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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

Modelling depletion by re-accretion of gas from a dusty disc in post-AGB stars

TL;DR: In this paper, the authors used the MESA code to evolve stars in the post-asymptotic giant branch (post-AGB) phase, while including accretion of metal-poor gas.
Journal ArticleDOI

Spectroscopic Follow-up of Discoveries from the NEOWISE Proper Motion Survey

TL;DR: Schneider et al. as discussed by the authors presented low-resolution near-infrared spectra of discoveries from an all-sky proper motion search conducted using multi-epoch data from the Wide-field Infrared Survey Explorer.
Journal ArticleDOI

The spectroscopic binaries RV Tauri and DF Cygni

TL;DR: In this article, the authors used Gaia DR2 parallaxes in combination with the SEDs to compute their luminosities which were complemented with the ones computed using a period-luminosity-colour relation.
Journal ArticleDOI

The true nature of Swift J0746.3-1608: a possible Intermediate Polar showing accretion state changes

TL;DR: In this article, observations obtained with XMM-Newton, an ESA science mission, with instruments and contributions directly funded by ESA Member States, with Swift, a NASA science mission with Italian participation, and with Gaia, a ESA mission.
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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