BAFFLES: Bayesian Ages for Field Lower-mass Stars

S. Adam Stanford-Moore, Eric L. Nielsen, Robert J. De Rosa, Bruce Macintosh, Ian Czekala

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


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()) 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 ≤ B - V ≤ 0.9 and a measurement of R′HK and/or 0.35 ≤ B - V ≤ 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.

Original languageEnglish (US)
Article number27
JournalAstrophysical Journal
Issue number1
StatePublished - Jul 20 2020

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science


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