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Start Over Subject milky-way-galaxy Resource Type Catalog Result Type application/x-votable+xml
1. Estimated distances to 1.33 billion stars in Gaia DR2
ID:
ivo://org.gavo.dc/gdr2dist/q/cone
Title:
Estimated distances to 1.33 billion stars in Gaia DR2
Short Name:
gdr2dist scs
Date:
04 Apr 2022 15:48:41
Publisher:
The GAVO DC team
Description:
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
2. Gaia DR3 Lite Distances Subset Cone Search
ID:
ivo://org.gavo.dc/gedr3dist/q/cone
Title:
Gaia DR3 Lite Distances Subset Cone Search
Short Name:
DR3 lite+dist
Date:
29 Aug 2022 10:46:03
Publisher:
The GAVO DC team
Description:
This service returns the most important Gaia DR3 gaia_source columns together with robust geometric and photogeometric distances for the ~1.47 billion objects in Bailer-Jones et al's distance catalogue.
3. Parameters of 220 million stars from Gaia BP/RP (XP) spectra
ID:
ivo://org.gavo.dc/xpparams/q/cone
Title:
Parameters of 220 million stars from Gaia BP/RP (XP) spectra
Short Name:
XP ap-pars
Date:
19 Jun 2023 07:31:09
Publisher:
The GAVO DC team
Description:
We present astrophysical parameters of 220 million stars, based on Gaia XP spectra and near-infrared photometry from 2MASS and WISE. Instead of using ab initio stellar models, we develop a data-driven model of Gaia XP spectra as a function of the stellar parameters, with a few straightforward built-in physical assumptions. This resource is a VO re-publication of the resulting catalog of stellar parameters. For bulk downloads, the covariances, the trained model, and more, see https://zenodo.org/record/7811871.