Gaia Data Release 3: Astrophysical parameters inference system (Apsis) I -- methods and content overview
Abstract
Gaia Data Release 3 contains a wealth of new data products for the community. Astrophysical parameters are a major component of this release. They were produced by the Astrophysical parameters inference system (Apsis) within the Gaia Data Processing and Analysis Consortium. The aim of this paper is to describe the overall content of the astrophysical parameters in Gaia Data Release 3 and how they were produced. In Apsis we use the mean BP/RP and mean RVS spectra along with astrometry and photometry, and we derive the following parameters: source classification and probabilities for 1.6 billion objects, interstellar medium characterisation and distances for up to 470 million sources, including a 2D total Galactic extinction map, 6 million redshifts of quasar candidates and 1.4 million redshifts of galaxy candidates, along with an analysis of 50 million outlier sources through an unsupervised classification. The astrophysical parameters also include many stellar spectroscopic and evolutionary parameters for up to 470 million sources. These comprise Teff, logg, and m_h (470 million using BP/RP, 6 million using RVS), radius (470 million), mass (140 million), age (120 million), chemical abundances (up to 5 million), diffuse interstellar band analysis (0.5 million), activity indices (2 million), H-alpha equivalent widths (200 million), and further classification of spectral types (220 million) and emission-line stars (50 thousand). This catalogue is the most extensive homogeneous database of astrophysical parameters to date, and it is based uniquely on Gaia data.
Cite
@article{arxiv.2206.05864,
title = {Gaia Data Release 3: Astrophysical parameters inference system (Apsis) I -- methods and content overview},
author = {O. L. Creevey and R. Sordo and F. Pailler and Y. Frémat and U. Heiter and F. Thévenin and R. Andrae and M. Fouesneau and A. Lobel and C. A. L. Bailer-Jones and D. Garabato and I. Bellas-Velidis and E. Brugaletta and A. Lorca and C. Ordenovic and P. A. Palicio and L. M. Sarro and L. Delchambre and R. Drimmel and J. Rybizki and G. Torralba Elipe and A. J. Korn and A. Recio-Blanco and M. S. Schultheis and F. De Angeli and P. Montegriffo and A. Abreu Aramburu and S. Accart and M. A. Álvarez and J. Bakker and N. Brouillet and A. Burlacu and R. Carballo and L. Casamiquela and A. Chiavassa and G. Contursi and W. J. Cooper and C. Dafonte and A. Dapergolas and P. de Laverny and T. E. Dharmawardena and B. Edvardsson and Y. Le Fustec and P. García-Lario and M. García-Torres and A. Gomez and I. González-Santamaría and D. Hatzidimitriou and A. Jean-Antoine Piccolo and M. Kontizas and G. Kordopatis and A. C. Lanzafame and Y. Lebreton and E. L. Licata and H. E. P. Lindstrøm and E. Livanou and A. Magdaleno Romeo and M. Manteiga and F. Marocco and D. J. Marshall and N. Mary and C. Nicolas and L. Pallas-Quintela and C. Panem and B. Pichon and E. Poggio and F. Riclet and C. Robin and R. Santoveña and A. Silvelo and I. Slezak and R. L. Smart and C. Soubiran and M. Süveges and A. Ulla and E. Utrilla and A. Vallenari and H. Zhao and J. Zorec and D. Barrado and A. Bijaoui and J. -C. Bouret and R. Blomme and I. Brott and S. Cassisi and O. Kochukhov and C. Martayan and D. Shulyak and J. Silvester},
journal= {arXiv preprint arXiv:2206.05864},
year = {2023}
}
Comments
35 pages (incl 7 pages references, appendix, affiliations, acknowledgements), 29 figures, A&A, accepted