ArtPop: A Stellar Population and Image Simulation Python Package
We present Art ificial Stellar Pop ulations ( ArtPop ), an open-source Python package for synthesizing stellar populations and generating artificial images of stellar systems, populated star by star. The code is designed to be intuitive to use and as modular as possible, making it possible to use ea...
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| Published in | The Astrophysical journal Vol. 941; no. 1; pp. 26 - 37 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Philadelphia
The American Astronomical Society
01.12.2022
IOP Publishing |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0004-637X 1538-4357 1538-4357 |
| DOI | 10.3847/1538-4357/ac75b7 |
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| Abstract | We present
Art
ificial Stellar
Pop
ulations (
ArtPop
), an open-source Python package for synthesizing stellar populations and generating artificial images of stellar systems, populated star by star. 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. In this paper, we give an overview of the
ArtPop
package, provide simple coding examples to demonstrate its implementation, and present results from some potential applications of the code. We provide links to the source code that created each example and figure throughout the paper.
ArtPop
is under active development, and we welcome bug reports, feature requests, and code contributions from the community.
https://artpop.readthedocs.io/en/latest/
https://github.com/ArtificialStellarPopulations/ArtPop/
https://artpop.readthedocs.io/en/latest/tutorials/quickstart.html
https://github.com/ArtificialStellarPopulations/artpop-paper-figures/blob/main/scripts/ |
|---|---|
| AbstractList | We present Artificial Stellar Populations (ArtPop), an open-source Python package for synthesizing stellar populations and generating artificial images of stellar systems, populated star by star. 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. In this paper, we give an overview of the ArtPop package, provide simple coding examples to demonstrate its implementation, and present results from some potential applications of the code. We provide links to the source code that created each example and figure throughout the paper. ArtPop is under active development, and we welcome bug reports, feature requests, and code contributions from the community. https://artpop.readthedocs.io/en/latest/https://github.com/ArtificialStellarPopulations/ArtPop/https://artpop.readthedocs.io/en/latest/tutorials/quickstart.htmlhttps://github.com/ArtificialStellarPopulations/artpop-paper-figures/blob/main/scripts/ We present Art ificial Stellar Pop ulations ( ArtPop ), an open-source Python package for synthesizing stellar populations and generating artificial images of stellar systems, populated star by star. 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. In this paper, we give an overview of the ArtPop package, provide simple coding examples to demonstrate its implementation, and present results from some potential applications of the code. We provide links to the source code that created each example and figure throughout the paper. ArtPop is under active development, and we welcome bug reports, feature requests, and code contributions from the community. https://artpop.readthedocs.io/en/latest/ https://github.com/ArtificialStellarPopulations/ArtPop/ https://artpop.readthedocs.io/en/latest/tutorials/quickstart.html https://github.com/ArtificialStellarPopulations/artpop-paper-figures/blob/main/scripts/ |
| Author | Greco, Johnny P. Danieli, Shany |
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| Snippet | We present
Art
ificial Stellar
Pop
ulations (
ArtPop
), an open-source Python package for synthesizing stellar populations and generating artificial images of... We present Artificial Stellar Populations (ArtPop), an open-source Python package for synthesizing stellar populations and generating artificial images of... |
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| SubjectTerms | Algorithms Astronomical models Astronomy software Astrophysics Celestial bodies Dwarf galaxies Image processing Open source software Source code Star clusters Stellar populations Stellar systems |
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| Title | ArtPop: A Stellar Population and Image Simulation Python Package |
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