Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual

Ted von Hippel; Elliot Robinson; Elizabeth Jeffery; Rachel Wagner-Kaiser; Steven DeGennaro; Nathan Stein; David Stenning; William H. Jefferys; David van Dyk

Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual

Ted von Hippel, Elliot Robinson, Elizabeth Jeffery, Rachel Wagner-Kaiser, Steven DeGennaro, Nathan Stein, David Stenning, William H. Jefferys, David van Dyk

Physical Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

BASE-9 is a Bayesian software suite that recovers star cluster and stellar parameters from photometry. BASE-9 is useful for analyzing single-age, single-metallicity star clusters, binaries, or single stars, and for simulating such systems. BASE-9 uses Markov chain Monte Carlo and brute-force numerical integration techniques to estimate the posterior probability distributions for the age, metallicity, helium abundance, distance modulus, and line-of-sight absorption for a cluster, and the mass, binary mass ratio, and cluster membership probability for every stellar object. BASE-9 is provided as open source code on a version-controlled web server. The executables are also available as Amazon Elastic Compute Cloud images. This manual provides potential users with an overview of BASE-9, including instructions for installation and use.

Original language	American English
Journal	arXiv: Solar and Stellar Astrophysics
State	Published - Nov 14 2014

Keywords

BASE-9
Bayesian software
photometry
star clusters
stellar parameters.

Disciplines

Physics
Astrophysics and Astronomy
Instrumentation
Stars, Interstellar Medium and the Galaxy

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Bayesian Analysis for Stellar Evolution with Nine Parameters (BASFinal published version, 1.19 MBLicense: CC BY

Cite this

@article{989af936a89b4aabadd193a03777526c,

title = "Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual",

abstract = " BASE-9 is a Bayesian software suite that recovers star cluster and stellar parameters from photometry. BASE-9 is useful for analyzing single-age, single-metallicity star clusters, binaries, or single stars, and for simulating such systems. BASE-9 uses Markov chain Monte Carlo and brute-force numerical integration techniques to estimate the posterior probability distributions for the age, metallicity, helium abundance, distance modulus, and line-of-sight absorption for a cluster, and the mass, binary mass ratio, and cluster membership probability for every stellar object. BASE-9 is provided as open source code on a version-controlled web server. The executables are also available as Amazon Elastic Compute Cloud images. This manual provides potential users with an overview of BASE-9, including instructions for installation and use.",

keywords = "BASE-9, Bayesian software, photometry, star clusters, stellar parameters.",

author = "{von Hippel}, Ted and Elliot Robinson and Elizabeth Jeffery and Rachel Wagner-Kaiser and Steven DeGennaro and Nathan Stein and David Stenning and Jefferys, {William H.} and {van Dyk}, David",

year = "2014",

month = nov,

day = "14",

language = "American English",

journal = "arXiv: Solar and Stellar Astrophysics",

}

TY - JOUR

T1 - Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual

AU - von Hippel, Ted

AU - Robinson, Elliot

AU - Jeffery, Elizabeth

AU - Wagner-Kaiser, Rachel

AU - DeGennaro, Steven

AU - Stein, Nathan

AU - Stenning, David

AU - Jefferys, William H.

AU - van Dyk, David

PY - 2014/11/14

Y1 - 2014/11/14

N2 - BASE-9 is a Bayesian software suite that recovers star cluster and stellar parameters from photometry. BASE-9 is useful for analyzing single-age, single-metallicity star clusters, binaries, or single stars, and for simulating such systems. BASE-9 uses Markov chain Monte Carlo and brute-force numerical integration techniques to estimate the posterior probability distributions for the age, metallicity, helium abundance, distance modulus, and line-of-sight absorption for a cluster, and the mass, binary mass ratio, and cluster membership probability for every stellar object. BASE-9 is provided as open source code on a version-controlled web server. The executables are also available as Amazon Elastic Compute Cloud images. This manual provides potential users with an overview of BASE-9, including instructions for installation and use.

AB - BASE-9 is a Bayesian software suite that recovers star cluster and stellar parameters from photometry. BASE-9 is useful for analyzing single-age, single-metallicity star clusters, binaries, or single stars, and for simulating such systems. BASE-9 uses Markov chain Monte Carlo and brute-force numerical integration techniques to estimate the posterior probability distributions for the age, metallicity, helium abundance, distance modulus, and line-of-sight absorption for a cluster, and the mass, binary mass ratio, and cluster membership probability for every stellar object. BASE-9 is provided as open source code on a version-controlled web server. The executables are also available as Amazon Elastic Compute Cloud images. This manual provides potential users with an overview of BASE-9, including instructions for installation and use.

KW - BASE-9

KW - Bayesian software

KW - photometry

KW - star clusters

KW - stellar parameters.

UR - http://arxiv.org/pdf/1411.3786.pdf

UR - https://commons.erau.edu/publication/1181

M3 - Article

JO - arXiv: Solar and Stellar Astrophysics

JF - arXiv: Solar and Stellar Astrophysics

ER -

Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual

Abstract

Keywords

Disciplines

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