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Open AccessJournal ArticleDOI

Estimating distances from parallaxes IV: Distances to 1.33 billion stars in Gaia Data Release 2

TLDR
In this paper, the authors used a weak distance prior that varies smoothly as a function of Galactic longitude and latitude according to a Galaxy model to infer distances to essentially all 1.33 billion stars with parallaxes published in the second Gaia data release.
Abstract
For the vast 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 essentially 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 analyse the characteristics of the catalogue and validate it using clusters. The catalogue can be queried on the Gaia archive using ADQL at this http URL and downloaded from this http URL .

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Citations
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Journal ArticleDOI

On the radial abundance gradients of nitrogen and oxygen in the inner Galactic disc

TL;DR: In this paper, optical spectra of nine Galactic H II regions observed with the 10.4 m Gran Telescopio Canarias telescope and located at Galactocentric distances (RG) from 4 to 8 kpc.
Journal ArticleDOI

On the Color-Metallicity Relation of the Red Clump and the Reddening Toward the Magellanic Clouds

TL;DR: In this article, the authors used three different methods to calibrate the most commonly used metric to predict LMC extinction, the intrinsic color of the red clump, $(V-I)_{RC,0} ).
Journal ArticleDOI

KIC 5950759: a high-amplitude δ Sct star with amplitude and frequency modulation near the terminal age main sequence

TL;DR: In this article, KIC 5950759 is a metal-poor HADS star near the short-lived contraction phase and the terminal-age main sequence, with its sub-solar metallicity making it a candidate SX Phe star, and it is a unique object amongst the thousands of known δ Sct stars and warrants further study to ascertain why its pulsation modes are evolving remarkably faster than predicted by stellar evolution.
References
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Journal ArticleDOI

Gaia Data Release 2: Observational Hertzsprung-Russell diagrams

C. Babusiaux, +451 more
TL;DR: In this article, the power of the Gaia DR2 in studying many fine structures of the Hertzsprung-Russell diagram (HRD) was highlighted, depending in particular on stellar population selections.
Journal ArticleDOI

Gaia Early Data Release 3: Summary of the contents and survey properties

TL;DR: Gaia DR2 as mentioned in this paper is the second Gaia data release, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude 21.
Journal ArticleDOI

Gaia Data Release 2: Catalogue validation

TL;DR: The second Gaia data release (DR2) contains very precise astrometric and photometric properties for more than one billion sources, astrophysical parameters for dozens of millions, radial velocities for millions, variability information for half a million of stellar sources and orbits for thousands of solar system objects as discussed by the authors.
Journal ArticleDOI

Estimating Distances from Parallaxes

TL;DR: In this paper, the authors investigate the properties and performance of various prior assumptions and examine their implications, and demonstrate that a simple prior which decreases asymptotically to zero at infinite distance has good performance, accommodates nonpositive parallaxes, and does not require a bias correction.
Journal ArticleDOI

Gaia Data Release 2: using Gaia parallaxes

TL;DR: The main recommendation is to always treat the derivation of (astro-)physical parameters from astrometric data, in particular when parallaxes are involved, as an inference problem which should preferably be handled with a full Bayesian approach.
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