diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/data.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/data.yaml new file mode 100644 index 0000000000..255639204c --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/data.yaml @@ -0,0 +1,3 @@ +data_central: +- 3.50000000e+06 +- 4.53000000e+06 diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter.py b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter.py new file mode 100644 index 0000000000..512d5a1d30 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter.py @@ -0,0 +1,88 @@ +""" +filter.py module for ATLAS_WPWM_13TEV dataset +When running `python filter.py` the relevant uncertainties , data and kinematics yaml +file will be created in the `nnpdf_data/commondata/ATLAS_WPWM_13TEV` directory. +""" + +import yaml +from filter_utils import get_kinematics, get_data_values, get_systematics +from nnpdf_data.filter_utils.utils import prettify_float + +yaml.add_representer(float, prettify_float) + + +def filter_ATLAS_WPWM_13TEV_TOT_data_kinetic(): + """ + This function writes the central values and kinematics to yaml files. + """ + + kin = get_kinematics() + # only keep first 2 as the last bin is for Z observable + central_values = list(get_data_values())[:-1] + + data_central_yaml = {"data_central": central_values} + + kinematics_yaml = {"bins": kin} + + # write central values and kinematics to yaml file + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + +def filter_ATLAS_WPWM_13TEV_TOT_systematics(): + """ + This function writes the systematics to a yaml file. + """ + + with open("metadata.yaml", "r") as file: + metadata = yaml.safe_load(file) + + systematics = get_systematics() + + # error definition + error_definitions = {} + errors = [] + + for sys in systematics: + if sys[0]['name'] == 'stat': + error_definitions[sys[0]['name']] = { + "description": f"{sys[0]['name']}", + "treatment": "ADD", + "type": "UNCORR", + } + + elif sys[0]['name'] == 'ATLAS_LUMI': + error_definitions["ATLASLUMI13"] = { + "description": f"ATLASLUMI13", + "treatment": "MULT", + "type": "ATLASLUMI13", + } + + else: + error_definitions[sys[0]['name']] = { + "description": f"{sys[0]['name']}", + "treatment": "ADD", + "type": f"{sys[0]['name']}", + } + + for i in range(metadata['implemented_observables'][0]['ndata']): + error_value = {} + + for sys in systematics: + error_value[sys[0]['name']] = float(sys[0]['values'][i]) + + errors.append(error_value) + + uncertainties_yaml = {"definitions": error_definitions, "bins": errors} + + # write uncertainties + with open(f"uncertainties.yaml", 'w') as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + filter_ATLAS_WPWM_13TEV_TOT_data_kinetic() + filter_ATLAS_WPWM_13TEV_TOT_systematics() diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter_utils.py b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter_utils.py new file mode 100644 index 0000000000..68a97d7b6c --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/filter_utils.py @@ -0,0 +1,135 @@ +""" +This module contains helper functions that are used to extract the uncertainties, kinematics and data values +from the rawdata files. +""" + +import yaml +import numpy as np +from nnpdf_data.filter_utils.utils import decompose_covmat + +MW2 = 80.385**2 +UNIT_CONVERSION = 1000000 +TABLES = [9, 8, 11] # order is W-, W+, Z + + +def get_kinematics(): + """ + returns the kinematics in the form of a list of dictionaries. + """ + kin = [] + + for _ in range(2): + + kin_value = { + 'm_W2': {'min': None, 'mid': MW2, 'max': None}, + 'sqrts': {'min': None, 'mid': 13000.0, 'max': None}, + } + + kin.append(kin_value) + + return kin + + +def get_data_values(): + """ + returns the central data values in the form of a list. + """ + name_data = lambda tab: f"rawdata/HEPData-ins1436497-v1-Table_{tab}.yaml" + + data_central = [] + + for tab in TABLES: + with open(name_data(tab), 'r') as file: + input = yaml.safe_load(file) + values = input['dependent_variables'][0]['values'] + data_central.append(values[0]['value'] * UNIT_CONVERSION) + + return data_central + + +def get_uncertainties(): + """ + Returns array of shape (3,3) + Each row corresponds to a different observable: (W-, W+, Z) + Each column corresponds to a different systematic: (stat, sys, lumi) + + See table 3 of paper: https://arxiv.org/abs/1603.09222 + """ + + name_data = lambda tab: f"rawdata/HEPData-ins1436497-v1-Table_{tab}.yaml" + + uncertainties = [] + + for tab in TABLES: + with open(name_data(tab), 'r') as file: + input = yaml.safe_load(file) + errors = input['dependent_variables'][0]['values'][0]['errors'] + uncertainties.append( + np.array([errors[0]['symerror'], errors[1]['symerror'], errors[2]['symerror']]) + ) + + return np.array(uncertainties) * UNIT_CONVERSION + + +def get_correlation_matrix(): + """ + See extra material page: https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2015-03/tabaux_03.pdf + + Note that this does not include the normalisation uncertainty due to the luminosity. + """ + + correlation_matrix = np.ones((3, 3)) + correlation_matrix[0, 1] = 0.93 + correlation_matrix[1, 0] = correlation_matrix[0, 1] + correlation_matrix[0, 2] = 0.18 + correlation_matrix[2, 0] = correlation_matrix[0, 2] + correlation_matrix[1, 2] = 0.19 + correlation_matrix[2, 1] = correlation_matrix[1, 2] + + return correlation_matrix + + +def get_covariance_matrices(): + """ + For the systematics see Table 3 of paper: https://arxiv.org/abs/1603.09222 + + Returns: + -------- + tuple: (cov_matrix_no_lumi, lumi_cov) + cov_matrix_no_lumi: np.array, the sum of stat and syst covmats -> to be decomposed into artificial systematics + lumi_cov: np.array, the lumi covmat. This is correlated between experiments so needs to be saved with type: SPECIAL + """ + corr_matrix = get_correlation_matrix() + uncertainties = get_uncertainties() + + # build correlated systematics covariance + sys = np.array([uncertainties[i, 1] for i in range(3)]) + cov_sys = corr_matrix * np.outer(sys, sys) + + # array of lumi uncertainties + lumi_unc = np.array([uncertainties[i, 2] for i in range(3)]) + + # array of stat uncertainties + stat = np.array([uncertainties[i, 0] for i in range(3)]) + + return stat, cov_sys, lumi_unc + + +def get_systematics(): + stat, cov_sys, lumi_unc = get_covariance_matrices() + + # decompose sys covmat + syst_unc = decompose_covmat(cov_sys) + + uncertainties = [] + + # store only systematics for W+ and W- + for i in range(3): + uncertainties.append( + [{"name": f"ATLAS_WZ_TOT_13TEV_{i}", "values": [syst_unc[0, i], syst_unc[1, i]]}] + ) + + uncertainties.append([{"name": "stat", "values": [stat[0], stat[1]]}]) + uncertainties.append([{"name": "ATLAS_LUMI", "values": [lumi_unc[0], lumi_unc[1]]}]) + + return uncertainties diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/kinematics.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/kinematics.yaml new file mode 100644 index 0000000000..cc57c2bf4c --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/kinematics.yaml @@ -0,0 +1,17 @@ +bins: +- m_W2: + min: null + mid: 6.46174823e+03 + max: null + sqrts: + min: null + mid: 13000.0 + max: null +- m_W2: + min: null + mid: 6.46174823e+03 + max: null + sqrts: + min: null + mid: 13000.0 + max: null diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/metadata.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/metadata.yaml index 77f74cc9a5..f2b77796a0 100644 --- a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/metadata.yaml @@ -1,6 +1,6 @@ setname: ATLAS_WPWM_13TEV version: 1 -version_comment: Port of old commondata +version_comment: New implementation, as for the old one, data is taken from Table 3 of the paper nnpdf_metadata: nnpdf31_process: DY CC experiment: ATLAS @@ -8,10 +8,11 @@ arXiv: url: https://arxiv.org/abs/1603.09222 journal: Phys. Lett. B759 (2016) 601 iNSPIRE: - url: '' + url: 'https://inspirehep.net/literature/1436497' hepdata: - url: '' - version: -1 + url: 'https://www.hepdata.net/record/73640, https://www.hepdata.net/record/73641' + + version: 1 implemented_observables: - observable_name: TOT observable: @@ -19,11 +20,11 @@ implemented_observables: label: ATLAS $W$ inclusive 13 TeV units: '' process_type: INC - tables: [] - npoints: [] + tables: [9, 8, 11] + npoints: [2] ndata: 2 plotting: - kinematics_override: inc_sqrt_scale + kinematics_override: identity dataset_label: ATLAS $W$ inclusive 13 TeV y_label: $\sigma^{fid}$ (fb) figure_by: @@ -37,34 +38,30 @@ implemented_observables: - W plot_x: ' ' kinematic_coverage: - - k1 - - k2 - - k3 + - m_W2 + - sqrts kinematics: variables: - k1: - description: Variable k1 - label: k1 - units: '' - k2: - description: Variable k2 - label: k2 - units: '' - k3: - description: Variable k3 - label: k3 - units: '' - file: kinematics_TOT.yaml + m_W2: + description: W boson squared mass + label: '$m_W^2$' + units: 'GeV$^2$' + sqrts: + description: center of mass energy + label: '$\sqrt{s}$' + units: 'GeV' + file: kinematics.yaml theory: conversion_factor: 1.0 operation: 'null' FK_tables: - - ATLAS_WZ_TOT_13TEV-ATLASWZTOT13TEV81PB_WM_tot - ATLAS_WZ_TOT_13TEV-ATLASWZTOT13TEV81PB_WP_tot - data_uncertainties: [] + data_uncertainties: + - uncertainties.yaml variants: legacy: data_uncertainties: - uncertainties_legacy_TOT.yaml - data_central: data_legacy_TOT.yaml + data_central: data.yaml ported_from: ATLAS_W_TOT_13TEV diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_11.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_11.yaml new file mode 100644 index 0000000000..6c400ca342 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_11.yaml @@ -0,0 +1,20 @@ +dependent_variables: +- header: {name: SIG, units: NB} + qualifiers: + - {name: ABS(ETARAP(C=ELECTRON)), value: < 2.5} + - {name: ABS(ETARAP(C=MUON)), value: < 2.5} + - {name: MZ, units: GEV, value: 66-116} + - {name: PT(C=ELECTRON), units: GEV, value: '> 25'} + - {name: PT(C=MUON), units: GEV, value: '> 25'} + - {name: RE, value: P P --> ( Z0 < E+ E- + MU+ MU- > + GAMMA* < E+ E- + MU+ MU- + > ) X} + values: + - errors: + - {label: stat, symerror: 0.003} + - {label: sys, symerror: 0.006} + - {label: sys, symerror: 0.016} + value: 0.779 +independent_variables: +- header: {name: SQRT(S), units: GEV} + values: + - {value: 13000.0} diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml new file mode 100644 index 0000000000..68cd381750 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml @@ -0,0 +1,20 @@ +dependent_variables: +- header: {name: SIG, units: NB} + qualifiers: + - {name: ABS(ETARAP(C=ELECTRON)), value: < 2.5} + - {name: ABS(ETARAP(C=MUON)), value: < 2.5} + - {name: MT, units: GEV, value: '> 50'} + - {name: PT(C=ELECTRON), units: GEV, value: '> 25'} + - {name: PT(C=MUON), units: GEV, value: '> 25'} + - {name: PT(C=NU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+ < E+ NUE + MU+ NUMU > X} + values: + - errors: + - {label: stat, symerror: 0.01} + - {label: sys, symerror: 0.09} + - {label: sys, symerror: 0.1} + value: 4.53 +independent_variables: +- header: {name: SQRT(S), units: GEV} + values: + - {value: 13000.0} diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml new file mode 100644 index 0000000000..efd8411b2a --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml @@ -0,0 +1,20 @@ +dependent_variables: +- header: {name: SIG, units: NB} + qualifiers: + - {name: 'ABS(ETARAP(C=ELECTRON)}', value: < 2.5} + - {name: ABS(ETARAP(C=MUON)), value: < 2.5} + - {name: MT, units: GEV, value: '> 50'} + - {name: PT(C=ELECTRON), units: GEV, value: '> 25'} + - {name: PT(C=MUON), units: GEV, value: '> 25'} + - {name: PT(C=NU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W- < E- NUEBAR + MU- NUMUBAR > X} + values: + - errors: + - {label: stat, symerror: 0.01} + - {label: sys, symerror: 0.07} + - {label: sys, symerror: 0.07} + value: 3.5 +independent_variables: +- header: {name: SQRT(S), units: GEV} + values: + - {value: 13000.0} diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/uncertainties.yaml new file mode 100644 index 0000000000..e57bb9f4bb --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_WPWM_13TEV/uncertainties.yaml @@ -0,0 +1,32 @@ +definitions: + ATLAS_WZ_TOT_13TEV_0: + description: ATLAS_WZ_TOT_13TEV_0 + treatment: ADD + type: ATLAS_WZ_TOT_13TEV_0 + ATLAS_WZ_TOT_13TEV_1: + description: ATLAS_WZ_TOT_13TEV_1 + treatment: ADD + type: ATLAS_WZ_TOT_13TEV_1 + ATLAS_WZ_TOT_13TEV_2: + description: ATLAS_WZ_TOT_13TEV_2 + treatment: ADD + type: ATLAS_WZ_TOT_13TEV_2 + stat: + description: stat + treatment: ADD + type: UNCORR + ATLASLUMI13: + description: ATLASLUMI13 + treatment: MULT + type: ATLASLUMI13 +bins: +- ATLAS_WZ_TOT_13TEV_0: 6.80483165e+04 + ATLAS_WZ_TOT_13TEV_1: 1.64142169e+04 + ATLAS_WZ_TOT_13TEV_2: -1.03156424e+01 + stat: 10000.0 + ATLAS_LUMI: 70000.0 +- ATLAS_WZ_TOT_13TEV_0: 8.91232992e+04 + ATLAS_WZ_TOT_13TEV_1: -1.25312809e+04 + ATLAS_WZ_TOT_13TEV_2: -6.74297267e+01 + stat: 10000.0 + ATLAS_LUMI: 100000.0 diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/data.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/data.yaml new file mode 100644 index 0000000000..06a6e43bd9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/data.yaml @@ -0,0 +1,2 @@ +data_central: +- 779000.0 diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/filter.py b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/filter.py new file mode 100644 index 0000000000..1ccca1ede4 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/filter.py @@ -0,0 +1,96 @@ +""" +filter.py module for ATLAS_WPWM_13TEV dataset +When running `python filter.py` the relevant uncertainties , data and kinematics yaml +file will be created in the `nnpdf_data/commondata/ATLAS_WPWM_13TEV` directory. +""" + +import yaml +from filter_utils import get_data_values, get_systematics +from nnpdf_data.filter_utils.utils import prettify_float + +yaml.add_representer(float, prettify_float) + +MZ2 = 91.1876**2 + + +def filter_ATLAS_Z0_13TEV_TOT_data_kinetic(): + """ + This function writes the central values and kinematics to yaml files. + """ + + kin = [ + { + 'm_Z2': {'min': None, 'mid': MZ2, 'max': None}, + 'sqrts': {'min': None, 'mid': 13000.0, 'max': None}, + } + ] + + # only keep the last entry corresponding to Z observable + central_values = [get_data_values()[-1]] + + data_central_yaml = {"data_central": central_values} + + kinematics_yaml = {"bins": kin} + + # write central values and kinematics to yaml file + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + +def filter_ATLAS_Z0_13TEV_TOT_systematics(): + """ + This function writes the systematics to a yaml file. + """ + + with open("metadata.yaml", "r") as file: + metadata = yaml.safe_load(file) + + systematics = get_systematics() + + # error definition + error_definitions = {} + errors = [] + + for sys in systematics: + if sys[0]['name'] == 'stat': + error_definitions[sys[0]['name']] = { + "description": f"{sys[0]['name']}", + "treatment": "ADD", + "type": "UNCORR", + } + + elif sys[0]['name'] == 'ATLAS_LUMI': + error_definitions["ATLASLUMI13"] = { + "description": f"ATLASLUMI13", + "treatment": "MULT", + "type": "ATLASLUMI13", + } + + else: + error_definitions[sys[0]['name']] = { + "description": f"{sys[0]['name']}", + "treatment": "ADD", + "type": f"{sys[0]['name']}", + } + + for i in range(metadata['implemented_observables'][0]['ndata']): + error_value = {} + + for sys in systematics: + error_value[sys[0]['name']] = float(sys[0]['values'][i]) + + errors.append(error_value) + + uncertainties_yaml = {"definitions": error_definitions, "bins": errors} + + # write uncertainties + with open(f"uncertainties.yaml", 'w') as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + filter_ATLAS_Z0_13TEV_TOT_data_kinetic() + filter_ATLAS_Z0_13TEV_TOT_systematics() diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/filter_utils.py b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/filter_utils.py new file mode 100644 index 0000000000..63f31870ba --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/filter_utils.py @@ -0,0 +1,115 @@ +""" +This module contains helper functions that are used to extract the uncertainties, kinematics and data values +from the rawdata files. +""" + +import yaml +import numpy as np +from nnpdf_data.filter_utils.utils import decompose_covmat + + +UNIT_CONVERSION = 1000000 +TABLES = [9, 8, 11] # order is W-, W+, Z + + +def get_data_values(): + """ + returns the central data values in the form of a list. + """ + name_data = lambda tab: f"rawdata/HEPData-ins1436497-v1-Table_{tab}.yaml" + + data_central = [] + + for tab in TABLES: + with open(name_data(tab), 'r') as file: + input = yaml.safe_load(file) + values = input['dependent_variables'][0]['values'] + data_central.append(values[0]['value'] * UNIT_CONVERSION) + + return data_central + + +def get_uncertainties(): + """ + Returns array of shape (3,3) + Each row corresponds to a different observable: (W-, W+, Z) + Each column corresponds to a different systematic: (stat, sys, lumi) + + See table 3 of paper: https://arxiv.org/abs/1603.09222 + """ + + name_data = lambda tab: f"rawdata/HEPData-ins1436497-v1-Table_{tab}.yaml" + + uncertainties = [] + + for tab in TABLES: + with open(name_data(tab), 'r') as file: + input = yaml.safe_load(file) + errors = input['dependent_variables'][0]['values'][0]['errors'] + uncertainties.append( + np.array([errors[0]['symerror'], errors[1]['symerror'], errors[2]['symerror']]) + ) + + return np.array(uncertainties) * UNIT_CONVERSION + + +def get_correlation_matrix(): + """ + See extra material page: https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2015-03/tabaux_03.pdf + + Note that this does not include the normalisation uncertainty due to the luminosity. + """ + + correlation_matrix = np.ones((3, 3)) + correlation_matrix[0, 1] = 0.93 + correlation_matrix[1, 0] = correlation_matrix[0, 1] + correlation_matrix[0, 2] = 0.18 + correlation_matrix[2, 0] = correlation_matrix[0, 2] + correlation_matrix[1, 2] = 0.19 + correlation_matrix[2, 1] = correlation_matrix[1, 2] + + return correlation_matrix + + +def get_covariance_matrices(): + """ + For the systematics see Table 3 of paper: https://arxiv.org/abs/1603.09222 + + Returns: + -------- + tuple: (cov_matrix_no_lumi, lumi_cov) + cov_matrix_no_lumi: np.array, the sum of stat and syst covmats -> to be decomposed into artificial systematics + lumi_cov: np.array, the lumi covmat. This is correlated between experiments so needs to be saved with type: SPECIAL + """ + corr_matrix = get_correlation_matrix() + uncertainties = get_uncertainties() + + # build correlated systematics covariance + sys = np.array([uncertainties[i, 1] for i in range(3)]) + cov_sys = corr_matrix * np.outer(sys, sys) + + # array of lumi uncertainties + lumi_unc = np.array([uncertainties[i, 2] for i in range(3)]) + + # array of stat uncertainties + stat = np.array([uncertainties[i, 0] for i in range(3)]) + + return stat, cov_sys, lumi_unc + + +def get_systematics(): + stat, cov_sys, lumi_unc = get_covariance_matrices() + + # decompose sys covmat + syst_unc = decompose_covmat(cov_sys) + + uncertainties = [] + + # store only systematics for W+ and W- + for i in range(3): + uncertainties.append([{"name": f"ATLAS_WZ_TOT_13TEV_{i}", "values": [syst_unc[2, i]]}]) + + uncertainties.append([{"name": "stat", "values": [stat[2]]}]) + uncertainties.append([{"name": "ATLAS_LUMI", "values": [lumi_unc[2]]}]) + + return uncertainties diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/kinematics.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/kinematics.yaml new file mode 100644 index 0000000000..a881171bd6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/kinematics.yaml @@ -0,0 +1,9 @@ +bins: +- m_Z2: + min: null + mid: 8.31517839e+03 + max: null + sqrts: + min: null + mid: 13000.0 + max: null diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/metadata.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/metadata.yaml index 4ca09d36f7..e5f3d4b91a 100644 --- a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/metadata.yaml @@ -1,6 +1,6 @@ setname: ATLAS_Z0_13TEV version: 1 -version_comment: Port of old commondata +version_comment: New implementation, as for the old one, data is taken from Table 3 of the paper nnpdf_metadata: nnpdf31_process: DY NC experiment: ATLAS @@ -19,11 +19,11 @@ implemented_observables: label: ATLAS $Z$ inclusive 13 TeV units: '' process_type: INC - tables: [] - npoints: [] + tables: [9, 8, 11] + npoints: [1] ndata: 1 plotting: - kinematics_override: inc_sqrt_scale + kinematics_override: identity dataset_label: ATLAS $Z$ inclusive 13 TeV y_label: $\sigma^{fid}$ (fb) figure_by: @@ -35,33 +35,29 @@ implemented_observables: - Z plot_x: ' ' kinematic_coverage: - - k1 - - k2 - - k3 + - m_Z2 + - sqrts kinematics: variables: - k1: - description: Variable k1 - label: k1 - units: '' - k2: - description: Variable k2 - label: k2 - units: '' - k3: - description: Variable k3 - label: k3 - units: '' - file: kinematics_TOT.yaml + m_Z2: + description: Z boson mass squared + label: '$m_{Z}^2$' + units: 'GeV$^2$' + sqrts: + description: center of mass energy + label: '$\sqrt{s}$' + units: 'GeV' + file: kinematics.yaml theory: conversion_factor: 1.0 operation: 'null' FK_tables: - - ATLAS_WZ_TOT_13TEV-ATLASWZTOT13TEV81PB_Z_tot - data_uncertainties: [] + data_uncertainties: + - uncertainties.yaml variants: legacy: data_uncertainties: - uncertainties_legacy_TOT.yaml - data_central: data_legacy_TOT.yaml + data_central: data.yaml ported_from: ATLAS_Z_TOT_13TEV diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_11.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_11.yaml new file mode 100644 index 0000000000..6c400ca342 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_11.yaml @@ -0,0 +1,20 @@ +dependent_variables: +- header: {name: SIG, units: NB} + qualifiers: + - {name: ABS(ETARAP(C=ELECTRON)), value: < 2.5} + - {name: ABS(ETARAP(C=MUON)), value: < 2.5} + - {name: MZ, units: GEV, value: 66-116} + - {name: PT(C=ELECTRON), units: GEV, value: '> 25'} + - {name: PT(C=MUON), units: GEV, value: '> 25'} + - {name: RE, value: P P --> ( Z0 < E+ E- + MU+ MU- > + GAMMA* < E+ E- + MU+ MU- + > ) X} + values: + - errors: + - {label: stat, symerror: 0.003} + - {label: sys, symerror: 0.006} + - {label: sys, symerror: 0.016} + value: 0.779 +independent_variables: +- header: {name: SQRT(S), units: GEV} + values: + - {value: 13000.0} diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml new file mode 100644 index 0000000000..68cd381750 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_8.yaml @@ -0,0 +1,20 @@ +dependent_variables: +- header: {name: SIG, units: NB} + qualifiers: + - {name: ABS(ETARAP(C=ELECTRON)), value: < 2.5} + - {name: ABS(ETARAP(C=MUON)), value: < 2.5} + - {name: MT, units: GEV, value: '> 50'} + - {name: PT(C=ELECTRON), units: GEV, value: '> 25'} + - {name: PT(C=MUON), units: GEV, value: '> 25'} + - {name: PT(C=NU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W+ < E+ NUE + MU+ NUMU > X} + values: + - errors: + - {label: stat, symerror: 0.01} + - {label: sys, symerror: 0.09} + - {label: sys, symerror: 0.1} + value: 4.53 +independent_variables: +- header: {name: SQRT(S), units: GEV} + values: + - {value: 13000.0} diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml new file mode 100644 index 0000000000..efd8411b2a --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/rawdata/HEPData-ins1436497-v1-Table_9.yaml @@ -0,0 +1,20 @@ +dependent_variables: +- header: {name: SIG, units: NB} + qualifiers: + - {name: 'ABS(ETARAP(C=ELECTRON)}', value: < 2.5} + - {name: ABS(ETARAP(C=MUON)), value: < 2.5} + - {name: MT, units: GEV, value: '> 50'} + - {name: PT(C=ELECTRON), units: GEV, value: '> 25'} + - {name: PT(C=MUON), units: GEV, value: '> 25'} + - {name: PT(C=NU), units: GEV, value: '> 25'} + - {name: RE, value: P P --> W- < E- NUEBAR + MU- NUMUBAR > X} + values: + - errors: + - {label: stat, symerror: 0.01} + - {label: sys, symerror: 0.07} + - {label: sys, symerror: 0.07} + value: 3.5 +independent_variables: +- header: {name: SQRT(S), units: GEV} + values: + - {value: 13000.0} diff --git a/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/uncertainties.yaml new file mode 100644 index 0000000000..485c31e9e7 --- /dev/null +++ b/nnpdf_data/nnpdf_data/commondata/ATLAS_Z0_13TEV/uncertainties.yaml @@ -0,0 +1,27 @@ +definitions: + ATLAS_WZ_TOT_13TEV_0: + description: ATLAS_WZ_TOT_13TEV_0 + treatment: ADD + type: ATLAS_WZ_TOT_13TEV_0 + ATLAS_WZ_TOT_13TEV_1: + description: ATLAS_WZ_TOT_13TEV_1 + treatment: ADD + type: ATLAS_WZ_TOT_13TEV_1 + ATLAS_WZ_TOT_13TEV_2: + description: ATLAS_WZ_TOT_13TEV_2 + treatment: ADD + type: ATLAS_WZ_TOT_13TEV_2 + stat: + description: stat + treatment: ADD + type: UNCORR + ATLASLUMI13: + description: ATLASLUMI13 + treatment: MULT + type: ATLASLUMI13 +bins: +- ATLAS_WZ_TOT_13TEV_0: 1.13953999e+03 + ATLAS_WZ_TOT_13TEV_1: -1.14718978e+02 + ATLAS_WZ_TOT_13TEV_2: 5.88967641e+03 + stat: 3000.0 + ATLAS_LUMI: 16000.0