• DOI:10.3847/1538-3881/aacb21
• Corpus ID: 119289017

Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2

@article{BailerJones2018EstimatingDF,
  title={Estimating Distance from Parallaxes. IV. Distances to 1.33 Billion Stars in Gaia Data Release 2},
  author={Coryn A. L. Bailer-Jones and Jan Rybizki and Morgan Fouesneau and Gregory Mantelet and Ren{\'e} Andrae},
  journal={The Astronomical Journal},
  year={2018},
  volume={156}
}

• C. Bailer-Jones, J. Rybizki, +2 authors R. Andrae
• Published 26 April 2018
• Physics
• The Astronomical Journal

For the vast majority of stars in the second Gaia data release, reliable distances cannot be obtained by inverting the parallax. A correct inference procedure must instead be used to account for the nonlinearity of the transformation and the asymmetry of the resulting probability distribution. Here, we infer distances to essentially all 1.33 billion stars with parallaxes published in the second Gaia data release. This is done using a weak distance prior that varies smoothly as a function of Galactic longitude and latitude according to a Galaxy model. The irreducible uncertainty in the distance estimate is characterized by the lower and upper bounds of an asymmetric confidence interval. Although more precise distances can be estimated for a subset of the stars using additional data (such as photometry), our goal is to provide purely geometric distance estimates, independent of assumptions about the physical properties of, or interstellar extinction toward, individual stars. We analyze the characteristics of the catalog and validate it using clusters. The catalog can be queried using ADQL at http://gaia.ari.uni-heidelberg.de/tap.html (which also hosts the Gaia catalog) and downloaded from http://www.mpia.de/~calj/gdr2_distances.html.