2018-08-28T12:21:37Z 1000 Estimated distances to 1.33 billion stars in Gaia DR2 This catalogue provides distances estimates (and uncertainties therein) for 1.33 billion stars over the whole sky brighter than about G=20.7. These have been estimated using the parallaxes (and their uncertainties) from Gaia DR2. A Bayesian procedure was used involving a prior with a single parameter L(l,b), which varies smoothly with Galactic longitude and latitude according to a Galaxy model. The posterior is summarized with a point estimate (usually the mode) and a confidence interval (usually the 68% highest density interval). The estimation procedure is described in detail in the `accompanying paper`_, which also analyses the catalogue content. .. _accompanying paper: http://www.mpia.de/homes/calj/gdr2_distances.html milky-way-galaxy stellar-distance surveys stars Bailer-Jones, C.A.L.; Rybizki, J.; Fouesneau, M.; Mantelet, G.; Andrae, R. Gaia 2018AJ....156...58B Research Catalog source_id result_flag has three possible values: :0: failed estimate (r_est, r_lo, r_hi are all NaN) :1: _est is the mode (highest if the posterior is bimodal); r_lo/r_hi define the lower/upper limits of the highest density interval (HDI) containing 68% of the posterior probability :2: r_est is the median; r_lo/r_hi define the lower/upper limits of the equal-tailed interval (ETI), containing 68% of the posterior probability." 99.9% of the rows have result_code=1. 0/0-11 CREATE VIEW \curtable AS (SELECT \colNames FROM \schema.main JOIN gaia.dr2light USING (source_id)) gdr2dist scs 314.128371381898 7.33858542846851 0.0001 cone/scs.xml self.assertHasStrings( "a 25-bit plus 7 bit sequence", "Lower bound on the 1 σ") row = self.getFirstVOTableRow() self.assertAlmostEqual(row["r_est"], 1261.07604980) self.assertEqual(row["source_id"], '1737527443345452544')