Gaia Data Release 3

Author(s)

, P. Montegriffo, M. Bellazzini, F. De Angeli, R. Andrae, M. A. Barstow, D. Bossini, A. Bragaglia, P. W. Burgess, C. Cacciari, J. M. Carrasco, N. Chornay, L. Delchambre, D. W. Evans, M. Fouesneau, Y. Frémat, D. Garabato, C. Jordi, M. Manteiga, D. Massari, L. Palaversa, E. Pancino, M. Riello, D. Ruz Mieres, N. Sanna, R. Santoveña, R. Sordo, A. Vallenari, N. A. Walton, A. G.A. Brown, T. Prusti, J. H.J. De Bruijne, F. Arenou, C. Babusiaux, M. Biermann, O. L. Creevey, C. Ducourant, L. Eyer, R. Guerra, A. Hutton, S. A. Klioner, U. L. Lammers, L. Lindegren, X. Luri, F. Mignard, C. Panem, D. Pourbaix, S. Randich, P. Sartoretti, J. Alves, T. Lebzelter

Abstract

Gaia Data Release 3 provides novel flux-calibrated low-resolution spectrophotometry for '220 million sources in the wavelength range 330 nm ≤ λ ≤ 1050 nm (XP spectra). Synthetic photometry directly tied to a flux in physical units can be obtained from these spectra for any passband fully enclosed in this wavelength range. We describe how synthetic photometry can be obtained from XP spectra, illustrating the performance that can be achieved under a range of different conditions - for example passband width and wavelength range - as well as the limits and the problems affecting it. Existing top-quality photometry can be reproduced within a few per cent over a wide range of magnitudes and colour, for wide and medium bands, and with up to millimag accuracy when synthetic photometry is standardised with respect to these external sources. Some examples of potential scientific application are presented, including the detection of multiple populations in globular clusters, the estimation of metallicity extended to the very metal-poor regime, and the classification of white dwarfs. A catalogue providing standardised photometry for 2.2×10⁸sources in several wide bands of widely used photometric systems is provided (Gaia Synthetic Photometry Catalogue; GSPC) as well as a catalogue of '105 white dwarfs with DA/non-DA classification obtained with a Random Forest algorithm (Gaia Synthetic Photometry Catalogue for White Dwarfs; GSPC-WD).

Organisation(s)

Department of Astrophysics

External organisation(s)

Instituto Nazionale die Astrofisica (INAF), University of Cambridge, Max-Planck-Institut für Astronomie, University of Leicester, Universidade do Porto, Universitat de Barcelona, Université de Liège, Royal Observatory of Belgium, Universidade da Coruña, Rudjer Boskovic Institute, INAF - Osservatorio Astrofisico di Arcetri, Space Science Data Center (SSDC) - Agenzia Spaziale Italiana (ASI), Osservatorio Astronomico, Leiden University, Science and Operations Department - Science Division (SCI-SC), Paris Observatory, University of Grenoble Alpes, Scientific Software Center, Université Côte d'Azur, Laboratoire d'Astrophysique de Bordeaux, Université de Genève, European Space Astronomy Centre (ESA), Technische Universität Dresden, Lund Observatory, Centre national d'études spatiales (CNES), Université Libre de Bruxelles, Fonds de la Recherche Scientifique – FNRS

Journal

Astronomy and Astrophysics

Volume

674

No. of pages

58

ISSN

0004-6361

DOI

https://doi.org/10.1051/0004-6361/202243709

Publication date

06-2023

Peer reviewed

Yes

Austrian Fields of Science 2012

103003 Astronomy, 103004 Astrophysics

Keywords

ASJC Scopus subject areas

Astronomy and Astrophysics, Space and Planetary Science

Portal url

https://ucris.univie.ac.at/portal/en/publications/gaia-data-release-3(1a472591-0846-42b7-9429-81b2819f8d1d).html