taniguchi-2021-analysis

Analysis repository for Taniguchi et al. 2021, AJ, 162, 111

Overview

This repository contains Jupyter notebooks (notes/*) and a Python package (taniguchi_2021_analysis). It does not contain any observed datasets; please contact the corresponding author to get them. Users can rerun the notebooks by a Jupyter notebook environment and dependencies described in pyproject.toml. The following describes how to setup a standalone environment by VS Code and Docker.

1. Install VS Code and Docker Desktop, and launch them
2. Install the Remote Containers extension to VS Code
3. Clone this repository
4. Put datasets (*.nc) in ./data
5. Open the repository by VS Code
6. Choose Reopen in Container from the Command Palette

Data

Data	LMT ID	Description
xffts_20191126051026_086889_01.nc	86889	XFFTS spectra of a hot-load measurement for LMT ID 86890.
xffts_20191126051059_086890_01.nc	86890	XFFTS spectra of a CO(4-3) observation of PJ020941.3.
xffts_20191126055343_086895_01.nc	86895	XFFTS spectra of a hot-load measurement for LMT ID 86896.
xffts_20191126055417_086896_01.nc	86896	XFFTS spectra of a CO(5-4) observation of PJ020941.3.
lmttpm_20191126_086889_00_01.nc	86889	LMT telescope log.
lmttpm_20191126_086890_00_01.nc	86890	LMT telescope log.
lmttpm_20191126_086895_00_01.nc	86895	LMT telescope log.
lmttpm_20191126_086896_00_01.nc	86896	LMT telescope log.

Notes

Note	Description
2020-02-26	Data analysis using an initial algorithm (GoDec + modification).
2020-04-27	Making figures for the paper (figures 1-3).
2020-05-07	Making figures for the paper (figures 4-11).
2021-05-24	Inspection of the LMT log (on-off separation and transition time).