Issue |
A&A
Volume 564, April 2014
|
|
---|---|---|
Article Number | A133 | |
Number of page(s) | 27 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/201322440 | |
Published online | 18 April 2014 |
Gaia FGK benchmark stars: Metallicity⋆,⋆⋆
1 Institute of Astronomy, University of Cambridge, Madingley Rd, Cambridge CB3 0HA, UK
e-mail: pjofre@ast.cam.ac.uk
2 LAB UMR 5804, Univ. Bordeaux – CNRS, 33270 Floirac, France
3 Department of Physics and Astronomy, Uppsala University, Box 516, 75120 Uppsala, Sweden
e-mail: ulrike.heiter@physics.uu.se
4 Laboratoire Lagrange (UMR7293), Univ. Nice Sophia Antipolis, CNRS, Observatoire de la Côte d’Azur, 06304 Nice, France
5 INAF – Osservatorio Astronomico di Bologna, via Ranzani 1, 40127 Bologna, Italy
6 ASI Science Data Center, via del Politecnico s/n, 00133 Roma, Italy
7 INAF, Osservatorio Astronomico di Padova, Vicolo Osservatorio 5, Padova, 35122 Italy
8 Dipartimento di Fisica e Astronomia, Università di Padova, vicolo Osservatorio 3, 35122 Padova, Italy
9 INAF/Osservatorio Astrofisico di Arcetri, Largo Enrico Fermi 5, 50125 Firenze, Italy
10 Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85741 Garching, Germany
11 Instituto de Astrofísica de Canarias, 38200 La Laguna, Tenerife, Spain
12 Institut d’Astronomie et d’Astrophysique, Univ. Libre de Bruxelles, CP 226, Bd du Triomphe, 1050 Bruxelles, Belgium
13 Dpto. Astrofísica, Facultad de CC. Físicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
14 Dipartimento di Fisica & Astronomia, Universitá degli Studi di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy
15 Department of Astronomy & Astrophysics, University of Chicago, Chicago IL 60637, USA
16 Centro de Astrofísica, Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal
Received: 2 August 2013
Accepted: 24 January 2014
Context. To calibrate automatic pipelines that determine atmospheric parameters of stars, one needs a sample of stars, or “benchmark stars”, with well-defined parameters to be used as a reference.
Aims. We provide detailed documentation of the iron abundance determination of the 34 FGK-type benchmark stars that are selected to be the pillars for calibration of the one billion Gaia stars. They cover a wide range of temperatures, surface gravities, and metallicities.
Methods. Up to seven different methods were used to analyze an observed spectral library of high resolutions and high signal-to-noise ratios. The metallicity was determined by assuming a value of effective temperature and surface gravity obtained from fundamental relations; that is, these parameters were known a priori and independently from the spectra.
Results. We present a set of metallicity values obtained in a homogeneous way for our sample of benchmark stars. In addition to this value, we provide detailed documentation of the associated uncertainties. Finally, we report a value of the metallicity of the cool giant ψ Phe for the first time.
Key words: standards / techniques: spectroscopic / surveys / stars: fundamental parameters
Based on NARVAL and HARPS data obtained within the Gaia DPAC (Data Processing and Analysis Consortium) and coordinated by the GBOG (Ground-Based Observations for Gaia) working group and on data retrieved from the ESO-ADP database.
Tables 6–76 are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/564/A133
© ESO, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.