Gaia Data Release 3: The first Gaia catalogue of variable AGN
Maria I. Carnerero, Claudia M. Raiteri, Lorenzo Rimoldini, Deborah, Busonero, Enrico Licata, Nami Mowlavi, Isabelle Lecoeur-Ta\"ibi, Marc Audard,, Berry Holl, Panagiotis Gavras, Krzysztof Nienartowicz, Gr\'egory Jevardat de, Fombelle, Ruth Carballo, Gisella Clementini

TL;DR
This paper presents Gaia-DR3's first catalogue of about 872,000 variable AGN identified solely from Gaia data, including new detections, with high purity and multiwavelength analysis, advancing the understanding of AGN variability.
Contribution
The work introduces a Gaia-only selection method for a large, high-purity sample of variable AGN, including new identifications and analysis of their properties.
Findings
GLEAN contains ~872,000 variable AGN, with over 21,000 new identifications.
Purity of the sample is estimated above 95%.
Approximately 4% of the sources are radio-loud.
Abstract
One of the novelties of the Gaia-DR3 with respect to the previous data releases is the publication of the multiband light curves of about 1 million AGN. The goal of this work was the creation of a catalogue of variable AGN, whose selection was based on Gaia data only. We first present the implementation of the methods to estimate the variability parameters into a specific object study module for AGN. Then we describe the selection procedure that led to the definition of the high-purity variable AGN sample and analyse the properties of the selected sources. We started from a sample of millions of sources, which were identified as AGN candidates by 11 different classifiers based on variability processing. Because the focus was on the variability properties, we first defined some pre-requisites in terms of number of data points and mandatory variability parameters. Then a series of filters…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
