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Related papers: The Variable Sources in the Gaia archive

200 papers

We construct from Gaia eDR3 an extensive catalog of spatially resolved binary stars within $\approx$ 1 kpc of the Sun, with projected separations ranging from a few au to 1 pc. We estimate the probability that each pair is a chance…

Solar and Stellar Astrophysics · Physics 2021-02-17 Kareem El-Badry , Hans-Walter Rix , Tyler M. Heintz

We risk reaching false scientific conclusions if we test our physical theories against subsets of the Gaia catalogue without correcting for the biased process by which stars make it into our sample. In this paper we produce selection…

Astrophysics of Galaxies · Physics 2021-11-24 Andrew Everall , Douglas Boubert

The European Space Agency mission Gaia has published with its second data release (DR2) a catalogue of photometric measurements for more than 1.3 billion astronomical objects in three passbands. The precision of the measurements in these…

Instrumentation and Methods for Astrophysics · Physics 2018-10-17 Michael Weiler

We present the first Gaia catalogue of eclipsing binary candidates released in Gaia DR3, describe its content, provide tips for its usage, estimate its quality, and show illustrative samples. The catalogue contains 2,184,477 sources with G…

We present a catalogue of 362 million stellar parameters, distances, and extinctions derived from Gaia's early third data release (EDR3) cross-matched with the photometric catalogues of Pan-STARRS1, SkyMapper, 2MASS, and AllWISE. The higher…

Astrometric discovery of sub-stellar mass companions orbiting stars is exceedingly hard due to the required sub-milliarcsecond precision, limiting the application of this technique to only a few instruments on a target-per-target basis as…

Earth and Planetary Astrophysics · Physics 2023-06-21 B. Holl , A. Sozzetti , J. Sahlmann , P. Giacobbe , D. Ségransan , N. Unger , J. B. Delisle , D. Barbato , M. G. Lattanzi , R. Morbidelli , D. Sosnowska

In an earlier work, we demonstrated the effectiveness of Bayesian neural networks in estimating the missing line-of-sight velocities of Gaia stars, and published an accompanying catalogue of blind predictions for the line-of-sight…

Astrophysics of Galaxies · Physics 2023-12-13 Aneesh P. Naik , Axel Widmark

Gaia is a European Space Agency (ESA) astrometry space mission, and a successor to the ESA Hipparcos mission. Gaia's main goal is to collect high-precision astrometric data (i.e. positions, parallaxes, and proper motions) for the brightest…

Instrumentation and Methods for Astrophysics · Physics 2015-06-03 Lukasz Wyrzykowski , Simon Hodgkin

Context: Gaia DR3 time series data may contain spurious signals related to the time-dependent scan angle. Aims: We aim to explain the origin of scan-angle dependent signals and how they can lead to spurious periods, provide statistics to…

Gaia is a satellite mission of the European Space Agency which is creating a catalogue of extremely accurate positions, distances and space motions of two billion stars in our Galaxy, along with more than one hundred thousand solar system…

Instrumentation and Methods for Astrophysics · Physics 2025-09-16 Michael Perryman

Symbiotic stars, binary pairs with a cool giant fueling accretion onto a hot compact companion, offer unique insights to our understanding of stellar evolution. Yet, only a few hundred symbiotic stars are confirmed. Here, we report on a new…

Solar and Stellar Astrophysics · Physics 2025-08-27 Samantha E. Ball , Benjamin C. Bromley , Scott J. Kenyon

The second data release of the Gaia mission includes an advance catalog of variable stars. The classification of these stars are based on sparse photometry from the first 22 months of the mission. We set out to investigate the purity and…

Solar and Stellar Astrophysics · Physics 2018-12-12 László Molnár , Emese Plachy , Áron L. Juhász , Lorenzo Rimoldini

Gaia DR3 provides radial velocities for 33 million stars and spectroscopically derived atmospheric parameters for more than five million targets. When combined with the astrometric data, these allow us to derive orbital and stellar…

The potential of the Sloan Digital Sky Survey for wide-field variability studies is illustrated using multi-epoch observations for 3,000,000 point sources observed in 700 deg2 of sky, with time spans ranging from 3 hours to 3 years. These…

Selection of extragalactic point sources, e.g. QSOs, is often hampered by significant selection effects causing existing samples to have rather complex selection functions. We explore whether a purely astrometric selection of extragalactic…

High Energy Astrophysical Phenomena · Physics 2015-06-19 Kasper E. Heintz , Johan P. U. Fynbo , Erik Høg

Context.The Gaia Early Data Release 3 contained the positions, parallaxes and proper motions of 1.5 billion sources, among which some did not fit well the "single star" model. Binarity is one of the causes of this. Aims. Four million of…

The second release of Gaia data (Gaia DR2) contains the astrometric parameters for more than half a million quasars. This set defines a kinematically non-rotating reference frame in the optical domain referred to as the Gaia-CRF2. The…

Astrophysics of Galaxies · Physics 2019-11-06 F. Mignard , S. Klioner , L. Lindegren , J. Hernandez , U. Bastian , A. Bombrun

The third release of the Gaia catalogue contains the radial velocities for 33,812,183 stars having effective temperatures ranging from 3100 K to 14,500 K. The measurements are based on the comparison of the observed RVS spectrum (wavelength…

Analysing stellar parameters and abundances from nearly one million Gaia Data Release 3 (DR3) Radial Velocity Spectrometer (RVS) spectra poses challenges due to the limited spectral coverage (restricted to the infrared Ca II triplet) and…

Gravitational waves (GWs) cause the apparent position of distant stars to oscillate with a characteristic pattern on the sky. Astrometric measurements (e.g. those made by Gaia) therefore provide a new way to search for GWs. The main…

Instrumentation and Methods for Astrophysics · Physics 2019-07-08 Christopher J. Moore , Deyan P. Mihaylov , Anthony Lasenby , Gerard Gilmore
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