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The Astronomical Journal· 2021Q1

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

C. A. L. Bailer-Jones, J. Rybizki, M. Fouesneau, M. Demleitner et al.

Short summary

A probabilistic method using a 3D galactic model estimates distances for 1.47 billion stars from Gaia data, improving accuracy for distant or faint stars compared to simple parallax inversion.

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Key points

  • Developed a probabilistic method to estimate stellar distances using a 3D galactic model, interstellar extinction, and Gaia's magnitude limits.
  • Provides two distance estimates: geometric (parallax + directional prior) and photogeometric (geometric + color/magnitude).
  • Photogeometric estimates show higher accuracy and precision for stars with poor parallax measurements.
  • Catalog includes 1.47 billion geometric and 1.35 billion photogeometric distances with asymmetric uncertainty measures.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract 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 ( ). The catalog may be downloaded or queried using ADQL at various sites (see http://www.mpia.de/~calj/gedr3_distances.html ), where it can also be cross-matched with the Gaia catalog.

The authors' abstract, as published at the source. The Astronomical Journal, 2021 · DOI ↗

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Field: Astronomy and Astrophysics

Astronomy and AstrophysicsPhysics and Astronomy