Published June 26, 2022 | Version 0.2.0

ArtPop

  • 1. Center for Cosmology and AstroParticle Physics (CCAPP), The Ohio State University, Columbus, OH 43210, USA
  • 2. Department of Astrophysical Sciences, 4 Ivy Lane, Princeton University, Princeton, NJ 08544
  • 1. Yale University
  • 2. Space Telescope Science Institute

Description

We present Artificial Stellar Populations (ArtPop), an open-source Python package for synthesizing stellar populations and generating artificial images of fully populated stellar systems. The code is designed to be intuitive to use and as modular as possible, making it possible to use each of its functionalities independently or together. ArtPop has a wide range of scientific and pedagogical use cases, including the measurement of detection efficiencies in current and future imaging surveys, the calculation of integrated stellar population parameters, quantitative comparisons of isochrone models, and the development and validation of astronomical image processing algorithms. ArtPop is under active development, and we welcome bug reports, feature requests, and code contributions from the community.

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ArtPop.zip

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Additional details

Related works

Is supplemented by
Preprint: arXiv:2109.13943 (arXiv)