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Verfasst von:Creevey, Orlagh L. [VerfasserIn]   i
 Andrae, René [VerfasserIn]   i
 Fouesneau, Morgan [VerfasserIn]   i
 Biermann, Michael [VerfasserIn]   i
 Bailer-Jones, Coryn A. L. [VerfasserIn]   i
 Bastian, Ulrich [VerfasserIn]   i
 Gracia-Abril, Gonzalo [VerfasserIn]   i
 Altmann, Martin [VerfasserIn]   i
 Jordan, Stefan [VerfasserIn]   i
 Löffler, Wolfgang [VerfasserIn]   i
 Rybizki, Jan [VerfasserIn]   i
 Balog, Zoltan [VerfasserIn]   i
 Peloso, Eduardo Fernandez del [VerfasserIn]   i
 Hauser, Marcus [VerfasserIn]   i
 Juaristi Campillo, Jon [VerfasserIn]   i
 Payne-Wardenaar, Stefan Erik [VerfasserIn]   i
 Rix, Hans-Walter [VerfasserIn]   i
 Sagristà Sellés, Antoni [VerfasserIn]   i
Titel:Gaia data release 3
Titelzusatz:a golden sample of astrophysical parameters
Körperschaft:Gaia collaboration [VerfasserIn]   i
Verf.angabe:Gaia Collaboration: O.L. Creevey, R. Andrae, M. Fouesneau, M. Biermann, C.a.L. Bailer-Jones, U. Bastian, G. Gracia-Abril, M. Altmann, S. Jordan, W. Löffler, J. Rybizki, Z. Balog, E.F. del Peloso, M. Hauser, J. Juaristi Campillo, S. Payne-Wardenaar, H.-W. Rix, A. Sagristà Sellés ... [und 431 weitere]
E-Jahr:2023
Jahr:16 June 2023
Umfang:34 S.
Illustrationen:Diagramme
Fussnoten:Gesehen am 20:03.2024
Titel Quelle:Enthalten in: Astronomy and astrophysics
Ort Quelle:Les Ulis : EDP Sciences, 1969
Jahr Quelle:2023
Band/Heft Quelle:674(2023) vom: Juni, Artikel-ID A39, Seite 1-34
ISSN Quelle:1432-0746
Abstract:Context.Gaia: Data Release 3 (DR3) provides a wealth of new data products for the astronomical community to exploit, including astrophysical parameters for half a billion stars. In this work, we demonstrate the high quality of these data products and illustrate their use in different astrophysical contexts. Aims: We produce homogeneous samples of stars with high-quality astrophysical parameters by exploiting Gaia DR3, while focusing on many regimes across the Hertzsprung-Russell (HR) diagram; spectral types OBA, FGKM, and ultracool dwarfs (UCDs). We also focus on specific subsamples of particular interest to the community: solar analogues, carbon stars, and the Gaia spectrophotometric standard stars (SPSS). Methods: We query the astrophysical parameter tables along with other tables in Gaia DR3 to derive the samples of the stars of interest. We validate our results using the Gaia catalogue itself and by comparison with external data. Results: We produced six homogeneous samples of stars with high-quality astrophysical parameters across the HR diagram for the community to exploit. We first focus on three samples that span a large parameter space: young massive disc stars (OBA; about 3 Million), FGKM spectral type stars (about 3 Million), and UCDs (about 20 000). We provide these sources along with additional information (either a flag or complementary parameters) as tables that are made available in the Gaia archive. We also identify 15 740 bone fide carbon stars and 5863 solar analogues, and provide the first homogeneous set of stellar parameters of the SPSS sample. We demonstrate some applications of these samples in different astrophysical contexts. We use a subset of the OBA sample to illustrate its usefulness in analysing the Milky Way rotation curve. We then use the properties of the FGKM stars to analyse known exoplanet systems. We also analyse the ages of some unseen UCD-companions to the FGKM stars. We additionally predict the colours of the Sun in various passbands (Gaia, 2MASS, WISE) using the solar-analogue sample. Conclusions.Gaia: DR3 contains a wealth of new high-quality astrophysical parameters for the community to exploit.
DOI:doi:10.1051/0004-6361/202243800
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1051/0004-6361/202243800
 kostenfrei: Volltext: https://www.aanda.org/articles/aa/abs/2023/06/aa43800-22/aa43800-22.html
 DOI: https://doi.org/10.1051/0004-6361/202243800
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1883923484
Verknüpfungen:→ Zeitschrift

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