Fouesneau, M. ; Frémat, Y. ; Andrae, R. ; Korn, A. J. ; Soubiran, C. ; Kordopatis, G. ; Vallenari, A. ; Heiter, U. ; Creevey, O. L. ; Sarro, L. M. ; de Laverny, P. ; Lanzafame, A. C. ; Lobel, A. ; Sordo, R. ; Rybizki, J. ; Slezak, I. ; Álvarez, M. A. ; Drimmel, R. ; Garabato, D. ; Delchambre, L. ; Bailer-Jones, C. A. L. ; Hatzidimitriou, D. ; Lorca, A. ; Le Fustec, Y. ; Pailler, F. ; Mary, N. ; Robin, C. ; Utrilla, E. ; Abreu Aramburu, A. ; Bakker, J. ; Bellas-Velidis, I. ; Bijaoui, A. ; Blomme, R. ; Bouret, J. -C. ; Brouillet, N. ; Brugaletta, E. ; Burlacu, A. ; Carballo, R. ; Casamiquela, L. ; Chaoul, L. ; Chiavassa, A. ; Contursi, G. ; Cooper, W. J. ; Dafonte, C. ; Demouchy, C. ; Dharmawardena, T. E. ; García-Lario, P. ; García-Torres, M. ; Gomez, A. ; González-Santamaría, I. ; Jean-Antoine Piccolo, A. ; Kontizas, M. ; Lebreton, Y. ; Licata, E. L. ; Lindstrøm, H. E. P. ; Livanou, E. ; Magdaleno Romeo, A. ; Manteiga, M. ; Marocco, F. ; Martayan, C. ; Marshall, D. J. ; Nicolas, C. ; Ordenovic, C. ; Palicio, P. A. ; Pallas-Quintela, L. ; Pichon, B. ; Poggio, E. ; Recio-Blanco, A. ; Riclet, F. ; Santoveña, R. ; Schultheis, M. S. ; Segol, M. ; Silvelo, A. ; Smart, R. L. ; Süveges, M. ; Thévenin, F. ; Torralba Elipe, G. ; Ulla, A. ; van Dillen, E. ; Zhao, H. ; Zorec, J.

published in Astronomy & Astrophysics, 674, pp. A28 (36pp) (2023)

Abstract: 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 catalog of stellar astrophysical parameters (APs): atmospheric properties (Teff, log g, [M/H], [alpha/Fe], activity index, emission lines, rotation), 13 chemical abundance estimates, evolution characteristics (radius, age, mass, bolometric luminosity), distance, and dust extinction. Methods. We developed the astrophysical parameters inference system (Apsis) pipeline to infer APs of Gaia objects by analyzing their astrometry, photometry, BP/RP, and RVS spectra. We validate our results against other works in the literature, including benchmark stars, interferometry, and asteroseismology. Here we assessed 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 catalog of uniformly-inferred stellar parameters to date. These comprise Te, 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), diffuse interstellar band analysis (1/2 million), activity indices (2 million), Halpha equivalent widths (200 million), and further classification 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. Our catalog is available from the Gaia Archive and partner data centers.

Keyword(s): stars: distances ; stars: fundamental parameters ; methods: statistical ; Galaxy: stellar content ; ISM: dust extinction ; Catalogs
DOI: 10.1051/0004-6361/202243919
Links: link; link2
Funding: Gaia PRODEX/Gaia PRODEX/Gaia PRODEX