SynthPop: A New Framework for Synthetic Milky Way Population Generation

SynthPop: A New Framework for Synthetic Milky Way Population Generation

We present SynthPop , a new open source, modular population synthesis Galactic modeling software to simulate catalogs of Milky Way stars along any sightline outward from the Sun. Motivated by a lack of flexibility in existing Galactic models, SynthPop is coded entirely in python, can be run standalo...

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Bibliographic Details
Main Authors: Jonas Klüter, Macy J. Huston, Abigail Aronica, Samson A. Johnson, Matthew T. Penny, Marz Newman, Farzaneh Zohrabi, Alison L. Crisp, Allison Chevis
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astronomical Journal
Subjects:
the Milky Way
Astronomical models
Stellar populations
Online Access:https://doi.org/10.3847/1538-3881/adcd7a
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Summary:We present SynthPop , a new open source, modular population synthesis Galactic modeling software to simulate catalogs of Milky Way stars along any sightline outward from the Sun. Motivated by a lack of flexibility in existing Galactic models, SynthPop is coded entirely in python, can be run standalone or as an imported module, and is configured by json files that allow different model components to be switched out as desired. We describe the modular code structure, how the population generation process runs, and how to use the code. We also present model validation testing and known inaccuracies and present an example of the code use, comparing Gaia data and the Gaia Universe Model Snapshot to a SynthPop implementation. The code is available now via GitHub with ReadTheDocs documentation and can be installed via pip.
ISSN:1538-3881

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