volume 674 pages A29

Gaia Data Release 3. Analysis of RVS spectra by the General Stellar Parametrizer from spectroscopy

A. Recio-Blanco 1
P. de Laverny 1
Pedro A. Palicio 2
G. Kordopatis 1
M. A. Álvarez 3
M. Schultheis 1
G. Contursi 1
He Zhao 1
G. Torralba Elipe 4
C. Ordenovic 1
M. Manteiga 3
C. Dafonte 3
I. Oreshina-Slezak 1
A. Bijaoui 1
Y. Fremat 5
J. Bland-Hawthorn 6
F. Pailler 7
Emanuele Spitoni 2
Eloisa Poggio 1
O. Creevey 1
S. Accart 7
René Andrae 8
C. A. L. Bailer-Jones 9
I Bellas-Velidis 10
N. Brouillet 11
E. Brugaletta 12
A. Burlacu 7
R. Carballo 13
Laia Casamiquela 14
Andrea Chiavassa 1
W. J. Cooper 15, 16
A. Dapergolas 10
L. Delchambre 17
Thavisha E. Dharmawardena 18
Ronald Drimmel 16
B. Edvardsson 19
Morgan Fouesneau 20
D. Garabato 3
P. García-Lario 21, 22
M. García-Torres 23
Alvin Gavel 24
A. Gomez 4
I. González-Santamaría 4
D. Hatzidimitriou 10, 25
U. Heiter 24
A. Jean-Antoine Piccolo 26
M. Kontizas 25
A. J. Korn 24
Alessandro C. Lanzafame 27, 28
Y. Lebreton 29, 30
Y. Le Fustec 31
E. L. Licata 16
H. E. P. Lindstrøm 16, 32, 33
E. Livanou 25
A. Lobel 34
A. Lorca 35
Federico Marocco 35
Douglas J. Marshall 35
N. Mary 35
C. Nicolas 7
L. Pallas-Quintela 4
C. Panem 26
B Pichon 1
F. Riclet 7
Annie C. Robin 36
Jan Rybizki 18
R. Santoveña 4
A. Silvelo 4
R. L. Smart 16
Luis M. Sarro 35
R. Sordo 35
C. Soubiran 11
M. Süveges 35
A. Ulla 37
A. Vallenari 35
J. Zorec 35
E. Utrilla 35
J. Bakker 38
1
 
LAGRANGE - Joseph Louis LAGRANGE (Boulevard de l'Observatoire B.P. 4229 06304 Nice Cedex 04 - France - France)
2
 
OCA - Observatoire de la Côte d'Azur (B.P. 4229 06304 Nice Cedex 4 - France)
5
 
ROB - Royal Observatory of Belgium = Observatoire Royal de Belgique (Ringlaan 3 1180 Brussels - Belgium)
6
 
MSSL - Mullard Space Science Laboratory (Holmbury Hill Rd, Dorking RH5 6NT - United Kingdom)
7
 
CNES - Centre National d'Études Spatiales [Toulouse] (18 avenue Edouard Belin 31401 Toulouse - France)
11
 
LAB - Laboratoire d'Astrophysique de Bordeaux [Pessac] (Bât B18N - Allée Geoffroy Saint Hilaire CS 50023 - 33615 Pessac Cedex France - France)
14
 
M2A 2018 (France)
17
 
Institut d'Astrophysique et de Géophysique [Liège] (17 Allée du 6 Août, B-4000 Liège - Belgium)
18
 
Max Planck Institute for Astronomy, Königstuhl 17, 69117 Heidel-berg, Germany
26
 
CNES Centre Spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France
30
 
LESIA - Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (5, place Jules Janssen 92190 MEUDON - France)
31
 
Telespazio for CNES Centre Spatial de Toulouse, 18 Avenue Edouard Belin, 31401 Toulouse Cedex 9, France
34
 
Royal observatory of Belgium, 3 avenue circulaire, 1180 Brussels, Belgium
35
 
/n, Urbanizacion Villafranca del Castillo, Villanueva de la Cañada, 28692 Madrid, Spain
36
 
Thales Services (Campus Polytechnique 1 Avenue Augustin Fresnel 91767 Palaiseau Cedex France - France)
38
 
ATG Europe for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Cañada, 28692 Madrid, Spain
Publication typeJournal Article
Publication date2023-06-01
scimago Q1
wos Q1
SJR1.968
CiteScore8.9
Impact factor5.8
ISSN00046361, 14320746, 23291273, 23291265
Space and Planetary Science
Astronomy and Astrophysics
Abstract

Context. The chemo-physical parametrisation of stellar spectra is essential for understanding the nature and evolution of stars and of Galactic stellar populations. A worldwide observational effort from the ground has provided, in one century, an extremely heterogeneous collection of chemical abundances for about two million stars in total, with fragmentary sky coverage.

Aims. This situation is revolutionised by the Gaia third data release (DR3), which contains the parametrisation of Radial Velocity Spectrometer (RVS) data performed by the General Stellar Parametriser-spectroscopy, GSP-Spec, module. Here we describe the parametrisation of the first 34 months of Gaia RVS observations.

Methods. GSP-Spec estimates the chemo-physical parameters from combined RVS spectra of single stars, without additional inputs from astrometric, photometric, or spectro-photometric BP/RP data. The main analysis workflow described here, MatisseGauguin, is based on projection and optimisation methods and provides the stellar atmospheric parameters; the individual chemical abundances of N, Mg, Si, S, Ca, Ti, Cr, Fe I, Fe II, Ni, Zr, Ce and Nd; the differential equivalent width of a cyanogen line; and the parameters of a diffuse interstellar band (DIB) feature. Another workflow, based on an artificial neural network (ANN) and referred to with the same acronym, provides a second set of atmospheric parameters that are useful for classification control. For both workflows, we implement a detailed quality flag chain considering different error sources.

Results. With about 5.6 million stars, the Gaia DR3 GSP-Spec all-sky catalogue is the largest compilation of stellar chemo-physical parameters ever published and the first one from space data. Internal and external biases have been studied taking into account the implemented flags. In some cases, simple calibrations with low degree polynomials are suggested. The homogeneity and quality of the estimated parameters enables chemo-dynamical studies of Galactic stellar populations, interstellar extinction studies from individual spectra, and clear constraints on stellar evolution models. We highly recommend that users adopt the provided quality flags for scientific exploitation.

Conclusions. The Gaia DR3 GSP-Spec catalogue is a major step in the scientific exploration of Milky Way stellar populations. It will be followed by increasingly large and higher quality catalogues in future data releases, confirming the Gaia promise of a new Galactic vision.

Found 
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Recio‐Blanco A. et al. Gaia Data Release 3. Analysis of RVS spectra by the General Stellar Parametrizer from spectroscopy // Astronomy and Astrophysics. 2023. Vol. 674. p. A29.
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Recio‐Blanco A. et al. Gaia Data Release 3. Analysis of RVS spectra by the General Stellar Parametrizer from spectroscopy // Astronomy and Astrophysics. 2023. Vol. 674. p. A29.
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@article{2023_Recio‐Blanco,
author = {A. Recio-Blanco and P. de Laverny and Pedro A. Palicio and G. Kordopatis and M. A. Álvarez and M. Schultheis and G. Contursi and He Zhao and G. Torralba Elipe and C. Ordenovic and M. Manteiga and C. Dafonte and I. Oreshina-Slezak and A. Bijaoui and Y. Fremat and J. Bland-Hawthorn and F. Pailler and Emanuele Spitoni and Eloisa Poggio and O. Creevey and S. Accart and René Andrae and C. A. L. Bailer-Jones and I Bellas-Velidis and N. Brouillet and E. Brugaletta and A. Burlacu and R. Carballo and Laia Casamiquela and Andrea Chiavassa and W. J. Cooper and A. Dapergolas and L. Delchambre and Thavisha E. Dharmawardena and Ronald Drimmel and B. Edvardsson and Morgan Fouesneau and D. Garabato and P. García-Lario and M. García-Torres and Alvin Gavel and A. Gomez and I. González-Santamaría and D. Hatzidimitriou and U. Heiter and A. Jean-Antoine Piccolo and M. Kontizas and A. J. Korn and Alessandro C. Lanzafame and Y. Lebreton and others},
title = {Gaia Data Release 3. Analysis of RVS spectra by the General Stellar Parametrizer from spectroscopy},
journal = {Astronomy and Astrophysics},
year = {2023},
volume = {674},
publisher = {EDP Sciences},
month = {jun},
url = {https://www.aanda.org/10.1051/0004-6361/202243750},
pages = {A29},
doi = {10.1051/0004-6361/202243750}
}