Gaia Data Release 3: All-sky classification of 12.4 million variable sources into 25 classes

Lorenzo Rimoldini*, Berry Holl, Panagiotis Gavras, Marc Audard, Joris De Ridder, Nami Mowlavi, Krzysztof Nienartowicz, Grégory Jevardat De Fombelle, Isabelle Lecoeur-Taïbi, Lea Karbevska, Dafydd W. Evans, Péter Ábrahám, Maria I. Carnerero, Gisella Clementini, Elisa Distefano, Alessia Garofalo, Pedro García-Lario, Roy Gomel, Sergei A. Klioner, Katarzyna KruszyńskaAlessandro C. Lanzafame, Thomas Lebzelter, Gábor Marton, Tsevi Mazeh, Roberto Molinaro, Aviad Panahi, Claudia M. Raiteri, Vincenzo Ripepi, László Szabados, David Teyssier, Michele Trabucchi, Łukasz Wyrzykowski, Shay Zucker, Laurent Eyer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Context. Gaia DR3 contains 1.8 billion sources with G-band photometry, 1.5 billion of which with GBP and GRP photometry, complemented by positions on the sky, parallax, and proper motion. The median number of field-of-view transits in the three photometric bands is between 40 and 44 measurements per source and covers 34 months of data collection. Aims. We pursue a classification of Galactic and extra-galactic objects that are detected as variable by Gaia across the whole sky. Methods. Supervised machine learning (eXtreme Gradient Boosting and Random Forest) was employed to generate multi-class, binary, and meta-classifiers that classified variable objects with photometric time series in the G, GBP, and GRP bands. Results. Classification results comprise 12.4 million sources (selected from a much larger set of potential variable objects) and include about 9 million variable stars classified into 22 variability types in the Milky Way and nearby galaxies such as the Magellanic Clouds and Andromeda, plus thousands of supernova explosions in distant galaxies, 1 million active galactic nuclei, and almost 2.5 million galaxies. The identification of galaxies was made possible by the artificial variability of extended objects as detected by Gaia, so they were published in the galaxy-candidates table of the Gaia DR3 archive, separate from the classifications of genuine variability (in the vari-classifier-result table). The latter contains 24 variability classes or class groups of periodic and non-periodic variables (pulsating, eclipsing, rotating, eruptive, cataclysmic, stochastic, and microlensing), with amplitudes from a few milli-magnitudes to several magnitudes.

Original languageEnglish
Article numberA14
JournalAstronomy and Astrophysics
Volume674
DOIs
StatePublished - 1 Jun 2023

Keywords

  • Catalogs
  • Galaxies: general
  • Methods: data analysis
  • Quasars: general
  • Stars: variables: general

Fingerprint

Dive into the research topics of 'Gaia Data Release 3: All-sky classification of 12.4 million variable sources into 25 classes'. Together they form a unique fingerprint.

Cite this