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')