4.6 Article

Estimating Distances from Parallaxes. V. Geometric and Photogeometric Distances to 1.47 Billion Stars in Gaia Early Data Release 3

Journal

ASTRONOMICAL JOURNAL
Volume 161, Issue 3, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.3847/1538-3881/abd806

Keywords

Catalogs; Galaxy structure; Bayesian statistics; Parallax; Stellar parallax; Photometric parallax; Distance indicators; Astrometry; Markov chain Monte Carlo; Absolute magnitude

Funding

  1. DLR (German space agency) [50 QG 1403]

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Stellar distances are essential in astrophysics, and the publication of 1.47 billion stellar parallaxes from Gaia significantly contributes to this field. Despite challenges with faint or distant stars, a probabilistic approach using a three-dimensional model of the Galaxy has been developed to estimate geometric and photogeometric distances. Photogeometric estimates generally show higher accuracy and precision compared to geometric distances, especially for stars with poor parallaxes, and are provided in a publicly available catalog.
Stellar distances constitute a foundational pillar of astrophysics. The publication of 1.47 billion stellar parallaxes from Gaia is a major contribution to this. Despite Gaia's precision, the majority of these stars are so distant or faint that their fractional parallax uncertainties are large, thereby precluding a simple inversion of parallax to provide a distance. Here we take a probabilistic approach to estimating stellar distances that uses a prior constructed from a three-dimensional model of our Galaxy. This model includes interstellar extinction and Gaia's variable magnitude limit. We infer two types of distance. The first, geometric, uses the parallax with a direction-dependent prior on distance. The second, photogeometric, additionally uses the color and apparent magnitude of a star, by exploiting the fact that stars of a given color have a restricted range of probable absolute magnitudes (plus extinction). Tests on simulated data and external validations show that the photogeometric estimates generally have higher accuracy and precision for stars with poor parallaxes. We provide a catalog of 1.47 billion geometric and 1.35 billion photogeometric distances together with asymmetric uncertainty measures. Our estimates are quantiles of a posterior probability distribution, so they transform invariably and can therefore also be used directly in the distance modulus (5 log(10) r - 5). The catalog may be downloaded or queried using ADQL at various sites (see http://www.mpia.de/similar to calj/gedr3_distances.html), where it can also be cross-matched with the Gaia catalog.

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