Published June 23, 2011 | Version v1
Conference paper

Stellar libraries for Gaia

Others:
INAF-Osservatorio Astronomico di Padova
Università degli Studi di Padova = University of Padua (Unipd)
Max-Planck-Institut für Astronomie (MPIA)
Centre de Recherche Astrophysique de Lyon (CRAL) ; École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Observatoire Royal de Belgique (ORB)
Laboratoire d'Astrophysique de Marseille (LAM) ; Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)
Astronomical Institute, Utrecht University
Observatoire de la Côte d'Azur ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)
Department of Physics and Astronomy, Uppsala Astronomical Observatory
Dr. Karl Remeis-Sternwarte, Astronomisches Institut, Universität Erlangen-Nuremberg
Groupe de Recherches Autrichiennes et Allemandes. UHB (GRAAL) ; MEN : JE2314-Université de Rennes 2 (UR2) ; Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
Uppsala University
Università degli studi di Catania = University of Catania (Unict)
European Southern Observatory
Galaxies, Etoiles, Physique, Instrumentation (GEPI) ; Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Hamburger Sternwarte, Universität Hamburg
Institut d'Astrophysique de Paris (IAP) ; Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Description

Gaia will observe up to a billion stellar sources. Automated algorithms are under development to derive the atmospheric parameters of all observed spectra, from low resolution optical spectra alone or in synergy with high resolution spectra in the near-IR Ca II triplet region. To do so, a large database of state-of-the-art stellar libraries has been produced for the Gaia community, computed using different codes optimized for specific purposes. The choice to use different spectral codes in different regions of the H-R diagram raises the problem of the coherence of the different spectra, specifically in the transition zones. We present a comparison between the libraries from the point of view of spectra simulations for training the Gaia algorithms. We also present the implementation of these libraries into a Simple Stellar Population code.

Abstract

International audience

Additional details

Created:
December 3, 2022
Modified:
November 27, 2023