BAFFLES: Bayesian Ages for Field Lower-mass Stars
Creators
- 1. Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, CA 94305 (United States)
- 2. Department of Astronomy, 501 Campbell Hall, University of California, Berkeley, CA 94720-3411 (United States)
Description
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 and/or 0.35 ≤ B − V ≤ 1.9 and measured Li EW. We compile colors, , and Li EW from over 2630 nearby field stars from the literature, and present the derived BAFFLES age posterior for each star.
Availability note (English)
Available from http://dx.doi.org/10.3847/1538-4357/ab9a35Additional details
Identifiers
Publishing Information
- Journal Title
- Astrophysical Journal
- Journal Volume
- 898
- Journal Issue
- 1
- Journal Page Range
- [21 p.]
- ISSN
- 0004-637X
- CODEN
- ASJOAB
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52062927
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- BENCHMARKS; CALCIUM; DISTRIBUTION; ELEMENT ABUNDANCE; EMISSION; LITHIUM; MASS; PROBABILITY; STARS
- Descriptors DEC
- ABUNDANCE; ALKALI METALS; ALKALINE EARTH METALS; ELEMENTS; METALS