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arXiv · 1411.3786

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
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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.

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Ted von Hippel, Elliot Robinson, Elizabeth Jeffery, Rachel Wagner-Kaiser, Steven DeGennaro, Nathan Stein, David Stenning, William H. Jefferys, David van Dyk. 2014-11-14. Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual. https://arxiv.org/abs/1411.3786

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