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I/349 StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)
The following files can be converted to FITS (extension .fit or fit.gz)
starhorse.sam
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Query from: http://vizier.cds.unistra.fr/viz-bin/VizieR?-source=I/349
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-rw-r--r-- 1 cats archive 5146560 Aug 22 2022 tab_1349_1_I_349_starhorse.moc.fits Beginning of ReadMe :I/349 StarHorse, Gaia DR2 photo-astrometric distances (Anders+, 2019)
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Photo-astrometric distances, extinctions, and astrophysical parameters for
Gaia DR2 stars brighter than G = 18.
Anders F., Khalatyan A., Chiappini C., Queiroz A.B., Santiago B.X.,
Jordi C., Girardi L., Brown A.G.A., Matijevic G., Monari G.,
Cantat-Gaudin T., Weiler M., Khan S., Miglio A., Carrillo I.,
Romero-Gomez M., Minchev I., de Jong R.S., Antoja T., Ramos P.,
Steinmetz M., Enke H.
<Astron. Astrophys. 628, A94 (2019)>
=2019A&A...628A..94A (SIMBAD/NED BibCode)
=2020yCat.1349....0A
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ADC_Keywords: Surveys ; Stars, distances ; Extinction
Keywords: stars: fundamental parameters - stars: distances - stars: statistics -
dust - extinction - Galaxy: stellar content - Galaxy: structure
Abstract:
Combining the precise parallaxes and optical photometry delivered by
Gaia's second data release with the photometric catalogues of
Pan-STARRS1, 2MASS, and AllWISE, we derived Bayesian stellar
parameters, distances, and extinctions for 265 million of the 285
million objects brighter than G=18. Because of the wide
wavelength range used, our results substantially improve the accuracy
and precision of previous extinction and effective temperature
estimates. After cleaning our results for both unreliable input and
output data, we retain 137 million stars, for which we achieve a
median precision of 5% in distance, 0.20mag in V-band extinction, and
245K in effective temperature for G<=14, degrading towards
fainter magnitudes (12%, 0.20mag, and 245K at G=16; 16%, 0.23mag, and
260K at G=17, respectively). We find a very good agreement with the
asteroseismic surface gravities and distances of 7000 stars in the
Kepler, K2-C3, and K2-C6 fields, with stellar parameters from the
APOGEE survey, and with distances to star clusters. Our results are
available through the ADQL query interface of the Gaia mirror at the
Leibniz-Institut fuer Astrophysik Potsdam (gaia.aip.de) and as binary
tables at data.aip.de. As a first application, we provide distance-
and extinction-corrected colour-magnitude diagrams, extinction maps as
a function of distance, and extensive density maps. These demonstrate
the potential of our value-added dataset for mapping the
three-dimensional structure of our Galaxy. In particular, we see a
clear manifestation of the Galactic bar in the stellar density
distributions, an observation that can almost be considered direct
imaging of the Galactic bar.
Description:
The catalogue contains derived Bayesian stellar parameters, distances,
and extinctions for 265 million stars form Gaia's second data release
(Cat. I/345) brighter than G=18 with the StarHorse code.
The StarHorse code (Queiroz et al., 2018MNRAS.476.2556Q) is a Bayesian
parameter estimation code that compares a number of observed
quantities (be it photometric magnitudes, spectroscopically derived
stellar parameters, or parallaxes) to stellar evolutionary models.
Here, the Gaia data is complemented by the photometric catalogues of
Pan-STARRS1 (Cat. II/349), 2MASS (Cat. II/246) , and AllWISE (Cat.
II/328).
All files are available at
https://data.aip.de/projects/starhorse2019.html
The SH data is avalaible in three formats: hdf5, fits and csv. The
data are split into 16 chunks for the each format.