Planck-cmb-allsky

Gaia FGK benchmark stars: Metallicity

April 2014 • 2014A&A...564A.133J

Authors • Jofré, P. • Heiter, U. • Soubiran, C. • Blanco-Cuaresma, S. • Worley, C. C. • Pancino, E. • Cantat-Gaudin, T. • Magrini, L. • Bergemann, M. • González Hernández, J. I. • Hill, V. • Lardo, C. • de Laverny, P. • Lind, K. • Masseron, T. • Montes, D. • Mucciarelli, A. • Nordlander, T. • Recio Blanco, A. • Sobeck, J. • Sordo, R. • Sousa, S. G. • Tabernero, H. • Vallenari, A. • Van Eck, S.

Abstract • 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.

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 http://cdsarc.u-strasbg.fr (ftp://130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/564/A133

Links


IPAC Authors
(alphabetical)

Jennifer Sobeck

Associate Scientist