Gaia Data Release 3 Apsis. II. Stellar parameters

被引：68

作者：

Fouesneau, M. ^{[1
]}

Fremat, Y. ^{[2
]}

Andrae, R. ^{[1
]}

Korn, A. J. ^{[3
]}

Soubiran, C. ^{[4
]}

Kordopatis, G. ^{[5
]}

Vallenari, A. ^{[6
]}

Heiter, U. ^{[3
]}

Creevey, O. L. ^{[5
]}

Sarro, L. M. ^{[7
]}

de laverny, P. ^{[5
]}

Lanzafame, A. C. ^{[8
,9
]}

Lobel, A. ^{[2
]}

Sordo, R. ^{[6
]}

Rybizki, J. ^{[1
]}

Slezak, I. ^{[5
]}

Alvarez, M. A. ^{[10
]}

Drimmel, R. ^{[11
]}

Garabato, D. ^{[10
]}

Delchambre, L. ^{[12
]}

Bailer-Jones, C. A. L. ^{[1
]}

Hatzidimitriou, D. ^{[13
,14
]}

Lorca, A. ^{[15
]}

Le Fustec, Y. ^{[16
]}

Pailler, F. ^{[17
]}

Mary, N. ^{[18
,19
]}

Robin, C. ^{[18
,19
]}

Utrilla, E. ^{[15
]}

Aramburu, A. Abreu ^{[20
]}

Bakker, J.

Bellas-Velidis, I. ^{[14
]}

Bijaoui, A. ^{[5
]}

Blomme, R. ^{[2
]}

Bouret, J. -C. ^{[21
]}

Brouillet, N. ^{[4
]}

Brugaletta, E. ^{[8
]}

Burlacu, A. ^{[16
]}

Carballo, R. ^{[22
]}

Casamiquela, L. ^{[4
,23
]}

Chaoul, L. ^{[17
]}

Chiavassa, A. ^{[5
]}

Contursi, G. ^{[5
]}

Cooper, W. J. ^{[11
,24
]}

Dafonte, C. ^{[10
]}

Demouchy, C. ^{[25
]}

Dharmawardena, T. E. ^{[1
]}

Garcia-Lario, P.

Garcia-Torres, M. ^{[26
]}

Gomez, A. ^{[10
]}

Gonzalez-Santamaria, I. ^{[10
]}

机构：

[1] Max Planck Inst Astron, Konigstuhl 17, D-69117 Heidelberg, Germany

[2] Royal Observ Belgium, Ringlaan 3, B-1180 Brussels, Belgium

[3] Uppsala Univ, Div Astron & Space Phys, Dept Phys & Astron, Observat Astrophys, Box 516, S-75120 Uppsala, Sweden

[4] Univ Bordeaux, CNRS, Lab Astrophys Bordeaux, B18N,Allee Geoffroy St Hilaire, F-33615 Pessac, France

[5] Univ Cote Azur, CNRS, Lab Lagrange, Observ Cote Azur, Bd Observ,CS 34229, F-06304 Nice 4, France

[6] INAF Osservatorio Astron Padova, Vicolo Osservatorio 5, I-35122 Padua, Italy

[7] UNED, Dept Inteligencia Artificial, C Juan Rosal 16, Madrid 28040, Spain

[8] INAF Osservatorio Astrofis Catania, Via S Sofia 78, I-95123 Catania, Italy

[9] Univ Catania, Dipartimento Fis & Astron Ettore Majorana, Via S Sofia 64, I-95123 Catania, Italy

[10] Univ A Coruna, Dept Comp Sci & Informat Technol, CIGUS CITIC, Campus Elvina S-N, La Coruna 15071, Spain

[11] INAF Osservatorio Astrofis Torino, Via Osservatorio 20, I-10025 Pino Torinese, TO, Italy

[12] Univ Liege, Inst Astrophys & Geophys, 19C Allee 6 Aout, B-4000 Liege, Belgium

[13] Natl & Kapodistrian Univ Athens, Dept Astrophys Astron & Mech, Athens 15783, Greece

[14] Natl Observ Athens, 1 Metaxa & Vas Pavlou, Athens 15236, Greece

[15] Aurora Technol European Space Agcy ESA, Camino Bajo Castillo,S-N, Madrid 28692, Spain

[16] Telespazio CNES Ctr Spatial Toulouse, 18 Ave Edouard Belin, F-31401 Toulouse 9, France

[17] CNES Ctr Spatial Toulouse, 18 Ave Edouard Belin, F-31401 Toulouse 9, France

[18] Thales Serv CNES Ctr Spatial Toulouse, 18 Ave Edouard Belin, F-31401 Toulouse 9, France

[19] European Space Agcy ESA, European Space Astron Ctr ESAC, Camino Bajo Castillo,S-N, Madrid 28692, Spain

[20] ATG Europe European Space Agcy ESA, Camino Bajo Castillo,S-N, Madrid 28692, Spain

[21] Aix Marseille Univ, CNRS, CNES, LAM, Marseille, France

[22] Univ Cantabria, Dept Matemat Aplicada & Ciencias Computac, ETS Ingenieros Caminos Canales & Puertos, Santander 39005, Spain

[23] Univ PSL, CNRS, GEPI, Observ Paris, 5 Pl Jules Janssen, F-92190 Meudon, France

[24] Univ Hertfordshire, Ctr Astrophys Res, Coll Lane, Hatfield AL10 9AB, Herts, England

[25] APAVE SUDEUROPE SAS CNES Ctr Spatial Toulouse, 18 Ave Edouard Belin, F-31401 Toulouse 9, France

[26] Pablo de Olavide Univ, Data Sci & Big Data Lab, Seville 41013, Spain

[27] Univ Paris, Univ PSL, Sorbonne Univ, CNRS,LESIA,Observ Paris, 5 Pl Jules Janssen, F-92190 Meudon, France

[28] Univ Rennes, CNRS, IPR Inst Phys Rennes, UMR 6251, F-35000 Rennes, France

[29] Univ Copenhagen, Niels Bohr Inst, Juliane Maries Vej 30, DK-2100 Copenhagen O, Denmark

[30] DXC Technol, Retortvej 8, DK-2500 Valby, Denmark

[31] Univ A Coruna, Dept Naut Sci & Marine Engn, CIGUS CITIC, Paseo Ronda 51, La Coruna 15071, Spain

[32] CALTECH, IPAC, Mail Code 100-22,1200 E Calif Blvd, Pasadena, CA 91125 USA

[33] European Org Astron Res Southern Hemisphere, Alonso Cordova 3107, Santiago 19001, Chile

[34] Univ Toulouse, CNRS, IRAP, UPS,CNES, 9 Ave Colonel Roche,BP 44346, F-31028 Toulouse 4, France

[35] Univ Geneva, Inst Global Hlth, 24 Rue General Dufour, CH-12114 Geneva 4, Switzerland

[36] Univ Vigo, Dept Appl Phys, Vigo 36310, Spain

[37] Sorbonne Univ, Inst Astrophys Paris, CNRS, UMR 7095, 98 Bis Bd Arago, F-75014 Paris, France

来源：

ASTRONOMY & ASTROPHYSICS | 2023年 / 674卷

关键词：

stars: distances; stars: fundamental parameters; methods: statistical; Galaxy: stellar content; dust; extinction; catalogs; BLANKETED MODEL ATMOSPHERES; ULTRACOOL DWARF SAMPLE; EFFECTIVE TEMPERATURES; APOKASC CATALOG; MAIN-SEQUENCE; PRECISE AGES; FIELD STARS; T DWARFS; EVOLUTION; CALIBRATION;

D O I：

10.1051/0004-6361/202243919

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Context. The third Gaia data release (Gaia DR3) contains, beyond the astrometry and photometry, dispersed light for hundreds of millions of sources from the Gaia prism spectra (BP and RP) and the spectrograph (RVS). This data release opens a new window on the chemo-dynamical properties of stars in our Galaxy, essential knowledge for understanding the structure, formation, and evolution of the Milky Way. Aims. To provide insight into the physical properties of Milky Way stars, we used these data to produce a uniformly derived all-sky catalogue of stellar astrophysical parameters: atmospheric properties (T-e ff, log g, [M /H], [alpha/Fe], activity index, emission lines, and rotation), 13 chemical abundance estimates, evolution characteristics (radius, age, mass, and bolometric luminosity), distance, and dust extinction. Methods. We developed the astrophysical parameter inference system (Apsis) pipeline to infer astrophysical parameters of Gaia objects by analysing their astrometry, photometry, BP /RP, and RVS spectra. We validate our results against those from other works in the literature, including benchmark stars, interferometry, and asteroseismology. Here we assess the stellar analysis performance from Apsis statistically. Results. We describe the quantities we obtained, including the underlying assumptions and the limitations of our results. We provide guidance and identify regimes in which our parameters should and should not be used. Conclusions. Despite some limitations, this is the most extensive catalogue of uniformly inferred stellar parameters to date. They comprise T-eff, log g, and [M/H] (470 million using BP/RP, 6 million using RVS), radius (470 million), mass (140 million), age (120 million), chemical abundances (5 million), di ffuse interstellar band analysis (half a million), activity indices (2 million), H ff equivalent widths (200 million), and further classifications of spectral types (220 million) and emission-line stars (50 thousand). More precise and detailed astrophysical parameters based on epoch BP, RP, and RVS spectrophotometry are planned for the next Gaia data release.

引用

页数：36

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