The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances
Abstract :
The Gaia-ESO Survey is a public spectroscopic survey that targeted ≳105 stars covering all major components of the Milky Way from the end of 2011 to 2018, delivering its final public release in May 2022. Unlike other spectroscopic surveys, Gaia-ESO is the only survey that observed stars across all spectral types with dedicated, specialised analyses: from O (Teff ~ 30 000-52 000 K) all the way to K-M (≳3500 K). The physics throughout these stellar regimes varies significantly, which has previously prohibited any detailed comparisons between stars of significantly different types. In the final data release (internal data release 6) of the Gaia-ESO Survey, we provide the final database containing a large number of products, such as radial velocities, stellar parameters and elemental abundances, rotational velocity, and also, for example, activity and accretion indicators in young stars and membership probability in star clusters for more than 114 000 stars. The spectral analysis is coordinated by a number of working groups (WGs) within the survey, each specialised in one or more of the various stellar samples. Common targets are analysed across WGs to allow for comparisons (and calibrations) amongst instrumental setups and spectral types. Here we describe the procedures employed to ensure all survey results are placed on a common scale in order to arrive at a single set of recommended results for use by all survey collaborators. We also present some general quality and consistency checks performed on the entirety of the survey results.
The full Gaia-ESO catalogue is available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (ftp://130.79.128.5) or via cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/676/A129
Publication : Astronomy & Astrophysics, Volume 676, id.A129, 33 pp.
DOI : 10.1051/0004-6361/202345910
Bibcode : 2023A&A...676A.129H
Keywords : stars: abundances; stars: fundamental parameters; Galaxy: stellar content; methods: data analysis; methods: statistical; techniques: spectroscopic; Astrophysics - Solar and Stellar Astrophysics; Astrophysics - Astrophysics of Galaxies