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SPISEA: A Python-based Simple Stellar Population Synthesis Code for Star Clusters

delete2020-08-28
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OA
AI
M
Matthew W. Hosek *
J
Jessica R. Lu
C
Casey Y. Lam
A
Abhimat K. Gautam
K
Kelly E. Lockhart
D
Dongwon Kim
S
Siyao Jia
DOI:10.3847/1538-3881/aba533delete
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Abstract

Abstract

En 中文
We present Stellar Population Interface for Stellar Evolution and Atmospheres (SPISEA), an open-source Python package that simulates simple stellar populations. The strength of SPISEA is its modular interface which offers the user control of 13 input properties including (but not limited to) the initial mass function, stellar multiplicity, extinction law, and the metallicity-dependent stellar evolution and atmosphere model grids used. The user also has control over the initial-final mass relation in order to produce compact stellar remnants (black holes, neutron stars, and white dwarfs). We demonstrate several outputs produced by the code, including colormagnitude diagrams, HR-diagrams, luminosity functions, and mass functions. SPISEA is object-oriented and extensible, and we welcome contributions from the community. The code and documentation are available on GitHub (https://github.com/astropy/SPISEA) and ReadtheDocs (https://spisea.readthedocs.io/en/latest/), respectively.
Keywords:
Astronomy software
Open source software
Star clusters
Stellar populations

Journal

Astronomical Journal cover
Astronomical Journal
IF:
5.1
Papers:
1.4W
Citations:
5.0W

Organization

U
University of California Berkeley
Scholars:
3.5W
Papers: 2.8W
Citations: 11.3W
U
university of california los angeles
Scholars:
5.3W
Papers: 4.2W
Citations: 89
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
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