Gaia Data Release 3: Analysis of RVS spectra using the General Stellar Parametriser from spectroscopy

Recio-Blanco, A., Laverny, P. de, Palicio, P. A., Kordopatis, G., Álvarez, M. A., Schultheis, M., Sarro Baro, Luis Manuel y et al. . (2023) Gaia Data Release 3: Analysis of RVS spectra using the General Stellar Parametriser from spectroscopy. Astronomy & Astrophysics (A&A), 674(29), 2023

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Título Gaia Data Release 3: Analysis of RVS spectra using the General Stellar Parametriser from spectroscopy
Autor(es) Recio-Blanco, A.
Laverny, P. de
Palicio, P. A.
Kordopatis, G.
Álvarez, M. A.
Schultheis, M.
Sarro Baro, Luis Manuel
et al.
Materia(s) Ingeniería Informática
Abstract 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 eort 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 dierential equivalent width of a cyanogen line; and the parameters of a diuse 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 dierent 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 MilkyWay 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.
Palabras clave stars: fundamental parameters
stars: abundances
methods: data analysis
Galaxy: stellar content
Editor(es) EDP Sciences
Fecha 2023
Formato application/pdf
Identificador bibliuned:95-Lmsarro-0016
http://e-spacio.uned.es/fez/view/bibliuned:95-Lmsarro-0016
DOI - identifier https://doi.org/10.1051/0004-6361/202243750
ISSN - identifier 0004-6361 ; e-ISSN: 1432-0746
Nombre de la revista Astronomy & Astrophysics (A&A)
Número de Volumen 674
Número de Issue 29
Publicado en la Revista Astronomy & Astrophysics (A&A), 674(29), 2023
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
Tipo de acceso Acceso abierto
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Astronomy & Astrophysics (2023) Vol. 674, A29, está disponible en línea en el sitio web del editor: EDP Sciences, https://doi.org/10.1051/0004-6361/202243750
Notas adicionales The registered version of this paper, first published in Astronomy & Astrophysics (2023) Vol.674, A29, is available online at the publisher's website: EDP Sciences, https://doi.org/10.1051/0004-6361/202243750

 
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Creado: Tue, 09 Apr 2024, 18:43:19 CET