This repository contains the source code for generating rich multiwavelength data tables (a.k.a. the "mega-tables") for the PHANGS team. The table construction and data aggregation schemes are described in the following papers:
- Sun, Leroy, Rosolowsky, et al. (2022), "Molecular Cloud Populations in the Context of Their Host Galaxy Environments: A Multiwavelength Perspective"
- Sun, Leroy, Ostriker, et al. (2023), "Star Formation Laws and Efficiencies across 80 Nearby Galaxies"
The current version of the repository corresponds to PHANGS mega-tables version 4.0.
This repository consists of a python module named mega_table and a suite of python scripts and configuration files in the pipelines subdirectory.
The mega_table module provides the core infrastructure for table creation, manipulation, and input/output. This module relies heavily on the astropy.table subpackage. Most of the tools in this module are offered through three python classes:
mega_table.table.RadialMegaTable: Assemble measurements in radial bins with a given widthmega_table.table.TessellMegaTable: Assemble measurements according to a given tessellation patternmega_table.table.ApertureMegaTable: Assemble measurements in arbitrarily placed, fixed size apertures
The pipelines subdirectory includes the actual production code for the PHANGS mega-tables:
config_data_path.json: This file specifies the path to the underlying datasets on diskconfig_tables.json: This file provides input parameters for table creation (e.g., table naming convention, bin width, FoV extent)format_*.csv: These files controls the column-by-column content of the output tables (e.g., column names, physical units, descriptions)make_*.py: These are the python scripts that define and incorporate the multiwavelength measurements in the PHANGS mega-tables
If you need help using the code in this repository for science applications, please reach out to Jiayi Sun. For bug reports and improvement suggestions, please open an Issue on Github.