Deriving the Ages of the Oldest White Dwarfs: A Bayesian Analysis

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Scientific paper

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Scientific paper

We present a Bayesian analysis of 130 SDSS cool white dwarfs with optical and infrared photometry, a subset of which also has trigonometric parallax measurements. Instead of a step-wise progression of fitting a temperature, mass, and age for each star (as is done in previous studies), we employ a Bayesian analysis to simultaneously and self-consistently fit model atmospheres, white dwarf evolutionary models, initial-final mass relation, and precursor main-sequence ages to derive posterior age distributions. We fully incorporate the non-Gaussian nature of stellar evolution in this analysis. The goal of our study is to mine the age information available in these and other cool white dwarfs in order to better understand the details of how the different models affect age determinations of white dwarfs.

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