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

Gaia Collaboration L. Eyer 1, * L. Rimoldini M. Audard 2 R. Anderson K. Nienartowicz F. Glass O. Marchal 3 M. Grenon 4 N. Mowlavi B. Holl G. Clementini 5 C. Aerts T. Mazeh 6 D. Evans L. Szabados 7 A Brown A. Vallenari 8 T. Prusti 9 J. de Bruijne 10 C. Babusiaux 3, 11 M. Biermann F. Jansen 12 C. Jordi 13 S Klioner U. Lammers L. Lindegren 14 X. Luri 15 F. Mignard 16 C. Panem 17 D. Pourbaix 18 S. Randich P. Sartoretti 3 H. Siddiqui C. Soubiran F. van Leeuwen N. Walton Frédéric Arenou 3 U. Bastian 19 M. Cropper 20 R. Drimmel D. Katz 3 M. Lattanzi J. Bakker C. Cacciari C. Barache 21 C. Barata D. Barbato F. Barblan P. Barklem 22 D. Barrado 23 M. Barros M. Barstow 24 S. Bartholomé Muñoz J.-L Bassilana U. Becciani M. Bellazzini A. Berihuete S. Bertone L. Bianchi O. Bienaymé 25 S. Blanco-Cuaresma T. Boch C. Boeche A. Bombrun R. Borrachero 15 D. Bossini S. Bouquillon 21 G. Bourda 26 A. Bragaglia 27 L. Bramante M. Breddels 28 A. Bressan 8 N. Brouillet 29 T. Brüsemeister E. Brugaletta B. Bucciarelli A. Burlacu D. Busonero A Butkevich R. Buzzi E. Caffau 3 R. Cancelliere G. Cannizzaro T. Cantat-Gaudin 13 R. Carballo T. Carlucci 30 J Carrasco L. Casamiquela M. Castellani A. Castro-Ginard 13 P. Charlot 26 L. Chemin A. Chiavassa 16 G. Cocozza G. Costigan 31 S. Cowell F. Crifo 3 M. Crosta C. Crowley J. Cuypers 32 C. Dafonte Y. Damerdji 33 A. Dapergolas P. David M. David P. de Laverny 16 F. de Luise 34 R. de March D. de Martino R. de Souza A. de Torres J. Debosscher 35 E. del Pozo M. Delbo 16 A. Delgado H. Delgado S. Diakité C. Diener E. Distefano C. Dolding P. Drazinos J. Durán H. Enke K. Eriksson 36 P. Esquej G Bontemps C. Fabre 37 M. Fabrizio S. Faigler A. Falcão M Casas L. Federici G. Fedorets P. Fernique 25 F. Figueras F. Filippi K. Findeisen 3 A. Fonti E. Fraile M. Fraser 38 B. Frézouls M. Gai S. Galleti D. Garabato F. García-Sedano A. Garofalo D. Hobbs W. Hofmann G Holland H. Huckle A. Hypki V. Icardi K. Janßen G. Jevardat de Fombelle P. Jonker 39 C. Ordenovic 16 D. Ordóñez-Blanco P. Osborne C. Pagani I. Pagano F. Pailler H. Palacin L. Palaversa A. Panahi A. Steele 40 H. Steidelmüller C. Stephenson H. Stoev F. Suess J. Surdej 41 E. Szegedi-Elek D. Tapiador F. Taris G. Tauran M. Taylor R. Teixeira 42 D. Terrett P. Teyssandier 21 W. Thuillot 43 A. Titarenko F Torra Clotet C. Turon 3 A. Ulla E. Utrilla S. Uzzi M. Vaillant G. Valentini 44 V. Valette A. van Elteren E Hemelryck M. van Leeuwen M. Vaschetto A. Vecchiato 45 J. Veljanoski 28 Y. Viala 3 D. Vicente 46 S. Vogt C. von Essen H. Voss C. A. L. Bailer-Jones A. Klioner J. Castañeda L. Chaoul N. Cheek F. de Angeli 47 C. Fabricius R. Guerra E. Masana 48 R. Messineo P. Panuzzo 3 J. Portell M. Riello M. Seabroke P. Tanga 16 F. Thévenin 16 G. Gracia-Abril G. Comoretto M. Garcia-Reinaldos D. Teyssier 49 M. Altmann 19 R. Andrae I. Bellas-Velidis K. Benson 50 J. Berthier 51 R. Blomme 32 P. Burgess G. Busso 47 B. Carry 16, 52 A. Cellino 53 M. Clotet O. Creevey 16 M. Davidson 54 J. de Ridder 55 L. Delchambre A. Dell’oro C. Ducourant 26 J. Fernández-Hernández M. Fouesneau Y. Frémat 32 L. Galluccio 16 M. García-Torres J. González-Núñez J. González-Vidal E. Gosset L. Guy L. Halbwachs N. Hambly L. Harrison J. Hernández D. Hestroffer 43 T. Hodgkin A. Hutton Gérard Jasniewicz 56 A. Jean-Antoine-Piccolo S. Jordan 57 A. Korn 36 A. Krone-Martins 58 C. Lanzafame T. Lebzelter W. Löffler M. Manteiga M. Marrese M. Martín-Fleitas A. Moitinho 59 A. Mora K. Muinonen 60 J. Osinde E. Pancino 27 T. Pauwels 32 Petit J.M. A. Recio-Blanco 16 J. Richards A. C. Robin L. Sarro C. Siopis M. Smith A. Sozzetti 53 M. Süveges J. Torra W. van Reeven U. Abbas A. Abreu Aramburu S. Accart G. Altavilla M. Alvarez R. Alvarez J. Alves A. Andrei E. Anglada Varela E. Antiche 15 T. Antoja B. Arcay L. Astraatmadja N. Bach G. Baker L. Balaguer-Núñez 61 P. Balm S. Barklem L. Bassilana G. Butkevich M. Carrasco B. Edvardsson 62 G. Eynard Bontemps M. Farràs Casas N. Garralda A. Gavel P. Gavras J. Gerssen R. Geyer * P. Giacobbe G. Gilmore S. Girona G. Giuffrida M. Gomes M. Granvik A. Gueguen 63 A. Guerrier 17 J. Guiraud R. Gutiérrez-Sánchez R. Haigron 3 D. Hatzidimitriou 64 M. Hauser M. Haywood 3 U. Heiter 62 A. Helmi J. Heu 3 T. Hilger G. Holl G. Jonker L. Juhasz 65 F. Julbe 13 A. Karampelas A. Kewley J. Klar A. Kochoska R. Kohley 49 K. Kolenberg M. Kontizas E. Kontizas S. Koposov G. Kordopatis 16 Z. Kostrzewa-Rutkowska P. Koubsky S. Lambert F. Lanza Y. Lasne 66 B. Lavigne 67 Y. Le Fustec C. Le Poncin-Lafitte 21 Y. Lebreton 3, 68 S. Leccia 69 N. Leclerc 70 I. Lecoeur-Taibi H. Lenhardt F. Leroux S. Liao E. Licata P. Lindstrøm T. Lister E. Livanou A. Lobel 32 M. López D. Lorenz S. Managau R. Mann G. Mantelet 71 M. Marchant M. Marconi S. Marinoni G. Marschalkó D. Marshall M. Martino G. Marton 72 N. Mary D. Massari G. Matijevič J. Mcmillan S. Messina D. Michalik R. Millar D. Molina R. Molina 73 L. Molnar 74 P. Montegriffo R. Mor 75 T. Mor S. Mor D. Mor F. Mulone T. Muraveva I. Musella G. Nelemans L. Nicastro L. Noval W. O’mullane M. Pawlak M. Piersimoni F. Pineau E. Plachy G. Plum 3 E. Poggio E. Poujoulet A. Prša L. Pulone E. Racero S. Ragaini N. Rambaux 43 M. Ramos-Lerate S. Regibo C. Reylé F. Riclet V. Ripepi 69 A. Riva G. Rixon 47 T. Roegiers M. Roelens M. Romero-Gomez 76 N. Rowell F. Royer 3 L. Ruiz-Dern 17 G. Sadowski T. Sagristà Sellés J. Sahlmann J. Salgado E. Salguero N. Sanna T. Santana-Ros 77 M. Sarasso H. Savietto M. Schultheis 16 E. Sciacca M. Segol C. Segovia D. Segransan 4 C. Shih L. Siltala F. Silva L. Smart K. Smith E. Solano 23 F. Solitro R. Sordo 8 S. Soria Nieto J. Souchay 21 A. Spagna F. Spoto U. Stampa F. Clotet E. van Hemelryck V. Votruba S. Voutsinas G. Walmsley M. Weiler 78 O. Wertz T. Wevers 79 Ł. Wyrzykowski A. Yoldas 47 M. Žerjal H. Ziaeepour 67 J. Zorec 80 S. Zschocke 81 S. Zucker C. Zurbach 56 T. Zwitter 82
* Corresponding author
26 M2A 2019
LAB - Laboratoire d'Astrophysique de Bordeaux [Pessac]
29 FORMATION STELLAIRE 2019
LAB - Laboratoire d'Astrophysique de Bordeaux [Pessac]
45 Astrometry
OATo - INAF - Osservatorio Astrofisico di Torino
Abstract : Context. The ESA Gaia mission provides a unique time-domain survey for more than 1.6 billion sources with G 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.
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Gaia Collaboration, L. Eyer, L. Rimoldini, M. Audard, R. Anderson, et al.. Gaia Data Release 2. Variable stars in the colour-absolute magnitude diagram. Astronomy and Astrophysics - A&A, EDP Sciences, 2019, 623, pp.A110. ⟨10.1051/0004-6361/201833304⟩. ⟨hal-02071443⟩

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