Gaia Data Release 2 Variable stars in the colour-absolute magnitude diagram

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dc.contributor.author Gaia Collaboration
dc.contributor.author Eyer, L.
dc.contributor.author Muinonen, K.
dc.contributor.author Fedorets, G.
dc.contributor.author Granvik, M.
dc.contributor.author Siltala, L.
dc.date.accessioned 2019-12-16T14:39:01Z
dc.date.available 2019-12-16T14:39:01Z
dc.date.issued 2019-03-13
dc.identifier.citation Gaia Collaboration , Eyer , L , Muinonen , K , Fedorets , G , Granvik , M & Siltala , L 2019 , ' Gaia Data Release 2 Variable stars in the colour-absolute magnitude diagram ' , Astronomy & Astrophysics , vol. 623 , A110 . https://doi.org/10.1051/0004-6361/201833304
dc.identifier.other PURE: 123593647
dc.identifier.other PURE UUID: 510855a2-5d76-42e5-aa34-7dcc18f0c25c
dc.identifier.other WOS: 000461008700002
dc.identifier.other ORCID: /0000-0001-8058-2642/work/55882964
dc.identifier.other ORCID: /0000-0002-5624-1888/work/55883450
dc.identifier.other ORCID: /0000-0002-8418-4809/work/55884926
dc.identifier.other ORCID: /0000-0002-6938-794X/work/55884929
dc.identifier.other Scopus: 85058841219
dc.identifier.uri http://hdl.handle.net/10138/308409
dc.description.abstract Context. The ESA Gaia mission provides a unique time-domain survey for more than 1.6 billion sources with G less than or similar to 21 mag. Aims. We showcase stellar variability in the Galactic colour-absolute magnitude diagram (CaMD). We focus on pulsating, eruptive, and cataclysmic variables, as well as on stars that exhibit variability that is due to rotation and eclipses. Methods. We describe the locations of variable star classes, variable object fractions, and typical variability amplitudes throughout the CaMD and show how variability-related changes in colour and brightness induce "motions". To do this, we use 22 months of calibrated photometric, spectro-photometric, and astrometric Gaia data of stars with a significant parallax. To ensure that a large variety of variable star classes populate the CaMD, we crossmatched Gaia sources with known variable stars. We also used the statistics and variability detection modules of the Gaia variability pipeline. Corrections for interstellar extinction are not implemented in this article. Results. Gaia enables the first investigation of Galactic variable star populations in the CaMD on a similar, if not larger, scale as was previously done in the Magellanic Clouds. Although the observed colours are not corrected for reddening, distinct regions are visible in which variable stars occur. We determine variable star fractions to within the current detection thresholds of Gaia. Finally, we report the most complete description of variability-induced motion within the CaMD to date. Conclusions. Gaia enables novel insights into variability phenomena for an unprecedented number of stars, which will benefit the understanding of stellar astrophysics. The CaMD of Galactic variable stars provides crucial information on physical origins of variability in a way that has previously only been accessible for Galactic star clusters or external galaxies. Future Gaia data releases will enable significant improvements over this preview by providing longer time series, more accurate astrometry, and additional data types (time series BP and RP spectra, RVS spectra, and radial velocities), all for much larger samples of stars. en
dc.format.extent 20
dc.language.iso eng
dc.relation.ispartof Astronomy & Astrophysics
dc.rights unspecified
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject stars: general
dc.subject stars: variables: general
dc.subject stars: oscillations
dc.subject binaries: eclipsing
dc.subject surveys
dc.subject methods: data analysis
dc.subject CEPHEID PULSATION MODELS
dc.subject RR LYRAE STARS
dc.subject VARIABILITY
dc.subject CATALOG
dc.subject ASTEROSEISMOLOGY
dc.subject SEARCH
dc.subject 115 Astronomy, Space science
dc.title Gaia Data Release 2 Variable stars in the colour-absolute magnitude diagram en
dc.type Article
dc.contributor.organization Department of Physics
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1051/0004-6361/201833304
dc.relation.issn 1432-0746
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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