THE PANCHROMATIC HUBBLE ANDROMEDA TREASURY. XV. the BEAST: BAYESIAN EXTINCTION and STELLAR TOOL

Karl D. Gordon, Morgan Fouesneau, Heddy Arab, Kirill Tchernyshyov, Daniel R. Weisz, Julianne J. Dalcanton, Benjamin F. Williams, Eric F. Bell, Luciana Bianchi, Martha Boyer, Yumi Choi, Andrew Dolphin, Léo Girardi, David W. Hogg, Jason S. Kalirai, Maria Kapala, Alexia R. Lewis, Hans Walter Rix, Karin Sandstrom, Evan D. Skillman

    Research output: Contribution to journalArticlepeer-review

    43 Scopus citations

    Abstract

    We present the Bayesian Extinction And Stellar Tool (BEAST), a probabilistic approach to modeling the dust extinguished photometric spectral energy distribution of an individual star while accounting for observational uncertainties common to large resolved star surveys. Given a set of photometric measurements and an observational uncertainty model, the BEAST infers the physical properties of the stellar source using stellar evolution and atmosphere models and constrains the line of sight extinction using a newly developed mixture model that encompasses the full range of dust extinction curves seen in the Local Group. The BEAST is specifically formulated for use with large multi-band surveys of resolved stellar populations. Our approach accounts for measurement uncertainties and any covariance between them due to stellar crowding (both systematic biases and uncertainties in the bias) and absolute flux calibration, thereby incorporating the full information content of the measurement. We illustrate the accuracy and precision possible with the BEAST using data from the Panchromatic Hubble Andromeda Treasury. While the BEAST has been developed for this survey, it can be easily applied to similar existing and planned resolved star surveys.

    Original languageEnglish (US)
    Article number104
    JournalAstrophysical Journal
    Volume826
    Issue number2
    DOIs
    StatePublished - Aug 1 2016

    Bibliographical note

    Publisher Copyright:
    © 2016. The American Astronomical Society. All rights reserved.

    Keywords

    • Analysis - methods: statistical
    • Dust
    • Galaxies: individual (M31)
    • Methods: data
    • Stars: fundamental parameters
    • extinction

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