MegaTable

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 this repository corresponds to PHANGS mega-tables version 4.2. The latest published version is version 4.0 (in the PHANGS CADC archive).

Code Architecture

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 width
• mega_table.table.TessellMegaTable: Assemble measurements according to a given tessellation pattern
• mega_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 disk
• config_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

Contact

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.