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Large-amplitude variables in Gaia Data Release 2. Multi-band variability characterization

Authors :
Mowlavi, N.
Rimoldini, L.
Evans, D. W.
Riello, M.
De Angeli, F.
Palaversa, L.
Audard, M.
Eyer, L.
Garcia-Lario, P.
Gavras, P.
Holl, B.
de Fombelle, G. Jevardat
Lecœur-Taïbi, I.
Nienartowicz, K.
Source :
A&A 648, A44 (2021)
Publication Year :
2020

Abstract

The second data release (DR2) of Gaia provides mean photometry in three bands for $\sim$1.4 billion sources, but light curves and variability properties are available for only $\sim$0.5 million of them. Here, we provide a census of large-amplitude variables with amplitudes larger than $\sim$0.2 mag in the $G$ band for objects with mean brightnesses between 5.5 and 19 mag. To achieve this, we rely on variability amplitude proxies in $G$, $G_{BP}$ and $G_{RP}$ computed from the uncertainties on the magnitudes published in DR2. We then apply successive filters to identify two subsets containing respectively sources with reliable mean $G_{BP}$ and $G_{RP}$ (for studies using colours) and sources having compatible amplitude proxies in $G$, $G_{BP}$ and $G_{RP}$ (for multi-band variability studies). The full catalogue gathers $23\,315\,874$ large-amplitude variable candidates, and the two subsets with increased levels of purity contain respectively $1\,148\,861$ and $618\,966$ sources. A multi-band variability analysis of the catalogue shows that different types of variable stars can be globally categorized in four groups according to their colour and blue-to-red amplitude ratios as determined from the $G$, $G_{BP}$ and $G_{RP}$ amplitude proxies. The catalogue constitutes the first census of Gaia large-amplitude variable candidates, extracted from the public DR2 archive. The overview presented here illustrates the added-value of the mission for multi-band variability studies even at this stage when epoch photometry is not yet available for all sources. (Abridged abstract)<br />Comment: Final version, A&A, in press. Main text: 20 pages, 26 figures. Four appendixes

Details

Database :
arXiv
Journal :
A&A 648, A44 (2021)
Publication Type :
Report
Accession number :
edsarx.2009.07746
Document Type :
Working Paper
Full Text :
https://doi.org/10.1051/0004-6361/202039450