/ftp/cats/I/347



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I/347          Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018)
The following files can be converted to FITS (extension .fit or fit.gz)
	gaia2dis.sam
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Query from: http://vizier.cds.unistra.fr/viz-bin/VizieR?-source=I/347
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drwxr-xr-x 317 cats archive 8192 Feb 28 11:16 [Up] drwxr-xr-x 4 cats archive 4096 Jan 8 16:49 [TAR file] -rw-r--r-- 1 cats archive 462 Jan 8 15:50 .message -r--r--r-- 1 cats archive 5116 Feb 18 2021 ReadMe -rw-r--r-- 1 cats archive 1005 Jan 8 15:49 +footg5.gif -rw-r--r-- 1 cats archive 2978 Jan 8 15:49 +footg8.gif -r--r--r-- 1 cats archive 144000 Jun 29 2018 gaia2dis.sam -rw-r--r-- 1 cats archive 164160 Aug 22 2022 tab_1347_1_I_347_gaia2dis.moc.fits
Beginning of ReadMe : I/347 Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018) ================================================================================ Estimating distances from parallaxes. IV. Distances to 1.33 billion stars in Gaia data release 2. Bailer-Jones C.A.L., Rybizki J., Fouesneau M., Mantelet G., Andrae R. <Astron. J. 156, 58 (2018)> =2018AJ....156...58B =2018yCat.1347....0B ================================================================================ ADC_Keywords: Surveys ; Stars, distances Keywords: catalogs - Galaxy: structure - methods: statistical - stars: distances Abstract: For the 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 almost 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 towards, individual stars. We analyze the characteristics of the catalog and validate it using clusters. Description: 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. Each file contains 200000 sources (except the last one) with a single header line. Total size of all files is 114GB.