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

Authors: Hosek, Matthew W.; Lu, Jessica R.; Lam, Casey Y.; Gautam, Abhimat K.; Lockhart, Kelly E.; Kim, Dongwon; Jia, Siyao;

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

Abstract

SPISEA (Stellar Population Interface for Stellar Evolution and Atmospheres) is a python package that generates single-age, single-metallicity populations (i.e. star clusters). It gives the user control over many parameters: Cluster characteristics (age, metallicity, mass, distance) Total extinction, differential extinction, and extinction law Stellar evolution and atmosphere models Stellar multiplicity and Initial Mass Function Initial-Final Mass Relation Photometric filters Here is a brief list of things that SPISEA can do: make a cluster isochrone in many filters using different stellar models make a star cluster at any age with an unusual IMF and unresolved multiplicity make a spectrum of a star cluster in integrated light Code is available for download via Github (https://github.com/astropy/SPISEA) and documentation is available via ReadtheDocs (https://spisea.readthedocs.io/en/latest/index.html).

SPISEA v2.0.0 has the same functionality as PyPopStarv1.0.1, but with the software name changed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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