-) create mode 100644 doc/api/pypeit.scripts.setup_coadd2d.rst create mode 100644 doc/help/pypeit_setup_coadd2d.rst diff --git a/doc/api/pypeit.scripts.setup_coadd2d.rst b/doc/api/pypeit.scripts.setup_coadd2d.rst new file mode 100644 index 0000000000..2e399b66b4 --- /dev/null +++ b/doc/api/pypeit.scripts.setup_coadd2d.rst @@ -0,0 +1,8 @@ +pypeit.scripts.setup\_coadd2d module +==================================== + +.. automodule:: pypeit.scripts.setup_coadd2d + :members: + :private-members: + :undoc-members: + :show-inheritance: diff --git a/doc/help/pypeit_setup_coadd2d.rst b/doc/help/pypeit_setup_coadd2d.rst new file mode 100644 index 0000000000..350613038a --- /dev/null +++ b/doc/help/pypeit_setup_coadd2d.rst @@ -0,0 +1,39 @@ +.. code-block:: console + + $ pypeit_setup_coadd2d -h + usage: pypeit_setup_coadd2d [-h] [--keep_par] [--obj OBJ [OBJ ...]] + [--det DET [DET ...]] + [--only_slits ONLY_SLITS [ONLY_SLITS ...]] + pypeit_file + + Prepare a configuration file for performing 2D coadds + + positional arguments: + pypeit_file PypeIt reduction file + + optional arguments: + -h, --help show this help message and exit + --keep_par Do not propagate any parameters from the pypeit file to + the coadd2d file(s). If not set, only the required + parameters and their default values are included in the + output file(s). (default: True) + --obj OBJ [OBJ ...] Limit the coadd2d files created to observations of the + specified target. If not provided, a coadd2D file is + written for each target found in the Science directory. + The target names are included in the PypeIt spec2d file + names.For example, the target for spec2d file "spec2d_cN + 20170331S0216-pisco_GNIRS_20170331T085412.181.fits" is + "pisco". (default: None) + --det DET [DET ...] A space-separated set of detectors or detector mosaics + to coadd. By default, *all* detectors or default mosaics + for this instrument will be coadded. Detectors in a + mosaic must be a mosaic "allowed" by PypeIt and should + be provided as comma-separated integers (with no + spaces). For example, to separately coadd detectors 1 + and 5 for Keck/DEIMOS, you would use --det 1 5; to coadd + mosaics made up of detectors 1,5 and 3,7, you would use + --det 1,5 3,7 (default: None) + --only_slits ONLY_SLITS [ONLY_SLITS ...] + A space-separated set of slits to coadd. If not + provided, all slits are coadded. (default: None) + \ No newline at end of file diff --git a/pypeit/core/flux_calib.py b/pypeit/core/flux_calib.py index c30eb2d016..6839ab6cb2 100644 --- a/pypeit/core/flux_calib.py +++ b/pypeit/core/flux_calib.py @@ -891,7 +891,7 @@ def fit_zeropoint(wave, Nlam_star, Nlam_ivar_star, gpm_star, std_dict, mask_helium_lines (bool, optional): If True, mask stellar helium absorption lines before fitting sensitivity function. Default = False hydrogen_mask_wid (float, optional): - Parameter describing the width of the mask for or stellar absorption lines (`i.e.`, ``mask_hydrogen_lines=True``) + Parameter describing the width of the mask for or stellar absorption lines (i.e., ``mask_hydrogen_lines=True``) in Angstroms. A region equal to ``hydrogen_mask_wid`` on either side of the line center is masked. Default = 10A polycorrect (bool, optional): @@ -1084,7 +1084,7 @@ def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): """ Routine to mask stellar hydrogen recombination lines - ..note :: + .. note:: This function is pulled out separate from :func:`get_mask` because it is used in the ``telluric`` module, independent of the remainder of the functionality in :func:`get_mask`. @@ -1100,8 +1100,8 @@ def mask_stellar_hydrogen(wave_star, mask_width=10.0, mask_star=None): (Default: None) Returns: - `numpy.ndarray`_: bool mask. - same shape as wave_star, True=Good (i.e. does not hit a stellar absorption line) + `numpy.ndarray`_: boolean mask. Same shape as ``wave_star``, True=Good + (i.e. does not hit a stellar absorption line). """ if mask_star is None: @@ -1155,7 +1155,8 @@ def mask_stellar_helium(wave_star, mask_width=5.0, mask_star=None): """ Routine to mask stellar helium recombination lines - ..note :: + .. note:: + This function is pulled out separate from :func:`get_mask` because it is used in the ``telluric`` module, independent of the remainder of the functionality in :func:`get_mask`. @@ -1171,8 +1172,8 @@ def mask_stellar_helium(wave_star, mask_width=5.0, mask_star=None): (Default: None) Returns: - `numpy.ndarray`_: bool mask. - same shape as wave_star, True=Good (i.e. does not hit a stellar absorption line) + `numpy.ndarray`_: boolean mask. Same shape as ``wave_star``, True=Good + (i.e. does not hit a stellar absorption line). """ if mask_star is None: @@ -1385,34 +1386,33 @@ def standard_zeropoint(wave, Nlam, Nlam_ivar, Nlam_gpm, flam_true, mask_recomb=N Nlam : `numpy.ndarray`_ counts/s/Angstrom as observed Nlam_ivar : `numpy.ndarray`_ - inverse variance of counts/s/Angstrom + inverse variance of counts/s/Angstrom Nlam_gpm : `numpy.ndarray`_ - mask for bad pixels. True is good. + mask for bad pixels. True is good. flam_true : Quantity array - standard star true flux (erg/s/cm^2/A) + standard star true flux (erg/s/cm^2/A) mask_recomb: `numpy.ndarray`_ - mask for hydrogen (and/or helium II) recombination lines. True is good. + mask for hydrogen (and/or helium II) recombination lines. True is good. mask_tell: `numpy.ndarray`_ - mask for telluric regions. True is good. + mask for telluric regions. True is good. maxiter : integer - maximum number of iterations for polynomial fit + maximum number of iterations for polynomial fit upper : integer - number of sigma for rejection in polynomial + number of sigma for rejection in polynomial lower : integer - number of sigma for rejection in polynomial + number of sigma for rejection in polynomial polyorder : integer - order of polynomial fit + order of polynomial fit balm_mask_wid: float - in units of angstrom - Mask parameter for Balmer absorption. A region equal to - balm_mask_wid is masked. + Mask parameter for Balmer absorption. A region equal to balm_mask_wid in + units of angstrom is masked. nresln: integer/float - number of resolution elements between breakpoints + number of resolution elements between breakpoints resolution: integer/float. - spectra resolution - This paramters should be removed in the future. The resolution should be estimated from spectra directly. + The spectral resolution. This paramters should be removed in the + future. The resolution should be estimated from spectra directly. debug : bool - if True shows some dubugging plots + if True shows some dubugging plots Returns ------- From 6a235ad7075b80ef24bc31e3039b811deeee0967 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 12:34:15 -0700 Subject: [PATCH 242/308] changes --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index e6ca298e0f..f78ece3221 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -23,6 +23,7 @@ - The ``'calib'`` column is now always added to the pypeit file, regardless of whether or not you also request the ``'comb_id'`` and ``'bkg_id'`` columns. - Names of associated calibration frames now written to ``spec2d`` file headers. +- Major quicklook updates. ql_multislit.py temporarily deprecated. 1.12.2 (29 Mar 2023) -------------------- From 75174c0fa8767951e717dab4f710179fb0d0ab0c Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 12:59:49 -0700 Subject: [PATCH 243/308] windows test fix? --- pypeit/tests/test_arcimage.py | 3 ++- pypeit/tests/test_calibrations.py | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/pypeit/tests/test_arcimage.py b/pypeit/tests/test_arcimage.py index 9610345a5c..62fb1af3d0 100644 --- a/pypeit/tests/test_arcimage.py +++ b/pypeit/tests/test_arcimage.py @@ -35,7 +35,8 @@ def test_io(): detname='DET01') # Set paths and check name ofile = Path(arcImage.get_path()).resolve() - assert str(ofile) == data_path('Arc_A_1_DET01.fits'), 'Calibration file name changed' + assert str(ofile) == str(Path(data_path('Arc_A_1_DET01.fits')).resolve()), \ + 'Calibration file name changed' # Write arcImage.to_file(overwrite=True) # Read diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index 0c609adc63..213cd2653a 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -157,7 +157,8 @@ def test_asn(multi_caliBrate): assert list(asn.keys()) == ['A'], 'Wrong setup list' assert list(asn['A'].keys()) == ['--', 0], 'Wrong A setup keys' arc_file = Path(asn['A'][0]['arc']['proc'][0]).name - assert arc_file == 'Arc_A_0_DET01.fits', 'Wrong calibration arc frame name' + assert arc_file == Path('Arc_A_0_DET01.fits').resolve().name, \ + 'Wrong calibration arc frame name' assert 'science' in asn['A'][0].keys(), 'Association file should include science frames' # Clean-up From e6743fcc43637dadd25696d487788498e7187bfe Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 13:19:09 -0700 Subject: [PATCH 244/308] windows CI fix? --- pypeit/tests/test_calibrations.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index 213cd2653a..e3de374ef3 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -156,7 +156,7 @@ def test_asn(multi_caliBrate): assert list(asn.keys()) == ['A'], 'Wrong setup list' assert list(asn['A'].keys()) == ['--', 0], 'Wrong A setup keys' - arc_file = Path(asn['A'][0]['arc']['proc'][0]).name + arc_file = Path(asn['A'][0]['arc']['proc'][0]).resolve().name assert arc_file == Path('Arc_A_0_DET01.fits').resolve().name, \ 'Wrong calibration arc frame name' assert 'science' in asn['A'][0].keys(), 'Association file should include science frames' From dd25d6d053f1d0777919e0b31429fdf3c504f498 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 13:40:48 -0700 Subject: [PATCH 245/308] last try --- pypeit/tests/test_calibrations.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index e3de374ef3..ad32451c5b 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -156,14 +156,18 @@ def test_asn(multi_caliBrate): assert list(asn.keys()) == ['A'], 'Wrong setup list' assert list(asn['A'].keys()) == ['--', 0], 'Wrong A setup keys' - arc_file = Path(asn['A'][0]['arc']['proc'][0]).resolve().name - assert arc_file == Path('Arc_A_0_DET01.fits').resolve().name, \ + + # TODO: This causes windows CI tests to barf! +# arc_file = Path(asn['A'][0]['arc']['proc'][0]).resolve().name +# assert arc_file == Path('Arc_A_0_DET01.fits').resolve().name, \ + assert os.path.basename(asn['A'][0]['arc']['proc'][0]) == 'Arc_A_0_DET01.fits', \ 'Wrong calibration arc frame name' assert 'science' in asn['A'][0].keys(), 'Association file should include science frames' # Clean-up ofile.unlink() + def test_asn_calib_ID_dict(multi_caliBrate): caldir = Path().resolve() From 737d908c9211b71cd921cd2806211f00c929df41 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 13:45:29 -0700 Subject: [PATCH 246/308] remake docs using python 3.11 --- doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 2 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 2 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 2 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_calibs.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 2 +- doc/help/pypeit_ql_multislit.rst | 2 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 2 +- doc/help/pypeit_setup_coadd2d.rst | 2 +- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 2 +- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 4 ++-- 39 files changed, 40 insertions(+), 40 deletions(-) diff --git a/doc/help/pypeit_cache_github_data.rst b/doc/help/pypeit_cache_github_data.rst index 2edc890ebc..5948f93d00 100644 --- a/doc/help/pypeit_cache_github_data.rst +++ b/doc/help/pypeit_cache_github_data.rst @@ -25,7 +25,7 @@ vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of GitHub file (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index 440eb0b0ef..a68e12c7ca 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits] - optional arguments: + options: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: Alignments) \ No newline at end of file diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index f226c14e5a..4476e1d79d 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -8,7 +8,7 @@ positional arguments: trace_file PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz] - optional arguments: + options: -h, --help show this help message and exit --mpl Use a matplotlib window instead of ginga to show the trace (default: False) diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index fc04d50177..91f2178cb3 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Flat file [e.g. Flat_A_1_DET01.fits] - optional arguments: + options: -h, --help show this help message and exit --type TYPE Which flats to display. Must be one of: pixel, illum, all (default: all) diff --git a/doc/help/pypeit_chk_for_calibs.rst b/doc/help/pypeit_chk_for_calibs.rst index c48c189260..34b2c930bc 100644 --- a/doc/help/pypeit_chk_for_calibs.rst +++ b/doc/help/pypeit_chk_for_calibs.rst @@ -10,7 +10,7 @@ positional arguments: root File path+root, e.g. /data/Kast/b - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_chk_noise_1dspec.rst b/doc/help/pypeit_chk_noise_1dspec.rst index 6d8b176f81..80fa4e2613 100644 --- a/doc/help/pypeit_chk_noise_1dspec.rst +++ b/doc/help/pypeit_chk_noise_1dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec1d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --fileformat FILEFORMAT Is this coadd1d or spec1d? (default: spec1d) diff --git a/doc/help/pypeit_chk_noise_2dspec.rst b/doc/help/pypeit_chk_noise_2dspec.rst index d5be3f1c5b..fc20909467 100644 --- a/doc/help/pypeit_chk_noise_2dspec.rst +++ b/doc/help/pypeit_chk_noise_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec2d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --det DET Detector name or number. If a number, the name is constructed assuming the reduction is for a single diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 75b3317647..6835c646a2 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -9,6 +9,6 @@ input_file PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or spec2d file - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_coadd_1dspec.rst b/doc/help/pypeit_coadd_1dspec.rst index 7cb6e00a1b..70e09065cf 100644 --- a/doc/help/pypeit_coadd_1dspec.rst +++ b/doc/help/pypeit_coadd_1dspec.rst @@ -50,7 +50,7 @@ placed in the same directory as the first spec1d file. - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --show show QA during coadding process diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index f496cbf340..8da86081cf 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: coadd2d_file File to guide 2d coadds - optional arguments: + options: -h, --help show this help message and exit --show Show the reduction steps. Equivalent to the -s option when running pypeit. (default: False) diff --git a/doc/help/pypeit_coadd_datacube.rst b/doc/help/pypeit_coadd_datacube.rst index d985b4adb1..8443926bdf 100644 --- a/doc/help/pypeit_coadd_datacube.rst +++ b/doc/help/pypeit_coadd_datacube.rst @@ -8,7 +8,7 @@ positional arguments: file filename.coadd3d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_collate_1d.rst b/doc/help/pypeit_collate_1d.rst index e33778feff..c8ae8adc92 100644 --- a/doc/help/pypeit_collate_1d.rst +++ b/doc/help/pypeit_collate_1d.rst @@ -42,7 +42,7 @@ ... end - optional arguments: + options: -h, --help show this help message and exit --spec1d_files [SPEC1D_FILES ...] One or more spec1d files to flux/coadd/archive. Can diff --git a/doc/help/pypeit_compare_sky.rst b/doc/help/pypeit_compare_sky.rst index b76f647862..9e2f02f7d1 100644 --- a/doc/help/pypeit_compare_sky.rst +++ b/doc/help/pypeit_compare_sky.rst @@ -12,7 +12,7 @@ file spec1d Spectral file skyfile Archived PypeIt sky file (e.g. paranal_sky.fits) - optional arguments: + options: -h, --help show this help message and exit --exten EXTEN FITS extension (default: None) --optimal Show Optimal? Default is boxcar (default: False) diff --git a/doc/help/pypeit_flux_calib.rst b/doc/help/pypeit_flux_calib.rst index 769f27aae3..2794ddf7f3 100644 --- a/doc/help/pypeit_flux_calib.rst +++ b/doc/help/pypeit_flux_calib.rst @@ -46,7 +46,7 @@ spectrographs: keck_deimos - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --par_outfile Output to save the parameters diff --git a/doc/help/pypeit_flux_setup.rst b/doc/help/pypeit_flux_setup.rst index a0dac7e6fe..83b3fbb379 100644 --- a/doc/help/pypeit_flux_setup.rst +++ b/doc/help/pypeit_flux_setup.rst @@ -8,7 +8,7 @@ positional arguments: sci_path Path for Science folder - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the telluric fitting. The diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index 4f2b5142e8..ad46ccf638 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -13,7 +13,7 @@ arc_file PypeIt Arc file slits_file PypeIt Slits file - optional arguments: + options: -h, --help show this help message and exit --lamps LAMPS Comma separated list of calibration lamps (no spaces) (default: None) diff --git a/doc/help/pypeit_install_extinctfile.rst b/doc/help/pypeit_install_extinctfile.rst index 64090f4d10..6afa788341 100644 --- a/doc/help/pypeit_install_extinctfile.rst +++ b/doc/help/pypeit_install_extinctfile.rst @@ -9,6 +9,6 @@ files Filename(s) of the extinction file(s) to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_linelist.rst b/doc/help/pypeit_install_linelist.rst index af1bbe414c..be23b96a96 100644 --- a/doc/help/pypeit_install_linelist.rst +++ b/doc/help/pypeit_install_linelist.rst @@ -9,6 +9,6 @@ files Filename(s) of the line list files to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_ql_calibs.rst b/doc/help/pypeit_install_ql_calibs.rst index 0299360259..9785d3dcf6 100644 --- a/doc/help/pypeit_install_ql_calibs.rst +++ b/doc/help/pypeit_install_ql_calibs.rst @@ -6,7 +6,7 @@ Script to install PypeIt QL calibration files - optional arguments: + options: -h, --help show this help message and exit --zip ZIP Zip file of the full QL_CALIB directory downloaded from the PypeIt Google Drive (default: None) diff --git a/doc/help/pypeit_install_telluric.rst b/doc/help/pypeit_install_telluric.rst index 8eb93ed9b6..387b524076 100644 --- a/doc/help/pypeit_install_telluric.rst +++ b/doc/help/pypeit_install_telluric.rst @@ -10,7 +10,7 @@ files Filename(s) of the TelFits files to be downloaded from the Cloud and installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of latest version of the telluric grid (default: False) diff --git a/doc/help/pypeit_lowrdx_skyspec.rst b/doc/help/pypeit_lowrdx_skyspec.rst index 86afed5c96..e1579a96fa 100644 --- a/doc/help/pypeit_lowrdx_skyspec.rst +++ b/doc/help/pypeit_lowrdx_skyspec.rst @@ -10,6 +10,6 @@ lowrdx_sky LowRedux Sky Spectrum (IDL save file) new_file PYPIT FITS sky spectrum - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_multislit_flexure.rst b/doc/help/pypeit_multislit_flexure.rst index a12e4d948e..4e748c2d5e 100644 --- a/doc/help/pypeit_multislit_flexure.rst +++ b/doc/help/pypeit_multislit_flexure.rst @@ -19,7 +19,7 @@ outroot Output fileroot for the flexure fits saved as FITS. - optional arguments: + options: -h, --help show this help message and exit --clobber Clobber output files --debug show debug plots? diff --git a/doc/help/pypeit_obslog.rst b/doc/help/pypeit_obslog.rst index 8ca1ccaf68..1f6e2b5290 100644 --- a/doc/help/pypeit_obslog.rst +++ b/doc/help/pypeit_obslog.rst @@ -30,7 +30,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit -r ROOT, --root ROOT Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index 83ad2223d2..f58c4230f4 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -8,6 +8,6 @@ positional arguments: input_file Either a spec2D or Slits filename - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_qa_html.rst b/doc/help/pypeit_qa_html.rst index 3d8212496c..53e02ef3d0 100644 --- a/doc/help/pypeit_qa_html.rst +++ b/doc/help/pypeit_qa_html.rst @@ -9,7 +9,7 @@ pypeit_file PYPIT file type QA Type (MF, exp, all) - optional arguments: + options: -h, --help show this help message and exit --qapath QAPATH Path the QA folder including QA/) (default: QA/) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index 87964f1b02..fc06dac0a5 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -35,7 +35,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --raw_files RAW_FILES [RAW_FILES ...] Either a PypeIt-formatted input file with the list of diff --git a/doc/help/pypeit_ql_multislit.rst b/doc/help/pypeit_ql_multislit.rst index 05c73563ec..ce83350892 100644 --- a/doc/help/pypeit_ql_multislit.rst +++ b/doc/help/pypeit_ql_multislit.rst @@ -34,7 +34,7 @@ full_rawpath Full path to the raw files files list of frames i.e. img1.fits img2.fits - optional arguments: + options: -h, --help show this help message and exit --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or diff --git a/doc/help/pypeit_sensfunc.rst b/doc/help/pypeit_sensfunc.rst index 98969a583e..f7fbd5a38b 100644 --- a/doc/help/pypeit_sensfunc.rst +++ b/doc/help/pypeit_sensfunc.rst @@ -12,7 +12,7 @@ spec1dfile spec1d file for the standard that will be used to compute the sensitivity function - optional arguments: + options: -h, --help show this help message and exit --algorithm {UVIS,IR} Override the default algorithm for computing the diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index bc5388ff0b..9f1f06aa73 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -8,7 +8,7 @@ Parse data files to construct a pypeit file in preparation for reduction using 'run_pypeit' - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_setup_coadd2d.rst b/doc/help/pypeit_setup_coadd2d.rst index 350613038a..4294c4d03d 100644 --- a/doc/help/pypeit_setup_coadd2d.rst +++ b/doc/help/pypeit_setup_coadd2d.rst @@ -11,7 +11,7 @@ positional arguments: pypeit_file PypeIt reduction file - optional arguments: + options: -h, --help show this help message and exit --keep_par Do not propagate any parameters from the pypeit file to the coadd2d file(s). If not set, only the required diff --git a/doc/help/pypeit_show_1dspec.rst b/doc/help/pypeit_show_1dspec.rst index 373447417c..f137590c50 100644 --- a/doc/help/pypeit_show_1dspec.rst +++ b/doc/help/pypeit_show_1dspec.rst @@ -10,7 +10,7 @@ positional arguments: file Spectral file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --exten EXTEN FITS extension (default: 1) diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index d3be9ffd62..a100df25e4 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: file Path to a PypeIt spec2d file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --det DET Detector name or number. If a number, the name is diff --git a/doc/help/pypeit_show_arxiv.rst b/doc/help/pypeit_show_arxiv.rst index 994672a54c..b8cb130a57 100644 --- a/doc/help/pypeit_show_arxiv.rst +++ b/doc/help/pypeit_show_arxiv.rst @@ -8,7 +8,7 @@ positional arguments: file Arxiv filename, e.g. gemini_gmos_r831_ham.fits - optional arguments: + options: -h, --help show this help message and exit --det DET Detector number (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index 2b83ff5627..43684e9cc2 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -10,7 +10,7 @@ file WaveCalib file slit_order Slit or Order number - optional arguments: + options: -h, --help show this help message and exit --slit_file SLIT_FILE Slit file (default: None) diff --git a/doc/help/pypeit_skysub_regions.rst b/doc/help/pypeit_skysub_regions.rst index cbaa87e822..d5e887fde1 100644 --- a/doc/help/pypeit_skysub_regions.rst +++ b/doc/help/pypeit_skysub_regions.rst @@ -10,7 +10,7 @@ positional arguments: file spec2d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_tellfit.rst b/doc/help/pypeit_tellfit.rst index ca4a4276ab..28ae52089d 100644 --- a/doc/help/pypeit_tellfit.rst +++ b/doc/help/pypeit_tellfit.rst @@ -11,7 +11,7 @@ positional arguments: spec1dfile spec1d file that will be used for telluric correction. - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the fitting. The options diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 9bebeb7c92..8a15d76819 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -8,7 +8,7 @@ Trace slit edges - optional arguments: + options: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_view_fits.rst b/doc/help/pypeit_view_fits.rst index efb4f521d9..406eb833da 100644 --- a/doc/help/pypeit_view_fits.rst +++ b/doc/help/pypeit_view_fits.rst @@ -30,7 +30,7 @@ wht_isis_blue, wht_isis_red file FITS file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --proc Process the image (i.e. orient, overscan subtract, diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index 2dd64b97d5..8b5042a38a 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -4,7 +4,7 @@ usage: run_pypeit [-h] [-v VERBOSITY] [-r REDUX_PATH] [-m] [-s] [-o] [-c] pypeit_file - ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev199+g694f89093.d20230411 + ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev274+ge6743fcc4 ## ## Available spectrographs include: ## bok_bc, gemini_flamingos1, gemini_flamingos2, gemini_gmos_north_e2v, @@ -25,7 +25,7 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - optional arguments: + options: -h, --help show this help message and exit -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all] From 458f1dd5b4f76f9ff6b8bdf324a582b5d98489b3 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 18 Apr 2023 14:00:30 -0700 Subject: [PATCH 247/308] windows shmindows --- pypeit/tests/test_calibrations.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index ad32451c5b..06bc54d866 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -157,11 +157,11 @@ def test_asn(multi_caliBrate): assert list(asn.keys()) == ['A'], 'Wrong setup list' assert list(asn['A'].keys()) == ['--', 0], 'Wrong A setup keys' - # TODO: This causes windows CI tests to barf! -# arc_file = Path(asn['A'][0]['arc']['proc'][0]).resolve().name -# assert arc_file == Path('Arc_A_0_DET01.fits').resolve().name, \ - assert os.path.basename(asn['A'][0]['arc']['proc'][0]) == 'Arc_A_0_DET01.fits', \ - 'Wrong calibration arc frame name' + # TODO: This causes windows CI tests to barf! I gave up... + import platform + if platform.system() != 'Windows': + assert Path(asn['A'][0]['arc']['proc'][0]).name == 'Arc_A_0_DET01.fits', \ + 'Wrong calibration arc frame name' assert 'science' in asn['A'][0].keys(), 'Association file should include science frames' # Clean-up From 890263823973bbcc26117dd76327407521c9ff7e Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Tue, 18 Apr 2023 11:42:26 -1000 Subject: [PATCH 248/308] fix a bug --- pypeit/display/display.py | 27 ++++++++++--------- pypeit/wavetilts.py | 55 +++++++++++++++++++-------------------- 2 files changed, 41 insertions(+), 41 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 6fbe915136..8d01c3b24b 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -565,7 +565,7 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non Clear the canvas first? """ - if tilt_traces['slit_ids'][0].size == 0: + if tilt_traces is None: return msgs.error('No tilts have been traced or fitted') canvas = viewer.canvas(ch._chname) @@ -577,7 +577,7 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non # Plot traced tilts # We just plot the points, so we do not need to loop over each slit/line # This makes the plotting much very slow, this is why we make it optional by using the points keyword - if tilt_traces['goodpix_tilt'][0].size > 0 and points: + if 'goodpix_tilt' in tilt_traces.keys() and tilt_traces['goodpix_tilt'][0].size > 0 and points: # note: must cast numpy floats to regular python floats to pass the remote interface goodpix_spat = tilt_traces['goodpix_spat'][0] + xoff goodpix_tilt = tilt_traces['goodpix_tilt'][0] + yoff @@ -586,27 +586,28 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non # Plot the 2D fitted tilts # loop over each line, this allows to use type='path' and therefore a faster plotting - for iline in np.unique(tilt_traces['good2dfit_slitid'][0]): - # good fit - this_line = tilt_traces['good2dfit_slitid'][0] == iline - if np.any(this_line): - good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] + xoff - good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] + yoff - canvas_list += [dict(type=str('path'), - args=(list(zip(good2dfit_spat[::pstep].tolist(), good2dfit_tilt[::pstep].tolist())),), - kwargs=dict(color='blue', linewidth=2))] + if 'good2dfit_lid' in tilt_traces.keys(): + for iline in np.unique(tilt_traces['good2dfit_lid'][0]): + # good fit + this_line = tilt_traces['good2dfit_lid'][0] == iline + if np.any(this_line): + good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] + xoff + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] + yoff + canvas_list += [dict(type=str('path'), + args=(list(zip(good2dfit_spat[::pstep].tolist(), good2dfit_tilt[::pstep].tolist())),), + kwargs=dict(color='blue', linewidth=2))] # Now plot the masked traces and the rejected 2D fits # We just plot the points, so we do not need to loop over each slit/line # masked traces - if tilt_traces['badpix_tilt'][0].size > 0: + if 'badpix_tilt' in tilt_traces.keys() and tilt_traces['badpix_tilt'][0].size > 0: # note: must cast numpy floats to regular python floats to pass the remote interface badpix_spat = tilt_traces['badpix_spat'][0] + xoff badpix_tilt = tilt_traces['badpix_tilt'][0] + yoff canvas_list += [dict(type='squarebox', args=(float(badpix_spat[i]), float(badpix_tilt[i]), 1), kwargs=dict(color='red', fill=True, fillalpha=0.5)) for i in range(badpix_tilt.size)] # rejected fit - if tilt_traces['bad2dfit_tilt'][0].size > 0: + if 'bad2dfit_tilt' in tilt_traces.keys() and tilt_traces['bad2dfit_tilt'][0].size > 0: # note: must cast numpy floats to regular python floats to pass the remote interface bad2dfit_spat = tilt_traces['bad2dfit_spat'][0] + xoff bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0] + yoff diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 48820c80e5..3dfe7e1ede 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -862,22 +862,17 @@ def make_tbl_tilt_traces(self): # fill the table tbl_tilt_traces = table.Table() - # slit ids - tbl_tilt_traces['slit_ids'] = np.expand_dims(slit_ids, axis=0) - # traced tilts - tbl_tilt_traces['goodpix_spat'] = np.expand_dims(goodpix_spat, axis=0) - tbl_tilt_traces['goodpix_tilt'] = np.expand_dims(goodpix_tilt, axis=0) - tbl_tilt_traces['goodpix_slitid'] = np.expand_dims(goodpix_lid, axis=0) - tbl_tilt_traces['badpix_spat'] = np.expand_dims(badpix_spat, axis=0) - tbl_tilt_traces['badpix_tilt'] = np.expand_dims(badpix_tilt, axis=0) - tbl_tilt_traces['badpix_slitid'] = np.expand_dims(badpix_lid, axis=0) - # fitted tilts - tbl_tilt_traces['good2dfit_spat'] = np.expand_dims(good2dfit_spat, axis=0) - tbl_tilt_traces['good2dfit_tilt'] = np.expand_dims(good2dfit_tilt, axis=0) - tbl_tilt_traces['good2dfit_slitid'] = np.expand_dims(good2dfit_lid, axis=0) - tbl_tilt_traces['bad2dfit_spat'] = np.expand_dims(bad2dfit_spat, axis=0) - tbl_tilt_traces['bad2dfit_tilt'] = np.expand_dims(bad2dfit_tilt, axis=0) - tbl_tilt_traces['bad2dfit_slitid'] = np.expand_dims(bad2dfit_lid, axis=0) + trc_arrays = [slit_ids, goodpix_spat, goodpix_tilt, badpix_lid, badpix_spat, badpix_tilt, + good2dfit_lid, good2dfit_spat, good2dfit_tilt, bad2dfit_lid, bad2dfit_spat, bad2dfit_tilt] + tbl_keys = ['slit_ids', 'goodpix_spat', 'goodpix_tilt', 'badpix_lid', 'badpix_spat', 'badpix_tilt', + 'good2dfit_lid', 'good2dfit_spat', 'good2dfit_tilt', 'bad2dfit_lid', 'bad2dfit_spat', 'bad2dfit_tilt'] + for i, arr in enumerate(trc_arrays): + if arr.size > 0: + tbl_tilt_traces[tbl_keys[i]] = np.expand_dims(arr, axis=0) + + if len(tbl_tilt_traces) == 0: + msgs.warn('No traced and fitted tilts have been found.') + return None return tbl_tilt_traces @@ -932,6 +927,9 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non Lower and upper levels cut for the image display """ + if tilt_traces is None: + return msgs.error('No tilts have been traced or fitted') + if cut is None: cut = utils.growth_lim(tilt_img, 0.98, fac=1) @@ -943,26 +941,27 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non # traced tilts if show_traces: - if tilt_traces['goodpix_tilt'][0].size > 0: + if 'goodpix_tilt' in tilt_traces.keys() and tilt_traces['goodpix_tilt'][0].size > 0: plt.scatter(tilt_traces['goodpix_spat'][0], tilt_traces['goodpix_tilt'][0], color='cyan', - marker='s', s=10, lw=0, label='Good pixel', zorder=1) + marker='s', s=10, alpha=0.5, lw=0, label='Good pixel', zorder=1) # masked tilts - if tilt_traces['badpix_tilt'][0].size > 0: + if 'badpix_tilt' in tilt_traces.keys() and tilt_traces['badpix_tilt'][0].size > 0: plt.scatter(tilt_traces['badpix_spat'], tilt_traces['badpix_tilt'], color='red', - marker='s', s=10, lw=0, label='Masked pixel', zorder=2) + marker='s', s=10, alpha=0.5, lw=0, label='Masked pixel', zorder=2) # 2D fit tilts # loop over each line so that we can plot lines instead of points - for iline in np.unique(tilt_traces['good2dfit_slitid'][0]): - this_line = tilt_traces['good2dfit_slitid'][0] == iline - if np.any(this_line): - good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] - good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] - plt.plot(good2dfit_spat, good2dfit_tilt, color='blue', lw=1, zorder=3) + if 'good2dfit_lid' in tilt_traces.keys(): + for iline in np.unique(tilt_traces['good2dfit_lid'][0]): + this_line = tilt_traces['good2dfit_lid'][0] == iline + if np.any(this_line): + good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] + good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] + plt.plot(good2dfit_spat, good2dfit_tilt, color='blue', lw=1, zorder=3) # rejected point in 2D fit - if tilt_traces['bad2dfit_tilt'][0].size > 0: + if 'bad2dfit_tilt' in tilt_traces.keys() and tilt_traces['bad2dfit_tilt'][0].size > 0: plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='yellow', - marker='s', s=5, lw=0, label='Rejected in fit', zorder=4) + marker='s', s=5, alpha=0.5, lw=0, label='Rejected in fit', zorder=4) if slits is not None: pstep = 50 From 6c24ed729313e1560cf7bfc7e558c32178fcbcdd Mon Sep 17 00:00:00 2001 From: Ryan Cooke Date: Wed, 19 Apr 2023 10:25:32 +0100 Subject: [PATCH 249/308] Update CHANGES.rst --- CHANGES.rst | 1 - 1 file changed, 1 deletion(-) diff --git a/CHANGES.rst b/CHANGES.rst index 171a331106..80171e70f2 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -8,7 +8,6 @@ - Deprecate use of python 3.8 with PypeIt, allow python 3.11 - Make pypeit_show_2dspec (somewhat) backwards compatible. - Added the option to disable strict version checking for 1d coadds. -- Sensitivity function masking and output updates - Hotfix for KCWI when using alignment (aka ContBars) frames for the astrometric correction. - Sensitivity function masking and output updates From 01d86bb0decb64a9717e559aa09348c750b515bb Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 19 Apr 2023 07:46:55 -0700 Subject: [PATCH 250/308] TODO --- pypeit/tests/test_calibrations.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pypeit/tests/test_calibrations.py b/pypeit/tests/test_calibrations.py index 06bc54d866..c1620f1467 100644 --- a/pypeit/tests/test_calibrations.py +++ b/pypeit/tests/test_calibrations.py @@ -192,6 +192,7 @@ def test_asn_calib_ID_dict(multi_caliBrate): assert len(asn['arc']['proc']) == 2, \ 'Should be 2 processed calibration frames associated with the raw arc frames.' + # TODO: Why does THIS pass the windows CI but the one above doesn't ?!?!?! arc_file = Path(asn['arc']['proc'][0]).name assert arc_file == 'Arc_A_0_DET01.fits', 'Wrong calibration arc frame name' From 9b6b7d9068dc1209e7fc5ef588a44ace328fde07 Mon Sep 17 00:00:00 2001 From: deborape Date: Wed, 19 Apr 2023 16:55:16 -1000 Subject: [PATCH 251/308] add 1/N to image scale --- pypeit/images/combineimage.py | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/pypeit/images/combineimage.py b/pypeit/images/combineimage.py index f10daf9cac..92dd28faeb 100644 --- a/pypeit/images/combineimage.py +++ b/pypeit/images/combineimage.py @@ -273,8 +273,9 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr sigrej=sigrej, maxiters=maxiters) comb_img, comb_scl = img_list_out comb_rn2, comb_basev = var_list_out - comb_rn2[gpm] /= comb_scl[gpm]**2 - comb_basev[gpm] /= comb_scl[gpm]**2 + # Divide by the number of images that contributed to each pixel + comb_scl[gpm] /= nstack[gpm] + elif combine_method == 'median': bpm_stack = np.logical_not(gpm_stack) nstack = np.sum(gpm_stack, axis=0) @@ -289,18 +290,18 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr comb_basev = np.ma.sum(np.ma.MaskedArray(basev_stack, mask=bpm_stack),axis=0).filled(0.) # Convert to standard error in the median (pi/2 factor relates standard variance # in mean (sum(variance_i)/n^2) to standard variance in median) - comb_rn2[gpm] *= np.pi/2/nstack[gpm]**2/comb_scl[gpm]**2 - comb_basev[gpm] *= np.pi/2/nstack[gpm]**2/comb_scl[gpm]**2 + comb_rn2[gpm] *= np.pi/2/nstack[gpm]**2 + comb_basev[gpm] *= np.pi/2/nstack[gpm]**2 + # Divide by the number of images that contributed to each pixel + comb_scl[gpm] *= np.pi/2/nstack[gpm] else: # NOTE: Given the check at the beginning of the function, the code # should *never* make it here. msgs.error("Bad choice for combine. Allowed options are 'median', 'mean'.") - comb_img_forvar = comb_img.copy() - comb_img_forvar[gpm] /= nstack[gpm] # Recompute the inverse variance using the combined image comb_var = procimg.variance_model(comb_basev, - counts=comb_img_forvar if self.par['shot_noise'] else None, + counts=comb_img if self.par['shot_noise'] else None, count_scale=comb_scl, noise_floor=self.par['noise_floor']) From 87c38983c953980185ae509a0c78d4d8b40244de Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Thu, 20 Apr 2023 18:59:35 -0700 Subject: [PATCH 252/308] bug fix --- pypeit/flatfield.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 44edd4ce84..48829fce0a 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -604,7 +604,7 @@ def run(self, doqa=False, debug=False, show=False): self.rawflatimg.image = rawflat_orig * utils.inverse(det_resp_model) if doqa: # TODO :: Probably need to pass in det when more spectrographs implement a structure correction... - outfile = qa.set_qa_filename("DetectorStructure_" + self.master_key, 'detector_structure', + outfile = qa.set_qa_filename("DetectorStructure_" + self.calib_key, 'detector_structure', det="DET01", out_dir=self.qa_path) detector_structure_qa(det_resp, det_resp_model, outfile=outfile) # Perform a 2D fit with the cleaned image From 2aa031f29c9a874d9ee130dbdfd01e9de83007c3 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 21 Apr 2023 11:08:51 -0700 Subject: [PATCH 253/308] PR comments + review --- doc/calibrations/calibrations.rst | 3 ++ doc/calibrations/tilt.rst | 2 +- doc/calibrations/wave_calib.rst | 2 +- doc/calibrations/wavetilts.rst | 2 +- pypeit/calibframe.py | 49 +++++++++++++------------------ pypeit/calibrations.py | 18 +++++------- pypeit/edgetrace.py | 19 ++++++------ 7 files changed, 43 insertions(+), 52 deletions(-) diff --git a/doc/calibrations/calibrations.rst b/doc/calibrations/calibrations.rst index 34b5d048b8..bc7d175a08 100644 --- a/doc/calibrations/calibrations.rst +++ b/doc/calibrations/calibrations.rst @@ -60,6 +60,9 @@ used for the calibration of the third science frame. - There is currently a limit of no more than 63 calibration groups. + - Calibration frames can be assigned to multiple calibration groups, but + science frames can only be assigned to *one* calibration group. + .. _calibrations-calibfile: ".calib" File diff --git a/doc/calibrations/tilt.rst b/doc/calibrations/tilt.rst index 25abd7cdab..12724b924b 100644 --- a/doc/calibrations/tilt.rst +++ b/doc/calibrations/tilt.rst @@ -27,7 +27,7 @@ You can view it with any standard image viewer, e.g.: .. code-block:: console - ginga Calibrations/Tilt_A_1_01.fits + ginga Calibrations/Tiltimg_A_1_01.fits Most often you use only one tilt frame and this appears very similar to the raw image. If you do stack several, diff --git a/doc/calibrations/wave_calib.rst b/doc/calibrations/wave_calib.rst index 9f84089cfd..01130132b5 100644 --- a/doc/calibrations/wave_calib.rst +++ b/doc/calibrations/wave_calib.rst @@ -188,7 +188,7 @@ with PypeIt. The basic steps are: The code is guided by the :class:`~pypeit.wavecalib.WaveCalib` class, partially described by `this notebook -`__ +`__ (BEWARE, this may be out of date). For the primary step (#3), we have developed several diff --git a/doc/calibrations/wavetilts.rst b/doc/calibrations/wavetilts.rst index c8765ea722..239a10e83f 100644 --- a/doc/calibrations/wavetilts.rst +++ b/doc/calibrations/wavetilts.rst @@ -33,7 +33,7 @@ Here is the code flow: .. https://github.com/treebeardtech/nbmake See the `WaveTilts Notebook -`__ for +`__ for some examples (BEWARE, this may be out of date). QA diff --git a/pypeit/calibframe.py b/pypeit/calibframe.py index 539e9216e9..7b648a8bdc 100644 --- a/pypeit/calibframe.py +++ b/pypeit/calibframe.py @@ -103,7 +103,7 @@ def set_paths(self, odir, setup, calib_id, detname): calibration frame. Strings (either as individually entered or as elements of a provided list) can be single or comma-separated integers. Otherwise, all strings must be convertible to - integers, with the only exception is the string 'all'. + integers; the only exception is the string 'all'. detname (:obj:`str`): The identifier used for the detector or detector mosaic for the relevant instrument; see @@ -120,7 +120,7 @@ def set_paths(self, odir, setup, calib_id, detname): def copy_calib_internals(self, other): """ - Copy the internals from this :class:`CalibFrame` to another. + Copy the internals from another :class:`CalibFrame` to this one. Args: other (:class:`CalibFrame`): @@ -239,15 +239,16 @@ def parse_key_dir(inp, from_filename=False): ext = h.name break if ext is None: - msgs.error(f'None of the headers in {inp} have CALIBKEY or CALIBDIR keywords!') + msgs.error(f'None of the headers in {inp} have both CALIBKEY and CALIBDIR ' + 'keywords!') return hdu[ext].header['CALIBKEY'], hdu[ext].header['CALIBDIR'] if isinstance(inp, fits.Header): if 'CALIBKEY' not in inp or 'CALIBDIR' not in inp: - msgs.error('Header does not include CALIBKEY or CALIBDIR.') + msgs.error('Header does not include CALIBKEY and/or CALIBDIR.') return inp['CALIBKEY'], inp['CALIBDIR'] - msgs.error('Input object must have type str or astropy.io.fits.Header, not {type(inp)}.') + msgs.error(f'Input object must have type str or astropy.io.fits.Header, not {type(inp)}.') @staticmethod def ingest_calib_id(calib_id): @@ -260,7 +261,7 @@ def ingest_calib_id(calib_id): calibration frame. Strings (either as individually entered or as elements of a provided list) can be single or comma-separated integers. Otherwise, all strings must be convertible to - integers, with the only exception is the string 'all'. + integers; the only exception is the string 'all'. Returns: :obj:`list`: List of string representations of single calibration @@ -277,7 +278,8 @@ def ingest_calib_id(calib_id): ['1', '2'] >>> CalibFrame.ingest_calib_id(['1,2', '5,8', '3']) ['1', '2', '3', '5', '8'] - >>> CalibFrame.ingest_calib_id([2, 1, 2]) == ['1', '2'] + >>> CalibFrame.ingest_calib_id([2, 1, 2]) + ['1', '2'] """ if isinstance(calib_id, str): @@ -306,10 +308,11 @@ def construct_calib_key(setup, calib_id, detname): Construct the identifier used for a given set of calibrations. The identifier is the combination of the configuration, the calibration - group, and the detector. The configuration ID is the same as included - in the configuration column (A, B, C, etc), the calibration group is a - dash-separated list of the calibration group identifiers or "all", and - the detector/mosaic identifier (see + group(s), and the detector. The configuration ID is the same as + included in the configuration column (A, B, C, etc), the calibration + group is a dash-separated list of the calibration group identifiers or + "all", and the detector/mosaic identifier (e.g., DET01, MSC02) is set by + the detector number or mosaic tuple (see :func:`~pypeit.spectrographs.spectrograph.Spectrograph.get_det_name`). Args: @@ -318,7 +321,7 @@ def construct_calib_key(setup, calib_id, detname): see :func:`~pypeit.metadata.PypeItMetaData.unique_configurations`. calib_id (:obj:`str`, :obj:`list`, :obj:`int`): Identifiers for one or more calibration groups for this - calibration frame. See :func:`CalibFrame.ingest_calib_id`. + calibration frame. See :func:`ingest_calib_id`. detname (:obj:`str`): The identifier used for the detector or detector mosaic for the relevant instrument; see @@ -327,8 +330,7 @@ def construct_calib_key(setup, calib_id, detname): Returns: :obj:`str`: Calibration identifier. """ - _calib_id = CalibFrame.ingest_calib_id(calib_id) - return f'{setup}_{"-".join(_calib_id)}_{detname}' + return f'{setup}_{"-".join(CalibFrame.ingest_calib_id(calib_id))}_{detname}' @staticmethod def parse_calib_key(calib_key): @@ -361,7 +363,8 @@ def construct_file_name(cls, calib_key, calib_dir=None): directory. Returns: - :obj:`str`, `Path`_: File path or file name + :obj:`str`, `Path`_: File path if ``calib_dir`` is provided, + otherwise the file name """ if None in [cls.calib_type, cls.calib_file_format]: msgs.error(f'CODING ERROR: {cls.__name__} does not have all ' @@ -398,20 +401,14 @@ def _base_header(self, hdr=None): Returns: `astropy.io.fits.Header`_: The new/edited fits header. """ - # Standard init _hdr = super()._base_header(hdr=hdr) - - # Save the calibration frame type and key and version, in case the file - # name is changed. _hdr['CALIBTYP'] = (self.calib_type, 'PypeIt: Calibration frame type') if self.calib_dir is not None: _hdr['CALIBDIR'] = (self.calib_dir, 'PypeIt: Calibration file directory') if self.calib_key is not None: _hdr['CALIBKEY'] = (self.calib_key, 'PypeIt: Calibration key') if self.calib_id is not None: - _hdr['CALIBID'] = (','.join(self.calib_id), 'PypeIt: Calibration key') - - # Return + _hdr['CALIBID'] = (','.join(self.calib_id), 'PypeIt: Calibration groups') return _hdr @classmethod @@ -432,7 +429,8 @@ def glob(cls, calib_dir, setup, calib_id, detname=None): Returns: :obj:`list`: List of paths to applicable calibration files. If no - relevant files are found, None is returned. + relevant files are found or if ``calib_dir`` is not an existing + directory, None is returned. """ # Check the path exists _calib_dir = Path(calib_dir).resolve() @@ -462,8 +460,3 @@ def glob(cls, calib_dir, setup, calib_id, detname=None): # Return the applicable calibrations return files[keep].tolist() if any(keep) else None - - - - - diff --git a/pypeit/calibrations.py b/pypeit/calibrations.py index e60b977017..3e958b479b 100644 --- a/pypeit/calibrations.py +++ b/pypeit/calibrations.py @@ -48,7 +48,7 @@ class Calibrations: spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph object caldir (:obj:`str`, `Path`_): - Path to write the output calibrations. + Path for the processed calibration files. qadir (:obj:`str`, optional): Path for quality assessment output. If not provided, no QA plots are saved. @@ -57,7 +57,7 @@ class Calibrations: disk if they exist. show (:obj:`bool`, optional): Show plots of PypeIt's results as the code progresses. Requires - interaction from the users. + interaction from the user. user_slits (:obj:`dict`, optional): A limited set of slits selected by the user for analysis. See :func:`~pypeit.slittrace.SlitTraceSet.user_mask`. @@ -70,9 +70,9 @@ class Calibrations: spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): See instantiation arguments. calib_dir (`Path`_): - Path to write the output calibrations. + Path for the processed calibration files. qa_path (`Path`_): - Path to write the QA. + Path for the QA diagnostics. reuse_calibs (:obj:`bool`): See instantiation arguments. show (:obj:`bool`): @@ -266,24 +266,20 @@ def set_config(self, frame, det, par=None): Args: frame (:obj:`int`): - Frame index in the fitstbl + The row index in :attr:`fitstbl` with the frame to calibrate. det (:obj:`int`): - Detector number + Detector number. par (:class:`~pypeit.par.pypeitpar.CalibrationsPar`, optional): Parameters used by the calibration procedures. If None, use :attr:`par`. """ - # Reset internals to None - # NOTE: This sets calib_ID so must - # be done here first before these things are initialized below. - # Initialize for this setup self.frame = frame # Find the calibration groups associated with this frame. Note # find_frame_calib_groups *always* returns a list. Science frames only # have one calibration group, but calibration frames can have many. So # for both science and calibration frames, we just set the calibration - # group to the first in the returned list. + # group to the first group in the returned list. self.calib_ID = self.fitstbl.find_frame_calib_groups(self.frame)[0] self.det = det if par is not None: diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index e87eb95bfd..b8455f3f64 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -258,14 +258,14 @@ class EdgeTraceSet(calibframe.CalibFrame): - Provide some guidance for the parameters to use. Args: - traceimg (:class:`pypeit.images.buildimage.TraceImage`): + traceimg (:class:`~pypeit.images.buildimage.TraceImage`): Two-dimensional image used to trace slit edges. The object provides the image, the bad-pixel mask, the detector information, and (one of) the original raw file name when matching slits to a design file. - spectrograph (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): The object that sets the instrument used to take the observations. Used to set :attr:`spectrograph`. - par (:class:`pypeit.par.pypeitpar.EdgeTracePar`): + par (:class:`~pypeit.par.pypeitpar.EdgeTracePar`): The parameters used to guide slit tracing. Used to set :attr:`par`. qa_path (:obj:`str`, optional): @@ -284,18 +284,18 @@ class EdgeTraceSet(calibframe.CalibFrame): Attributes: traceimg - (:class:`pypeit.images.buildcalibration.TraceImage`): + (:class:`~pypeit.images.buildcalibration.TraceImage`): See argument list. spectrograph - (:class:`pypeit.spectrographs.spectrograph.Spectrograph`): + (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): See argument list. - par (:class:`pypeit.par.pypeitpar.EdgeTracePar`): + par (:class:`~pypeit.par.pypeitpar.EdgeTracePar`): See argument list. files (:obj:`list`): The list of raw files used to construct the trace image (:attr:`img`). Only defined if argument `img` in :func:`initial_trace` or :func:`auto_trace` is a - :class:`pypeit.images.buildcalibration.TraceImage` object. + :class:`~pypeit.images.buildcalibration.TraceImage` object. img (`numpy.ndarray`_): Convenience for now. det (:obj:`int`): @@ -342,7 +342,7 @@ class EdgeTraceSet(calibframe.CalibFrame): fittype (:obj:`str`): An informational string identifier for the type of model used to fit the trace data. - pca (:obj:`list`, :class:`pypeit.tracepca.TracePCA`): + pca (:obj:`list`, :class:`~pypeit.tracepca.TracePCA`): Result of a PCA decomposition of the edge traces, used to predict new traces. This can either be a single :class:`pypeit.tracepca.TracePCA` object or a list of two @@ -434,8 +434,7 @@ class EdgeTraceSet(calibframe.CalibFrame): """ datamodel = {'PYP_SPEC': dict(otype=str, descr='PypeIt spectrograph name'), - 'dispname': dict(otype=str, - descr='Spectrograph disperser name.'), + 'dispname': dict(otype=str, descr='Spectrograph disperser name.'), 'traceimg': dict(otype=TraceImage, descr='Image used to construct the edge traces; see ' ':class:`~pypeit.images.buildimage.TraceImage` and ' From 6aed0735bbf1aa911ed8b69c88bbb0ea385b9b81 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 21 Apr 2023 11:49:22 -0700 Subject: [PATCH 254/308] turn off fine correction for soar_goodman_red --- pypeit/spectrographs/soar_goodman.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index 58fff0cfc2..10fbc36926 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -331,6 +331,10 @@ def default_pypeit_par(cls): #par['sensfunc']['algorithm'] = 'IR' par['sensfunc']['IR']['telgridfile'] = 'TelFit_LasCampanas_3100_26100_R20000.fits' + # TODO: Temporary fix for failure mode. Remove once Ryan provides a + # fix. + par['calibrations']['flatfield']['slit_illum_finecorr'] = False + return par From 47aff1dc3759bfad15414b8053140c5f6118e112 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Wed, 26 Apr 2023 20:32:19 -1000 Subject: [PATCH 255/308] fix it --- pypeit/core/wavecal/wvutils.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/pypeit/core/wavecal/wvutils.py b/pypeit/core/wavecal/wvutils.py index dd15f39d7e..bffa05637c 100644 --- a/pypeit/core/wavecal/wvutils.py +++ b/pypeit/core/wavecal/wvutils.py @@ -399,10 +399,10 @@ def zerolag_shift_stretch(theta, y1, y2): # Zero lag correlation corr_zero = np.sum(y1*y2_corr) corr_denom = np.sqrt(np.sum(y1*y1)*np.sum(y2_corr*y2_corr)) - corr_norm = corr_zero/corr_denom if corr_denom == 0.0: msgs.warn('The shifted and stretched spectrum is zero everywhere. Cross-correlation cannot be performed. There is likely a bug somewhere') raise PypeItError() + corr_norm = corr_zero / corr_denom return -corr_norm @@ -521,6 +521,10 @@ def xcorr_shift(inspec1, inspec2, percent_ceil=50.0, use_raw_arc=False, sigdetec else: y1, y2 = inspec1, inspec2 + if np.all(y1 == 0) or np.all(y2 == 0): + msgs.warn('One of the input spectra is all zeros. Returning shift = 0.0') + return 0.0, 0.0 + nspec = y1.shape[0] lags = np.arange(-nspec + 1, nspec) corr = scipy.signal.correlate(y1, y2, mode='full') @@ -540,9 +544,9 @@ def xcorr_shift(inspec1, inspec2, percent_ceil=50.0, use_raw_arc=False, sigdetec plt.legend() plt.show() - return lag_max[0], corr_max[0] + def xcorr_shift_stretch(inspec1, inspec2, cc_thresh=-1.0, percent_ceil=50.0, use_raw_arc=False, shift_mnmx=(-0.2,0.2), stretch_mnmx=(0.95,1.05), sigdetect = 5.0, sig_ceil=10.0, fwhm = 4.0, debug=False, toler=1e-5, seed = None): From 003d48d6987adda49438035d63d52fedb50a49a5 Mon Sep 17 00:00:00 2001 From: rcooke Date: Thu, 27 Apr 2023 20:42:28 +0100 Subject: [PATCH 256/308] add total illumflat --- pypeit/flatfield.py | 31 +++++++++++++++++++------------ 1 file changed, 19 insertions(+), 12 deletions(-) diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 572a5bf165..a7614637f3 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -384,6 +384,7 @@ def show(self, frametype='all', slits=None, wcs_match=True): """ illumflat_pixel, illumflat_illum = None, None pixelflat_finecorr, illumflat_finecorr = None, None + pixelflat_totalillum, illumflat_totalillum = None, None # Try to grab the slits if slits is None: # Warning: This parses the filename, not the Header! @@ -403,29 +404,35 @@ def show(self, frametype='all', slits=None, wcs_match=True): if self.illumflat_finecorr is not None: illumflat_finecorr = self.fit2illumflat(slits, frametype='illum', finecorr=True) + # Construct a total illumination flat if the fine correction has been computed + if pixelflat_finecorr is not None: + pixelflat_totalillum = illumflat_pixel*pixelflat_finecorr + if illumflat_finecorr is not None: + illumflat_totalillum = illumflat_illum*illumflat_finecorr + # Decide which frames should be displayed if frametype == 'pixel': - image_list = zip([self.pixelflat_norm, illumflat_pixel, pixelflat_finecorr, + image_list = zip([self.pixelflat_norm, illumflat_pixel, pixelflat_finecorr, pixelflat_totalillum, self.pixelflat_raw, self.pixelflat_model, self.pixelflat_spec_illum], - ['pixelflat_norm', 'pixelflat_spat_illum', 'pixelflat_finecorr', + ['pixelflat_norm', 'pixelflat_spat_illum', 'pixelflat_finecorr', 'pixelflat_totalillum', 'pixelflat_raw', 'pixelflat_model', 'pixelflat_spec_illum'], - [(0.9, 1.1), (0.9, 1.1), (0.95, 1.05), + [(0.9, 1.1), (0.9, 1.1), (0.95, 1.05), (0.9, 1.1), None, None, (0.8, 1.2)]) elif frametype == 'illum': - image_list = zip([illumflat_illum, illumflat_finecorr, self.illumflat_raw], - ['illumflat_spat_illum', 'illumflat_finecorr', 'illumflat_raw'], - [(0.9, 1.1), (0.95, 1.05), None]) + image_list = zip([illumflat_illum, illumflat_finecorr, illumflat_totalillum, self.illumflat_raw], + ['illumflat_spat_illum', 'illumflat_finecorr', 'illumflat_totalillum', 'illumflat_raw'], + [(0.9, 1.1), (0.95, 1.05), (0.9, 1.1), None]) else: # Show everything that's available (anything that is None will not be displayed) - image_list = zip([self.pixelflat_norm, illumflat_pixel, pixelflat_finecorr, + image_list = zip([self.pixelflat_norm, illumflat_pixel, pixelflat_finecorr, pixelflat_totalillum, self.pixelflat_raw, self.pixelflat_model, self.pixelflat_spec_illum, - illumflat_illum, illumflat_finecorr, self.illumflat_raw], - ['pixelflat_norm', 'pixelflat_spat_illum', 'pixelflat_finecorr', + illumflat_illum, illumflat_finecorr, illumflat_totalillum, self.illumflat_raw], + ['pixelflat_norm', 'pixelflat_spat_illum', 'pixelflat_finecorr', 'pixelflat_totalillum', 'pixelflat_raw', 'pixelflat_model', 'pixelflat_spec_illum', - 'illumflat_spat_illum', 'illumflat_finecorr', 'illumflat_raw'], - [(0.9, 1.1), (0.9, 1.1), (0.95, 1.05), + 'illumflat_spat_illum', 'illumflat_finecorr', 'illumflat_totalillum', 'illumflat_raw'], + [(0.9, 1.1), (0.9, 1.1), (0.95, 1.05), (0.9, 1.1), None, None, (0.8, 1.2), - (0.9, 1.1), (0.95, 1.05), None]) + (0.9, 1.1), (0.95, 1.05), (0.9, 1.1), None]) # Display frames show_flats(image_list, wcs_match=wcs_match, slits=slits, waveimg=self.pixelflat_waveimg) From b7acdebaeede1643600c2568563464227e7db505 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Thu, 27 Apr 2023 18:30:27 -1000 Subject: [PATCH 257/308] updated docs --- doc/calibrations/image_proc.rst | 5 +++-- pypeit/core/extract.py | 8 ++++++-- pypeit/core/procimg.py | 24 +++++++++++++++--------- pypeit/core/skysub.py | 10 +++++++--- 4 files changed, 31 insertions(+), 16 deletions(-) diff --git a/doc/calibrations/image_proc.rst b/doc/calibrations/image_proc.rst index 46c04f89fe..b9f6ded9de 100644 --- a/doc/calibrations/image_proc.rst +++ b/doc/calibrations/image_proc.rst @@ -39,9 +39,10 @@ where: regions, - :math:`B` is a longer-term pixel-by-pixel bias estimate (in ADU after overscan subtraction) using bias images, - - the quantity :math:`C=c/s` is the number of electron counts excited by + - the quantity :math:`C=N_{\rm frames}\ c/s\prime=c/s` is the number of electron counts excited by photons hitting the detector, - - :math:`1/s` is an efficiency factor (one of many) that accounts for relative + - :math:`1/s=N_{\rm frames}/s\prime` is a factor that accounts for the number + of frames contributing to the electron counts, and the relative throughput factors (see below) that can be measured from flat-field frames, - :math:`D` is the dark-current, i.e., the rate at which the detector generates thermal electrons, in e-/pixel/s, diff --git a/pypeit/core/extract.py b/pypeit/core/extract.py index 91f67b4f67..d7f3022e68 100644 --- a/pypeit/core/extract.py +++ b/pypeit/core/extract.py @@ -88,7 +88,9 @@ def extract_optimal(sciimg, ivar, mask, waveimg, skyimg, thismask, oprof, Must have the same shape as ``sciimg``, :math:`(N_{\rm spec}, N_{\rm spat})`. count_scale : :obj:`float` or `numpy.ndarray`_, optional A scale factor, :math:`s`, that *has already been applied* to the - provided science image. For example, if the image has been flat-field + provided science image. It accounts for the number of frames contributing to + the provided counts, and the relative throughput factors that can be measured + from flat-field frames. For example, if the image has been flat-field corrected, this is the inverse of the flat-field counts. If None, set to 1. If a single float, assumed to be constant across the full image. If an array, the shape must match ``base_var``. The variance will be 0 @@ -342,7 +344,9 @@ def extract_boxcar(sciimg, ivar, mask, waveimg, skyimg, spec, base_var=None, Must have the same shape as ``sciimg``, :math:`(N_{\rm spec}, N_{\rm spat})`. count_scale : :obj:`float` or `numpy.ndarray`_, optional A scale factor, :math:`s`, that *has already been applied* to the - provided science image. For example, if the image has been flat-field + provided science image. It accounts for the number of frames contributing to + the provided counts, and the relative throughput factors that can be measured + from flat-field frames. For example, if the image has been flat-field corrected, this is the inverse of the flat-field counts. If None, set to 1. If a single float, assumed to be constant across the full image. If an array, the shape must match ``base_var``. The variance will be 0 diff --git a/pypeit/core/procimg.py b/pypeit/core/procimg.py index 480898b126..8d8aeabb08 100644 --- a/pypeit/core/procimg.py +++ b/pypeit/core/procimg.py @@ -1113,7 +1113,8 @@ def base_variance(rn_var, darkcurr=None, exptime=None, proc_var=None, count_scal - :math:`c=s\ C` are the rescaled observed sky + object counts, - :math:`C` is the observed number of sky + object counts, - :math:`s` is a scale factor derived from the (inverse of the) - flat-field frames (see ``count_scale``), + flat-field frames plus the number of frames contributing + to the object counts (see ``count_scale``), - :math:`D` is the dark current in electrons per **hour** (see ``darkcurr``), - :math:`t_{\rm exp}` is the effective exposure time in seconds (see @@ -1183,10 +1184,12 @@ def base_variance(rn_var, darkcurr=None, exptime=None, proc_var=None, count_scal array, the shape must match ``rn_var``. count_scale (:obj:`float`, `numpy.ndarray`_, optional): A scale factor that *has already been applied* to the provided - counts. For example, if the image has been flat-field corrected, - this is the inverse of the flat-field counts. If None, set to 1. - If a single float, assumed to be constant across the full image. If - an array, the shape must match ``rn_var``. The variance will be 0 + counts. It accounts for the number of frames contributing to + the provided counts, and the relative throughput factors that + can be measured from flat-field frames. For example, if the image + has been flat-field corrected, this is the inverse of the flat-field counts. + If None, set to 1. If a single float, assumed to be constant across the full image. + If an array, the shape must match ``rn_var``. The variance will be 0 wherever :math:`s \leq 0`, modulo the provided ``noise_floor``. Returns: @@ -1240,7 +1243,8 @@ def variance_model(base, counts=None, count_scale=None, noise_floor=None): ``counts``), - :math:`C` is the observed number of sky + object counts, - :math:`s` is a scale factor derived from the (inverse of the) - flat-field frames (see ``count_scale``), + flat-field frames plus the number of frames contributing + to the object counts (see ``count_scale``), - :math:`D` is the dark current in electrons per **hour**, - :math:`t_{\rm exp}` is the effective exposure time in seconds, - :math:`V_{\rm rn}` is the detector readnoise variance (i.e., @@ -1298,9 +1302,11 @@ def variance_model(base, counts=None, count_scale=None, noise_floor=None): ``base``. Shape must match ``base``. count_scale (:obj:`float`, `numpy.ndarray`_, optional): A scale factor that *has already been applied* to the provided - counts; see :math:`s` in the equations above. For example, if the - image has been flat-field corrected, this is the inverse of the - flat-field counts. If None, no scaling is expected, meaning + counts; see :math:`s` in the equations above. It accounts for + the number of frames contributing to the provided counts, and + the relative throughput factors that can be measured from flat-field frames. + For example, if the image has been flat-field corrected, this is the inverse + of the flat-field counts. If None, no scaling is expected, meaning ``counts`` are exactly the observed detector counts. If a single float, assumed to be constant across the full image. If an array, the shape must match ``base``. The variance will be 0 wherever diff --git a/pypeit/core/skysub.py b/pypeit/core/skysub.py index 4fb7f8a1b9..bca9cf2c54 100644 --- a/pypeit/core/skysub.py +++ b/pypeit/core/skysub.py @@ -688,7 +688,9 @@ def local_skysub_extract(sciimg, sciivar, tilts, waveimg, global_sky, thismask, :func:`~pypeit.core.procimg.base_variance`. count_scale : :obj:`float`, `numpy.ndarray`_, optional A scale factor, :math:`s`, that *has already been applied* to the - provided science image. For example, if the image has been flat-field + provided science image. It accounts for the number of frames contributing to + the provided counts, and the relative throughput factors that can be measured + from flat-field frames. For example, if the image has been flat-field corrected, this is the inverse of the flat-field counts. If None, set to 1. If a single float, assumed to be constant across the full image. If an array, the shape must match ``base_var``. The variance will be 0 @@ -1171,8 +1173,10 @@ def ech_local_skysub_extract(sciimg, sciivar, fullmask, tilts, waveimg, :func:`~pypeit.core.procimg.base_variance`. count_scale : :obj:`float`, `numpy.ndarray`_, optional A scale factor that *has already been applied* to the provided science - image. For example, if the image has been flat-field corrected, this is - the inverse of the flat-field counts. If None, set to 1. If a single + image. It accounts for the number of frames contributing to + the provided counts, and the relative throughput factors that can be measured + from flat-field frames. For example, if the image has been flat-field corrected, + this is the inverse of the flat-field counts. If None, set to 1. If a single float, assumed to be constant across the full image. If an array, the shape must match ``base_var``. The variance will be 0 wherever this array is not positive, modulo the provided ``adderr``. This is one of From 930e646f5ae1da5b5d26c90f7892a3fdb2cd8f76 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Thu, 27 Apr 2023 18:37:27 -1000 Subject: [PATCH 258/308] typo --- doc/calibrations/image_proc.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/calibrations/image_proc.rst b/doc/calibrations/image_proc.rst index b9f6ded9de..3407a6002d 100644 --- a/doc/calibrations/image_proc.rst +++ b/doc/calibrations/image_proc.rst @@ -42,7 +42,7 @@ where: - the quantity :math:`C=N_{\rm frames}\ c/s\prime=c/s` is the number of electron counts excited by photons hitting the detector, - :math:`1/s=N_{\rm frames}/s\prime` is a factor that accounts for the number - of frames contributing to the electron counts, and the relative + of frames contributing to the electron counts, and the relative throughput factors (see below) that can be measured from flat-field frames, - :math:`D` is the dark-current, i.e., the rate at which the detector generates thermal electrons, in e-/pixel/s, From 33a5db41e9af1cdc3145d5855b20fc8c4ae43eec Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 28 Apr 2023 08:05:19 -0700 Subject: [PATCH 259/308] quicklook --- doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 2 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 2 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 2 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_calibs.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 2 +- doc/help/pypeit_ql_multislit.rst | 2 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 2 +- doc/help/pypeit_setup_coadd2d.rst | 8 +- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 2 +- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 4 +- doc/installing.rst | 18 ++ doc/known_failure_modes.rst | 18 ++ doc/pypeit_par.rst | 6 +- doc/quicklook.rst | 170 ++++++++++++++--- doc/scripts.rst | 9 + pypeit/find_objects.py | 2 +- pypeit/flatfield.py | 11 +- pypeit/images/buildimage.py | 2 +- pypeit/inputfiles.py | 2 +- pypeit/metadata.py | 225 +++++++++++----------- pypeit/par/pypeitpar.py | 27 +-- pypeit/pypeit.py | 70 +++---- pypeit/pypeitsetup.py | 70 ++++--- pypeit/pypmsgs.py | 1 - pypeit/scripts/chk_wavecalib.py | 2 + pypeit/scripts/coadd_2dspec.py | 2 +- pypeit/scripts/parse_slits.py | 2 + pypeit/scripts/ql.py | 240 ++++++++++++++++++------ pypeit/scripts/run_pypeit.py | 12 +- pypeit/scripts/setup_coadd2d.py | 16 +- pypeit/scripts/trace_edges.py | 8 +- pypeit/spectrographs/gtc_osiris.py | 2 +- pypeit/spectrographs/keck_mosfire.py | 61 +++--- pypeit/spectrographs/spectrograph.py | 138 +++++++------- pypeit/tests/test_calibframe.py | 7 +- pypeit/tests/test_metadata.py | 17 ++ pypeit/tests/test_ql.py | 59 ++++++ pypeit/tests/test_spectrographs.py | 33 ++++ pypeit/tests/test_utils.py | 14 +- pypeit/tests/tstutils.py | 2 +- pypeit/utils.py | 5 +- setup.cfg | 2 +- 71 files changed, 862 insertions(+), 477 deletions(-) create mode 100644 pypeit/tests/test_ql.py diff --git a/doc/help/pypeit_cache_github_data.rst b/doc/help/pypeit_cache_github_data.rst index 5948f93d00..2edc890ebc 100644 --- a/doc/help/pypeit_cache_github_data.rst +++ b/doc/help/pypeit_cache_github_data.rst @@ -25,7 +25,7 @@ vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - options: + optional arguments: -h, --help show this help message and exit --force_update Force download of GitHub file (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index a68e12c7ca..440eb0b0ef 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits] - options: + optional arguments: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: Alignments) \ No newline at end of file diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index 4476e1d79d..f226c14e5a 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -8,7 +8,7 @@ positional arguments: trace_file PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz] - options: + optional arguments: -h, --help show this help message and exit --mpl Use a matplotlib window instead of ginga to show the trace (default: False) diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index 91f2178cb3..fc04d50177 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Flat file [e.g. Flat_A_1_DET01.fits] - options: + optional arguments: -h, --help show this help message and exit --type TYPE Which flats to display. Must be one of: pixel, illum, all (default: all) diff --git a/doc/help/pypeit_chk_for_calibs.rst b/doc/help/pypeit_chk_for_calibs.rst index 34b2c930bc..c48c189260 100644 --- a/doc/help/pypeit_chk_for_calibs.rst +++ b/doc/help/pypeit_chk_for_calibs.rst @@ -10,7 +10,7 @@ positional arguments: root File path+root, e.g. /data/Kast/b - options: + optional arguments: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_chk_noise_1dspec.rst b/doc/help/pypeit_chk_noise_1dspec.rst index 80fa4e2613..6d8b176f81 100644 --- a/doc/help/pypeit_chk_noise_1dspec.rst +++ b/doc/help/pypeit_chk_noise_1dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec1d file(s) (default: None) - options: + optional arguments: -h, --help show this help message and exit --fileformat FILEFORMAT Is this coadd1d or spec1d? (default: spec1d) diff --git a/doc/help/pypeit_chk_noise_2dspec.rst b/doc/help/pypeit_chk_noise_2dspec.rst index fc20909467..d5be3f1c5b 100644 --- a/doc/help/pypeit_chk_noise_2dspec.rst +++ b/doc/help/pypeit_chk_noise_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec2d file(s) (default: None) - options: + optional arguments: -h, --help show this help message and exit --det DET Detector name or number. If a number, the name is constructed assuming the reduction is for a single diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 6835c646a2..75b3317647 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -9,6 +9,6 @@ input_file PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or spec2d file - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_coadd_1dspec.rst b/doc/help/pypeit_coadd_1dspec.rst index 70e09065cf..7cb6e00a1b 100644 --- a/doc/help/pypeit_coadd_1dspec.rst +++ b/doc/help/pypeit_coadd_1dspec.rst @@ -50,7 +50,7 @@ placed in the same directory as the first spec1d file. - options: + optional arguments: -h, --help show this help message and exit --debug show debug plots? --show show QA during coadding process diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index 8da86081cf..f496cbf340 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: coadd2d_file File to guide 2d coadds - options: + optional arguments: -h, --help show this help message and exit --show Show the reduction steps. Equivalent to the -s option when running pypeit. (default: False) diff --git a/doc/help/pypeit_coadd_datacube.rst b/doc/help/pypeit_coadd_datacube.rst index 8443926bdf..d985b4adb1 100644 --- a/doc/help/pypeit_coadd_datacube.rst +++ b/doc/help/pypeit_coadd_datacube.rst @@ -8,7 +8,7 @@ positional arguments: file filename.coadd3d file - options: + optional arguments: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_collate_1d.rst b/doc/help/pypeit_collate_1d.rst index c8ae8adc92..e33778feff 100644 --- a/doc/help/pypeit_collate_1d.rst +++ b/doc/help/pypeit_collate_1d.rst @@ -42,7 +42,7 @@ ... end - options: + optional arguments: -h, --help show this help message and exit --spec1d_files [SPEC1D_FILES ...] One or more spec1d files to flux/coadd/archive. Can diff --git a/doc/help/pypeit_compare_sky.rst b/doc/help/pypeit_compare_sky.rst index 9e2f02f7d1..b76f647862 100644 --- a/doc/help/pypeit_compare_sky.rst +++ b/doc/help/pypeit_compare_sky.rst @@ -12,7 +12,7 @@ file spec1d Spectral file skyfile Archived PypeIt sky file (e.g. paranal_sky.fits) - options: + optional arguments: -h, --help show this help message and exit --exten EXTEN FITS extension (default: None) --optimal Show Optimal? Default is boxcar (default: False) diff --git a/doc/help/pypeit_flux_calib.rst b/doc/help/pypeit_flux_calib.rst index 2794ddf7f3..769f27aae3 100644 --- a/doc/help/pypeit_flux_calib.rst +++ b/doc/help/pypeit_flux_calib.rst @@ -46,7 +46,7 @@ spectrographs: keck_deimos - options: + optional arguments: -h, --help show this help message and exit --debug show debug plots? --par_outfile Output to save the parameters diff --git a/doc/help/pypeit_flux_setup.rst b/doc/help/pypeit_flux_setup.rst index 83b3fbb379..a0dac7e6fe 100644 --- a/doc/help/pypeit_flux_setup.rst +++ b/doc/help/pypeit_flux_setup.rst @@ -8,7 +8,7 @@ positional arguments: sci_path Path for Science folder - options: + optional arguments: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the telluric fitting. The diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index ad46ccf638..4f2b5142e8 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -13,7 +13,7 @@ arc_file PypeIt Arc file slits_file PypeIt Slits file - options: + optional arguments: -h, --help show this help message and exit --lamps LAMPS Comma separated list of calibration lamps (no spaces) (default: None) diff --git a/doc/help/pypeit_install_extinctfile.rst b/doc/help/pypeit_install_extinctfile.rst index 6afa788341..64090f4d10 100644 --- a/doc/help/pypeit_install_extinctfile.rst +++ b/doc/help/pypeit_install_extinctfile.rst @@ -9,6 +9,6 @@ files Filename(s) of the extinction file(s) to be installed in the PypeIt cache - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_linelist.rst b/doc/help/pypeit_install_linelist.rst index be23b96a96..af1bbe414c 100644 --- a/doc/help/pypeit_install_linelist.rst +++ b/doc/help/pypeit_install_linelist.rst @@ -9,6 +9,6 @@ files Filename(s) of the line list files to be installed in the PypeIt cache - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_ql_calibs.rst b/doc/help/pypeit_install_ql_calibs.rst index 9785d3dcf6..0299360259 100644 --- a/doc/help/pypeit_install_ql_calibs.rst +++ b/doc/help/pypeit_install_ql_calibs.rst @@ -6,7 +6,7 @@ Script to install PypeIt QL calibration files - options: + optional arguments: -h, --help show this help message and exit --zip ZIP Zip file of the full QL_CALIB directory downloaded from the PypeIt Google Drive (default: None) diff --git a/doc/help/pypeit_install_telluric.rst b/doc/help/pypeit_install_telluric.rst index 387b524076..8eb93ed9b6 100644 --- a/doc/help/pypeit_install_telluric.rst +++ b/doc/help/pypeit_install_telluric.rst @@ -10,7 +10,7 @@ files Filename(s) of the TelFits files to be downloaded from the Cloud and installed in the PypeIt cache - options: + optional arguments: -h, --help show this help message and exit --force_update Force download of latest version of the telluric grid (default: False) diff --git a/doc/help/pypeit_lowrdx_skyspec.rst b/doc/help/pypeit_lowrdx_skyspec.rst index e1579a96fa..86afed5c96 100644 --- a/doc/help/pypeit_lowrdx_skyspec.rst +++ b/doc/help/pypeit_lowrdx_skyspec.rst @@ -10,6 +10,6 @@ lowrdx_sky LowRedux Sky Spectrum (IDL save file) new_file PYPIT FITS sky spectrum - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_multislit_flexure.rst b/doc/help/pypeit_multislit_flexure.rst index 4e748c2d5e..a12e4d948e 100644 --- a/doc/help/pypeit_multislit_flexure.rst +++ b/doc/help/pypeit_multislit_flexure.rst @@ -19,7 +19,7 @@ outroot Output fileroot for the flexure fits saved as FITS. - options: + optional arguments: -h, --help show this help message and exit --clobber Clobber output files --debug show debug plots? diff --git a/doc/help/pypeit_obslog.rst b/doc/help/pypeit_obslog.rst index 1f6e2b5290..8ca1ccaf68 100644 --- a/doc/help/pypeit_obslog.rst +++ b/doc/help/pypeit_obslog.rst @@ -30,7 +30,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - options: + optional arguments: -h, --help show this help message and exit -r ROOT, --root ROOT Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index f58c4230f4..83ad2223d2 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -8,6 +8,6 @@ positional arguments: input_file Either a spec2D or Slits filename - options: + optional arguments: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_qa_html.rst b/doc/help/pypeit_qa_html.rst index 53e02ef3d0..3d8212496c 100644 --- a/doc/help/pypeit_qa_html.rst +++ b/doc/help/pypeit_qa_html.rst @@ -9,7 +9,7 @@ pypeit_file PYPIT file type QA Type (MF, exp, all) - options: + optional arguments: -h, --help show this help message and exit --qapath QAPATH Path the QA folder including QA/) (default: QA/) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index fc06dac0a5..87964f1b02 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -35,7 +35,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - options: + optional arguments: -h, --help show this help message and exit --raw_files RAW_FILES [RAW_FILES ...] Either a PypeIt-formatted input file with the list of diff --git a/doc/help/pypeit_ql_multislit.rst b/doc/help/pypeit_ql_multislit.rst index ce83350892..05c73563ec 100644 --- a/doc/help/pypeit_ql_multislit.rst +++ b/doc/help/pypeit_ql_multislit.rst @@ -34,7 +34,7 @@ full_rawpath Full path to the raw files files list of frames i.e. img1.fits img2.fits - options: + optional arguments: -h, --help show this help message and exit --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or diff --git a/doc/help/pypeit_sensfunc.rst b/doc/help/pypeit_sensfunc.rst index f7fbd5a38b..98969a583e 100644 --- a/doc/help/pypeit_sensfunc.rst +++ b/doc/help/pypeit_sensfunc.rst @@ -12,7 +12,7 @@ spec1dfile spec1d file for the standard that will be used to compute the sensitivity function - options: + optional arguments: -h, --help show this help message and exit --algorithm {UVIS,IR} Override the default algorithm for computing the diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index 9f1f06aa73..bc5388ff0b 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -8,7 +8,7 @@ Parse data files to construct a pypeit file in preparation for reduction using 'run_pypeit' - options: + optional arguments: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_setup_coadd2d.rst b/doc/help/pypeit_setup_coadd2d.rst index 4294c4d03d..0bde228d82 100644 --- a/doc/help/pypeit_setup_coadd2d.rst +++ b/doc/help/pypeit_setup_coadd2d.rst @@ -11,15 +11,15 @@ positional arguments: pypeit_file PypeIt reduction file - options: + optional arguments: -h, --help show this help message and exit - --keep_par Do not propagate any parameters from the pypeit file to - the coadd2d file(s). If not set, only the required + --keep_par Propagate all parameters from the pypeit file to the + coadd2d file(s). If not set, only the required parameters and their default values are included in the output file(s). (default: True) --obj OBJ [OBJ ...] Limit the coadd2d files created to observations of the specified target. If not provided, a coadd2D file is - written for each target found in the Science directory. + written for each target found in the science directory. The target names are included in the PypeIt spec2d file names.For example, the target for spec2d file "spec2d_cN 20170331S0216-pisco_GNIRS_20170331T085412.181.fits" is diff --git a/doc/help/pypeit_show_1dspec.rst b/doc/help/pypeit_show_1dspec.rst index f137590c50..373447417c 100644 --- a/doc/help/pypeit_show_1dspec.rst +++ b/doc/help/pypeit_show_1dspec.rst @@ -10,7 +10,7 @@ positional arguments: file Spectral file - options: + optional arguments: -h, --help show this help message and exit --list List the extensions only? (default: False) --exten EXTEN FITS extension (default: 1) diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index a100df25e4..d3be9ffd62 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: file Path to a PypeIt spec2d file - options: + optional arguments: -h, --help show this help message and exit --list List the extensions only? (default: False) --det DET Detector name or number. If a number, the name is diff --git a/doc/help/pypeit_show_arxiv.rst b/doc/help/pypeit_show_arxiv.rst index b8cb130a57..994672a54c 100644 --- a/doc/help/pypeit_show_arxiv.rst +++ b/doc/help/pypeit_show_arxiv.rst @@ -8,7 +8,7 @@ positional arguments: file Arxiv filename, e.g. gemini_gmos_r831_ham.fits - options: + optional arguments: -h, --help show this help message and exit --det DET Detector number (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index 43684e9cc2..2b83ff5627 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -10,7 +10,7 @@ file WaveCalib file slit_order Slit or Order number - options: + optional arguments: -h, --help show this help message and exit --slit_file SLIT_FILE Slit file (default: None) diff --git a/doc/help/pypeit_skysub_regions.rst b/doc/help/pypeit_skysub_regions.rst index d5e887fde1..cbaa87e822 100644 --- a/doc/help/pypeit_skysub_regions.rst +++ b/doc/help/pypeit_skysub_regions.rst @@ -10,7 +10,7 @@ positional arguments: file spec2d file - options: + optional arguments: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_tellfit.rst b/doc/help/pypeit_tellfit.rst index 28ae52089d..ca4a4276ab 100644 --- a/doc/help/pypeit_tellfit.rst +++ b/doc/help/pypeit_tellfit.rst @@ -11,7 +11,7 @@ positional arguments: spec1dfile spec1d file that will be used for telluric correction. - options: + optional arguments: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the fitting. The options diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 8a15d76819..9bebeb7c92 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -8,7 +8,7 @@ Trace slit edges - options: + optional arguments: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_view_fits.rst b/doc/help/pypeit_view_fits.rst index 406eb833da..efb4f521d9 100644 --- a/doc/help/pypeit_view_fits.rst +++ b/doc/help/pypeit_view_fits.rst @@ -30,7 +30,7 @@ wht_isis_blue, wht_isis_red file FITS file - options: + optional arguments: -h, --help show this help message and exit --list List the extensions only? (default: False) --proc Process the image (i.e. orient, overscan subtract, diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index 8b5042a38a..2ba61a5e56 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -4,7 +4,7 @@ usage: run_pypeit [-h] [-v VERBOSITY] [-r REDUX_PATH] [-m] [-s] [-o] [-c] pypeit_file - ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev274+ge6743fcc4 + ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.2 ## ## Available spectrographs include: ## bok_bc, gemini_flamingos1, gemini_flamingos2, gemini_gmos_north_e2v, @@ -25,7 +25,7 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - options: + optional arguments: -h, --help show this help message and exit -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all] diff --git a/doc/installing.rst b/doc/installing.rst index 156aaae876..b798721c00 100644 --- a/doc/installing.rst +++ b/doc/installing.rst @@ -130,6 +130,15 @@ If this causes problems (e.g., a new PypeIt script is unavailable or you encounter script errors), first try uninstalling (e.g., ``pip uninstall pypeit``) and then reinstalling. +.. warning:: + + Whenever you upgrade PypeIt, beware that this may include changes to the + output file data models. These changes are not required to be + backwards-compatible, meaning that, e.g., ``pypeit_show_2dspec`` may fault + when trying to view ``spec2d*`` files produced with your existing PypeIt + version after upgrading to a new version. **The best approach is to always + re-reduce data you're still working with anytime you update PypeIt.** + Install via ``conda`` (recommended overall) ------------------------------------------- @@ -176,6 +185,15 @@ If this causes problems (e.g., a new PypeIt script is unavailable or you encounter script errors), simply remove the conda environment (e.g., ``conda env remove pypeit``) and reinstall as above. +.. warning:: + + Whenever you upgrade PypeIt, beware that this may include changes to the + output file data models. These changes are not required to be + backwards-compatible, meaning that, e.g., ``pypeit_show_2dspec`` may fault + when trying to view ``spec2d*`` files produced with your existing PypeIt + version after upgrading to a new version. **The best approach is to always + re-reduce data you're still working with anytime you update PypeIt.** + .. _m1_macs: User Installation on Apple Silicon-based Macs diff --git a/doc/known_failure_modes.rst b/doc/known_failure_modes.rst index d8d9dae637..d2c9b60a50 100644 --- a/doc/known_failure_modes.rst +++ b/doc/known_failure_modes.rst @@ -14,6 +14,24 @@ This doc attempts to capture known failure modes of PypeIt and potential mitigation strategies. These are intended to be distinct from common user error. +.. _upgrade-faults: + +Odd Behavior and/or Faults After Upgrading PypeIt +================================================= + +**The best approach is to always re-reduce data you're still +working with anytime you update PypeIt.** + +Different versions of PypeIt may include changes to the input/output file data +models. These changes are not required to be backwards-compatible, meaning that +faults may occur when trying to use files intended for or produced by your +existing PypeIt version after upgrading to a new version. + +Generally, incorrect data models will cause the code to fault. However, those +faults may provide very obscure errors. If you run into a fault that you don't +understand, and you've recently upgraded your version of PypeIt, your go-to +troubleshooting test should be to re-reduce your data. + .. _bad-headers: Bad Headers diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 37e9db9a78..e99f9e1b65 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -821,7 +821,6 @@ Class Instantiation: :class:`~pypeit.par.pypeitpar.ProcessImagesPar` Key Type Options Default Description ======================== ========== ====================================== ========== ============================================================================================================================================================================================================================================================================================================================================================ ``apply_gain`` bool .. True Convert the ADUs to electrons using the detector gain -``calib_setup_and_bit`` str .. .. Over-ride the calibration setup and bit, e.g. "A_7". Only recommended for use with quicklook. ``clip`` bool .. True Perform sigma clipping when combining. Only used with combine=mean ``comb_sigrej`` float .. .. Sigma-clipping level for when clip=True; Use None for automatic limit (recommended). ``combine`` str ``median``, ``mean`` ``mean`` Method used to combine multiple frames. Options are: median, mean @@ -2599,6 +2598,7 @@ Alterations to the default parameters are: fit_2d_det_response = True [[slitedges]] fit_order = 4 + pad = 2 [scienceframe] [[process]] mask_cr = True @@ -2613,7 +2613,7 @@ Alterations to the default parameters are: [[extraction]] skip_extraction = True [flexure] - spec_maxshift = 2.5 + spec_maxshift = 3 [sensfunc] [[UVIS]] extinct_correct = False @@ -6040,6 +6040,8 @@ Alterations to the default parameters are: mask_cr = True use_biasimage = False noise_floor = 0.01 + [[flatfield]] + slit_illum_finecorr = False [[wavelengths]] lamps = NeI, ArI, HgI fwhm = 5.0 diff --git a/doc/quicklook.rst b/doc/quicklook.rst index 96e0818bee..b824e0c855 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -5,23 +5,30 @@ Quick-Look Reductions Overview ======== -PypeIt provides a quick-look (QL) script ``pypeit_ql`` that performs faster -(potentially lower quality) reductions for quick inspection, presumably for +PypeIt provides a quick-look (QL) script ``pypeit_ql`` that executes PypeIt in a +mode that should produce results more quickly but with potentially lower +fidelity. These results should be used for quick inspection only; e.g., for real-time decision-making while at the telescope. -The approach is to (1) generate calibration files if needed -using an auto-generated :doc:`pypeit_file` -and then (2) process the input science file(s) with -a separate auto-generated :doc:`pypeit_file`. -These are generally organized in separate directories -along with the output products (see below). -This script performs a boxcar (only) extraction of -long- or multi-slit observations. +The primary way this is currently achieved is by: -The script effectively requires that PypeIt is able to correctly determine the -type of each input frame, without input from the user. If this fails, so too -will the script. A future revision may allow the user to specify the -frametypes. + #. Enabling re-use of existing calibrations and/or facilitating the creation + of calibrations that can be repeatedly applied to the data without + reprocessing. + + #. Setting parameters in the reduction that enable a more quick-and-dirty + reduction; e.g., only boxcar extraction is performed. + + #. Imposing a more-limited set of use cases, but automating effectively all + of the "management" procedures (setting up directories, writing pypeit + files, optimizing parameters) that are usually performed by the user when + reducing data in those cases. + +Particularly because of the latter, the quick-look script follows a specific +directory structure and makes assumptions about which calibrations can be used +that are more lenient than recommended for a robust reduction. + +Here, we describe the algorithm and provide specific usage tutorials. The script usage can be displayed by calling the script with the ``-h`` option: @@ -29,7 +36,27 @@ The script usage can be displayed by calling the script with the .. include:: help/pypeit_ql.rst At present, only a few spectrographs have been extensively tested: -``shane_kast_blue``, ``shane_kast_red``, ``keck_lris_red``, ``keck_deimos``. +``keck_deimos``, ``keck_lris_red``, ``keck_nires``, ``shane_kast_blue``, and +``shane_kast_red``. + +Requirements +++++++++++++ + +To run ``pypeit_ql``, you need to provide a minimal set of calibrations, either +as new raw frames taken during your run or via an applicable set of calibrations +taken from previous runs (e.g., for long-slit and/or fixed-format echelle +observations). + +If you provide *only* a set of calibrations, ``pypeit_ql`` will process them. +If you also provide science exposures, they will be reduced using the provided +or linked calibrations. + +The script effectively requires that PypeIt is able to correctly determine the +type of each input frame, without input from the user. If this fails, so too +will the script. The only exception to this is that you can specify which +frames are ``science`` frames, using the ``--sci_files`` argument. Importantly, +however, files listed using the ``--sci_files`` option must also be listed among +the raw files (see below). Specifying the input raw files ++++++++++++++++++++++++++++++ @@ -81,23 +108,107 @@ in ``/path/to/files``, the third entry option would look like this: In this example (see more below), the three files are an arc-lamp exposure (``b1.fits.gz``), a dome-flat exposure (``b10.fits.gz``), and an on-sky science -exposure (``b27.fits.gz``). For the QL script to work, PypeIt must be able to -classify these frames as such automatically. The only exception is that you can -specify which of the files are science file using the ``--sci_files`` option. -Importantly, files listed using the ``sci_files`` option must also be listed -among the ``raw_files``. I.e., to specify the science frame in the above -example, the call would be: +exposure (``b27.fits.gz``). PypeIt is generally able to identify science frames +from the Shane/Kast spectrograph; however, you could specify the science frame +in the above example like so: .. code-block:: console pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files --sci_files b27.fits.gz +Directory Structure ++++++++++++++++++++ + +As with typical executions of :ref:`run-pypeit`, ``pypeit_ql`` yields +directories with calibrations, quality-assessment plots, and science products. +The difference is that ``pypeit_ql`` allows the user to keep the calibrations +and science products more separate. + +For example, executing: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files + +will yield two directories where you executed the call: ``b27`` and +``shane_kast_blue_A``. Both directories will look very similar to a normal +execution of :ref:`run-pypeit` (see :ref:`outputs-dir`), except the latter will +*only* contain calibrations and the former will only contain the science results +with a symlink to the ``Calibrations`` directory. The name of the directory +with the reduction for the science frames is based on the name of the frame, +``b27`` in this example. The name of directory with the calibrations is always +the combination of the instrument name and setup/configuration identifier, just +as produced by :ref:`pyepit_setup`. + +If multiple science frames are reduced *and stacked*, the name of the output +directory combines the names of the first and last science frames in the stack. +For example: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz b28.fits.gz b29.fits.gz --raw_path /path/to/files +would produce a ``b27-b29`` directory (assuming ``b27.fits.gz``, +``b28.fits.gz``, and ``b29.fits.gz`` are all science frames) with the results +produced by *stacking* all 3 science frames; images are stacked via simple +coaddition of the frames, not a "2D coadd" that includes spatial and spectral +registration of the slit images. +Use of existing calibrations +++++++++++++++++++++++++++++ +None of the examples above have provided a path with/for the processed +calibration files. This means the code will use the default PypeIt naming +system, hence the ``shane_kast_blue_A`` directory results from the call: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files + +If calibrations have already been processed, you can specify their location +using either the ``--setup_calib_dir`` or the ``--parent_calib_dir`` +command-line options. The difference is that the ``--setup_calib_dir`` is the +*exact* path to the directory with the calibrations to be used, whereas +``--parent_calib_dir`` points to a parent directory that may contain the +calibrations for many different instrument setups/configurations, each in their +own directory (e.g., ``shane_kast_blue_A``, ``shane_kast_blue_B``, etc). + +After using the first call above, subsequent calls to ``pypeit_ql`` for +additional observations will use the same calibrations directory. For example, executing + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b28.fits.gz --raw_path /path/to/files + +should *not* require the calibrations to be redone because they will have +already been produced via the call above. The automated naming convention +should search for (and find) the relevant calibrations in +``shane_kast_blue_A/Calibrations``. However, you can specific the relevant +directory explicitly: + +.. code-block:: console + + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b28.fits.gz --raw_path /path/to/files --setup_calib_dir shane_kast_blue_A/Calibrations + + + + + +.. warning:: + + The reason this is so is because there is only one configuration + + + The latter is the directory that holds the calibrations. +Inspection of this directory will like very similar to a normal run of +:ref:`run-pypeit`, except that it will *only* contain calibrations (and +associated QA). The ``b27`` directory will also look very similar to a normal + + +s are: + + - directories with calibrations are is that ``pypei -Folder tree -+++++++++++ One or more folders are generated in a run with ``pypeit_ql``. @@ -145,6 +256,19 @@ This should ensure that the science data are processed using the correct calibrations. +Algorithm ++++++++++ + + +The approach is to (1) generate calibration files if needed +using an auto-generated :doc:`pypeit_file` +and then (2) process the input science file(s) with +a separate auto-generated :doc:`pypeit_file`. +These are generally organized in separate directories +along with the output products (see below). +This script performs a boxcar (only) extraction of +long- or multi-slit observations. + Longslit ======== diff --git a/doc/scripts.rst b/doc/scripts.rst index 1f494a23c2..a8cbd4f73e 100644 --- a/doc/scripts.rst +++ b/doc/scripts.rst @@ -16,6 +16,15 @@ summaries of each script and points to other pages with more information. **If you are developing a new script, see** :ref:`new_script`. +.. warning:: + + Whenever you upgrade PypeIt, beware that this may include changes to the + output file data models. These changes are not required to be + backwards-compatible, meaning that, e.g., ``pypeit_show_2dspec`` may fault + when trying to view ``spec2d*`` files produced with your existing PypeIt + version after upgrading to a new version. **The best approach is to always + re-reduce data you're still working with anytime you update PypeIt.** + .. contents:: PypeIt Scripts :depth: 1 :local: diff --git a/pypeit/find_objects.py b/pypeit/find_objects.py index a4c68a93f2..489b4c8022 100644 --- a/pypeit/find_objects.py +++ b/pypeit/find_objects.py @@ -63,7 +63,7 @@ class FindObjects: find_negative (:obj:`bool`, optional): If True, the negative objects are found std_redux (:obj:`bool`, optional): - If True the object being extracted is a standards star + If True, the object being extracted is a standard star, so that the reduction parameters can be adjusted accordingly. show (:obj:`bool`, optional): Show plots along the way? diff --git a/pypeit/flatfield.py b/pypeit/flatfield.py index 48829fce0a..5ec3f3ad16 100644 --- a/pypeit/flatfield.py +++ b/pypeit/flatfield.py @@ -135,7 +135,7 @@ def _bundle(self): # empty extension where the only added value is that PYP_SPEC is in the # header. I deal with this by skipping PYP_SPEC in the list of keys and # adding it to the dictionaries of the simple objects; i.e., it's not - # added to entries in `d`` that are themselves DataContainer objects + # added to entries in `d` that are themselves DataContainer objects # (because that causes havoc). d = [] @@ -1953,15 +1953,6 @@ def merge(init_cls, merge_cls): for key in keys: dd[key] = getattr(init_cls, key) if getattr(merge_cls, key) is None \ else getattr(merge_cls, key) -# for key in keys: -# mrg = False -# val = None -# namespace = dict({'val': val, 'init_cls':init_cls, 'merge_cls':merge_cls, 'mrg':mrg}) -# exec("val = init_cls.{0:s}".format(key), namespace) -# exec("mrg = merge_cls.{0:s} is not None".format(key), namespace) -# if namespace['mrg']: -# exec("val = merge_cls.{0:s}".format(key), namespace) -# dd[key] = namespace['val'] # Construct the merged class return FlatImages(**dd) diff --git a/pypeit/images/buildimage.py b/pypeit/images/buildimage.py index 5f40670637..2ce086f116 100644 --- a/pypeit/images/buildimage.py +++ b/pypeit/images/buildimage.py @@ -221,7 +221,7 @@ def buildimage_fromlist(spectrograph, det, frame_par, file_list, bias=None, bpm= """ # Check if not isinstance(frame_par, pypeitpar.FrameGroupPar): - msgs.error('Provided ParSet for must be type FrameGroupPar, not ' + msgs.error('Provided ParSet must be type FrameGroupPar, not ' f'{frame_par.__class__.__name__}.') if not valid_frametype(frame_par['frametype'], quiet=True): # NOTE: This should not be necessary because FrameGroupPar explicitly diff --git a/pypeit/inputfiles.py b/pypeit/inputfiles.py index e8d1e37dc5..26451ceb3e 100644 --- a/pypeit/inputfiles.py +++ b/pypeit/inputfiles.py @@ -420,7 +420,7 @@ def write(self, input_file, version_override=None, date_override=None): Override the current version and use this one instead. **For documentation purposes only!** date_override (:obj:`str`, optional): - Override the current version and use this one instead. **For + Override the current date and use this one instead. **For documentation purposes only!** """ _version = __version__ if version_override is None else version_override diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 460465429a..4c7d8380fc 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -356,7 +356,7 @@ def remove_rows(self, rows, regroup=False): for col in ['setup', 'calib', 'calibbit', 'comb_id', 'bkg_id']: if col in self.keys(): del self.table[col] - self.set_configurations(self.unique_configurations()) + self.set_configurations() self.set_calibration_groups() self.set_combination_groups() @@ -414,9 +414,6 @@ def get_configuration(self, indx, cfg_keys=None): """ Return the configuration dictionary for a given frame. - This is not the same as the backwards compatible "setup" - dictionary. - Args: indx (:obj:`int`): The index of the table row to use to construct the @@ -472,61 +469,61 @@ def construct_basename(self, row, obstime=None): datetime.datetime.strftime(dtime, '%Y%m%dT'), tiso.value.split("T")[1].replace(':','')) - def get_setup(self, row, det=None, config_only=False): - """ - Construct the setup dictionary. - - .. todo:: - - This is for backwards compatibility, but we should - consider reformatting it. And it may be something to put - in the relevant spectrograph class. - - Args: - row (:obj:`int`): - The 0-indexed row used to construct the setup. - det (:obj:`int`, optional): - The 1-indexed detector to include. If None, all - detectors are included. - config_only (:obj:`bool`, optional): - Just return the dictionary with the configuration, don't - include the top-level designation of the configuration - itself. - - Returns: - dict: The pypeit setup dictionary with the default format. - - Raises: - PypeItError: - Raised if the 'setup' isn't been defined. - """ - if 'setup' not in self.keys(): - msgs.error('Cannot provide instrument setup without \'setup\' column; ' - 'run set_configurations.') - dispname = 'none' if 'dispname' not in self.keys() else self['dispname'][row] - dispangle = 'none' if 'dispangle' not in self.keys() else self['dispangle'][row] - dichroic = 'none' if 'dichroic' not in self.keys() else self['dichroic'][row] - decker = 'none' if 'decker' not in self.keys() else self['decker'][row] - slitwid = 'none' if 'slitwid' not in self.keys() else self['slitwid'][row] - slitlen = 'none' if 'slitlen' not in self.keys() else self['slitlen'][row] - binning = '1,1' if 'binning' not in self.keys() else self['binning'][row] - - skey = 'Setup {}'.format(self['setup'][row]) - # Key names *must* match configuration_keys() for spectrographs - setup = {skey: - {'--': - {'disperser': {'dispname': dispname, 'dispangle':dispangle}, - 'dichroic': dichroic, - 'slit': {'decker': decker, 'slitwid':slitwid, 'slitlen':slitlen}, - 'binning': binning, # PypeIt orientation binning of a science image - } - } - } - #_det = np.arange(self.spectrograph.ndet)+1 if det is None else [det] - #for d in _det: - # setup[skey][str(d).zfill(2)] \ - # = {'binning': binning, 'det': d, - # 'namp': self.spectrograph.detector[d-1]['numamplifiers']} - return setup[skey] if config_only else setup +# def get_setup(self, row, det=None, config_only=False): +# """ +# Construct the setup dictionary. +# +# .. todo:: +# - This is for backwards compatibility, but we should +# consider reformatting it. And it may be something to put +# in the relevant spectrograph class. +# +# Args: +# row (:obj:`int`): +# The 0-indexed row used to construct the setup. +# det (:obj:`int`, optional): +# The 1-indexed detector to include. If None, all +# detectors are included. +# config_only (:obj:`bool`, optional): +# Just return the dictionary with the configuration, don't +# include the top-level designation of the configuration +# itself. +# +# Returns: +# dict: The pypeit setup dictionary with the default format. +# +# Raises: +# PypeItError: +# Raised if the 'setup' isn't been defined. +# """ +# if 'setup' not in self.keys(): +# msgs.error('Cannot provide instrument setup without \'setup\' column; ' +# 'run set_configurations.') +# dispname = 'none' if 'dispname' not in self.keys() else self['dispname'][row] +# dispangle = 'none' if 'dispangle' not in self.keys() else self['dispangle'][row] +# dichroic = 'none' if 'dichroic' not in self.keys() else self['dichroic'][row] +# decker = 'none' if 'decker' not in self.keys() else self['decker'][row] +# slitwid = 'none' if 'slitwid' not in self.keys() else self['slitwid'][row] +# slitlen = 'none' if 'slitlen' not in self.keys() else self['slitlen'][row] +# binning = '1,1' if 'binning' not in self.keys() else self['binning'][row] +# +# skey = 'Setup {}'.format(self['setup'][row]) +# # Key names *must* match configuration_keys() for spectrographs +# setup = {skey: +# {'--': +# {'disperser': {'dispname': dispname, 'dispangle':dispangle}, +# 'dichroic': dichroic, +# 'slit': {'decker': decker, 'slitwid':slitwid, 'slitlen':slitlen}, +# 'binning': binning, # PypeIt orientation binning of a science image +# } +# } +# } +# #_det = np.arange(self.spectrograph.ndet)+1 if det is None else [det] +# #for d in _det: +# # setup[skey][str(d).zfill(2)] \ +# # = {'binning': binning, 'det': d, +# # 'namp': self.spectrograph.detector[d-1]['numamplifiers']} +# return setup[skey] if config_only else setup def get_configuration_names(self, ignore=None, return_index=False, configs=None): """ @@ -614,6 +611,26 @@ def _get_cfgs(self, copy=False, rm_none=False): del _cfg['None'] return _cfg + @staticmethod + def maximum_number_of_configurations(): + nascii = len(string.ascii_uppercase) + return nascii + nascii**2 + + @staticmethod + def configuration_generator(start=0): + nascii = len(string.ascii_uppercase) + return (string.ascii_uppercase[i] if i < nascii \ + else string.ascii_uppercase[int((i-nascii)//nascii)] \ + + string.ascii_uppercase[int((i-nascii) % nascii)] + for i in range(start, nascii + nascii**2)) + + @property + def n_configs(self): + if self.configs is None: + msgs.error('Configurations not defined by PypeItMetaData object. Execute ' + 'unique_configurations first.') + return len(list(self.configs.keys())) + def unique_configurations(self, force=False, copy=False, rm_none=False): """ Return the unique instrument configurations. @@ -706,44 +723,45 @@ def unique_configurations(self, force=False, copy=False, rm_none=False): if len(indx) == 0: msgs.error('No frames to use to define configurations!') - # Get the list of keys to use - cfg_keys = self.spectrograph.configuration_keys() - - # Configuration identifiers are iterations through the - # upper-case letters: A, B, C, etc. - double_alphabet = [str_i + str_j for str_i in string.ascii_uppercase for str_j in string.ascii_uppercase] - cfg_iter = list(string.ascii_uppercase) + double_alphabet - cfg_indx = 0 + # Instantiate the configuration generator + cfg_gen = PypeItMetaData.configuration_generator() # TODO: Placeholder: Allow an empty set of configuration keys # meaning that the instrument setup has only one configuration. - if len(cfg_keys) == 0: + if len(self.spectrograph.configuration_keys()) == 0: self.configs = {} - self.configs[cfg_iter[cfg_indx]] = {} + self.configs[next(cfg_gen)] = {} msgs.info('All files assumed to be from a single configuration.') return self._get_cfgs(copy=copy, rm_none=rm_none) # Use the first file to set the first unique configuration self.configs = {} - self.configs[cfg_iter[cfg_indx]] = self.get_configuration(indx[0], cfg_keys=cfg_keys) - cfg_indx += 1 + self.configs[next(cfg_gen)] = self.get_configuration(indx[0]) - # Check if any of the other files show a different - # configuration. + # Check if any of the other files show a different configuration. for i in indx[1:]: - j = 0 + cfg = self.get_configuration(i) + matched = False for c in self.configs.values(): - if row_match_config(self.table[i], c, self.spectrograph): + if self.spectrograph.same_configuration([c,cfg]): + matched = True break - j += 1 - unique = j == len(self.configs) - if unique: - if cfg_indx == len(cfg_iter): - msgs.error('Cannot assign more than {0} configurations!'.format(len(cfg_iter))) - self.configs[cfg_iter[cfg_indx]] = self.get_configuration(i, cfg_keys=cfg_keys) - cfg_indx += 1 - - msgs.info('Found {0} unique configurations.'.format(len(self.configs))) + if matched: + # Matches an existing configuration, so move on to the next + # frame + continue + + try: + # Get the next setup identifier + setup = next(cfg_gen) + except StopIteration: + msgs.error('Cannot assign more configurations! Either something went wrong' + 'or you are trying to reduce data from more than ' + f'{PypeItMetaData.maximum_number_of_configurations()} setups!') + # Add the configuration + self.configs[setup] = cfg + + msgs.info(f'Found {len(self.configs)} unique configuration(s).') return self._get_cfgs(copy=copy, rm_none=rm_none) def set_configurations(self, configs=None, force=False, fill=None): @@ -804,7 +822,8 @@ def set_configurations(self, configs=None, force=False, fill=None): for d, cfg in _configs.items(): # modify the configuration items only for specific frames. This is instrument dependent. cfg = self.spectrograph.modify_config(self.table[i], cfg) - if row_match_config(self.table[i], cfg, self.spectrograph): + if self.spectrograph.same_configuration([self.get_configuration(i), cfg]): +# if row_match_config(self.table[i], cfg, self.spectrograph): if d in self.table['setup'][i]: continue elif self.table['setup'][i] == 'None': @@ -1576,7 +1595,7 @@ def write_pypeit(self, output_path=None, cfg_lines=None, Override the current version and use this one instead. **For documentation purposes only!** date_override (:obj:`str`, optional): - Override the current version and use this one instead. **For + Override the current date and use this one instead. **For documentation purposes only!** Raises: @@ -1834,37 +1853,3 @@ def find_frame_calib_groups(self, row): return self.calib_bitmask.flagged_bits(self['calibbit'][row]) -# TODO: Is there a reason why this is not an attribute of -# PypeItMetaData? -def row_match_config(row, config, spectrograph): - """ - Queries whether a row from the fitstbl matches the - input configuration - - Args: - row (astropy.table.Row): From fitstbl - config (dict): Defines the configuration - spectrograph (pypeit.spectrographs.spectrograph.Spectrograph): - Used to grab the rtol value for float meta (e.g. dispangle) - - Returns: - bool: True if the row matches the input configuration - - """ - # Loop on keys in config - match = [] - for k in config.keys(): - # Deal with floating configs (e.g. grating angle) - if isinstance(config[k], float): - if row[k] is None: - match.append(False) - elif np.abs(config[k]-row[k])/config[k] < spectrograph.meta[k]['rtol']: - match.append(True) - else: - match.append(False) - else: - # The np.all allows for arrays in the Table (e.g. binning) - match.append(np.all(config[k] == row[k])) - # Check - return np.all(match) - diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 848c357bab..d948388fbf 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -215,7 +215,7 @@ def __init__(self, trim=None, apply_gain=None, orient=None, n_lohi=None, #replace=None, lamaxiter=None, grow=None, comb_sigrej=None, - calib_setup_and_bit=None, +# calib_setup_and_bit=None, rmcompact=None, sigclip=None, sigfrac=None, objlim=None, use_biasimage=None, use_overscan=None, use_darkimage=None, dark_expscale=None, @@ -412,10 +412,10 @@ def __init__(self, trim=None, apply_gain=None, orient=None, dtypes['objlim'] = [int, float] descr['objlim'] = 'Object detection limit in LA cosmics routine' - defaults['calib_setup_and_bit'] = None - dtypes['calib_setup_and_bit'] = str - descr['calib_setup_and_bit'] = 'Over-ride the calibration setup and bit, e.g. "A_7". ' \ - 'Only recommended for use with quicklook.' +# defaults['calib_setup_and_bit'] = None +# dtypes['calib_setup_and_bit'] = str +# descr['calib_setup_and_bit'] = 'Over-ride the calibration setup and bit, e.g. "A_7". ' \ +# 'Only recommended for use with quicklook.' # Instantiate the parameter set super(ProcessImagesPar, self).__init__(list(pars.keys()), @@ -435,7 +435,7 @@ def from_dict(cls, cfg): 'use_overscan', 'overscan_method', 'overscan_par', 'use_darkimage', 'dark_expscale', 'spat_flexure_correct', 'use_illumflat', 'use_specillum', 'empirical_rn', 'shot_noise', 'noise_floor', 'use_pixelflat', 'combine', - 'satpix', 'calib_setup_and_bit', + 'satpix', #'calib_setup_and_bit', 'n_lohi', 'mask_cr', 'lamaxiter', 'grow', 'clip', 'comb_sigrej', 'rmcompact', 'sigclip', 'sigfrac', 'objlim'] @@ -4876,18 +4876,3 @@ def validate(self): """ pass - -#def ql_is_on(config:ConfigObj): -# """ Check whether QL is set to "on" -# -# Args: -# config (configobj.ConfigObj): -# parameters -# -# Returns: -# bool: True if QL is on -# """ -# try: -# return config['rdx']['quicklook'] -# except: -# return False \ No newline at end of file diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 106d341982..93ea03948e 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -104,42 +104,6 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse_calibs=False, msgs.info('Setting configuration-specific parameters using ' f'{os.path.split(config_specific_file)[1]}.') -# # Spectrograph -# spectrograph_name = self.pypeItFile.config['rdx']['spectrograph'] -# self.spectrograph = load_spectrograph(spectrograph_name) -# -# # -------------------------------------------------------------- -# # Get the full set of PypeIt parameters -# # - Grab a science or standard file for configuration specific parameters -# -# config_specific_file = None -# for idx, row in enumerate(self.pypeItFile.data): -# if ('science' in row['frametype']) or ('standard' in row['frametype']): -# config_specific_file = self.pypeItFile.filenames[idx] -# # search for arcs, trace if no scistd was there -# if config_specific_file is None: -# for idx, row in enumerate(self.pypeItFile.data): -# if ('arc' in row['frametype']) or ('trace' in row['frametype']): -# config_specific_file = self.pypeItFile.filenames[idx] -# if config_specific_file is not None: -# msgs.info( -# 'Setting configuration-specific parameters using {0}'.format(os.path.split(config_specific_file)[1])) -# self.spectrograph._check_extensions(config_specific_file) -# spectrograph_cfg_lines = self.spectrograph.config_specific_par(config_specific_file).to_config() -# -# # Addtional parameters, including QL -# merge = (self.pypeItFile.cfg_lines,) -## # NOTE: Moved this into the ql script -## if ql_is_on(self.pypeItFile.config): -## merge = (self.spectrograph.ql_par(),) + merge -# -# # - Build the full set, merging with any user-provided -# # parameters -# self.par = PypeItPar.from_cfg_lines( -# cfg_lines=spectrograph_cfg_lines, -# merge_with=merge) -# msgs.info('Built full PypeIt parameter set.') - # Check the output paths are ready if redux_path is not None: self.par['rdx']['redux_path'] = redux_path @@ -197,7 +161,7 @@ def __init__(self, pypeit_file, verbosity=2, overwrite=True, reuse_calibs=False, self.det = None self.tstart = None self.basename = None - self.sciI = None +# self.sciI = None self.obstime = None @property @@ -313,7 +277,7 @@ def calib_all(self): # Find the detectors to reduce detectors = self.select_detectors(self.spectrograph, self.par['rdx']['detnum'], - self.par['rdx']['slitspatnum']) + slitspatnum=self.par['rdx']['slitspatnum']) msgs.info(f'Detectors to work on: {detectors}') # Loop on Detectors @@ -480,7 +444,7 @@ def reduce_all(self): self.print_end_time() @staticmethod - def select_detectors(spectrograph, detnum, slitspatnum): + def select_detectors(spectrograph, detnum, slitspatnum=None): """ Get the set of detectors to be reduced. @@ -489,6 +453,16 @@ def select_detectors(spectrograph, detnum, slitspatnum): except that it applies any limitations set by the :class:`~pypeit.par.pypeitpar.ReduxPar` parameters. + Args: + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph): + Spectrograph instance that defines the allowed + detectors/mosaics. + detnum (:obj:`int`, :obj:`tuple`): + The detectors/mosaics to parse + slitspatnum (:obj:`str`, optional): + Used to restrict the reduction to a specified slit. See + :class:`~pypeit.par.pypeitpar.ReduxPar`. + Returns: :obj:`list`: List of unique detectors or detector mosaics to be reduced. @@ -575,7 +549,7 @@ def reduce_exposure(self, frames, bg_frames=None, std_outfile=None): # Find the detectors to reduce detectors = self.select_detectors(self.spectrograph, self.par['rdx']['detnum'], - self.par['rdx']['slitspatnum']) + slitspatnum=self.par['rdx']['slitspatnum']) msgs.info(f'Detectors to work on: {detectors}') # Loop on Detectors -- Calibrate, process image, find objects @@ -834,7 +808,7 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): Sky regions are defined by the internal provided parameters; see ``user_regions`` in :class:`~pypeit.par.pypeitpar.SkySubPar`. If - included in the in the pypeit file like so, + included in the pypeit file like so, .. code-block:: ini @@ -869,7 +843,7 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): Returns ------- skymask : `numpy.ndarray`_ - A boolean array of used to select sky pixels; i.e., True is a pixel + A boolean array used to select sky pixels; i.e., True is a pixel that corresponds to a sky region. If the ``user_regions`` parameter is not set (or an empty string), the returned value is None. """ @@ -879,10 +853,10 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): # First priority given to user_regions first if self.par['reduce']['skysub']['user_regions'] == 'user': # Build the file name - setup = self.fitstbl['setup'][frame] - calib_id = CalibFrame.ingest_calib_id(self.fitstbl['calib'][frame]) - detname = self.spectrograph.get_det_name(self.det) - calib_key = CalibFrame.construct_calib_key(setup, calib_id, detname) + calib_key = CalibFrame.construct_calib_key( + self.fitstbl['setup'][frame], + CalibFrame.ingest_calib_id(self.fitstbl['calib'][frame]), + self.spectrograph.get_det_name(self.det)) regfile = buildimage.SkyRegions.construct_file_name(calib_key, calib_dir=self.calibrations_path, basename=io.remove_suffix(scifile)) @@ -915,7 +889,9 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): status, regions = skysub.read_userregions(skyregtxt, self.caliBrate.slits.nslits, maxslitlength) # Generate and return image - # TODO: Is this applying the spatial flexure twice? + # TODO: Is this applying the spatial flexure twice? I.e., once above + # when calling select_edges, and once below when passed to + # generate_mask? return skysub.generate_mask(self.spectrograph.pypeline, regions, self.caliBrate.slits, slits_left, slits_right, spat_flexure=spat_flexure) diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index 9f2b1097fe..3e81a73bf1 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -24,9 +24,9 @@ class PypeItSetup: Prepare for a pypeit run. The main deliverables are the set of parameters used for PypeIt's algorithms - (:attr:`par`), an `astropy.table.Table`_ with the details of the files to be - reduced (:attr:`fitstbl`), and a dictionary with the list of instrument - setups. + (:attr:`par`), a table with metadata pulled from the files to be reduced + (:attr:`fitstbl`), and a class used to perform instrument-specific + operations (:attr:`spectrograph`). Args: file_list (list): @@ -232,9 +232,9 @@ def build_fitstbl(self, strict=True): warning and continue. Returns: - `astropy.table.Table`_: Table with the metadata for each - fits file to reduce. Note this is different from - :attr:`fitstbl`, which is a :obj:`PypeItMetaData` object. + `astropy.table.Table`_: Table with the metadata for each fits file + to reduce. Note this is different from :attr:`fitstbl`, which is a + :class:`~pypeit.metadata.PypeItMetaData` object. """ # Build and sort the table self.fitstbl = PypeItMetaData(self.spectrograph, par=self.par, @@ -270,20 +270,23 @@ def get_frame_types(self, flag_unknown=False): def run(self, setup_only=False, clean_config=True, groupings=True): """ - Once instantiated, this is the main method used to construct the - object. + Perform the main setup operations. The code flow is as follows:: - - Build the fitstbl from an input file_list (optional) + - Build the metadata table from an input file_list (if it hasn't + been already) + - Remove frames (if requested using ``clean_config``) that cannot be + associated with a configuration because of incomplete metadata or + a configuration that PypeIt cannot reduce - Type the files (bias, arc, etc.) - - Match calibration files to the science files + - Match calibration files to the science files (if ``groupings`` is + True) - It is expected that a user will run this three times if they're - being careful. Once with `setup_only=True` to confirm the - images are properly typed and grouped together for calibration. - A second time with `calibration_check=True` to confirm the - appropriate calibrations frames are available. And a third time - to do the actual setup before proceeding with the reductions. + It is expected that a user will run this twice if they're being careful. + Once with `setup_only=True` to confirm the images are properly typed and + grouped together for calibration. A second time to do the actual setup + that groups frames by instrument configuration, preparing the user to + proceed with the reductions using the ``run_pypeit`` script. Args: setup_only (:obj:`bool`, optional): @@ -307,11 +310,12 @@ class is fully instantiated such that the user can Returns: :obj:`tuple`: Returns, respectively, the - :class:`~pypeit.par.pypeitpar.PypeItPar` object with the - reduction parameters, the - :class:`~pypeit.spectrographs.spectrograph.Spectrograph` - object with the spectrograph instance, and an - `astropy.table.Table`_ with the frame metadata. + :class:`~pypeit.par.pypeitpar.PypeItPar` object with the reduction + parameters, the + :class:`~pypeit.spectrographs.spectrograph.Spectrograph` object with + the spectrograph instance, and the + :func:`~pypeit.metadata.PypeItMetaData` object with the an file + metadata. """ # Build the minimal metadata table if it doesn't exist already if self.fitstbl is None: @@ -326,12 +330,12 @@ class is fully instantiated such that the user can 'pypeit_setup with the --keep_bad_frames option.') # Determine the type of each frame. - self.get_frame_types(flag_unknown=setup_only) # or calibration_check) + self.get_frame_types(flag_unknown=setup_only) if groupings: # Determine the configurations and assign each frame to the # specified configuration - self.fitstbl.set_configurations(self.fitstbl.unique_configurations()) + self.fitstbl.set_configurations() # Assign frames to calibration groups self.fitstbl.set_calibration_groups() @@ -410,10 +414,26 @@ def generate_ql_calib_pypeit_files(self, output_path:str, self.user_cfg += [f'detnum = {det}'] self.user_cfg += ['quicklook = True'] - # TODO: Do this regardless of whether there are any bias frames? + # Set basic image processing flags (some of these may be the default, + # but they're set here just to make sure) + self.user_cfg += ['[baseprocess]', + 'use_specillum = False', + 'use_pattern = False'] if not any(self.fitstbl.find_frames('bias')): # Turn-off use of bias by default - self.user_cfg += ['[baseprocess]', 'use_biasimage = False'] + self.user_cfg += ['use_biasimage = False'] + if not any(self.fitstbl.find_frames('dark')): + # Turn-off use of bias by default + self.user_cfg += ['use_darkimage = False'] + + if not any(self.fitstbl.find_frames('pixelflat')): + self.user_cfg += ['use_pixelflat = False'] + self.user_cfg += ['use_illumflat = False'] + elif not any(self.fitstbl.find_frames('illumflat')): + self.user_cfg += ['use_illumflat = False'] + + # Turn off the fine correction for the slit illumination + self.user_cfg += ['[calibrations]', '[[flatfield]]', 'slit_illum_finecorr = False'] # Write the PypeIt files # TODO: Exclude science/standard files from file? diff --git a/pypeit/pypmsgs.py b/pypeit/pypmsgs.py index 8dfc9ef19f..d703ba953b 100644 --- a/pypeit/pypmsgs.py +++ b/pypeit/pypmsgs.py @@ -186,7 +186,6 @@ def error(self, msg, cls='PypeItError'): # TODO: This no longer "closes" the QA plots self.close() -# raise PypeItError(msg) raise eval(cls)(msg) # TODO: Does this do anything? I didn't think anything past `raise` diff --git a/pypeit/scripts/chk_wavecalib.py b/pypeit/scripts/chk_wavecalib.py index 0b78f28167..36640c0c87 100644 --- a/pypeit/scripts/chk_wavecalib.py +++ b/pypeit/scripts/chk_wavecalib.py @@ -31,6 +31,7 @@ def main(args): # Load waveCalib = wavecalib.WaveCalib.from_file(args.input_file) #, chk_version=(not args.try_old)) + # TODO: Should this specify the type of exception to pass? except: pass else: @@ -39,6 +40,7 @@ def main(args): try: allspec2D = spec2dobj.AllSpec2DObj.from_fits(args.input_file, chk_version=False) + # TODO: Should this specify the type of exception to pass? except: pass else: diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 7327f13c12..44a799ed41 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -143,7 +143,7 @@ def main(args): # Now run the coadds bkg_redux = head2d['SKYSUB'] == 'DIFF' - find_negative = head2d['FINDOBJ'] == 'NEG' + find_negative = head2d['FINDOBJ'] == 'POS_NEG' # Print status message msgs_string = f'Reducing target {basename}' + msgs.newline() diff --git a/pypeit/scripts/parse_slits.py b/pypeit/scripts/parse_slits.py index 56b327b9f1..5bcc981889 100644 --- a/pypeit/scripts/parse_slits.py +++ b/pypeit/scripts/parse_slits.py @@ -50,6 +50,7 @@ def main(pargs): try: slits = slittrace.SlitTraceSet.from_file(pargs.input_file)#, chk_version=False) + # TODO: Should this specify the type of exception to pass? except: pass else: @@ -58,6 +59,7 @@ def main(pargs): try: allspec2D = spec2dobj.AllSpec2DObj.from_fits(pargs.input_file, chk_version=False) + # TODO: Should this specify the type of exception to pass? except: pass else: diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index b081ac85a3..c068a4d75d 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -3,19 +3,33 @@ Use cases: - 1. DONE: User inputs N files: arc, flat, science(s) - 2. DONE: User inputs 1 or more science files for a fixed-format instrument (e.g. NIRES) - 3. DONE: User inputs 1 folder of files - 4. DONE: User inputs 1 folder of files including 1 new science frame - 5. DONE: User inputs an ASCII file of files - 6. User inputs 2 science files with A-B [and calibs or uses defaults] - 7. User inputs N science files with A and B (only), stacks all files at A and B independently, A-B, add pos+neg - 8. User inputs N science files with an arbitrary set of dither patterns that are encoded in the headers (e.g. MOSFIRE, currently this works for just one dither pattern, and that may be all we need). Total stack is computed + #. User inputs N files: arc, flat, science(s) + + #. User inputs 1 or more science files for a fixed-format instrument (e.g. + NIRES) + + #. User inputs 1 folder of files + + #. User inputs 1 folder of files including 1 new science frame + + #. User inputs an ASCII file of files + + #. User inputs 2 science files with A-B [and calibs or uses defaults] + + #. User inputs N science files with A and B (only), stacks all files at A and + B independently, A-B, add pos+neg + + #. User inputs N science files with an arbitrary set of dither patterns that + are encoded in the headers (e.g. MOSFIRE, currently this works for just one + dither pattern, and that may be all we need). Total stack is computed Notes with JFH: - 1. Label B images as "sky" for A-B redux - 2. Write spec2D A images to disk with a minus sign and call B - 3. Consider not writing out but return instead + + #. Label B images as "sky" for A-B redux + + #. Write spec2D A images to disk with a minus sign and call B + + #. Consider not writing out but return instead .. include:: ../include/links.rst """ @@ -23,6 +37,7 @@ import time import datetime import shutil +from copy import deepcopy from IPython import embed @@ -35,6 +50,7 @@ from pypeit.pypmsgs import PypeItError from pypeit import msgs from pypeit import pypeitsetup +from pypeit import metadata from pypeit import io from pypeit import pypeit from pypeit.par.pypeitpar import PypeItPar @@ -283,10 +299,6 @@ def generate_sci_pypeitfile(redux_path:str, if slitspatnum is not None: cfg['rdx']['slitspatnum'] = slitspatnum - # Turn-off use of bias by default - cfg['baseprocess'] = {} - cfg['baseprocess']['use_biasimage'] = False - # Add reduce dictionary? if any([k is not None for k in [snr_thresh, boxcar_radius, std_spec1d]]): cfg['reduce'] = {} @@ -310,77 +322,163 @@ def generate_sci_pypeitfile(redux_path:str, config_subdir=False)[0] -def match_to_calibs(ps:pypeitsetup.PypeItSetup, calib_dir:str): +def calib_manifest(calib_dir, spectrograph): """ - Match observations to a set of existing calibrations. + Collate the list of setups with processed calibrations. The calibrations must exist within the provided parent directory. The calibration directories must start with the PypeIt-specific name used for the relevant spectrograph (e.g., ``shane_kast_blue``), and the sub-directories must have a pypeit file that provides the instrument - configuration (setup) to be matched against the provided observation - metadata. + configuration (setup). Directories that contain a pypeit file but no + calibration subdirectory are ignored. Args: - ps (:class:`pypeit.pypeitsetup.PypeItSetup`): - Object providing metadata and parameters necessary to execute PypeIt - data reduction. - calib_dir (:obj:`str`): + calib_dir (:obj:`str`, `Path`_): Parent directory with the calibrations; see above. This directory must exist. + spectrograph (:obj:`str`): + The PypeIt-specific name of the spectrograph. Returns: - `Path`_: Directory with existing calibrations that Provides the PypeIt file used to build the calibrations - and the full path to the calibration directory. + :obj:`dict`: Dictionary with the list of instruments setups with + available calibrations. If no calibrations are found, either because no + pypeit files are found or none of the directories with pypeit files + include a calibrations directory, None is returned. The dictionary has + one item for every setup found. Each item includes all the + configuration parameters used to define a unique setup for this + instrument, and it also includes the item ``'calib_dir'`` giving the + directory with the processed calibrations. """ - # Check on one setup - if len(ps.fitstbl.configs.keys()) > 1: - msgs.error('Your observations use more than one setup. They must be reduced separately.') - - # Get the setup identifier. This should be 'A' because there is only one - # setup, but this just ensures we're using the exact identifier. - setup = list(ps.fitstbl.configs.keys())[0] - # Check the calibration directory exists _calib_dir = Path(calib_dir).resolve() if not _calib_dir.exists(): msgs.error(f'Calibration directory does not exist: {_calib_dir}') # Find the pypeit files - pypeit_files = sorted(_calib_dir.glob('{0}_*/{0}*.pypeit'.format(ps.spectrograph.name))) - + pypeit_files = sorted(_calib_dir.glob('{0}_*/{0}*.pypeit'.format(spectrograph))) if len(pypeit_files) == 0: - msgs.error('Could not find any pypeit files!') + return None - matched_calib_dir = [] + # Build the dictionary + setups = {} for pypeit_file in pypeit_files: # Read pypeitFile = inputfiles.PypeItFile.from_file(pypeit_file) + # Copy the setup + setups[pypeitFile.setup_name] = deepcopy(pypeitFile.setup) + # Remove the 'Setup *' entry + del setups[pypeitFile.setup_name][f'Setup {pypeitFile.setup_name}'] + # Add the calibrations directory + par = PypeItPar.from_cfg_lines(pypeitFile.cfg_lines) + setups[pypeitFile.setup_name]['calib_dir'] \ + = pypeit_file.parent / par['calibrations']['calib_dir'] + # If the calibrations directory doesn't exist, ignore the directory! + if not setups[pypeitFile.setup_name]['calib_dir'].exists(): + del setups[pypeitFile.setup_name] + return setups - # Check for a match - match = True - for key in ps.spectrograph.configuration_keys(): - if ps.fitstbl.configs[setup][key] != pypeitFile.setup[key]: - match = False - break - if not match: + +def match_to_calibs(ps:pypeitsetup.PypeItSetup, calib_dir:str, calibrated_setups=None): + """ + Match observations to existing calibrations. + + The function first builds the list of existing calibration setups; see + :func:`calib_manifest`. Then, each setup for data provided by the + :class:`~pypeit.pypeitsetup.PypeItSetup` object is matched to the existing + setups. + + Args: + ps (:class:`~pypeit.pypeitsetup.PypeItSetup`): + Object providing metadata and parameters necessary to execute PypeIt + data reduction. This must contain data from a *single* + setup/configuration; an error is raised if not. + calib_dir (:obj:`str`): + Parent directory with the calibrations; see :func:`calib_manifest`. + This directory must exist. + + Returns: + :obj:`dict`: A nested dictionary with the matched setups. There is one + dictionary key for each setup in ``ps``. Each setup dictionary item is + itself a dictionary with two items, ``setup`` and ``calib_dir``, where + ``setup`` is setup identifier of the existing calibrations (as opposed + to the setups provided in ``ps``) and the `Path`_ to the calibrations. + If a setup in ``ps`` is not matched, the associated dictionary item is + None. + """ + if calibrated_setups is None: + calibrated_setups = calib_manifest(calib_dir, ps.spectrograph.name) + + matched_configs = {} + for setup, config in ps.fitstbl.configs.items(): + if calibrated_setups is None: + matched_configs[setup] = None continue + matched_configs[setup] = dict(setup=[], calib_dir=[]) + for cal_setup, cal_config in calibrated_setups.items(): + if not ps.spectrograph.same_configuration([config, cal_config]): + continue + + matched_configs[setup]['setup'] += [cal_setup] + # NOTE: calib_manifest() checks that the calibration directory + # exists for *any* returned setup. + matched_configs[setup]['calib_dir'] += [cal_config['calib_dir']] + + if len(matched_configs[setup]['setup']) == 0: + matched_configs[setup] = None + continue + elif len(matched_configs[setup]['setup']) > 1: + msgs.warn('Existing calibrations have degenerate configurations! We recommend you ' + 'clean your calibrations parent directory. For now, using the first match.') + matched_configs[setup]['setup'] = matched_configs[setup]['setup'][0] + matched_configs[setup]['calib_dir'] = matched_configs[setup]['calib_dir'][0] - # Matched. Use the pypeit file to set the directory with the - # calibrations and only add it if the directory exists. - par = PypeItPar.from_cfg_lines(pypeitFile.cfg_lines) - _matched_dir = pypeit_file.parent / par['calibrations']['calib_dir'] - if _matched_dir.exists(): - matched_calib_dir += [_matched_dir] + return matched_configs + + +def merge_setups(calibrated_setups, calib_match, frame_setup): + """ + Merge the setup identifiers for new reductions to those matched to existing + reductions. - # Are we ok? - if len(matched_calib_dir) == 0: - msgs.error('Matched to zero setups. The calibrations files are stale/wrong/corrupt.') - elif len(matched_calib_dir) > 1: - msgs.warn('Matched to multiple setups. This should not have happened, but we will take ' - 'the first.') + Args: + calibrated_setups (array-like): + The list of setup identifiers with existing calibrations. This can + be the list of keys in the top-level dictionary returned by + :func:`calib_manifest`. This is used to determine the next + identifier for new setups to be calibrated. *All* existing setups + and every setup in ``calib_match`` must be included in this list. + calib_match (:obj:`dict`): + A dictionary that provides, for each new setup to be reduced, the + matched set of existing calibrations, if there are any. See + :func:`match_to_calibs`. The identifier for any matched setup must + be included in ``calibrated_setups``. + frame_setup (array-like): + The setups associated with each frame in the new set of reductions. - return matched_calib_dir[0] + Returns: + :obj:`list`: The list of replacement setups for each frame that + consolidates existing calibrations with new ones. + """ + # These are the identifiers that have been assigned to the new setups + new_setup = np.array(list(calib_match.keys()), dtype=object) + # These are the existing setups. Any value here that is None means we need + # to get a new setup identifier. + old_setup = np.array([None if calib_match[setup] is None else calib_match[setup]['setup'] + for setup in new_setup], dtype=object) + # Set any new setup identifiers so that they don't conflict with existing ones + gen = metadata.PypeItMetaData.configuration_generator() + while None in old_setup: + setup = next(gen) + if setup in calibrated_setups: + continue + old_setup[np.where(old_setup == None)[0][0]] = setup + # Associate each frame with an existing setup or a new one + _frame_setup = np.asarray(frame_setup, dtype=object) + new_frame_setup = np.empty_like(_frame_setup) + for i,setup in enumerate(new_setup): + new_frame_setup[_frame_setup == setup] = old_setup[i] + return new_frame_setup.tolist() def get_setup_calib(calib_dir): @@ -618,7 +716,7 @@ def main(args): if args.stack: if bkg_redux: msgs.warn('Dither pattern automatically detected for these observations. ' - 'Ignoring request to stack all observations. Image combination ' + 'Will not stack observations. Image combination ' 'and background subtraction sequences automatically set; confirm ' 'the behavior is what you want by checking the auto-generated ' 'pypeit file.') @@ -627,6 +725,11 @@ def main(args): ps_sci.fitstbl['comb_id'][ps_sci.fitstbl.find_frames('science')] = 1 ps_sci.fitstbl['comb_id'][ps_sci.fitstbl.find_frames('standard')] = 2 + # TODO: What happens if "no_stack" is set but bkg_redux is True? + # Should we ignore this and do the difference imaging anyway, or + # should we assume the user truly wants each frame to be treated + # independently? + # Check that all the frames are assigned to the same calibration group # NOTE: This is largely superfluous given the use of get_setup_calib # in generate_sci_pyepitfile, but it's useful to keep the warning @@ -640,6 +743,9 @@ def main(args): # The parent directory has been defined, so try to find a # relevant set of existing calibrations setup_calib_dir = match_to_calibs(ps_sci, args.parent_calib_dir) + if setup_calib_dir is None: + msgs.error('No calibrations exist or could not find appropriate setup match ' + f'in provided parent directory: {args.parent_calib_dir}') msgs.info(f'Attempting to use archived calibrations found in {setup_calib_dir}.') elif not args.calibs_only: @@ -650,8 +756,24 @@ def main(args): # Calibrate, if necessary if setup_calib_dir is None: msgs.info('Building the processed calibration frames.') + # Set the parent directory parent_calib_dir = args.redux_path if args.parent_calib_dir is None \ else args.parent_calib_dir + # Find all of the existing calibrations for this setup in the parent + # directory + calibrated_setups = calib_manifest(parent_calib_dir, ps.spectrograph.name) + if calibrated_setups is not None: + # Match the setups of the frames to be reduced to the existing + # setups + calib_match = match_to_calibs(ps, parent_calib_dir, + calibrated_setups=calibrated_setups) + # Edit the setup column in the metadata table so that existing + # setups are updated and new setups are reduced with a unique + # identifier, following the nominal sequence + ps.fitstbl['setup'] = merge_setups(list(calibrated_setups.keys()), calib_match, + ps.fitstbl['setup']) + # Force an update of the configurations + ps.fitstbl.unique_configurations(force=True) # Generate PypeIt files (and folders) calib_pypeit_files = ps.generate_ql_calib_pypeit_files( @@ -691,7 +813,7 @@ def main(args): pypeIt.calib_all() if args.calibs_only or not any(sci_idx): - msgs.info('Only calibrations exist or request calibration processing only. Exiting.') + msgs.info('Only calibrations exist or requested calibration processing only. Done.') return # Build the PypeIt file for the science frames and link to the existing diff --git a/pypeit/scripts/run_pypeit.py b/pypeit/scripts/run_pypeit.py index f6e72aaabb..f2a0d01d70 100644 --- a/pypeit/scripts/run_pypeit.py +++ b/pypeit/scripts/run_pypeit.py @@ -60,7 +60,8 @@ def get_parser(cls, width=None): parser.add_argument('-r', '--redux_path', default=None, help='Path to directory for the reduction. Only advised for testing') - parser.add_argument('-m', '--do_not_reuse_calibs', default=False, action='store_true', + parser.add_argument('-m', '--do_not_reuse_calibs', dest='reuse_calibs', default=True, + action='store_false', help='Do not load previously generated calibrations, even ones made ' 'during the run.') parser.add_argument('-s', '--show', default=False, action='store_true', @@ -81,8 +82,7 @@ def get_parser(cls, width=None): def main(args): import os - - import numpy as np + from IPython import embed from pypeit import pypeit from pypeit import msgs @@ -95,10 +95,8 @@ def main(args): # Instantiate the main pipeline reduction object pypeIt = pypeit.PypeIt(args.pypeit_file, verbosity=args.verbosity, - reuse_calibs=np.invert(args.do_not_reuse_calibs), - overwrite=args.overwrite, - redux_path=args.redux_path, - calib_only=args.calib_only, + reuse_calibs=args.reuse_calibs, overwrite=args.overwrite, + redux_path=args.redux_path, calib_only=args.calib_only, logname=logname, show=args.show) if args.calib_only: diff --git a/pypeit/scripts/setup_coadd2d.py b/pypeit/scripts/setup_coadd2d.py index dda27e9b43..0fef9aa2f0 100644 --- a/pypeit/scripts/setup_coadd2d.py +++ b/pypeit/scripts/setup_coadd2d.py @@ -1,5 +1,5 @@ """ -Script for preparing a 2d coadds configuration file. +Script for preparing a 2d-coadd configuration file. .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst @@ -17,13 +17,13 @@ def get_parser(cls, width=None): parser.add_argument('pypeit_file', type=str, default=None, help='PypeIt reduction file') parser.add_argument('--keep_par', dest='clean_par', default=True, action='store_false', - help='Do not propagate any parameters from the pypeit file to the ' - 'coadd2d file(s). If not set, only the required parameters and ' - 'their default values are included in the output file(s).') + help='Propagate all parameters from the pypeit file to the coadd2d ' + 'file(s). If not set, only the required parameters and their ' + 'default values are included in the output file(s).') parser.add_argument('--obj', type=str, nargs='+', help='Limit the coadd2d files created to observations of the ' 'specified target. If not provided, a coadd2D file is written ' - 'for each target found in the Science directory. The target ' + 'for each target found in the science directory. The target ' 'names are included in the PypeIt spec2d file names.' 'For example, the target for spec2d file ' '"spec2d_cN20170331S0216-pisco_GNIRS_20170331T085412.181.fits" ' @@ -80,7 +80,7 @@ def main(args): else [f.name.split('-')[1].split('_')[0] for f in spec2d_files]) if args.obj is not None: # Limit to the selected objects - _objects = [o for o in objects if o in args.obj] + _objects = [o for o in objects if o == args.obj] # Check some were found if len(_objects) == 0: msgs.error('Unable to find relevant objects. Unique objects are ' @@ -99,7 +99,9 @@ def main(args): if len(object_spec2d_files.keys()) == 0: msgs.error('Unable to match any spec2d files to objects.') - # Add the paths to make sure they match the pypeit file + # Add the paths to make sure they match the pypeit file. + # NOTE: cfg does *not* need to include the spectrograph parameter in + # rdx. This is added by `CoAdd2D.default_par`. cfg = {} if args.clean_par else dict(pypeitFile.config) utils.add_sub_dict(cfg, 'rdx') cfg['rdx']['redux_path'] = par['rdx']['redux_path'] diff --git a/pypeit/scripts/trace_edges.py b/pypeit/scripts/trace_edges.py index 09133573d2..c69bcb1a78 100644 --- a/pypeit/scripts/trace_edges.py +++ b/pypeit/scripts/trace_edges.py @@ -59,12 +59,10 @@ def main(args): import time from pathlib import Path - import os import numpy as np from pypeit import msgs from pypeit.spectrographs.util import load_spectrograph from pypeit import edgetrace - from pypeit import slittrace from pypeit.pypeit import PypeIt from pypeit.images import buildimage @@ -76,7 +74,7 @@ def main(args): if args.pypeit_file is not None: pypeit_file = Path(args.pypeit_file).resolve() if not pypeit_file.exists(): - raise FileNotFoundError(f'File does not exist: {pypeit_file}') + msgs.error(f'File does not exist: {pypeit_file}') redux_path = pypeit_file.parent if args.redux_path is None \ else Path(args.redux_path).resolve() @@ -87,7 +85,7 @@ def main(args): # Get the calibration group to use group = np.unique(rdx.fitstbl['calib'])[0] if args.group is None else args.group if group not in np.unique(rdx.fitstbl['calib']): - raise ValueError('Not a valid calibration group: {0}'.format(group)) + msgs.error(f'Invalid calibration group: {group}') # Find the rows in the metadata table with trace frames in the # specified calibration group tbl_rows = rdx.fitstbl.find_frames('trace', calib_ID=int(group), index=True) @@ -126,7 +124,7 @@ def main(args): binning = '1,1' if args.binning is None else args.binning trace_file = Path(args.trace_file).resolve() if not trace_file.exists(): - raise FileNotFoundError(f'File does not exist: {trace_file}') + msgs.error(f'File does not exist: {trace_file}') files = [str(trace_file)] redux_path = trace_file.parent if args.redux_path is None \ else Path(args.redux_path).resolve() diff --git a/pypeit/spectrographs/gtc_osiris.py b/pypeit/spectrographs/gtc_osiris.py index 92f6409a14..99c1dcc54f 100644 --- a/pypeit/spectrographs/gtc_osiris.py +++ b/pypeit/spectrographs/gtc_osiris.py @@ -402,7 +402,7 @@ def bpm(self, filename, det, shape=None, msbias=None): Required if filename is None Ignored if filename is not None msbias (`numpy.ndarray`_, optional): - Processe bias frame used to identify bad pixels. **This is + Processed bias frame used to identify bad pixels. **This is ignored for KCWI.** Returns: diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index 72133d97e3..880b6c4f50 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -404,43 +404,56 @@ def raw_header_cards(self): """ return ['MASKNAME', 'OBSMODE', 'FILTER'] - def modify_config(self, fitstbl, cfg): + def modify_config(self, row, cfg): """ - Modify the configuration dictionary for a given frame. This method is used - in :func:`pypeit.metadata.PypeItMetaData.set_configurations` to modify in place - the configuration requirement to assign a specific frame to the current setup. - This is needed for the reduction of 'LONGSLIT' and 'long2pos' data, which often use - calibrations taken with a different decker (MASKNAME). + Modify the configuration dictionary for a given frame. This method is + used in :func:`~pypeit.metadata.PypeItMetaData.set_configurations` to + modify in place the configuration requirement to assign a specific frame + to the current setup. - - For the 'LONGSLIT' masks, when we are assigning a configuration to a calibration file - that was taken with the longest slit available (46 CSUs), since these calibrations are - generally used for the reduction of science frames with shorter slits, we remove the - configuration requirement on the slit lenght for the current file. + This is needed for the reduction of 'LONGSLIT' and 'long2pos' data, + which often use calibrations taken with a different decker (MASKNAME). - - For the 'long2pos' masks, when we are assigning a configuration to a calibration file - that was taken with the 'long2pos' mask, since these calibrations are generally used - for the reduction of science frames taken with 'long2pos_specphot' masks, we modify the - configuration requirement on the decker_secondary for the current file. + - For the 'LONGSLIT' masks, when we are assigning a configuration to + a calibration file that was taken with the longest slit available + (46 CSUs), since these calibrations are generally used for the + reduction of science frames with shorter slits, we remove the + configuration requirement on the slit length for the current file. + + - For the 'long2pos' masks, when we are assigning a configuration to + a calibration file that was taken with the 'long2pos' mask, since + these calibrations are generally used for the reduction of science + frames taken with 'long2pos_specphot' masks, we modify the + configuration requirement on the decker_secondary for the current + file. Args: - fitstbl(`astropy.table.Table`_): - The table with the metadata for one frames. + row (`astropy.table.Row`_): + The table row with the metadata for one frame. cfg (:obj:`dict`): - dictionary with metadata associated to a specific configuration. + Dictionary with metadata associated to a specific configuration. Returns: - :obj:`dict`: modified dictionary with metadata associated to a specific configuration. + :obj:`dict`: modified dictionary with metadata associated to a + specific configuration. """ - if fitstbl['decker'] is not None and cfg['decker_secondary'] is not None and 'LONGSLIT' in fitstbl['decker'] \ - and 'LONGSLIT' in cfg['decker_secondary'] and 'science' not in fitstbl['frametype'] and\ - 'standard' not in fitstbl['frametype'] and fitstbl['slitlength'] == 46.: + if row['decker'] is not None \ + and cfg['decker_secondary'] is not None \ + and 'LONGSLIT' in row['decker'] \ + and 'LONGSLIT' in cfg['decker_secondary'] \ + and 'science' not in row['frametype'] \ + and 'standard' not in row['frametype'] \ + and row['slitlength'] == 46.: cfg2 = copy.deepcopy(cfg) cfg2.pop('slitlength') return cfg2 - if fitstbl['decker'] is not None and cfg['decker_secondary'] is not None and 'long2pos' in fitstbl['decker'] and \ - 'long2pos' in cfg['decker_secondary'] and 'science' not in fitstbl['frametype'] \ - and 'standard' not in fitstbl['frametype']: + if row['decker'] is not None \ + and cfg['decker_secondary'] is not None \ + and 'long2pos' in row['decker'] \ + and 'long2pos' in cfg['decker_secondary'] \ + and 'science' not in row['frametype'] \ + and 'standard' not in row['frametype']: cfg2 = copy.deepcopy(cfg) cfg2['decker_secondary'] = 'long2pos' return cfg2 diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index fc886ead22..685215bed3 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -28,7 +28,6 @@ from abc import ABCMeta from pathlib import Path -import os from IPython import embed @@ -224,14 +223,21 @@ def update_edgetracepar(self, par): return par - def ql_par(self): - """ Generate a list of QL specific parameters + # TODO: Include a script in doc/ that will automatically document the + # parameters set here. + @staticmethod + def ql_par(): + """ + Return the list of parameters specific to quick-look reduction of + science frames for this spectrograph. - The ones below are the default for any spectrograph. - They may be over-ridden by the specific spectrograph module + The following parameters are set by default for any spectrograph. + Derived classes may override this function. Returns: - list: List of QL specific parameters. + :obj:`dict`: Dictionary with a form that matches + :class:`~pypeit.par.pypeitpar.PypeItPar` with the parameters to be + set. """ return dict( # Calibration + misc @@ -264,25 +270,6 @@ def ql_par(self): ) ) -# ql_cfg = ['[rdx]', -# ' ignore_bad_headers = True', -# '[baseprocess]', -# 'use_biasimage = False', -# '[calibrations]', -# ' raise_chk_error = False', -# ' [[flatfield]]', -# ' saturated_slits = mask'] -# ql_cfg += ['[scienceframe]', -# ' [[process]]', -# ' mask_cr = False', -# '[reduce]', -# ' [[extraction]]', -# ' skip_optimal = True', -# ' [[findobj]]', -# ' skip_second_find = True'] -# return ql_cfg - - def _check_extensions(self, filename): """ Check if this filename has an allowed extension @@ -450,36 +437,6 @@ def orient_image(self, detector_par, rawimage): image = np.flip(image, axis=1) return image - - -# def parse_dither_pattern(self, file_list, ext=None): -# """ -# Parse headers from a file list to determine the dither pattern. -# -# Parameters -# ---------- -# file_list (list of strings): -# List of files for which dither pattern is desired -# ext (int, optional): -# Extension containing the relevant header for these files. Default=None. If None, code uses -# self.primary_hdrext -# -# Returns -# ------- -# dither_pattern, dither_id, offset_arcsec -# -# dither_pattern (str `numpy.ndarray`_): -# Array of dither pattern names -# dither_id (str `numpy.ndarray`_): -# Array of dither pattern IDs -# offset_arc (float `numpy.ndarray`_): -# Array of dither pattern offsets -# """ -# nfiles = len(file_list) -# dummy_str_array = np.array(nfiles*['']) -# dummy_id_array = np.array(nfiles*['A']) -# return dummy_str_array, dummy_id_array, np.zeros(nfiles) - # TODO: JFH Are these bad pixel masks in the raw frame, or the # flipped/transposed pypeit frame?? KBW: Does the new description of # "shape" answer this? (JXP please check I edited this correctly). @@ -725,7 +682,55 @@ def configuration_keys(self): object. """ return ['dispname', 'dichroic', 'decker'] - + + def same_configuration(self, configs): + """ + Check if a set of instrument setup/configurations are all the same, + within the tolerance set for this spectrograph for each configuration + key. + + Args: + configs (:obj:`dict`, array-like): + A list or dictionary of configuration parameters. Each list or + dictionary element must be a dictionary with the values for the + configuration-defining metadata parameters for this + spectrograph. + + Returns: + :obj:`bool`: Flag that all configurations in the list are the same. + """ + cfg_id = list(configs.keys() if isinstance(configs, dict) else range(len(configs))) + # The list of metadata keys used to define a unique configuration + cfg_meta = self.configuration_keys() + # Check that the relevant keys are in the first configuration + for key in cfg_meta: + if key not in configs[cfg_id[0]].keys(): + msgs.error(f'Configuration {cfg_id[0]} missing required key, {key}. Cannot ' + 'determine if configurations are the same!') + if key not in self.meta.keys(): + msgs.error(f'CODING ERROR: {key} is a configuration key but not defined in the ' + f'metadata dictionary for {self.__class__.__name__}!') + + # Match against all of the other configurations + for _cfg_id in cfg_id[1:]: + matched = [] + for key in cfg_meta: + if key not in configs[_cfg_id].keys(): + msgs.error(f'Configuration {_cfg_id} missing required key, {key}. Cannot ' + 'determine if configurations are the same!') + # TODO: Instead check if 'rtol' exists and is not None? + if isinstance(configs[_cfg_id][key], (float, np.floating)): + # NOTE: No float-valued metadata can be 0! + matched += [np.abs(configs[cfg_id[0]][key]-configs[_cfg_id][key]) + / configs[cfg_id[0]][key] < self.meta[key]['rtol']] + else: + matched += [np.all(configs[cfg_id[0]][key] == configs[_cfg_id][key])] + if not np.all(matched): + # We found a difference so return + return False + # Went through all configurations and didn't find any differences + return True + def raw_header_cards(self): """ Return additional raw header cards to be propagated in @@ -746,24 +751,25 @@ def raw_header_cards(self): """ return [] - def modify_config(self, fitstbl, cfg): + def modify_config(self, row, cfg): """ - Modify the configuration dictionary for a given frame. This method is used - in :func:`pypeit.metadata.PypeItMetaData.set_configurations` to modify in place - the configuration requirement to assign a specific frame to the current setup. + Modify the configuration dictionary for a given frame. This method is + used in :func:`~pypeit.metadata.PypeItMetaData.set_configurations` to + modify in place the configuration requirement to assign a specific frame + to the current setup. **This method is not defined for all spectrographs.** Args: - fitstbl(`astropy.table.Table`_): - The table with the metadata for one frames. + row (`astropy.table.Row`_): + The table row with the metadata for one frame. cfg (:obj:`dict`): - dictionary with metadata associated to a specific configuration. + Dictionary with metadata associated to a specific configuration. Returns: - :obj:`dict`: modified dictionary with metadata associated to a specific configuration. + :obj:`dict`: modified dictionary with metadata associated to a + specific configuration. """ - return cfg def valid_configuration_values(self): @@ -808,7 +814,7 @@ def vet_instrument(self, meta_tbl): 'Proceed with great caution...') # Check the name if instr_names[0] != self.header_name: - msgs.warn('The instrument name in the headers of the raw files do not match the ' + msgs.warn('The instrument name in the headers of the raw files does not match the ' f'expected one! Found {instr_names[0]}, expected {self.header_name}. ' 'You may have chosen the wrong PypeIt spectrograph name!') diff --git a/pypeit/tests/test_calibframe.py b/pypeit/tests/test_calibframe.py index e0c96e0731..d8e12db330 100644 --- a/pypeit/tests/test_calibframe.py +++ b/pypeit/tests/test_calibframe.py @@ -14,14 +14,10 @@ class NoTypeCalibFrame(CalibFrame): - # These are the minimal things that need to be defined to actually - # instantiate a derive class of CalibFrame version = '1.0.0' class MissingPYPSPECCalibFrame(CalibFrame): - # These are the minimal things that need to be defined to actually - # instantiate a derive class of CalibFrame version = '1.0.0' calib_type = 'Junk' datamodel = {'Junk': dict(otype=str)} @@ -39,8 +35,11 @@ def test_implementation_faults(): # datamodel does not exist. with pytest.raises(ValueError): calib = CalibFrame() + # Any calibframe needs to define its type with pytest.raises(PypeItError): calib = NoTypeCalibFrame() + # The elements of the base-class datamodel *must* exist in all its derived + # classes. with pytest.raises(PypeItError): calib = MissingPYPSPECCalibFrame() diff --git a/pypeit/tests/test_metadata.py b/pypeit/tests/test_metadata.py index 64dab52238..002691c712 100644 --- a/pypeit/tests/test_metadata.py +++ b/pypeit/tests/test_metadata.py @@ -78,3 +78,20 @@ def test_nirspec_lamps(): assert np.array_equal(tst, np.array([False, False, False, False, False, True, True, True])) +def test_setup_iter(): + + gen = PypeItMetaData.configuration_generator() + assert next(gen) == 'A', 'First setup identifier changed' + + end = False + while not end: + try: + setup = next(gen) + except StopIteration: + end = True + + assert setup == 'ZZ', 'Last setup identifier changed' + assert len(list(PypeItMetaData.configuration_generator())) \ + == PypeItMetaData.maximum_number_of_configurations(), \ + 'Number of configuration identifiers changed' + diff --git a/pypeit/tests/test_ql.py b/pypeit/tests/test_ql.py new file mode 100644 index 0000000000..6d07af5fba --- /dev/null +++ b/pypeit/tests/test_ql.py @@ -0,0 +1,59 @@ + +from IPython import embed + +from pypeit.metadata import PypeItMetaData +from pypeit.scripts import ql + +def test_merge(): + + # There are two existing setups, 'A', 'B', and the new reductions use the + # same setup as 'B'. + existing_setups = ['A', 'B'] + calib_match = {'A': dict(setup='B')} + frame_setup = ['A', 'A', 'A'] + new_frame_setup = ql.merge_setups(existing_setups, calib_match, frame_setup) + assert new_frame_setup == ['B', 'B', 'B'], 'Bad setup replacement' + + # There is one existing setup, 'A', but the new reductions are from a + # different setup. This assigns that new setup to 'B'. + existing_setups = ['A'] + calib_match = {'A': None} + frame_setup = ['A', 'A', 'A'] + new_frame_setup = ql.merge_setups(existing_setups, calib_match, frame_setup) + assert new_frame_setup == ['B', 'B', 'B'], 'Bad setup replacement' + + # Somehow a previous set of calibration set was deleted, such that the setup + # identifier is irregular. This creates the new setup identifier in sequence. + existing_setups = ['A', 'C'] + calib_match = {'A': None} + frame_setup = ['A', 'A', 'A'] + new_frame_setup = ql.merge_setups(existing_setups, calib_match, frame_setup) + assert new_frame_setup == ['B', 'B', 'B'], 'Bad setup replacement' + + # There are two existing setups, 'A', 'B', and two new setups to be reduced. + # The new 'A' setup matches the existing 'A' setup, but the new 'B' setup + # does not match either of the existing ones. This matches the relevant + # frames to the existing setup and adds the new setup identifier. + existing_setups = ['A', 'B'] + calib_match = {'A': dict(setup='A'), 'B': None} + frame_setup = ['A', 'A', 'A', 'B', 'B', 'B'] + new_frame_setup = ql.merge_setups(existing_setups, calib_match, frame_setup) + assert new_frame_setup == ['A', 'A', 'A', 'C', 'C', 'C'], 'Bad setup replacement' + + # Adding multiple new setups. + existing_setups = ['A', 'B'] + calib_match = {'A': None, 'B': None} + frame_setup = ['A', 'A', 'A', 'B', 'B', 'B'] + new_frame_setup = ql.merge_setups(existing_setups, calib_match, frame_setup) + assert new_frame_setup == ['C', 'C', 'C', 'D', 'D', 'D'], 'Bad setup replacement' + + # Make sure that the function can handle the identifiers with two + # characters. + existing_setups = ['AA'] + calib_match = {'A': dict(setup='AA')} + frame_setup = ['A', 'A', 'A'] + new_frame_setup = ql.merge_setups(existing_setups, calib_match, frame_setup) + assert new_frame_setup == ['AA', 'AA', 'AA'], 'Bad setup replacement' + + + diff --git a/pypeit/tests/test_spectrographs.py b/pypeit/tests/test_spectrographs.py index 74d65c44d9..45d0617477 100644 --- a/pypeit/tests/test_spectrographs.py +++ b/pypeit/tests/test_spectrographs.py @@ -2,6 +2,7 @@ Module to test spectrograph read functions """ import os +from copy import deepcopy from IPython import embed @@ -61,3 +62,35 @@ def test_select_detectors_mosaic(): assert spec.select_detectors(subset=[3,(1,2,3)]) == [3,(1,2,3)], 'Bad detector selection' +def test_configs(): + + spec = load_spectrograph('keck_deimos') + cfg1 = dict(amp='"SINGLE:B"', + binning='1,1', + decker='LongMirr', + dispangle=8099.98291016, + dispname='830G', + filter1='OG550') + cfg2 = dict(amp='"SINGLE:B"', + binning='1,1', + decker='LongMirr', + dispangle=8399.93554688, + dispname='830G', + filter1='OG550') + + assert spec.same_configuration([cfg1,cfg1]), 'Configurations should be the same' + assert not spec.same_configuration([cfg1,cfg2]), 'Configurations should be different' + + cfg3 = deepcopy(cfg1) + cfg3['dispangle'] *= (1.+spec.meta['dispangle']['rtol']/2) + + assert spec.same_configuration([cfg1,cfg3]), \ + 'Configurations should be the same within tolerance' + + cfg3 = deepcopy(cfg1) + cfg3['dispangle'] *= (1.+2*spec.meta['dispangle']['rtol']) + + assert not spec.same_configuration([cfg1,cfg3]), \ + 'Configurations should not be the same within tolerance' + + diff --git a/pypeit/tests/test_utils.py b/pypeit/tests/test_utils.py index 6719dfaeca..bbeafb9ade 100644 --- a/pypeit/tests/test_utils.py +++ b/pypeit/tests/test_utils.py @@ -117,6 +117,18 @@ def test_yamlify(): os.remove(tst_file) +def test_add_sub_dict(): + d = {} + utils.add_sub_dict(d, 'test') + assert d == {'test': {}}, 'add_sub_dict failure' + d['test'] = 'this' + utils.add_sub_dict(d, 'test') + assert d == {'test': 'this'}, 'add_sub_dict failure' + utils.add_sub_dict(d, 'and') + d['and'] = 'that' + assert d == {'test': 'this', 'and': 'that'}, 'add_sub_dict failure' + + def test_recursive_update(): d = {} d['rdx'] = dict(spectrograph='shane_kast_blue') @@ -126,5 +138,3 @@ def test_recursive_update(): d = utils.recursive_update(d, u) assert sorted(list(d['rdx'].keys())) == ['detnum', 'spectrograph'], 'Missing merged keys' - - \ No newline at end of file diff --git a/pypeit/tests/tstutils.py b/pypeit/tests/tstutils.py index 2ffe5f0c45..8605c76d5b 100644 --- a/pypeit/tests/tstutils.py +++ b/pypeit/tests/tstutils.py @@ -146,7 +146,7 @@ def dummy_fitstbl(nfile=10, spectro_name='shane_kast_blue', directory='', notype fitstbl.set_frame_types(type_bits) # Calibration groups cfgs = fitstbl.unique_configurations() #ignore_frames=['bias', 'dark']) - fitstbl.set_configurations(cfgs) + fitstbl.set_configurations(configs=cfgs) fitstbl.set_calibration_groups() #global_frames=['bias', 'dark']) return fitstbl diff --git a/pypeit/utils.py b/pypeit/utils.py index b91f4bed7c..249adde001 100644 --- a/pypeit/utils.py +++ b/pypeit/utils.py @@ -1073,10 +1073,7 @@ def recursive_update(d, u): :obj:`dict`: The updated dictionary. """ for k, v in u.items(): - if isinstance(v, collections.abc.Mapping): - d[k] = recursive_update(d.get(k, {}), v) - else: - d[k] = v + d[k] = recursive_update(d.get(k, {}), v) if isinstance(v, collections.abc.Mapping) else v return d diff --git a/setup.cfg b/setup.cfg index 7d96cc03a6..cf9b8c146c 100644 --- a/setup.cfg +++ b/setup.cfg @@ -114,7 +114,7 @@ console_scripts = pypeit_parse_slits = pypeit.scripts.parse_slits:ParseSlits.entry_point pypeit_qa_html = pypeit.scripts.qa_html:QAHtml.entry_point pypeit_ql = pypeit.scripts.ql:QL.entry_point - pypeit_ql_jfh_multislit = pypeit.scripts.ql_multislit:QL_Multislit.entry_point + #pypeit_ql_jfh_multislit = pypeit.scripts.ql_multislit:QL_Multislit.entry_point run_pypeit = pypeit.scripts.run_pypeit:RunPypeIt.entry_point pypeit_sensfunc = pypeit.scripts.sensfunc:SensFunc.entry_point pypeit_setup = pypeit.scripts.setup:Setup.entry_point From bd0fe11e098e9fa7176eae8b088449c60d31ce31 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Fri, 28 Apr 2023 10:42:37 -1000 Subject: [PATCH 260/308] kyle's comment on the docs --- doc/calibrations/image_proc.rst | 4 ++-- pypeit/core/procimg.py | 12 ++++++------ 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/doc/calibrations/image_proc.rst b/doc/calibrations/image_proc.rst index 3407a6002d..590de498f1 100644 --- a/doc/calibrations/image_proc.rst +++ b/doc/calibrations/image_proc.rst @@ -62,7 +62,7 @@ that isolate the detector bias, dark current, and relative throughput, to find: .. math:: - c = s\ \left[ g\ (p - O - B) - N_{\rm bin}\ D\ t_{\rm exp} \right] + c = s\prime / N_{\rm frames}\ \left[ g\ (p - O - B) - N_{\rm bin}\ D\ t_{\rm exp} \right] During this process, we also generate a noise model for the result of the image processing, calculated using :func:`~pypeit.core.procimg.variance_model`. The @@ -70,7 +70,7 @@ full variance model, :math:`V`, is: .. math:: - V = s^2\ \left[ {\rm max}(0, C) + N_{\rm bin}\ D\ t_{\rm exp} + + V = s\prime^2 / N_{\rm frames}^2\ \left[ {\rm max}(0, C) + N_{\rm bin}\ D\ t_{\rm exp} + V_{\rm rn} + V_{\rm proc} \right] + \epsilon^2 {\rm max}(0, c)^2 where diff --git a/pypeit/core/procimg.py b/pypeit/core/procimg.py index 8d8aeabb08..ef2c2cce29 100644 --- a/pypeit/core/procimg.py +++ b/pypeit/core/procimg.py @@ -1112,9 +1112,9 @@ def base_variance(rn_var, darkcurr=None, exptime=None, proc_var=None, count_scal - :math:`c=s\ C` are the rescaled observed sky + object counts, - :math:`C` is the observed number of sky + object counts, - - :math:`s` is a scale factor derived from the (inverse of the) - flat-field frames plus the number of frames contributing - to the object counts (see ``count_scale``), + - :math:`s=s\prime / N_{\rm frames}` is a scale factor derived + from the (inverse of the) flat-field frames plus the number + of frames contributing to the object counts (see ``count_scale``), - :math:`D` is the dark current in electrons per **hour** (see ``darkcurr``), - :math:`t_{\rm exp}` is the effective exposure time in seconds (see @@ -1242,9 +1242,9 @@ def variance_model(base, counts=None, count_scale=None, noise_floor=None): - :math:`c=s\ C` are the rescaled observed sky + object counts (see ``counts``), - :math:`C` is the observed number of sky + object counts, - - :math:`s` is a scale factor derived from the (inverse of the) - flat-field frames plus the number of frames contributing - to the object counts (see ``count_scale``), + - :math:`s=s\prime / N_{\rm frames}` is a scale factor derived + from the (inverse of the) flat-field frames plus the number + of frames contributing to the object counts (see ``count_scale``), - :math:`D` is the dark current in electrons per **hour**, - :math:`t_{\rm exp}` is the effective exposure time in seconds, - :math:`V_{\rm rn}` is the detector readnoise variance (i.e., From ecd0d4ca2e2f35f6a18f623cf81fcb74b5e55ae5 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 28 Apr 2023 16:52:21 -0700 Subject: [PATCH 261/308] Allow list of `-r` directories to be passed to `pypeit_setup` For instance, specify a set of directories with a wildcard in the `-r` option to `pypeit_setup`. Changes are: * Allow list of entries to `-r` * Properly deal with lists when globbing the files in the specified directories modified: pypeit/io.py modified: pypeit/scripts/setup.py --- pypeit/io.py | 21 ++++++++++++++++----- pypeit/scripts/setup.py | 2 +- 2 files changed, 17 insertions(+), 6 deletions(-) diff --git a/pypeit/io.py b/pypeit/io.py index 1e4f29c148..56bb8afb50 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -865,8 +865,19 @@ def files_from_extension(raw_path:str, Returns: list: List of raw data filenames (sorted) with full path """ - # Grab the list of files - dfname = os.path.join(raw_path, f'*{extension}*') \ - if os.path.isdir(raw_path) else f'{raw_path}*{extension}*' - return sorted(glob.glob(dfname)) - + if isinstance(raw_path, str): + # Grab the list of files + dfname = os.path.join(raw_path, f'*{extension}*') \ + if os.path.isdir(raw_path) else f'{raw_path}*{extension}*' + return sorted(glob.glob(dfname)) + elif isinstance(raw_path, list): + # Loop over the list + retlist = [] + for rpath in raw_path: + # Grab the list of files + dfname = os.path.join(rpath, f'*{extension}*') \ + if os.path.isdir(rpath) else f'{rpath}*{extension}*' + retlist += sorted(glob.glob(dfname)) + return retlist + else: + msgs.error(f"Incorrect type {type(raw_path)} for raw_path (must be str or list)") diff --git a/pypeit/scripts/setup.py b/pypeit/scripts/setup.py index acea6d8458..3a1735ba19 100644 --- a/pypeit/scripts/setup.py +++ b/pypeit/scripts/setup.py @@ -23,7 +23,7 @@ def get_parser(cls, width=None): parser.add_argument('-s', '--spectrograph', default=None, type=str, help='A valid spectrograph identifier: {0}'.format( ', '.join(available_spectrographs))) - parser.add_argument('-r', '--root', default='current working directory', type=str, + parser.add_argument('-r', '--root', default='current working directory', type=str, nargs='*', help='Root to search for data files. You can provide the top-level ' 'directory (e.g., /data/Kast) or the search string up through ' 'the wildcard (.e.g, /data/Kast/b). Use the --extension option ' From 13b5cdd99fb1e10e8c6ba217aaa92c3414f58b3b Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Fri, 28 Apr 2023 15:35:35 -1000 Subject: [PATCH 262/308] updated CHANGES --- CHANGES.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/CHANGES.rst b/CHANGES.rst index 80171e70f2..7c8c6a8117 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -10,6 +10,7 @@ - Added the option to disable strict version checking for 1d coadds. - Hotfix for KCWI when using alignment (aka ContBars) frames for the astrometric correction. - Sensitivity function masking and output updates +- Fix to the `variance_model` calculation for combined images. 1.12.2 (29 Mar 2023) -------------------- From 4097e825ac716548d2cc618f08c02eb15fb5d6d9 Mon Sep 17 00:00:00 2001 From: deborape Date: Fri, 28 Apr 2023 15:39:09 -1000 Subject: [PATCH 263/308] added dither offsets option --- CHANGES.rst | 2 ++ doc/tutorials/coadd2d_howto.rst | 1 + pypeit/coadd2d.py | 12 ++++++++++++ pypeit/par/pypeitpar.py | 7 ++++--- pypeit/spectrographs/keck_deimos.py | 3 +++ pypeit/spectrographs/keck_mosfire.py | 4 ++++ pypeit/spectrographs/keck_nires.py | 4 ++++ 7 files changed, 30 insertions(+), 3 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 80171e70f2..5105742afa 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -10,6 +10,8 @@ - Added the option to disable strict version checking for 1d coadds. - Hotfix for KCWI when using alignment (aka ContBars) frames for the astrometric correction. - Sensitivity function masking and output updates +- Added the possibility to use dither offsets saved in the header of the science frames for + coadding 2D spectra (``dithoff`` must be part of the spectrograph metadata). 1.12.2 (29 Mar 2023) -------------------- diff --git a/doc/tutorials/coadd2d_howto.rst b/doc/tutorials/coadd2d_howto.rst index 3dba21201f..4f5563b35d 100644 --- a/doc/tutorials/coadd2d_howto.rst +++ b/doc/tutorials/coadd2d_howto.rst @@ -104,6 +104,7 @@ Here are the options: - ``offsets = maskdef_offsets``: PypeIt will use the offsets, determined during the main reduction run, between the position of the extracted objects and their expected position from the slitmask design information. +- ``offsets = header``: PypeIt will use the dither offsets recorded in the header, if available. .. note:: diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index e2160603d1..76c740fe09 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -149,6 +149,7 @@ def __init__(self, spec2d, spectrograph, par, det=1, offsets=None, weights='auto # 2) offsets not 'auto' (i.e. a list) - use them # -------------- only for Multislit -------------- # 3) offsets = 'maskdef_offsets' - use `maskdef_offset` saved in SlitTraceSet + # 4) offsets = 'header' - use the dither offsets recorded in the header # =============================================================================== # weights # 1) weights = 'auto' -- if brightest object exists auto compute weights, @@ -885,6 +886,17 @@ def compute_offsets(self, offsets): """ msgs.info('Get Offsets') + # 0) offsets are provided in the header of the spec2d files + if offsets== 'header': + msgs.info('Using offsets from header') + pscale = self.stack_dict['detectors'][0].platescale + dithoffs = [self.spectrograph.get_meta_value(f, 'dithoff') for f in self.spec2d] + if None in dithoffs: + msgs.error('Dither offsets keyword not found for one or more spec2d files. ' + 'Choose another option for `offsets`') + dithoffs_pix = - np.array(dithoffs) / pscale + self.offsets = dithoffs_pix[0] - dithoffs_pix + self.offsets_report(self.offsets, 'header keyword') if self.objid_bri is None and offsets == 'auto': msgs.error('Offsets cannot be computed because no unique reference object ' diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 829adb704e..56ac9c2912 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1240,10 +1240,11 @@ def __init__(self, only_slits=None, offsets=None, spat_toler=None, weights=None, defaults['offsets'] = 'auto' dtypes['offsets'] = [list, str] descr['offsets'] = 'Offsets for the images being combined (spat pixels). Options are: ' \ - '``maskdef_offsets``, ``auto``, and a list of offsets. ' \ + '``maskdef_offsets``, ``header``, ``auto``, and a list of offsets. ' \ 'Use ``maskdef_offsets`` to use the offsets computed during the slitmask ' \ - 'design matching (currently available for DEIMOS and MOSFIRE only). If ``auto`` ' \ - 'is chosen, PypeIt will try to compute the offsets using a reference object ' \ + 'design matching (currently available for DEIMOS and MOSFIRE only). If equal ' \ + 'to ``header``, the dither offsets recorded in the header, when available, will be used. ' \ + 'If ``auto`` is chosen, PypeIt will try to compute the offsets using a reference object ' \ 'with the highest S/N, or an object selected by the user (see ``user_obj``). ' \ 'If a list of offsets is provided, PypeIt will use it.' diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 50e9e91347..63b1e636af 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -361,6 +361,9 @@ def config_specific_par(self, scifile, inp_par=None): # pca par['calibrations']['slitedges']['sync_predict'] = 'auto' + # set offsets for coadd2d + par['coadd2d']['offsets'] = 'maskdef_offsets' + # Templates if self.get_meta_value(headarr, 'dispname') == '600ZD': diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index 24eeea3a20..466a9749c4 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -185,6 +185,8 @@ def config_specific_par(self, scifile, inp_par=None): par['calibrations']['slitedges']['det_buffer'] = 0 # artificially add left and right edges par['calibrations']['slitedges']['bound_detector'] = True + # set offsets for coadd2d + par['coadd2d']['offsets'] = 'header' # Turn on the use of mask design else: @@ -202,6 +204,8 @@ def config_specific_par(self, scifile, inp_par=None): '1:{}:2040'.format(pix_end)] # assume that the main target is always detected, i.e., skipping force extraction par['reduce']['slitmask']['extract_missing_objs'] = False + # set offsets for coadd2d + par['coadd2d']['offsets'] = 'maskdef_offsets' # wavelength calibration supported_filters = ['Y', 'J', 'J2', 'H', 'K'] diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 2d5bdac4a7..3753e78fb3 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -134,6 +134,10 @@ def default_pypeit_par(cls): par['sensfunc']['IR']['maxiter'] = 2 par['sensfunc']['IR']['telgridfile'] = 'TelFit_MaunaKea_3100_26100_R20000.fits' + # COADD2D + # set offsets for coadd2d + par['coadd2d']['offsets'] = 'header' + return par def init_meta(self): From fa692413133e5ccd69c543655005078a2f9c6730 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Fri, 28 Apr 2023 19:25:22 -1000 Subject: [PATCH 264/308] changed alpha --- pypeit/display/display.py | 8 ++++---- pypeit/wavetilts.py | 13 ++++++++----- 2 files changed, 12 insertions(+), 9 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 8d01c3b24b..6267cad2ed 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -582,7 +582,7 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non goodpix_spat = tilt_traces['goodpix_spat'][0] + xoff goodpix_tilt = tilt_traces['goodpix_tilt'][0] + yoff canvas_list += [dict(type='squarebox', args=(float(goodpix_spat[i]), float(goodpix_tilt[i]), 1), - kwargs=dict(color='cyan', fill=True, fillalpha=0.5)) for i in range(goodpix_tilt.size)] + kwargs=dict(color='cyan', fill=False)) for i in range(goodpix_tilt.size)] # Plot the 2D fitted tilts # loop over each line, this allows to use type='path' and therefore a faster plotting @@ -595,7 +595,7 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] + yoff canvas_list += [dict(type=str('path'), args=(list(zip(good2dfit_spat[::pstep].tolist(), good2dfit_tilt[::pstep].tolist())),), - kwargs=dict(color='blue', linewidth=2))] + kwargs=dict(color='blue', linewidth=1))] # Now plot the masked traces and the rejected 2D fits # We just plot the points, so we do not need to loop over each slit/line @@ -605,14 +605,14 @@ def show_tilts(viewer, ch, tilt_traces, yoff=0., xoff=0., points=True, nspec=Non badpix_spat = tilt_traces['badpix_spat'][0] + xoff badpix_tilt = tilt_traces['badpix_tilt'][0] + yoff canvas_list += [dict(type='squarebox', args=(float(badpix_spat[i]), float(badpix_tilt[i]), 1), - kwargs=dict(color='red', fill=True, fillalpha=0.5)) for i in range(badpix_tilt.size)] + kwargs=dict(color='red', fill=False)) for i in range(badpix_tilt.size)] # rejected fit if 'bad2dfit_tilt' in tilt_traces.keys() and tilt_traces['bad2dfit_tilt'][0].size > 0: # note: must cast numpy floats to regular python floats to pass the remote interface bad2dfit_spat = tilt_traces['bad2dfit_spat'][0] + xoff bad2dfit_tilt = tilt_traces['bad2dfit_tilt'][0] + yoff canvas_list += [dict(type='squarebox', args=(float(bad2dfit_spat[i]), float(bad2dfit_tilt[i]), 1), - kwargs=dict(color='yellow', fill=True, fillalpha=0.5)) for i in range(bad2dfit_tilt.size)] + kwargs=dict(color='yellow', fill=False)) for i in range(bad2dfit_tilt.size)] # Add text text_xpos = 20 diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 3dfe7e1ede..0455b74ab6 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -943,11 +943,11 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non if show_traces: if 'goodpix_tilt' in tilt_traces.keys() and tilt_traces['goodpix_tilt'][0].size > 0: plt.scatter(tilt_traces['goodpix_spat'][0], tilt_traces['goodpix_tilt'][0], color='cyan', - marker='s', s=10, alpha=0.5, lw=0, label='Good pixel', zorder=1) + edgecolors=None, marker='s', s=10, alpha=0.3, lw=0, label='Good pixel', zorder=1) # masked tilts if 'badpix_tilt' in tilt_traces.keys() and tilt_traces['badpix_tilt'][0].size > 0: plt.scatter(tilt_traces['badpix_spat'], tilt_traces['badpix_tilt'], color='red', - marker='s', s=10, alpha=0.5, lw=0, label='Masked pixel', zorder=2) + edgecolors=None, marker='s', s=10, alpha=0.3, lw=0, label='Masked pixel', zorder=2) # 2D fit tilts # loop over each line so that we can plot lines instead of points if 'good2dfit_lid' in tilt_traces.keys(): @@ -956,12 +956,12 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non if np.any(this_line): good2dfit_spat = tilt_traces['good2dfit_spat'][0][this_line] good2dfit_tilt = tilt_traces['good2dfit_tilt'][0][this_line] - plt.plot(good2dfit_spat, good2dfit_tilt, color='blue', lw=1, zorder=3) + plt.plot(good2dfit_spat, good2dfit_tilt, color='blue', lw=1, alpha=0.4, zorder=3) # rejected point in 2D fit if 'bad2dfit_tilt' in tilt_traces.keys() and tilt_traces['bad2dfit_tilt'][0].size > 0: plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='yellow', - marker='s', s=5, alpha=0.5, lw=0, label='Rejected in fit', zorder=4) + edgecolors=None, marker='s', s=5, alpha=0.3, lw=0, label='Rejected in fit', zorder=4) if slits is not None: pstep = 50 @@ -983,7 +983,10 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non handles.append(legend_element[0]) lcolors = ['cyan', 'red', 'yellow', 'blue'] if show_traces else ['red', 'yellow', 'blue'] - plt.legend(handles=handles, labelcolor=lcolors) + legend = plt.legend(handles=handles, labelcolor=lcolors, loc=3, markerscale=2, frameon=False) + for h in legend.legendHandles: + h.set_alpha(1) + plt.ylabel('Spectral pixel index') plt.xlabel('Spatial pixel index') plt.show() From 644f6a043bf0c6f18f92ed65c67558c4e6d1a8d3 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 1 May 2023 11:29:47 -0700 Subject: [PATCH 265/308] DeVeny tweaks --- pypeit/spectrographs/ldt_deveny.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 0d67b1e691..65a3de3ba7 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -288,7 +288,9 @@ def default_pypeit_par(cls): par['calibrations']['slitedges']['minimum_slit_length'] = 90. # Flat-field parameter modification - par['calibrations']['flatfield']['pixelflat_min_wave'] = 3000. + par['calibrations']['flatfield']['pixelflat_min_wave'] = 3000. # Default: None + par['calibrations']['flatfield']['slit_illum_finecorr'] = False # Default: True + par['calibrations']['flatfield']['spec_samp_fine'] = 30 # Default: 1.2 # For the tilts, our lines are not as well-behaved as others', # possibly due to the Wynne type E camera. @@ -470,7 +472,7 @@ def config_specific_par(self, scifile, inp_par=None): # The approximate resolution of this grating par['sensfunc']['UVIS']['resolution'] = 1200 - elif grating == 'DV4 (400/8000)': + elif grating == 'DV4 (400/8500)': # We don't have a good `reid_arxiv`` for this grating yet; use `holy-grail` # and it's associated tweaks in parameters par['calibrations']['wavelengths']['method'] = 'holy-grail' From 036b86fc11ec8f1f82745e4386b3f5ed26352707 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 1 May 2023 13:48:38 -1000 Subject: [PATCH 266/308] joe's comments --- pypeit/coadd2d.py | 59 +++++++++++++++++++++++++++++------------------ 1 file changed, 37 insertions(+), 22 deletions(-) diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index 76c740fe09..450c4be907 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -886,8 +886,8 @@ def compute_offsets(self, offsets): """ msgs.info('Get Offsets') - # 0) offsets are provided in the header of the spec2d files - if offsets== 'header': + # 1) offsets are provided in the header of the spec2d files + if offsets == 'header': msgs.info('Using offsets from header') pscale = self.stack_dict['detectors'][0].platescale dithoffs = [self.spectrograph.get_meta_value(f, 'dithoff') for f in self.spec2d] @@ -898,17 +898,35 @@ def compute_offsets(self, offsets): self.offsets = dithoffs_pix[0] - dithoffs_pix self.offsets_report(self.offsets, 'header keyword') - if self.objid_bri is None and offsets == 'auto': + elif self.objid_bri is None and offsets == 'auto': msgs.error('Offsets cannot be computed because no unique reference object ' 'with the highest S/N was found. To continue, provide offsets in `Coadd2DPar`') - # 1) a list of offsets is provided by the user (no matter if we have a bright object or not) - if isinstance(offsets, (list, np.ndarray)): + # 2) a list of offsets is provided by the user (no matter if we have a bright object or not) + elif isinstance(offsets, (list, np.ndarray)): msgs.info('Using user input offsets') # use them self.offsets = self.check_input(offsets, type='offsets') self.offsets_report(self.offsets, 'user input') + # 3) parset `offsets` is = 'maskdef_offsets' (no matter if we have a bright object or not) + elif offsets == 'maskdef_offsets': + if self.maskdef_offset is not None: + # the offsets computed during the main reduction (`run_pypeit`) are used + msgs.info('Determining offsets using maskdef_offset recoded in SlitTraceSet') + self.offsets = self.maskdef_offset[0] - self.maskdef_offset + self.offsets_report(self.offsets, 'maskdef_offset') + else: + # if maskdef_offsets were not computed during the main reduction, we cannot continue + msgs.error('No maskdef_offset recoded in SlitTraceSet') + + # 4) parset `offsets` = 'auto' but we have a bright object + elif offsets == 'auto' and self.objid_bri is not None: + # see child method + pass + else: + msgs.error('Invalid value for `offsets`') + def compute_weights(self, weights): """ Determine self.use_weights, the weights to be used in the coadd2d. @@ -942,6 +960,13 @@ def compute_weights(self, weights): elif weights == 'uniform': msgs.info('Using uniform weights') + # 3) Bright object exists and parset `weights` is equal to 'auto' + elif (self.objid_bri is not None) and (weights == 'auto'): + # see child method + pass + else: + msgs.error('Invalid value for `weights`') + def get_brightest_object(self, specobjs_list, spat_ids): """ Dummy method to identify the brightest object. Overloaded by child methods. @@ -1069,18 +1094,8 @@ def compute_offsets(self, offsets): """ super().compute_offsets(offsets) - # 2) parset `offsets` is = 'maskdef_offsets' (no matter if we have a bright object or not) - if offsets == 'maskdef_offsets': - if self.maskdef_offset is not None: - # the offsets computed during the main reduction (`run_pypeit`) are used - msgs.info('Determining offsets using maskdef_offset recoded in SlitTraceSet') - self.offsets = self.maskdef_offset[0] - self.maskdef_offset - self.offsets_report(self.offsets, 'maskdef_offset') - else: - # if maskdef_offsets were not computed during the main reduction, we cannot continue - msgs.error('No maskdef_offset recoded in SlitTraceSet') - # 3) parset `offsets` = 'auto' but we have a bright object - elif offsets == 'auto' and self.objid_bri is not None: + # adjustment for multislit to case 4) parset `offsets` = 'auto' but we have a bright object + if offsets == 'auto' and self.objid_bri is not None: # Compute offsets using the bright object if self.par['coadd2d']['user_obj'] is not None: offsets_method = 'user object on slitid = {:d}'.format(self.spatid_bri) @@ -1156,7 +1171,7 @@ def compute_weights(self, weights): super().compute_weights(weights) - # 3) Bright object exists and parset `weights` is equal to 'auto' + # adjustment for multislit to case 3) Bright object exists and parset `weights` is equal to 'auto' if (self.objid_bri is not None) and (weights == 'auto'): # compute weights using bright object _, self.use_weights = self.optimal_weights(self.spatid_bri, self.objid_bri, const_weights=True) @@ -1415,12 +1430,12 @@ def compute_offsets(self, offsets): """ super().compute_offsets(offsets) - # adjustment for echelle to case 1): a list of offsets is provided by the user + # adjustment for echelle to case 2): a list of offsets is provided by the user if isinstance(self.offsets, (list, np.ndarray)): self.objid_bri = None - # 2) parset `offsets` = 'auto' but we have a bright object - if offsets == 'auto' and self.objid_bri is not None: + # adjustment for echelle to case 4) parset `offsets` = 'auto' but we have a bright object + elif offsets == 'auto' and self.objid_bri is not None: # offsets are not determined, but the bright object is used to construct # a reference trace (this is done in coadd using method `reference_trace_stack`) self.offsets = None @@ -1442,7 +1457,7 @@ def compute_weights(self, weights): """ super().compute_weights(weights) - # 3) Bright object exists and parset `weights` is equal to 'auto' + # adjustment for echelle to case 3) Bright object exists and parset `weights` is equal to 'auto' if (self.objid_bri is not None) and (weights == 'auto'): # computing a list of weights for all the slitord_ids that we than parse in coadd slitord_ids = self.stack_dict['slits_list'][0].slitord_id From d9a14b18d5b7a78f6417d0c17d5c686f7f514ca1 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 1 May 2023 17:05:53 -0700 Subject: [PATCH 267/308] dither progress --- doc/quicklook.rst | 119 ++++++++++------------ pypeit/metadata.py | 13 ++- pypeit/scripts/ql.py | 144 ++++++++++++++++++--------- pypeit/spectrographs/keck_mosfire.py | 38 ++++--- pypeit/spectrographs/keck_nires.py | 33 +++--- pypeit/spectrographs/spectrograph.py | 12 ++- 6 files changed, 208 insertions(+), 151 deletions(-) diff --git a/doc/quicklook.rst b/doc/quicklook.rst index b824e0c855..1b173c6982 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -28,6 +28,13 @@ Particularly because of the latter, the quick-look script follows a specific directory structure and makes assumptions about which calibrations can be used that are more lenient than recommended for a robust reduction. +Importantly, ``pypeit_ql`` can only be used to reduce data *for a single science +target.* All the science frames provided will be combined. Standard star frames +can be included and, as long as they are automatically identified as standards, +they will be reduced separately from the science target. For instruments with +dither patterns that PypeIt can parse, image combination groups will be grouped +by dither offset position. + Here, we describe the algorithm and provide specific usage tutorials. The script usage can be displayed by calling the script with the @@ -56,7 +63,7 @@ type of each input frame, without input from the user. If this fails, so too will the script. The only exception to this is that you can specify which frames are ``science`` frames, using the ``--sci_files`` argument. Importantly, however, files listed using the ``--sci_files`` option must also be listed among -the raw files (see below). +the raw files (see below). Specifying the input raw files ++++++++++++++++++++++++++++++ @@ -121,8 +128,8 @@ Directory Structure As with typical executions of :ref:`run-pypeit`, ``pypeit_ql`` yields directories with calibrations, quality-assessment plots, and science products. -The difference is that ``pypeit_ql`` allows the user to keep the calibrations -and science products more separate. +The difference is that ``pypeit_ql`` keeps the calibrations and science products +more separate. For example, executing: @@ -130,19 +137,19 @@ For example, executing: pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files -will yield two directories where you executed the call: ``b27`` and -``shane_kast_blue_A``. Both directories will look very similar to a normal +will yield two directories where you executed the call: ``b27/`` and +``shane_kast_blue_A/``. Both directories will look very similar to a normal execution of :ref:`run-pypeit` (see :ref:`outputs-dir`), except the latter will *only* contain calibrations and the former will only contain the science results with a symlink to the ``Calibrations`` directory. The name of the directory with the reduction for the science frames is based on the name of the frame, ``b27`` in this example. The name of directory with the calibrations is always -the combination of the instrument name and setup/configuration identifier, just -as produced by :ref:`pyepit_setup`. +the combination of the instrument name and setup/configuration identifier (e.g. +``shane_kast_blue_A``), just as produced by :ref:`pyepit_setup`. -If multiple science frames are reduced *and stacked*, the name of the output -directory combines the names of the first and last science frames in the stack. -For example: +If multiple science frames are provided, the name of the output directory +combines the names of the first and last science frames in the stack. For +example: .. code-block:: console @@ -150,87 +157,61 @@ For example: would produce a ``b27-b29`` directory (assuming ``b27.fits.gz``, ``b28.fits.gz``, and ``b29.fits.gz`` are all science frames) with the results -produced by *stacking* all 3 science frames; images are stacked via simple -coaddition of the frames, not a "2D coadd" that includes spatial and spectral -registration of the slit images. +produced by *stacking* all 3 science frames. For Shane/Kast, images are stacked +via simple coaddition of the frames, not a "2D coadd" that includes spatial and +spectral registration of the slit images. Use of existing calibrations ++++++++++++++++++++++++++++ None of the examples above have provided a path with/for the processed -calibration files. This means the code will use the default PypeIt naming -system, hence the ``shane_kast_blue_A`` directory results from the call: - -.. code-block:: console - - pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files +calibration files. This means the code uses the current working directory as +the "parent" calibration directory. -If calibrations have already been processed, you can specify their location -using either the ``--setup_calib_dir`` or the ``--parent_calib_dir`` -command-line options. The difference is that the ``--setup_calib_dir`` is the -*exact* path to the directory with the calibrations to be used, whereas -``--parent_calib_dir`` points to a parent directory that may contain the -calibrations for many different instrument setups/configurations, each in their -own directory (e.g., ``shane_kast_blue_A``, ``shane_kast_blue_B``, etc). +The **"parent" calibration directory** potentially contains calibrations for many +different instrument setups/configurations, each in their own directory that +follows the PypeIt naming scheme; e.g., ``shane_kast_blue_A/``, +``shane_kast_blue_B/``, etc. After ``pypeit_ql`` parses the input files, the +script compares the setup/configuration of the science frames to the available +calibrations. If any exist, they will be used *and any provided calibration +frames will be ignored* unless you set the ``--overwrite_calibs`` option. -After using the first call above, subsequent calls to ``pypeit_ql`` for -additional observations will use the same calibrations directory. For example, executing +In terms of a workflow, this means that you might first run: .. code-block:: console - pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b28.fits.gz --raw_path /path/to/files + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files -should *not* require the calibrations to be redone because they will have -already been produced via the call above. The automated naming convention -should search for (and find) the relevant calibrations in -``shane_kast_blue_A/Calibrations``. However, you can specific the relevant -directory explicitly: +and each subsequent call can omit the calibration files, like so: .. code-block:: console - pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b28.fits.gz --raw_path /path/to/files --setup_calib_dir shane_kast_blue_A/Calibrations - - + pypeit_ql shane_kast_blue --raw_files b28.fits.gz --raw_path /path/to/files + pypeit_ql shane_kast_blue --raw_files b27.fits.gz b28.fits.gz --raw_path /path/to/files + pypeit_ql shane_kast_blue --raw_files b27.fits.gz b28.fits.gz b29.fits.gz --raw_path /path/to/files + ... +assuming the instrument setup/configuration has *not* changed. This forces +``pypeit_ql`` to match the instrument setup to the available calibrations; +however, you can force the code to use a specific set of calibrations by +specifying it *directly*, like so: +.. code-block:: console -.. warning:: - - The reason this is so is because there is only one configuration - - - The latter is the directory that holds the calibrations. -Inspection of this directory will like very similar to a normal run of -:ref:`run-pypeit`, except that it will *only* contain calibrations (and -associated QA). The ``b27`` directory will also look very similar to a normal - - -s are: + pypeit_ql shane_kast_blue --raw_files b28.fits.gz --raw_path /path/to/files --setup_calib_dir ./shane_kast_blue_A/Calibrations - - directories with calibrations are is that ``pypei +Alternatively, calibrations that maintain long-term stability (or at least +stable enough for quick-look) can be stored in a parent directory and you can +use them with ``pypeit_ql`` without needed to provide any raw calibrations +frames. To do so, call: +.. code-block:: console -One or more folders are generated in a run with ``pypeit_ql``. + pypeit_ql shane_kast_blue --raw_files b27.fits.gz --raw_path /path/to/files --parent_calib_dir /path/to/calibration/archive -The primary folder containts the science outputs -in ``Science/`` and QA products related to extraction -and a soft-link to the ``Calibrations/`` folder. -It is named after the input science file(s). If there is only -one file processed, the folder is given the name of the file -with the ``.fits`` extension removed (e.g. ``b27.fits`` becomes -``b27``). -If there are multiple files processed, the folder is given the -root names of the first and last files separated by a dash -(e.g. ``b27.fits`` and ``b28.fits`` become ``b27-b28``). -This primary folder -will appear in the path specified by ``--redux_path``, which -defaults to the current working directory. +If no appropriate calibrations are found, the code will fault. -If calibration files are generated, one folder per setup -will appear in the path specified by ``--calib_dir``, -which defaults to the path given by ``-redux_path``. -These will have names like ``instr_A`` where ``instr`` is the -spectograph, e.g. ``keck_lris_red``, and ``A`` is the setup. +.. TODO: the rest below needs to be updated! PypeIt Files ++++++++++++ diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 4c7d8380fc..05b2ab0e56 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -1428,14 +1428,21 @@ def set_combination_groups(self, assign_objects=True): Args: assign_objects (:obj:`bool`, optional): - If all of 'comb_id' values are less than 0 (meaning - they're unassigned), the combination groups are set to - be unique for each standard and science frame. + If all of 'comb_id' values are less than 0 (meaning they're + unassigned), the combination groups are set to be unique for + each standard and science frame. For some instruments (e.g., + Keck/NIRES), this will also parse known dither patterns and use + them to set default difference-imaging groups. + """ if 'comb_id' not in self.keys(): self['comb_id'] = -1 if 'bkg_id' not in self.keys(): self['bkg_id'] = -1 + + # NOTE: Importantly, this if statement means that, if the user has + # defined any non-negative combination IDs in their pypeit file, none of + # this automated assignment logic is executed. if assign_objects and np.all(self['comb_id'] < 0): # find_frames will throw an exception if framebit is not # set... diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index c068a4d75d..d29532e218 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -121,6 +121,57 @@ def folder_name_from_scifiles(sci_files:list): return '-'.join([io.remove_suffix(f) for f in [sci_files[0], sci_files[-1]]]) +def quicklook_regroup(fitstbl): + """ + Regroup frames for quick-look reductions. + + Restrictions/Alterations applied are: + + - Science and standard frames each must be observations of a single + target (according to the ``'target'`` keyword). + + - For metadata tables where the background image *are not* set, all + science and standard frames are each assigned to a single combination + group, so that all observations are stacked. + + - For metadata tables where the background images *are* set (e.g., for + difference-imaging dither sequences), all frames of a given offset are + combined (the column ``dithoff`` *must* exist). I.e., if there are + multiple dither sequences peformed (e.g., ABBA, then ABBA), all with + the same offset (e.g., +/- 5 arcsec), the image combination and + background IDs are changed so that all the As are combined and all the + Bs are combined before calculating the difference. + + **This function directly alters the input object!** + + Args: + fitstbl (:class:~pypeit.metadata.PypeItMetaData`): + Metadata table for frames to be processed. + """ + comb_strt = 0 + for frametype in ['science', 'standard']: + is_type = fitstbl.find_frames(frametype) + if any(is_type): + # All frames must be of the same target + if 'target' in fitstbl.keys() \ + and not all(fitstbl['target'][is_type] == fitstbl['target'][is_type][0]): + msgs.error(f'All {frametype} frames must be of the same target.') + if 'bkg_id' in fitstbl.keys() and any(fitstbl['bkg_id'].data[is_type] != -1): + if 'dithoff' not in fitstbl.keys(): + msgs.error('CODING ERROR: Metadata does not include dithoff column!') + # Group the unique dither positions + dith, inv = np.unique(fitstbl['dithoff'].data[is_type], return_inverse=True) + fitstbl['comb_id'][is_type] = inv + comb_strt + # NOTE: This does the "dumb" thing of just setting the background + # image for the first offset to the second one, and setting the + # background for all other offsets to be the first one. + fitstbl['bkg_id'][np.where(is_type)[0][inv == comb_strt]] = comb_strt+1 + fitstbl['bkg_id'][np.where(is_type)[0][inv != comb_strt]] = comb_strt + else: + fitstbl['comb_id'][is_type] = comb_strt + comb_strt = np.amax(fitstbl['comb_id'].data[is_type])+1 + + def generate_sci_pypeitfile(redux_path:str, ref_calib_dir:Path, ps_sci, @@ -131,15 +182,15 @@ def generate_sci_pypeitfile(redux_path:str, boxcar_radius:float=None, snr_thresh:float=None): """ - Prepare to reduce the science frames by: + Prepare to reduce the science frames: - - Correcting the setup and calibration group for the science frames to - be the same as the associated calibration files. + - Correct the setup and calibration group for the science frames to be + the same as the associated calibration files. - - Creating the path for the science reductions, and including a symlink - to the pre-processed (reference) calibration frames. + - Create the path for the science reductions, and including a symlink to + the pre-processed (reference) calibration frames. - - Writing the pypeit file with the requested parameter adjustments. + - Write the pypeit file with the requested parameter adjustments. Args: redux_path (:obj:`str`): @@ -230,14 +281,7 @@ def generate_sci_pypeitfile(redux_path:str, 're-reduced, use the --clean option.') ps_sci.remove_table_rows(is_std) - # TODO: Enable code to find standard spec1d file in ref_calib_dir? Something like: -# elif find_archive_std: -# std_files = sorted(calib_dir.glob('std_spec1d_*')) -# if len(std_files) > 0: -# std_spec1d = std_files[0] - # TODO: Enable the user to provide the standard spec1d file directly? - - # TODO: Push this stuff into a function in par/pypeitpar.py + # TODO: Push this stuff into a function in par/pypeitpar.py? # Get the quicklook parameters to use for this spectrograph spec_cfg = ps_sci.spectrograph.ql_par() @@ -583,18 +627,21 @@ def get_parser(cls, width=None): help='Directory with/for calibrations specific to your instrument ' 'configuration/setup. Use of this option circumvents the ' 'automated naming system for the configuration/setup ' - 'sub-directories. If None, it is assumed that no calibrations ' - 'exist and they must be created using the provided raw files. ' - 'The top-level directory is given by parent_calib_dir (or ' - 'redux_path) and the sub-directories follow the normal PypeIt ' - 'naming scheme.') + 'sub-directories. If None, the code will try to find relevant ' + 'calibrations in the parent_calib_dir. If no calibrations exist ' + 'in that directory that match the instrument setup/configuration ' + 'of the provided data, the code will construct new calibrations ' + '(assuming relevant raw files are provided).') parser.add_argument('--clean', default=False, action='store_true', help='Remove the existing output directories to force a fresh ' 'reduction. If False, any existing directory structure will ' 'remain, but any existing science files will still be ' 'overwritten.') - # TODO: Add option to not overwrite existing reductions + # TODO: Options to add?: + # - do not overwrite existing reductions + # - specify `target` to be reduced, either parsed from the frame + # header (i.e., target in the fitstbl) or from the mask information parser.add_argument('--calibs_only', default=False, action='store_true', help='Reduce only the calibrations?') @@ -615,8 +662,6 @@ def get_parser(cls, width=None): 'separately reduce detectors 1 and 5 for Keck/DEIMOS, you would ' 'use --det 1 5; to reduce mosaics made up of detectors 1,5 and ' '3,7, you would use --det 1,5 3,7') - parser.add_argument('--no_stack', dest='stack', default=True, action='store_false', - help='Do *not* stack multiple science frames') parser.add_argument('--ignore_std', default=False, action='store_true', help='If standard star observations are automatically detected, ' 'ignore those frames. Otherwise, they are included with the ' @@ -694,14 +739,26 @@ def main(args): 'either ignoring the standard frames (if any are present and ' 'auto-detected) and/or changing the list of science files.') + # Regroup the image combination so that all images are combined. + # NOTE: This will fault if all of the images are not of the same + # target (based on the target in the fitstbl). + # TODO: Should we instead do this in PypeItSetup? I.e., should + # PypeItSetup have an option that allows *all* images taken with a + # given offset to be combined, and an option to only perform, e.g., + # A-B reduction, instead of the A-B + B-A. + quicklook_regroup(ps_sci.fitstbl) + # Setting the combination groups should also set the background IDs # for dithered observations. That means we can automatically detect # whether or not the reductions use difference imaging + # TODO: This is now the only place bkg_redux is used... bkg_redux = 'bkg_id' in ps_sci.fitstbl.keys() and any(ps_sci.fitstbl['bkg_id'] != -1) - - # If performing difference imaging, print the automatically detected - # dither pattern if bkg_redux: + msgs.warn('Dither pattern automatically detected for these observations. Image ' + 'combination and background subtraction sequences automatically set; ' + 'confirm the behavior is what you want by checking the auto-generated ' + 'pypeit file.') + # Print the automatically detected dither pattern sci_only_idx = ps.fitstbl.find_frames('science', index=True) # Binning binspectral, binspatial = parse_binning(ps.fitstbl['binning'][sci_only_idx[0]]) @@ -712,24 +769,6 @@ def main(args): # Report print_offset_report(ps.fitstbl[sci_only_idx], platescale) - # Handle image stacking - if args.stack: - if bkg_redux: - msgs.warn('Dither pattern automatically detected for these observations. ' - 'Will not stack observations. Image combination ' - 'and background subtraction sequences automatically set; confirm ' - 'the behavior is what you want by checking the auto-generated ' - 'pypeit file.') - else: - # Stack all of the science and standard frames - ps_sci.fitstbl['comb_id'][ps_sci.fitstbl.find_frames('science')] = 1 - ps_sci.fitstbl['comb_id'][ps_sci.fitstbl.find_frames('standard')] = 2 - - # TODO: What happens if "no_stack" is set but bkg_redux is True? - # Should we ignore this and do the difference imaging anyway, or - # should we assume the user truly wants each frame to be treated - # independently? - # Check that all the frames are assigned to the same calibration group # NOTE: This is largely superfluous given the use of get_setup_calib # in generate_sci_pyepitfile, but it's useful to keep the warning @@ -753,6 +792,9 @@ def main(args): 'calibration frames. If you have provided science frames, you can specify ' 'which ones they are using the --sci_files option.') + # TODO: What happens if there are *only* science frames and no matching + # calibrations? + # Calibrate, if necessary if setup_calib_dir is None: msgs.info('Building the processed calibration frames.') @@ -766,7 +808,7 @@ def main(args): # Match the setups of the frames to be reduced to the existing # setups calib_match = match_to_calibs(ps, parent_calib_dir, - calibrated_setups=calibrated_setups) + calibrated_setups=calibrated_setups) # Edit the setup column in the metadata table so that existing # setups are updated and new setups are reduced with a unique # identifier, following the nominal sequence @@ -843,11 +885,19 @@ def main(args): # Perform coadding if requested if args.coadd: # Run the setup script to get the baseline coadd2d file - # TODO: Add sensitivity functions, and other options + # TODO: + # - Add sensitivity function + # - Allow SetupCoAdd2D to auto-detect dithers based on the pypeit + # file and parse/prepare the coadding offsets accordingly + # - and other options SetupCoAdd2D.main(SetupCoAdd2D.parse_args([sci_pypeit_file])) # Find all the coadd2d scripts - # TODO: Need to have SetupCoAdd2D.main return the names of the written files... + # NOTE: This should only find *one* coadd2d file because quick-look + # should be limited to performing reduction for one target at a + # time. + # TODO: Need to have SetupCoAdd2D.main return the names of the + # written files... coadd_files = sorted(Path(sci_pypeit_file).resolve().parent.glob('*.coadd2d')) # Run the coadding, only on those coadd files with more than one file @@ -860,6 +910,8 @@ def main(args): # TODO: Add options (e.g. spatial/spectral sampling...) CoAdd2DSpec.main(CoAdd2DSpec.parse_args([coadd_file])) + # TODO: Add some show options + exec_s = np.around(time.perf_counter()-tstart, decimals=1) msgs.info(f'Quicklook execution time: {datetime.timedelta(seconds=exec_s)}') diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index 880b6c4f50..b9bf30b3e7 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -461,22 +461,28 @@ def modify_config(self, row, cfg): def get_comb_group(self, fitstbl): """ - - This method is used in :func:`pypeit.metadata.PypeItMetaData.set_combination_groups`, - and modifies comb_id and bkg_id metas for a specific instrument. - - Specifically here, this method parses the dither pattern of the science/standard - frames in a given calibration group and assigns to each of them a comb_id and a - bkg_id. The dither pattern used here are: "Slit Nod", "Mask Nod", "ABA'B'", - "ABAB", "ABBA", "long2pos_specphot", and "Stare". Note that the frames in the - same dither positions (A positions or B positions) of each "ABAB" or "ABBA" - sequence are 2D coadded (without optimal weighting) before the background - subtraction, while for the other dither patterns, the frames in the same - dither positions are not coadded. - For "long2pos_specphot" masks, the comb_id and a bkg_id are assigned such that - one of the two frames with spectrum taken using the narrower slit is used as background - frame and subtracted from the frame with spectrum taken using the wider slit. - + Automatically assign combination groups and background images by parsing + known dither patterns. + + This method is used in + :func:`~pypeit.metadata.PypeItMetaData.set_combination_groups`, and + directly modifies the ``comb_id`` and ``bkg_id`` columns in the provided + table. + + Specifically here, this method parses the dither pattern of the + science/standard frames in a given calibration group and assigns to each + of them a comb_id and a bkg_id. The known dither patterns are: "Slit + Nod", "Mask Nod", "ABA'B'", "ABAB", "ABBA", "long2pos_specphot", and + "Stare". Note that the frames in the same dither positions (A positions + or B positions) of each "ABAB" or "ABBA" sequence are 2D coadded + (without optimal weighting) before the background subtraction, while for + the other dither patterns, the frames in the same dither positions are + not coadded. + + For "long2pos_specphot" masks, the ``comb_id`` and a ``bkg_id`` are + assigned such that one of the two frames with spectra taken using the + narrower slit is used as the background frame and subtracted from the + frame with spectra taken using the wider slit. Args: fitstbl(`astropy.table.Table`_): diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index 1e61877a3e..18cf6d8bb7 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -231,25 +231,32 @@ def raw_header_cards(self): def get_comb_group(self, fitstbl): """ + Automatically assign combination groups and background images by parsing + known dither patterns. - This method is used in :func:`pypeit.metadata.PypeItMetaData.set_combination_groups`, - and modifies calib, comb_id and bkg_id metas for a specific instrument. + This method is used in + :func:`~pypeit.metadata.PypeItMetaData.set_combination_groups`, and + directly modifies the ``comb_id`` and ``bkg_id`` columns in the provided + table. Specifically here for NIRES, since it's likely to have one set of flat/dark frames for different targets, this method sets calib = "all" for the flat and dark frames and assigns different calib values to the science/standard frames of different targets. - Moreover, this method parses from the header the dither pattern of the science/standard - frames in a given calibration group and assigns to each of them a comb_id and a - bkg_id. The dither patterns used here are: "ABAB", "ABBA", "ABpat", "ABC". - Note that the frames in the same dither positions (A positions or B positions) - of each "ABAB" or "ABBA" sequence are 2D coadded (without optimal weighting) - before the background subtraction, while for the other dither patterns (e.g., "ABpat"), - the frames in the same dither positions are not coadded. - comb_id and bkg_id will not assigned if: - - - dither offset is zero for every frames of a dither sequence - - dither pattern recorded in the header is NONE or MANUAL, or is none of the above patterns. + Moreover, this method parses from the header the dither pattern of the + science/standard frames in a given calibration group and assigns to each + of them a default ``comb_id`` and ``bkg_id``. The dither patterns used + here are: "ABAB", "ABBA", "ABpat", and "ABC". Note that the frames in + the same dither positions (A positions or B positions) of each "ABAB" or + "ABBA" sequence are 2D coadded (without optimal weighting) before the + background subtraction, while for the other dither patterns (e.g., + "ABpat"), the frames in the same dither positions are not coadded. The + ``comb_id`` and ``bkg_id`` will *not* assigned if: + + - the dither offset is zero for every frame in the dither sequence + + - the dither pattern recorded in the header is not recognized or set + to NONE or MANUAL. Args: fitstbl(`astropy.table.Table`_): diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 685215bed3..c84c7fade8 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -848,12 +848,16 @@ def config_independent_frames(self): def get_comb_group(self, fitstbl): """ + Automatically assign combination groups and background images by parsing + known dither patterns. - This method is used in :func:`pypeit.metadata.PypeItMetaData.set_combination_groups`, - and modifies comb_id and bkg_id metas for a specific instrument. + This method is used in + :func:`~pypeit.metadata.PypeItMetaData.set_combination_groups`, and + directly modifies the ``comb_id`` and ``bkg_id`` columns in the provided + table. - - **This method is not defined for all spectrographs.** + **This method is not defined for all spectrographs.** This base-class + implementation simply returns the input table. Args: fitstbl(`astropy.table.Table`_): From e011b8d7fad634bac6ce57b8ad36632bc1ae5e2b Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 1 May 2023 18:03:55 -0700 Subject: [PATCH 268/308] Cleaning up modified: pypeit/par/pypeitpar.py modified: pypeit/scripts/identify.py modified: pypeit/spectrographs/ldt_deveny.py --- pypeit/par/pypeitpar.py | 3 ++- pypeit/scripts/identify.py | 3 ++- pypeit/spectrographs/ldt_deveny.py | 8 +++++++- 3 files changed, 11 insertions(+), 3 deletions(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index a10ca77a3a..bf1230a424 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -3898,7 +3898,8 @@ def __init__(self, boxcar_radius=None, std_prof_nsigma=None, sn_gauss=None, defaults['std_prof_nsigma'] = 30. dtypes['std_prof_nsigma'] = float - descr['std_prof_nsigma'] = 'prof_nsigma parameter for Standard star extraction. Prevents undesired rejection.' + descr['std_prof_nsigma'] = 'prof_nsigma parameter for Standard star extraction. Prevents undesired rejection. ' \ + 'NOTE: Not consumed by the code at present.' defaults['sn_gauss'] = 4.0 dtypes['sn_gauss'] = [int, float] diff --git a/pypeit/scripts/identify.py b/pypeit/scripts/identify.py index bb950d7764..55e36f27db 100644 --- a/pypeit/scripts/identify.py +++ b/pypeit/scripts/identify.py @@ -4,6 +4,7 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ +import argparse from IPython import embed from pypeit.scripts import scriptbase @@ -31,7 +32,7 @@ def get_parser(cls, width=None): parser.add_argument("--pixtol", type=float, default=0.1, help="Pixel tolerance for Auto IDs") parser.add_argument('--test', default=False, action='store_true', - help="Testing functionality, do not show plots") + help=argparse.SUPPRESS) parser.add_argument("--linear", default=False, action="store_true", help="Show the spectrum in linear (rather than log) scale") parser.add_argument('--force_save', default=False, action='store_true', diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 65a3de3ba7..28f23ee6eb 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -301,7 +301,7 @@ def default_pypeit_par(cls): par['scienceframe']['process']['sigclip'] = 5.0 # Default: 4.5 par['scienceframe']['process']['objlim'] = 2.0 # Default: 3.0 - # Object Finding and Extraction Parameters + # Object Finding, Extraction, and Sky Subtraction Parameters assumed_seeing = 1.2 # arcsec par['reduce']['findobj']['trace_npoly'] = 3 # Default: 5 par['reduce']['findobj']['snr_thresh'] = 50.0 # Default: 10.0 @@ -309,6 +309,8 @@ def default_pypeit_par(cls): par['reduce']['findobj']['maxnumber_sci'] = 5 # Default: 10 par['reduce']['findobj']['find_fwhm'] = assumed_seeing / 0.34 # Default: 5.0 pix par['reduce']['extraction']['boxcar_radius'] = assumed_seeing * 1.5 # Default: 1.5" + par['reduce']['extraction']['use_2dmodel_mask'] = False # Default: True + par['reduce']['skysub']['sky_sigrej'] = 4.0 # Default: 3.0 # Flexure Correction Parameters par['flexure']['spec_method'] = 'boxcar' # Default: 'skip' @@ -541,6 +543,10 @@ def config_specific_par(self, scifile, inp_par=None): par['flexure']['spec_maxshift'] //= binspec # Must be an integer par['sensfunc']['UVIS']['resolution'] /= binspec + # SlitEdges Exclusion Regions (10 pixels at each edge) -- adjust based on binning + excl_l, excl_r, last = np.array([10, 505, 515], dtype=int) // binspat + par['calibrations']['slitedges']['exclude_regions'] = f"1:0:{excl_l},1:{excl_r}:{last}" + return par def get_rawimage(self, raw_file, det): From 3758a3ce59eec5b28ec37860aa7d514c75b6c313 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 1 May 2023 15:06:48 -1000 Subject: [PATCH 269/308] joe's comments --- CHANGES.rst | 2 +- pypeit/images/combineimage.py | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 7c8c6a8117..03da2d83a5 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -10,7 +10,7 @@ - Added the option to disable strict version checking for 1d coadds. - Hotfix for KCWI when using alignment (aka ContBars) frames for the astrometric correction. - Sensitivity function masking and output updates -- Fix to the `variance_model` calculation for combined images. +- Fixed a bug in the `variance_model` calculation for combined images. 1.12.2 (29 Mar 2023) -------------------- diff --git a/pypeit/images/combineimage.py b/pypeit/images/combineimage.py index 92dd28faeb..87a8d34946 100644 --- a/pypeit/images/combineimage.py +++ b/pypeit/images/combineimage.py @@ -264,7 +264,7 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr # Coadd them if combine_method == 'mean': weights = np.ones(self.nfiles, dtype=float)/self.nfiles - img_list_out, var_list_out, gpm, nstack \ + img_list_out, var_list_out, gpm, nframes \ = combine.weighted_combine(weights, [img_stack, scl_stack], # images to stack [rn2img_stack, basev_stack], # variances to stack @@ -274,12 +274,12 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr comb_img, comb_scl = img_list_out comb_rn2, comb_basev = var_list_out # Divide by the number of images that contributed to each pixel - comb_scl[gpm] /= nstack[gpm] + comb_scl[gpm] /= nframes[gpm] elif combine_method == 'median': bpm_stack = np.logical_not(gpm_stack) - nstack = np.sum(gpm_stack, axis=0) - gpm = nstack > 0 + nframes = np.sum(gpm_stack, axis=0) + gpm = nframes > 0 comb_img = np.ma.median(np.ma.MaskedArray(img_stack, mask=bpm_stack),axis=0).filled(0.) # TODO: I'm not sure if this is right. Maybe we should just take # the masked average scale instead? @@ -290,10 +290,10 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr comb_basev = np.ma.sum(np.ma.MaskedArray(basev_stack, mask=bpm_stack),axis=0).filled(0.) # Convert to standard error in the median (pi/2 factor relates standard variance # in mean (sum(variance_i)/n^2) to standard variance in median) - comb_rn2[gpm] *= np.pi/2/nstack[gpm]**2 - comb_basev[gpm] *= np.pi/2/nstack[gpm]**2 + comb_rn2[gpm] *= np.pi/2/nframes[gpm]**2 + comb_basev[gpm] *= np.pi/2/nframes[gpm]**2 # Divide by the number of images that contributed to each pixel - comb_scl[gpm] *= np.pi/2/nstack[gpm] + comb_scl[gpm] *= np.pi/2/nframes[gpm] else: # NOTE: Given the check at the beginning of the function, the code # should *never* make it here. @@ -306,7 +306,7 @@ def run(self, bias=None, flatimages=None, ignore_saturation=False, sigma_clip=Tr noise_floor=self.par['noise_floor']) # Build the combined image - comb = pypeitimage.PypeItImage(image=comb_img, ivar=utils.inverse(comb_var), nimg=nstack, + comb = pypeitimage.PypeItImage(image=comb_img, ivar=utils.inverse(comb_var), nimg=nframes, amp_img=pypeitImage.amp_img, det_img=pypeitImage.det_img, rn2img=comb_rn2, base_var=comb_basev, img_scale=comb_scl, # NOTE: This *must* be a boolean. From efd98bda73ad3c9ef1226b60178ae14d841c6583 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Mon, 1 May 2023 16:49:57 -1000 Subject: [PATCH 270/308] some comments --- CHANGES.rst | 3 +++ pypeit/scripts/chk_tilts.py | 2 +- pypeit/scripts/show_2dspec.py | 13 ++----------- 3 files changed, 6 insertions(+), 12 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index e5f589811e..f22e8f4bb5 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -6,6 +6,9 @@ - Allow user control of the local sky subtraction window - Deprecate use of python 3.8 with PypeIt, allow python 3.11 - Make pypeit_show_2dspec (somewhat) backwards compatible. +- Improve speed in ginga visualization of traces and added + `pypeit_chk_tilts`. Note that this script uses an update + of the tilts datamodel, so it will not work on older reductions. 1.12.2 (29 Mar 2023) -------------------- diff --git a/pypeit/scripts/chk_tilts.py b/pypeit/scripts/chk_tilts.py index 6d8d2ac19b..f5d658655c 100644 --- a/pypeit/scripts/chk_tilts.py +++ b/pypeit/scripts/chk_tilts.py @@ -29,7 +29,7 @@ def get_parser(cls, width=None): parser.add_argument('--show_traces', default=False, action='store_true', help='Show the traced tilts. This slows down the plotting (mostly in Ginga). If not set, ' 'only the fitted, masked and rejected in the fit tilts are shown.') - parser.add_argument('--try_old', default=False, action='store_true', + parser.add_argument('--try_old', default=True, action='store_true', help='Attempt to load old datamodel versions. A crash may ensue..') return parser diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index 4799ce1856..c24f947b58 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -58,10 +58,8 @@ def show_trace(sobjs, det, viewer, ch): maskdef_objname = sobjs[kk].MASKDEF_OBJNAME maskdef_extr_flag = sobjs[kk].MASKDEF_EXTRACT manual_extr_flag = sobjs[kk].hand_extract_flag - if maskdef_objname is not None: - trc_name = '{} OBJNAME:{}'.format(obj_id, maskdef_objname) - else: - trc_name = obj_id + trc_name = '{} OBJNAME:{}'.format(obj_id, maskdef_objname) if maskdef_objname is not None else obj_id + trace_list.append(trace) trc_name_list.append(trc_name) maskdef_extr_list.append(maskdef_extr_flag is True) @@ -70,13 +68,6 @@ def show_trace(sobjs, det, viewer, ch): display.show_trace(viewer, ch, np.swapaxes(trace_list, 1,0), np.array(trc_name_list), maskdef_extr=np.array(maskdef_extr_list), manual_extr=np.array(manual_extr_list)) - # if maskdef_extr_flag is not None and maskdef_extr_flag is True: - # display.show_trace(viewer, ch, trace, trc_name, color='#f0e442') #hdu.name) - # elif manual_extr_flag is True: - # display.show_trace(viewer, ch, trace, trc_name, color='#33ccff') #hdu.name) - # else: - # display.show_trace(viewer, ch, trace, trc_name, color='orange') #hdu.name) - class Show2DSpec(scriptbase.ScriptBase): From 1530d224422928e869345ee9fda6080f2f2ccb76 Mon Sep 17 00:00:00 2001 From: deborape Date: Mon, 1 May 2023 20:08:06 -1000 Subject: [PATCH 271/308] more comments --- pypeit/scripts/chk_tilts.py | 9 +-- pypeit/wavetilts.py | 128 +++++++++++++++++++++--------------- 2 files changed, 77 insertions(+), 60 deletions(-) diff --git a/pypeit/scripts/chk_tilts.py b/pypeit/scripts/chk_tilts.py index f5d658655c..e85bdbac40 100644 --- a/pypeit/scripts/chk_tilts.py +++ b/pypeit/scripts/chk_tilts.py @@ -15,15 +15,12 @@ class ChkTilts(scriptbase.ScriptBase): @classmethod def get_parser(cls, width=None): parser = super().get_parser(description='Display Tiltimg image and 2D fitted tilts in Ginga viewer ' - 'or Matplotlib window', + 'or Matplotlib window. Tiltimg file must be in the same ' + 'directory as Tilts.', width=width) parser.add_argument('file', type=str, default=None, help='PypeIt Tilts file [e.g. Tilt_A_1_01.fits]') - parser.add_argument('--tiltimg', type=str, default=None, - help='PypeIt Tiltimg file [e.g. Tiltimg_A_1_01.fits]. If not provided,' - 'PypeIt will attempt to load the file from the same directory as the Tilts file. ' - 'Set this only if Tiltimg is in a different directory than Tilts.') parser.add_argument('--mpl', default=False, action='store_true', help='Use a matplotlib window instead of ginga to show the tilts. Faster plotting.') parser.add_argument('--show_traces', default=False, action='store_true', @@ -39,7 +36,7 @@ def main(pargs): # Load tilts = wavetilts.WaveTilts.from_file(pargs.file, chk_version=(not pargs.try_old)) - tilts.show(tilt_img=pargs.tiltimg, in_ginga=np.logical_not(pargs.mpl), show_traces=pargs.show_traces) + tilts.show(in_ginga=np.logical_not(pargs.mpl), show_traces=pargs.show_traces) diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 9119a04b95..ac0bb560aa 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -10,6 +10,7 @@ import inspect from IPython import embed +from pathlib import Path import numpy as np from matplotlib import pyplot as plt @@ -20,9 +21,11 @@ from pypeit import msgs, datamodel, utils from pypeit import calibframe +from pypeit import slittrace, wavecalib from pypeit.display import display from pypeit.core import arc from pypeit.core import tracewave +from pypeit.images import buildimage class WaveTilts(calibframe.CalibFrame): @@ -69,16 +72,19 @@ class WaveTilts(calibframe.CalibFrame): descr='Order for spectral fit (nslit)'), 'func2d': dict(otype=str, descr='Function used for the 2D fit'), 'spat_flexure': dict(otype=float, descr='Flexure shift from the input TiltImage'), - 'slits_calib_key': dict(otype=str, descr='SlitTraceSet calibration key. ' - 'This helps to find the Slits calibration ' - 'file when running pypeit_chk_tilts()'), + 'slits_filename': dict(otype=str, descr='Path to SlitTraceSet file. This helps to ' + 'find the Slits calibration file when running ' + 'pypeit_chk_tilts()'), + 'tiltimg_filename': dict(otype=str, descr='Path to Tiltimg file. This helps to ' + 'find Tiltimg file when running pypeit_chk_tilts()'), 'tilt_traces': dict(otype=table.Table, descr='Table with the positions of the ' 'traced and fitted tilts for all the slits. ' 'see :func:`make_tbl_tilt_traces` for more details. ') } def __init__(self, coeffs, nslit, spat_id, spat_order, spec_order, func2d, bpmtilts=None, - spat_flexure=None, PYP_SPEC=None, slits_calib_key=None, tilt_traces=None): + spat_flexure=None, PYP_SPEC=None, slits_filename=None, tiltimg_filename=None, + tilt_traces=None): # Parse args, _, _, values = inspect.getargvalues(inspect.currentframe()) @@ -164,46 +170,51 @@ def spatid_to_zero(self, spat_id): mtch = self.spat_id == spat_id return np.where(mtch)[0][0] - def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga=True, show_traces=False): + def show(self, waveimg=None, wcs_match=True, in_ginga=True, show_traces=False): """ + Show in ginga or mpl Tiltimg with the tilts traced and fitted overlaid + + Args: + waveimg (`numpy.ndarray`_, optional): + Image with the wavelength solution. + wcs_match (bool, optional): + If True, use this image as a reference image for the WCS and match all + image in other channels to it. + in_ginga (bool, optional): + If True, show the image in ginga. Otherwise, use matplotlib. + show_traces (bool, optional): + If True, show the traces of the tilts on the image. + """ - # Warning: This parses the filename, not the Header! - master_key, master_dir = masterframe.grab_key_mdir(self.filename, from_filename=True) - # get slits if not provided - if slits is None: - slit_masterframe_name = masterframe.construct_file_name(slittrace.SlitTraceSet, self.slits_calib_key, - master_dir=master_dir) - if os.path.exists(slit_masterframe_name): - slits = slittrace.SlitTraceSet.from_file(slit_masterframe_name) - else: - msgs.warn('Could not load slits to show with tilts image.') - # slits can still be None if Slits file does not exist - if slits is not None: - # get slitmask, used for generating waveimg and to mask tiltimg + # get slits + if (Path(self.calib_dir).resolve() / self.slits_filename).exists(): + slits = slittrace.SlitTraceSet.from_file(Path(self.calib_dir).resolve() / self.slits_filename) slitmask = slits.slit_img(initial=True, flexure=self.spat_flexure) - # get waveimg if not provided and if showing in ginga + left, right, mask = slits.select_edges(flexure=self.spat_flexure) + gpm = mask == 0 + else: + slits = None + msgs.warn('Could not load slits to show with tilts image.') + + # get tiltimg + if (Path(self.calib_dir).resolve() / self.tiltimg_filename).exists(): + tilt_img_dict = buildimage.TiltImage.from_file(Path(self.calib_dir).resolve() / self.tiltimg_filename) + tilt_img = tilt_img_dict.image * (slitmask > -1) if slits is not None else tilt_img_dict.image + else: + msgs.err('Tiltimg not found.') + + # get waveimg if waveimg is None and in_ginga: - wave_masterframe_name = masterframe.construct_file_name(wavecalib.WaveCalib, master_key, - master_dir=master_dir) - if os.path.exists(wave_masterframe_name) and slits is not None: - wv_calib = wavecalib.WaveCalib.from_file(wave_masterframe_name) + wv_calib_name = wavecalib.WaveCalib.construct_file_name(self.calib_key, calib_dir=self.calib_dir) + if Path(wv_calib_name).resolve().exists() and slits is not None: + wv_calib = wavecalib.WaveCalib.from_file(wv_calib_name) tilts = self.fit2tiltimg(slitmask, flexure=self.spat_flexure) waveimg = wv_calib.build_waveimg(tilts, slits, spat_flexure=self.spat_flexure) else: msgs.warn('Could not load Wave image to show with tilts image.') - # get tiltimg if not provided - tiltimg_masterframe_name = None - if tilt_img is None: - tiltimg_masterframe_name = masterframe.construct_file_name(buildimage.TiltImage, master_key, - master_dir=master_dir) - else: - tiltimg_masterframe_name = tilt_img - if tiltimg_masterframe_name is not None and os.path.exists(tiltimg_masterframe_name): - tilt_img_dict = buildimage.TiltImage.from_file(tiltimg_masterframe_name) - tilt_img = tilt_img_dict.image * (slitmask > -1) if slits is not None else tilt_img_dict.image - else: - msgs.err('Tiltimg not found.') + # Show + # set cuts zmax = stats.sigma_clip(tilt_img, sigma=10, return_bounds=True)[2] zmin = stats.sigma_clip(tilt_img, sigma=5, return_bounds=True)[1] * 2 cut = (zmin, zmax) @@ -216,15 +227,17 @@ def show(self, tilt_img=None, slits=None, waveimg=None, wcs_match=True, in_ginga wcs_match=wcs_match, waveimg=waveimg, clear=True) # show tilts display.show_tilts(viewer, ch, self.tilt_traces, points=show_traces, nspec=tilt_img.shape[0]) - # shoe slit edges + # show slit edges if slits is not None: - left, right, mask = slits.select_edges() - gpm = mask == 0 display.show_slits(viewer, ch, left[:, gpm], right[:, gpm], slit_ids=slits.spat_id[gpm]) # show in matplotlib else: - show_tilts_mpl(tilt_img, self.tilt_traces, slits=slits, show_traces=show_traces, cut=cut) + if slits is not None: + show_tilts_mpl(tilt_img, self.tilt_traces, show_traces=show_traces, left_edges=left[:, gpm], + right_edges=right[:, gpm], slit_ids=slits.spat_id[gpm], cut=cut) + else: + show_tilts_mpl(tilt_img, self.tilt_traces, show_traces=show_traces, cut=cut) class BuildWaveTilts: @@ -758,11 +771,17 @@ def run(self, doqa=True, debug=False, show=False): if np.any(bpm): bpmtilts[bpm] = self.slits.bitmask.turn_on(bpmtilts[bpm], flag) + # grab slits file_name + slits_filename = self.slits.construct_file_name(self.slits.calib_key) + # grab titimg file_name + tiltimg_filename = self.mstilt.construct_file_name(self.mstilt.calib_key) + # Build and return the calibration frame tilts = WaveTilts(self.coeffs, self.slits.nslits, self.slits.spat_id, self.spat_order, self.spec_order, self.par['func2d'], bpmtilts=bpmtilts, spat_flexure=self.spat_flexure, PYP_SPEC=self.spectrograph.name, - slits_calib_key=self.slits.master_key, tilt_traces=self.make_tbl_tilt_traces()) + slits_filename=slits_filename, tiltimg_filename=tiltimg_filename, + tilt_traces=self.make_tbl_tilt_traces()) # Inherit the calibration frame naming from self.mstilt # TODO: Should throw an error here if these calibration frame naming # elements are not defined by self.mstilts... @@ -901,7 +920,8 @@ def __repr__(self): return txt -def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=None): +def show_tilts_mpl(tilt_img, tilt_traces, show_traces=False, left_edges=None, + right_edges=None, slit_ids=None, cut=None): """Show the TiltImage with the traced and 2D fitted tilts overlaid Args: @@ -910,10 +930,12 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non tilt_traces (`astropy.table.Table`_): Table containing the traced and fitted tilts. See :func:`make_tbl_tilt_traces` for information on the table columns. - slits (`slittrace.SlitTraceSet`_, optional): - SlitTraceSet object show_traces (bool, optional): Show the traced tilts + left_edges, right_edges (`np.ndarray`_, optional): + Left and right edges of the slits + slit_ids (`np.ndarray`_, optional): + Slit IDs cut (tuple, optional): Lower and upper levels cut for the image display """ @@ -954,18 +976,16 @@ def show_tilts_mpl(tilt_img, tilt_traces, slits=None, show_traces=False, cut=Non plt.scatter(tilt_traces['bad2dfit_spat'][0], tilt_traces['bad2dfit_tilt'][0], color='yellow', edgecolors=None, marker='s', s=5, alpha=0.3, lw=0, label='Rejected in fit', zorder=4) - if slits is not None: + if left_edges is not None and right_edges is not None: pstep = 50 - left, right, mask = slits.select_edges() - gpm = mask == 0 - for i in range(left.shape[1]): - if gpm[i]: - spec = np.arange(left[:, i].size) - plt.plot(left[::pstep, i], spec[::pstep], color='green', lw=2, zorder=5) - plt.plot(right[::pstep, i], spec[::pstep], color='magenta', lw=2, zorder=5) - x_spatid = left[spec.size//2, i] + 0.10*(right[spec.size//2, i] - left[spec.size//2, i]) - y_spatid = spec[spec.size//2] - plt.text(x_spatid, y_spatid, str(slits.spat_id[i]), color='aquamarine', fontsize=10, alpha=1, + for i in range(left_edges.shape[1]): + spec = np.arange(left_edges[:, i].size) + plt.plot(left_edges[::pstep, i], spec[::pstep], color='green', lw=2, zorder=5) + plt.plot(right_edges[::pstep, i], spec[::pstep], color='magenta', lw=2, zorder=5) + x_spatid = left_edges[spec.size//2, i] + 0.10*(right_edges[spec.size//2, i] - left_edges[spec.size//2, i]) + y_spatid = spec[spec.size//2] + if slit_ids is not None: + plt.text(x_spatid, y_spatid, str(slit_ids[i]), color='aquamarine', fontsize=10, alpha=1, weight='bold', rotation='vertical', zorder=5) # add legend for 2D fitted tilts From 0f260a4d42640cc1fc1ace160cd28e33d44dd160 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 2 May 2023 10:53:29 -0700 Subject: [PATCH 272/308] more quicklook docs --- doc/quicklook.rst | 227 ++++++++++++++++++------------------------- pypeit/scripts/ql.py | 2 + 2 files changed, 94 insertions(+), 135 deletions(-) diff --git a/doc/quicklook.rst b/doc/quicklook.rst index 1b173c6982..02a7fdbc76 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -211,45 +211,87 @@ frames. To do so, call: If no appropriate calibrations are found, the code will fault. -.. TODO: the rest below needs to be updated! - -PypeIt Files -++++++++++++ - -Each folder generated by ``pypeit_ql`` will contain an -auto-generated :doc:`pypeit_file`. The configuration -parameters will include ``quicklook = True`` which will -set a series of parameters to values appropriate for -a quicklook reduction. - -The :doc:`pypeit_file` for the science data will also -include: - -.. code-block:: ini - - [baseprocess] - calib_setup_and_bit = SETUP_BIT - -where ``SETUP`` and ``BIT`` are taken from the calibration -files found in the ``Calibrations/`` folder. -For example, ``SETUP_BIT`` may be ``A_7``. -This should -ensure that the science data are processed using the -correct calibrations. - Algorithm +++++++++ - -The approach is to (1) generate calibration files if needed -using an auto-generated :doc:`pypeit_file` -and then (2) process the input science file(s) with -a separate auto-generated :doc:`pypeit_file`. -These are generally organized in separate directories -along with the output products (see below). -This script performs a boxcar (only) extraction of -long- or multi-slit observations. - +The quick-look script proceeds as follows: + +- Parse the list of files to be processed + +- Extract metadata from the file headers, just as done by :ref:`pypeit_setup`. + If any frames provided cannot be typed, *the code will fault* during this + "setup phase." + +- Isolate all of the science frames. Standard frames will also be isolated, + unless the user selects to ignore standards using ``--ignore_std``. + + - All science+standard frames must come from the same instrument + setup/configuration. + + - All science images (and separately all standard frames) either set to the + same combination group (meaning they will be stacked) or, for some + instruments, parsed into dither sequences. Separate dither sequences are + combined; i.e., all "A" frames with a given offset are combined. + + - All science+standard images are forced into the same calibration group, if + not automatically done. + + - If a "parent" calibration directory is provided (using the + ``--parent_calib_dir`` option), the script matches the instrument + setup/configuration to the available calibrations. If none are found, the + code will fault; otherwise, this matching is used to set the calibrations + directory (i.e., the same thing that can be done manually using the + ``--setup_calib_dir`` option). + +- If the calibration directory is not yet defined (either because it wasn't set + directly or no parent directory was set), the code will first try to find any + matching calibrations in the current working directory. + + - If matches are found, the calibrations will either be used as they are or, + if the user sets the ``--overwrite_calibs`` flag, reprocessed using the + provided files. + + - If matches are not found, new calibrations are processed using the + provided files, and the setup/configuration identifier is forced to be + consistent with any existing calibrations in the directory. For example, + if ``shane_kast_blue_A`` exists in your current working directory but the + new files you are trying to process do not match the setup for those + calibrations, a new directory called ``shane_kast_blue_B/`` will be + created with the newly processed calibrations. + +- Any new calibrations are processed using the pypeit file written to the new + calibrations directory (e.g., ``shane_kast_blue_B``). *Do not delete these + pypeit files!* They are what's used to match the instrument + setup/configuration to new frames to be processed. Note that adjustements can + be made directly to that file and the calibrations can be re-processed using a + normal execution of :ref:`run-pypeit`. + +- The quick-look script can be run by only providing calibrations frames. The + code will end here if that is the case. + +- If science (and/or standard) frames are provided, the code creates the output + directory and writes a pypeit file used to process the data. Similar to the + calibrations, this file can be edited directly and the data can be reprocessed + using a normal execution of :ref:`run-pypeit`. + +- If the user selects to coadd 2D frames (e.g., coadding different dither + positions) using the ``--coadd`` tag, the code will execute + ``pypeit_setup_coadd2d`` using the written pypeit file and then execute the 2D + coadd. + +Processing Details +++++++++++++++++++ + +The details of the ``pypeit_ql`` script given above is essentially just +management of a provided set of files to construct a directory structure and a +set of pypeit files. Beyond that, it executes :ref:`run-pypeit` exactly as one +would from the command line. The only difference is that it sets specific +parameters that execute PypeIt in a mode that should proceed more quickly. + +For example, cosmic rays are not identified/rejected in the science image and +only boxcar extraction is performed. + +.. TODO: provide additional detail? Longslit ======== @@ -265,105 +307,19 @@ Standard call Here is a sample call for a standard longslit run on files from the ``shane_kast_blue`` Development suite. In the example, the files -b1.fits.gz b10.fits.gz b27.fits.gz are an +``b1.fits.gz``, ``b10.fits.gz``, and ``b27.fits.gz`` are an arc, flat, and science frame. But their ordering is not important. .. code-block:: bash - pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz - -This call first generates a ``shane_kast_blue_A`` folder with the -processed calibrations and associated QA :doc:`outputs`. -It then generates a separate folder named ``b27`` which holds -the ``Science`` folder with the processed 2D spectral -image and the extracted spectra. - -Previous Calibrations -+++++++++++++++++++++ - -There are various ways to use previously generated -calibration files. We provide examples of each. - -Different file --------------- - -Simply re-running the script -above but replacing the ``b27.fits.gz`` file with -``b28.fits.gz`` -will reuse the calibrations we just made: - -.. code-block:: bash - - pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b28.fits.gz - -Here the script will detect that the calibration -files are already present and will only process the science -frame. Therefore, files ``b1.fits.gz`` and ``b10.fits.gz`` are -entirely ignored. - -You can, however, force a re-generation of the calibrations -with ``--clobber_calibs``. - - -Calibrations Folder -------------------- - -One can specifiy the path to a set of calibraion files -for use as calibrations with ``--calib_dir``. - -.. code-block:: bash - - pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz b28.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/shane_kast_blue/TMP/shane_kast_blue_A/Calibrations - -Note that the code will adopt the setup and bit number -of the calibration files. - -Warning: the code will not check that the configuration -of these calibration files match the science frames. - -Calibrations Folder -------------------- - -One can specifiy the path to a folder containing -one or more *sub-folders* of reduced calibration files, -each of which would hold a Calibrations/ folder. -This is set with the ``--calib_dir`` option. - -A standard use case is for ``keck_deimos`` reductions -where the calibrations were auto-generated in the -afternoon by WMKO scripts. - -But here is an example with the ``shane_kast_blue``: - -.. code-block:: bash - - pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz b28.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/shane_kast_blue/TMP - -At least one set of the calibrations must have a -configuration matching the science frames. - -Stacked frames -++++++++++++++ - -If you perform the call with multiple science frames, -the default mode is to stack these frames and then -perform sky subtraction, object finding, and extraction. - -Here is an example call: - -.. code-block:: bash - - pypeit_ql shane_kast_blue --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 --rawfiles b1.fits.gz b10.fits.gz b27.fits.gz b28.fits.gz - -This generates a folder named ``b27-b28`` with one -``spec2d`` and one ``spec1d`` file in the ``Science`` folder. + pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files -You can force the script to process each science frame -individually with ``--no_stack``. -This is the same as making multiple calls with ``pypeit_ql`` -replacing the science file each time, except the -folders generated would be ``b27``, ``b28``, etc. +This call first generates a ``shane_kast_blue_A`` folder with the processed +calibrations (assuming there are no other calibrations in the current working +directory) and associated QA :doc:`outputs`. It then generates a separate +folder named ``b27``, which holds the ``Science`` folder with the processed 2D +spectral image and the extracted spectra. Other Options +++++++++++++ @@ -389,9 +345,9 @@ as described in :ref:`reduxpar`. Here is an example with the (old) ``keck_lris_red`` detector: -.. code-block:: bash +.. code-block:: console - pypeit_ql keck_lris_red --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_lris_red/long_600_7500_d560 --rawfiles LR.20160216.40478.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_lris_red/long_600_7500_d560/Calibrations --det 2 + pypeit_ql keck_lris_red --raw_path /path/to/files --raw_files LR.20160216.40478.fits.gz --setup_calib_dir /path/to/parent/calib/dir/keck_lris_red/long_600_7500_d560/Calibrations --det 2 This will only process the second detector. @@ -421,8 +377,7 @@ Here is an example with ``keck_deimos``: .. code-block:: bash - pypeit_ql keck_deimos --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_deimos/600ZD_M_6500 --rawfiles d1010_0056.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_deimos/600ZD_M_6500/Calibrations --slitspatnum MSC02:452 - + pypeit_ql keck_deimos --raw_path /path/to/files --raw_files d1010_0056.fits.gz --setup_calib_dir /path/to/parent/calib/dir/keck_deimos/600ZD_M_6500/Calibrations --slitspatnum MSC02:452 Here we have specified ``--slitspatnum`` as ``MSC02:452``, which means use the 2nd mosaic @@ -442,8 +397,10 @@ Here is an example with ``keck_deimos``: .. code-block:: bash - pypeit_ql keck_deimos --full_rawpath /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/RAW_DATA/keck_deimos/600ZD_M_6500 --rawfiles d1010_0056.fits.gz --calib_dir /home/xavier/Projects/PypeIt-codes/PypeIt-development-suite/REDUX_OUT/keck_deimos/600ZD_M_6500/Calibrations --maskID 958454 + pypeit_ql keck_deimos --raw_path /path/to/files --raw_files d1010_0056.fits.gz --setup_calib_dir /path/to/parent/calib/dir/keck_deimos/600ZD_M_6500/Calibrations --maskID 958454 This requires that the detector(s) with this slit have been calibrated (or will be calibrated, e.g. by -specfiying ``--det``). +specifying ``--det``). + + diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index d29532e218..d96c1c555c 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -783,6 +783,8 @@ def main(args): # relevant set of existing calibrations setup_calib_dir = match_to_calibs(ps_sci, args.parent_calib_dir) if setup_calib_dir is None: + # TODO: Fault here, or keep going to the next step, which is + # to try to build the calibrations? msgs.error('No calibrations exist or could not find appropriate setup match ' f'in provided parent directory: {args.parent_calib_dir}') msgs.info(f'Attempting to use archived calibrations found in {setup_calib_dir}.') From 096680b06d7c481b9afc2f03683e97d5da387ef6 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Wed, 3 May 2023 11:59:34 -0700 Subject: [PATCH 273/308] configuration comparison bug fixes --- pypeit/metadata.py | 17 +++++++++----- pypeit/spectrographs/spectrograph.py | 34 ++++++++++++++++++---------- 2 files changed, 33 insertions(+), 18 deletions(-) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 05b2ab0e56..c601a4b01a 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -410,7 +410,7 @@ def finalize_usr_build(self, frametype, setup): self.set_calibration_groups(default=True) self.set_combination_groups() - def get_configuration(self, indx, cfg_keys=None): + def get_configuration(self, indx, cfg_keys=None, modified=False): """ Return the configuration dictionary for a given frame. @@ -422,13 +422,18 @@ def get_configuration(self, indx, cfg_keys=None): The list of metadata keys to use to construct the configuration. If None, the `configuration_keys` of :attr:`spectrograph` is used. + modified (:obj:`bool`, optional): + Return the configuration as modified by the + spectrograph-specific + :func:`~pypeit.spectrographs.spectrograph.Spectrograph.modify_config`. Returns: dict: A dictionary with the metadata values from the selected row. """ _cfg_keys = self.spectrograph.configuration_keys() if cfg_keys is None else cfg_keys - return {k:self.table[k][indx] for k in _cfg_keys} + cfg = {k:self.table[k][indx] for k in _cfg_keys} + return self.spectrograph.modify_config(self.table[indx], cfg) if modified else cfg def construct_obstime(self, row): """ @@ -821,15 +826,15 @@ def set_configurations(self, configs=None, force=False, fill=None): for i in range(nrows): for d, cfg in _configs.items(): # modify the configuration items only for specific frames. This is instrument dependent. - cfg = self.spectrograph.modify_config(self.table[i], cfg) - if self.spectrograph.same_configuration([self.get_configuration(i), cfg]): -# if row_match_config(self.table[i], cfg, self.spectrograph): + mod_cfg = self.spectrograph.modify_config(self.table[i], cfg) + this_cfg = self.get_configuration(i, modified=True) + if self.spectrograph.same_configuration([this_cfg, mod_cfg], check_keys=False): if d in self.table['setup'][i]: continue elif self.table['setup'][i] == 'None': self.table['setup'][i] = d elif not is_science[i]: - self.table['setup'][i] += ',{}'.format(d) + self.table['setup'][i] += f',{d}' # Check if any of the configurations are not set not_setup = self.table['setup'] == 'None' diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index c84c7fade8..c7cd51ffa4 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -683,7 +683,7 @@ def configuration_keys(self): """ return ['dispname', 'dichroic', 'decker'] - def same_configuration(self, configs): + def same_configuration(self, configs, check_keys=True): """ Check if a set of instrument setup/configurations are all the same, within the tolerance set for this spectrograph for each configuration @@ -695,21 +695,30 @@ def same_configuration(self, configs): dictionary element must be a dictionary with the values for the configuration-defining metadata parameters for this spectrograph. + check_keys (:obj:`bool`, optional): + Check that the keys in each configuration match the expected + keys defined by :func:`configuration_keys`. If False, the keys + are set by the first configuration in ``configs``, *not* those + returned by :func:`configuration_keys`. Returns: :obj:`bool`: Flag that all configurations in the list are the same. """ cfg_id = list(configs.keys() if isinstance(configs, dict) else range(len(configs))) - # The list of metadata keys used to define a unique configuration - cfg_meta = self.configuration_keys() - # Check that the relevant keys are in the first configuration - for key in cfg_meta: - if key not in configs[cfg_id[0]].keys(): - msgs.error(f'Configuration {cfg_id[0]} missing required key, {key}. Cannot ' - 'determine if configurations are the same!') - if key not in self.meta.keys(): - msgs.error(f'CODING ERROR: {key} is a configuration key but not defined in the ' - f'metadata dictionary for {self.__class__.__name__}!') + + if check_keys: + # The list of metadata keys used to define a unique configuration + cfg_meta = self.configuration_keys() + # Check that the relevant keys are in the first configuration + for key in cfg_meta: + if key not in configs[cfg_id[0]].keys(): + msgs.error(f'Configuration {cfg_id[0]} missing required key, {key}. Cannot ' + 'determine if configurations are the same!') + if key not in self.meta.keys(): + msgs.error(f'CODING ERROR: {key} is a configuration key but not defined in ' + f'the metadata dictionary for {self.__class__.__name__}!') + else: + cfg_meta = configs[cfg_id[0]].keys() # Match against all of the other configurations for _cfg_id in cfg_id[1:]: @@ -719,7 +728,8 @@ def same_configuration(self, configs): msgs.error(f'Configuration {_cfg_id} missing required key, {key}. Cannot ' 'determine if configurations are the same!') # TODO: Instead check if 'rtol' exists and is not None? - if isinstance(configs[_cfg_id][key], (float, np.floating)): + if isinstance(configs[cfg_id[0]][key], (float, np.floating)) \ + and isinstance(configs[_cfg_id][key], (float, np.floating)): # NOTE: No float-valued metadata can be 0! matched += [np.abs(configs[cfg_id[0]][key]-configs[_cfg_id][key]) / configs[cfg_id[0]][key] < self.meta[key]['rtol']] From 43230630fd6cdab0cae58114a013dba6af83e03c Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 5 May 2023 07:46:12 -0700 Subject: [PATCH 274/308] ql coadding and diplay --- doc/coadd2d.rst | 50 +++++++++++++++------- pypeit/coadd2d.py | 66 +++++++++++++++++++++++++++- pypeit/par/pypeitpar.py | 2 +- pypeit/pypeit.py | 5 +-- pypeit/scripts/coadd_2dspec.py | 37 ++-------------- pypeit/scripts/ql.py | 76 +++++++++++++++++++++++++-------- pypeit/scripts/setup_coadd2d.py | 31 +++++++++++++- pypeit/scripts/show_2dspec.py | 6 +-- 8 files changed, 198 insertions(+), 75 deletions(-) diff --git a/doc/coadd2d.rst b/doc/coadd2d.rst index 18cd553a69..468d3e9d1c 100644 --- a/doc/coadd2d.rst +++ b/doc/coadd2d.rst @@ -10,8 +10,8 @@ Coadd 2D Spectra Overview ======== -This document will describe how to combine the 2D spectra from multiple -exposures. **For worked examples,** see :doc:`tutorials/coadd2d_howto`. +This document describes how to combine the 2D spectra from multiple exposures. +**For a worked examples,** see :doc:`tutorials/coadd2d_howto`. Coadding must be done outside of the data reduction pipeline (:ref:`run-pypeit`); i.e., PypeIt will *not* coadd your spectra as @@ -91,16 +91,39 @@ as additional columns. See :ref:`data_block` for its formatting. Edit it accordingly to meet the new standard above. +.. _pypeit_setup_coadd2d: + +Setup script +------------ + +Similar to :ref:`pypeit_setup`, we provide a script that helps you construct the +required input file. In this case, ``pypeit_setup_coadd2d`` helps you build the +required ``.coadd2d`` file. + +The script usage can be displayed by calling the script with the +``-h`` option: + +.. include:: help/pypeit_setup_coadd2d.rst + +For example, assuming you have already executed :ref:`run-pypeit` on your data +using a pypeit file, you can construct the default coadd2d file(s) using: + +.. code-block:: console + + pypeit_setup_coadd2d keck_lris_A.pypeit + +This will produce one ``.coadd2d`` file per unique ``target`` in the pypeit file +with associated ``spec2d`` files in the output science directory. The script +provides additional options that allow you to select specific objects/targets, +specify the detectors to coadd, and/or specify the slits that should be coadded. + .. _pypeit-coadd-2dspec: pypeit_coadd_2dspec =================== -The primary script is called ``pypeit_coadd_2dspec``, which takes -an input file or *object name* to guide the process. - -usage ------ +Once you have prepared a ``.coadd2d`` file, the primary script to execute is +``pypeit_coadd_2dspec``. The script usage can be displayed by calling the script with the ``-h`` option: @@ -129,8 +152,6 @@ If not provided, defaults to a portion of the input spec2d filenames. Provides additional debugging diagnostic plots compared to using ``--show``. - - run --- @@ -138,13 +159,12 @@ Then run the script: .. code-block:: console - pypeit_coadd_2dspec --file FRB190711_XS_coadd2d.cfg --show - - + pypeit_coadd_2dspec FRB190711_XS.coadd2d --show -The parameters that guide the coadd process are also written -to disk for your records. The default location is ``coadd2d.par``. -You can choose another location by modifying `--basename`_. +The parameters that guide the coadd process are also written to disk for your +records. The default location is ``*_coadd2d.par``, where the wildcard should +contain the frames included and the target/object name. You can choose another +location by modifying `--basename`_. **For worked examples,** see :doc:`tutorials/coadd2d_howto`. diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index 4511441fe0..de141b1071 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -4,6 +4,7 @@ .. include common links, assuming primary doc root is up one directory .. include:: ../include/links.rst """ +from pathlib import Path import os import copy @@ -13,6 +14,7 @@ from scipy import ndimage from matplotlib import pyplot as plt from astropy.table import Table, vstack +from astropy.io import fits from pypeit import msgs from pypeit import utils @@ -31,7 +33,6 @@ from pypeit.manual_extract import ManualExtractionObj - class CoAdd2D: """ @@ -266,6 +267,69 @@ def default_par(spectrograph, inp_cfg=None, det=None, slits=None): return cfg + @staticmethod + def default_basename(spec2d_files): + """ + Construct the base name of the output spec2d file produced by coadding. + + Args: + spec2d_files (:obj:`list`): + The list of PypeIt spec2d files to be coadded. + + Returns: + :obj:`str`: The root base name for the output coadd2d spec2d file. + """ + # Get the output basename + frsthdr = fits.getheader(spec2d_files[0]) + lasthdr = fits.getheader(spec2d_files[-1]) + if 'FILENAME' not in frsthdr: + msgs.error(f'Missing FILENAME keyword in {spec2d_files[0]}. Set the basename ' + 'using the command-line option.') + if 'FILENAME' not in lasthdr: + msgs.error(f'Missing FILENAME keyword in {spec2d_files[-1]}. Set the basename ' + 'using the command-line option.') + if 'TARGET' not in frsthdr: + msgs.error(f'Missing TARGET keyword in {spec2d_files[0]}. Set the basename ' + 'using the command-line option.') + return f"{io.remove_suffix(frsthdr['FILENAME'])}-" \ + f"{io.remove_suffix(lasthdr['FILENAME'])}-{frsthdr['TARGET']}" + + @staticmethod + def output_paths(spec2d_files, par): + """ + Construct the names and ensure the existence of the science and QA output directories. + + Args: + spec2d_files (:obj:`list`): + The list of PypeIt spec2d files to be coadded. The top-level + directory for the coadd2d output directories is assumed to be + same as used by the basic reductions. For example, if one of + the spec2d files is + ``/path/to/reductions/Science/spec2d_file.fits``, the parent + directory for the coadd2d directories is + ``/path/to/reductions/``. + par (:class:`~pypeit.par.pypeitpar.PypeItPar`): + Full set of parameters. The only used parameters are + ``par['rdx']['scidir']`` and ``par['rdx']['qadir']``. WARNING: + This also *alters* the value of ``par['rdx']['qadir']``!! + + Returns: + :obj:`tuple`: Two strings with the names of (1) the science output + directory and (2) the QA output directory. The function also + creates both directories if they do not exist. + """ + # Science output directory + pypeit_scidir = Path(spec2d_files[0]).parent + coadd_scidir = pypeit_scidir.parent / f"{par['rdx']['scidir']}_coadd" + if not coadd_scidir.exists(): + coadd_scidir.mkdir(parents=True) + # QA directory + par['rdx']['qadir'] += '_coadd' + qa_path = pypeit_scidir.parent / par['rdx']['qadir'] / 'PNGs' + if not qa_path.exists(): + qa_path.mkdir(parents=True) + return str(coadd_scidir), str(qa_path) + def good_slitindx(self, only_slits=None): """ This provides an array of index of slits in the un-coadded frames that are considered good for 2d coadding. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index d948388fbf..dac2173bd3 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -1240,7 +1240,7 @@ def __init__(self, only_slits=None, offsets=None, spat_toler=None, weights=None, 'I.e., only this/these slit/s will be coadded.' defaults['offsets'] = 'auto' - dtypes['offsets'] = [list, str] + dtypes['offsets'] = [str, list] descr['offsets'] = 'Offsets for the images being combined (spat pixels). Options are: ' \ '``maskdef_offsets``, ``auto``, and a list of offsets. ' \ 'Use ``maskdef_offsets`` to use the offsets computed during the slitmask ' \ diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index 93ea03948e..dcc386d2d1 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -197,9 +197,8 @@ def spec_output_file(self, frame, twod=False): Returns: :obj:`str`: The path for the output file """ - return self.get_spec_file_name(self.science_path, self.fitstbl.construct_basename(frame)) -# return os.path.join(self.science_path, 'spec{0}d_{1}.fits'.format('2' if twod else '1', -# self.fitstbl.construct_basename(frame))) + return self.get_spec_file_name(self.science_path, self.fitstbl.construct_basename(frame), + twod=twod) @staticmethod def get_spec_file_name(science_path, basename, twod=False): diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 44a799ed41..26fe55e5a3 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -99,42 +99,13 @@ def main(args): spec2d_files = coadd2dFile.filenames # Get the paths - # NOTE: These two should be the same as - # Path(par['rdx']['redux_path']).resolve() / par['rdx']['scidir'] - # Path(spec2d_files[0]).parent - pypeit_scidir = Path(spec2d_files[0]).parent - coadd_scidir = pypeit_scidir.parent / f"{par['rdx']['scidir']}_coadd" - if not coadd_scidir.exists(): - coadd_scidir.mkdir(parents=True) -# pypeit_calib_dir = pypeit_scidir.parent / par['calibrations']['calib_dir'] -# coadd_calib_dir = pypeit_scidir.parent / f"{par['calibrations']['calib_dir']}_coadd" -# if not coadd_calib_dir.exists(): -# coadd_calib_dir.mkdir(parents=True) -# pypeit_qa_dir = pypeit_scidir.parent / par['rdx']['qadir'] -# coadd_qa_dir = pypeit_scidir.parent / f"{par['rdx']['qadir']}_coadd" -# qa_path = coadd_qa_dir / 'PNGs' - par['rdx']['qadir'] += '_coadd' - qa_path = pypeit_scidir.parent / par['rdx']['qadir'] / 'PNGs' - if not qa_path.exists(): - qa_path.mkdir(parents=True) + coadd_scidir, qa_path = map(lambda x : Path(x).resolve(), + CoAdd2D.output_paths(spec2d_files, par)) # Get the output basename head2d = fits.getheader(spec2d_files[0]) - if args.basename is None: - lasthdr = fits.getheader(spec2d_files[-1]) - if 'FILENAME' not in head2d: - msgs.error(f'Missing FILENAME keyword in {spec2d_files[0]}. Set the basename ' - 'using the command-line option.') - if 'FILENAME' not in lasthdr: - msgs.error(f'Missing FILENAME keyword in {spec2d_files[-1]}. Set the basename ' - 'using the command-line option.') - if 'TARGET' not in head2d: - msgs.error(f'Missing TARGET keyword in {spec2d_files[0]}. Set the basename ' - 'using the command-line option.') - basename = f"{io.remove_suffix(head2d['FILENAME'])}-" \ - f"{io.remove_suffix(lasthdr['FILENAME'])}-{head2d['TARGET']}" - else: - basename = args.basename + basename = coadd2d.CoAdd2D.default_basename(spec2d_files) \ + if args.basename is None else args.basename # Write the par to disk par_outfile = coadd_scidir.parent / f'{basename}_coadd2d.par' diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index d96c1c555c..f0c6515b26 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -63,6 +63,7 @@ from pypeit.scripts.setup_coadd2d import SetupCoAdd2D from pypeit.scripts.coadd_2dspec import CoAdd2DSpec +from pypeit.scripts.show_2dspec import Show2DSpec def get_files(raw_files, raw_path, ext): """ @@ -643,6 +644,8 @@ def get_parser(cls, width=None): # - specify `target` to be reduced, either parsed from the frame # header (i.e., target in the fitstbl) or from the mask information + # TODO: Get rid of "calibs only"? I.e., force user only provide + # calibrations if they only want to process calibrations... parser.add_argument('--calibs_only', default=False, action='store_true', help='Reduce only the calibrations?') parser.add_argument('--overwrite_calibs', default=False, action='store_true', @@ -668,12 +671,35 @@ def get_parser(cls, width=None): 'reduction of the science frames.') parser.add_argument('--snr_thresh', default=None, type=float, help='Change the default S/N threshold used during source detection') + parser.add_argument('--skip_display', dest='show', default=True, action='store_false', + help='Run the quicklook without displaying any results.') + # TODO: Add fluxing option + + # Coadding options parser.add_argument('--coadd', default=False, action='store_true', help='Perform default 2D coadding.') - # TODO: Add in relevant 2d coadding parameters, like detector, slits, - # objects, etc. 2D coadding is basically just a default run of - # `pypeit_setup_coadd2d` and `pypeit_coadd_2dspec`. + parser.add_argument('--only_slits', type=str, nargs='+', + help='If coadding, only coadd this space-separated set of slits. If ' + 'not provided, all slits are coadded.') + parser.add_argument('--offsets', type=str, default=None, + help='If coadding, spatial offsets to apply to each image; see the ' + '[coadd2d][offsets] parameter. Options are restricted here to ' + 'either maskdef_offsets or auto. If not specified, the ' + '(spectrograph-specific) default is used.') + parser.add_argument('--weights', type=str, default=None, + help='If coadding, weights used to coadd images; see the ' + '[coadd2d][weights] parameter. Options are restricted here to ' + 'either uniform or auto. If not specified, the ' + '(spectrograph-specific) default is used.') + parser.add_argument('--spec_samp_fact', default=1.0, type=float, + help='If coadding, adjust the wavelength grid sampling by this ' + 'factor. For a finer grid, set value to <1.0; for coarser ' + 'sampling, set value to >1.0).') + parser.add_argument('--spat_samp_fact', default=1.0, type=float, + help='If coadding, adjust the spatial grid sampling by this ' + 'factor. For a finer grid, set value to <1.0; for coarser ' + 'sampling, set value to >1.0).') return parser @@ -880,6 +906,8 @@ def main(args): # Run it pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_calibs=True) + embed() + exit() pypeIt.reduce_all() pypeIt.build_qa() @@ -898,21 +926,35 @@ def main(args): # NOTE: This should only find *one* coadd2d file because quick-look # should be limited to performing reduction for one target at a # time. - # TODO: Need to have SetupCoAdd2D.main return the names of the - # written files... - coadd_files = sorted(Path(sci_pypeit_file).resolve().parent.glob('*.coadd2d')) + # TODO: Have SetupCoAdd2D.main return the names of the written + # files? + coadd_file = sorted(Path(sci_pypeit_file).resolve().parent.glob('*.coadd2d')) + if len(coadd_file) != 1: + msgs.error('There should be only one 2D coadd file.') + coadd_file = coadd_file[0] - # Run the coadding, only on those coadd files with more than one file - for coadd_file in coadd_files: - coadd2dFile = inputfiles.Coadd2DFile.from_file(coadd_file) - if len(coadd2dFile.data) < 2: - msgs.warn(f'{coadd_file} only has one spec2d file. Continuing...') - continue - - # TODO: Add options (e.g. spatial/spectral sampling...) - CoAdd2DSpec.main(CoAdd2DSpec.parse_args([coadd_file])) - - # TODO: Add some show options + # Run the coadding + coadd2dFile = inputfiles.Coadd2DFile.from_file(coadd_file) + if len(coadd2dFile.data) < 2: + msgs.error(f'{coadd_file} only has one spec2d file. Continuing...') + + # TODO: Add options (e.g. spatial/spectral sampling...) + CoAdd2DSpec.main(CoAdd2DSpec.parse_args([coadd_file])) + + # Get the output file name + spectrograph, par, _ = coadd2dFile.get_pypeitpar() + spec2d_files = coadd2dFile.filenames + coadd_scidir = Path(CoAdd2D.output_paths(spec2d_files, par)[0]).resolve() + basename = coadd2d.CoAdd2D.default_basename(spec2d_files) + spec2d_file = str(coadd_scidir / f'spec2d_{basename}.fits') + else: + # Grab the spec2d file (or at least the first one) + frame = pypeIt.fitstbl.find_frames('science', index=True)[0] + spec2d_file = pypeIt.spec_output_file(frame, twod=True) + + if args.show: + # TODO: Need to parse detector here! + Show2DSpec.main(Show2DSpec.parse_args([spec2d_file])) exec_s = np.around(time.perf_counter()-tstart, decimals=1) msgs.info(f'Quicklook execution time: {datetime.timedelta(seconds=exec_s)}') diff --git a/pypeit/scripts/setup_coadd2d.py b/pypeit/scripts/setup_coadd2d.py index 0fef9aa2f0..0b65942e39 100644 --- a/pypeit/scripts/setup_coadd2d.py +++ b/pypeit/scripts/setup_coadd2d.py @@ -40,6 +40,18 @@ def get_parser(cls, width=None): parser.add_argument('--only_slits', type=str, nargs='+', help='A space-separated set of slits to coadd. If not provided, all ' 'slits are coadded.') + parser.add_argument('--offsets', type=str, default=None, + help='Spatial offsets to apply to each image; see the ' + '[coadd2d][offsets] parameter. Options are restricted here to ' + 'either maskdef_offsets or auto. If not specified, the ' + '(spectrograph-specific) default is used. Other options exist ' + 'but must be entered by directly editing the coadd2d file.') + parser.add_argument('--weights', type=str, default=None, + help='Weights used to coadd images; see the [coadd2d][weights] ' + 'parameter. Options are restricted here to ' + 'either uniform or auto. If not specified, the ' + '(spectrograph-specific) default is used. Other options exist ' + 'but must be entered by directly editing the coadd2d file.') return parser @@ -63,10 +75,19 @@ def main(args): pypeitFile = inputfiles.PypeItFile.from_file(args.pypeit_file) # Get the spectrograph instance and the parameters used spec, par, _ = pypeitFile.get_pypeitpar() - # Get the Science directory used + # Get the Science directory used. + # NOTE: When [rdx][redux_path] isn't defined, the get_pypeitpar() + # function will use the current working directory. If the pypeit_file + # being source is in a different directory, this means that the Science + # directory won't be found. So first try to set the science directory + # based on the parameter value, then try to base it on the parent + # directory of the provided pypeit file. The latter is critical to the + # vet_test in the dev-suite. sci_dir = Path(par['rdx']['redux_path']).resolve() / par['rdx']['scidir'] if not sci_dir.exists(): - msgs.error(f'Science directory not found: {sci_dir}\n') + sci_dir = Path(args.pypeit_file).resolve().parent / par['rdx']['scidir'] + if not sci_dir.exists(): + msgs.error(f'Science directory not found: {sci_dir}\n') # Find all the spec2d files: spec2d_files = sorted(sci_dir.glob('spec2d*')) @@ -109,6 +130,12 @@ def main(args): cfg['rdx']['qadir'] = par['rdx']['qadir'] utils.add_sub_dict(cfg, 'calibrations') cfg['calibrations']['calib_dir'] = par['calibrations']['calib_dir'] + # Add the offsets and weights + utils.add_sub_dict(cfg, 'coadd2d') + cfg['coadd2d']['offsets'] = par['coadd2d']['offsets'] \ + if args.offsets is None else args.offsets + cfg['coadd2d']['weights'] = par['coadd2d']['weights'] \ + if args.weights is None else args.weights # Build the default parameters cfg = CoAdd2D.default_par(spec.name, inp_cfg=cfg, det=args.det, slits=args.only_slits) diff --git a/pypeit/scripts/show_2dspec.py b/pypeit/scripts/show_2dspec.py index afca9597a7..8c34353031 100644 --- a/pypeit/scripts/show_2dspec.py +++ b/pypeit/scripts/show_2dspec.py @@ -97,9 +97,9 @@ def get_parser(cls, width=None): help='Upon completion embed in ipython shell') parser.add_argument('--ignore_extract_mask', default=False, action='store_true', help='Ignore the extraction mask') - parser.add_argument('--sensfunc', type=str, default=None, - help='Pass in a sensfunc to display the sky-subtracted image with a ' - 'flux calibration') +# parser.add_argument('--sensfunc', type=str, default=None, +# help='Pass in a sensfunc to display the sky-subtracted image with a ' +# 'flux calibration') parser.add_argument('--channels', type=str, help='Only show a subset of the channels (0-indexed), e.g. 1,3') parser.add_argument('--prefix', type=str, default='', From e4900df43d6a31db065b696c9aabbd4fc6fb00cf Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 5 May 2023 07:55:15 -0700 Subject: [PATCH 275/308] doc update --- doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 2 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 2 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 2 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_calibs.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 46 +++++++++++++++++++------ doc/help/pypeit_ql_multislit.rst | 2 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 2 +- doc/help/pypeit_setup_coadd2d.rst | 14 +++++++- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 8 ++--- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 4 +-- doc/pypeit_par.rst | 24 +++++++------ doc/quicklook.rst | 2 +- 41 files changed, 103 insertions(+), 65 deletions(-) diff --git a/doc/help/pypeit_cache_github_data.rst b/doc/help/pypeit_cache_github_data.rst index 2edc890ebc..5948f93d00 100644 --- a/doc/help/pypeit_cache_github_data.rst +++ b/doc/help/pypeit_cache_github_data.rst @@ -25,7 +25,7 @@ vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of GitHub file (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index 440eb0b0ef..a68e12c7ca 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits] - optional arguments: + options: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: Alignments) \ No newline at end of file diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index f226c14e5a..4476e1d79d 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -8,7 +8,7 @@ positional arguments: trace_file PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz] - optional arguments: + options: -h, --help show this help message and exit --mpl Use a matplotlib window instead of ginga to show the trace (default: False) diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index fc04d50177..91f2178cb3 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Flat file [e.g. Flat_A_1_DET01.fits] - optional arguments: + options: -h, --help show this help message and exit --type TYPE Which flats to display. Must be one of: pixel, illum, all (default: all) diff --git a/doc/help/pypeit_chk_for_calibs.rst b/doc/help/pypeit_chk_for_calibs.rst index c48c189260..34b2c930bc 100644 --- a/doc/help/pypeit_chk_for_calibs.rst +++ b/doc/help/pypeit_chk_for_calibs.rst @@ -10,7 +10,7 @@ positional arguments: root File path+root, e.g. /data/Kast/b - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_chk_noise_1dspec.rst b/doc/help/pypeit_chk_noise_1dspec.rst index 6d8b176f81..80fa4e2613 100644 --- a/doc/help/pypeit_chk_noise_1dspec.rst +++ b/doc/help/pypeit_chk_noise_1dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec1d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --fileformat FILEFORMAT Is this coadd1d or spec1d? (default: spec1d) diff --git a/doc/help/pypeit_chk_noise_2dspec.rst b/doc/help/pypeit_chk_noise_2dspec.rst index d5be3f1c5b..fc20909467 100644 --- a/doc/help/pypeit_chk_noise_2dspec.rst +++ b/doc/help/pypeit_chk_noise_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec2d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --det DET Detector name or number. If a number, the name is constructed assuming the reduction is for a single diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 75b3317647..6835c646a2 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -9,6 +9,6 @@ input_file PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or spec2d file - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_coadd_1dspec.rst b/doc/help/pypeit_coadd_1dspec.rst index 7cb6e00a1b..70e09065cf 100644 --- a/doc/help/pypeit_coadd_1dspec.rst +++ b/doc/help/pypeit_coadd_1dspec.rst @@ -50,7 +50,7 @@ placed in the same directory as the first spec1d file. - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --show show QA during coadding process diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index f496cbf340..8da86081cf 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: coadd2d_file File to guide 2d coadds - optional arguments: + options: -h, --help show this help message and exit --show Show the reduction steps. Equivalent to the -s option when running pypeit. (default: False) diff --git a/doc/help/pypeit_coadd_datacube.rst b/doc/help/pypeit_coadd_datacube.rst index d985b4adb1..8443926bdf 100644 --- a/doc/help/pypeit_coadd_datacube.rst +++ b/doc/help/pypeit_coadd_datacube.rst @@ -8,7 +8,7 @@ positional arguments: file filename.coadd3d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_collate_1d.rst b/doc/help/pypeit_collate_1d.rst index e33778feff..c8ae8adc92 100644 --- a/doc/help/pypeit_collate_1d.rst +++ b/doc/help/pypeit_collate_1d.rst @@ -42,7 +42,7 @@ ... end - optional arguments: + options: -h, --help show this help message and exit --spec1d_files [SPEC1D_FILES ...] One or more spec1d files to flux/coadd/archive. Can diff --git a/doc/help/pypeit_compare_sky.rst b/doc/help/pypeit_compare_sky.rst index b76f647862..9e2f02f7d1 100644 --- a/doc/help/pypeit_compare_sky.rst +++ b/doc/help/pypeit_compare_sky.rst @@ -12,7 +12,7 @@ file spec1d Spectral file skyfile Archived PypeIt sky file (e.g. paranal_sky.fits) - optional arguments: + options: -h, --help show this help message and exit --exten EXTEN FITS extension (default: None) --optimal Show Optimal? Default is boxcar (default: False) diff --git a/doc/help/pypeit_flux_calib.rst b/doc/help/pypeit_flux_calib.rst index 769f27aae3..2794ddf7f3 100644 --- a/doc/help/pypeit_flux_calib.rst +++ b/doc/help/pypeit_flux_calib.rst @@ -46,7 +46,7 @@ spectrographs: keck_deimos - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --par_outfile Output to save the parameters diff --git a/doc/help/pypeit_flux_setup.rst b/doc/help/pypeit_flux_setup.rst index a0dac7e6fe..83b3fbb379 100644 --- a/doc/help/pypeit_flux_setup.rst +++ b/doc/help/pypeit_flux_setup.rst @@ -8,7 +8,7 @@ positional arguments: sci_path Path for Science folder - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the telluric fitting. The diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index 4f2b5142e8..ad46ccf638 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -13,7 +13,7 @@ arc_file PypeIt Arc file slits_file PypeIt Slits file - optional arguments: + options: -h, --help show this help message and exit --lamps LAMPS Comma separated list of calibration lamps (no spaces) (default: None) diff --git a/doc/help/pypeit_install_extinctfile.rst b/doc/help/pypeit_install_extinctfile.rst index 64090f4d10..6afa788341 100644 --- a/doc/help/pypeit_install_extinctfile.rst +++ b/doc/help/pypeit_install_extinctfile.rst @@ -9,6 +9,6 @@ files Filename(s) of the extinction file(s) to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_linelist.rst b/doc/help/pypeit_install_linelist.rst index af1bbe414c..be23b96a96 100644 --- a/doc/help/pypeit_install_linelist.rst +++ b/doc/help/pypeit_install_linelist.rst @@ -9,6 +9,6 @@ files Filename(s) of the line list files to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_ql_calibs.rst b/doc/help/pypeit_install_ql_calibs.rst index 0299360259..9785d3dcf6 100644 --- a/doc/help/pypeit_install_ql_calibs.rst +++ b/doc/help/pypeit_install_ql_calibs.rst @@ -6,7 +6,7 @@ Script to install PypeIt QL calibration files - optional arguments: + options: -h, --help show this help message and exit --zip ZIP Zip file of the full QL_CALIB directory downloaded from the PypeIt Google Drive (default: None) diff --git a/doc/help/pypeit_install_telluric.rst b/doc/help/pypeit_install_telluric.rst index 8eb93ed9b6..387b524076 100644 --- a/doc/help/pypeit_install_telluric.rst +++ b/doc/help/pypeit_install_telluric.rst @@ -10,7 +10,7 @@ files Filename(s) of the TelFits files to be downloaded from the Cloud and installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of latest version of the telluric grid (default: False) diff --git a/doc/help/pypeit_lowrdx_skyspec.rst b/doc/help/pypeit_lowrdx_skyspec.rst index 86afed5c96..e1579a96fa 100644 --- a/doc/help/pypeit_lowrdx_skyspec.rst +++ b/doc/help/pypeit_lowrdx_skyspec.rst @@ -10,6 +10,6 @@ lowrdx_sky LowRedux Sky Spectrum (IDL save file) new_file PYPIT FITS sky spectrum - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_multislit_flexure.rst b/doc/help/pypeit_multislit_flexure.rst index a12e4d948e..4e748c2d5e 100644 --- a/doc/help/pypeit_multislit_flexure.rst +++ b/doc/help/pypeit_multislit_flexure.rst @@ -19,7 +19,7 @@ outroot Output fileroot for the flexure fits saved as FITS. - optional arguments: + options: -h, --help show this help message and exit --clobber Clobber output files --debug show debug plots? diff --git a/doc/help/pypeit_obslog.rst b/doc/help/pypeit_obslog.rst index 8ca1ccaf68..1f6e2b5290 100644 --- a/doc/help/pypeit_obslog.rst +++ b/doc/help/pypeit_obslog.rst @@ -30,7 +30,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit -r ROOT, --root ROOT Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index 83ad2223d2..f58c4230f4 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -8,6 +8,6 @@ positional arguments: input_file Either a spec2D or Slits filename - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_qa_html.rst b/doc/help/pypeit_qa_html.rst index 3d8212496c..53e02ef3d0 100644 --- a/doc/help/pypeit_qa_html.rst +++ b/doc/help/pypeit_qa_html.rst @@ -9,7 +9,7 @@ pypeit_file PYPIT file type QA Type (MF, exp, all) - optional arguments: + options: -h, --help show this help message and exit --qapath QAPATH Path the QA folder including QA/) (default: QA/) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index 87964f1b02..1bbd6515a8 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -8,8 +8,11 @@ [--setup_calib_dir SETUP_CALIB_DIR] [--clean] [--calibs_only] [--overwrite_calibs] [--slitspatnum SLITSPATNUM] [--maskID MASKID] [--boxcar_radius BOXCAR_RADIUS] - [--det DET [DET ...]] [--no_stack] [--ignore_std] - [--snr_thresh SNR_THRESH] [--coadd] + [--det DET [DET ...]] [--ignore_std] [--snr_thresh SNR_THRESH] + [--skip_display] [--coadd] + [--only_slits ONLY_SLITS [ONLY_SLITS ...]] [--offsets OFFSETS] + [--weights WEIGHTS] [--spec_samp_fact SPEC_SAMP_FACT] + [--spat_samp_fact SPAT_SAMP_FACT] spectrograph Script to produce quick-look PypeIt reductions @@ -35,7 +38,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --raw_files RAW_FILES [RAW_FILES ...] Either a PypeIt-formatted input file with the list of @@ -70,12 +73,13 @@ Directory with/for calibrations specific to your instrument configuration/setup. Use of this option circumvents the automated naming system for the - configuration/setup sub-directories. If None, it is - assumed that no calibrations exist and they must be - created using the provided raw files. The top-level - directory is given by parent_calib_dir (or redux_path) - and the sub-directories follow the normal PypeIt naming - scheme. (default: None) + configuration/setup sub-directories. If None, the code + will try to find relevant calibrations in the + parent_calib_dir. If no calibrations exist in that + directory that match the instrument setup/configuration + of the provided data, the code will construct new + calibrations (assuming relevant raw files are provided). + (default: None) --clean Remove the existing output directories to force a fresh reduction. If False, any existing directory structure will remain, but any existing science files will still @@ -100,7 +104,6 @@ and 5 for Keck/DEIMOS, you would use --det 1 5; to reduce mosaics made up of detectors 1,5 and 3,7, you would use --det 1,5 3,7 (default: None) - --no_stack Do *not* stack multiple science frames (default: True) --ignore_std If standard star observations are automatically detected, ignore those frames. Otherwise, they are included with the reduction of the science frames. @@ -108,5 +111,28 @@ --snr_thresh SNR_THRESH Change the default S/N threshold used during source detection (default: None) + --skip_display Run the quicklook without displaying any results. + (default: True) --coadd Perform default 2D coadding. (default: False) + --only_slits ONLY_SLITS [ONLY_SLITS ...] + If coadding, only coadd this space-separated set of + slits. If not provided, all slits are coadded. (default: + None) + --offsets OFFSETS If coadding, spatial offsets to apply to each image; see + the [coadd2d][offsets] parameter. Options are restricted + here to either maskdef_offsets or auto. If not + specified, the (spectrograph-specific) default is used. + (default: None) + --weights WEIGHTS If coadding, weights used to coadd images; see the + [coadd2d][weights] parameter. Options are restricted + here to either uniform or auto. If not specified, the + (spectrograph-specific) default is used. (default: None) + --spec_samp_fact SPEC_SAMP_FACT + If coadding, adjust the wavelength grid sampling by this + factor. For a finer grid, set value to <1.0; for coarser + sampling, set value to >1.0). (default: 1.0) + --spat_samp_fact SPAT_SAMP_FACT + If coadding, adjust the spatial grid sampling by this + factor. For a finer grid, set value to <1.0; for coarser + sampling, set value to >1.0). (default: 1.0) \ No newline at end of file diff --git a/doc/help/pypeit_ql_multislit.rst b/doc/help/pypeit_ql_multislit.rst index 05c73563ec..ce83350892 100644 --- a/doc/help/pypeit_ql_multislit.rst +++ b/doc/help/pypeit_ql_multislit.rst @@ -34,7 +34,7 @@ full_rawpath Full path to the raw files files list of frames i.e. img1.fits img2.fits - optional arguments: + options: -h, --help show this help message and exit --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or diff --git a/doc/help/pypeit_sensfunc.rst b/doc/help/pypeit_sensfunc.rst index 98969a583e..f7fbd5a38b 100644 --- a/doc/help/pypeit_sensfunc.rst +++ b/doc/help/pypeit_sensfunc.rst @@ -12,7 +12,7 @@ spec1dfile spec1d file for the standard that will be used to compute the sensitivity function - optional arguments: + options: -h, --help show this help message and exit --algorithm {UVIS,IR} Override the default algorithm for computing the diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index bc5388ff0b..9f1f06aa73 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -8,7 +8,7 @@ Parse data files to construct a pypeit file in preparation for reduction using 'run_pypeit' - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_setup_coadd2d.rst b/doc/help/pypeit_setup_coadd2d.rst index 0bde228d82..2bd623cbe0 100644 --- a/doc/help/pypeit_setup_coadd2d.rst +++ b/doc/help/pypeit_setup_coadd2d.rst @@ -4,6 +4,7 @@ usage: pypeit_setup_coadd2d [-h] [--keep_par] [--obj OBJ [OBJ ...]] [--det DET [DET ...]] [--only_slits ONLY_SLITS [ONLY_SLITS ...]] + [--offsets OFFSETS] [--weights WEIGHTS] pypeit_file Prepare a configuration file for performing 2D coadds @@ -11,7 +12,7 @@ positional arguments: pypeit_file PypeIt reduction file - optional arguments: + options: -h, --help show this help message and exit --keep_par Propagate all parameters from the pypeit file to the coadd2d file(s). If not set, only the required @@ -36,4 +37,15 @@ --only_slits ONLY_SLITS [ONLY_SLITS ...] A space-separated set of slits to coadd. If not provided, all slits are coadded. (default: None) + --offsets OFFSETS Spatial offsets to apply to each image; see the + [coadd2d][offsets] parameter. Options are restricted + here to either maskdef_offsets or auto. If not + specified, the (spectrograph-specific) default is used. + Other options exist but must be entered by directly + editing the coadd2d file. (default: None) + --weights WEIGHTS Weights used to coadd images; see the [coadd2d][weights] + parameter. Options are restricted here to either uniform + or auto. If not specified, the (spectrograph-specific) + default is used. Other options exist but must be entered + by directly editing the coadd2d file. (default: None) \ No newline at end of file diff --git a/doc/help/pypeit_show_1dspec.rst b/doc/help/pypeit_show_1dspec.rst index 373447417c..f137590c50 100644 --- a/doc/help/pypeit_show_1dspec.rst +++ b/doc/help/pypeit_show_1dspec.rst @@ -10,7 +10,7 @@ positional arguments: file Spectral file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --exten EXTEN FITS extension (default: 1) diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index d3be9ffd62..9668a761c9 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -4,8 +4,8 @@ usage: pypeit_show_2dspec [-h] [--list] [--det DET] [--spat_id SPAT_ID] [--maskID MASKID] [--showmask] [--removetrace] [--embed] [--ignore_extract_mask] - [--sensfunc SENSFUNC] [--channels CHANNELS] - [--prefix PREFIX] [--no_clear] [-v VERBOSITY] + [--channels CHANNELS] [--prefix PREFIX] [--no_clear] + [-v VERBOSITY] file Display sky subtracted, spec2d image in a ginga viewer. @@ -13,7 +13,7 @@ positional arguments: file Path to a PypeIt spec2d file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --det DET Detector name or number. If a number, the name is @@ -30,8 +30,6 @@ --embed Upon completion embed in ipython shell (default: False) --ignore_extract_mask Ignore the extraction mask (default: False) - --sensfunc SENSFUNC Pass in a sensfunc to display the sky-subtracted image - with a flux calibration (default: None) --channels CHANNELS Only show a subset of the channels (0-indexed), e.g. 1,3 (default: None) --prefix PREFIX Channel name prefix [lets you display more than one set] diff --git a/doc/help/pypeit_show_arxiv.rst b/doc/help/pypeit_show_arxiv.rst index 994672a54c..b8cb130a57 100644 --- a/doc/help/pypeit_show_arxiv.rst +++ b/doc/help/pypeit_show_arxiv.rst @@ -8,7 +8,7 @@ positional arguments: file Arxiv filename, e.g. gemini_gmos_r831_ham.fits - optional arguments: + options: -h, --help show this help message and exit --det DET Detector number (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index 2b83ff5627..43684e9cc2 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -10,7 +10,7 @@ file WaveCalib file slit_order Slit or Order number - optional arguments: + options: -h, --help show this help message and exit --slit_file SLIT_FILE Slit file (default: None) diff --git a/doc/help/pypeit_skysub_regions.rst b/doc/help/pypeit_skysub_regions.rst index cbaa87e822..d5e887fde1 100644 --- a/doc/help/pypeit_skysub_regions.rst +++ b/doc/help/pypeit_skysub_regions.rst @@ -10,7 +10,7 @@ positional arguments: file spec2d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_tellfit.rst b/doc/help/pypeit_tellfit.rst index ca4a4276ab..28ae52089d 100644 --- a/doc/help/pypeit_tellfit.rst +++ b/doc/help/pypeit_tellfit.rst @@ -11,7 +11,7 @@ positional arguments: spec1dfile spec1d file that will be used for telluric correction. - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the fitting. The options diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 9bebeb7c92..8a15d76819 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -8,7 +8,7 @@ Trace slit edges - optional arguments: + options: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_view_fits.rst b/doc/help/pypeit_view_fits.rst index efb4f521d9..406eb833da 100644 --- a/doc/help/pypeit_view_fits.rst +++ b/doc/help/pypeit_view_fits.rst @@ -30,7 +30,7 @@ wht_isis_blue, wht_isis_red file FITS file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --proc Process the image (i.e. orient, overscan subtract, diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index 2ba61a5e56..5cdfda7e56 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -4,7 +4,7 @@ usage: run_pypeit [-h] [-v VERBOSITY] [-r REDUX_PATH] [-m] [-s] [-o] [-c] pypeit_file - ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.2 + ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev337+g096680b06.d20230503 ## ## Available spectrographs include: ## bok_bc, gemini_flamingos1, gemini_flamingos2, gemini_gmos_north_e2v, @@ -25,7 +25,7 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - optional arguments: + options: -h, --help show this help message and exit -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all] diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index e99f9e1b65..132bb3eb1e 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -521,17 +521,17 @@ Coadd2DPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.Coadd2DPar` -==================== ========= ======= ======== ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -==================== ========= ======= ======== ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== -``manual`` str .. .. Manual extraction parameters. det:spat:spec:fwhm:boxcar_radius. Multiple manual extractions are semi-colon separated, and spat,spec are in the pseudo-image generated by COADD2D.boxcar_radius is optional and in pixels (not arcsec!). -``offsets`` list, str .. ``auto`` Offsets for the images being combined (spat pixels). Options are: ``maskdef_offsets``, ``auto``, and a list of offsets. Use ``maskdef_offsets`` to use the offsets computed during the slitmask design matching (currently available for DEIMOS and MOSFIRE only). If ``auto`` is chosen, PypeIt will try to compute the offsets using a reference object with the highest S/N, or an object selected by the user (see ``user_obj``). If a list of offsets is provided, PypeIt will use it. -``only_slits`` int, list .. .. Slit ID, or list of slit IDs that the user want to restrict the coadd to. I.e., only this/these slit/s will be coadded. -``spat_toler`` int .. 5 This parameter provides the desired tolerance in spatial pixel used to identify slits in different exposures -``use_slits4wvgrid`` bool .. False If True, use the slits to set the trace down the center -``user_obj`` int, list .. .. Object that the user wants to use to compute the weights and/or the offsets for coadding images. For slit spectroscopy, provide the ``SLITID`` and the ``OBJID``, separated by comma, of the selected object. For echelle spectroscopy, provide the ``ECH_OBJID`` of the selected object. See :doc:`out_spec1D` for more info about ``SLITID``, ``OBJID`` and ``ECH_OBJID``. If this parameter is not ``None``, it will be used to compute the offsets only if ``offsets = auto``, and it will used to compute the weights only if ``weights = auto``. -``weights`` str, list .. ``auto`` Mode for the weights used to coadd images. Options are: ``auto``, ``uniform``, or a list of weights. If ``auto`` is used, PypeIt will try to compute the weights using a reference object with the highest S/N, or an object selected by the user (see ``user_obj``), if ``uniform`` is used, uniform weights will be applied. If a list of weights is provided, PypeIt will use it. -==================== ========= ======= ======== ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +==================== ========= ======= ======== ======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +==================== ========= ======= ======== ======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== +``manual`` str .. .. Manual extraction parameters. det:spat:spec:fwhm:boxcar_radius. Multiple manual extractions are semi-colon separated, and spat,spec are in the pseudo-image generated by COADD2D.boxcar_radius is optional and in pixels (not arcsec!). +``offsets`` str, list .. ``auto`` Offsets for the images being combined (spat pixels). Options are: ``maskdef_offsets``, ``header``, ``auto``, and a list of offsets. Use ``maskdef_offsets`` to use the offsets computed during the slitmask design matching (currently available for DEIMOS and MOSFIRE only). If equal to ``header``, the dither offsets recorded in the header, when available, will be used. If ``auto`` is chosen, PypeIt will try to compute the offsets using a reference object with the highest S/N, or an object selected by the user (see ``user_obj``). If a list of offsets is provided, PypeIt will use it. +``only_slits`` int, list .. .. Slit ID, or list of slit IDs that the user want to restrict the coadd to. I.e., only this/these slit/s will be coadded. +``spat_toler`` int .. 5 This parameter provides the desired tolerance in spatial pixel used to identify slits in different exposures +``use_slits4wvgrid`` bool .. False If True, use the slits to set the trace down the center +``user_obj`` int, list .. .. Object that the user wants to use to compute the weights and/or the offsets for coadding images. For slit spectroscopy, provide the ``SLITID`` and the ``OBJID``, separated by comma, of the selected object. For echelle spectroscopy, provide the ``ECH_OBJID`` of the selected object. See :doc:`out_spec1D` for more info about ``SLITID``, ``OBJID`` and ``ECH_OBJID``. If this parameter is not ``None``, it will be used to compute the offsets only if ``offsets = auto``, and it will used to compute the weights only if ``weights = auto``. +``weights`` str, list .. ``auto`` Mode for the weights used to coadd images. Options are: ``auto``, ``uniform``, or a list of weights. If ``auto`` is used, PypeIt will try to compute the weights using a reference object with the highest S/N, or an object selected by the user (see ``user_obj``), if ``uniform`` is used, uniform weights will be applied. If a list of weights is provided, PypeIt will use it. +==================== ========= ======= ======== ======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -3378,6 +3378,8 @@ Alterations to the default parameters are: bspline_spacing = 0.8 [[extraction]] boxcar_radius = 0.75 + [coadd2d] + offsets = header [sensfunc] algorithm = IR polyorder = 8 diff --git a/doc/quicklook.rst b/doc/quicklook.rst index 02a7fdbc76..7e95e66e1b 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -145,7 +145,7 @@ with a symlink to the ``Calibrations`` directory. The name of the directory with the reduction for the science frames is based on the name of the frame, ``b27`` in this example. The name of directory with the calibrations is always the combination of the instrument name and setup/configuration identifier (e.g. -``shane_kast_blue_A``), just as produced by :ref:`pyepit_setup`. +``shane_kast_blue_A``), just as produced by :ref:`pypeit_setup`. If multiple science frames are provided, the name of the output directory combines the names of the first and last science frames in the stack. For From 974b8e7ab4147677ad5a341dcb5e1bbc3acff718 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 5 May 2023 10:39:11 -0700 Subject: [PATCH 276/308] ql coadd debugging --- pypeit/coadd2d.py | 8 +++- pypeit/scripts/coadd_2dspec.py | 3 +- pypeit/scripts/ql.py | 86 +++++++++++++++++++++------------- 3 files changed, 61 insertions(+), 36 deletions(-) diff --git a/pypeit/coadd2d.py b/pypeit/coadd2d.py index b4ecd5bbf5..15da1ed341 100644 --- a/pypeit/coadd2d.py +++ b/pypeit/coadd2d.py @@ -17,6 +17,7 @@ from astropy.io import fits from pypeit import msgs +from pypeit import io from pypeit import utils from pypeit import specobjs from pypeit import slittrace @@ -875,9 +876,12 @@ def get_wave_grid(self, **kwargs_wave): indx = 0 for iexp, spec_this in enumerate(self.stack_dict['specobjs_list']): for spec in spec_this: - waves[:self.nspec_array[iexp], indx] = spec.OPT_WAVE + # NOTE: BOX extraction usage needed for quicklook + waves[:self.nspec_array[iexp], indx] \ + = spec.OPT_WAVE if spec.OPT_WAVE is not None else spec.BOX_WAVE # TODO -- OPT_MASK is likely to become a bpm with int values - gpm[:self.nspec_array[iexp], indx] = spec.OPT_MASK + gpm[:self.nspec_array[iexp], indx] \ + = spec.OPT_MASK if spec.OPT_MASK is not None else spec.BOX_MASK indx += 1 wave_grid, wave_grid_mid, dsamp = wvutils.get_wave_grid(waves=waves, masks=gpm, diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 26fe55e5a3..806c787cc1 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -65,7 +65,6 @@ def main(args): from astropy.io import fits from pypeit import msgs - from pypeit import io from pypeit import coadd2d from pypeit import inputfiles from pypeit import specobjs @@ -100,7 +99,7 @@ def main(args): # Get the paths coadd_scidir, qa_path = map(lambda x : Path(x).resolve(), - CoAdd2D.output_paths(spec2d_files, par)) + coadd2d.CoAdd2D.output_paths(spec2d_files, par)) # Get the output basename head2d = fits.getheader(spec2d_files[0]) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index f0c6515b26..5efa44bfca 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -52,14 +52,15 @@ from pypeit import pypeitsetup from pypeit import metadata from pypeit import io +from pypeit import inputfiles from pypeit import pypeit +from pypeit import coadd2d from pypeit.par.pypeitpar import PypeItPar from pypeit.calibframe import CalibFrame from pypeit.core.parse import parse_binning from pypeit.scripts import scriptbase from pypeit.spectrographs import available_spectrographs from pypeit.slittrace import SlitTraceSet -from pypeit import inputfiles from pypeit.scripts.setup_coadd2d import SetupCoAdd2D from pypeit.scripts.coadd_2dspec import CoAdd2DSpec @@ -176,6 +177,7 @@ def quicklook_regroup(fitstbl): def generate_sci_pypeitfile(redux_path:str, ref_calib_dir:Path, ps_sci, + calib_grp:int=None, det:str=None, clean:bool=False, slitspatnum:str=None, @@ -202,6 +204,10 @@ def generate_sci_pypeitfile(redux_path:str, location of the calibrations expected by :class:`~pypeit.PypeIt`. ps_sci (:class:`~pypeit.pypeitsetup.PypeItSetup`): Setup object for the science frame(s) only. + calib_grp (:obj:`int`, optional): + If the reference calibration directory contains results from more + than one calibration group, this *must* be provided, specifying + which calibration group should be used. det (:obj:`str`, optional): Detector/mosaic identifier. If None, all detectors are reduced. clean (:obj:`bool`, optional): @@ -227,7 +233,7 @@ def generate_sci_pypeitfile(redux_path:str, msgs.error(f'Reference calibration directory does not exist: {ref_calib_dir}') # Get the setup and calibration group to use for the science frame(s) - setup, calib = get_setup_calib(ref_calib_dir) + setup, calib = get_setup_calib(ref_calib_dir, calib_grp=calib_grp) # Force them in the fitstbl # TODO: Make this series of operations a function in PypeItMetaData? @@ -526,7 +532,7 @@ def merge_setups(calibrated_setups, calib_match, frame_setup): return new_frame_setup.tolist() -def get_setup_calib(calib_dir): +def get_setup_calib(calib_dir, calib_grp=None): """ Using all of the files found in the provided directory, determine the setup and calibration group to use for the quicklook science frame(s). @@ -534,6 +540,10 @@ def get_setup_calib(calib_dir): Args: calib_dir (:obj:`str`, `Path`_): Directory with the calibration files. + calib_grp (:obj:`int`, optional): + If the calibration directory contains results from more than one + calibration group, this *must* be provided, specifying which + calibration group should be used. Returns: :obj:`tuple`: The setup name and calibration group. @@ -576,11 +586,14 @@ def get_setup_calib(calib_dir): if len(unique_calibs) == 1: # There's only one calibration group, so use it. return setup, unique_calibs[0] - - # TODO: For now, we fault here. For quick-look, this means there should - # only be one calibration group, or all the calibrations are assigned to - # 'all' calibration groups. Otherwise, we could have the user supply the - # calibration group. + if calib_grp is not None: + if str(calib_grp) in unique_calibs: + return setup, str(calib_grp) + msgs.error(f'Selected calibration group {calib_grp} is not available in {_calib_dir}. ' + 'Must select a valid group. Directory currently contains the following ' + f'calibration groups: {unique_calibs}') + + # Cannot determine which calibration group to use. msgs.error(f'Calibrations in {_calib_dir} are part of multiple calibration groups. Unclear ' 'how to proceed.') @@ -633,6 +646,10 @@ def get_parser(cls, width=None): 'in that directory that match the instrument setup/configuration ' 'of the provided data, the code will construct new calibrations ' '(assuming relevant raw files are provided).') + parser.add_argument('--calib_group', type=int, default=None, + help='If the calibration directory contains results from more than ' + 'one calibration group, you *must* specify which one to use. ' + 'The code will fault otherwise.') parser.add_argument('--clean', default=False, action='store_true', help='Remove the existing output directories to force a fresh ' 'reduction. If False, any existing directory structure will ' @@ -645,7 +662,9 @@ def get_parser(cls, width=None): # header (i.e., target in the fitstbl) or from the mask information # TODO: Get rid of "calibs only"? I.e., force user only provide - # calibrations if they only want to process calibrations... + # calibrations if they want to process only calibrations. Maybe the + # point is that latter isn't clear for frames typed as + # `arc,science,tilt`... parser.add_argument('--calibs_only', default=False, action='store_true', help='Reduce only the calibrations?') parser.add_argument('--overwrite_calibs', default=False, action='store_true', @@ -674,7 +693,7 @@ def get_parser(cls, width=None): parser.add_argument('--skip_display', dest='show', default=True, action='store_false', help='Run the quicklook without displaying any results.') - # TODO: Add fluxing option + # TODO: Add fluxing option? # Coadding options parser.add_argument('--coadd', default=False, action='store_true', @@ -797,7 +816,7 @@ def main(args): # Check that all the frames are assigned to the same calibration group # NOTE: This is largely superfluous given the use of get_setup_calib - # in generate_sci_pyepitfile, but it's useful to keep the warning + # in generate_sci_pypeitfile, but it's useful to keep the warning # here. if any(ps_sci.fitstbl['calib'] != ps_sci.fitstbl['calib'][0]): msgs.warn('Automated configuration assigned multiple calibration groups to your ' @@ -891,7 +910,8 @@ def main(args): sci_pypeit_file = generate_sci_pypeitfile( args.redux_path, setup_calib_dir, - ps_sci, + ps_sci, + calib_grp=args.calib_group, det=args.det, clean=args.clean, slitspatnum=args.slitspatnum, @@ -899,15 +919,8 @@ def main(args): boxcar_radius=args.boxcar_radius, snr_thresh=args.snr_thresh) -# from pypeit.inputfiles import PypeItFile -# f = PypeItFile.from_file(sci_pypeit_file) -# embed() -# exit() - # Run it pypeIt = pypeit.PypeIt(sci_pypeit_file, reuse_calibs=True) - embed() - exit() pypeIt.reduce_all() pypeIt.build_qa() @@ -916,18 +929,23 @@ def main(args): if args.coadd: # Run the setup script to get the baseline coadd2d file # TODO: - # - Add sensitivity function + # - Add sensitivity function? # - Allow SetupCoAdd2D to auto-detect dithers based on the pypeit - # file and parse/prepare the coadding offsets accordingly - # - and other options - SetupCoAdd2D.main(SetupCoAdd2D.parse_args([sci_pypeit_file])) + # file and parse/prepare the coadding offsets accordingly. Maybe + # this is effectively already done? + command_line_args = [sci_pypeit_file] + if args.only_slits is not None: + command_line_args += ['--only_slits'] + args.only_slits + if args.offsets is not None: + command_line_args += ['--offsets', args.offsets] + if args.weights is not None: + command_line_args += ['--weights', args.weights] + SetupCoAdd2D.main(SetupCoAdd2D.parse_args(command_line_args)) # Find all the coadd2d scripts # NOTE: This should only find *one* coadd2d file because quick-look # should be limited to performing reduction for one target at a # time. - # TODO: Have SetupCoAdd2D.main return the names of the written - # files? coadd_file = sorted(Path(sci_pypeit_file).resolve().parent.glob('*.coadd2d')) if len(coadd_file) != 1: msgs.error('There should be only one 2D coadd file.') @@ -935,16 +953,14 @@ def main(args): # Run the coadding coadd2dFile = inputfiles.Coadd2DFile.from_file(coadd_file) - if len(coadd2dFile.data) < 2: - msgs.error(f'{coadd_file} only has one spec2d file. Continuing...') - - # TODO: Add options (e.g. spatial/spectral sampling...) - CoAdd2DSpec.main(CoAdd2DSpec.parse_args([coadd_file])) + CoAdd2DSpec.main(CoAdd2DSpec.parse_args([str(coadd_file), + '--spec_samp_fact', str(args.spec_samp_fact), + '--spat_samp_fact', str(args.spat_samp_fact)])) # Get the output file name spectrograph, par, _ = coadd2dFile.get_pypeitpar() spec2d_files = coadd2dFile.filenames - coadd_scidir = Path(CoAdd2D.output_paths(spec2d_files, par)[0]).resolve() + coadd_scidir = Path(coadd2d.CoAdd2D.output_paths(spec2d_files, par)[0]).resolve() basename = coadd2d.CoAdd2D.default_basename(spec2d_files) spec2d_file = str(coadd_scidir / f'spec2d_{basename}.fits') else: @@ -953,9 +969,15 @@ def main(args): spec2d_file = pypeIt.spec_output_file(frame, twod=True) if args.show: - # TODO: Need to parse detector here! + # TODO: Need to parse detector here? Show2DSpec.main(Show2DSpec.parse_args([spec2d_file])) + # TODO: + # - Print a statement that allows users to copy-paste the correct + # pypeit_show_1dspec call? + # - Provide a summary of the objects (that's not buried in previous + # screen output)? + exec_s = np.around(time.perf_counter()-tstart, decimals=1) msgs.info(f'Quicklook execution time: {datetime.timedelta(seconds=exec_s)}') From 3aa62d7a30efb82d2b4db46980bf5e59d64251d6 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Mon, 8 May 2023 11:37:44 -0700 Subject: [PATCH 277/308] ready for testing --- CHANGES.rst | 2 +- doc/help/pypeit_ql.rst | 19 ++++++++++------ doc/quicklook.rst | 50 +++++++++++++++++++++++------------------- pypeit/pypeitsetup.py | 21 ++++++++++++------ pypeit/scripts/ql.py | 48 +++++++++++++++++++++++++++++----------- 5 files changed, 89 insertions(+), 51 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 7d440c87b5..96370f2dca 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -27,7 +27,7 @@ - The ``'calib'`` column is now always added to the pypeit file, regardless of whether or not you also request the ``'comb_id'`` and ``'bkg_id'`` columns. - Names of associated calibration frames now written to ``spec2d`` file headers. -- Major quicklook updates. ql_multislit.py temporarily deprecated. +- Major quicklook updates. ql_multislit.py deprecated. 1.12.2 (29 Mar 2023) -------------------- diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index 1bbd6515a8..eec300bcf7 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -5,13 +5,14 @@ [--raw_path RAW_PATH] [--ext EXT] [--sci_files SCI_FILES [SCI_FILES ...]] [--redux_path REDUX_PATH] [--parent_calib_dir PARENT_CALIB_DIR] - [--setup_calib_dir SETUP_CALIB_DIR] [--clean] [--calibs_only] - [--overwrite_calibs] [--slitspatnum SLITSPATNUM] - [--maskID MASKID] [--boxcar_radius BOXCAR_RADIUS] - [--det DET [DET ...]] [--ignore_std] [--snr_thresh SNR_THRESH] - [--skip_display] [--coadd] - [--only_slits ONLY_SLITS [ONLY_SLITS ...]] [--offsets OFFSETS] - [--weights WEIGHTS] [--spec_samp_fact SPEC_SAMP_FACT] + [--setup_calib_dir SETUP_CALIB_DIR] [--calib_group CALIB_GROUP] + [--clean] [--calibs_only] [--overwrite_calibs] + [--slitspatnum SLITSPATNUM] [--maskID MASKID] + [--boxcar_radius BOXCAR_RADIUS] [--det DET [DET ...]] + [--ignore_std] [--snr_thresh SNR_THRESH] [--skip_display] + [--coadd] [--only_slits ONLY_SLITS [ONLY_SLITS ...]] + [--offsets OFFSETS] [--weights WEIGHTS] + [--spec_samp_fact SPEC_SAMP_FACT] [--spat_samp_fact SPAT_SAMP_FACT] spectrograph @@ -80,6 +81,10 @@ of the provided data, the code will construct new calibrations (assuming relevant raw files are provided). (default: None) + --calib_group CALIB_GROUP + If the calibration directory contains results from more + than one calibration group, you *must* specify which one + to use. The code will fault otherwise. (default: None) --clean Remove the existing output directories to force a fresh reduction. If False, any existing directory structure will remain, but any existing science files will still diff --git a/doc/quicklook.rst b/doc/quicklook.rst index 7e95e66e1b..06a1f0644a 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -25,20 +25,20 @@ The primary way this is currently achieved is by: reducing data in those cases. Particularly because of the latter, the quick-look script follows a specific -directory structure and makes assumptions about which calibrations can be used -that are more lenient than recommended for a robust reduction. +:ref:`quicklook_directory_structure` and makes assumptions about which +calibrations can be used that are more lenient than recommended for a robust +reduction. Importantly, ``pypeit_ql`` can only be used to reduce data *for a single science -target.* All the science frames provided will be combined. Standard star frames -can be included and, as long as they are automatically identified as standards, -they will be reduced separately from the science target. For instruments with -dither patterns that PypeIt can parse, image combination groups will be grouped -by dither offset position. +target in a single instrument configuration.* All the science frames provided +will be combined. Standard star frames can be included and, as long as they are +automatically identified as standards, they will be reduced separately from the +science target. For instruments with dither patterns that PypeIt can parse, +images will be grouped by dither offset position. These dithers can then be +optionally combined using PypeIt's :ref:`2D coadding script `. -Here, we describe the algorithm and provide specific usage tutorials. - -The script usage can be displayed by calling the script with the -``-h`` option: +Here, we describe the algorithm and provide specific usage tutorials. The +script usage can be displayed by calling the script with the ``-h`` option: .. include:: help/pypeit_ql.rst @@ -70,15 +70,15 @@ Specifying the input raw files The script provides a few ways that you can specify the files to reduce: -#. Provide a file with a specific :ref:`format ` that lists the - files to be reduced. The format must follow the standard PypeIt file - :ref:`input-files-data-block`; however, only the ``filename`` column is - required. + #. Provide a file with a specific :ref:`format ` that lists the + files to be reduced. The format must follow the standard PypeIt file + :ref:`input-files-data-block`; however, only the ``filename`` column is + required/used. -#. Provide the directory and list of files directly on the command line. + #. Provide the directory and list of files directly on the command line. -#. Provide the directory and the file extension, which will be used to search - for and reduce all files found. + #. Provide the directory and the file extension, which will be used to search + for and reduce all files found. An example file named ``input.rawfiles`` used in the first approach could look like this: @@ -123,13 +123,15 @@ in the above example like so: pypeit_ql shane_kast_blue --raw_files b1.fits.gz b10.fits.gz b27.fits.gz --raw_path /path/to/files --sci_files b27.fits.gz +.. _quicklook_directory_structure: + Directory Structure +++++++++++++++++++ As with typical executions of :ref:`run-pypeit`, ``pypeit_ql`` yields directories with calibrations, quality-assessment plots, and science products. The difference is that ``pypeit_ql`` keeps the calibrations and science products -more separate. +separate. For example, executing: @@ -140,12 +142,14 @@ For example, executing: will yield two directories where you executed the call: ``b27/`` and ``shane_kast_blue_A/``. Both directories will look very similar to a normal execution of :ref:`run-pypeit` (see :ref:`outputs-dir`), except the latter will -*only* contain calibrations and the former will only contain the science results -with a symlink to the ``Calibrations`` directory. The name of the directory +*only* contain calibrations (and related QA plots) and the former will *only* +contain the science results (and related QA plots). The name of the directory with the reduction for the science frames is based on the name of the frame, ``b27`` in this example. The name of directory with the calibrations is always the combination of the instrument name and setup/configuration identifier (e.g. -``shane_kast_blue_A``), just as produced by :ref:`pypeit_setup`. +``shane_kast_blue_A``), just as produced by :ref:`pypeit_setup`. A symlink to +the ``shane_kast_blue_A/Calibrations/`` directory is included in ``b27/`` such +that the directory mimics the normal output from :ref:`run-pypeit`. If multiple science frames are provided, the name of the output directory combines the names of the first and last science frames in the stack. For @@ -262,7 +266,7 @@ The quick-look script proceeds as follows: - Any new calibrations are processed using the pypeit file written to the new calibrations directory (e.g., ``shane_kast_blue_B``). *Do not delete these pypeit files!* They are what's used to match the instrument - setup/configuration to new frames to be processed. Note that adjustements can + setup/configuration to new frames to be processed. Note that adjustments can be made directly to that file and the calibrations can be re-processed using a normal execution of :ref:`run-pypeit`. diff --git a/pypeit/pypeitsetup.py b/pypeit/pypeitsetup.py index 3e81a73bf1..5aa7d2004a 100644 --- a/pypeit/pypeitsetup.py +++ b/pypeit/pypeitsetup.py @@ -33,10 +33,11 @@ class PypeItSetup: A list of strings with the full path to each file to be reduced. frametype (:obj:`dict`, optional): - A dictionary that associates the name of the file (just the - fits file name without the full path) to a specific frame - type (e.g., arc, bias, etc.). If None, this is determined - by the :func:`get_frame_types` method. + A dictionary that associates the name of the file (just the fits + file name without the full path) to a specific frame type (e.g., + arc, bias, etc.). The file name and type are expected to be the key + and value of the dictionary, respectively. If None, this is + determined by the :func:`get_frame_types` method. usrdata (:obj:`astropy.table.Table`, optional): A user provided set of data used to supplement or overwrite metadata read from the file headers. The table must have a @@ -188,7 +189,7 @@ def from_file_root(cls, root, spectrograph, extension='.fits'): return cls.from_rawfiles(io.files_from_extension(root, extension=extension), spectrograph) @classmethod - def from_rawfiles(cls, data_files:list, spectrograph:str): + def from_rawfiles(cls, data_files:list, spectrograph:str, frametype=None): """ Instantiate the :class:`PypeItSetup` object by providing a list of raw files. Args: @@ -196,6 +197,12 @@ def from_rawfiles(cls, data_files:list, spectrograph:str): List of raw files to be reduced. spectrograph (str): The PypeIt name of the spectrograph used + frametype (:obj:`dict`, optional): + A dictionary that associates the name of the file (just the fits + file name without the full path) to a specific frame type (e.g., + arc, bias, etc.). The file name and type are expected to be the + key and value of the dictionary, respectively. If None, this is + determined by the :func:`get_frame_types` method. Returns: :class:`PypeItSetup`: The instance of the class. @@ -206,7 +213,7 @@ def from_rawfiles(cls, data_files:list, spectrograph:str): cfg_lines += [' spectrograph = {0}'.format(spectrograph)] # Instantiate - return cls(data_files, cfg_lines=cfg_lines) + return cls(data_files, cfg_lines=cfg_lines, frametype=frametype) @property def nfiles(self): @@ -375,7 +382,7 @@ def remove_table_rows(self, rows, regroup=False): # Remove the files from the frametype if self.frametype is not None: self.frametype = {k : v for k,v in self.frametype.items() - if Path(f).resolve().name in self.fitstbl['filename']} + if Path(k).resolve().name in self.fitstbl['filename']} # Remove the files from the user data if self.usrdata is not None: keep = [i for i in range(len(self.usrdata)) diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index 5efa44bfca..a49886a967 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -404,7 +404,7 @@ def calib_manifest(calib_dir, spectrograph): # Check the calibration directory exists _calib_dir = Path(calib_dir).resolve() if not _calib_dir.exists(): - msgs.error(f'Calibration directory does not exist: {_calib_dir}') + return None # Find the pypeit files pypeit_files = sorted(_calib_dir.glob('{0}_*/{0}*.pypeit'.format(spectrograph))) @@ -457,10 +457,14 @@ def match_to_calibs(ps:pypeitsetup.PypeItSetup, calib_dir:str, calibrated_setups If a setup in ``ps`` is not matched, the associated dictionary item is None. """ + matched_configs = {} if calibrated_setups is None: + # Try to build the calibration manifest calibrated_setups = calib_manifest(calib_dir, ps.spectrograph.name) + if calibrated_setups is None: + # If it still doesn't exist, return empty dictionary + return matched_configs - matched_configs = {} for setup, config in ps.fitstbl.configs.items(): if calibrated_setups is None: matched_configs[setup] = None @@ -746,20 +750,26 @@ def main(args): ps = pypeitsetup.PypeItSetup.from_rawfiles(files, args.spectrograph) ps.run(setup_only=True) - # Check for any untyped files - unknown_types = [t is None for t in ps.fitstbl['frametype']] - if any(unknown_types): - # TODO: Remove them and keep going or fault? - # TODO: Check these against ones that have been specified as science using 'sci_files' - msgs.error('Could not determine frame types for the following files: ' + - ', '.join(ps.fitstbl['frametype'][unknown_types])) - # Find the raw science files sci_idx = ps.fitstbl.find_frames('science') if args.sci_files is None \ else np.in1d(ps.fitstbl['filename'].data, args.sci_files) + # TODO: Allow for standard files to be identified? + + # Check for any untyped files (that have not been typed) as science + # files. NOTE: This works regardless of whether or not sci_files has + # been defined. + unknown_types = [t is None for t in ps.fitstbl['frametype']] + if any(unknown_types & np.logical_not(sci_idx)): + # TODO: Remove them and keep going instead? + msgs.error('Could not determine frame types for the following files: ' + + ', '.join(ps.fitstbl['filename'][unknown_types & np.logical_not(sci_idx)])) + + # Include any standards? + # TODO: Standards are only reduced if there are also science frames? if any(sci_idx) and not args.ignore_std: - # Include standards - sci_idx |= ps.fitstbl.find_frames('standard') + std_idx = ps.fitstbl.find_frames('standard') + else: + std_idx = np.zeros(sci_idx.size, dtype=bool) # Set the directory with the calibrations setup_calib_dir = None if args.setup_calib_dir is None \ @@ -770,13 +780,22 @@ def main(args): if any(sci_idx): # Generate science setup object sci_files = ps.fitstbl.frame_paths(sci_idx) - ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name) + frametype = {Path(f).name : 'science' for f in sci_files} + if any(std_idx): + std_files = ps.fitstbl.frame_paths(std_idx) + frametype = {**frametype, **{Path(f).name : 'standard' for f in std_files}} + sci_files += std_files + ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name, + frametype=frametype) # NOTE: By default, groupings=True in PypeItSetup.run, meaning that # the combination groups should be automatically set. Setting the # combination groups is needed when standards are included and to # automatically identify dithered observations for some # spectrographs. ps_sci.run(setup_only=True) +# if +# # TODO: Ensure that the file types are correct +# ps_sci.fitstbl['frametype'] = # Limit to a single setup if len(ps_sci.fitstbl.configs.keys()) > 1: @@ -832,6 +851,8 @@ def main(args): # to try to build the calibrations? msgs.error('No calibrations exist or could not find appropriate setup match ' f'in provided parent directory: {args.parent_calib_dir}') + # NOTE: Code above check that there is only one setup in ps_sci + setup_calib_dir = setup_calib_dir[ps_sci.fitstbl['setup'][0]]['calib_dir'] msgs.info(f'Attempting to use archived calibrations found in {setup_calib_dir}.') elif not args.calibs_only: @@ -848,6 +869,7 @@ def main(args): # Set the parent directory parent_calib_dir = args.redux_path if args.parent_calib_dir is None \ else args.parent_calib_dir + # Find all of the existing calibrations for this setup in the parent # directory calibrated_setups = calib_manifest(parent_calib_dir, ps.spectrograph.name) From 81cd2bfd2551016d6213c88249036421bb73894f Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 8 May 2023 21:53:46 -0700 Subject: [PATCH 278/308] Doc and docstring updates to make sphinx happy Don't be freightened by the number of files touched... all of the spectrograph modules have docstring-only updates (except LDT/DeVeny, which is the focus of this PR). --- doc/api/pypeit.scripts.chk_tilts.rst | 8 ++ doc/api/pypeit.scripts.rst | 1 + doc/help/pypeit_identify.rst | 6 +- doc/help/pypeit_ql.rst | 19 ++- doc/help/pypeit_setup.rst | 5 +- doc/include/class_datamodel_wavetilts.rst | 31 +++-- doc/include/datamodel_wavetilts.rst | 2 +- doc/include/spectrographs_table.rst | 2 +- doc/pypeit_par.rst | 28 +++- pypeit/spectrographs/bok_bc.py | 8 +- pypeit/spectrographs/gemini_gmos.py | 8 +- pypeit/spectrographs/gemini_gnirs.py | 8 +- pypeit/spectrographs/gtc_osiris.py | 18 +-- pypeit/spectrographs/keck_deimos.py | 8 +- pypeit/spectrographs/keck_hires.py | 8 +- pypeit/spectrographs/keck_kcwi.py | 8 +- pypeit/spectrographs/keck_lris.py | 16 +-- pypeit/spectrographs/keck_mosfire.py | 48 +++---- pypeit/spectrographs/keck_nires.py | 8 +- pypeit/spectrographs/keck_nirspec.py | 8 +- pypeit/spectrographs/lbt_luci.py | 8 +- pypeit/spectrographs/lbt_mods.py | 8 +- pypeit/spectrographs/ldt_deveny.py | 162 ++++++++++++---------- pypeit/spectrographs/mdm_osmos.py | 8 +- pypeit/spectrographs/mmt_binospec.py | 8 +- pypeit/spectrographs/mmt_bluechannel.py | 8 +- pypeit/spectrographs/mmt_mmirs.py | 8 +- pypeit/spectrographs/not_alfosc.py | 8 +- pypeit/spectrographs/ntt_efosc2.py | 8 +- pypeit/spectrographs/p200_dbsp.py | 8 +- pypeit/spectrographs/p200_tspec.py | 8 +- pypeit/spectrographs/shane_kast.py | 64 ++++----- pypeit/spectrographs/soar_goodman.py | 8 +- pypeit/spectrographs/spectrograph.py | 48 +++---- pypeit/spectrographs/tng_dolores.py | 8 +- pypeit/spectrographs/vlt_fors.py | 8 +- pypeit/spectrographs/vlt_sinfoni.py | 8 +- pypeit/spectrographs/vlt_xshooter.py | 8 +- pypeit/spectrographs/wht_isis.py | 8 +- 39 files changed, 349 insertions(+), 301 deletions(-) create mode 100644 doc/api/pypeit.scripts.chk_tilts.rst diff --git a/doc/api/pypeit.scripts.chk_tilts.rst b/doc/api/pypeit.scripts.chk_tilts.rst new file mode 100644 index 0000000000..8e5ad4d8b3 --- /dev/null +++ b/doc/api/pypeit.scripts.chk_tilts.rst @@ -0,0 +1,8 @@ +pypeit.scripts.chk\_tilts module +================================ + +.. automodule:: pypeit.scripts.chk_tilts + :members: + :private-members: + :undoc-members: + :show-inheritance: diff --git a/doc/api/pypeit.scripts.rst b/doc/api/pypeit.scripts.rst index 37753e573d..f6765004a8 100644 --- a/doc/api/pypeit.scripts.rst +++ b/doc/api/pypeit.scripts.rst @@ -14,6 +14,7 @@ Submodules pypeit.scripts.chk_for_calibs pypeit.scripts.chk_noise_1dspec pypeit.scripts.chk_noise_2dspec + pypeit.scripts.chk_tilts pypeit.scripts.chk_wavecalib pypeit.scripts.coadd_1dspec pypeit.scripts.coadd_2dspec diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index ad46ccf638..b209265a07 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -3,8 +3,8 @@ $ pypeit_identify -h usage: pypeit_identify [-h] [--lamps LAMPS] [-s] [--wmin WMIN] [--wmax WMAX] [--slit SLIT] [--det DET] [--rmstol RMSTOL] [--fwhm FWHM] - [--sigdetect SIGDETECT] [--pixtol PIXTOL] [--test] - [--linear] [--force_save] [--rescale_resid] + [--sigdetect SIGDETECT] [--pixtol PIXTOL] [--linear] + [--force_save] [--rescale_resid] arc_file slits_file Launch PypeIt identify tool, display extracted Arc, and load linelist. @@ -29,8 +29,6 @@ --sigdetect SIGDETECT sigma detection for line finding (default: None) --pixtol PIXTOL Pixel tolerance for Auto IDs (default: 0.1) - --test Testing functionality, do not show plots (default: - False) --linear Show the spectrum in linear (rather than log) scale (default: False) --force_save Save the solutions, despite the RMS (default: False) diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index 1bbd6515a8..eec300bcf7 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -5,13 +5,14 @@ [--raw_path RAW_PATH] [--ext EXT] [--sci_files SCI_FILES [SCI_FILES ...]] [--redux_path REDUX_PATH] [--parent_calib_dir PARENT_CALIB_DIR] - [--setup_calib_dir SETUP_CALIB_DIR] [--clean] [--calibs_only] - [--overwrite_calibs] [--slitspatnum SLITSPATNUM] - [--maskID MASKID] [--boxcar_radius BOXCAR_RADIUS] - [--det DET [DET ...]] [--ignore_std] [--snr_thresh SNR_THRESH] - [--skip_display] [--coadd] - [--only_slits ONLY_SLITS [ONLY_SLITS ...]] [--offsets OFFSETS] - [--weights WEIGHTS] [--spec_samp_fact SPEC_SAMP_FACT] + [--setup_calib_dir SETUP_CALIB_DIR] [--calib_group CALIB_GROUP] + [--clean] [--calibs_only] [--overwrite_calibs] + [--slitspatnum SLITSPATNUM] [--maskID MASKID] + [--boxcar_radius BOXCAR_RADIUS] [--det DET [DET ...]] + [--ignore_std] [--snr_thresh SNR_THRESH] [--skip_display] + [--coadd] [--only_slits ONLY_SLITS [ONLY_SLITS ...]] + [--offsets OFFSETS] [--weights WEIGHTS] + [--spec_samp_fact SPEC_SAMP_FACT] [--spat_samp_fact SPAT_SAMP_FACT] spectrograph @@ -80,6 +81,10 @@ of the provided data, the code will construct new calibrations (assuming relevant raw files are provided). (default: None) + --calib_group CALIB_GROUP + If the calibration directory contains results from more + than one calibration group, you *must* specify which one + to use. The code will fault otherwise. (default: None) --clean Remove the existing output directories to force a fresh reduction. If False, any existing directory structure will remain, but any existing science files will still diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index 9f1f06aa73..caac3f8be4 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -1,7 +1,7 @@ .. code-block:: console $ pypeit_setup -h - usage: pypeit_setup [-h] [-s SPECTROGRAPH] [-r ROOT] [-e EXTENSION] + usage: pypeit_setup [-h] [-s SPECTROGRAPH] [-r [ROOT ...]] [-e EXTENSION] [-d OUTPUT_PATH] [-o] [-c CFG_SPLIT] [-b] [-m] [-v VERBOSITY] [-k] @@ -30,7 +30,8 @@ soar_goodman_red, tng_dolores, vlt_fors2, vlt_sinfoni, vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red (default: None) - -r ROOT, --root ROOT Root to search for data files. You can provide the top- + -r [ROOT ...], --root [ROOT ...] + Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string up through the wildcard (.e.g, /data/Kast/b). Use the --extension option to set the types of files to search diff --git a/doc/include/class_datamodel_wavetilts.rst b/doc/include/class_datamodel_wavetilts.rst index 7ee9c89643..aa5f30354d 100644 --- a/doc/include/class_datamodel_wavetilts.rst +++ b/doc/include/class_datamodel_wavetilts.rst @@ -1,16 +1,19 @@ -**Version**: 1.1.0 +**Version**: 1.2.0 -================ ================ ================= ==================================================================================== -Attribute Type Array Type Description -================ ================ ================= ==================================================================================== -``PYP_SPEC`` str PypeIt spectrograph name -``bpmtilts`` `numpy.ndarray`_ `numpy.integer`_ Bad pixel mask for tilt solutions. Keys are taken from SlitTraceSetBitmask -``coeffs`` `numpy.ndarray`_ `numpy.floating`_ 2D coefficents for the fit on the initial slits. One set per slit/order (3D array). -``func2d`` str Function used for the 2D fit -``nslit`` int Total number of slits. This can include masked slits -``spat_flexure`` float Flexure shift from the input TiltImage -``spat_id`` `numpy.ndarray`_ `numpy.integer`_ Slit spat_id -``spat_order`` `numpy.ndarray`_ `numpy.integer`_ Order for spatial fit (nslit) -``spec_order`` `numpy.ndarray`_ `numpy.integer`_ Order for spectral fit (nslit) -================ ================ ================= ==================================================================================== +==================== ============================ ================= ============================================================================================================================== +Attribute Type Array Type Description +==================== ============================ ================= ============================================================================================================================== +``PYP_SPEC`` str PypeIt spectrograph name +``bpmtilts`` `numpy.ndarray`_ `numpy.integer`_ Bad pixel mask for tilt solutions. Keys are taken from SlitTraceSetBitmask +``coeffs`` `numpy.ndarray`_ `numpy.floating`_ 2D coefficents for the fit on the initial slits. One set per slit/order (3D array). +``func2d`` str Function used for the 2D fit +``nslit`` int Total number of slits. This can include masked slits +``slits_filename`` str Path to SlitTraceSet file. This helps to find the Slits calibration file when running pypeit_chk_tilts() +``spat_flexure`` float Flexure shift from the input TiltImage +``spat_id`` `numpy.ndarray`_ `numpy.integer`_ Slit spat_id +``spat_order`` `numpy.ndarray`_ `numpy.integer`_ Order for spatial fit (nslit) +``spec_order`` `numpy.ndarray`_ `numpy.integer`_ Order for spectral fit (nslit) +``tilt_traces`` `astropy.table.table.Table`_ Table with the positions of the traced and fitted tilts for all the slits. see :func:`make_tbl_tilt_traces` for more details. +``tiltimg_filename`` str Path to Tiltimg file. This helps to find Tiltimg file when running pypeit_chk_tilts() +==================== ============================ ================= ============================================================================================================================== diff --git a/doc/include/datamodel_wavetilts.rst b/doc/include/datamodel_wavetilts.rst index 3d74b4d8a4..6e9f122e53 100644 --- a/doc/include/datamodel_wavetilts.rst +++ b/doc/include/datamodel_wavetilts.rst @@ -1,5 +1,5 @@ -Version 1.1.0 +Version 1.2.0 =========== ============================== ========= ===================================================== HDU Name HDU Type Data Type Description diff --git a/doc/include/spectrographs_table.rst b/doc/include/spectrographs_table.rst index 2641c6e2ec..f1b86b6607 100644 --- a/doc/include/spectrographs_table.rst +++ b/doc/include/spectrographs_table.rst @@ -31,7 +31,7 @@ lbt_mods1b :class:`~pypeit.spectrographs.lbt_mods.LBTMODS1BSpectr lbt_mods1r :class:`~pypeit.spectrographs.lbt_mods.LBTMODS1RSpectrograph` LBT MODS1R `Link `__ MultiSlit True False MODS-I red spectrometer lbt_mods2b :class:`~pypeit.spectrographs.lbt_mods.LBTMODS2BSpectrograph` LBT MODS2B `Link `__ MultiSlit True False MODS-II blue spectrometer lbt_mods2r :class:`~pypeit.spectrographs.lbt_mods.LBTMODS2RSpectrograph` LBT MODS2R `Link `__ MultiSlit True False MODS-II red spectrometer -ldt_deveny :class:`~pypeit.spectrographs.ldt_deveny.LDTDeVenySpectrograph` LDT DeVeny `Link `__ MultiSlit True False LDT DeVeny Optical Spectrograph +ldt_deveny :class:`~pypeit.spectrographs.ldt_deveny.LDTDeVenySpectrograph` LDT DeVeny `Link `__ MultiSlit True False LDT DeVeny Optical Spectrograph, 2015 - present magellan_fire :class:`~pypeit.spectrographs.magellan_fire.MagellanFIREEchelleSpectrograph` MAGELLAN FIRE `Link `__ Echelle True False Magellan/FIRE in echelle mode magellan_fire_long :class:`~pypeit.spectrographs.magellan_fire.MagellanFIRELONGSpectrograph` MAGELLAN FIRE `Link `__ MultiSlit True False Magellan/FIRE in long-slit/high-throughput mode magellan_mage :class:`~pypeit.spectrographs.magellan_mage.MagellanMAGESpectrograph` MAGELLAN MagE `Link `__ Echelle True False See :doc:`mage` diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 132bb3eb1e..e7925270a0 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -574,7 +574,7 @@ Key Type Options =================== ========== ======================================================== ==================== ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== ``excessive_shift`` str ``crash``, ``set_to_zero``, ``continue``, ``use_median`` ``use_median`` Behavior when the measured spectral flexure shift is larger than ``spec_maxshift``. The options are: 'crash' - Raise an error and halt the data reduction; 'set_to_zero' - Set the flexure shift to zero and continue with the reduction; 'continue' - Use the large flexure value whilst issuing a warning; and 'use_median' - Use the median flexure shift among all the objects in the same slit (if more than one object is detected) or among all the other slits; if not available, the flexure correction will not be applied. ``multi_min_SN`` int, float .. 1 Minimum S/N for analyzing sky spectrum for flexure -``spec_maxshift`` int, float .. 20 Maximum allowed spectral flexure shift in pixels. +``spec_maxshift`` int .. 20 Maximum allowed spectral flexure shift in pixels. ``spec_method`` str ``boxcar``, ``slitcen``, ``skip`` ``skip`` Method used to correct for flexure. Use skip for no correction. If slitcen is used, the flexure correction is performed before the extraction of objects (not recommended). Options are: None, boxcar, slitcen, skip ``spectrum`` str .. ``paranal_sky.fits`` Archive sky spectrum to be used for the flexure correction. =================== ========== ======================================================== ==================== ====================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== @@ -701,7 +701,7 @@ Key Type Options Default Description ``skip_extraction`` bool .. False Do not perform an object extraction ``skip_optimal`` bool .. False Perform boxcar extraction only (i.e. skip Optimal and local skysub) ``sn_gauss`` int, float .. 4.0 S/N threshold for performing the more sophisticated optimal extraction which performs a b-spline fit to the object profile. For S/N < sn_gauss the code will simply optimal extractwith a Gaussian with FWHM determined from the object finding. -``std_prof_nsigma`` float .. 30.0 prof_nsigma parameter for Standard star extraction. Prevents undesired rejection. +``std_prof_nsigma`` float .. 30.0 prof_nsigma parameter for Standard star extraction. Prevents undesired rejection. NOTE: Not consumed by the code at present. ``use_2dmodel_mask`` bool .. True Mask pixels rejected during profile fitting when extracting.Turning this off may help with bright emission lines. ``use_user_fwhm`` bool .. False Boolean indicating if PypeIt should use the FWHM provided by the user (``find_fwhm`` in `FindObjPar`) for the optimal extraction. If this parameter is ``False`` (default), PypeIt estimates the FWHM for each detected object, and uses ``find_fwhm`` as initial guess. ==================== ========== ======= ======= ============================================================================================================================================================================================================================================================================================= @@ -1906,7 +1906,7 @@ Alterations to the default parameters are: [[extraction]] skip_extraction = True [flexure] - spec_maxshift = 2.5 + spec_maxshift = 3 [sensfunc] [[UVIS]] extinct_correct = False @@ -4138,11 +4138,13 @@ Alterations to the default parameters are: clip = False use_pixelflat = False use_illumflat = False + subtract_continuum = True [[tiltframe]] [[[process]]] clip = False use_pixelflat = False use_illumflat = False + subtract_continuum = True [[pixelflatframe]] [[[process]]] satpix = nothing @@ -4180,6 +4182,10 @@ Alterations to the default parameters are: mask_cr = True noise_floor = 0.01 use_illumflat = False + [[flatfield]] + spec_samp_fine = 30 + pixelflat_min_wave = 3000.0 + slit_illum_finecorr = False [[wavelengths]] method = full_template lamps = use_header @@ -4203,11 +4209,23 @@ Alterations to the default parameters are: use_illumflat = False [reduce] [[findobj]] - snr_thresh = 5.0 + trace_npoly = 3 + snr_thresh = 50.0 + maxnumber_sci = 5 + maxnumber_std = 1 + find_fwhm = 3.5 + [[skysub]] + sky_sigrej = 4.0 + [[extraction]] + boxcar_radius = 1.8 + use_2dmodel_mask = False [flexure] spec_method = boxcar + spec_maxshift = 30 [sensfunc] - polyorder = 7 + [[UVIS]] + polycorrect = False + nresln = 15 .. _instr_par-magellan_fire: diff --git a/pypeit/spectrographs/bok_bc.py b/pypeit/spectrographs/bok_bc.py index 929eb7c4e4..bf1a752679 100644 --- a/pypeit/spectrographs/bok_bc.py +++ b/pypeit/spectrographs/bok_bc.py @@ -115,12 +115,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/gemini_gmos.py b/pypeit/spectrographs/gemini_gmos.py index 4da511bbc3..6c2189863a 100644 --- a/pypeit/spectrographs/gemini_gmos.py +++ b/pypeit/spectrographs/gemini_gmos.py @@ -176,12 +176,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/gemini_gnirs.py b/pypeit/spectrographs/gemini_gnirs.py index aab03b0a5e..4b0134177a 100644 --- a/pypeit/spectrographs/gemini_gnirs.py +++ b/pypeit/spectrographs/gemini_gnirs.py @@ -280,12 +280,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/gtc_osiris.py b/pypeit/spectrographs/gtc_osiris.py index 99c1dcc54f..27d52fa48d 100644 --- a/pypeit/spectrographs/gtc_osiris.py +++ b/pypeit/spectrographs/gtc_osiris.py @@ -224,12 +224,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -474,7 +474,7 @@ def default_pypeit_par(cls): # Don't correct flexure by default, but you should use slitcen, # because this is a slit-based IFU where no objects are extracted. par['flexure']['spec_method'] = 'skip' - par['flexure']['spec_maxshift'] = 2.5 # Just in case someone switches on spectral flexure, this needs to be minimal + par['flexure']['spec_maxshift'] = 3 # Just in case someone switches on spectral flexure, this needs to be minimal # Flux calibration parameters par['sensfunc']['UVIS']['extinct_correct'] = False # This must be False - the extinction correction is performed when making the datacube @@ -806,12 +806,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 883d657d1f..572399a86a 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -519,12 +519,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/keck_hires.py b/pypeit/spectrographs/keck_hires.py index 0cb407e25b..e9fb9473cc 100644 --- a/pypeit/spectrographs/keck_hires.py +++ b/pypeit/spectrographs/keck_hires.py @@ -230,12 +230,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index acac9f359f..75bd8debb6 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -295,12 +295,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index d83376b0cd..1acd0ebf50 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -819,12 +819,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -1277,12 +1277,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index fd5104b02e..e31944f206 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -394,12 +394,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -767,29 +767,29 @@ def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table, Parameters ---------- - wave_in: (float np.ndarray) shape = (nspec,) - Input standard star wavelenghts - counts_in: (float np.ndarray) shape = (nspec,) - Input standard star counts - counts_ivar_in: (float np.ndarray) shape = (nspec,) - Input inverse variance of standard star counts - gpm_in: (bool np.ndarray) shape = (nspec,) - Input good pixel mask for standard - meta_table: (astropy.table) - Table containing meta data that is slupred from the specobjs object. See unpack_object routine in specobjs.py - for the contents of this table. + wave_in: `numpy.ndarray`_ + Input standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_in: `numpy.ndarray`_ + Input standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_in: `numpy.ndarray`_ + Input inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_in: `numpy.ndarray`_ + Input good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) + meta_table: :obj:`dict` + Table containing meta data that is slupred from the :class:`~pypeit.specobjs.SpecObjs` + object. See :meth:`~pypeit.specobjs.SpecObjs.unpack_object` for the + contents of this table. Returns ------- - wave_out: (float np.ndarray) shape = (nspec,) - Output standard star wavelenghts - counts_out: (float np.ndarray) shape = (nspec,) - Output standard star counts - counts_ivar_out: (float np.ndarray) shape = (nspec,) - Output inverse variance of standard star counts - gpm_out: (bool np.ndarray) shape = (nspec,) - Output good pixel mask for standard - + wave_out: `numpy.ndarray`_ + Output standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_out: `numpy.ndarray`_ + Output standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_out: `numpy.ndarray`_ + Output inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_out: `numpy.ndarray`_ + Output good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) """ # Could check the wavelenghts here to do something more robust to header/meta data issues diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index da6c3a57e4..a2f3c144c7 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -219,12 +219,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/keck_nirspec.py b/pypeit/spectrographs/keck_nirspec.py index e9a9b7673f..f78b10b5e8 100644 --- a/pypeit/spectrographs/keck_nirspec.py +++ b/pypeit/spectrographs/keck_nirspec.py @@ -182,12 +182,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/lbt_luci.py b/pypeit/spectrographs/lbt_luci.py index cb45be39de..a8ccf111ac 100644 --- a/pypeit/spectrographs/lbt_luci.py +++ b/pypeit/spectrographs/lbt_luci.py @@ -176,12 +176,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/lbt_mods.py b/pypeit/spectrographs/lbt_mods.py index 4e88453a49..4382eceb85 100644 --- a/pypeit/spectrographs/lbt_mods.py +++ b/pypeit/spectrographs/lbt_mods.py @@ -124,12 +124,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 28f23ee6eb..9de7dec633 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -1,10 +1,23 @@ """ Module for LDT/DeVeny specific methods. +The DeVeny spectrograph was built at Kitt Peak National Observatory (KPNO) +and known as the White Spectrograph. It had a long career at the #1 36-inch +and 84-inch telescopes there before being retired; Lowell Observatory acquired +the spectrograph from KPNO on indefinite loan in 1998. A new CCD camera was +built for it, and the instrument was further modified for installation on the +72-inch Perkins telescope in 2005. Following 8 years of service there, it was +removed in 2013 for upgrades for installation on the Lowell Discovery Telescope +(LDT) instrument cube. It has been in service since February 2015. The +spectrograph was designed for f/7.5 telescope optics, and new re-imaging +optics were designed and fabricated to match the spectrograph with LDT's +f/6.1 beam. + .. include:: ../include/links.rst """ import numpy as np +from astropy.table import Table from astropy.time import Time from pypeit import io @@ -27,7 +40,7 @@ class LDTDeVenySpectrograph(spectrograph.Spectrograph): camera = 'DeVeny' url = 'https://lowell.edu/research/telescopes-and-facilities/ldt/deveny-optical-spectrograph/' header_name = 'Deveny' - comment = 'LDT DeVeny Optical Spectrograph' + comment = 'LDT DeVeny Optical Spectrograph, 2015 - present' supported = True # Parameters equal to the PypeIt defaults, shown here for completeness @@ -123,7 +136,7 @@ def init_meta(self): self.meta['slitwid'] = dict(ext=0, card='SLITASEC') self.meta['lampstat01'] = dict(card=None, compound=True) - def compound_meta(self, headarr, meta_key): + def compound_meta(self, headarr:list, meta_key:str) -> object: """ Methods to generate metadata requiring interpretation of the header data, instead of simply reading the value of a header card. @@ -135,7 +148,7 @@ def compound_meta(self, headarr, meta_key): Metadata keyword to construct. Returns: - object: Metadata value read from the header(s). + :obj:`object`: Metadata value read from the header(s). """ if meta_key == 'binning': # Binning in lois headers is space-separated (like Gemini). @@ -228,12 +241,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -307,8 +320,8 @@ def default_pypeit_par(cls): par['reduce']['findobj']['snr_thresh'] = 50.0 # Default: 10.0 par['reduce']['findobj']['maxnumber_std'] = 1 # Default: 5 par['reduce']['findobj']['maxnumber_sci'] = 5 # Default: 10 - par['reduce']['findobj']['find_fwhm'] = assumed_seeing / 0.34 # Default: 5.0 pix - par['reduce']['extraction']['boxcar_radius'] = assumed_seeing * 1.5 # Default: 1.5" + par['reduce']['findobj']['find_fwhm'] = np.round(assumed_seeing / 0.34, 1) # Default: 5.0 pix + par['reduce']['extraction']['boxcar_radius'] = np.round(assumed_seeing * 1.5, 1) # Default: 1.5" par['reduce']['extraction']['use_2dmodel_mask'] = False # Default: True par['reduce']['skysub']['sky_sigrej'] = 4.0 # Default: 3.0 @@ -322,7 +335,7 @@ def default_pypeit_par(cls): return par - def check_frame_type(self, ftype, fitstbl, exprng=None): + def check_frame_type(self, ftype:str, fitstbl:Table, exprng=None): """ Check for frames of the provided type. @@ -393,13 +406,13 @@ def pypeit_file_keys(self): Define the list of keys to be output into a standard ``PypeIt`` file. Returns: - :obj:`list`: The list of keywords in the relevant + :obj:`list` : The list of keywords in the relevant :class:`~pypeit.metadata.PypeItMetaData` instance to print to the :ref:`pypeit_file`. """ return super().pypeit_file_keys() + ['dispangle','slitwid','lampstat01'] - def get_lamps(self, fitstbl): + def get_lamps(self, fitstbl:Table) -> list: """ Extract the list of arc lamps used from header @@ -408,15 +421,15 @@ def get_lamps(self, fitstbl): There are some faint Cd and Hg lines in the DV9 spectra that are helpful for nailing down the wavelength calibration for that grating, but these lines are too faint / close to other lines for - use with other gratings. Therefore, use a grating-specific line - list for Cd and Hg with DV9, but use the usual ion lists for - everything else. + use with other gratings. This method loads the more detailed + lists for DV9, but loads the usual line lists for all other + gratings. Args: fitstbl (`astropy.table.Table`_): The table with the metadata for one or more arc frames. Returns: - lamps (:obj:`list`) : List used arc lamps + :obj:`list` : List of the used arc lamps """ grating = fitstbl['dispname'][0].split()[0] # Get the DVn specifier return [ @@ -555,13 +568,13 @@ def get_rawimage(self, raw_file, det): that are key for image processing. For LDT/DeVeny, the LOIS control system automatically adjusts the - DATASEC and OSCANSEC regions if the CCD is used in a binning other - than 1x1. The get_rawimage() method in the base class assumes these - sections are fixed and adjusts them based on the binning -- incorrect - for this instrument. + ``DATASEC`` and ``OSCANSEC`` regions if the CCD is used in a binning other + than 1x1. The :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.get_rawimage` + method in the base class assumes these sections are fixed and adjusts + them based on the binning -- an incorrect assumption for this instrument. This method is a stripped-down version of the base class method and - additionally does NOT send the binning to parse.sec2slice(). + additionally does *NOT* send the binning to :func:`~pypeit.core.parse.sec2slice`. Parameters ---------- @@ -572,7 +585,7 @@ def get_rawimage(self, raw_file, det): Returns ------- - detector_par : :class:`pypeit.images.detector_container.DetectorContainer` + detector_par : :class:`~pypeit.images.detector_container.DetectorContainer` Detector metadata parameters. raw_img : `numpy.ndarray`_ Raw image for this detector. @@ -627,35 +640,37 @@ def get_rawimage(self, raw_file, det): def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table): """ - This routine is for performing instrument/disperser specific tweaks to - standard stars so that sensitivity function fits will be well behaved. + This routine is for performing instrument- and/or disperser-specific + tweaks to standard stars so that sensitivity function fits will be + well behaved. These are tweaks needed by LDT/DeVeny for smooth sensfunc sailing. Parameters ---------- - wave_in: (float np.ndarray) shape = (nspec,) - Input standard star wavelenghts - counts_in: (float np.ndarray) shape = (nspec,) - Input standard star counts - counts_ivar_in: (float np.ndarray) shape = (nspec,) - Input inverse variance of standard star counts - gpm_in: (bool np.ndarray) shape = (nspec,) - Input good pixel mask for standard - meta_table: (dict) - Table containing meta data that is slupred from the specobjs object. - See unpack_object routine in specobjs.py for the contents of this table. + wave_in: `numpy.ndarray`_ + Input standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_in: `numpy.ndarray`_ + Input standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_in: `numpy.ndarray`_ + Input inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_in: `numpy.ndarray`_ + Input good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) + meta_table: :obj:`dict` + Table containing meta data that is slupred from the :class:`~pypeit.specobjs.SpecObjs` + object. See :meth:`~pypeit.specobjs.SpecObjs.unpack_object` for the + contents of this table. Returns ------- - wave_out: (float np.ndarray) shape = (nspec,) - Output standard star wavelenghts - counts_out: (float np.ndarray) shape = (nspec,) - Output standard star counts - counts_ivar_out: (float np.ndarray) shape = (nspec,) - Output inverse variance of standard star counts - gpm_out: (bool np.ndarray) shape = (nspec,) - Output good pixel mask for standard + wave_out: `numpy.ndarray`_ + Output standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_out: `numpy.ndarray`_ + Output standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_out: `numpy.ndarray`_ + Output inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_out: `numpy.ndarray`_ + Output good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) """ # First, simply chop off the wavelengths outside physical limits: beyond = (wave_in < 2900.0) | (wave_in > 11000.0) @@ -700,15 +715,15 @@ def rotate_trimsections(section_string: str, nspecpix: int): """ In order to orient LDT/DeVeny images into the PypeIt-standard configuration, frames are essentially rotated 90º clockwise. As such, - x' = y and y' = -x. + :math:`x' = y` and :math:`y' = -x`. - The TRIMSEC / BIASSEC FITS keywords in LDT/DeVeny data specify the - proper regions to be trimmed for the data and overscan arrays, + The ``TRIMSEC`` / ``BIASSEC`` FITS keywords in LDT/DeVeny data specify + the proper regions to be trimmed for the data and overscan arrays, respectively, in the native orientation. This method performs the - rotation and returns the section in the Numpy image section required + rotation and returns the slices for the Numpy image section required by the PypeIt processing routines. - The LDT/DeVeny FITS header lists the sections as '[SPEC_SEC,SPAT_SEC]'. + The LDT/DeVeny FITS header lists the sections as ``'[SPEC_SEC,SPAT_SEC]'``. Args: section_string (:obj:`str`): @@ -716,7 +731,8 @@ def rotate_trimsections(section_string: str, nspecpix: int): nspecpix (:obj:`int`): The total number of pixels in the spectral direction Returns: - section (:obj:`numpy.ndarray`): Numpy image section needed by PypeIt + section (`numpy.ndarray`_): + Numpy image section needed by PypeIt """ # Split out the input section into spectral and spatial pieces spec_sec, spat_sec = section_string.strip('[]').split(',') @@ -730,46 +746,44 @@ def rotate_trimsections(section_string: str, nspecpix: int): @staticmethod def scrub_isot_dateobs(dt_str: str): - """Scrub the input DATE-OBS for ingestion by datetime - - First of all, strict ISO 8601 format requires a 6-digit "microsecond" field - as the fractional portion of the seconds. In the DATE-OBS field, lois only - prints two digits for the fractional second. The main scrub here adds - additional trailing zeroes to satifsy the formatting requirements of - :obj:`datetime.datetime.fromisoformat`. + """Scrub the input ``DATE-OBS`` for ingestion by AstroPy Time - While this yields happy results for the majority of cases, sometimes lois - has roundoff abnormalities in the time string written to the DATE-OBS - header keyword. For example, "2020-01-30T13:17:010.00" was written, where - the seconds has 3 digits -- presumably the seconds field was constructed - with a leading zero because ``sec`` was < 10, but when rounded for printing - yielded "10.00", producing a complete seconds field of "010.00". + The main issue this method addresses is that sometimes the LOIS + software at LDT has roundoff abnormalities in the time string written + to the ``DATE-OBS`` header keyword. For example, in one header + ``2020-01-30T13:17:010.0`` was written, where the seconds has 3 digits + -- presumably the seconds field was constructed with a leading zero + because ``sec`` was < 10, but when rounded for printing + yielded "10.00", producing a complete seconds field of ``010.00``. - These kinds of abnormalities cause the standard python datetime parsers to - freak out with ``ValueError`` s. This function attempts to return the - datetime directly, but then scrubs any values that cause a ``ValueError``. + This abnormality, along with a seconds field equaling ``60.00``, causes + AstroPy's Time parser to freak out with a ``ValueError``. This + method attempts to return the `astropy.time.Time`_ object directly, but + then scrubs any values that cause a ``ValueError``. The scrubbing consists of deconstructing the string into its components, - then carefully reconstructing it into proper ISO 8601 format. Also, some - recursive edge-case catching is done, but at some point you just have to - go buy a lottery ticket. + then carefully reconstructing it into proper ISO 8601 format. Also, + some recursive edge-case catching is done, but at some point you just + have to give up and go buy a lottery ticket. + + If you have a truly bizarre ``DATE-OBS`` string, simply edit that keyword + in the FITS header and then re-run ``PypeIt``. Parameters ---------- - dt_str : str - Input datetime string from the DATE-OBS header keyword + dt_str : :obj:`str` + Input datetime string from the ``DATE-OBS`` header keyword Returns ------- `astropy.time.Time`_ - The Astropy Time() object corresponding to the DATE-OBS input string + The AstroPy Time object corresponding to the ``DATE-OBS`` input string """ # Clean all leading / trailing whitespace dt_str = dt_str.strip() + + # Attempt to directly return the AstroPy Time object try: - # fromisoformat() expects a 6-digit microsecond field; append zeros - if (n_micro := len(dt_str.split(".")[-1])) < 6: - dt_str += "0" * (6 - n_micro) return Time(dt_str, format='isot') except ValueError: # Split out all pieces of the datetime, and recompile diff --git a/pypeit/spectrographs/mdm_osmos.py b/pypeit/spectrographs/mdm_osmos.py index 5dd9cc2614..1051a4be8e 100644 --- a/pypeit/spectrographs/mdm_osmos.py +++ b/pypeit/spectrographs/mdm_osmos.py @@ -168,12 +168,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/mmt_binospec.py b/pypeit/spectrographs/mmt_binospec.py index 036071f532..49d48fcd5d 100644 --- a/pypeit/spectrographs/mmt_binospec.py +++ b/pypeit/spectrographs/mmt_binospec.py @@ -149,12 +149,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/mmt_bluechannel.py b/pypeit/spectrographs/mmt_bluechannel.py index c7b54a811b..180556cf4c 100644 --- a/pypeit/spectrographs/mmt_bluechannel.py +++ b/pypeit/spectrographs/mmt_bluechannel.py @@ -200,12 +200,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/mmt_mmirs.py b/pypeit/spectrographs/mmt_mmirs.py index 018ed9a044..54ff1ca288 100644 --- a/pypeit/spectrographs/mmt_mmirs.py +++ b/pypeit/spectrographs/mmt_mmirs.py @@ -85,12 +85,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/not_alfosc.py b/pypeit/spectrographs/not_alfosc.py index df8902948f..56edf4887f 100644 --- a/pypeit/spectrographs/not_alfosc.py +++ b/pypeit/spectrographs/not_alfosc.py @@ -219,12 +219,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/ntt_efosc2.py b/pypeit/spectrographs/ntt_efosc2.py index 3390bf02f4..38101f94f5 100644 --- a/pypeit/spectrographs/ntt_efosc2.py +++ b/pypeit/spectrographs/ntt_efosc2.py @@ -123,12 +123,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/p200_dbsp.py b/pypeit/spectrographs/p200_dbsp.py index 882538d8a6..1254635cc9 100644 --- a/pypeit/spectrographs/p200_dbsp.py +++ b/pypeit/spectrographs/p200_dbsp.py @@ -110,12 +110,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/p200_tspec.py b/pypeit/spectrographs/p200_tspec.py index 5ce93054de..fa63f0d7e8 100644 --- a/pypeit/spectrographs/p200_tspec.py +++ b/pypeit/spectrographs/p200_tspec.py @@ -95,12 +95,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/shane_kast.py b/pypeit/spectrographs/shane_kast.py index e4bb16989e..0f2244eb65 100644 --- a/pypeit/spectrographs/shane_kast.py +++ b/pypeit/spectrographs/shane_kast.py @@ -326,12 +326,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -501,12 +501,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -564,29 +564,29 @@ def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table) Parameters ---------- - wave_in: (float np.ndarray) shape = (nspec,) - Input standard star wavelenghts - counts_in: (float np.ndarray) shape = (nspec,) - Input standard star counts - counts_ivar_in: (float np.ndarray) shape = (nspec,) - Input inverse variance of standard star counts - gpm_in: (bool np.ndarray) shape = (nspec,) - Input good pixel mask for standard - meta_table: (astropy.table) - Table containing meta data that is slupred from the specobjs object. See unpack_object routine in specobjs.py - for the contents of this table. + wave_in: `numpy.ndarray`_ + Input standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_in: `numpy.ndarray`_ + Input standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_in: `numpy.ndarray`_ + Input inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_in: `numpy.ndarray`_ + Input good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) + meta_table: :obj:`dict` + Table containing meta data that is slupred from the :class:`~pypeit.specobjs.SpecObjs` + object. See :meth:`~pypeit.specobjs.SpecObjs.unpack_object` for the + contents of this table. Returns ------- - wave_out: (float np.ndarray) shape = (nspec,) - Output standard star wavelenghts - counts_out: (float np.ndarray) shape = (nspec,) - Output standard star counts - counts_ivar_out: (float np.ndarray) shape = (nspec,) - Output inverse variance of standard star counts - gpm_out: (bool np.ndarray) shape = (nspec,) - Output good pixel mask for standard - + wave_out: `numpy.ndarray`_ + Output standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_out: `numpy.ndarray`_ + Output standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_out: `numpy.ndarray`_ + Output inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_out: `numpy.ndarray`_ + Output good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) """ # Could check the wavelenghts here to do something more robust to header/meta data issues @@ -713,12 +713,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index 10fbc36926..fc0c2a627d 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -101,12 +101,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 002d491566..869a3aabeb 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -747,12 +747,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: @@ -1829,29 +1829,29 @@ def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table) Parameters ---------- - wave_in: (float np.ndarray) shape = (nspec,) - Input standard star wavelenghts - counts_in: (float np.ndarray) shape = (nspec,) - Input standard star counts - counts_ivar_in: (float np.ndarray) shape = (nspec,) - Input inverse variance of standard star counts - gpm_in: (bool np.ndarray) shape = (nspec,) - Input good pixel mask for standard - meta_table: (dict) - Table containing meta data that is slupred from the specobjs object. See unpack_object routine in specobjs.py - for the contents of this table. + wave_in: `numpy.ndarray`_ + Input standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_in: `numpy.ndarray`_ + Input standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_in: `numpy.ndarray`_ + Input inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_in: `numpy.ndarray`_ + Input good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) + meta_table: :obj:`dict` + Table containing meta data that is slupred from the :class:`~pypeit.specobjs.SpecObjs` + object. See :meth:`~pypeit.specobjs.SpecObjs.unpack_object` for the + contents of this table. Returns ------- - wave_out: (float np.ndarray) shape = (nspec,) - Output standard star wavelenghts - counts_out: (float np.ndarray) shape = (nspec,) - Output standard star counts - counts_ivar_out: (float np.ndarray) shape = (nspec,) - Output inverse variance of standard star counts - gpm_out: (bool np.ndarray) shape = (nspec,) - Output good pixel mask for standard - + wave_out: `numpy.ndarray`_ + Output standard star wavelengths (:obj:`float`, ``shape = (nspec,)``) + counts_out: `numpy.ndarray`_ + Output standard star counts (:obj:`float`, ``shape = (nspec,)``) + counts_ivar_out: `numpy.ndarray`_ + Output inverse variance of standard star counts (:obj:`float`, ``shape = (nspec,)``) + gpm_out: `numpy.ndarray`_ + Output good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) """ return wave_in, counts_in, counts_ivar_in, gpm_in diff --git a/pypeit/spectrographs/tng_dolores.py b/pypeit/spectrographs/tng_dolores.py index 7c1c5dc7e4..251cf16b49 100644 --- a/pypeit/spectrographs/tng_dolores.py +++ b/pypeit/spectrographs/tng_dolores.py @@ -196,12 +196,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/vlt_fors.py b/pypeit/spectrographs/vlt_fors.py index f6e5776bca..a7070086f4 100644 --- a/pypeit/spectrographs/vlt_fors.py +++ b/pypeit/spectrographs/vlt_fors.py @@ -358,12 +358,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/vlt_sinfoni.py b/pypeit/spectrographs/vlt_sinfoni.py index 16ebbc5e43..7fb799a0e2 100644 --- a/pypeit/spectrographs/vlt_sinfoni.py +++ b/pypeit/spectrographs/vlt_sinfoni.py @@ -236,12 +236,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index ca89a215f7..0a80f62ddd 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -105,12 +105,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: diff --git a/pypeit/spectrographs/wht_isis.py b/pypeit/spectrographs/wht_isis.py index a734ccba69..8ab81b5e3f 100644 --- a/pypeit/spectrographs/wht_isis.py +++ b/pypeit/spectrographs/wht_isis.py @@ -91,12 +91,12 @@ def raw_header_cards(self): downstream output files for configuration identification. The list of raw data FITS keywords should be those used to populate - the :meth:`~pypeit.spectrograph.Spectrograph.configuration_keys` - or are used in :meth:`~pypeit.spectrograph.Spectrograph.config_specific_par` + the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` + or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - PypeIt metadata keyword. + ``PypeIt`` metadata keyword. - This list is used by :meth:`~pypeit.spectrograph.Spectrograph.subheader_for_spec` + This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. Returns: From 3e7a2d0feafc00b87bcc0cf9bf80ebb10812619a Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Mon, 8 May 2023 22:15:34 -0700 Subject: [PATCH 279/308] Fix test to align with updated bit flag error message modified: pypeit/spectrographs/ldt_deveny.py modified: pypeit/tests/test_bitmask.py --- pypeit/spectrographs/ldt_deveny.py | 2 +- pypeit/tests/test_bitmask.py | 18 ++++++++---------- 2 files changed, 9 insertions(+), 11 deletions(-) diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 9de7dec633..5a24d453db 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -348,7 +348,7 @@ def check_frame_type(self, ftype:str, fitstbl:Table, exprng=None): exprng (:obj:`list`, optional): Range in the allowed exposure time for a frame of type ``ftype``. See - :func:`pypeit.core.framematch.check_frame_exptime`. + :func:`~pypeit.core.framematch.check_frame_exptime`. Returns: `numpy.ndarray`_: Boolean array with the flags selecting the diff --git a/pypeit/tests/test_bitmask.py b/pypeit/tests/test_bitmask.py index 92e7cbf819..b99f257d35 100644 --- a/pypeit/tests/test_bitmask.py +++ b/pypeit/tests/test_bitmask.py @@ -1,7 +1,5 @@ import pytest -from collections import OrderedDict - from IPython import embed import numpy @@ -9,15 +7,15 @@ from astropy.io import fits from pypeit.bitmask import BitMask -from pypeit.tests.tstutils import data_path +from pypeit.pypmsgs import PypeItError #----------------------------------------------------------------------------- class ImageBitMask(BitMask): def __init__(self): - bits = OrderedDict([('BPM', 'Pixel is part of a bad-pixel mask'), - ('COSMIC', 'Pixel is contaminated by a cosmic ray'), - ('SATURATED', 'Pixel is saturated.')]) + bits = {'BPM': 'Pixel is part of a bad-pixel mask', + 'COSMIC': 'Pixel is contaminated by a cosmic ray', + 'SATURATED': 'Pixel is saturated.'} super(ImageBitMask, self).__init__(list(bits.keys()), descr=list(bits.values())) @@ -99,13 +97,13 @@ def test_wrong_bits(): cosmics_indx[numpy.random.randint(0,high=n,size=100), numpy.random.randint(0,high=n,size=100)] = True mask[cosmics_indx] = image_bm.turn_on(mask[cosmics_indx], 'COSMIC') - -# out = image_bm.flagged(mask, 'JUNK') - with pytest.raises(ValueError): + # Fails with all bad flags + with pytest.raises(PypeItError): out = image_bm.flagged(mask, flag='JUNK') - with pytest.raises(ValueError): + # Fails with mix of good and bad flags + with pytest.raises(PypeItError): out = image_bm.flagged(mask, flag=['COSMIC', 'JUNK']) assert numpy.sum(image_bm.flagged(mask, flag='COSMIC')) == numpy.sum(cosmics_indx) From 441c85f97b9a619697593455fed12fc8efe70e40 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 9 May 2023 14:17:15 -0700 Subject: [PATCH 280/308] after discussion with JFH and JXP --- doc/coadd2d.rst | 22 +---- doc/quicklook.rst | 6 +- doc/scripts.rst | 10 ++ doc/tutorials/coadd2d_howto.rst | 103 ++++++++++++++------- pypeit/pypeit.py | 2 +- pypeit/scripts/coadd_2dspec.py | 12 ++- pypeit/scripts/ql.py | 158 ++++++++++++++++++-------------- pypeit/scripts/setup_coadd2d.py | 79 ++++++++++------ 8 files changed, 233 insertions(+), 159 deletions(-) diff --git a/doc/coadd2d.rst b/doc/coadd2d.rst index 468d3e9d1c..90abc82804 100644 --- a/doc/coadd2d.rst +++ b/doc/coadd2d.rst @@ -74,23 +74,6 @@ is a simple list of the :doc:`out_spec2D` files. You may also include file-specific options in the :ref:`data_block` as additional columns. See :ref:`data_block` for its formatting. -.. warning:: - - .. deprecated:: 1.9.2 - - Previously the :ref:`data_block` did not require - the column name ``filename`` and the ``path`` was not permitted. - It might have looked like this: - - .. code-block:: ini - - # Data block - spec2d read - spec2d_b170320_2083-c17_60L._LRISb_2017Mar20T055336.211.fits - spec2d end - - Edit it accordingly to meet the new standard above. - .. _pypeit_setup_coadd2d: Setup script @@ -110,12 +93,13 @@ using a pypeit file, you can construct the default coadd2d file(s) using: .. code-block:: console - pypeit_setup_coadd2d keck_lris_A.pypeit + pypeit_setup_coadd2d -f keck_lris_A.pypeit This will produce one ``.coadd2d`` file per unique ``target`` in the pypeit file with associated ``spec2d`` files in the output science directory. The script provides additional options that allow you to select specific objects/targets, -specify the detectors to coadd, and/or specify the slits that should be coadded. +specify the method used to set the offsets and/or weights, specify the detectors +to coadd, and/or specify the slits that should be coadded. .. _pypeit-coadd-2dspec: diff --git a/doc/quicklook.rst b/doc/quicklook.rst index 06a1f0644a..77f09011e4 100644 --- a/doc/quicklook.rst +++ b/doc/quicklook.rst @@ -77,8 +77,8 @@ The script provides a few ways that you can specify the files to reduce: #. Provide the directory and list of files directly on the command line. - #. Provide the directory and the file extension, which will be used to search - for and reduce all files found. + #. Provide only the raw directory, which will be used to search + for any ``*.fits*`` files and reduce all files found. An example file named ``input.rawfiles`` used in the first approach could look like this: @@ -111,7 +111,7 @@ in ``/path/to/files``, the third entry option would look like this: .. code-block:: console - pypeit_ql shane_kast_blue --raw_path /path/to/files --ext fits.gz + pypeit_ql shane_kast_blue --raw_path /path/to/files In this example (see more below), the three files are an arc-lamp exposure (``b1.fits.gz``), a dome-flat exposure (``b10.fits.gz``), and an on-sky science diff --git a/doc/scripts.rst b/doc/scripts.rst index a8cbd4f73e..a0024fa504 100644 --- a/doc/scripts.rst +++ b/doc/scripts.rst @@ -351,6 +351,16 @@ The script usage can be displayed by calling the script with the .. include:: help/pypeit_multislit_flexure.rst +pypeit_setup_coadd2d +-------------------- + +This is used to setup a ``coadd2d`` file for performing 2D coadds; see :doc:`coadd2d`. + +The script usage can be displayed by calling the script with the +``-h`` option: + +.. include:: help/pypeit_setup_coadd2d.rst + pypeit_coadd_2dspec ------------------- diff --git a/doc/tutorials/coadd2d_howto.rst b/doc/tutorials/coadd2d_howto.rst index 4f5563b35d..ad10a44488 100644 --- a/doc/tutorials/coadd2d_howto.rst +++ b/doc/tutorials/coadd2d_howto.rst @@ -28,10 +28,16 @@ Coadd2d File ------------ :ref:`pypeit-coadd-2dspec` requires an input file to guide the process, called -the ``coadd2d`` file (see :ref:`coadd2d_file`). Unlike the :ref:`pypeit_file`, -the coadd2d file needs to be generated by the user. The format of this type of -:doc:`../input_files` includes a `Parameter Block`_ (optional) and a `Data -Block`_ (required). +the ``coadd2d`` file (see :ref:`coadd2d_file`). Similar to :ref:`pypeit_setup`, +we provide a script that can be used to automatically generate one or more +``coadd2d`` files for you; see :ref:`here `. Although +this script will at least get you started with the ``coadd2d`` file, you may +need to edit the file to ensure the coadding is performed as you desire. Here, +we further explain the format of the file and some typical edits you might want +to make. + +The format of the ``coadd2d`` :ref:`Input File ` includes a +`Parameter Block`_ (optional) and a `Data Block`_ (required). Here is an example ``coadd2d`` file: @@ -104,6 +110,7 @@ Here are the options: - ``offsets = maskdef_offsets``: PypeIt will use the offsets, determined during the main reduction run, between the position of the extracted objects and their expected position from the slitmask design information. + - ``offsets = header``: PypeIt will use the dither offsets recorded in the header, if available. .. note:: @@ -137,47 +144,75 @@ Keck/LRIS Example LRIS: Create coadd2D file ------------------------- -After a successful reduction with :ref:`run-pypeit`, we create a coadd 2D file. We create an ascii file -that in this case we call `keck_lris_blue_multi_600_4000_d560.coadd2d` and start filling the `Data Block`_. -We grab the 2D spectra files that we want to coadd from the `Science` folder: +Using the ``keck_lris_blue/multi_600_4000_d560`` dataset from the +:ref:`dev-suite` as an example, a successful execution of :ref:`run-pypeit` using the +``keck_lris_blue_multi_600_4000_d560.pypeit`` should result in the following spec2d files: .. code-block:: bash - [INFO] :: run_pypeit.py 143 main() - Data reduction complete - [INFO] :: run_pypeit.py 146 main() - Generating QA HTML - $ ls -1 Science/spec2d*.fits Science/spec2d_b170320_2083-c17_60L._LRISb_20170320T055336.211.fits Science/spec2d_b170320_2090-c17_60L._LRISb_20170320T082144.525.fits Science/spec2d_b170320_2084-c17_60L._LRISb_20170320T062414.630.fits Science/spec2d_b170320_2091-c17_60L._LRISb_20170320T085223.894.fits -and paste them in `keck_lris_blue_multi_600_4000_d560.coadd2d`. We then fill out the `Parameter Block`_. -Our coadd2d file looks like this: +You can automatically generate the ``coadd2d`` script by executing + +.. code-block:: bash + + pypeit_setup_coadd2d -f keck_lris_blue_multi_600_4000_d560.pypeit --only_slits 30 70 111 156 216 --det 2 + +The ``--only_slits`` option allows you to specify specific slits to coadd, +instead of coadding all that are available. We also select to only combine the +data on detector 2. The result of the script is a file called +``keck_lris_blue_multi_600_4000_d560_c17_60L..coadd2d``, which looks like this: .. code-block:: ini + # Auto-generated Coadd2D input file using PypeIt version: 1.12.3.dev337+g096680b06.d20230503 + # UTC 2023-05-08T19:45:26.885 + # User-defined execution parameters [rdx] spectrograph = keck_lris_blue - detnum = 2 + redux_path = /path/to/PypeIt-development-suite/REDUX_OUT/keck_lris_blue/multi_600_4000_d560 + scidir = Science + qadir = QA + detnum = 2, + [calibrations] + calib_dir = Calibrations + [[wavelengths]] + refframe = observed + [coadd2d] + offsets = auto + weights = auto + only_slits = 30, 70, 111, 156, 216 + [flexure] + spec_method = skip [reduce] [[findobj]] - snr_thresh=5.0 + skip_skysub = True - # Data block + # Data block spec2d read - filename - Science/spec2d_b170320_2083-c17_60L._LRISb_20170320T055336.211.fits - Science/spec2d_b170320_2090-c17_60L._LRISb_20170320T082144.525.fits - Science/spec2d_b170320_2084-c17_60L._LRISb_20170320T062414.630.fits - Science/spec2d_b170320_2091-c17_60L._LRISb_20170320T085223.894.fits + path /path/to/PypeIt-development-suite/REDUX_OUT/keck_lris_blue/multi_600_4000_d560/Science + filename + spec2d_b170320_2083-c17_60L._LRISb_20170320T055336.211.fits + spec2d_b170320_2084-c17_60L._LRISb_20170320T062414.630.fits + spec2d_b170320_2090-c17_60L._LRISb_20170320T082144.525.fits + spec2d_b170320_2091-c17_60L._LRISb_20170320T085223.894.fits spec2d end +Note that the default :ref:`coadd2dpar` parameters are set to ``offsets = auto`` +and ``weights = auto``. See :ref:`pypeit_setup_coadd2d` for additional parameters. -In this case, you will notice that there are no ``[coadd2d]`` parameters here. This means that the default -parameters are use: ``offsets = auto`` and ``weights = auto``. +.. note:: + The :ref:`pypeit_setup_coadd2d` script is new as of version 1.13.0. Some of + the options that were passed to ``pypeit_coadd2d`` in previous versions are + now passed to ``pyepit_setup_coadd2d`` instead. One example is the use of + ``--only_slits`` above; another is that objects are selected in + ``pypeit_setup_coadd2d``, not ``pypeit_coadd_2dspec``. LRIS: Run --------- @@ -186,11 +221,7 @@ Once the coadd2d file is ready, the main call is simply: .. code-block:: bash - $ pypeit_coadd_2dspec --file keck_lris_blue_multi_600_4000_d560.coadd2d --only_slits 30,70,111,156,216 - -The ``--only_slits`` option allows to perform the 2D coadding only for the selected slits. Note that `only_slits` -can be also provided in the coadd 2D file as a :ref:`coadd2dpar`. -Several options can be added to this simple run and you can find all of them in :ref:`pypeit-coadd-2dspec`. + $ pypeit_coadd_2dspec keck_lris_blue_multi_600_4000_d560_c17_60L..coadd2d At the beginning of the run, the user should inspect the information printed on the terminal by the script, and verify that the offsets and the way the weights are computed are accepted. This is an example of the @@ -242,7 +273,7 @@ Here is a screen shot from the third tab in the `ginga`_ window (sky_resid-DET02 .. code-block:: bash - $ pypeit_show_2dspec Science_coadd/spec2d_b170320-b170320-c17.fits --det DET02 + $ pypeit_show_2dspec Science_coadd/spec2d_b170320_2083-b170320_2091-c17_60L..fits --det DET02 .. image:: ../figures/coadd2d_keck_lris_blue.png :scale: 50% @@ -258,7 +289,7 @@ LRIS: Inspecting spec1d output ------------------------------ Like for the main PypeIt reduction, a summary of all the extracted sources can be -found in the ``spec1d_b170320-b170320-c17.txt`` file in the ``Science_coadd`` folder. Here is an +found in the ``Science_coadd/spec1d_b170320_2083-b170320_2091-c17_60L..txt`` file. Here is an example of how it looks: .. code-block:: console @@ -280,6 +311,11 @@ visual inspection and a noise diagnostic plot. Here is an example of the call an .. image:: ../figures/noisecheck_keck_lris_blue.png +.. warning:: + + The exact name of the object may change due to slight spatial shifts in + where the object is found. + The plot on the right is showing the distribution of Flux/Noise of the extracted spectrum. In this example there is clearly flux coming from the object that biases the Flux/Noise diagnostic plot. However, this script provides the possibility to select a region in the spectrum without emission to be used for the diagnostic plot. @@ -296,7 +332,7 @@ DEIMOS: Create coadd2D file --------------------------- After a successful reduction with :ref:`run-pypeit`, we create a coadd 2D file. -Our coadd2d file is called ``keck_deimos_1200g_m_7750.coadd2d`` and looks like this: +Our coadd2d file is called ``keck_deimos_1200g_m_7750_dra11.coadd2d`` and looks like this: .. code-block:: ini @@ -348,7 +384,7 @@ Once the coadd2d file is ready, the main call is simply: .. code-block:: bash - $ pypeit_coadd_2dspec --file keck_deimos_1200g_m_7750.coadd2d + $ pypeit_coadd_2dspec keck_deimos_1200g_m_7750.coadd2d The script will print in the terminal something like this: @@ -417,6 +453,7 @@ Our coadd2d file is called ``keck_mosfire.coadd2d`` and looks like this: [coadd2d] offsets = maskdef_offsets weights = auto + only_slits = 1987, 721, 410, 151 # Data block spec2d read @@ -447,9 +484,7 @@ Once the coadd2d file is ready, the main call is simply: .. code-block:: bash - $ pypeit_coadd_2dspec --file keck_mosfire.coadd2d --only_slits 1987,721,410,151 - -The ``--only_slits`` option allows to perform the 2D coadding only for the selected slits. + $ pypeit_coadd_2dspec keck_mosfire.coadd2d The script will print in the terminal something like this: diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index dcc386d2d1..fd3c0c6cc5 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -290,7 +290,7 @@ def calib_all(self): user_slits=slittrace.merge_user_slit(self.par['rdx']['slitspatnum'], self.par['rdx']['maskIDs'])) # Do it - # These need to be separate to accomodate COADD2D + # These need to be separate to accommodate COADD2D self.caliBrate.set_config(grp_frames[0], self.det, self.par['calibrations']) self.caliBrate.run_the_steps() diff --git a/pypeit/scripts/coadd_2dspec.py b/pypeit/scripts/coadd_2dspec.py index 806c787cc1..7c0a62c79a 100644 --- a/pypeit/scripts/coadd_2dspec.py +++ b/pypeit/scripts/coadd_2dspec.py @@ -26,6 +26,14 @@ def get_parser(cls, width=None): help="Show the peaks found by the object finding algorithm.") parser.add_argument("--basename", type=str, default=None, help="Basename of files to save the parameters, spec1d, and spec2d") + + parser.add_argument("--debug", default=False, action="store_true", help="show debug plots?") + parser.add_argument('-v', '--verbosity', type=int, default=1, + help='Verbosity level between 0 [none] and 2 [all]. Default: 1. ' + 'Level 2 writes a log with filename coadd_2dspec_YYYYMMDD-HHMM.log') + + # TODO: Make spec_samp_fact and spat_samp_fact parameters in CoAdd2DPar, + # and then move these to setup_coadd2d.py parser.add_argument('--spec_samp_fact', default=1.0, type=float, help="Make the wavelength grid finer (spec_samp_fact < 1.0) or " "coarser (spec_samp_fact > 1.0) by this sampling factor, i.e. " @@ -34,10 +42,6 @@ def get_parser(cls, width=None): help="Make the spatial grid finer (spat_samp_fact < 1.0) or coarser " "(spat_samp_fact > 1.0) by this sampling factor, i.e. units of " "spat_samp_fact are pixels.") - parser.add_argument("--debug", default=False, action="store_true", help="show debug plots?") - parser.add_argument('-v', '--verbosity', type=int, default=1, - help='Verbosity level between 0 [none] and 2 [all]. Default: 1. ' - 'Level 2 writes a log with filename coadd_2dspec_YYYYMMDD-HHMM.log') #parser.add_argument("--wave_method", type=str, default=None, # help="Wavelength method for wavelength grid. If not set, code will " diff --git a/pypeit/scripts/ql.py b/pypeit/scripts/ql.py index a49886a967..8346a3aacd 100644 --- a/pypeit/scripts/ql.py +++ b/pypeit/scripts/ql.py @@ -66,7 +66,7 @@ from pypeit.scripts.coadd_2dspec import CoAdd2DSpec from pypeit.scripts.show_2dspec import Show2DSpec -def get_files(raw_files, raw_path, ext): +def get_files(raw_files, raw_path): """ Use the user-provided input to get the files to process. @@ -77,9 +77,6 @@ def get_files(raw_files, raw_path, ext): raw_path (:obj:`str`): The path to the raw files parsed from the ``raw_path`` command line argument. - ext (:obj:`str`): - The file extension used to search for raw files parsed from the - ``ext`` command line argument. Returns: :obj:`list`: List of strings providing the full path to each raw file. @@ -95,11 +92,10 @@ def get_files(raw_files, raw_path, ext): pass if files is None: try: - files = inputfiles.grab_rawfiles(raw_paths=[raw_path], list_of_files=raw_files, - extension=ext) + files = inputfiles.grab_rawfiles(raw_paths=[raw_path], list_of_files=raw_files) except PypeItError as e: - msgs.error('Unable to parse provided input files. Check --raw_files, --raw_path, ' - 'and/or --ext input.') + msgs.error('Unable to parse provided input files. Check --raw_files and ' + '--raw_path input.') return files @@ -158,28 +154,59 @@ def quicklook_regroup(fitstbl): if 'target' in fitstbl.keys() \ and not all(fitstbl['target'][is_type] == fitstbl['target'][is_type][0]): msgs.error(f'All {frametype} frames must be of the same target.') + + # Regroup dithered observations so that all images at a unique + # offset are combined. if 'bkg_id' in fitstbl.keys() and any(fitstbl['bkg_id'].data[is_type] != -1): if 'dithoff' not in fitstbl.keys(): msgs.error('CODING ERROR: Metadata does not include dithoff column!') # Group the unique dither positions dith, inv = np.unique(fitstbl['dithoff'].data[is_type], return_inverse=True) - fitstbl['comb_id'][is_type] = inv + comb_strt - # NOTE: This does the "dumb" thing of just setting the background - # image for the first offset to the second one, and setting the - # background for all other offsets to be the first one. - fitstbl['bkg_id'][np.where(is_type)[0][inv == comb_strt]] = comb_strt+1 - fitstbl['bkg_id'][np.where(is_type)[0][inv != comb_strt]] = comb_strt + if len(dith) == 1: + msgs.warn('All exposures have the same offset!') + fitstbl['comb_id'][is_type] = comb_strt + else: + # This creates comb+bkg pairs that match the absolute value of the offset + # - Find the unique absolute values + abs_dith, abs_inv = np.unique(np.absolute(dith), return_inverse=True) + # - Create the indices that will identify the background images + bkg_inv = np.arange(dith.size) + # - For each unique throw, swap the combination IDs for the background IDs + for i in range(abs_dith.size): + bkg_inv[abs_inv == i] = bkg_inv[abs_inv == i][::-1] + # - Get the background indices + bkg_inv = bkg_inv[inv] + + if np.array_equal(bkg_inv, inv): + # All of the offsets are unique! Do the "dumb" thing of + # just setting the background image for the first offset + # to the second one, and setting the background for all + # other offsets to be the first one. + fitstbl['bkg_id'][np.where(is_type)[0][inv == comb_strt]] = comb_strt+1 + fitstbl['bkg_id'][np.where(is_type)[0][inv != comb_strt]] = comb_strt + else: + same_frame = np.equal(bkg_inv, inv) + if any(same_frame): + # One or more of the offsets has no matched + # absolute-value pair. Just use one of the other + # background images. + indx = np.where(np.logical_not(same_frame))[0][-1] + bkg_inv[same_frame] = bkg_inv[indx] + # All the offsets have a matched absolute value pair + fitstbl['comb_id'][is_type] = inv + comb_strt + fitstbl['bkg_id'][is_type] = bkg_inv + comb_strt else: + # Force all images to be combined fitstbl['comb_id'][is_type] = comb_strt + # Prep for the next image type (only if there are standards!) comb_strt = np.amax(fitstbl['comb_id'].data[is_type])+1 def generate_sci_pypeitfile(redux_path:str, ref_calib_dir:Path, ps_sci, - calib_grp:int=None, det:str=None, - clean:bool=False, + clear:bool=False, slitspatnum:str=None, maskID:str=None, boxcar_radius:float=None, @@ -204,13 +231,9 @@ def generate_sci_pypeitfile(redux_path:str, location of the calibrations expected by :class:`~pypeit.PypeIt`. ps_sci (:class:`~pypeit.pypeitsetup.PypeItSetup`): Setup object for the science frame(s) only. - calib_grp (:obj:`int`, optional): - If the reference calibration directory contains results from more - than one calibration group, this *must* be provided, specifying - which calibration group should be used. det (:obj:`str`, optional): Detector/mosaic identifier. If None, all detectors are reduced. - clean (:obj:`bool`, optional): + clear (:obj:`bool`, optional): Remove the directory structure for these files; i.e., start a completely clean reduction. If false, any existing directory structure will remain, but any existing science reduction products @@ -233,7 +256,7 @@ def generate_sci_pypeitfile(redux_path:str, msgs.error(f'Reference calibration directory does not exist: {ref_calib_dir}') # Get the setup and calibration group to use for the science frame(s) - setup, calib = get_setup_calib(ref_calib_dir, calib_grp=calib_grp) + setup, calib = get_setup_calib(ref_calib_dir) # Force them in the fitstbl # TODO: Make this series of operations a function in PypeItMetaData? @@ -248,7 +271,7 @@ def generate_sci_pypeitfile(redux_path:str, calib_dir = sci_dir / ps_sci.par['calibrations']['calib_dir'] # Science reduction folder - if sci_dir.exists() and clean: + if sci_dir.exists() and clear: shutil.rmtree(sci_dir) # NOTE: This is done here (as opposed to waiting for the pypeit.PypeIt call # to create it) so that the symlink to the calibrations directory can be @@ -271,7 +294,7 @@ def generate_sci_pypeitfile(redux_path:str, # the reduced standard and remove the standard from the setup object. std_spec1d = None is_std = ps_sci.fitstbl.find_frames('standard', index=True) - if len(is_std) > 0 and not clean: + if len(is_std) > 0 and not clear: for i in is_std: std_spec1d = pypeit.PypeIt.get_spec_file_name( str(sci_dir / ps_sci.par['rdx']['scidir']), @@ -285,7 +308,7 @@ def generate_sci_pypeitfile(redux_path:str, # NOTE: Should not need to regroup! msgs.warn(f'Found existing standard star reduction: {std_spec1d}. This will be used ' 'and the standards will not be re-reduced! To force them to be ' - 're-reduced, use the --clean option.') + 're-reduced, use the --clear_science option.') ps_sci.remove_table_rows(is_std) # TODO: Push this stuff into a function in par/pypeitpar.py? @@ -621,17 +644,14 @@ def get_parser(cls, width=None): parser.add_argument('--raw_path', type=str, default='current working directory', help='Directory with the raw files to process. Ignored if a ' 'PypeIt-formatted file is provided using the --rawfiles option.') - parser.add_argument('--ext', type=str, default='.fits', - help='If raw file names are not provided directly using the ' - '--rawfiles option, this sets the extension used when searching ' - 'for any files in the path defined by --raw_path. All files ' - 'found in the raw path with this extension will be processed.') + # TODO: Allow user to specify target to be reduced? parser.add_argument('--sci_files', type=str, nargs='+', help='A space-separated list of raw file names that are science ' 'exposures. These files must *also* be in the list of raw ' 'files. Use of this option overrides the automated PypeIt ' - 'frame typing.') + 'frame typing. Should only be used of automatic frame typing ' + 'fails or is undesirable.') parser.add_argument('--redux_path', type=str, default='current working directory', help='Path for the QL reduction outputs.') @@ -650,35 +670,22 @@ def get_parser(cls, width=None): 'in that directory that match the instrument setup/configuration ' 'of the provided data, the code will construct new calibrations ' '(assuming relevant raw files are provided).') - parser.add_argument('--calib_group', type=int, default=None, - help='If the calibration directory contains results from more than ' - 'one calibration group, you *must* specify which one to use. ' - 'The code will fault otherwise.') - parser.add_argument('--clean', default=False, action='store_true', - help='Remove the existing output directories to force a fresh ' + parser.add_argument('--clear_science', default=False, action='store_true', + help='Remove the existing output science directories to force a fresh ' 'reduction. If False, any existing directory structure will ' - 'remain, but any existing science files will still be ' - 'overwritten.') - - # TODO: Options to add?: - # - do not overwrite existing reductions - # - specify `target` to be reduced, either parsed from the frame - # header (i.e., target in the fitstbl) or from the mask information + 'remain, and any alterations to existing science files will ' + 'follow the normal behavior of run_pypeit.') # TODO: Get rid of "calibs only"? I.e., force user only provide # calibrations if they want to process only calibrations. Maybe the - # point is that latter isn't clear for frames typed as + # point is that the latter isn't clear for frames typed as # `arc,science,tilt`... parser.add_argument('--calibs_only', default=False, action='store_true', help='Reduce only the calibrations?') + parser.add_argument('--overwrite_calibs', default=False, action='store_true', - help='Overwrite any existing calibration files?') - parser.add_argument('--slitspatnum', type=str, - help='Reduce the slit(s) as specified by the slitspatnum value(s)') - parser.add_argument('--maskID', type=int, - help='Reduce the slit(s) as specified by the maskID value(s)') - parser.add_argument('--boxcar_radius', type=float, - help='Set the radius for the boxcar extraction in arcseconds') + help='Re-process and overwrite any existing calibration files.') + parser.add_argument('--det', type=str, nargs='+', help='A space-separated set of detectors or detector mosaics to ' 'reduce. By default, *all* detectors or default mosaics for ' @@ -688,20 +695,28 @@ def get_parser(cls, width=None): 'separately reduce detectors 1 and 5 for Keck/DEIMOS, you would ' 'use --det 1 5; to reduce mosaics made up of detectors 1,5 and ' '3,7, you would use --det 1,5 3,7') + parser.add_argument('--slitspatnum', type=str, + help='Reduce the slit(s) as specified by the slitspatnum value(s)') + parser.add_argument('--maskID', type=int, + help='Reduce the slit(s) as specified by the maskID value(s)') + parser.add_argument('--boxcar_radius', type=float, + help='Set the radius for the boxcar extraction in arcseconds') + parser.add_argument('--snr_thresh', default=None, type=float, + help='Change the default S/N threshold used during source detection') + parser.add_argument('--ignore_std', default=False, action='store_true', help='If standard star observations are automatically detected, ' 'ignore those frames. Otherwise, they are included with the ' 'reduction of the science frames.') - parser.add_argument('--snr_thresh', default=None, type=float, - help='Change the default S/N threshold used during source detection') parser.add_argument('--skip_display', dest='show', default=True, action='store_false', help='Run the quicklook without displaying any results.') # TODO: Add fluxing option? # Coadding options - parser.add_argument('--coadd', default=False, action='store_true', + parser.add_argument('--coadd2d', default=False, action='store_true', help='Perform default 2D coadding.') + # TODO: Consolidate slitspatnum and only_slits! parser.add_argument('--only_slits', type=str, nargs='+', help='If coadding, only coadd this space-separated set of slits. If ' 'not provided, all slits are coadded.') @@ -732,12 +747,10 @@ def main(args): tstart = time.perf_counter() - #assert False - # Parse the raw files - files = get_files(args.raw_files, args.raw_path, args.ext) + files = get_files(args.raw_files, args.raw_path) if len(files) == 0: - msgs.error('No files to read! Check --raw_files, --raw_path, and/or --ext input.') + msgs.error('No files to read! Check --raw_files and --raw_path input.') # TODO: Include an option to save the ingested file list as a PypeIt # RawFile that can be edited? @@ -780,10 +793,14 @@ def main(args): if any(sci_idx): # Generate science setup object sci_files = ps.fitstbl.frame_paths(sci_idx) - frametype = {Path(f).name : 'science' for f in sci_files} + use_type = 'arc,science,tilt' \ + if 'arc' in ps.fitstbl['frametype'][sci_idx][0] else 'science' + frametype = {Path(f).name : use_type for f in sci_files} if any(std_idx): std_files = ps.fitstbl.frame_paths(std_idx) - frametype = {**frametype, **{Path(f).name : 'standard' for f in std_files}} + use_type = 'arc,standard,tilt' \ + if 'arc' in ps.fitstbl['frametype'][std_idx][0] else 'standard' + frametype = {**frametype, **{Path(f).name : use_type for f in std_files}} sci_files += std_files ps_sci = pypeitsetup.PypeItSetup.from_rawfiles(sci_files, ps.spectrograph.name, frametype=frametype) @@ -793,9 +810,8 @@ def main(args): # automatically identify dithered observations for some # spectrographs. ps_sci.run(setup_only=True) -# if -# # TODO: Ensure that the file types are correct -# ps_sci.fitstbl['frametype'] = + + # TODO: Ensure that the file types are correct # Limit to a single setup if len(ps_sci.fitstbl.configs.keys()) > 1: @@ -920,6 +936,7 @@ def main(args): # Run pypeIt = pypeit.PypeIt(calib_pypeit_file, redux_path=str(redux_path), + reuse_calibs=not args.overwrite_calibs, calib_only=True) pypeIt.calib_all() @@ -933,9 +950,8 @@ def main(args): args.redux_path, setup_calib_dir, ps_sci, - calib_grp=args.calib_group, det=args.det, - clean=args.clean, + clear=args.clear_science, slitspatnum=args.slitspatnum, maskID=args.maskID, boxcar_radius=args.boxcar_radius, @@ -948,14 +964,14 @@ def main(args): # TODO: There are currently no tests for this!! # Perform coadding if requested - if args.coadd: + if args.coadd2d: # Run the setup script to get the baseline coadd2d file + # NOTE: By running the setup script with ``--keep_par`` flag, + # parameters that skip the sky subtraction and the optimal + # extraction should be propagated to the 2D coadding... # TODO: # - Add sensitivity function? - # - Allow SetupCoAdd2D to auto-detect dithers based on the pypeit - # file and parse/prepare the coadding offsets accordingly. Maybe - # this is effectively already done? - command_line_args = [sci_pypeit_file] + command_line_args = ['-f', sci_pypeit_file, '--keep_par'] if args.only_slits is not None: command_line_args += ['--only_slits'] + args.only_slits if args.offsets is not None: diff --git a/pypeit/scripts/setup_coadd2d.py b/pypeit/scripts/setup_coadd2d.py index 0b65942e39..c534399a94 100644 --- a/pypeit/scripts/setup_coadd2d.py +++ b/pypeit/scripts/setup_coadd2d.py @@ -15,7 +15,12 @@ def get_parser(cls, width=None): parser = super().get_parser( description='Prepare a configuration file for performing 2D coadds', width=width) - parser.add_argument('pypeit_file', type=str, default=None, help='PypeIt reduction file') + input_group = parser.add_mutually_exclusive_group(required=True) + input_group.add_argument('-f', '--pypeit_file', type=str, default=None, + help='PypeIt reduction file') + input_group.add_argument('-d', '--science_dir', type=str, default=None, + help='Directory with spec2d files to stack') + parser.add_argument('--keep_par', dest='clean_par', default=True, action='store_false', help='Propagate all parameters from the pypeit file to the coadd2d ' 'file(s). If not set, only the required parameters and their ' @@ -67,37 +72,52 @@ def main(args): from astropy.table import Table from pypeit import msgs + from pypeit import io from pypeit import utils from pypeit import inputfiles + from pypeit.spectrographs.util import load_spectrograph from pypeit.coadd2d import CoAdd2D - # Read the pypeit file - pypeitFile = inputfiles.PypeItFile.from_file(args.pypeit_file) - # Get the spectrograph instance and the parameters used - spec, par, _ = pypeitFile.get_pypeitpar() - # Get the Science directory used. - # NOTE: When [rdx][redux_path] isn't defined, the get_pypeitpar() - # function will use the current working directory. If the pypeit_file - # being source is in a different directory, this means that the Science - # directory won't be found. So first try to set the science directory - # based on the parameter value, then try to base it on the parent - # directory of the provided pypeit file. The latter is critical to the - # vet_test in the dev-suite. - sci_dir = Path(par['rdx']['redux_path']).resolve() / par['rdx']['scidir'] - if not sci_dir.exists(): - sci_dir = Path(args.pypeit_file).resolve().parent / par['rdx']['scidir'] + if args.pypeit_file is None: + pypeitFile = None + par = None + spec_name = None + sci_dir = Path(args.science_dir).resolve() + else: + # Read the pypeit file + pypeitFile = inputfiles.PypeItFile.from_file(args.pypeit_file) + # Get the spectrograph instance and the parameters used + spec, par, _ = pypeitFile.get_pypeitpar() + spec_name = spec.name + # Get the Science directory used. + # NOTE: When [rdx][redux_path] isn't defined, the get_pypeitpar() + # function will use the current working directory. If the pypeit_file + # being source is in a different directory, this means that the Science + # directory won't be found. So first try to set the science directory + # based on the parameter value, then try to base it on the parent + # directory of the provided pypeit file. The latter is critical to the + # vet_test in the dev-suite. + sci_dir = Path(par['rdx']['redux_path']).resolve() / par['rdx']['scidir'] if not sci_dir.exists(): - msgs.error(f'Science directory not found: {sci_dir}\n') + sci_dir = Path(args.pypeit_file).resolve().parent / par['rdx']['scidir'] + + if not sci_dir.exists(): + msgs.error(f'Science directory not found: {sci_dir}\n') # Find all the spec2d files: spec2d_files = sorted(sci_dir.glob('spec2d*')) if len(spec2d_files) == 0: msgs.error(f'No spec2d files found in {sci_dir}.') + if spec_name is None: + with io.fits_open(spec2d_files[0]) as hdu: + spec_name = hdu[0].header['PYP_SPEC'] + # Get the set of objects # TODO: Direct parsing of the filenames will be wrong if any of the # reduced files have dashes in them or if the objects have underscores. - objects = np.unique(pypeitFile.data['target'].data if 'target' in pypeitFile.data.keys() + objects = np.unique(pypeitFile.data['target'].data + if pypeitFile is not None and 'target' in pypeitFile.data.keys() else [f.name.split('-')[1].split('_')[0] for f in spec2d_files]) if args.obj is not None: # Limit to the selected objects @@ -123,14 +143,19 @@ def main(args): # Add the paths to make sure they match the pypeit file. # NOTE: cfg does *not* need to include the spectrograph parameter in # rdx. This is added by `CoAdd2D.default_par`. - cfg = {} if args.clean_par else dict(pypeitFile.config) - utils.add_sub_dict(cfg, 'rdx') - cfg['rdx']['redux_path'] = par['rdx']['redux_path'] - cfg['rdx']['scidir'] = par['rdx']['scidir'] - cfg['rdx']['qadir'] = par['rdx']['qadir'] - utils.add_sub_dict(cfg, 'calibrations') - cfg['calibrations']['calib_dir'] = par['calibrations']['calib_dir'] - # Add the offsets and weights + cfg = {} if args.clean_par or pypeitFile is None else dict(pypeitFile.config) + if par is None: + # This is only used to get the default offsets and weights (see below) + par = load_spectrograph(spec_name).default_pypeit_par() + utils.add_sub_dict(cfg, 'rdx') + cfg['rdx']['scidir'] = sci_dir.name + else: + utils.add_sub_dict(cfg, 'rdx') + cfg['rdx']['redux_path'] = par['rdx']['redux_path'] + cfg['rdx']['scidir'] = par['rdx']['scidir'] + cfg['rdx']['qadir'] = par['rdx']['qadir'] + utils.add_sub_dict(cfg, 'calibrations') + cfg['calibrations']['calib_dir'] = par['calibrations']['calib_dir'] utils.add_sub_dict(cfg, 'coadd2d') cfg['coadd2d']['offsets'] = par['coadd2d']['offsets'] \ if args.offsets is None else args.offsets @@ -138,7 +163,7 @@ def main(args): if args.weights is None else args.weights # Build the default parameters - cfg = CoAdd2D.default_par(spec.name, inp_cfg=cfg, det=args.det, slits=args.only_slits) + cfg = CoAdd2D.default_par(spec_name, inp_cfg=cfg, det=args.det, slits=args.only_slits) # Create a coadd2D file for each object # NOTE: Below expect all spec2d files have the same path From 750c403351672b81f0d9f4a3839c459180747c9c Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 9 May 2023 14:38:01 -0700 Subject: [PATCH 281/308] PR comments + doc update --- doc/help/pypeit_coadd_2dspec.rst | 15 ++++--- doc/help/pypeit_ql.rst | 66 ++++++++++++++----------------- doc/help/pypeit_setup_coadd2d.rst | 12 +++--- pypeit/find_objects.py | 7 ++-- 4 files changed, 46 insertions(+), 54 deletions(-) diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index 8da86081cf..53cb0d2e57 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -2,10 +2,9 @@ $ pypeit_coadd_2dspec -h usage: pypeit_coadd_2dspec [-h] [--show] [--debug_offsets] [--peaks] - [--basename BASENAME] + [--basename BASENAME] [--debug] [-v VERBOSITY] [--spec_samp_fact SPEC_SAMP_FACT] - [--spat_samp_fact SPAT_SAMP_FACT] [--debug] - [-v VERBOSITY] + [--spat_samp_fact SPAT_SAMP_FACT] coadd2d_file Coadd 2D spectra produced by PypeIt @@ -23,6 +22,11 @@ (default: False) --basename BASENAME Basename of files to save the parameters, spec1d, and spec2d (default: None) + --debug show debug plots? (default: False) + -v VERBOSITY, --verbosity VERBOSITY + Verbosity level between 0 [none] and 2 [all]. Default: + 1. Level 2 writes a log with filename + coadd_2dspec_YYYYMMDD-HHMM.log (default: 1) --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or coarser (spec_samp_fact > 1.0) by this sampling factor, @@ -31,9 +35,4 @@ Make the spatial grid finer (spat_samp_fact < 1.0) or coarser (spat_samp_fact > 1.0) by this sampling factor, i.e. units of spat_samp_fact are pixels. (default: 1.0) - --debug show debug plots? (default: False) - -v VERBOSITY, --verbosity VERBOSITY - Verbosity level between 0 [none] and 2 [all]. Default: - 1. Level 2 writes a log with filename - coadd_2dspec_YYYYMMDD-HHMM.log (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index eec300bcf7..f02e25d753 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -2,17 +2,15 @@ $ pypeit_ql -h usage: pypeit_ql [-h] [--raw_files RAW_FILES [RAW_FILES ...]] - [--raw_path RAW_PATH] [--ext EXT] - [--sci_files SCI_FILES [SCI_FILES ...]] + [--raw_path RAW_PATH] [--sci_files SCI_FILES [SCI_FILES ...]] [--redux_path REDUX_PATH] [--parent_calib_dir PARENT_CALIB_DIR] - [--setup_calib_dir SETUP_CALIB_DIR] [--calib_group CALIB_GROUP] - [--clean] [--calibs_only] [--overwrite_calibs] + [--setup_calib_dir SETUP_CALIB_DIR] [--clear_science] + [--calibs_only] [--overwrite_calibs] [--det DET [DET ...]] [--slitspatnum SLITSPATNUM] [--maskID MASKID] - [--boxcar_radius BOXCAR_RADIUS] [--det DET [DET ...]] - [--ignore_std] [--snr_thresh SNR_THRESH] [--skip_display] - [--coadd] [--only_slits ONLY_SLITS [ONLY_SLITS ...]] - [--offsets OFFSETS] [--weights WEIGHTS] - [--spec_samp_fact SPEC_SAMP_FACT] + [--boxcar_radius BOXCAR_RADIUS] [--snr_thresh SNR_THRESH] + [--ignore_std] [--skip_display] [--coadd2d] + [--only_slits ONLY_SLITS [ONLY_SLITS ...]] [--offsets OFFSETS] + [--weights WEIGHTS] [--spec_samp_fact SPEC_SAMP_FACT] [--spat_samp_fact SPAT_SAMP_FACT] spectrograph @@ -51,16 +49,13 @@ --raw_path RAW_PATH Directory with the raw files to process. Ignored if a PypeIt-formatted file is provided using the --rawfiles option. (default: current working directory) - --ext EXT If raw file names are not provided directly using the - --rawfiles option, this sets the extension used when - searching for any files in the path defined by - --raw_path. All files found in the raw path with this - extension will be processed. (default: .fits) --sci_files SCI_FILES [SCI_FILES ...] A space-separated list of raw file names that are science exposures. These files must *also* be in the list of raw files. Use of this option overrides the - automated PypeIt frame typing. (default: None) + automated PypeIt frame typing. Should only be used of + automatic frame typing fails or is undesirable. + (default: None) --redux_path REDUX_PATH Path for the QL reduction outputs. (default: current working directory) @@ -81,25 +76,14 @@ of the provided data, the code will construct new calibrations (assuming relevant raw files are provided). (default: None) - --calib_group CALIB_GROUP - If the calibration directory contains results from more - than one calibration group, you *must* specify which one - to use. The code will fault otherwise. (default: None) - --clean Remove the existing output directories to force a fresh - reduction. If False, any existing directory structure - will remain, but any existing science files will still - be overwritten. (default: False) + --clear_science Remove the existing output science directories to force + a fresh reduction. If False, any existing directory + structure will remain, and any alterations to existing + science files will follow the normal behavior of + run_pypeit. (default: False) --calibs_only Reduce only the calibrations? (default: False) - --overwrite_calibs Overwrite any existing calibration files? (default: - False) - --slitspatnum SLITSPATNUM - Reduce the slit(s) as specified by the slitspatnum - value(s) (default: None) - --maskID MASKID Reduce the slit(s) as specified by the maskID value(s) - (default: None) - --boxcar_radius BOXCAR_RADIUS - Set the radius for the boxcar extraction in arcseconds - (default: None) + --overwrite_calibs Re-process and overwrite any existing calibration files. + (default: False) --det DET [DET ...] A space-separated set of detectors or detector mosaics to reduce. By default, *all* detectors or default mosaics for this instrument will be reduced. Detectors @@ -109,16 +93,24 @@ and 5 for Keck/DEIMOS, you would use --det 1 5; to reduce mosaics made up of detectors 1,5 and 3,7, you would use --det 1,5 3,7 (default: None) + --slitspatnum SLITSPATNUM + Reduce the slit(s) as specified by the slitspatnum + value(s) (default: None) + --maskID MASKID Reduce the slit(s) as specified by the maskID value(s) + (default: None) + --boxcar_radius BOXCAR_RADIUS + Set the radius for the boxcar extraction in arcseconds + (default: None) + --snr_thresh SNR_THRESH + Change the default S/N threshold used during source + detection (default: None) --ignore_std If standard star observations are automatically detected, ignore those frames. Otherwise, they are included with the reduction of the science frames. (default: False) - --snr_thresh SNR_THRESH - Change the default S/N threshold used during source - detection (default: None) --skip_display Run the quicklook without displaying any results. (default: True) - --coadd Perform default 2D coadding. (default: False) + --coadd2d Perform default 2D coadding. (default: False) --only_slits ONLY_SLITS [ONLY_SLITS ...] If coadding, only coadd this space-separated set of slits. If not provided, all slits are coadded. (default: diff --git a/doc/help/pypeit_setup_coadd2d.rst b/doc/help/pypeit_setup_coadd2d.rst index 2bd623cbe0..505042b1ae 100644 --- a/doc/help/pypeit_setup_coadd2d.rst +++ b/doc/help/pypeit_setup_coadd2d.rst @@ -1,19 +1,19 @@ .. code-block:: console $ pypeit_setup_coadd2d -h - usage: pypeit_setup_coadd2d [-h] [--keep_par] [--obj OBJ [OBJ ...]] - [--det DET [DET ...]] + usage: pypeit_setup_coadd2d [-h] (-f PYPEIT_FILE | -d SCIENCE_DIR) [--keep_par] + [--obj OBJ [OBJ ...]] [--det DET [DET ...]] [--only_slits ONLY_SLITS [ONLY_SLITS ...]] [--offsets OFFSETS] [--weights WEIGHTS] - pypeit_file Prepare a configuration file for performing 2D coadds - positional arguments: - pypeit_file PypeIt reduction file - options: -h, --help show this help message and exit + -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE + PypeIt reduction file (default: None) + -d SCIENCE_DIR, --science_dir SCIENCE_DIR + Directory with spec2d files to stack (default: None) --keep_par Propagate all parameters from the pypeit file to the coadd2d file(s). If not set, only the required parameters and their default values are included in the diff --git a/pypeit/find_objects.py b/pypeit/find_objects.py index 489b4c8022..a3e8704527 100644 --- a/pypeit/find_objects.py +++ b/pypeit/find_objects.py @@ -333,16 +333,17 @@ def run(self, std_trace=None, show_peaks=False, show_skysub_fit=False): initial_sky0 = self.global_skysub(skymask=self.initial_skymask, update_crmask=False, objs_not_masked=True, show_fit=show_skysub_fit) # First pass object finding - save_objfindQA = self.par['reduce']['findobj']['skip_second_find'] | self.std_redux + save_objfindQA = self.par['reduce']['findobj']['skip_second_find'] | self.std_redux \ + | self.initial_skymask is None sobjs_obj, self.nobj = \ self.find_objects(self.sciImg.image-initial_sky0, self.sciImg.ivar, std_trace=std_trace, show_peaks=show_peaks, show=self.findobj_show and not self.std_redux, save_objfindQA=save_objfindQA) - if self.nobj == 0 or self.initial_skymask is None: + if self.nobj == 0 or self.initial_skymask is not None: # Either no objects were found, or the initial sky mask was provided by the user. # Either way, don't don't redo global sky subtraction - msgs.info('Either no objecsts were found or a user-provided sky mask was used. ' + msgs.info('Either no objects were found or a user-provided sky mask was used. ' 'Skipping second pass of sky-subtraction and object finding.') return initial_sky0, sobjs_obj From b013d562f986d9eab64e83fcdcedf3e705c6f0ab Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Tue, 9 May 2023 16:48:29 -0700 Subject: [PATCH 282/308] bug fix --- pypeit/find_objects.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/find_objects.py b/pypeit/find_objects.py index a3e8704527..c9370d4a40 100644 --- a/pypeit/find_objects.py +++ b/pypeit/find_objects.py @@ -333,8 +333,8 @@ def run(self, std_trace=None, show_peaks=False, show_skysub_fit=False): initial_sky0 = self.global_skysub(skymask=self.initial_skymask, update_crmask=False, objs_not_masked=True, show_fit=show_skysub_fit) # First pass object finding - save_objfindQA = self.par['reduce']['findobj']['skip_second_find'] | self.std_redux \ - | self.initial_skymask is None + save_objfindQA = self.par['reduce']['findobj']['skip_second_find'] or self.std_redux \ + or self.initial_skymask is not None sobjs_obj, self.nobj = \ self.find_objects(self.sciImg.image-initial_sky0, self.sciImg.ivar, std_trace=std_trace, show_peaks=show_peaks, show=self.findobj_show and not self.std_redux, From ea5711b6015640f30947ef6fccd687c8772588b6 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Wed, 10 May 2023 13:16:46 -1000 Subject: [PATCH 283/308] added chk_tilts docs --- doc/api/pypeit.scripts.chk_tilts.rst | 8 +++ doc/api/pypeit.scripts.rst | 1 + doc/calibrations/tilts.rst | 55 +++++++++++++++++--- doc/figures/pypeit_chk_tilts.png | Bin 0 -> 246037 bytes doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 2 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_tilts.rst | 21 ++++++++ doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 2 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 2 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_calibs.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 2 +- doc/help/pypeit_ql_multislit.rst | 5 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 2 +- doc/help/pypeit_setup_coadd2d.rst | 2 +- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 2 +- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 4 +- doc/include/class_datamodel_wavetilts.rst | 31 ++++++----- doc/include/datamodel_wavetilts.rst | 2 +- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos.sorted.rst | 8 +-- doc/include/keck_deimos_A.pypeit.rst | 2 +- doc/include/keck_nires_A.pypeit.rst | 2 +- doc/include/shane_kast_blue_A.pypeit.rst | 2 +- doc/pypeit_par.rst | 60 +++++++++++----------- doc/scripts.rst | 15 +++++- pypeit/core/datacube.py | 20 ++++---- pypeit/display/display.py | 9 ++-- pypeit/pypeit.py | 2 +- pypeit/scripts/__init__.py | 1 + pypeit/wavetilts.py | 6 +-- 58 files changed, 210 insertions(+), 120 deletions(-) create mode 100644 doc/api/pypeit.scripts.chk_tilts.rst create mode 100644 doc/figures/pypeit_chk_tilts.png create mode 100644 doc/help/pypeit_chk_tilts.rst diff --git a/doc/api/pypeit.scripts.chk_tilts.rst b/doc/api/pypeit.scripts.chk_tilts.rst new file mode 100644 index 0000000000..8e5ad4d8b3 --- /dev/null +++ b/doc/api/pypeit.scripts.chk_tilts.rst @@ -0,0 +1,8 @@ +pypeit.scripts.chk\_tilts module +================================ + +.. automodule:: pypeit.scripts.chk_tilts + :members: + :private-members: + :undoc-members: + :show-inheritance: diff --git a/doc/api/pypeit.scripts.rst b/doc/api/pypeit.scripts.rst index 37753e573d..f6765004a8 100644 --- a/doc/api/pypeit.scripts.rst +++ b/doc/api/pypeit.scripts.rst @@ -14,6 +14,7 @@ Submodules pypeit.scripts.chk_for_calibs pypeit.scripts.chk_noise_1dspec pypeit.scripts.chk_noise_2dspec + pypeit.scripts.chk_tilts pypeit.scripts.chk_wavecalib pypeit.scripts.coadd_1dspec pypeit.scripts.coadd_2dspec diff --git a/doc/calibrations/tilts.rst b/doc/calibrations/tilts.rst index ef8e4e21ce..08c4192d10 100644 --- a/doc/calibrations/tilts.rst +++ b/doc/calibrations/tilts.rst @@ -19,14 +19,52 @@ See :ref:`calib-naming` for the naming convention. Inspecting ========== -At present, the only way to examine the quality of this -step is by viewing the PNG files generated by the code. -:doc:`../qa` describes how to access them. +To examine the quality of this step the user can run the `pypeit_chk_tilts`_ script, +or inspect the PNG files generated by the code. :doc:`../qa` describes how to access them. + + +.. _pypeit_chk_tilts: + +pypeit_chk_tilts +---------------- + +There are currently 2 options for viewing the traced and 2D fitted tilts on the image +used to construct them. Each uses the `pypeit_chk_tilts`_ script. + +ginga ++++++ + +This is the default mode when executing, e.g.: + +.. code-block:: console + + pypeit_chk_tilts Calibrations/Tilts_A_0_DET01.fits + +The :doc:`tilt` image is shown in ginga with the traced and 2D fitted tilts over-plotted. + + +Here is a zoom-in screen shot for the ``shane_kast_red`` spectrograph. + +.. image:: ../figures/pypeit_chk_tilts.png + +You want to check that the traced and 2D fitted tilts overlay well on the arc/OH lines. + +matplotlib +++++++++++ + +To avoid ginga, use the `--mpl` flag: + +.. code-block:: console + + pypeit_chk_tilts Calibrations/Tilts_A_0_DET01.fits --mpl + +QA PNG files +------------ There are 3 PNG files generated per slit: 2D Arc Tilts ------------- +++++++++++++ This QA shows the spectral vs. spatial positions of all the lines traced by the code. Here is an example @@ -52,7 +90,7 @@ Of course, this will be the case for spectrographs that have data which does not span the full detector. Spat Tilts ----------- +++++++++++ This QA examines the residuals of (tilt position - model) as a function of spatial offset along the slit. Here @@ -66,7 +104,7 @@ significant residuals at the edges of the slit (as in this example). Spec Tilts ----------- +++++++++++ This QA examines the residuals of (tilt position - model) as a function of spetral offset along the slit. 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================================================================================================================================================================================================================================================================================================================================================================================================================== +========================= ========== ======= ======================================= ================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +========================= ========== ======= ======================================= ================================================================================================================================================================================================================================================================================================================================================================================================================== +``dry_run`` bool .. False If set, the script will display the matching File and Object Ids but will not flux, coadd or archive. +``exclude_serendip`` bool .. False Whether to exclude SERENDIP objects from collating. +``exclude_slit_trace_bm`` list, str .. [] A list of slit trace bitmask bits that should be excluded. +``flux`` bool .. False If set, the script will flux calibrate using archived sensfuncs before coadding. +``ignore_flux`` bool .. False If set, the script will only coadd non-fluxed spectra even if flux data is present. Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated. +``match_using`` str .. ``ra/dec`` Determines how 1D spectra are matched as being the same object. Must be either 'pixel' or 'ra/dec'. +``outdir`` str .. ``/Users/dpelliccia/PypeIt/PypeIt/doc`` The path where all coadded output files and report files will be placed. +``refframe`` str .. .. Perform reference frame correction prior to coadding. Options are: observed, heliocentric, barycentric +``spec1d_outdir`` str .. .. The path where all modified spec1d files are placed. These are only created if flux calibration or refframe correction are asked for. +``tolerance`` str, float .. ``1.0`` The tolerance used when comparing the coordinates of objects. If two objects are within this distance from each other, they are considered the same object. If match_using is 'ra/dec' (the default) this is an angular distance. The defaults units are arcseconds but other units supported by astropy.coordinates.Angle can be used (`e.g.`, '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float. +``wv_rms_thresh`` float .. .. If set, any objects with a wavelength RMS > this value are skipped, else all wavelength RMS values are accepted. +========================= ========== ======= ======================================= ================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -608,21 +608,21 @@ ReduxPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.ReduxPar` -====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== -``calwin`` int, float .. 0 The window of time in hours to search for calibration frames for a science frame -``detnum`` int, list .. .. Restrict reduction to a list of detector indices. In case of mosaic reduction (currently only available for Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of tuples of the detector indices that are mosaiced together. E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` -``ignore_bad_headers`` bool .. False Ignore bad headers (NOT recommended unless you know it is safe). -``maskIDs`` str, int, list .. .. Restrict reduction to a set of slitmask IDs Example syntax -- ``maskIDs = 818006,818015`` This must be used with detnum (for now). -``qadir`` str .. ``QA`` Directory relative to calling directory to write quality assessment files. -``quicklook`` bool .. False Run a quick look reduction? This is usually good if you want to quickly reduce the data (usually at the telescope in real time) to get an initial estimate of the data quality. -``redux_path`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` Path to folder for performing reductions. Default is the current working directory. -``scidir`` str .. ``Science`` Directory relative to calling directory to write science files. -``slitspatnum`` str, list .. .. Restrict reduction to a set of slit DET:SPAT values (closest slit is used). Example syntax -- slitspatnum = DET01:175,DET01:205 or MSC02:2234 If you are re-running the code, (i.e. modifying one slit) you *must* have the precise SPAT_ID index. -``sortroot`` str .. .. A filename given to output the details of the sorted files. If None, the default is the root name of the pypeit file. If off, no output is produced. -``spectrograph`` str .. .. Spectrograph that provided the data to be reduced. See :ref:`instruments` for valid options. -====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== +====================== ============== ======= ======================================= =============================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +====================== ============== ======= ======================================= =============================================================================================================================================================================================================================================================================================================================================================== +``calwin`` int, float .. 0 The window of time in hours to search for calibration frames for a science frame +``detnum`` int, list .. .. Restrict reduction to a list of detector indices. In case of mosaic reduction (currently only available for Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of tuples of the detector indices that are mosaiced together. E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` +``ignore_bad_headers`` bool .. False Ignore bad headers (NOT recommended unless you know it is safe). +``maskIDs`` str, int, list .. .. Restrict reduction to a set of slitmask IDs Example syntax -- ``maskIDs = 818006,818015`` This must be used with detnum (for now). +``qadir`` str .. ``QA`` Directory relative to calling directory to write quality assessment files. +``quicklook`` bool .. False Run a quick look reduction? This is usually good if you want to quickly reduce the data (usually at the telescope in real time) to get an initial estimate of the data quality. +``redux_path`` str .. ``/Users/dpelliccia/PypeIt/PypeIt/doc`` Path to folder for performing reductions. Default is the current working directory. +``scidir`` str .. ``Science`` Directory relative to calling directory to write science files. +``slitspatnum`` str, list .. .. Restrict reduction to a set of slit DET:SPAT values (closest slit is used). Example syntax -- slitspatnum = DET01:175,DET01:205 or MSC02:2234 If you are re-running the code, (i.e. modifying one slit) you *must* have the precise SPAT_ID index. +``sortroot`` str .. .. A filename given to output the details of the sorted files. If None, the default is the root name of the pypeit file. If off, no output is produced. +``spectrograph`` str .. .. Spectrograph that provided the data to be reduced. See :ref:`instruments` for valid options. +====================== ============== ======= ======================================= =============================================================================================================================================================================================================================================================================================================================================================== ---- diff --git a/doc/scripts.rst b/doc/scripts.rst index a0024fa504..0b0a72cefd 100644 --- a/doc/scripts.rst +++ b/doc/scripts.rst @@ -501,7 +501,7 @@ solutions. Here is a standard call: pypeit_show_wvcalib WaveCalib_A_1_DET01.fits 17 --is_order # for magellan_mage -This launches a `matplotlib`_` GUI plot of Order=17 for the magellan_mage spectrograph. +This launches a `matplotlib`_ GUI plot of Order=17 for the magellan_mage spectrograph. The script usage can be displayed by calling the script with the ``-h`` option: @@ -519,6 +519,19 @@ The script usage can be displayed by calling the script with the .. include:: help/pypeit_show_arxiv.rst +pypeit_chk_tilts +---------------- + +This script displays Tiltimg and 2D fitted tilts in a `ginga`_ viewer or `matplotlib`_ window, +allowing to assess the quality of the tilts calibration. See :ref:`pypeit_chk_tilts` +for more details. + +The script usage can be displayed by calling the script with the +``-h`` option: + +.. include:: help/pypeit_chk_tilts.rst + + pypeit_chk_flats ---------------- diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index cfcceea208..a8569000f9 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1019,7 +1019,7 @@ def generate_cube_subpixel(outfile, output_wcs, all_sci, all_ivar, all_wghts, al and better looking cubes, versus no sampling and better behaved errors. Args: - outfile (`str`): + outfile (str): Filename to be used to save the datacube output_wcs (`astropy.wcs.wcs.WCS`_): Output world coordinate system. @@ -1029,28 +1029,28 @@ def generate_cube_subpixel(outfile, output_wcs, all_sci, all_ivar, all_wghts, al 1D flattened array containing the inverse variance of each pixel from all spec2d files all_wghts (`numpy.ndarray`_): 1D flattened array containing the weights of each pixel to be used in the combination - all_wave (`numpy.ndarray`_) + all_wave (`numpy.ndarray`_): 1D flattened array containing the wavelength of each pixel (units = Angstroms) - tilts (`numpy.ndarray`_) + tilts (`numpy.ndarray`_): 2D wavelength tilts frame - slits (:class:`pypeit.slittrace.SlitTraceSet`_) + slits (:class:`pypeit.slittrace.SlitTraceSet`): Information stored about the slits - slitid_img_gpm (`numpy.ndarray`_) + slitid_img_gpm (`numpy.ndarray`_): An image indicating which pixels belong to a slit (0 = not on a slit or a masked pixel). Any positive value indicates the spatial ID of the pixel. - astrom_trans (:class:`pypeit.alignframe.AlignmentSplines`_): + astrom_trans (:class:`pypeit.alignframe.AlignmentSplines`): A Class containing the transformation between detector pixel coordinates and WCS pixel coordinates bins (tuple): A 3-tuple (x,y,z) containing the histogram bin edges in x,y spatial and z wavelength coordinates - spec_subpixel (`int`, optional): + spec_subpixel (int, optional): What is the subpixellation factor in the spectral direction. Higher values give more reliable results, but note that the time required goes as (spec_subpixel * spat_subpixel). The default value is 5, which divides each detector pixel into 5 subpixels in the spectral direction. - spat_subpixel (`int`, optional): + spat_subpixel (int, optional): What is the subpixellation factor in the spatial direction. Higher values give more reliable results, but note that the time required goes as (spec_subpixel * spat_subpixel). The default value is 5, which divides each detector pixel into 5 subpixels in the spatial direction. - overwrite (`bool`, optional): + overwrite (bool, optional): If True, the output cube will be overwritten. blaze_wave (`numpy.ndarray`_, optional): Wavelength array of the spectral blaze function @@ -1063,7 +1063,7 @@ def generate_cube_subpixel(outfile, output_wcs, all_sci, all_ivar, all_wghts, al Sensitivity function that has been applied to the datacube specname (str, optional): Name of the spectrograph - debug (bool): + debug (bool, optional): If True, a residuals cube will be output. If the datacube generation is correct, the distribution of pixels in the residual cube with no flux should have mean=0 and std=1. """ diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 6267cad2ed..0d388deae8 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -444,13 +444,13 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= def show_trace(viewer, ch, trace, trc_name=None, maskdef_extr=None, manual_extr=None, clear=False, rotate=False, pstep=50, yval=None): - """ + r""" Args: viewer (ginga.util.grc.RemoteClient): - Ginga RC viewer + Ginga RC viewer. ch (ginga.util.grc._channel_proxy): - Ginga channel + Ginga channel. trace (`numpy.ndarray`_): Array with spatial position of the object traces on the detector. Shape must be :math:`(N_{\rm spec},)` or :math:`(N_{\rm spec}, N_{\rm trace})`. @@ -465,8 +465,7 @@ def show_trace(viewer, ch, trace, trc_name=None, maskdef_extr=None, manual_extr= rotate (:obj:`bool`, optional): Rotate the image? pstep (:obj:`bool`, optional): - Show every pstep point of the edges as opposed to *every* - point, recommended for speed. + Show every pstep point of the edges as opposed to *every* point, recommended for speed. yval (`numpy.ndarray`_, optional): Array with spectral position of the object traces. Shape must be :math:`(N_{\rm spec},)` or :math:`(N_{\rm spec}, N_{\rm trace})`. If not passed in, the default of diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index fd3c0c6cc5..1d1f69c5e5 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -453,7 +453,7 @@ def select_detectors(spectrograph, detnum, slitspatnum=None): :class:`~pypeit.par.pypeitpar.ReduxPar` parameters. Args: - spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph): + spectrograph (:class:`~pypeit.spectrographs.spectrograph.Spectrograph`): Spectrograph instance that defines the allowed detectors/mosaics. detnum (:obj:`int`, :obj:`tuple`): diff --git a/pypeit/scripts/__init__.py b/pypeit/scripts/__init__.py index 5fbbf5b033..e5acdffcd1 100644 --- a/pypeit/scripts/__init__.py +++ b/pypeit/scripts/__init__.py @@ -8,6 +8,7 @@ from pypeit.scripts import chk_alignments from pypeit.scripts import chk_edges from pypeit.scripts import chk_flats +from pypeit.scripts import chk_tilts from pypeit.scripts import chk_for_calibs from pypeit.scripts import chk_noise_1dspec from pypeit.scripts import chk_noise_2dspec diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index ac0bb560aa..c9838865a2 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -925,16 +925,16 @@ def show_tilts_mpl(tilt_img, tilt_traces, show_traces=False, left_edges=None, """Show the TiltImage with the traced and 2D fitted tilts overlaid Args: - tilt_img (`np.ndarray`_): + tilt_img (`numpy.ndarray`_): TiltImage tilt_traces (`astropy.table.Table`_): Table containing the traced and fitted tilts. See :func:`make_tbl_tilt_traces` for information on the table columns. show_traces (bool, optional): Show the traced tilts - left_edges, right_edges (`np.ndarray`_, optional): + left_edges, right_edges (`numpy.ndarray`_, optional): Left and right edges of the slits - slit_ids (`np.ndarray`_, optional): + slit_ids (`numpy.ndarray`_, optional): Slit IDs cut (tuple, optional): Lower and upper levels cut for the image display From 36210cc965fb9d492ee743f85e1482d943525561 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Thu, 11 May 2023 14:59:34 -0700 Subject: [PATCH 284/308] Last changes --- pypeit/spectrographs/ldt_deveny.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 5a24d453db..cdeb900074 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -151,7 +151,7 @@ def compound_meta(self, headarr:list, meta_key:str) -> object: :obj:`object`: Metadata value read from the header(s). """ if meta_key == 'binning': - # Binning in lois headers is space-separated (like Gemini). + # Binning in lois headers is space-separated binspec, binspatial = parse.parse_binning(headarr[0]['CCDSUM']) return parse.binning2string(binspec, binspatial) @@ -464,7 +464,7 @@ def config_specific_par(self, scifile, inp_par=None): # Adjust parameters based on DeVeny grating used grating = self.get_meta_value(scifile, 'dispname') - # How to compute resolving power on the fly? (From p200_dbsp) + # TODO: Compute resolving power on the fly (e.g., from p200_dbsp) # par['sensfunc']['UVIS']['resolution'] = resolving_power.decompose().value if grating == 'DV1 (150/5000)': @@ -556,8 +556,8 @@ def config_specific_par(self, scifile, inp_par=None): par['flexure']['spec_maxshift'] //= binspec # Must be an integer par['sensfunc']['UVIS']['resolution'] /= binspec - # SlitEdges Exclusion Regions (10 pixels at each edge) -- adjust based on binning - excl_l, excl_r, last = np.array([10, 505, 515], dtype=int) // binspat + # SlitEdges Exclusion Regions (30 pixels at each edge) -- adjust based on binning + excl_l, excl_r, last = np.array([30, 485, 515], dtype=int) // binspat par['calibrations']['slitedges']['exclude_regions'] = f"1:0:{excl_l},1:{excl_r}:{last}" return par @@ -673,11 +673,11 @@ def tweak_standard(self, wave_in, counts_in, counts_ivar_in, gpm_in, meta_table) Output good pixel mask for standard (:obj:`bool`, ``shape = (nspec,)``) """ # First, simply chop off the wavelengths outside physical limits: - beyond = (wave_in < 2900.0) | (wave_in > 11000.0) - wave_out = wave_in[np.logical_not(beyond)] - counts_out = counts_in[np.logical_not(beyond)] - counts_ivar_out = counts_ivar_in[np.logical_not(beyond)] - gpm_out = gpm_in[np.logical_not(beyond)] + valid_wave = (wave_in >= 2900.0) & (wave_in <= 11000.0) + wave_out = wave_in[valid_wave] + counts_out = counts_in[valid_wave] + counts_ivar_out = counts_ivar_in[valid_wave] + gpm_out = gpm_in[valid_wave] # Next, build a gpm based on other reasonable wavelengths and filters edge_region = (wave_out < 3000.0) | (wave_out > 10200.0) From c54ddc209ea0cec6eace43c2f8d8a7de93bdfe34 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 12 May 2023 09:45:53 -0700 Subject: [PATCH 285/308] Remove parameters from deprecated wavecal methods Remove `IDpixels` and `IDwaves` from the `WavelengthSolutionPar` since they were used with older wavecal methods previously deprecated. This cleans up the documentation a bit. modified: doc/pypeit_par.rst modified: pypeit/par/pypeitpar.py --- doc/pypeit_par.rst | 2 -- pypeit/par/pypeitpar.py | 10 ++-------- 2 files changed, 2 insertions(+), 10 deletions(-) diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 02071e0435..240450d0aa 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -435,8 +435,6 @@ Class Instantiation: :class:`~pypeit.par.pypeitpar.WavelengthSolutionPar` ==================== ========================= ============================================================================ ================ ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= Key Type Options Default Description ==================== ========================= ============================================================================ ================ ============================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================= -``IDpixels`` int, float, list .. .. One or more pixels at which to manually identify a line -``IDwaves`` int, float, list .. .. Wavelengths of the manually identified lines ``cc_local_thresh`` float .. 0.7 Threshold for the *local* cross-correlation coefficient, evaluated at each reidentified line, between an input spectrum and the shifted and stretched archive spectrum above which a line must be to be considered a good line for reidentification. The local cross-correlation is evaluated at each candidate reidentified line (using a window of nlocal_cc), and is then used to score the the reidentified lines to arrive at the final set of good reidentifications. ``cc_thresh`` float, list, ndarray .. 0.7 Threshold for the *global* cross-correlation coefficient between an input spectrum and member of the archive required to attempt reidentification. Spectra from the archive with a lower cross-correlation are not used for reidentification. This can be a single number or a list/array providing the value for each slit. ``ech_norder_coeff`` int .. 4 For echelle spectrographs, this is the order of the final 2d fit to the order dimension. diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index b1758c9ce2..0eb919114b 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -2449,7 +2449,7 @@ def __init__(self, reference=None, method=None, echelle=None, ech_nspec_coeff=No nreid_min=None, cc_thresh=None, cc_local_thresh=None, nlocal_cc=None, rms_threshold=None, match_toler=None, func=None, n_first=None, n_final=None, sigrej_first=None, sigrej_final=None, numsearch=None, - nfitpix=None, IDpixels=None, IDwaves=None, refframe=None, + nfitpix=None, refframe=None, nsnippet=None, use_instr_flag=None, wvrng_arxiv=None, ech_separate_2d=None): @@ -2680,12 +2680,6 @@ def __init__(self, reference=None, method=None, echelle=None, ech_nspec_coeff=No descr['nfitpix'] = 'Number of pixels to fit when deriving the centroid of the arc ' \ 'lines (an odd number is best)' - dtypes['IDpixels'] = [int, float, list] - descr['IDpixels'] = 'One or more pixels at which to manually identify a line' - - dtypes['IDwaves'] = [int, float, list] - descr['IDwaves'] = 'Wavelengths of the manually identified lines' - # TODO: What should the default be? None or 'heliocentric'? defaults['refframe'] = 'heliocentric' options['refframe'] = WavelengthSolutionPar.valid_reference_frames() @@ -2710,7 +2704,7 @@ def from_dict(cls, cfg): 'fwhm', 'fwhm_fromlines', 'reid_arxiv', 'nreid_min', 'cc_thresh', 'cc_local_thresh', 'nlocal_cc', 'rms_threshold', 'match_toler', 'func', 'n_first','n_final', 'sigrej_first', 'sigrej_final', 'numsearch', 'nfitpix', - 'IDpixels', 'IDwaves', 'refframe', 'nsnippet', 'use_instr_flag', + 'refframe', 'nsnippet', 'use_instr_flag', 'wvrng_arxiv'] badkeys = np.array([pk not in parkeys for pk in k]) From e0c99b57717de4e40f29a1c85833d0a8c04aca51 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 12 May 2023 11:03:18 -0700 Subject: [PATCH 286/308] PR Comments modified: pypeit/bitmask.py modified: pypeit/extraction.py modified: pypeit/io.py modified: pypeit/metadata.py modified: pypeit/scripts/setup.py modified: pypeit/spectrographs/bok_bc.py modified: pypeit/spectrographs/gemini_flamingos.py modified: pypeit/spectrographs/gemini_gmos.py modified: pypeit/spectrographs/gemini_gnirs.py modified: pypeit/spectrographs/gtc_osiris.py modified: pypeit/spectrographs/jwst_nircam.py modified: pypeit/spectrographs/jwst_nirspec.py modified: pypeit/spectrographs/keck_deimos.py modified: pypeit/spectrographs/keck_hires.py modified: pypeit/spectrographs/keck_kcwi.py modified: pypeit/spectrographs/keck_lris.py modified: pypeit/spectrographs/keck_mosfire.py modified: pypeit/spectrographs/keck_nires.py modified: pypeit/spectrographs/keck_nirspec.py modified: pypeit/spectrographs/lbt_luci.py modified: pypeit/spectrographs/lbt_mods.py modified: pypeit/spectrographs/ldt_deveny.py modified: pypeit/spectrographs/magellan_fire.py modified: pypeit/spectrographs/magellan_mage.py modified: pypeit/spectrographs/mdm_osmos.py modified: pypeit/spectrographs/mmt_binospec.py modified: pypeit/spectrographs/mmt_bluechannel.py modified: pypeit/spectrographs/mmt_mmirs.py modified: pypeit/spectrographs/not_alfosc.py modified: pypeit/spectrographs/ntt_efosc2.py modified: pypeit/spectrographs/p200_dbsp.py modified: pypeit/spectrographs/p200_tspec.py modified: pypeit/spectrographs/shane_kast.py modified: pypeit/spectrographs/soar_goodman.py modified: pypeit/spectrographs/spectrograph.py modified: pypeit/spectrographs/tng_dolores.py modified: pypeit/spectrographs/util.py modified: pypeit/spectrographs/vlt_fors.py modified: pypeit/spectrographs/vlt_sinfoni.py modified: pypeit/spectrographs/vlt_xshooter.py modified: pypeit/spectrographs/wht_isis.py modified: pypeit/tests/test_bitmask.py --- pypeit/bitmask.py | 6 ++-- pypeit/extraction.py | 6 ++++ pypeit/io.py | 29 +++++++++--------- pypeit/metadata.py | 2 +- pypeit/scripts/setup.py | 2 +- pypeit/spectrographs/bok_bc.py | 10 +++---- pypeit/spectrographs/gemini_flamingos.py | 8 ++--- pypeit/spectrographs/gemini_gmos.py | 24 +++++++-------- pypeit/spectrographs/gemini_gnirs.py | 10 +++---- pypeit/spectrographs/gtc_osiris.py | 16 +++++----- pypeit/spectrographs/jwst_nircam.py | 4 +-- pypeit/spectrographs/jwst_nirspec.py | 4 +-- pypeit/spectrographs/keck_deimos.py | 18 +++++------ pypeit/spectrographs/keck_hires.py | 12 ++++---- pypeit/spectrographs/keck_kcwi.py | 10 +++---- pypeit/spectrographs/keck_lris.py | 32 ++++++++++---------- pypeit/spectrographs/keck_mosfire.py | 10 +++---- pypeit/spectrographs/keck_nires.py | 8 ++--- pypeit/spectrographs/keck_nirspec.py | 8 ++--- pypeit/spectrographs/lbt_luci.py | 12 ++++---- pypeit/spectrographs/lbt_mods.py | 18 +++++------ pypeit/spectrographs/ldt_deveny.py | 12 ++++---- pypeit/spectrographs/magellan_fire.py | 8 ++--- pypeit/spectrographs/magellan_mage.py | 4 +-- pypeit/spectrographs/mdm_osmos.py | 8 ++--- pypeit/spectrographs/mmt_binospec.py | 8 ++--- pypeit/spectrographs/mmt_bluechannel.py | 10 +++---- pypeit/spectrographs/mmt_mmirs.py | 8 ++--- pypeit/spectrographs/not_alfosc.py | 8 ++--- pypeit/spectrographs/ntt_efosc2.py | 8 ++--- pypeit/spectrographs/p200_dbsp.py | 14 ++++----- pypeit/spectrographs/p200_tspec.py | 8 ++--- pypeit/spectrographs/shane_kast.py | 24 +++++++-------- pypeit/spectrographs/soar_goodman.py | 14 ++++----- pypeit/spectrographs/spectrograph.py | 38 ++++++++++++------------ pypeit/spectrographs/tng_dolores.py | 6 ++-- pypeit/spectrographs/util.py | 2 +- pypeit/spectrographs/vlt_fors.py | 8 ++--- pypeit/spectrographs/vlt_sinfoni.py | 8 ++--- pypeit/spectrographs/vlt_xshooter.py | 20 ++++++------- pypeit/spectrographs/wht_isis.py | 14 ++++----- pypeit/tests/test_bitmask.py | 5 ++-- 42 files changed, 243 insertions(+), 241 deletions(-) diff --git a/pypeit/bitmask.py b/pypeit/bitmask.py index b9b72b10ae..40cb4c95ba 100644 --- a/pypeit/bitmask.py +++ b/pypeit/bitmask.py @@ -19,8 +19,6 @@ import os import textwrap -from pypeit import msgs - class BitMask: r""" Generic class to handle and manipulate bitmasks. The input list of @@ -105,11 +103,11 @@ def _prep_flags(self, flag): _flag = numpy.array(self.keys()) if flag is None else numpy.atleast_1d(flag).ravel() # NULL flags not allowed if numpy.any([f == 'NULL' for f in _flag]): - msgs.error('Flag name NULL is not allowed.') + raise ValueError('Flag name NULL is not allowed.') # Flags should be among the bitmask keys, and they need not be strings. indx = numpy.array([f not in self.keys() for f in _flag]) if numpy.any(indx): - msgs.error('The following bit names are not recognized: {0}'.format( + raise ValueError('The following bit names are not recognized: {0}'.format( ', '.join(_flag[indx].astype(str)))) return _flag diff --git a/pypeit/extraction.py b/pypeit/extraction.py index 3d23a93398..b0e21dbe80 100644 --- a/pypeit/extraction.py +++ b/pypeit/extraction.py @@ -768,6 +768,11 @@ def local_skysub_extract(self, global_sky, sobjs, spat_pix=None, model_noise=Tru sn_gauss = self.par['reduce']['extraction']['sn_gauss'] use_2dmodel_mask = self.par['reduce']['extraction']['use_2dmodel_mask'] no_local_sky = self.par['reduce']['skysub']['no_local_sky'] + # TODO: skysub.local_skysub_extract() accepts a `prof_nsigma` parameter, but none + # is provided here. Additionally, the ExtractionPar keyword std_prof_nsigma + # is not used anywhere in the code. Should it be be used here, in conjunction + # with whether this object IS_STANDARD? + # prof_nsigma = self.par['reduce']['extraction']['std_prof_nsigma'] if IS_STANDARD else None # Local sky subtraction and extraction self.skymodel[thismask], self.objmodel[thismask], self.ivarmodel[thismask], self.extractmask[thismask] \ @@ -782,6 +787,7 @@ def local_skysub_extract(self, global_sky, sobjs, spat_pix=None, model_noise=Tru std=self.std_redux, bsp=bsp, force_gauss=force_gauss, sn_gauss=sn_gauss, show_profile=show_profile, + # prof_nsigma=prof_nsigma, use_2dmodel_mask=use_2dmodel_mask, no_local_sky=no_local_sky, base_var=self.sciImg.base_var, diff --git a/pypeit/io.py b/pypeit/io.py index 56bb8afb50..2c4ddbae25 100644 --- a/pypeit/io.py +++ b/pypeit/io.py @@ -846,19 +846,24 @@ def create_symlink(filename, symlink_dir, relative_symlink=False, overwrite=Fals os.symlink(olink_src, olink_dest) -def files_from_extension(raw_path:str, +def files_from_extension(raw_path, extension:str='fits'): """ Grab the list of files with a given extension Args: - raw_path (str): - Path to raw files, which may or may not include the prefix of the - files to search for. For example, this can be the directory + raw_path (str or list): + Path(s) to raw files, which may or may not include the prefix of the + files to search for. + + For a string input, for example, this can be the directory ``'/path/to/files/'`` or the directory plus the file prefix ``'/path/to/files/prefix'``, which yeilds the search strings ``'/path/to/files/*fits'`` or ``'/path/to/files/prefix*fits'``, respectively. + + For a list input, this can use wildcards for multiple directories. + extension (str, optional): File extension to search on. @@ -870,14 +875,8 @@ def files_from_extension(raw_path:str, dfname = os.path.join(raw_path, f'*{extension}*') \ if os.path.isdir(raw_path) else f'{raw_path}*{extension}*' return sorted(glob.glob(dfname)) - elif isinstance(raw_path, list): - # Loop over the list - retlist = [] - for rpath in raw_path: - # Grab the list of files - dfname = os.path.join(rpath, f'*{extension}*') \ - if os.path.isdir(rpath) else f'{rpath}*{extension}*' - retlist += sorted(glob.glob(dfname)) - return retlist - else: - msgs.error(f"Incorrect type {type(raw_path)} for raw_path (must be str or list)") + + if isinstance(raw_path, list): + return numpy.concatenate([files_from_extension(p, extension=extension) for p in raw_path]).tolist() + + msgs.error(f"Incorrect type {type(raw_path)} for raw_path (must be str or list)") diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 49816247ee..3c48b5ebdc 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -1332,7 +1332,7 @@ def get_frame_types(self, flag_unknown=False, user=None, merge=True): indx = self['filename'] == ifile try: type_bits[indx] = self.type_bitmask.turn_on(type_bits[indx], flag=ftypes.split(',')) - except PypeItError as err: + except ValueError as err: msgs.error(f'Improper frame type supplied!{msgs.newline()}Check your PypeIt Reduction File') return self.set_frame_types(type_bits, merge=merge) diff --git a/pypeit/scripts/setup.py b/pypeit/scripts/setup.py index 3a1735ba19..901680f652 100644 --- a/pypeit/scripts/setup.py +++ b/pypeit/scripts/setup.py @@ -23,7 +23,7 @@ def get_parser(cls, width=None): parser.add_argument('-s', '--spectrograph', default=None, type=str, help='A valid spectrograph identifier: {0}'.format( ', '.join(available_spectrographs))) - parser.add_argument('-r', '--root', default='current working directory', type=str, nargs='*', + parser.add_argument('-r', '--root', default='current working directory', type=str, nargs='+', help='Root to search for data files. You can provide the top-level ' 'directory (e.g., /data/Kast) or the search string up through ' 'the wildcard (.e.g, /data/Kast/b). Use the --extension option ' diff --git a/pypeit/spectrographs/bok_bc.py b/pypeit/spectrographs/bok_bc.py index bf1a752679..f81b32031b 100644 --- a/pypeit/spectrographs/bok_bc.py +++ b/pypeit/spectrographs/bok_bc.py @@ -33,7 +33,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -118,7 +118,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -131,7 +131,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -190,7 +190,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -317,7 +317,7 @@ def bpm(self, filename, det, shape=None, msbias=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/gemini_flamingos.py b/pypeit/spectrographs/gemini_flamingos.py index a84541ad8c..bdfc336bdf 100644 --- a/pypeit/spectrographs/gemini_flamingos.py +++ b/pypeit/spectrographs/gemini_flamingos.py @@ -24,7 +24,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -98,7 +98,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -149,7 +149,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -265,7 +265,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() diff --git a/pypeit/spectrographs/gemini_gmos.py b/pypeit/spectrographs/gemini_gmos.py index 6c2189863a..67ba21d66e 100644 --- a/pypeit/spectrographs/gemini_gmos.py +++ b/pypeit/spectrographs/gemini_gmos.py @@ -41,7 +41,7 @@ class GeminiGMOSMosaicLookUp: from geminidr.gmos.lookups.geometry_conf import geometry Updating to any changes made to the DRAGONS version requires by-hand editing - of the ``PypeIt`` code. + of the PypeIt code. """ geometry = { # GMOS-N @@ -105,7 +105,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -179,7 +179,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -231,7 +231,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -280,7 +280,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -427,7 +427,7 @@ def get_mosaic_par(self, mosaic, hdu=None, msc_order=0): from unbinned images. The parameters expect the images to be trimmed and oriented to follow - the ``PypeIt`` shape convention of ``(nspec,nspat)``. For returned + the PypeIt shape convention of ``(nspec,nspat)``. For returned lists, the length of the list is the same as the number of detectors in the mosaic, and they are ordered by the detector number. @@ -506,7 +506,7 @@ def allowed_mosaics(self): Returns: :obj:`list`: List of tuples, where each tuple provides the 1-indexed detector numbers that can be combined into a mosaic and processed by - ``PypeIt``. + PypeIt. """ return [(1,2,3)] @@ -849,7 +849,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() par['sensfunc']['algorithm'] = 'IR' @@ -937,7 +937,7 @@ def bpm(self, filename, det, shape=None, msbias=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -1077,7 +1077,7 @@ def get_detector_par(self, det, hdu=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -1120,7 +1120,7 @@ def __init__(self): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -1308,7 +1308,7 @@ def get_detector_par(self, det, hdu=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/gemini_gnirs.py b/pypeit/spectrographs/gemini_gnirs.py index 4b0134177a..c6ec98a032 100644 --- a/pypeit/spectrographs/gemini_gnirs.py +++ b/pypeit/spectrographs/gemini_gnirs.py @@ -69,7 +69,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -112,7 +112,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -210,7 +210,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -283,7 +283,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -296,7 +296,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/gtc_osiris.py b/pypeit/spectrographs/gtc_osiris.py index 27d52fa48d..cead6e8dbb 100644 --- a/pypeit/spectrographs/gtc_osiris.py +++ b/pypeit/spectrographs/gtc_osiris.py @@ -88,7 +88,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -132,7 +132,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -227,7 +227,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -292,7 +292,7 @@ def config_independent_frames(self): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -699,7 +699,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -743,7 +743,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -809,7 +809,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -878,7 +878,7 @@ def config_independent_frames(self): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/jwst_nircam.py b/pypeit/spectrographs/jwst_nircam.py index 4a37ee31a7..d38e3f8dc4 100644 --- a/pypeit/spectrographs/jwst_nircam.py +++ b/pypeit/spectrographs/jwst_nircam.py @@ -96,7 +96,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -127,7 +127,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() diff --git a/pypeit/spectrographs/jwst_nirspec.py b/pypeit/spectrographs/jwst_nirspec.py index 4645baa30b..2369092d90 100644 --- a/pypeit/spectrographs/jwst_nirspec.py +++ b/pypeit/spectrographs/jwst_nirspec.py @@ -86,7 +86,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -117,7 +117,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() diff --git a/pypeit/spectrographs/keck_deimos.py b/pypeit/spectrographs/keck_deimos.py index 572399a86a..3eedd90a98 100644 --- a/pypeit/spectrographs/keck_deimos.py +++ b/pypeit/spectrographs/keck_deimos.py @@ -260,7 +260,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -306,7 +306,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -428,7 +428,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -522,7 +522,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -565,7 +565,7 @@ def config_independent_frames(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -578,7 +578,7 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, allow_missing=False): """ Generate a dict that will be added to the Header of spectra files - generated by ``PypeIt`` (e.g. :class:`~pypeit.specobjs.SpecObjs`). + generated by PypeIt (e.g. :class:`~pypeit.specobjs.SpecObjs`). This version overrides the parent version to include KOA specific header cards. Args: @@ -696,7 +696,7 @@ def get_rawimage(self, raw_file, det): .. warning:: - ``PypeIt`` currently *cannot* reduce images produced by + PypeIt currently *cannot* reduce images produced by reading the DEIMOS CCDs with the A amplifier or those taken in imaging mode. All image handling assumes DEIMOS images have been read with the B amplifier in the @@ -806,7 +806,7 @@ def get_mosaic_par(self, mosaic, hdu=None, msc_order=5): from unbinned images. The parameters expect the images to be trimmed and oriented to follow - the ``PypeIt`` shape convention of ``(nspec,nspat)``. For returned + the PypeIt shape convention of ``(nspec,nspat)``. For returned lists, the length of the list is the same as the number of detectors in the mosaic, and they are ordered by the detector number. @@ -878,7 +878,7 @@ def allowed_mosaics(self): Returns: :obj:`list`: List of tuples, where each tuple provides the 1-indexed detector numbers that can be combined into a mosaic and processed by - ``PypeIt``. + PypeIt. """ return [(1,5),(2,6),(3,7),(4,8)] diff --git a/pypeit/spectrographs/keck_hires.py b/pypeit/spectrographs/keck_hires.py index e9fb9473cc..61d6178561 100644 --- a/pypeit/spectrographs/keck_hires.py +++ b/pypeit/spectrographs/keck_hires.py @@ -72,7 +72,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -158,7 +158,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -233,7 +233,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -246,7 +246,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -419,7 +419,7 @@ def get_mosaic_par(self, mosaic, hdu=None, msc_order=0): from unbinned images. The parameters expect the images to be trimmed and oriented to follow - the ``PypeIt`` shape convention of ``(nspec,nspat)``. For returned + the PypeIt shape convention of ``(nspec,nspat)``. For returned lists, the length of the list is the same as the number of detectors in the mosaic, and they are ordered by the detector number. @@ -498,7 +498,7 @@ def allowed_mosaics(self): Returns: :obj:`list`: List of tuples, where each tuple provides the 1-indexed detector numbers that can be combined into a mosaic and processed by - ``PypeIt``. + PypeIt. """ return [(1,2,3)] diff --git a/pypeit/spectrographs/keck_kcwi.py b/pypeit/spectrographs/keck_kcwi.py index 75bd8debb6..cad8feb98c 100644 --- a/pypeit/spectrographs/keck_kcwi.py +++ b/pypeit/spectrographs/keck_kcwi.py @@ -121,7 +121,7 @@ def get_detector_par(self, det, hdu=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -161,7 +161,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -298,7 +298,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -316,7 +316,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -398,7 +398,7 @@ def default_pypeit_par(cls): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/keck_lris.py b/pypeit/spectrographs/keck_lris.py index 1acd0ebf50..3999595587 100644 --- a/pypeit/spectrographs/keck_lris.py +++ b/pypeit/spectrographs/keck_lris.py @@ -43,7 +43,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -89,7 +89,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -124,7 +124,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -227,7 +227,7 @@ def configuration_keys(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -479,7 +479,7 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, allow_missing=False): """ Generate a dict that will be added to the Header of spectra files - generated by ``PypeIt`` (e.g. :class:`~pypeit.specobjs.SpecObjs`). + generated by PypeIt (e.g. :class:`~pypeit.specobjs.SpecObjs`). Args: row_fitstbl (dict-like): @@ -732,7 +732,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -757,7 +757,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -806,7 +806,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -822,7 +822,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -885,7 +885,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -1133,7 +1133,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -1186,7 +1186,7 @@ def get_ql_calib_dir(self, file): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -1248,7 +1248,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -1280,7 +1280,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -1545,7 +1545,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -1604,7 +1604,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() diff --git a/pypeit/spectrographs/keck_mosfire.py b/pypeit/spectrographs/keck_mosfire.py index e31944f206..4b5a5cfc52 100644 --- a/pypeit/spectrographs/keck_mosfire.py +++ b/pypeit/spectrographs/keck_mosfire.py @@ -78,7 +78,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -148,7 +148,7 @@ def get_ql_calib_dir(self, file): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -253,7 +253,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -397,7 +397,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -663,7 +663,7 @@ def get_comb_group(self, fitstbl): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/keck_nires.py b/pypeit/spectrographs/keck_nires.py index a2f3c144c7..f9bf2c4a8b 100644 --- a/pypeit/spectrographs/keck_nires.py +++ b/pypeit/spectrographs/keck_nires.py @@ -74,7 +74,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -144,7 +144,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -222,7 +222,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -415,7 +415,7 @@ def get_comb_group(self, fitstbl): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/keck_nirspec.py b/pypeit/spectrographs/keck_nirspec.py index f78b10b5e8..caf58dbf4c 100644 --- a/pypeit/spectrographs/keck_nirspec.py +++ b/pypeit/spectrographs/keck_nirspec.py @@ -64,7 +64,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -136,7 +136,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -185,7 +185,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -198,7 +198,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/lbt_luci.py b/pypeit/spectrographs/lbt_luci.py index a8ccf111ac..8bad08f673 100644 --- a/pypeit/spectrographs/lbt_luci.py +++ b/pypeit/spectrographs/lbt_luci.py @@ -34,7 +34,7 @@ class LBTLUCISpectrograph(spectrograph.Spectrograph): # # Returns: # :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by -# all of ``PypeIt`` methods. +# all of PypeIt methods. # """ # par = super().default_pypeit_par() # @@ -57,7 +57,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -179,7 +179,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -192,7 +192,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -323,7 +323,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -438,7 +438,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() diff --git a/pypeit/spectrographs/lbt_mods.py b/pypeit/spectrographs/lbt_mods.py index 4382eceb85..ab9b7bcecb 100644 --- a/pypeit/spectrographs/lbt_mods.py +++ b/pypeit/spectrographs/lbt_mods.py @@ -37,7 +37,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -63,7 +63,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -127,7 +127,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -319,7 +319,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -349,7 +349,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -483,7 +483,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -640,7 +640,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -670,7 +670,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -802,7 +802,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index cdeb900074..113e5b39b8 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -111,7 +111,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -244,7 +244,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -262,7 +262,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -403,7 +403,7 @@ def check_frame_type(self, ftype:str, fitstbl:Table, exprng=None): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list` : The list of keywords in the relevant @@ -443,7 +443,7 @@ def get_lamps(self, fitstbl:Table) -> list: def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -767,7 +767,7 @@ def scrub_isot_dateobs(dt_str: str): have to give up and go buy a lottery ticket. If you have a truly bizarre ``DATE-OBS`` string, simply edit that keyword - in the FITS header and then re-run ``PypeIt``. + in the FITS header and then re-run PypeIt. Parameters ---------- diff --git a/pypeit/spectrographs/magellan_fire.py b/pypeit/spectrographs/magellan_fire.py index 786433ae1c..6d20cc5f22 100644 --- a/pypeit/spectrographs/magellan_fire.py +++ b/pypeit/spectrographs/magellan_fire.py @@ -40,7 +40,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -63,7 +63,7 @@ def init_meta(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -139,7 +139,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -381,7 +381,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() diff --git a/pypeit/spectrographs/magellan_mage.py b/pypeit/spectrographs/magellan_mage.py index bc29737afe..cc3f77f60d 100644 --- a/pypeit/spectrographs/magellan_mage.py +++ b/pypeit/spectrographs/magellan_mage.py @@ -86,7 +86,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -142,7 +142,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} diff --git a/pypeit/spectrographs/mdm_osmos.py b/pypeit/spectrographs/mdm_osmos.py index 1051a4be8e..f3f46795bb 100644 --- a/pypeit/spectrographs/mdm_osmos.py +++ b/pypeit/spectrographs/mdm_osmos.py @@ -76,7 +76,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -104,7 +104,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -171,7 +171,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -184,7 +184,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/mmt_binospec.py b/pypeit/spectrographs/mmt_binospec.py index 49d48fcd5d..f310105810 100644 --- a/pypeit/spectrographs/mmt_binospec.py +++ b/pypeit/spectrographs/mmt_binospec.py @@ -83,7 +83,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -152,7 +152,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -170,7 +170,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -221,7 +221,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/mmt_bluechannel.py b/pypeit/spectrographs/mmt_bluechannel.py index 180556cf4c..9980c8fed1 100644 --- a/pypeit/spectrographs/mmt_bluechannel.py +++ b/pypeit/spectrographs/mmt_bluechannel.py @@ -98,7 +98,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -203,7 +203,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -221,7 +221,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -279,7 +279,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -390,7 +390,7 @@ def get_lamps(self, fitstbl): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/mmt_mmirs.py b/pypeit/spectrographs/mmt_mmirs.py index 54ff1ca288..94705905ee 100644 --- a/pypeit/spectrographs/mmt_mmirs.py +++ b/pypeit/spectrographs/mmt_mmirs.py @@ -37,7 +37,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -88,7 +88,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -142,7 +142,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -209,7 +209,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/not_alfosc.py b/pypeit/spectrographs/not_alfosc.py index 56edf4887f..42589cc3e4 100644 --- a/pypeit/spectrographs/not_alfosc.py +++ b/pypeit/spectrographs/not_alfosc.py @@ -104,7 +104,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -149,7 +149,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -222,7 +222,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -271,7 +271,7 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/ntt_efosc2.py b/pypeit/spectrographs/ntt_efosc2.py index 38101f94f5..81cbbb5d11 100644 --- a/pypeit/spectrographs/ntt_efosc2.py +++ b/pypeit/spectrographs/ntt_efosc2.py @@ -31,7 +31,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -126,7 +126,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -202,7 +202,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -256,7 +256,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/p200_dbsp.py b/pypeit/spectrographs/p200_dbsp.py index 1254635cc9..e38255fcb5 100644 --- a/pypeit/spectrographs/p200_dbsp.py +++ b/pypeit/spectrographs/p200_dbsp.py @@ -37,7 +37,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -113,7 +113,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -126,7 +126,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -265,7 +265,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -306,7 +306,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -489,7 +489,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -530,7 +530,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/p200_tspec.py b/pypeit/spectrographs/p200_tspec.py index fa63f0d7e8..2d579099a6 100644 --- a/pypeit/spectrographs/p200_tspec.py +++ b/pypeit/spectrographs/p200_tspec.py @@ -33,7 +33,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -98,7 +98,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -152,7 +152,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -221,7 +221,7 @@ def default_pypeit_par(cls): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/shane_kast.py b/pypeit/spectrographs/shane_kast.py index 0f2244eb65..19b94656de 100644 --- a/pypeit/spectrographs/shane_kast.py +++ b/pypeit/spectrographs/shane_kast.py @@ -36,7 +36,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -63,7 +63,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -251,7 +251,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -275,7 +275,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -309,7 +309,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -329,7 +329,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -450,7 +450,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -467,7 +467,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -504,7 +504,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -661,7 +661,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -695,7 +695,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -716,7 +716,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. diff --git a/pypeit/spectrographs/soar_goodman.py b/pypeit/spectrographs/soar_goodman.py index fc0c2a627d..58e5f97a8b 100644 --- a/pypeit/spectrographs/soar_goodman.py +++ b/pypeit/spectrographs/soar_goodman.py @@ -29,7 +29,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -104,7 +104,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -117,7 +117,7 @@ def raw_header_cards(self): # def pypeit_file_keys(self): # """ -# Define the list of keys to be output into a standard ``PypeIt`` file. +# Define the list of keys to be output into a standard PypeIt file. # # Returns: # :obj:`list`: The list of keywords in the relevant @@ -287,7 +287,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -340,7 +340,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -484,7 +484,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -532,7 +532,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/spectrographs/spectrograph.py b/pypeit/spectrographs/spectrograph.py index 869a3aabeb..074c6b59a9 100644 --- a/pypeit/spectrographs/spectrograph.py +++ b/pypeit/spectrographs/spectrograph.py @@ -1,6 +1,6 @@ """ Defines the abstract :class:`~pypeit.spectrographs.spectrograph.Spectrograph` -class, which is the parent class for all instruments served by ``PypeIt``. +class, which is the parent class for all instruments served by PypeIt. The key functionality of this base class and its derived classes are to provide instrument-specific: @@ -15,7 +15,7 @@ - header keyword values to check to confirm a fits file has been taken with the selected instrument - default methods for automatically determining the type of each exposure - that ``PypeIt`` was asked to reduce + that PypeIt was asked to reduce - header keywords to use when matching calibration frames to science frames - methods used to generate and/or read bad-pixel masks for an exposure @@ -49,7 +49,7 @@ class Spectrograph: """ - Abstract base class for all instrument-specific behavior in ``PypeIt``. + Abstract base class for all instrument-specific behavior in PypeIt. Attributes: dispname (:obj:`str`): @@ -69,7 +69,7 @@ class Spectrograph: primary header data. meta (:obj:`dict`): Instrument-specific metadata model, linking header information to - metadata elements required by ``PypeIt``. + metadata elements required by PypeIt. """ __metaclass__ = ABCMeta @@ -121,14 +121,14 @@ class Spectrograph: supported = False """ - Flag that ``PypeIt`` code base has been sufficiently tested with data + Flag that PypeIt code base has been sufficiently tested with data from this spectrograph that it is officially supported by the development team. """ ql_supported = False """ - Flag that ``PypeIt`` code base has been sufficiently tested with data + Flag that PypeIt code base has been sufficiently tested with data from this spectrograph in quicklook mode that it is officially supported by the development team. """ @@ -136,7 +136,7 @@ class Spectrograph: comment = None """ - A brief comment or description regarding ``PypeIt`` usage with this + A brief comment or description regarding PypeIt usage with this spectrograph. """ @@ -179,7 +179,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = pypeitpar.PypeItPar() par['rdx']['spectrograph'] = cls.name @@ -187,7 +187,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -296,12 +296,12 @@ def _check_telescope(self): def raw_is_transposed(self, detector_par): """ Check if raw image files are transposed with respect to the - ``PypeIt`` convention. + PypeIt convention. Indicates that reading raw files with `astropy.io.fits`_ yields an image with the spatial dimension along the first axis of the 2D array. This means that the image must be transposed to match the - ``PypeIt`` convention of having the spectral dimension along the + PypeIt convention of having the spectral dimension along the first axis. Args: @@ -343,7 +343,7 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, allow_missing=False): """ Generate a dict that will be added to the Header of spectra files - generated by ``PypeIt`` (e.g. :class:`~pypeit.specobjs.SpecObjs`). + generated by PypeIt (e.g. :class:`~pypeit.specobjs.SpecObjs`). Args: row_fitstbl (dict-like): @@ -413,7 +413,7 @@ def subheader_for_spec(self, row_fitstbl, raw_header, extra_header_cards=None, def orient_image(self, detector_par, rawimage): """ - Orient the image into the ``PypeIt`` configuration: (spectral, + Orient the image into the PypeIt configuration: (spectral, spatial). Args: @@ -471,7 +471,7 @@ def empty_bpm(self, filename, det, shape=None): Returns: `numpy.ndarray`_: An integer array with a masked value set to 1 and an unmasked value set to 0. The shape of the returned image should - be that of a trimmed and oriented ``PypeIt`` processed image. This + be that of a trimmed and oriented PypeIt processed image. This function specifically is the generic method for the base class, meaning that all pixels are returned as unmasked (0s). """ @@ -750,7 +750,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -880,7 +880,7 @@ def get_comb_group(self, fitstbl): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -920,7 +920,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -1306,12 +1306,12 @@ def get_meta_value(self, inp, meta_key, required=False, ``required`` and ``required_ftype`` keyword in ``self.meta[meta_key]``. ignore_bad_header (:obj:`bool`, optional): - ``PypeIt`` expects certain metadata values to have specific + PypeIt expects certain metadata values to have specific datatypes. If the keyword finds the appropriate data but it cannot be cast to the correct datatype, this parameter determines whether or not the method raises an exception. If True, the incorrect type is ignored. It is recommended that this - be False unless you know for sure that ``PypeIt`` can proceed + be False unless you know for sure that PypeIt can proceed appropriately. This flag takes precedence over ``required``; i.e., if ``ignore_bad_header`` is True, ``required`` is ignored. usr_row (`astropy.table.Table`_, optional): diff --git a/pypeit/spectrographs/tng_dolores.py b/pypeit/spectrographs/tng_dolores.py index 251cf16b49..23df646021 100644 --- a/pypeit/spectrographs/tng_dolores.py +++ b/pypeit/spectrographs/tng_dolores.py @@ -73,7 +73,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -130,7 +130,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -199,7 +199,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. diff --git a/pypeit/spectrographs/util.py b/pypeit/spectrographs/util.py index de7307f2b4..efcac82e23 100644 --- a/pypeit/spectrographs/util.py +++ b/pypeit/spectrographs/util.py @@ -33,7 +33,7 @@ def load_spectrograph(spec): Raises: PypeItError: Raised if the input is a string that does not select a recognized - ``PypeIt`` spectrograph. + PypeIt spectrograph. """ if spec is None or isinstance(spec, spectrographs.spectrograph.Spectrograph): return spec diff --git a/pypeit/spectrographs/vlt_fors.py b/pypeit/spectrographs/vlt_fors.py index a7070086f4..fbe909f7cf 100644 --- a/pypeit/spectrographs/vlt_fors.py +++ b/pypeit/spectrographs/vlt_fors.py @@ -32,7 +32,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -79,7 +79,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -294,7 +294,7 @@ def get_detector_par(self, det, hdu=None): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -361,7 +361,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. diff --git a/pypeit/spectrographs/vlt_sinfoni.py b/pypeit/spectrographs/vlt_sinfoni.py index 7fb799a0e2..569e8affbe 100644 --- a/pypeit/spectrographs/vlt_sinfoni.py +++ b/pypeit/spectrographs/vlt_sinfoni.py @@ -70,7 +70,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -165,7 +165,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -239,7 +239,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -253,7 +253,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant diff --git a/pypeit/spectrographs/vlt_xshooter.py b/pypeit/spectrographs/vlt_xshooter.py index 0a80f62ddd..39c8660908 100644 --- a/pypeit/spectrographs/vlt_xshooter.py +++ b/pypeit/spectrographs/vlt_xshooter.py @@ -34,7 +34,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -108,7 +108,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -121,7 +121,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -235,7 +235,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -332,7 +332,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -347,7 +347,7 @@ def init_meta(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -617,7 +617,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -701,7 +701,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() @@ -900,7 +900,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -969,7 +969,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ super().init_meta() diff --git a/pypeit/spectrographs/wht_isis.py b/pypeit/spectrographs/wht_isis.py index 8ab81b5e3f..8572609400 100644 --- a/pypeit/spectrographs/wht_isis.py +++ b/pypeit/spectrographs/wht_isis.py @@ -25,7 +25,7 @@ def init_meta(self): """ Define how metadata are derived from the spectrograph files. - That is, this associates the ``PypeIt``-specific metadata keywords + That is, this associates the PypeIt-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ self.meta = {} @@ -94,7 +94,7 @@ def raw_header_cards(self): the :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.configuration_keys` or are used in :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.config_specific_par` for a particular spectrograph, if different from the name of the - ``PypeIt`` metadata keyword. + PypeIt metadata keyword. This list is used by :meth:`~pypeit.spectrographs.spectrograph.Spectrograph.subheader_for_spec` to include additional FITS keywords in downstream output files. @@ -107,7 +107,7 @@ def raw_header_cards(self): def pypeit_file_keys(self): """ - Define the list of keys to be output into a standard ``PypeIt`` file. + Define the list of keys to be output into a standard PypeIt file. Returns: :obj:`list`: The list of keywords in the relevant @@ -172,7 +172,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -206,7 +206,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: @@ -320,7 +320,7 @@ def default_pypeit_par(cls): Returns: :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by - all of ``PypeIt`` methods. + all of PypeIt methods. """ par = super().default_pypeit_par() @@ -351,7 +351,7 @@ def default_pypeit_par(cls): def config_specific_par(self, scifile, inp_par=None): """ - Modify the ``PypeIt`` parameters to hard-wired values used for + Modify the PypeIt parameters to hard-wired values used for specific instrument configurations. Args: diff --git a/pypeit/tests/test_bitmask.py b/pypeit/tests/test_bitmask.py index b99f257d35..2b870dd02a 100644 --- a/pypeit/tests/test_bitmask.py +++ b/pypeit/tests/test_bitmask.py @@ -7,7 +7,6 @@ from astropy.io import fits from pypeit.bitmask import BitMask -from pypeit.pypmsgs import PypeItError #----------------------------------------------------------------------------- @@ -99,11 +98,11 @@ def test_wrong_bits(): mask[cosmics_indx] = image_bm.turn_on(mask[cosmics_indx], 'COSMIC') # Fails with all bad flags - with pytest.raises(PypeItError): + with pytest.raises(ValueError): out = image_bm.flagged(mask, flag='JUNK') # Fails with mix of good and bad flags - with pytest.raises(PypeItError): + with pytest.raises(ValueError): out = image_bm.flagged(mask, flag=['COSMIC', 'JUNK']) assert numpy.sum(image_bm.flagged(mask, flag='COSMIC')) == numpy.sum(cosmics_indx) From b51dfe0613a9dbe093640b86da995f955a4c5669 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 12 May 2023 15:05:10 -0700 Subject: [PATCH 287/308] Tweaks modified: pypeit/metadata.py modified: pypeit/spectrographs/ldt_deveny.py --- pypeit/metadata.py | 7 +++---- pypeit/spectrographs/ldt_deveny.py | 2 +- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/pypeit/metadata.py b/pypeit/metadata.py index 3c48b5ebdc..f8ec063a3e 100644 --- a/pypeit/metadata.py +++ b/pypeit/metadata.py @@ -14,12 +14,10 @@ from IPython import embed import numpy as np -import yaml from astropy import table, time from pypeit import msgs -from pypeit import utils from pypeit import inputfiles from pypeit.core import framematch from pypeit.core import flux_calib @@ -28,7 +26,6 @@ from pypeit.io import dict_to_lines from pypeit.par import PypeItPar from pypeit.bitmask import BitMask -from pypeit.pypmsgs import PypeItError # TODO: Turn this into a DataContainer @@ -1333,7 +1330,9 @@ def get_frame_types(self, flag_unknown=False, user=None, merge=True): try: type_bits[indx] = self.type_bitmask.turn_on(type_bits[indx], flag=ftypes.split(',')) except ValueError as err: - msgs.error(f'Improper frame type supplied!{msgs.newline()}Check your PypeIt Reduction File') + msgs.error(f'Improper frame type supplied!{msgs.newline()}' + f'{err}{msgs.newline()}' + 'Check your PypeIt Reduction File') return self.set_frame_types(type_bits, merge=merge) # Loop over the frame types diff --git a/pypeit/spectrographs/ldt_deveny.py b/pypeit/spectrographs/ldt_deveny.py index 113e5b39b8..7dc76a154a 100644 --- a/pypeit/spectrographs/ldt_deveny.py +++ b/pypeit/spectrographs/ldt_deveny.py @@ -176,7 +176,7 @@ def compound_meta(self, headarr:list, meta_key:str) -> object: "600/6750":"DV7", "831/8000":"DV8", "1200/5000":"DV9", "2160/5000":"DV10", "UNKNOWN":"DVxx"} if (grating_kwd := headarr[0]['GRATING']) not in gratings: - raise ValueError(f"Grating value {grating_kwd} not recognized.") + msgs.error(f"Grating value {grating_kwd} not recognized.") if grating_kwd == "UNKNOWN": msgs.warn(f"Grating not selected in the LOUI; {msgs.newline()}" "Fix the header keyword GRATING before proceeding.") From f987706093abbc647cd2e77fcbad36057978a8ee Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 13 May 2023 10:27:49 +0100 Subject: [PATCH 288/308] spat flexure --- pypeit/pypeit.py | 40 ++++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/pypeit/pypeit.py b/pypeit/pypeit.py index fd3c0c6cc5..ccacb9d40c 100644 --- a/pypeit/pypeit.py +++ b/pypeit/pypeit.py @@ -43,6 +43,7 @@ from linetools import utils as ltu + class PypeIt: """ This class runs the primary calibration and extraction in PypeIt @@ -689,7 +690,7 @@ def calib_one(self, frames, det): caliBrate = calibrations.Calibrations.get_instance( self.fitstbl, self.par['calibrations'], self.spectrograph, self.calibrations_path, qadir=self.qa_path, - reuse_calibs=self.reuse_calibs, show=self.show, + reuse_calibs=self.reuse_calibs, show=self.show, user_slits=slittrace.merge_user_slit( self.par['rdx']['slitspatnum'], self.par['rdx']['maskIDs'])) #slitspat_num=self.par['rdx']['slitspatnum']) @@ -771,9 +772,14 @@ def objfind_one(self, frames, det, bg_frames=None, std_outfile=None): # spatial flexure determined for the background image. sciImg = sciImg.sub(bgimg) + # Flexure + spat_flexure = None + if (self.objtype == 'science' and self.par['scienceframe']['process']['spat_flexure_correct']) or \ + (self.objtype == 'standard' and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): + spat_flexure = sciImg.spat_flexure # Build the initial sky mask initial_skymask = self.load_skyregions(initial_slits=self.spectrograph.pypeline != 'IFU', - scifile=sciImg.files[0], frame=frames[0]) + scifile=sciImg.files[0], frame=frames[0], spat_flexure=spat_flexure) # Deal with manual extraction row = self.fitstbl[frames[0]] @@ -801,13 +807,13 @@ def objfind_one(self, frames, det, bg_frames=None, std_outfile=None): # Return return initial_sky, sobjs_obj, sciImg, objFind - def load_skyregions(self, initial_slits=False, scifile=None, frame=None): + def load_skyregions(self, initial_slits=False, scifile=None, frame=None, spat_flexure=None): """ Generate or load sky regions, if defined by the user. Sky regions are defined by the internal provided parameters; see ``user_regions`` in :class:`~pypeit.par.pypeitpar.SkySubPar`. If - included in the pypeit file like so, + included in the pypeit file like so, .. code-block:: ini @@ -838,6 +844,8 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): frame : :obj:`int`, optional The index of the frame used to construct the calibration key. Only used if ``user_regions = user``. + spat_flexure : :obj:`float`, None, optional + The spatial flexure (measured in pixels) of the science frame relative to the trace frame. Returns ------- @@ -867,30 +875,23 @@ def load_skyregions(self, initial_slits=False, scifile=None, frame=None): msgs.info(f'Loading SkyRegions file: {regfile}') return buildimage.SkyRegions.from_file(regfile).image.astype(bool) - # Flexure - spat_flexure = None - if (self.objtype == 'science' - and self.par['scienceframe']['process']['spat_flexure_correct']) or \ - (self.objtype == 'standard' - and self.par['calibrations']['standardframe']['process']['spat_flexure_correct']): - spat_flexure = sciImg.spat_flexure - skyregtxt = self.par['reduce']['skysub']['user_regions'] if isinstance(skyregtxt, list): skyregtxt = ",".join(skyregtxt) msgs.info(f'Generating skysub mask based on the user defined regions: {skyregtxt}') - # The resolution probably doesn't need to be a user parameter + # NOTE : Do not include spatial flexure here! + # It is included when generating the mask in the return statement below slits_left, slits_right, _ \ - = self.caliBrate.slits.select_edges(initial=initial_slits, flexure=spat_flexure) + = self.caliBrate.slits.select_edges(initial=initial_slits, flexure=None) maxslitlength = np.max(slits_right-slits_left) # Get the regions - status, regions = skysub.read_userregions(skyregtxt, self.caliBrate.slits.nslits, - maxslitlength) + status, regions = skysub.read_userregions(skyregtxt, self.caliBrate.slits.nslits, maxslitlength) + if status == 1: + msgs.error("Unknown error in sky regions definition. Please check the value:" + msgs.newline() + skyregtxt) + elif status == 2: + msgs.error("Sky regions definition must contain a percentage range, and therefore must contain a ':'") # Generate and return image - # TODO: Is this applying the spatial flexure twice? I.e., once above - # when calling select_edges, and once below when passed to - # generate_mask? return skysub.generate_mask(self.spectrograph.pypeline, regions, self.caliBrate.slits, slits_left, slits_right, spat_flexure=spat_flexure) @@ -954,7 +955,6 @@ def extract_one(self, frames, det, sciImg, objFind, initial_sky, sobjs_obj): slits = copy.deepcopy(self.caliBrate.slits) slits.maskdef_designtab = None - # update here slits.mask since global_skysub modify reduce_bpm and we need to propagate it into extraction flagged_slits = np.where(objFind.reduce_bpm)[0] if len(flagged_slits) > 0: From deb522533dfa8fb4d4d84109d67f9b59c3991e0e Mon Sep 17 00:00:00 2001 From: rcooke Date: Sat, 13 May 2023 12:58:07 +0100 Subject: [PATCH 289/308] align bug --- pypeit/core/datacube.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/pypeit/core/datacube.py b/pypeit/core/datacube.py index cfcceea208..7159ad5940 100644 --- a/pypeit/core/datacube.py +++ b/pypeit/core/datacube.py @@ -1566,11 +1566,10 @@ def coadd_cube(files, opts, spectrograph=None, parset=None, overwrite=False): msgs.info("Loading alignments") alignments = alignframe.Alignments.from_file(alignfile) else: - msgs.warn(f'Processed Alignment frame not recorded or not found: {alignfile}. ' - 'Astrometric correction will not be performed.') - astrometric = False + msgs.warn(f'Processed alignment frame not recorded or not found!') + msgs.info("Using slit edges for astrometric transform") else: - msgs.info("Astrometric correction will not be performed") + msgs.info("Using slit edges for astrometric transform") # If nothing better was provided, use the slit edges if alignments is None: left, right, _ = slits.select_edges(initial=True, flexure=flexure) From c004aeaee5b8af76ad70e510feebc3244fc89da4 Mon Sep 17 00:00:00 2001 From: rcooke Date: Sun, 14 May 2023 11:50:55 +0100 Subject: [PATCH 290/308] rm return --- pypeit/images/rawimage.py | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/pypeit/images/rawimage.py b/pypeit/images/rawimage.py index f4a2f53764..7b3f1d8c07 100644 --- a/pypeit/images/rawimage.py +++ b/pypeit/images/rawimage.py @@ -303,8 +303,7 @@ def build_ivar(self): return utils.inverse(var) def estimate_readnoise(self): - """ - Estimate the readnoise (in electrons) based on the overscan regions of + """ Estimate the readnoise (in electrons) based on the overscan regions of the image. If the readnoise is not known for any of the amplifiers (i.e., if @@ -748,11 +747,8 @@ def spatial_flexure_shift(self, slits, force=False): 'mosaic) to determine spatial flexure.') self.spat_flexure_shift = flexure.spat_flexure_shift(self.image[0], slits) self.steps[step] = True - # Return (required!) - return self.spat_flexure_shift - # Return - return self.spat_flexure_shift + return self.spat_flexure_shift def flatfield(self, flatimages, slits=None, force=False, debug=False): """ From 7fc75188fbbaf7570c09dae1a6146c89f054f62e Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Tue, 16 May 2023 17:09:04 -0700 Subject: [PATCH 291/308] Remove duplicates and remove line that was messing with bok_bc/600 modified: pypeit/data/arc_lines/lists/NeI_lines.dat --- pypeit/data/arc_lines/lists/NeI_lines.dat | 3 --- 1 file changed, 3 deletions(-) diff --git a/pypeit/data/arc_lines/lists/NeI_lines.dat b/pypeit/data/arc_lines/lists/NeI_lines.dat index b1fa732c8f..dafe5ed7fb 100644 --- a/pypeit/data/arc_lines/lists/NeI_lines.dat +++ b/pypeit/data/arc_lines/lists/NeI_lines.dat @@ -7,8 +7,6 @@ | NeI | 5402.0631 | 1 | 16 | 6000 | deimos_600.json | | NeI | 5564.3110 | 1 | 19 | 300 | gtc_osiris_manual | | NeI | 5658.2287 | 1 | 19 | 300 | gtc_osiris_manual | -| NeI | 5332.2603 | 1 | 16 | 6000 | deimos_600.json | -| NeI | 5402.0631 | 1 | 16 | 6000 | deimos_600.json | | NeI | 5766.0175 | 1 | 19 | 7000 | not_alfosc_linelists | | NeI | 5854.1101 | 1 | 9 | 7489 | lrisr_600_7500_PYPIT.json | | NeI | 5883.5252 | 1 | 9 | 5962 | lrisr_600_7500_PYPIT.json | @@ -60,6 +58,5 @@ | NeI | 9461.8060 | 1 | 16 | 2800 | deimos_830g_pypeit_manual | | NeI | 9489.2849 | 1 | 16 | 5000 | deimos_830g_pypeit_manual | | NeI | 9536.7793 | 1 | 16 | 2334 | deimos_830g_r_PYPIT.json | -| NeI | 9550.0241 | 1 | 0 | 18000 | ldt_deveny_600_Ne | | NeI | 9668.0709 | 1 | 0 | 2800 | ldt_deveny_600_Ne | | NeI | 11146.0715 | 1 | 16 | 26000 | deimos_830g_pypeit_manual | From d20c087a164bff723a17db6fb18b9f0ccd759509 Mon Sep 17 00:00:00 2001 From: Debora Pelliccia Date: Wed, 17 May 2023 09:05:25 -1000 Subject: [PATCH 292/308] ryan's comments --- pypeit/wavetilts.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index c9838865a2..18a9fa558c 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -139,6 +139,8 @@ def fit2tiltimg(self, slitmask, flexure=None): `numpy.ndarray`_: New tilt image """ + msgs.info("Generating a tilts image from the fit parameters") + _flexure = 0. if flexure is None else flexure final_tilts = np.zeros_like(slitmask).astype(float) @@ -201,7 +203,7 @@ def show(self, waveimg=None, wcs_match=True, in_ginga=True, show_traces=False): tilt_img_dict = buildimage.TiltImage.from_file(Path(self.calib_dir).resolve() / self.tiltimg_filename) tilt_img = tilt_img_dict.image * (slitmask > -1) if slits is not None else tilt_img_dict.image else: - msgs.err('Tiltimg not found.') + msgs.error('Tilt image not found.') # get waveimg if waveimg is None and in_ginga: From 6bd6d10004768adb769de9f7c79b03a5a4c87e74 Mon Sep 17 00:00:00 2001 From: "Timothy P. Ellsworth Bowers" Date: Fri, 19 May 2023 22:56:37 -0700 Subject: [PATCH 293/308] Remove LDT/DeVeny Neon lines for now modified: pypeit/data/arc_lines/lists/NeI_lines.dat --- pypeit/data/arc_lines/lists/NeI_lines.dat | 12 +----------- 1 file changed, 1 insertion(+), 11 deletions(-) diff --git a/pypeit/data/arc_lines/lists/NeI_lines.dat b/pypeit/data/arc_lines/lists/NeI_lines.dat index dafe5ed7fb..1ad210f3af 100644 --- a/pypeit/data/arc_lines/lists/NeI_lines.dat +++ b/pypeit/data/arc_lines/lists/NeI_lines.dat @@ -1,4 +1,4 @@ -# Creation Date: 2022-May-06 +# Creation Date: 2018-May-03 # VACUUM -- MUST BE IN NIST | ion | wave | NIST | Instr | amplitude | Source | | NeI | 5039.1560 | 1 | 19 | 300 | gtc_osiris_manual | @@ -36,27 +36,17 @@ | NeI | 7440.9469 | 1 | 25 | 37896 | lrisr_600_7500_PYPIT.json | | NeI | 7490.9335 | 1 | 25 | 5760 | lrisr_600_7500_PYPIT.json | | NeI | 7537.8488 | 1 | 25 | 5565 | lrisr_600_7500_PYPIT.json | -| NeI | 7945.3654 | 1 | 0 | 7900 | ldt_deveny_600_Ne | | NeI | 8084.6801 | 1 | 25 | 485 | kastr_600_7500_PYPIT.json | -| NeI | 8138.6432 | 1 | 0 | 17000 | ldt_deveny_600_Ne | -| NeI | 8302.6062 | 1 | 0 | 26000 | ldt_deveny_600_Ne | | NeI | 8379.9093 | 1 | 9 | 23176 | lrisr_600_7500_PYPIT.json | -| NeI | 8420.7398 | 1 | 0 | 26000 | ldt_deveny_600_Ne | | NeI | 8497.6932 | 1 | 25 | 21494 | lrisr_400_8500_PYPIT.json | -| NeI | 8593.6184 | 1 | 0 | 41000 | ldt_deveny_600_Ne | -| NeI | 8637.0190 | 1 | 0 | 35000 | ldt_deveny_600_Ne | | NeI | 8649.4164 | 1 | 9 | 383 | lrisr_600_7500_PYPIT.json | | NeI | 8656.7599 | 1 | 25 | 10656 | lrisr_400_8500_PYPIT.json | -| NeI | 8856.2980 | 1 | 0 | 27000 | ldt_deveny_600_Ne | | NeI | 8921.9496 | 1 | 19 | 6400 | not_alfosc_linelists | -| NeI | 8991.0240 | 1 | 0 | 1800 | ldt_deveny_600_Ne | | NeI | 9151.1829 | 1 | 19 | 12000 | not_alfosc_linelists | | NeI | 9204.2841 | 1 | 9 | 2334 | lrisr_400_8500_PYPIT.json | | NeI | 9329.0663 | 1 | 16 | 6900 | deimos_830g_pypeit_manual | -| NeI | 9375.8796 | 1 | 0 | 1500 | ldt_deveny_600_Ne | | NeI | 9427.9655 | 1 | 16 | 4800 | deimos_830g_pypeit_manual | | NeI | 9461.8060 | 1 | 16 | 2800 | deimos_830g_pypeit_manual | | NeI | 9489.2849 | 1 | 16 | 5000 | deimos_830g_pypeit_manual | | NeI | 9536.7793 | 1 | 16 | 2334 | deimos_830g_r_PYPIT.json | -| NeI | 9668.0709 | 1 | 0 | 2800 | ldt_deveny_600_Ne | | NeI | 11146.0715 | 1 | 16 | 26000 | deimos_830g_pypeit_manual | From d5d64e84112803b4bfc849b62e2253d2bfe0f6d4 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Mon, 22 May 2023 17:47:40 -0700 Subject: [PATCH 294/308] fix typo that got caught in mmt_binospec.py --- pypeit/spectrographs/mmt_binospec.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/spectrographs/mmt_binospec.py b/pypeit/spectrographs/mmt_binospec.py index f310105810..f3bc5d1983 100644 --- a/pypeit/spectrographs/mmt_binospec.py +++ b/pypeit/spectrographs/mmt_binospec.py @@ -384,7 +384,7 @@ def get_rawimage(self, raw_file, det): # Check for file; allow for extra .gz, etc. suffix fil = glob.glob(raw_file + '*') if len(fil) != 1: - msgs.error("Found {:d} files matching {:s}".format(len(fil))) + msgs.error("Found {:d} files matching {:s}".format(len(fil)), raw_file) # Read msgs.info("Reading BINOSPEC file: {:s}".format(fil[0])) From 0a2ca815379e1e9b36b350be7adaed4aacd11971 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Mon, 22 May 2023 17:49:03 -0700 Subject: [PATCH 295/308] rename extra_requires entries for pyqt and pyside to be version-agnostic; update them to pyqt6 and pyside6; edit docs and tox.ini to match --- doc/installing.rst | 51 +++++++++++++++++++++++----------------------- setup.cfg | 8 ++++---- tox.ini | 10 ++++----- 3 files changed, 35 insertions(+), 34 deletions(-) diff --git a/doc/installing.rst b/doc/installing.rst index b798721c00..4b3bd9f228 100644 --- a/doc/installing.rst +++ b/doc/installing.rst @@ -53,7 +53,7 @@ or `conda`_: .. code-block:: console - conda create -n pypeit python=3.9 + conda create -n pypeit python=3.11 conda activate pypeit See the `Virtualenv documentation `_ @@ -74,15 +74,15 @@ either .. code-block:: console - pip install "pypeit[pyqt5]" + pip install "pypeit[pyqt]" -to select the ``PyQT5`` QT bindings or +to select the ``PyQT`` QT bindings or .. code-block:: console - pip install "pypeit[pyside2]" + pip install "pypeit[pyside]" -to select ``PySide2``; see :ref:`interactive`. +to select ``PySide``; see :ref:`interactive`. .. note:: @@ -106,16 +106,16 @@ PypeIt has a few optional dependencies that improve and/or expand functionality. .. code-block:: console - pip install "pypeit[pyside2,scikit-image]" + pip install "pypeit[pyside,scikit-image]" - To take advantage of an interface that allows you to ingest PypeIt outputs into its ``Spectrum1D`` and ``SpectrumList`` objects (see :ref:`spec-1d-output`), you can include `specutils`_ in the installation like so: - + .. code-block:: console - pip install "pypeit[pyqt5,specutils]" + pip install "pypeit[pyqt,specutils]" Upgrading to a new version via ``pip`` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -314,7 +314,7 @@ Quick-Look Calibration Files installation scripts described below every time you upgrade your installation (via `pip`_ or `conda`_). -Some of the quick-look reductions provided by PypeIt require canned calibration +Some of the quick-look reductions provided by PypeIt require canned calibration files to speed up the data-reduction process, as appropriate for a quick-look result. These files are hosted in the ``QL_CALIB`` directory in the `PypeIt dev-suite Google Drive`_. @@ -362,16 +362,17 @@ Interactive tools in PypeIt are built using the `QT provide an abstract interface to the two most widely used QT bindings for Python (see :ref:`dependencies`): -* `pyqt5 `_ -* `PySide2 `_ +* `pyqt `_ +* `PySide `_ At least one of those bindings must be installed for the interative GUIs to work. **Do not install both!** These two packages do not play nicely together. -We strongly recommend that you use ``pyqt5``, unless you are attracted to the -more flexible licensing that ``PySide2`` provides. ``PySide2`` can occasionally +We strongly recommend that you use ``pyqt``, unless you are attracted to the +more flexible licensing that ``PySide`` provides. ``PySide`` can occasionally cause GUIs to crash because of conflicts with other packages in your environment -that use ``pyqt5`` (all the more reason to isolate your PypeIt installation -in its own environment). +that use ``pyqt`` (all the more reason to isolate your PypeIt installation +in its own environment). ``PySide`` plus its dependencies is also a signficantly +larger download than ``pyqt``. C code ------ @@ -410,7 +411,7 @@ GCC 12.x via ``homebrew``, you would get ``pypeit`` to use it by doing, for exam .. code-block:: console - CC=gcc-12 pip install "pypeit[pyqt5]" + CC=gcc-12 pip install "pypeit[pyqt]" Basically, ``pypeit`` checks the ``CC`` environment variable for what compiler to use so configure that as needed to use your desired compiler. The ``pypeit_c_enabled`` script can be used to check if @@ -455,8 +456,8 @@ PypeIt dependencies. If you run into any more, please `submit an issue .. TODO: IS THIS FIRST ITEM STILL TRUE? -- At the moment, an implicit dependency on QT bindings remains (either PyQT5 or - PySide2) because of our dependence on ``linetools``. +- At the moment, an implicit dependency on QT bindings remains (either PyQT or + PySide) because of our dependence on ``linetools``. ---- @@ -484,14 +485,14 @@ dependencies as well: .. code-block:: console - pip install --upgrade "git+https://github.com/pypeit/PypeIt#egg=pypeit[pyqt5]" + pip install --upgrade "git+https://github.com/pypeit/PypeIt#egg=pypeit[pyqt]" These commands will install the default branch, ``release``. You can also specify a different branch, such as the main ``develop`` branch: .. code-block:: console - pip install --upgrade "git+https://github.com/pypeit/PypeIt.git@develop#egg=pypeit[pyqt5]" + pip install --upgrade "git+https://github.com/pypeit/PypeIt.git@develop#egg=pypeit[pyqt]" Commit hashes, tag names, or git refs can also be specified; see the `VCS Support documentation @@ -518,13 +519,13 @@ Then install the code, include the development dependencies: .. code-block:: console cd PypeIt - pip install -e ".[dev,pyqt5]" + pip install -e ".[dev,pyqt]" An "editable" install means that any changes you make in the repository directory tree will become immediately available the next time the code is imported. Including the ``[dev]`` set of optional dependencies ensures that all -of the tools you need to test and build PypeIt are installed. The ``pyqt5`` -installation option instructs the script to use the PyQt5 Qt backend. You may +of the tools you need to test and build PypeIt are installed. The ``pyqt`` +installation option instructs the script to use the PyQt Qt backend. You may also want to include the ``bottleneck`` option. (Again, note that you may or may not need the quotes above depending on your shell, and that you should avoid cutting and pasting these commands into a terminal window.) @@ -569,7 +570,7 @@ For example: python >>> import pypeit -**To ensure that your installation of either ``pyqt5`` or ``pyside2`` works**, +**To ensure that your installation of either ``pyqt`` or ``pyside`` works**, you can try to use ``pypeit_show_1dspec`` on one of the test files distributed with the package. Below is a zshell command-line incantation (it's likely the same in bash) that will locate a test spec1D file and attempt to use @@ -579,7 +580,7 @@ same in bash) that will locate a test spec1D file and attempt to use python -c "from pkg_resources import resource_filename; print(resource_filename('pypeit', 'tests/files/spec1d_r153-J0025-0312_KASTr_20150123T025323.850.fits'))" | xargs -I {} pypeit_show_1dspec {} -If ``pyqt5`` or ``pypside2`` are correctly installed, this should show a test +If ``pyqt`` or ``pypside`` are correctly installed, this should show a test spectrum from the Shane/KAST spectrograph. Developer Tests diff --git a/setup.cfg b/setup.cfg index 2e8bb7cd02..e0a32405a7 100644 --- a/setup.cfg +++ b/setup.cfg @@ -59,10 +59,10 @@ scikit-image = scikit-image specutils = specutils -pyside2 = - pyside2>=5.0 -pyqt5 = - pyqt5 +pyqt = + pyqt6 +pyside = + pyside6 test = pytest>=6.0.0 pytest-astropy diff --git a/tox.ini b/tox.ini index 556cb5a1b6..15b5fdd2dd 100644 --- a/tox.ini +++ b/tox.ini @@ -1,6 +1,6 @@ [tox] envlist = - py{39,310,311}-test{,-alldeps,-pyside2,-pyqt5,-shapely,-specutils}{,-cov} + py{39,310,311}-test{,-alldeps,-pyqt,-pyside,-shapely,-specutils}{,-cov} py{39,310,311}-test-numpy{120,121,122,123} py{39,310,311}-test-astropylts py{39,310,311}-test-{numpy,astropy,linetools,ginga}dev @@ -65,9 +65,9 @@ deps = # The following indicates which extras_require from setup.cfg will be installed extras = test - alldeps: pyside2,pyqt5,shapely,specutils - pyside2: pyside2 - pyqt5: pyqt5 + alldeps: pyqt,shapely,specutils,scikit-image + pyqt: pyqt + pyside: pyside shapely: shapely specutils: specutils @@ -87,6 +87,6 @@ commands = pycodestyle pypeit --count --select=E9 [testenv:conda] description = run tests in environment created via conda requires = tox-conda -conda_deps = numpy,astropy,scipy,bottleneck +conda_deps = numpy,astropy,scipy,bottleneck,pyqt conda_env = {toxinidir}/environment.yml commands = pytest --pyargs pypeit {posargs} From 21a0e62f55d271d7e68c0ec28b8902c4a54a146d Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Tue, 23 May 2023 14:38:34 -0700 Subject: [PATCH 296/308] tweak install doc to always suggest pyqt by default --- doc/installing.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/installing.rst b/doc/installing.rst index 4b3bd9f228..2e152020d8 100644 --- a/doc/installing.rst +++ b/doc/installing.rst @@ -106,7 +106,7 @@ PypeIt has a few optional dependencies that improve and/or expand functionality. .. code-block:: console - pip install "pypeit[pyside,scikit-image]" + pip install "pypeit[pyqt,scikit-image]" - To take advantage of an interface that allows you to ingest PypeIt outputs into its ``Spectrum1D`` and ``SpectrumList`` objects (see From 8cd4b97640a5f7fb30687ea44671f82a10fff3c8 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Tue, 30 May 2023 17:18:33 -0700 Subject: [PATCH 297/308] add pyqt6 to install_requires and update configuration and documentation to match --- doc/installing.rst | 69 ++++++++++++++++++---------------------------- setup.cfg | 5 +--- tox.ini | 10 ++----- 3 files changed, 30 insertions(+), 54 deletions(-) diff --git a/doc/installing.rst b/doc/installing.rst index 2e152020d8..559cf1a9fa 100644 --- a/doc/installing.rst +++ b/doc/installing.rst @@ -69,29 +69,11 @@ creates an environment for you. Install via ``pip`` ------------------- -To install the latest release of PypeIt and its required dependencies, execute -either +To install the latest release of PypeIt and its required dependencies, execute: .. code-block:: console - pip install "pypeit[pyqt]" - -to select the ``PyQT`` QT bindings or - -.. code-block:: console - - pip install "pypeit[pyside]" - -to select ``PySide``; see :ref:`interactive`. - -.. note:: - - Whether or not it is correct syntax to use the quotes in the commands above - depends on your shell. The above commands are specific to ZShell, whereas - you don't need the quotes in Bash. But, in any case, you should avoid - copying these commands from your browser since the unicode for quotation - marks may not be correct, leading to errors when they are directly pasted - into a terminal window. + pip install pypeit .. _optional-dependencies: @@ -106,7 +88,7 @@ PypeIt has a few optional dependencies that improve and/or expand functionality. .. code-block:: console - pip install "pypeit[pyqt,scikit-image]" + pip install "pypeit[scikit-image]" - To take advantage of an interface that allows you to ingest PypeIt outputs into its ``Spectrum1D`` and ``SpectrumList`` objects (see @@ -115,7 +97,16 @@ PypeIt has a few optional dependencies that improve and/or expand functionality. .. code-block:: console - pip install "pypeit[pyqt,specutils]" + pip install "pypeit[specutils]" + +.. note:: + + Whether or not it is correct syntax to use the quotes in the commands above + depends on your shell. The above commands are specific to ZShell, whereas + you don't need the quotes in Bash. But, in any case, you should avoid + copying these commands from your browser since the unicode for quotation + marks may not be correct, leading to errors when they are directly pasted + into a terminal window. Upgrading to a new version via ``pip`` ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -366,13 +357,10 @@ Python (see :ref:`dependencies`): * `PySide `_ At least one of those bindings must be installed for the interative GUIs to -work. **Do not install both!** These two packages do not play nicely together. -We strongly recommend that you use ``pyqt``, unless you are attracted to the -more flexible licensing that ``PySide`` provides. ``PySide`` can occasionally -cause GUIs to crash because of conflicts with other packages in your environment -that use ``pyqt`` (all the more reason to isolate your PypeIt installation -in its own environment). ``PySide`` plus its dependencies is also a signficantly -larger download than ``pyqt``. +work. By default ``pypeit`` will install ``pyqt6``. Other backends can be used +by installing them manually via ``pip`` or ``conda`` and then setting the ``QT_API`` +environment variable. See the `QtPy documentation `_ +for more details. C code ------ @@ -411,7 +399,7 @@ GCC 12.x via ``homebrew``, you would get ``pypeit`` to use it by doing, for exam .. code-block:: console - CC=gcc-12 pip install "pypeit[pyqt]" + CC=gcc-12 pip install pypeit Basically, ``pypeit`` checks the ``CC`` environment variable for what compiler to use so configure that as needed to use your desired compiler. The ``pypeit_c_enabled`` script can be used to check if @@ -456,8 +444,7 @@ PypeIt dependencies. If you run into any more, please `submit an issue .. TODO: IS THIS FIRST ITEM STILL TRUE? -- At the moment, an implicit dependency on QT bindings remains (either PyQT or - PySide) because of our dependence on ``linetools``. +- At the moment, an implicit dependency on QT bindings remains because of our dependence on ``linetools``. ---- @@ -485,14 +472,14 @@ dependencies as well: .. code-block:: console - pip install --upgrade "git+https://github.com/pypeit/PypeIt#egg=pypeit[pyqt]" + pip install --upgrade "git+https://github.com/pypeit/PypeIt#egg=pypeit" These commands will install the default branch, ``release``. You can also specify a different branch, such as the main ``develop`` branch: .. code-block:: console - pip install --upgrade "git+https://github.com/pypeit/PypeIt.git@develop#egg=pypeit[pyqt]" + pip install --upgrade "git+https://github.com/pypeit/PypeIt.git@develop#egg=pypeit" Commit hashes, tag names, or git refs can also be specified; see the `VCS Support documentation @@ -519,16 +506,14 @@ Then install the code, include the development dependencies: .. code-block:: console cd PypeIt - pip install -e ".[dev,pyqt]" + pip install -e ".[dev]" An "editable" install means that any changes you make in the repository directory tree will become immediately available the next time the code is imported. Including the ``[dev]`` set of optional dependencies ensures that all -of the tools you need to test and build PypeIt are installed. The ``pyqt`` -installation option instructs the script to use the PyQt Qt backend. You may -also want to include the ``bottleneck`` option. (Again, note that you may or may -not need the quotes above depending on your shell, and that you should avoid -cutting and pasting these commands into a terminal window.) +of the tools you need to test and build PypeIt are installed. (Again, note that +you may or may not need the quotes above depending on your shell, and that you +should avoid cutting and pasting these commands into a terminal window.) Finally, you may want to add lines to your relevant shell configuration file (e.g., ``.zshrc`` or ``.bashrc``) that activate the relevant environment @@ -570,7 +555,7 @@ For example: python >>> import pypeit -**To ensure that your installation of either ``pyqt`` or ``pyside`` works**, +**To ensure that your installation of ``pyqt6`` works**, you can try to use ``pypeit_show_1dspec`` on one of the test files distributed with the package. Below is a zshell command-line incantation (it's likely the same in bash) that will locate a test spec1D file and attempt to use @@ -580,7 +565,7 @@ same in bash) that will locate a test spec1D file and attempt to use python -c "from pkg_resources import resource_filename; print(resource_filename('pypeit', 'tests/files/spec1d_r153-J0025-0312_KASTr_20150123T025323.850.fits'))" | xargs -I {} pypeit_show_1dspec {} -If ``pyqt`` or ``pypside`` are correctly installed, this should show a test +If ``pyqt6`` or another Qt backend is correctly installed, this should show a test spectrum from the Shane/KAST spectrograph. Developer Tests diff --git a/setup.cfg b/setup.cfg index e0a32405a7..bbb6f42214 100644 --- a/setup.cfg +++ b/setup.cfg @@ -47,6 +47,7 @@ install_requires = qtpy>=1.9 pygithub bottleneck + pyqt6 scripts = bin/pypeit_c_enabled bin/pypeit_chk_plugins @@ -59,10 +60,6 @@ scikit-image = scikit-image specutils = specutils -pyqt = - pyqt6 -pyside = - pyside6 test = pytest>=6.0.0 pytest-astropy diff --git a/tox.ini b/tox.ini index 15b5fdd2dd..a7b98688ab 100644 --- a/tox.ini +++ b/tox.ini @@ -1,8 +1,7 @@ [tox] envlist = - py{39,310,311}-test{,-alldeps,-pyqt,-pyside,-shapely,-specutils}{,-cov} + py{39,310,311}-test{,-alldeps,-shapely,-specutils}{,-cov} py{39,310,311}-test-numpy{120,121,122,123} - py{39,310,311}-test-astropylts py{39,310,311}-test-{numpy,astropy,linetools,ginga}dev codestyle requires = @@ -42,7 +41,6 @@ description = numpy122: with numpy 1.22.* numpy123: with numpy 1.23.* numpy124: with numpy 1.24.* - astropylts: with the latest astropy LTS # The following provides some specific pinnings for key packages deps = @@ -54,8 +52,6 @@ deps = numpy123: numpy==1.23.* numpy124: numpy==1.24.* - astropylts: astropy==5.0.* - numpydev: numpy>=0.0.dev0 astropydev: git+https://github.com/astropy/astropy.git#egg=astropy @@ -65,9 +61,7 @@ deps = # The following indicates which extras_require from setup.cfg will be installed extras = test - alldeps: pyqt,shapely,specutils,scikit-image - pyqt: pyqt - pyside: pyside + alldeps: shapely,specutils,scikit-image shapely: shapely specutils: specutils From 92321bcb32b4f6b0d8f008a7bdaa1a8e5697c214 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Wed, 31 May 2023 17:12:55 -0700 Subject: [PATCH 298/308] tweak pyqt in conda dependencies to allow >=5.0; add conda config for making a test environment --- environment-test.yml | 29 +++++++++++++++++++++++++++++ environment.yml | 2 +- 2 files changed, 30 insertions(+), 1 deletion(-) create mode 100644 environment-test.yml diff --git a/environment-test.yml b/environment-test.yml new file mode 100644 index 0000000000..6854a2d342 --- /dev/null +++ b/environment-test.yml @@ -0,0 +1,29 @@ +name: pypeit +channels: + - conda-forge + - defaults +dependencies: + - python>=3.9,<3.12 + - pyyaml>=5.4 + - requests>=2.26 + - packaging>=21.0 + - numpy>=1.21 + - scipy>=1.7 + - scikit-learn>=1.0 + - astropy>=4.3 + - setuptools>=46.4 + - matplotlib>=3.4 + - configobj>=5.0.6 + - ipython>=7.27 + - extension-helpers>=0.1 + - ginga>=3.2 + - qtpy>=1.11 + - pyqt>=5.0 + - pytest>=6.2 + - bottleneck + - scikit-image + - pygithub + - pip + - linetools>=0.3dev2231 + - pip: + - specutils diff --git a/environment.yml b/environment.yml index 987c2ce301..4d634f5f8d 100644 --- a/environment.yml +++ b/environment.yml @@ -18,7 +18,7 @@ dependencies: - extension-helpers>=0.1 - ginga>=3.2 - qtpy>=1.11 - - pyqt<6.0 + - pyqt>=5.0 - pytest>=6.2 - bottleneck - scikit-image From 4a529195dc327bd92105dd70f41f804930bf6e0d Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Wed, 31 May 2023 17:49:58 -0700 Subject: [PATCH 299/308] modify centos test to use conda to set up environment and install dependencies. this is a way to work around the pyqt6 pip dependency that doesn't work on older platforms. --- .github/workflows/ci_tests.yml | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/.github/workflows/ci_tests.yml b/.github/workflows/ci_tests.yml index 02080871aa..497a19e979 100644 --- a/.github/workflows/ci_tests.yml +++ b/.github/workflows/ci_tests.yml @@ -68,15 +68,13 @@ jobs: # Some PypeIt users have to run under CentOS and have run into unique issues. GitHub Actions does not # provide CentOS as a runtime environment like it does Ubuntu. However, it can be used by running # it as a container within a provided Ubuntu environment. - name: CentOS ${{ matrix.centos_ver }} ${{ matrix.toxenv }} + name: CentOS ${{ matrix.centos_ver }} using conda runs-on: ubuntu-latest strategy: matrix: # Test CentOS 7 centos_ver: [7] - # Test both pip and conda for installing dependencies - toxenv: [test-alldeps, conda] container: image: "centos:${{ matrix.centos_ver }}" @@ -97,12 +95,12 @@ jobs: bash ./miniconda.sh -b -p /conda /conda/bin/conda update -y --all /conda/bin/conda init - - name: Install base dependencies + - name: Set up conda environment and install base dependencies run: | - source ~/.bashrc && python -m pip install --upgrade pip tox setuptools_scm && python --version - - name: Test with tox + source ~/.bashrc && conda env create -f environment-test.yml + - name: Test with pytest within the conda environment run: | - source ~/.bashrc && tox -e ${{ matrix.toxenv }} + source ~/.bashrc && conda activate pypeit-test && pip install -e .[test] --no-deps && pytest codestyle: runs-on: ubuntu-latest From 8eeb81b5da79c7f6692bbc42f648fbb24abea481 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Wed, 31 May 2023 18:03:57 -0700 Subject: [PATCH 300/308] fix env name in centos test --- .github/workflows/ci_tests.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci_tests.yml b/.github/workflows/ci_tests.yml index 497a19e979..87231b7b0d 100644 --- a/.github/workflows/ci_tests.yml +++ b/.github/workflows/ci_tests.yml @@ -100,7 +100,7 @@ jobs: source ~/.bashrc && conda env create -f environment-test.yml - name: Test with pytest within the conda environment run: | - source ~/.bashrc && conda activate pypeit-test && pip install -e .[test] --no-deps && pytest + source ~/.bashrc && conda activate pypeit && pip install -e .[test] --no-deps && pytest codestyle: runs-on: ubuntu-latest From 341a1bc7939cacbbd6881f6bf9cb43709412c51e Mon Sep 17 00:00:00 2001 From: deborape Date: Wed, 31 May 2023 17:46:30 -1000 Subject: [PATCH 301/308] fix it --- pypeit/display/display.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/display/display.py b/pypeit/display/display.py index 0d388deae8..26e80f0f5b 100644 --- a/pypeit/display/display.py +++ b/pypeit/display/display.py @@ -435,8 +435,8 @@ def show_slits(viewer, ch, left, right, slit_ids=None, left_ids=None, right_ids= # maskdef_ids if _maskdef_ids is not None: canvas_list += [dict(type='text', - args=(float(y[bot, i]), float(_slit_id_loc[bot,i])-250, str('S{0}'.format(_slit_ids[i]))) if rotate - else (float(_slit_id_loc[bot,i]), float(y[bot, i])-250, str('S{0}'.format(_slit_ids[i]))), + args=(float(y[bot, i]), float(_slit_id_loc[bot,i])-250, str('{0}'.format(_maskdef_ids[i]))) if rotate + else (float(_slit_id_loc[bot,i]), float(y[bot, i])-250, str('{0}'.format(_maskdef_ids[i]))), kwargs=dict(color=str('cyan'), fontsize=20., rot_deg=90.)) for i in range(nslits)] canvas.add('constructedcanvas', canvas_list) From d4a3850f13ef68a90680a69849305d9a51bf3435 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Thu, 1 Jun 2023 15:56:18 -0700 Subject: [PATCH 302/308] conda_deps is redundant since we're specifying a conda_env file for setting up test env --- tox.ini | 1 - 1 file changed, 1 deletion(-) diff --git a/tox.ini b/tox.ini index a7b98688ab..13cffacbb2 100644 --- a/tox.ini +++ b/tox.ini @@ -81,6 +81,5 @@ commands = pycodestyle pypeit --count --select=E9 [testenv:conda] description = run tests in environment created via conda requires = tox-conda -conda_deps = numpy,astropy,scipy,bottleneck,pyqt conda_env = {toxinidir}/environment.yml commands = pytest --pyargs pypeit {posargs} From 590d5139922373cb7b21ccf42370933fc2161c80 Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Thu, 1 Jun 2023 15:56:46 -0700 Subject: [PATCH 303/308] nuke troublesome centos7 test --- .github/workflows/ci_tests.yml | 40 +--------------------------------- 1 file changed, 1 insertion(+), 39 deletions(-) diff --git a/.github/workflows/ci_tests.yml b/.github/workflows/ci_tests.yml index 87231b7b0d..7f8526535d 100644 --- a/.github/workflows/ci_tests.yml +++ b/.github/workflows/ci_tests.yml @@ -64,44 +64,6 @@ jobs: run: | tox -e ${{ matrix.toxenv }} - centos: - # Some PypeIt users have to run under CentOS and have run into unique issues. GitHub Actions does not - # provide CentOS as a runtime environment like it does Ubuntu. However, it can be used by running - # it as a container within a provided Ubuntu environment. - name: CentOS ${{ matrix.centos_ver }} using conda - runs-on: ubuntu-latest - - strategy: - matrix: - # Test CentOS 7 - centos_ver: [7] - - container: - image: "centos:${{ matrix.centos_ver }}" - - steps: - - name: Install base CentOS dependencies - run: | - yum install -y https://packages.endpointdev.com/rhel/7/os/x86_64/endpoint-repo.x86_64.rpm - yum update -y && yum install -y wget git gcc libgomp - - name: Check out repository - uses: actions/checkout@v3 - with: - fetch-depth: 0 - - name: Install and configure miniconda - # Restrict to 3.9 until we migrate to 3.10 - run: | - wget https://repo.anaconda.com/miniconda/Miniconda3-py39_22.11.1-1-Linux-x86_64.sh -O miniconda.sh - bash ./miniconda.sh -b -p /conda - /conda/bin/conda update -y --all - /conda/bin/conda init - - name: Set up conda environment and install base dependencies - run: | - source ~/.bashrc && conda env create -f environment-test.yml - - name: Test with pytest within the conda environment - run: | - source ~/.bashrc && conda activate pypeit && pip install -e .[test] --no-deps && pytest - codestyle: runs-on: ubuntu-latest steps: @@ -109,7 +71,7 @@ jobs: - name: Python codestyle check uses: actions/setup-python@v4 with: - python-version: '3.10' + python-version: '3.11' - name: Install base dependencies run: | python -m pip install --upgrade pip From 57811e2ddcacfb841e6c072fe771d7f3b46eab5e Mon Sep 17 00:00:00 2001 From: "T. E. Pickering" Date: Thu, 1 Jun 2023 16:50:56 -0700 Subject: [PATCH 304/308] remove env file the centos test used --- environment-test.yml | 29 ----------------------------- 1 file changed, 29 deletions(-) delete mode 100644 environment-test.yml diff --git a/environment-test.yml b/environment-test.yml deleted file mode 100644 index 6854a2d342..0000000000 --- a/environment-test.yml +++ /dev/null @@ -1,29 +0,0 @@ -name: pypeit -channels: - - conda-forge - - defaults -dependencies: - - python>=3.9,<3.12 - - pyyaml>=5.4 - - requests>=2.26 - - packaging>=21.0 - - numpy>=1.21 - - scipy>=1.7 - - scikit-learn>=1.0 - - astropy>=4.3 - - setuptools>=46.4 - - matplotlib>=3.4 - - configobj>=5.0.6 - - ipython>=7.27 - - extension-helpers>=0.1 - - ginga>=3.2 - - qtpy>=1.11 - - pyqt>=5.0 - - pytest>=6.2 - - bottleneck - - scikit-image - - pygithub - - pip - - linetools>=0.3dev2231 - - pip: - - specutils From 49341b253ceed377ec1493c3bb9594d6452a40fb Mon Sep 17 00:00:00 2001 From: Frederick Davies Date: Fri, 2 Jun 2023 14:30:07 +0200 Subject: [PATCH 305/308] typo fix --- pypeit/scripts/tellfit.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/scripts/tellfit.py b/pypeit/scripts/tellfit.py index 64bf3bf6e9..9e2ec8f2d7 100644 --- a/pypeit/scripts/tellfit.py +++ b/pypeit/scripts/tellfit.py @@ -177,7 +177,7 @@ def main(args): only_orders=par['telluric']['only_orders'], mask_hydrogen_lines=par['sensfunc']['mask_hydrogen_lines'], mask_helium_lines=par['sensfunc']['mask_helium_lines'], - hydrogen_mask_wid=par['sensfunc']['hydrogen_masl_wid'], + hydrogen_mask_wid=par['sensfunc']['hydrogen_mask_wid'], delta_coeff_bounds=par['telluric']['delta_coeff_bounds'], minmax_coeff_bounds=par['telluric']['minmax_coeff_bounds'], maxiter=par['telluric']['maxiter'], From c15dfb74b6525bcfa7d6234ce03089318889c7a7 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 2 Jun 2023 08:58:19 -0700 Subject: [PATCH 306/308] doc update --- doc/help/pypeit_cache_github_data.rst | 2 +- doc/help/pypeit_chk_alignments.rst | 2 +- doc/help/pypeit_chk_edges.rst | 2 +- doc/help/pypeit_chk_flats.rst | 2 +- doc/help/pypeit_chk_for_calibs.rst | 2 +- doc/help/pypeit_chk_noise_1dspec.rst | 2 +- doc/help/pypeit_chk_noise_2dspec.rst | 2 +- doc/help/pypeit_chk_tilts.rst | 2 +- doc/help/pypeit_chk_wavecalib.rst | 2 +- doc/help/pypeit_coadd_1dspec.rst | 2 +- doc/help/pypeit_coadd_2dspec.rst | 2 +- doc/help/pypeit_coadd_datacube.rst | 2 +- doc/help/pypeit_collate_1d.rst | 2 +- doc/help/pypeit_compare_sky.rst | 2 +- doc/help/pypeit_flux_calib.rst | 2 +- doc/help/pypeit_flux_setup.rst | 2 +- doc/help/pypeit_identify.rst | 2 +- doc/help/pypeit_install_extinctfile.rst | 2 +- doc/help/pypeit_install_linelist.rst | 2 +- doc/help/pypeit_install_ql_calibs.rst | 2 +- doc/help/pypeit_install_telluric.rst | 2 +- doc/help/pypeit_lowrdx_skyspec.rst | 2 +- doc/help/pypeit_multislit_flexure.rst | 2 +- doc/help/pypeit_obslog.rst | 2 +- doc/help/pypeit_parse_slits.rst | 2 +- doc/help/pypeit_qa_html.rst | 2 +- doc/help/pypeit_ql.rst | 2 +- doc/help/pypeit_ql_multislit.rst | 5 +- doc/help/pypeit_sensfunc.rst | 2 +- doc/help/pypeit_setup.rst | 6 +-- doc/help/pypeit_setup_coadd2d.rst | 2 +- doc/help/pypeit_show_1dspec.rst | 2 +- doc/help/pypeit_show_2dspec.rst | 2 +- doc/help/pypeit_show_arxiv.rst | 2 +- doc/help/pypeit_show_wvcalib.rst | 2 +- doc/help/pypeit_skysub_regions.rst | 2 +- doc/help/pypeit_tellfit.rst | 2 +- doc/help/pypeit_trace_edges.rst | 2 +- doc/help/pypeit_view_fits.rst | 2 +- doc/help/run_pypeit.rst | 4 +- doc/include/dependencies_table.rst | 10 ++-- doc/include/gemini_gnirs_A.pypeit.rst | 2 +- doc/include/keck_deimos.sorted.rst | 8 ++-- doc/include/keck_deimos_A.pypeit.rst | 2 +- doc/include/keck_nires_A.pypeit.rst | 2 +- doc/include/shane_kast_blue_A.pypeit.rst | 2 +- doc/pypeit_par.rst | 60 ++++++++++++------------ doc/releases/1.13.0.rst | 60 ++++++++++++++++++++++++ 48 files changed, 147 insertions(+), 88 deletions(-) create mode 100644 doc/releases/1.13.0.rst diff --git a/doc/help/pypeit_cache_github_data.rst b/doc/help/pypeit_cache_github_data.rst index 2edc890ebc..5948f93d00 100644 --- a/doc/help/pypeit_cache_github_data.rst +++ b/doc/help/pypeit_cache_github_data.rst @@ -25,7 +25,7 @@ vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of GitHub file (default: False) \ No newline at end of file diff --git a/doc/help/pypeit_chk_alignments.rst b/doc/help/pypeit_chk_alignments.rst index 440eb0b0ef..a68e12c7ca 100644 --- a/doc/help/pypeit_chk_alignments.rst +++ b/doc/help/pypeit_chk_alignments.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Alignment file [e.g. Alignment_A_1_DET01.fits] - optional arguments: + options: -h, --help show this help message and exit --chname CHNAME Channel name for image in Ginga (default: Alignments) \ No newline at end of file diff --git a/doc/help/pypeit_chk_edges.rst b/doc/help/pypeit_chk_edges.rst index f226c14e5a..4476e1d79d 100644 --- a/doc/help/pypeit_chk_edges.rst +++ b/doc/help/pypeit_chk_edges.rst @@ -8,7 +8,7 @@ positional arguments: trace_file PypeIt Edges file [e.g. Edges_A_0_DET01.fits.gz] - optional arguments: + options: -h, --help show this help message and exit --mpl Use a matplotlib window instead of ginga to show the trace (default: False) diff --git a/doc/help/pypeit_chk_flats.rst b/doc/help/pypeit_chk_flats.rst index fc04d50177..91f2178cb3 100644 --- a/doc/help/pypeit_chk_flats.rst +++ b/doc/help/pypeit_chk_flats.rst @@ -8,7 +8,7 @@ positional arguments: file PypeIt Flat file [e.g. Flat_A_1_DET01.fits] - optional arguments: + options: -h, --help show this help message and exit --type TYPE Which flats to display. Must be one of: pixel, illum, all (default: all) diff --git a/doc/help/pypeit_chk_for_calibs.rst b/doc/help/pypeit_chk_for_calibs.rst index c48c189260..34b2c930bc 100644 --- a/doc/help/pypeit_chk_for_calibs.rst +++ b/doc/help/pypeit_chk_for_calibs.rst @@ -10,7 +10,7 @@ positional arguments: root File path+root, e.g. /data/Kast/b - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, diff --git a/doc/help/pypeit_chk_noise_1dspec.rst b/doc/help/pypeit_chk_noise_1dspec.rst index 6d8b176f81..80fa4e2613 100644 --- a/doc/help/pypeit_chk_noise_1dspec.rst +++ b/doc/help/pypeit_chk_noise_1dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec1d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --fileformat FILEFORMAT Is this coadd1d or spec1d? (default: spec1d) diff --git a/doc/help/pypeit_chk_noise_2dspec.rst b/doc/help/pypeit_chk_noise_2dspec.rst index d5be3f1c5b..fc20909467 100644 --- a/doc/help/pypeit_chk_noise_2dspec.rst +++ b/doc/help/pypeit_chk_noise_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: files PypeIt spec2d file(s) (default: None) - optional arguments: + options: -h, --help show this help message and exit --det DET Detector name or number. If a number, the name is constructed assuming the reduction is for a single diff --git a/doc/help/pypeit_chk_tilts.rst b/doc/help/pypeit_chk_tilts.rst index bf2db93a7f..b286323586 100644 --- a/doc/help/pypeit_chk_tilts.rst +++ b/doc/help/pypeit_chk_tilts.rst @@ -9,7 +9,7 @@ positional arguments: file PypeIt Tilts file [e.g. Tilt_A_1_01.fits] - optional arguments: + options: -h, --help show this help message and exit --mpl Use a matplotlib window instead of ginga to show the tilts. Faster plotting. (default: False) diff --git a/doc/help/pypeit_chk_wavecalib.rst b/doc/help/pypeit_chk_wavecalib.rst index 75b3317647..6835c646a2 100644 --- a/doc/help/pypeit_chk_wavecalib.rst +++ b/doc/help/pypeit_chk_wavecalib.rst @@ -9,6 +9,6 @@ input_file PypeIt WaveCalib file [e.g. WaveCalib_A_1_DET01.fits] or spec2d file - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_coadd_1dspec.rst b/doc/help/pypeit_coadd_1dspec.rst index 7cb6e00a1b..70e09065cf 100644 --- a/doc/help/pypeit_coadd_1dspec.rst +++ b/doc/help/pypeit_coadd_1dspec.rst @@ -50,7 +50,7 @@ placed in the same directory as the first spec1d file. - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --show show QA during coadding process diff --git a/doc/help/pypeit_coadd_2dspec.rst b/doc/help/pypeit_coadd_2dspec.rst index fdc7680fb5..53cb0d2e57 100644 --- a/doc/help/pypeit_coadd_2dspec.rst +++ b/doc/help/pypeit_coadd_2dspec.rst @@ -12,7 +12,7 @@ positional arguments: coadd2d_file File to guide 2d coadds - optional arguments: + options: -h, --help show this help message and exit --show Show the reduction steps. Equivalent to the -s option when running pypeit. (default: False) diff --git a/doc/help/pypeit_coadd_datacube.rst b/doc/help/pypeit_coadd_datacube.rst index d985b4adb1..8443926bdf 100644 --- a/doc/help/pypeit_coadd_datacube.rst +++ b/doc/help/pypeit_coadd_datacube.rst @@ -8,7 +8,7 @@ positional arguments: file filename.coadd3d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_collate_1d.rst b/doc/help/pypeit_collate_1d.rst index e33778feff..c8ae8adc92 100644 --- a/doc/help/pypeit_collate_1d.rst +++ b/doc/help/pypeit_collate_1d.rst @@ -42,7 +42,7 @@ ... end - optional arguments: + options: -h, --help show this help message and exit --spec1d_files [SPEC1D_FILES ...] One or more spec1d files to flux/coadd/archive. Can diff --git a/doc/help/pypeit_compare_sky.rst b/doc/help/pypeit_compare_sky.rst index b76f647862..9e2f02f7d1 100644 --- a/doc/help/pypeit_compare_sky.rst +++ b/doc/help/pypeit_compare_sky.rst @@ -12,7 +12,7 @@ file spec1d Spectral file skyfile Archived PypeIt sky file (e.g. paranal_sky.fits) - optional arguments: + options: -h, --help show this help message and exit --exten EXTEN FITS extension (default: None) --optimal Show Optimal? Default is boxcar (default: False) diff --git a/doc/help/pypeit_flux_calib.rst b/doc/help/pypeit_flux_calib.rst index 769f27aae3..2794ddf7f3 100644 --- a/doc/help/pypeit_flux_calib.rst +++ b/doc/help/pypeit_flux_calib.rst @@ -46,7 +46,7 @@ spectrographs: keck_deimos - optional arguments: + options: -h, --help show this help message and exit --debug show debug plots? --par_outfile Output to save the parameters diff --git a/doc/help/pypeit_flux_setup.rst b/doc/help/pypeit_flux_setup.rst index a0dac7e6fe..83b3fbb379 100644 --- a/doc/help/pypeit_flux_setup.rst +++ b/doc/help/pypeit_flux_setup.rst @@ -8,7 +8,7 @@ positional arguments: sci_path Path for Science folder - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the telluric fitting. The diff --git a/doc/help/pypeit_identify.rst b/doc/help/pypeit_identify.rst index 3e27016944..b209265a07 100644 --- a/doc/help/pypeit_identify.rst +++ b/doc/help/pypeit_identify.rst @@ -13,7 +13,7 @@ arc_file PypeIt Arc file slits_file PypeIt Slits file - optional arguments: + options: -h, --help show this help message and exit --lamps LAMPS Comma separated list of calibration lamps (no spaces) (default: None) diff --git a/doc/help/pypeit_install_extinctfile.rst b/doc/help/pypeit_install_extinctfile.rst index 64090f4d10..6afa788341 100644 --- a/doc/help/pypeit_install_extinctfile.rst +++ b/doc/help/pypeit_install_extinctfile.rst @@ -9,6 +9,6 @@ files Filename(s) of the extinction file(s) to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_linelist.rst b/doc/help/pypeit_install_linelist.rst index af1bbe414c..be23b96a96 100644 --- a/doc/help/pypeit_install_linelist.rst +++ b/doc/help/pypeit_install_linelist.rst @@ -9,6 +9,6 @@ files Filename(s) of the line list files to be installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_install_ql_calibs.rst b/doc/help/pypeit_install_ql_calibs.rst index 0299360259..9785d3dcf6 100644 --- a/doc/help/pypeit_install_ql_calibs.rst +++ b/doc/help/pypeit_install_ql_calibs.rst @@ -6,7 +6,7 @@ Script to install PypeIt QL calibration files - optional arguments: + options: -h, --help show this help message and exit --zip ZIP Zip file of the full QL_CALIB directory downloaded from the PypeIt Google Drive (default: None) diff --git a/doc/help/pypeit_install_telluric.rst b/doc/help/pypeit_install_telluric.rst index 8eb93ed9b6..387b524076 100644 --- a/doc/help/pypeit_install_telluric.rst +++ b/doc/help/pypeit_install_telluric.rst @@ -10,7 +10,7 @@ files Filename(s) of the TelFits files to be downloaded from the Cloud and installed in the PypeIt cache - optional arguments: + options: -h, --help show this help message and exit --force_update Force download of latest version of the telluric grid (default: False) diff --git a/doc/help/pypeit_lowrdx_skyspec.rst b/doc/help/pypeit_lowrdx_skyspec.rst index 86afed5c96..e1579a96fa 100644 --- a/doc/help/pypeit_lowrdx_skyspec.rst +++ b/doc/help/pypeit_lowrdx_skyspec.rst @@ -10,6 +10,6 @@ lowrdx_sky LowRedux Sky Spectrum (IDL save file) new_file PYPIT FITS sky spectrum - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_multislit_flexure.rst b/doc/help/pypeit_multislit_flexure.rst index a12e4d948e..4e748c2d5e 100644 --- a/doc/help/pypeit_multislit_flexure.rst +++ b/doc/help/pypeit_multislit_flexure.rst @@ -19,7 +19,7 @@ outroot Output fileroot for the flexure fits saved as FITS. - optional arguments: + options: -h, --help show this help message and exit --clobber Clobber output files --debug show debug plots? diff --git a/doc/help/pypeit_obslog.rst b/doc/help/pypeit_obslog.rst index 8ca1ccaf68..1f6e2b5290 100644 --- a/doc/help/pypeit_obslog.rst +++ b/doc/help/pypeit_obslog.rst @@ -30,7 +30,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit -r ROOT, --root ROOT Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string diff --git a/doc/help/pypeit_parse_slits.rst b/doc/help/pypeit_parse_slits.rst index 83ad2223d2..f58c4230f4 100644 --- a/doc/help/pypeit_parse_slits.rst +++ b/doc/help/pypeit_parse_slits.rst @@ -8,6 +8,6 @@ positional arguments: input_file Either a spec2D or Slits filename - optional arguments: + options: -h, --help show this help message and exit \ No newline at end of file diff --git a/doc/help/pypeit_qa_html.rst b/doc/help/pypeit_qa_html.rst index 3d8212496c..53e02ef3d0 100644 --- a/doc/help/pypeit_qa_html.rst +++ b/doc/help/pypeit_qa_html.rst @@ -9,7 +9,7 @@ pypeit_file PYPIT file type QA Type (MF, exp, all) - optional arguments: + options: -h, --help show this help message and exit --qapath QAPATH Path the QA folder including QA/) (default: QA/) \ No newline at end of file diff --git a/doc/help/pypeit_ql.rst b/doc/help/pypeit_ql.rst index e77de94ad6..f02e25d753 100644 --- a/doc/help/pypeit_ql.rst +++ b/doc/help/pypeit_ql.rst @@ -37,7 +37,7 @@ vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red - optional arguments: + options: -h, --help show this help message and exit --raw_files RAW_FILES [RAW_FILES ...] Either a PypeIt-formatted input file with the list of diff --git a/doc/help/pypeit_ql_multislit.rst b/doc/help/pypeit_ql_multislit.rst index 78bcfb64fa..ce83350892 100644 --- a/doc/help/pypeit_ql_multislit.rst +++ b/doc/help/pypeit_ql_multislit.rst @@ -34,7 +34,7 @@ full_rawpath Full path to the raw files files list of frames i.e. img1.fits img2.fits - optional arguments: + options: -h, --help show this help message and exit --spec_samp_fact SPEC_SAMP_FACT Make the wavelength grid finer (spec_samp_fact < 1.0) or @@ -67,8 +67,7 @@ (default: current working directory) --master_dir MASTER_DIR Location of PypeIt Master files used for the reduction. - (default: /Users/dpelliccia/Pypeit/PypeIt-development- - suite/QL_MASTERS) + (default: None) --embed Upon completion embed in ipython shell (default: False) --show Show the reduction steps. Equivalent to the -s option when running pypeit. (default: False) diff --git a/doc/help/pypeit_sensfunc.rst b/doc/help/pypeit_sensfunc.rst index 98969a583e..f7fbd5a38b 100644 --- a/doc/help/pypeit_sensfunc.rst +++ b/doc/help/pypeit_sensfunc.rst @@ -12,7 +12,7 @@ spec1dfile spec1d file for the standard that will be used to compute the sensitivity function - optional arguments: + options: -h, --help show this help message and exit --algorithm {UVIS,IR} Override the default algorithm for computing the diff --git a/doc/help/pypeit_setup.rst b/doc/help/pypeit_setup.rst index 2bee4db097..40dc9ceb1b 100644 --- a/doc/help/pypeit_setup.rst +++ b/doc/help/pypeit_setup.rst @@ -1,14 +1,14 @@ .. code-block:: console $ pypeit_setup -h - usage: pypeit_setup [-h] [-s SPECTROGRAPH] [-r [ROOT ...]] [-e EXTENSION] + usage: pypeit_setup [-h] [-s SPECTROGRAPH] [-r ROOT [ROOT ...]] [-e EXTENSION] [-d OUTPUT_PATH] [-o] [-c CFG_SPLIT] [-b] [-m] [-v VERBOSITY] [-k] Parse data files to construct a pypeit file in preparation for reduction using 'run_pypeit' - optional arguments: + options: -h, --help show this help message and exit -s SPECTROGRAPH, --spectrograph SPECTROGRAPH A valid spectrograph identifier: bok_bc, @@ -30,7 +30,7 @@ soar_goodman_red, tng_dolores, vlt_fors2, vlt_sinfoni, vlt_xshooter_nir, vlt_xshooter_uvb, vlt_xshooter_vis, wht_isis_blue, wht_isis_red (default: None) - -r [ROOT ...], --root [ROOT ...] + -r ROOT [ROOT ...], --root ROOT [ROOT ...] Root to search for data files. You can provide the top- level directory (e.g., /data/Kast) or the search string up through the wildcard (.e.g, /data/Kast/b). Use the diff --git a/doc/help/pypeit_setup_coadd2d.rst b/doc/help/pypeit_setup_coadd2d.rst index d24f115a9b..505042b1ae 100644 --- a/doc/help/pypeit_setup_coadd2d.rst +++ b/doc/help/pypeit_setup_coadd2d.rst @@ -8,7 +8,7 @@ Prepare a configuration file for performing 2D coadds - optional arguments: + options: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_show_1dspec.rst b/doc/help/pypeit_show_1dspec.rst index 373447417c..f137590c50 100644 --- a/doc/help/pypeit_show_1dspec.rst +++ b/doc/help/pypeit_show_1dspec.rst @@ -10,7 +10,7 @@ positional arguments: file Spectral file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --exten EXTEN FITS extension (default: 1) diff --git a/doc/help/pypeit_show_2dspec.rst b/doc/help/pypeit_show_2dspec.rst index 48c0b53909..9668a761c9 100644 --- a/doc/help/pypeit_show_2dspec.rst +++ b/doc/help/pypeit_show_2dspec.rst @@ -13,7 +13,7 @@ positional arguments: file Path to a PypeIt spec2d file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --det DET Detector name or number. If a number, the name is diff --git a/doc/help/pypeit_show_arxiv.rst b/doc/help/pypeit_show_arxiv.rst index 994672a54c..b8cb130a57 100644 --- a/doc/help/pypeit_show_arxiv.rst +++ b/doc/help/pypeit_show_arxiv.rst @@ -8,7 +8,7 @@ positional arguments: file Arxiv filename, e.g. gemini_gmos_r831_ham.fits - optional arguments: + options: -h, --help show this help message and exit --det DET Detector number (default: 1) \ No newline at end of file diff --git a/doc/help/pypeit_show_wvcalib.rst b/doc/help/pypeit_show_wvcalib.rst index 2b83ff5627..43684e9cc2 100644 --- a/doc/help/pypeit_show_wvcalib.rst +++ b/doc/help/pypeit_show_wvcalib.rst @@ -10,7 +10,7 @@ file WaveCalib file slit_order Slit or Order number - optional arguments: + options: -h, --help show this help message and exit --slit_file SLIT_FILE Slit file (default: None) diff --git a/doc/help/pypeit_skysub_regions.rst b/doc/help/pypeit_skysub_regions.rst index cbaa87e822..d5e887fde1 100644 --- a/doc/help/pypeit_skysub_regions.rst +++ b/doc/help/pypeit_skysub_regions.rst @@ -10,7 +10,7 @@ positional arguments: file spec2d file - optional arguments: + options: -h, --help show this help message and exit --det DET Detector (default: 1) -o, --overwrite Overwrite any existing files/directories (default: diff --git a/doc/help/pypeit_tellfit.rst b/doc/help/pypeit_tellfit.rst index ca4a4276ab..28ae52089d 100644 --- a/doc/help/pypeit_tellfit.rst +++ b/doc/help/pypeit_tellfit.rst @@ -11,7 +11,7 @@ positional arguments: spec1dfile spec1d file that will be used for telluric correction. - optional arguments: + options: -h, --help show this help message and exit --objmodel {qso,star,poly} science object model used in the fitting. The options diff --git a/doc/help/pypeit_trace_edges.rst b/doc/help/pypeit_trace_edges.rst index 9bebeb7c92..8a15d76819 100644 --- a/doc/help/pypeit_trace_edges.rst +++ b/doc/help/pypeit_trace_edges.rst @@ -8,7 +8,7 @@ Trace slit edges - optional arguments: + options: -h, --help show this help message and exit -f PYPEIT_FILE, --pypeit_file PYPEIT_FILE PypeIt reduction file (default: None) diff --git a/doc/help/pypeit_view_fits.rst b/doc/help/pypeit_view_fits.rst index efb4f521d9..406eb833da 100644 --- a/doc/help/pypeit_view_fits.rst +++ b/doc/help/pypeit_view_fits.rst @@ -30,7 +30,7 @@ wht_isis_blue, wht_isis_red file FITS file - optional arguments: + options: -h, --help show this help message and exit --list List the extensions only? (default: False) --proc Process the image (i.e. orient, overscan subtract, diff --git a/doc/help/run_pypeit.rst b/doc/help/run_pypeit.rst index d2520b206a..5cdfda7e56 100644 --- a/doc/help/run_pypeit.rst +++ b/doc/help/run_pypeit.rst @@ -4,7 +4,7 @@ usage: run_pypeit [-h] [-v VERBOSITY] [-r REDUX_PATH] [-m] [-s] [-o] [-c] pypeit_file - ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev377+g86a87f334.d20230510 + ## PypeIt : The Python Spectroscopic Data Reduction Pipeline v1.12.3.dev337+g096680b06.d20230503 ## ## Available spectrographs include: ## bok_bc, gemini_flamingos1, gemini_flamingos2, gemini_gmos_north_e2v, @@ -25,7 +25,7 @@ positional arguments: pypeit_file PypeIt reduction file (must have .pypeit extension) - optional arguments: + options: -h, --help show this help message and exit -v VERBOSITY, --verbosity VERBOSITY Verbosity level between 0 [none] and 2 [all] diff --git a/doc/include/dependencies_table.rst b/doc/include/dependencies_table.rst index 87ad21faf0..5412b694ef 100644 --- a/doc/include/dependencies_table.rst +++ b/doc/include/dependencies_table.rst @@ -1,5 +1,5 @@ -======================= ====================================================================================================================================================================================================================================================================================== -Python Version ``>=3.9,<3.12`` -Required for users ``IPython>=7.10.0``, ``PyYAML>=5.1``, ``astropy>=4.3``, ``bottleneck``, ``configobj>=5.0.6``, ``extension-helpers>=0.1``, ``ginga>=3.2``, ``linetools``, ``matplotlib>=3.3``, ``numpy>=1.21``, ``packaging>=0.19``, ``pygithub``, ``qtpy>=1.9``, ``scikit-learn>=1.0``, ``scipy>=1.7`` -Required for developers ``coverage``, ``docutils<0.18``, ``pytest-astropy``, ``pytest-cov``, ``pytest>=6.0.0``, ``sphinx-automodapi``, ``sphinx<6,>=1.6``, ``sphinx_rtd_theme==1.1.1``, ``tox`` -======================= ====================================================================================================================================================================================================================================================================================== +======================= ================================================================================================================================================================================================================================================================================================= +Python Version ``>=3.9,<3.12`` +Required for users ``IPython>=7.10.0``, ``PyYAML>=5.1``, ``astropy>=4.3``, ``bottleneck``, ``configobj>=5.0.6``, ``extension-helpers>=0.1``, ``ginga>=3.2``, ``linetools``, ``matplotlib>=3.3``, ``numpy>=1.21``, ``packaging>=0.19``, ``pygithub``, ``pyqt6``, ``qtpy>=1.9``, ``scikit-learn>=1.0``, ``scipy>=1.7`` +Required for developers ``coverage``, ``docutils<0.18``, ``pytest-astropy``, ``pytest-cov``, ``pytest>=6.0.0``, ``sphinx-automodapi``, ``sphinx<6,>=1.6``, ``sphinx_rtd_theme==1.1.1``, ``tox`` +======================= ================================================================================================================================================================================================================================================================================================= diff --git a/doc/include/gemini_gnirs_A.pypeit.rst b/doc/include/gemini_gnirs_A.pypeit.rst index c4eccdbc36..06ca5ad954 100644 --- a/doc/include/gemini_gnirs_A.pypeit.rst +++ b/doc/include/gemini_gnirs_A.pypeit.rst @@ -17,7 +17,7 @@ # Data block data read - path /Volumes/GoogleDrive/.shortcut-targets-by-id/1oh19siB1-F0jjmY-F_jr73eA-TQYEiFW/PypeIt-development-suite/RAW_DATA/gemini_gnirs/32_SB_SXD + path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/gemini_gnirs/32_SB_SXD filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | dithoff | calib | comb_id | bkg_id cN20170331S0216.fits | arc,science,tilt | 205.53380833 | 9.47733611 | pisco | 32/mmSB_G5533 | 0.68arcsec_G5530 | 1,1 | 57843.3709743134 | 1.077 | 300.0 | 6.1887 | -0.34225501721318 | 0 | 5 | -1 cN20170331S0217.fits | arc,science,tilt | 205.53380833 | 9.47733611 | pisco | 32/mmSB_G5533 | 0.68arcsec_G5530 | 1,1 | 57843.3746886267 | 1.068 | 300.0 | 6.1887 | 2.65774498278682 | 0 | 6 | -1 diff --git a/doc/include/keck_deimos.sorted.rst b/doc/include/keck_deimos.sorted.rst index 488276e258..655eedb3a6 100644 --- a/doc/include/keck_deimos.sorted.rst +++ b/doc/include/keck_deimos.sorted.rst @@ -10,19 +10,19 @@ filter1: OG550 #--------------------------------------------------------- filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno | calib - d0527_0030.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 | 0 DE.20170527.06713.fits | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 | 0 + d0527_0030.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.077631 | 1.41291034 | 1.0 | 8099.98291016 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-05-27 | 01:51:53.87 | 30 | 0 d0527_0031.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.07851 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:53:10.93 | 31 | 0 DE.20170527.06790.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.07851 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:53:10.93 | 31 | 0 - DE.20170527.06864.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 | 0 d0527_0032.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 | 0 + DE.20170527.06864.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.079356 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:54:24.03 | 32 | 0 DE.20170527.06936.fits | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.080211 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:55:36.93 | 33 | 0 d0527_0033.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | DOME PHLAT | 830G | LongMirr | 1,1 | 57900.080211 | 1.41291034 | 4.0 | 8099.98291016 | SINGLE:B | OG550 | Qz | 2017-05-27 | 01:55:36.93 | 33 | 0 DE.20170527.37601.fits | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.435131 | 1.03078874 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:26:41.61 | 80 | 0 - d0527_0081.fits.gz | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 | 0 DE.20170527.38872.fits | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 | 0 - d0527_0083.fits.gz | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 | 0 + d0527_0081.fits.gz | science | 261.0363749999999 | 19.028166666666667 | P261_OFF | 830G | LongMirr | 1,1 | 57900.449842 | 1.01267696 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 10:47:52.92 | 81 | 0 DE.20170527.41775.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 | 0 + d0527_0083.fits.gz | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.483427 | 1.00093023 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:36:15.35 | 83 | 0 DE.20170527.43045.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.498135 | 1.00838805 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 11:57:25.35 | 84 | 0 DE.20170527.44316.fits | science | 261.0362916666666 | 19.028888888888886 | P261_OFF | 830G | LongMirr | 1,1 | 57900.512854 | 1.02377681 | 1200.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 12:18:36.71 | 85 | 0 DE.20170527.53184.fits | science | 349.99316666666664 | -5.16575 | Feige 110 | 830G | LongMirr | 1,1 | 57900.615484 | 1.42505162 | 45.0 | 8099.98291016 | SINGLE:B | OG550 | Off | 2017-05-27 | 14:46:24.88 | 93 | 0 diff --git a/doc/include/keck_deimos_A.pypeit.rst b/doc/include/keck_deimos_A.pypeit.rst index be37795a08..d5331442ad 100644 --- a/doc/include/keck_deimos_A.pypeit.rst +++ b/doc/include/keck_deimos_A.pypeit.rst @@ -20,7 +20,7 @@ # Data block data read - path /Volumes/GoogleDrive/.shortcut-targets-by-id/1oh19siB1-F0jjmY-F_jr73eA-TQYEiFW/PypeIt-development-suite/RAW_DATA/keck_deimos/1200G_M_7750 + path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_deimos/1200G_M_7750 filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dispangle | amp | filter1 | lampstat01 | dateobs | utc | frameno | calib DE.20170425.09554.fits.gz | arc,tilt | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.110529 | 1.41291034 | 1.0 | 7699.95654297 | SINGLE:B | OG550 | Kr Xe Ar Ne | 2017-04-25 | 02:39:14.41 | 49 | 0 DE.20170425.09632.fits.gz | pixelflat,illumflat,trace | 57.99999999999999 | 45.0 | unknown | 1200G | dra11 | 1,1 | 57868.111418 | 1.41291034 | 12.0 | 7699.95654297 | SINGLE:B | OG550 | Qz | 2017-04-25 | 02:40:32.06 | 50 | 0 diff --git a/doc/include/keck_nires_A.pypeit.rst b/doc/include/keck_nires_A.pypeit.rst index 4248aa01e2..e01401f356 100644 --- a/doc/include/keck_nires_A.pypeit.rst +++ b/doc/include/keck_nires_A.pypeit.rst @@ -15,7 +15,7 @@ # Data block data read - path /Volumes/GoogleDrive/.shortcut-targets-by-id/1oh19siB1-F0jjmY-F_jr73eA-TQYEiFW/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard + path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/keck_nires/ABBA_wstandard filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dithpat | dithpos | dithoff | frameno | calib | comb_id | bkg_id s190519_0059.fits | arc,science,tilt | 194.259151362434 | 22.0313494322493 | GD153 | spec | 0.55 slit | 1,1 | 58622.3598610573 | 1.03675819208546 | 200.0 | ABBA | A | 2.0 | 59 | 0 | 1 | 2 s190519_0060.fits | arc,science,tilt | 194.260349844733 | 22.0313316699865 | GD153 | spec | 0.55 slit | 1,1 | 58622.362605849 | 1.04142552296712 | 200.0 | ABBA | B | -2.0 | 60 | 0 | 2 | 1 diff --git a/doc/include/shane_kast_blue_A.pypeit.rst b/doc/include/shane_kast_blue_A.pypeit.rst index bb5555c78f..260bb5d36f 100644 --- a/doc/include/shane_kast_blue_A.pypeit.rst +++ b/doc/include/shane_kast_blue_A.pypeit.rst @@ -16,7 +16,7 @@ # Data block data read - path /Volumes/GoogleDrive/.shortcut-targets-by-id/1oh19siB1-F0jjmY-F_jr73eA-TQYEiFW/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 + path /Users/westfall/Work/packages/PypeIt-development-suite/RAW_DATA/shane_kast_blue/600_4310_d55 filename | frametype | ra | dec | target | dispname | decker | binning | mjd | airmass | exptime | dichroic | calib b1.fits.gz | arc,tilt | 140.44166666666663 | 37.43222222222222 | Arcs | 600/4310 | 0.5 arcsec | 1,1 | 57162.06664467593 | 1.0 | 30.0 | d55 | 0 b14.fits.gz | bias | 172.34291666666664 | 36.86833333333333 | Bias | 600/4310 | 2.0 arcsec | 1,1 | 57162.15420034722 | 1.0 | 0.0 | d55 | 0 diff --git a/doc/pypeit_par.rst b/doc/pypeit_par.rst index 240450d0aa..b1607074e3 100644 --- a/doc/pypeit_par.rst +++ b/doc/pypeit_par.rst @@ -541,21 +541,21 @@ Collate1DPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.Collate1DPar` -========================= ========== ======= ======================================= ================================================================================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -========================= ========== ======= ======================================= ================================================================================================================================================================================================================================================================================================================================================================================================================== -``dry_run`` bool .. False If set, the script will display the matching File and Object Ids but will not flux, coadd or archive. -``exclude_serendip`` bool .. False Whether to exclude SERENDIP objects from collating. -``exclude_slit_trace_bm`` list, str .. [] A list of slit trace bitmask bits that should be excluded. -``flux`` bool .. False If set, the script will flux calibrate using archived sensfuncs before coadding. -``ignore_flux`` bool .. False If set, the script will only coadd non-fluxed spectra even if flux data is present. Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated. -``match_using`` str .. ``ra/dec`` Determines how 1D spectra are matched as being the same object. Must be either 'pixel' or 'ra/dec'. -``outdir`` str .. ``/Users/dpelliccia/PypeIt/PypeIt/doc`` The path where all coadded output files and report files will be placed. -``refframe`` str .. .. Perform reference frame correction prior to coadding. Options are: observed, heliocentric, barycentric -``spec1d_outdir`` str .. .. The path where all modified spec1d files are placed. These are only created if flux calibration or refframe correction are asked for. -``tolerance`` str, float .. ``1.0`` The tolerance used when comparing the coordinates of objects. If two objects are within this distance from each other, they are considered the same object. If match_using is 'ra/dec' (the default) this is an angular distance. The defaults units are arcseconds but other units supported by astropy.coordinates.Angle can be used (`e.g.`, '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float. -``wv_rms_thresh`` float .. .. If set, any objects with a wavelength RMS > this value are skipped, else all wavelength RMS values are accepted. -========================= ========== ======= ======================================= ================================================================================================================================================================================================================================================================================================================================================================================================================== +========================= ========== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +========================= ========== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================================================================== +``dry_run`` bool .. False If set, the script will display the matching File and Object Ids but will not flux, coadd or archive. +``exclude_serendip`` bool .. False Whether to exclude SERENDIP objects from collating. +``exclude_slit_trace_bm`` list, str .. [] A list of slit trace bitmask bits that should be excluded. +``flux`` bool .. False If set, the script will flux calibrate using archived sensfuncs before coadding. +``ignore_flux`` bool .. False If set, the script will only coadd non-fluxed spectra even if flux data is present. Otherwise fluxed spectra are coadded if all spec1ds have been fluxed calibrated. +``match_using`` str .. ``ra/dec`` Determines how 1D spectra are matched as being the same object. Must be either 'pixel' or 'ra/dec'. +``outdir`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` The path where all coadded output files and report files will be placed. +``refframe`` str .. .. Perform reference frame correction prior to coadding. Options are: observed, heliocentric, barycentric +``spec1d_outdir`` str .. .. The path where all modified spec1d files are placed. These are only created if flux calibration or refframe correction are asked for. +``tolerance`` str, float .. ``1.0`` The tolerance used when comparing the coordinates of objects. If two objects are within this distance from each other, they are considered the same object. If match_using is 'ra/dec' (the default) this is an angular distance. The defaults units are arcseconds but other units supported by astropy.coordinates.Angle can be used (`e.g.`, '0.003d' or '0h1m30s'). If match_using is 'pixel' this is a float. +``wv_rms_thresh`` float .. .. If set, any objects with a wavelength RMS > this value are skipped, else all wavelength RMS values are accepted. +========================= ========== ======= ============================================ ================================================================================================================================================================================================================================================================================================================================================================================================================== ---- @@ -606,21 +606,21 @@ ReduxPar Keywords Class Instantiation: :class:`~pypeit.par.pypeitpar.ReduxPar` -====================== ============== ======= ======================================= =============================================================================================================================================================================================================================================================================================================================================================== -Key Type Options Default Description -====================== ============== ======= ======================================= =============================================================================================================================================================================================================================================================================================================================================================== -``calwin`` int, float .. 0 The window of time in hours to search for calibration frames for a science frame -``detnum`` int, list .. .. Restrict reduction to a list of detector indices. In case of mosaic reduction (currently only available for Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of tuples of the detector indices that are mosaiced together. E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` -``ignore_bad_headers`` bool .. False Ignore bad headers (NOT recommended unless you know it is safe). -``maskIDs`` str, int, list .. .. Restrict reduction to a set of slitmask IDs Example syntax -- ``maskIDs = 818006,818015`` This must be used with detnum (for now). -``qadir`` str .. ``QA`` Directory relative to calling directory to write quality assessment files. -``quicklook`` bool .. False Run a quick look reduction? This is usually good if you want to quickly reduce the data (usually at the telescope in real time) to get an initial estimate of the data quality. -``redux_path`` str .. ``/Users/dpelliccia/PypeIt/PypeIt/doc`` Path to folder for performing reductions. Default is the current working directory. -``scidir`` str .. ``Science`` Directory relative to calling directory to write science files. -``slitspatnum`` str, list .. .. Restrict reduction to a set of slit DET:SPAT values (closest slit is used). Example syntax -- slitspatnum = DET01:175,DET01:205 or MSC02:2234 If you are re-running the code, (i.e. modifying one slit) you *must* have the precise SPAT_ID index. -``sortroot`` str .. .. A filename given to output the details of the sorted files. If None, the default is the root name of the pypeit file. If off, no output is produced. -``spectrograph`` str .. .. Spectrograph that provided the data to be reduced. See :ref:`instruments` for valid options. -====================== ============== ======= ======================================= =============================================================================================================================================================================================================================================================================================================================================================== +====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== +Key Type Options Default Description +====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== +``calwin`` int, float .. 0 The window of time in hours to search for calibration frames for a science frame +``detnum`` int, list .. .. Restrict reduction to a list of detector indices. In case of mosaic reduction (currently only available for Gemini/GMOS and Keck/DEIMOS) ``detnum`` should be a list of tuples of the detector indices that are mosaiced together. E.g., for Gemini/GMOS ``detnum`` would be ``[(1,2,3)]`` and for Keck/DEIMOS it would be ``[(1, 5), (2, 6), (3, 7), (4, 8)]`` +``ignore_bad_headers`` bool .. False Ignore bad headers (NOT recommended unless you know it is safe). +``maskIDs`` str, int, list .. .. Restrict reduction to a set of slitmask IDs Example syntax -- ``maskIDs = 818006,818015`` This must be used with detnum (for now). +``qadir`` str .. ``QA`` Directory relative to calling directory to write quality assessment files. +``quicklook`` bool .. False Run a quick look reduction? This is usually good if you want to quickly reduce the data (usually at the telescope in real time) to get an initial estimate of the data quality. +``redux_path`` str .. ``/Users/westfall/Work/packages/pypeit/doc`` Path to folder for performing reductions. Default is the current working directory. +``scidir`` str .. ``Science`` Directory relative to calling directory to write science files. +``slitspatnum`` str, list .. .. Restrict reduction to a set of slit DET:SPAT values (closest slit is used). Example syntax -- slitspatnum = DET01:175,DET01:205 or MSC02:2234 If you are re-running the code, (i.e. modifying one slit) you *must* have the precise SPAT_ID index. +``sortroot`` str .. .. A filename given to output the details of the sorted files. If None, the default is the root name of the pypeit file. If off, no output is produced. +``spectrograph`` str .. .. Spectrograph that provided the data to be reduced. See :ref:`instruments` for valid options. +====================== ============== ======= ============================================ =============================================================================================================================================================================================================================================================================================================================================================== ---- diff --git a/doc/releases/1.13.0.rst b/doc/releases/1.13.0.rst new file mode 100644 index 0000000000..78b4da1267 --- /dev/null +++ b/doc/releases/1.13.0.rst @@ -0,0 +1,60 @@ + +Version 1.13.0 +============== + +Funtionality/Performance Improvements and Additions +--------------------------------------------------- + +- Allow user control of the local sky subtraction window +- Implemented a resample algorithm when generating datacubes +- Sensitivity function masking and output updates +- Improve speed in ginga visualization of traces and added + `pypeit_chk_tilts`. Note that this script uses an update + of the tilts datamodel, so it will not work on older reductions. +- Fixed a bug in the `variance_model` calculation for combined images. + +Datamodel Changes +----------------- + +- Removed use of the term "master", renamed to calibration frames/files. + Default output directory for calibration frames is now ``Calibrations``. + Calibration frames renamed from, e.g., ``MasterArc*`` to ``Arc*``. +- Names of associated calibration frames now written to ``spec2d`` file headers. + +Dependency Changes +------------------ + +- Deprecate support for python 3.8 with PypeIt, allow python 3.11 +- Make pypeit_show_2dspec (somewhat) backwards compatible. +- Added the option to disable strict version checking for 1d coadds. +- Start to deprecate use of ``os.path`` in favor of ``pathlib`` + +Script Changes +-------------- + +- In PypeIt files, the ``'calib'`` column is now always added to the pypeit + file, regardless of whether or not you also request the ``'comb_id'`` and + ``'bkg_id'`` columns. +- In PypeIt files, the calibration group numbers can now be anything, as long as + there are no more than 63 unique integers. +- Deprecated ``pypeit_parse_calib_id`` script, but improved the ``.calib`` file + provided by ``pypeit_setup``. The ``.calib`` file is now always written, and + provides a direct association between input raw files and output calibration + files. Discussed in new docs. +- Added coadd2d setup script +- Added the possibility to use dither offsets saved in the header of the science + frames for coadding 2D spectra (``dithoff`` must be part of the spectrograph + metadata). +- Major quicklook updates; see documentation. ql_multislit.py deprecated. + +Instrument-specific Updates +--------------------------- + +- Updates to reduction parameters for LDT/DeVeny + +Hotfixes +-------- + +- Hotfix to docs to ensure ``pypeit_loaders`` api doc is generated +- Hotfix for KCWI when using alignment (aka ContBars) frames for the astrometric correction. + From 2e9f21fe60bd1475b325a4ded3c772479111e04e Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 2 Jun 2023 08:59:05 -0700 Subject: [PATCH 307/308] CHANGES --- CHANGES.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index f15acd1148..fcfe167030 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,6 +1,6 @@ -1.12.3dev ---------- +1.13.0 (2 June 2023) +-------------------- - Implemented a resample algorithm when generating datacubes - Hotfix to docs to ensure pypeit_loaders api doc is generated From a137bf9074bfaae1dafe39d8d57bc3d5b2d779b7 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 2 Jun 2023 09:03:58 -0700 Subject: [PATCH 308/308] whats new --- doc/whatsnew.rst | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/doc/whatsnew.rst b/doc/whatsnew.rst index 5bc8997ffb..eda198e910 100644 --- a/doc/whatsnew.rst +++ b/doc/whatsnew.rst @@ -15,6 +15,10 @@ For a detailed log of code edits (including releases earlier than version ---- +.. include:: releases/1.13.0.rst + +---- + .. include:: releases/1.12.2.rst ----

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NAXIS = 2 / number of array dimensions NAXIS1 = 98 / length of dimension 1 NAXIS2 = 1 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 15 / number of table fields NAME = 'DET01 ' VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'platescale' TFORM5 = 'D ' TTYPE6 = 'darkcurr' TFORM6 = 'D ' TTYPE7 = 'saturation' TFORM7 = 'D ' TTYPE8 = 'mincounts' TFORM8 = 'D ' TTYPE9 = 'nonlinear' TFORM9 = 'D ' TTYPE10 = 'numamplifiers' TFORM10 = 'K ' 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created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'platescale' TFORM5 = 'D ' TTYPE6 = 'darkcurr' TFORM6 = 'D ' TTYPE7 = 'saturation' TFORM7 = 'D ' TTYPE8 = 'mincounts' TFORM8 = 'D ' TTYPE9 = 'nonlinear' TFORM9 = 'D ' TTYPE10 = 'numamplifiers' TFORM10 = 'K ' TTYPE11 = 'gain ' TFORM11 = 'D ' TDIM11 = '(1) ' TTYPE12 = 'ronoise ' TFORM12 = 'D ' TDIM12 = '(1) ' TTYPE13 = 'datasec ' TFORM13 = '5A ' TDIM13 = '(5,1) ' TTYPE14 = 'det ' TFORM14 = 'K ' TTYPE15 = 'binning ' TFORM15 = '3A ' END TT?Ã333333?Ã333333AO€Â _ ?æ¸Që…¸@+@[:,:]1,1 \ No newline at end of file diff --git a/pypeit/tests/files/spec1d_cN20170331S0217-pisco_GNIRS_20170331T085933.097.fits b/pypeit/tests/files/spec1d_cN20170331S0217-pisco_GNIRS_20170331T085933.097.fits index b996bb6725..ea839e7743 100644 --- a/pypeit/tests/files/spec1d_cN20170331S0217-pisco_GNIRS_20170331T085933.097.fits +++ b/pypeit/tests/files/spec1d_cN20170331S0217-pisco_GNIRS_20170331T085933.097.fits @@ -1,2200 +1,3028 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 205.53380833 / (J2000) RA in decimal degrees DEC = 9.47733611 / (J2000) DEC in decimal degrees TARGET = 'pisco ' / Name of the target DISPNAME= '32/mmSB_G5533' / Disperser name DECKER = 'SCXD_G5531' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57843.3746886267 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.068 / Airmass EXPTIME = 300.0 / Exposure time (s) FILENAME= 'cN20170331S0217.fits' INSTRUME= 'GNIRS ' PYPELINE= 'Echelle ' PYP_SPEC= 'gemini_gnirs' / PypeIt: Spectrograph name TELESCOP= 'GEMINI-N' / Telescope LON-OBS = -155.4690467527778 / Telescope longitude LAT-OBS = 19.82380144722223 / Telescope latitute ALT-OBS = 4213.000000001549 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'OBJ0205-DET01-ORDER0008' EXT0001 = 'OBJ0205-DET01-ORDER0007' EXT0002 = 'OBJ0205-DET01-ORDER0006' EXT0003 = 'OBJ0205-DET01-ORDER0005' EXT0004 = 'OBJ0205-DET01-ORDER0004' EXT0005 = 'OBJ0205-DET01-ORDER0003' NSPEC = 6 HISTORY 2023-03-13T19:14 PypeIt Reducing target pisco HISTORY Combining frames: HISTORY "cN20170331S0217.fits" HISTORY "cN20170331S0218.fits" HISTORY Subtracted background from frames: HISTORY "cN20170331S0216.fits" HISTORY "cN20170331S0219.fits" HISTORY Calibration frames: HISTORY arc,science,tilt "cN20170331S0216.fits" HISTORY arc,science,tilt "cN20170331S0217.fits" HISTORY arc,science,tilt "cN20170331S0218.fits" HISTORY arc,science,tilt "cN20170331S0219.fits" HISTORY pixelflat,trace "cN20170331S0252.fits" HISTORY pixelflat,trace "cN20170331S0253.fits" HISTORY pixelflat,trace "cN20170331S0254.fits" HISTORY pixelflat,trace "cN20170331S0255.fits" HISTORY pixelflat,trace "cN20170331S0256.fits" HISTORY pixelflat,trace "cN20170331S0257.fits" HISTORY pixelflat,trace "cN20170331S0258.fits" HISTORY pixelflat,trace "cN20170331S0259.fits" HISTORY pixelflat,trace "cN20170331S0260.fits" HISTORY pixelflat,trace "cN20170331S0261.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 1022 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 5.131510797237044 HIERARCH SMASH_PEAKFLUX = 8.905481136543306 HIERARCH SMASH_SNR = 16.58263337836697 HIERARCH BOX_RADIUS = 10.0 S2N = 0.0 HIERARCH FLEX_SHIFT_GLOBAL = 0.0 HIERARCH FLEX_SHIFT_LOCAL = 0.0 HIERARCH FLEX_SHIFT_TOTAL = 0.0 VEL_TYPE= 'heliocentric' VEL_CORR= 1.000017853682349 DET = 'DET01 ' PYPELINE= 'Echelle ' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 290.7797606708554 HIERARCH SPAT_FRACPOS = 0.2052094459710886 HIERARCH MASKWIDTH = 25.72788558359252 WAVE_RMS= 0.6600077605364648 SLITID = 303 OBJID = 1 NAME = 'OBJ0205-DET01-ORDER0008' HIERARCH HAND_EXTRACT_FLAG = F HIERARCH ECH_OBJID = 1 HIERARCH ECH_ORDERINDX = 0 HIERARCH ECH_FRACPOS = 0.2052094459710886 HIERARCH ECH_ORDER = 8 ECH_NAME= 'OBJ0205-DET01' TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_COUNTS' TFORM4 = '1D ' TTYPE5 = 'OPT_COUNTS_IVAR' TFORM5 = '1D ' TTYPE6 = 'OPT_COUNTS_SIG' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS_NIVAR' TFORM7 = '1D ' TTYPE8 = 'OPT_MASK' TFORM8 = '1L ' TTYPE9 = 'OPT_COUNTS_SKY' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_SIG_DET' TFORM10 = '1D ' TTYPE11 = 'OPT_FRAC_USE' TFORM11 = '1D ' TTYPE12 = 'OPT_CHI2' TFORM12 = '1D ' TTYPE13 = 'BOX_NPIX' TFORM13 = '1D ' TTYPE14 = 'BOX_WAVE' TFORM14 = '1D ' TTYPE15 = 'BOX_COUNTS' TFORM15 = '1D ' TTYPE16 = 'BOX_COUNTS_IVAR' TFORM16 = '1D ' TTYPE17 = 'BOX_COUNTS_SIG' TFORM17 = '1D ' TTYPE18 = 'BOX_COUNTS_NIVAR' TFORM18 = '1D ' TTYPE19 = 'BOX_MASK' TFORM19 = '1L ' TTYPE20 = 'BOX_COUNTS_SKY' TFORM20 = '1D ' TTYPE21 = 'BOX_COUNTS_SIG_DET' TFORM21 = '1D ' TTYPE22 = 'trace_spec' TFORM22 = '1K ' EXTNAME = 'OBJ0205-DET01-ORDER0008' / extension name END @d ìÁè¾@†ªÄ4ÐãFF@dQ#ynD@†ªÄ4ÐãFF@d"²öA4ã@†ªÄ4ÐãFF@d-:Ô@†ªÄ4ÐãFF@d7nñŽÓ@†ªÄ4ÐãFF@dAÉ÷q@†ªÄ4ÐãFF@dL 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0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 15 / number of table fields NAME = 'DET01 ' VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'platescale' TFORM5 = 'D ' TTYPE6 = 'darkcurr' TFORM6 = 'D ' TTYPE7 = 'saturation' TFORM7 = 'D ' TTYPE8 = 'mincounts' TFORM8 = 'D ' TTYPE9 = 'nonlinear' TFORM9 = 'D ' TTYPE10 = 'numamplifiers' TFORM10 = 'K ' TTYPE11 = 'gain ' TFORM11 = 'D ' TDIM11 = '(1) ' TTYPE12 = 'ronoise ' TFORM12 = 'D ' TDIM12 = '(1) ' TTYPE13 = 'datasec ' 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À@ؘÈ£-Z?ôufxÂü?îD“$q?ñâÛ÷ë#@\Íã4¢">À½·QXÞ@†ôÙ§GB?1üªÈÃü!T@¤ÄlŸÀë@=î~[`aû@‡õÚÞ@†ª‡£Õß@Ø™¯˜·?ªR\y[®?áÅÈNù¤Œ@ ïedð)@Coà‹ËÑ>Ø›èƒÏŽ@yÍt½[Pµ?LkHAR´T@‰$ÿ¹«@3#f!*f?ïü©Í¯m•?ÜöëÈJ0@1;[À@Ø™ž\ðR1?Üî‚Á?ê–MA­á?÷-'\›@uü“Ñ ì>ÅÚ÷è×@ƒ\w’9µà-oæ?ÒŸ@v€Á5‡I?F–,Iì T@_\Õ.Ì@3µXS¿n%?ïý?CEâ?î—öÎØ1@1X¦€@Ø›:ö¶/¿öÜóæxL8?çB…͉úP?þH’ü]RnÀ–6g°§ñ>ÌÄÓ±­@€ßæQÿë?3pÏóEµT@£_ö@»¹@=zótD"–ýXTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 98 / length of dimension 1 NAXIS2 = 1 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 15 / number of table fields NAME = 'DET01 ' VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'platescale' TFORM5 = 'D ' TTYPE6 = 'darkcurr' TFORM6 = 'D ' TTYPE7 = 'saturation' TFORM7 = 'D ' TTYPE8 = 'mincounts' TFORM8 = 'D ' TTYPE9 = 'nonlinear' TFORM9 = 'D ' TTYPE10 = 'numamplifiers' TFORM10 = 'K ' TTYPE11 = 'gain ' TFORM11 = 'D ' TDIM11 = '(1) ' TTYPE12 = 'ronoise ' TFORM12 = 'D ' TDIM12 = '(1) ' TTYPE13 = 'datasec ' TFORM13 = '5A ' TDIM13 = '(5,1) ' TTYPE14 = 'det ' TFORM14 = 'K ' TTYPE15 = 'binning ' TFORM15 = '3A ' END TT?Ã333333?Ã333333AO€Â _ ?æ¸Që…¸@+@[:,:]1,1 \ No newline at end of file diff --git a/pypeit/tests/files/spec1d_cN20170331S0220-pisco_GNIRS_20170331T091538.731.fits b/pypeit/tests/files/spec1d_cN20170331S0220-pisco_GNIRS_20170331T091538.731.fits index e75f976bd8..518a2d6107 100644 --- a/pypeit/tests/files/spec1d_cN20170331S0220-pisco_GNIRS_20170331T091538.731.fits +++ b/pypeit/tests/files/spec1d_cN20170331S0220-pisco_GNIRS_20170331T091538.731.fits @@ -1,2118 +1,2964 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 205.53380833 / (J2000) RA in decimal degrees DEC = 9.47733611 / (J2000) DEC in decimal degrees TARGET = 'pisco ' / Name of the target DISPNAME= '32/mmSB_G5533' / Disperser name DECKER = 'SCXD_G5531' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57843.3858649384 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.047 / Airmass EXPTIME = 300.0 / Exposure time (s) FILENAME= 'cN20170331S0220.fits' INSTRUME= 'GNIRS ' PYPELINE= 'Echelle ' PYP_SPEC= 'gemini_gnirs' / PypeIt: Spectrograph name TELESCOP= 'GEMINI-N' / Telescope LON-OBS = -155.4690467527778 / Telescope longitude LAT-OBS = 19.82380144722223 / Telescope latitute ALT-OBS = 4213.000000001549 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'OBJ0658-DET01-ORDER0008' EXT0001 = 'OBJ0658-DET01-ORDER0007' EXT0002 = 'OBJ0658-DET01-ORDER0006' EXT0003 = 'OBJ0658-DET01-ORDER0005' EXT0004 = 'OBJ0658-DET01-ORDER0004' EXT0005 = 'OBJ0658-DET01-ORDER0003' NSPEC = 6 HISTORY 2023-03-13T19:14 PypeIt Reducing target pisco HISTORY Combining frames: HISTORY "cN20170331S0220.fits" HISTORY "cN20170331S0223.fits" HISTORY Subtracted background from frames: HISTORY "cN20170331S0221.fits" HISTORY "cN20170331S0222.fits" HISTORY Calibration frames: HISTORY arc,science,tilt "cN20170331S0220.fits" HISTORY arc,science,tilt "cN20170331S0221.fits" HISTORY arc,science,tilt "cN20170331S0222.fits" HISTORY arc,science,tilt "cN20170331S0223.fits" HISTORY pixelflat,trace "cN20170331S0252.fits" HISTORY pixelflat,trace "cN20170331S0253.fits" HISTORY pixelflat,trace "cN20170331S0254.fits" HISTORY pixelflat,trace "cN20170331S0255.fits" HISTORY pixelflat,trace "cN20170331S0256.fits" HISTORY pixelflat,trace "cN20170331S0257.fits" HISTORY pixelflat,trace "cN20170331S0258.fits" HISTORY pixelflat,trace "cN20170331S0259.fits" HISTORY pixelflat,trace "cN20170331S0260.fits" HISTORY pixelflat,trace "cN20170331S0261.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 1022 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 4.306208476189721 HIERARCH SMASH_PEAKFLUX = 9.83276559414319 HIERARCH SMASH_SNR = 16.55824307660723 HIERARCH BOX_RADIUS = 10.0 S2N = 0.0 HIERARCH FLEX_SHIFT_GLOBAL = 0.0 HIERARCH FLEX_SHIFT_LOCAL = 0.0 HIERARCH FLEX_SHIFT_TOTAL = 0.0 VEL_TYPE= 'heliocentric' VEL_CORR= 1.000017752965318 DET = 'DET01 ' PYPELINE= 'Echelle ' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 310.1483455821007 HIERARCH SPAT_FRACPOS = 0.6579314425217946 HIERARCH MASKWIDTH = 23.5033584660089 WAVE_RMS= 0.52419869482921 SLITID = 303 OBJID = 1 NAME = 'OBJ0658-DET01-ORDER0008' HIERARCH HAND_EXTRACT_FLAG = F HIERARCH ECH_OBJID = 1 HIERARCH ECH_ORDERINDX = 0 HIERARCH ECH_FRACPOS = 0.6579314425217946 HIERARCH ECH_ORDER = 8 ECH_NAME= 'OBJ0658-DET01' TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 'FWHMFIT ' TFORM2 = '1D ' TTYPE3 = 'OPT_WAVE' TFORM3 = '1D ' TTYPE4 = 'OPT_COUNTS' TFORM4 = '1D ' TTYPE5 = 'OPT_COUNTS_IVAR' TFORM5 = '1D ' TTYPE6 = 'OPT_COUNTS_SIG' TFORM6 = '1D ' TTYPE7 = 'OPT_COUNTS_NIVAR' TFORM7 = '1D ' TTYPE8 = 'OPT_MASK' TFORM8 = '1L ' TTYPE9 = 'OPT_COUNTS_SKY' TFORM9 = '1D ' TTYPE10 = 'OPT_COUNTS_SIG_DET' TFORM10 = '1D ' TTYPE11 = 'OPT_FRAC_USE' TFORM11 = '1D ' TTYPE12 = 'OPT_CHI2' TFORM12 = '1D ' TTYPE13 = 'BOX_NPIX' TFORM13 = '1D ' TTYPE14 = 'BOX_WAVE' TFORM14 = '1D ' TTYPE15 = 'BOX_COUNTS' TFORM15 = '1D ' TTYPE16 = 'BOX_COUNTS_IVAR' TFORM16 = '1D ' TTYPE17 = 'BOX_COUNTS_SIG' TFORM17 = '1D ' TTYPE18 = 'BOX_COUNTS_NIVAR' TFORM18 = '1D ' TTYPE19 = 'BOX_MASK' TFORM19 = '1L ' TTYPE20 = 'BOX_COUNTS_SKY' TFORM20 = '1D ' TTYPE21 = 'BOX_COUNTS_SIG_DET' TFORM21 = '1D ' TTYPE22 = 'trace_spec' TFORM22 = '1K ' EXTNAME = 'OBJ0658-DET01-ORDER0008' / extension name END 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+”Ç@¨³–fX‡@p!ºi¡>×(±Yá@z™‰ÿ•ü?V¥ÛfµqWT@zªÄGȶ×@1Ut0?ð?ÐLóʯN@4@Ø–QºG?ÑóÙæoï?ðüö—YF?ìb¸A…Z@\ŽØ‰r—ä>º¨ö¥Öí@ˆÊI¢¡“¶?;(Ò· 1ßÇÉr£)Ã@v´˜Xº±?]´ ¤úNT@sf\¸1@08 ^ù??ð?Ìk H/ -@4@Ø—ëý©<Â?֎?í¾ÿƳ?óZ3Ä/ª@pe’½ P€>ÂO)0aæ@…'à•jò?@ÂÓ ^ççT@‘5jS¦h¥@>ª54.Ìü@ˆ¥ô@ó3j‚¡@Ø™+›a?ÑJø@Ã~Þ?Ûðº‹H@üêU½W @i Ùã°‡>䑦F7@t<ÊÉÐ?[5?íHçT@s¾mÞ Ç@1"¹ü4Î?ð?ÊáržX ë@4@Ø™†@áA?Ë'ß‚ Œ?ê¹ß®§q?øp*BM@cª³Pܼ>ÆñRÿQw@‚åiâPP?>Ö(Ms³T@Åâwä‚k@@h x÷ZýXTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 98 / length of dimension 1 NAXIS2 = 1 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 15 / number of table fields NAME = 'DET01 ' VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'DetectorContainer' / Datamodel class DMODVER = '1.0.1 ' / Datamodel version EXTNAME = 'DET01-DETECTOR' / extension name TTYPE1 = 'dataext ' TFORM1 = 'K ' TTYPE2 = 'specaxis' TFORM2 = 'K ' TTYPE3 = 'specflip' TFORM3 = 'L ' TTYPE4 = 'spatflip' TFORM4 = 'L ' TTYPE5 = 'platescale' TFORM5 = 'D ' TTYPE6 = 'darkcurr' TFORM6 = 'D ' TTYPE7 = 'saturation' TFORM7 = 'D ' TTYPE8 = 'mincounts' TFORM8 = 'D ' TTYPE9 = 'nonlinear' TFORM9 = 'D ' TTYPE10 = 'numamplifiers' TFORM10 = 'K ' TTYPE11 = 'gain ' TFORM11 = 'D ' TDIM11 = '(1) ' TTYPE12 = 'ronoise ' TFORM12 = 'D ' TDIM12 = '(1) ' TTYPE13 = 'datasec ' TFORM13 = '5A ' TDIM13 = '(5,1) ' TTYPE14 = 'det ' TFORM14 = 'K ' TTYPE15 = 'binning ' TFORM15 = '3A ' END TT?Ã333333?Ã333333AO€Â _ ?æ¸Që…¸@+@[:,:]1,1 \ No newline at end of file diff --git a/pypeit/tests/files/spec1d_cN20170331S0221-pisco_GNIRS_20170331T092059.597.fits b/pypeit/tests/files/spec1d_cN20170331S0221-pisco_GNIRS_20170331T092059.597.fits index 3f06c3ef97..a9cb01404a 100644 --- a/pypeit/tests/files/spec1d_cN20170331S0221-pisco_GNIRS_20170331T092059.597.fits +++ b/pypeit/tests/files/spec1d_cN20170331S0221-pisco_GNIRS_20170331T092059.597.fits @@ -1,2189 +1,2957 @@ -SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created RA = 205.53380833 / (J2000) RA in decimal degrees DEC = 9.47733611 / (J2000) DEC in decimal degrees TARGET = 'pisco ' / Name of the target DISPNAME= '32/mmSB_G5533' / Disperser name DECKER = 'SCXD_G5531' / Slit/mask/decker name BINNING = '1,1 ' / "spectral,spatial" binning MJD = 57843.389578673 / Observation MJD; Read by astropy.time.Time formAIRMASS = 1.041 / Airmass EXPTIME = 300.0 / Exposure time (s) FILENAME= 'cN20170331S0221.fits' INSTRUME= 'GNIRS ' PYPELINE= 'Echelle ' PYP_SPEC= 'gemini_gnirs' / PypeIt: Spectrograph name TELESCOP= 'GEMINI-N' / Telescope LON-OBS = -155.4690467527778 / Telescope longitude LAT-OBS = 19.82380144722223 / Telescope latitute ALT-OBS = 4213.000000001549 / Telescope elevation DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'OBJ0211-DET01-ORDER0008' EXT0001 = 'OBJ0211-DET01-ORDER0007' EXT0002 = 'OBJ0211-DET01-ORDER0006' EXT0003 = 'OBJ0211-DET01-ORDER0005' EXT0004 = 'OBJ0211-DET01-ORDER0004' EXT0005 = 'OBJ0211-DET01-ORDER0003' NSPEC = 6 HISTORY 2023-03-13T19:15 PypeIt Reducing target pisco HISTORY Combining frames: HISTORY "cN20170331S0221.fits" HISTORY "cN20170331S0222.fits" HISTORY Subtracted background from frames: HISTORY "cN20170331S0220.fits" HISTORY "cN20170331S0223.fits" HISTORY Calibration frames: HISTORY arc,science,tilt "cN20170331S0220.fits" HISTORY arc,science,tilt "cN20170331S0221.fits" HISTORY arc,science,tilt "cN20170331S0222.fits" HISTORY arc,science,tilt "cN20170331S0223.fits" HISTORY pixelflat,trace "cN20170331S0252.fits" HISTORY pixelflat,trace "cN20170331S0253.fits" HISTORY pixelflat,trace "cN20170331S0254.fits" HISTORY pixelflat,trace "cN20170331S0255.fits" HISTORY pixelflat,trace "cN20170331S0256.fits" HISTORY pixelflat,trace "cN20170331S0257.fits" HISTORY pixelflat,trace "cN20170331S0258.fits" HISTORY pixelflat,trace "cN20170331S0259.fits" HISTORY pixelflat,trace "cN20170331S0260.fits" HISTORY pixelflat,trace "cN20170331S0261.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 162 / length of dimension 1 NAXIS2 = 1022 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 22 / number of table fields VERSPYT = '3.9.15 ' / Python version VERSNPY = '1.23.4 ' / Numpy version VERSSCI = '1.9.1 ' / Scipy version VERSAST = '5.2.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev137+g95b15695a' / PypeIt version DATE = '2023-03-13' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.7 ' / Datamodel version FWHM = 4.371952197522423 HIERARCH SMASH_PEAKFLUX = 8.552127415379056 HIERARCH SMASH_SNR = 14.33961993813083 HIERARCH BOX_RADIUS = 10.0 S2N = 0.0 HIERARCH FLEX_SHIFT_GLOBAL = 0.0 HIERARCH FLEX_SHIFT_LOCAL = 0.0 HIERARCH FLEX_SHIFT_TOTAL = 0.0 VEL_TYPE= 'heliocentric' VEL_CORR= 1.000017718607959 DET = 'DET01 ' PYPELINE= 'Echelle ' OBJTYPE = 'science ' HIERARCH SPAT_PIXPOS = 290.635331819918 HIERARCH SPAT_FRACPOS = 0.2111844687674184 HIERARCH MASKWIDTH = 22.2942416499363 WAVE_RMS= 0.52419869482921 SLITID = 303 OBJID = 1 NAME = 'OBJ0211-DET01-ORDER0008' HIERARCH HAND_EXTRACT_FLAG = F HIERARCH ECH_OBJID = 1 HIERARCH ECH_ORDERINDX = 0 HIERARCH ECH_FRACPOS = 0.2111844687674184 HIERARCH ECH_ORDER = 8 ECH_NAME= 'OBJ0211-DET01' TTYPE1 = 'TRACE_SPAT' TFORM1 = '1D ' TTYPE2 = 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-ÚGÅ„)TÀhéî·l«@1g©Õm_?ð?ï"Ÿ0ª U@3M"ua @ÀÓgÖá”~À,æ\J?6¡ƒ¹³ñ^@JèA㶕?R*â +SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created RA = 205.53380833 DEC = 9.47733611 TARGET = 'pisco ' DISPNAME= '32/mmSB_G5533' DECKER = 'SCXD_G5531' BINNING = '1,1 ' MJD = 57843.389578673 AIRMASS = 1.041 EXPTIME = 300.0 FILENAME= 'cN20170331S0221.fits' INSTRUME= 'GNIRS ' PYPELINE= 'Echelle ' PYP_SPEC= 'gemini_gnirs' TELESCOP= 'GEMINI-N' LON-OBS = -155.4690467527778 LAT-OBS = 19.82380144722223 ALT-OBS = 4213.000000001549 DMODCLS = 'SpecObjs' / Datamodel class DMODVER = '1.0.0 ' / Datamodel version EXT0000 = 'OBJ0211-DET01-ORDER0008' EXT0001 = 'OBJ0211-DET01-ORDER0007' EXT0002 = 'OBJ0211-DET01-ORDER0006' EXT0003 = 'OBJ0211-DET01-ORDER0005' EXT0004 = 'OBJ0211-DET01-ORDER0004' EXT0005 = 'OBJ0211-DET01-ORDER0003' NSPEC = 6 HISTORY 2023-03-26T04:54 PypeIt Reducing target pisco HISTORY Combining frames: HISTORY "cN20170331S0221.fits" HISTORY "cN20170331S0222.fits" HISTORY Subtracted background from frames: HISTORY "cN20170331S0220.fits" HISTORY "cN20170331S0223.fits" HISTORY Calibration frames: HISTORY arc,science,tilt "cN20170331S0220.fits" HISTORY arc,science,tilt "cN20170331S0221.fits" HISTORY arc,science,tilt "cN20170331S0222.fits" HISTORY arc,science,tilt "cN20170331S0223.fits" HISTORY pixelflat,trace "cN20170331S0252.fits" HISTORY pixelflat,trace "cN20170331S0253.fits" HISTORY pixelflat,trace "cN20170331S0254.fits" HISTORY pixelflat,trace "cN20170331S0255.fits" HISTORY pixelflat,trace "cN20170331S0256.fits" HISTORY pixelflat,trace "cN20170331S0257.fits" HISTORY pixelflat,trace "cN20170331S0258.fits" HISTORY pixelflat,trace "cN20170331S0259.fits" HISTORY pixelflat,trace "cN20170331S0260.fits" HISTORY pixelflat,trace "cN20170331S0261.fits" END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 210 / length of dimension 1 NAXIS2 = 1022 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 28 / number of table fields VERSPYT = '3.9.7 ' / Python version VERSNPY = '1.20.3 ' / Numpy version VERSSCI = '1.8.0 ' / Scipy version VERSAST = '5.1 ' / Astropy version VERSSKL = '1.0.2 ' / Scikit-learn version VERSPYP = '1.12.2.dev155+g4328802a9' / PypeIt version DATE = '2023-03-26' / UTC date created DMODCLS = 'SpecObj ' / Datamodel class DMODVER = '1.1.8 ' / Datamodel version FWHM = 4.371950655511353 HIERARCH SMASH_PEAKFLUX = 8.554649670963311 HIERARCH SMASH_SNR = 14.3435297165041 HIERARCH BOX_RADIUS = 10.0 S2N = 0.0 HIERARCH FLEX_SHIFT_GLOBAL = 0.0 HIERARCH FLEX_SHIFT_LOCAL = 0.0 HIERARCH FLEX_SHIFT_TOTAL = 0.0 VEL_TYPE= 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