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

Authors

Ted von Hippel, Embry-Riddle Aeronautical UniversityFollow
Elliot Robinson, Argiope Technical SolutionsFollow
Elizabeth Jeffery, Brigham Young UniversityFollow
Rachel Wagner-Kaiser, University of FloridaFollow
Steven DeGennaro, Studio 42Follow
Nathan Stein, University of PennsylvaniaFollow
David Stenning, University of CaliforniaFollow
William H. Jefferys, University of TexasFollow
David van Dyk, Imperial College LondonFollow

Submitting Campus

Daytona Beach

Department

Physical Sciences

Document Type

Article

Publication/Presentation Date

Fall 11-14-2014

Abstract/Description

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.

Scholarly Commons Citation

von Hippel, T., Robinson, E., Jeffery, E., Wagner-Kaiser, R., DeGennaro, S., Stein, N., Stenning, D., Jefferys, W. H., & van Dyk, D. (2014). Bayesian Analysis for Stellar Evolution with Nine Parameters (BASE-9): User's Manual. , (). Retrieved from https://commons.erau.edu/publication/1181