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BAFFLES: Bayesian Ages for Field Lower-mass Stars

Authors :
Robert J. De Rosa
Ian Czekala
Bruce Macintosh
S. Adam Stanford-Moore
Eric L. Nielsen
Source :
The Astrophysical Journal. 898:27
Publication Year :
2020
Publisher :
American Astronomical Society, 2020.

Abstract

Age is a fundamental parameter of stars, yet in many cases ages of individual stars are presented without robust estimates of the uncertainty. We have developed a Bayesian framework, BAFFLES, to produce the age posterior for a star from its calcium emission strength (log($R'_{HK}$)) or lithium abundance (Li EW) and $B-V$ color. We empirically determine the likelihood functions for calcium and lithium as functions of age from literature measurements of stars in benchmark clusters with well-determined ages. We use a uniform prior on age which reflects a uniform star formation rate. The age posteriors we derive for several test cases are consistent with literature ages found from other methods. BAFFLES represents a robust method to determine the age posterior probability distribution for any field star with $0.45 \leq B-V \leq 0.9$ and a measurement of $R'_{HK}$ and/or $0.35 \leq B-V \leq 1.9$ and measured Li EW. We compile colors, $R'_{HK}$, and Li EW from over 2630 nearby field stars from the literature and present the derived BAFFLES age posterior for each star.<br />Accepted to ApJ, 80 pages, 14 figures, 3 tables

Details

ISSN :
15384357
Volume :
898
Database :
OpenAIRE
Journal :
The Astrophysical Journal
Accession number :
edsair.doi.dedup.....e0cfa3089bcad186d68aaffc5fb62e5d
Full Text :
https://doi.org/10.3847/1538-4357/ab9a35