activity
20172024
most citedThe Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy

188 citations · 655 across the 12 of their papers we have counts for

collaborators

12 papers

astro-ph.SR2024

The Gaia-ESO Survey: Calibrating the lithium-age relation with open clusters and associations. II. Expanded cluster sample and final membership selection

M. L. Gutiérrez Albarrán, D. Montes, H. M. Tabernero +26

The Li abundance observed in pre-main sequence and main sequence late-type stars is strongly age-dependent, but also shows a complex pattern depending on several parameters, such a…

astro-ph.SR2024

The Gaia-ESO Survey: The DR5 analysis of the medium-resolution GIRAFFE and high-resolution UVES spectra of FGK-type stars

C. C. Worley, R. Smiljanic, L. Magrini +42

The Gaia-ESO Survey is an European Southern Observatory (ESO) public spectroscopic survey that targeted stars in the Milky Way covering the major populations of the disk, bu…

astro-ph.SR2022★ 133 cited

The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products

G. Gilmore, S. Randich, C. C. Worley +165

The Gaia-ESO Public Spectroscopic Survey is an ambitious project designed to obtain astrophysical parameters and elemental abundances for 100,000 stars, including large representat…

astro-ph.EP2022★ 47 cited

A detailed analysis of the Gl 486 planetary system

J. A. Caballero, E. Gonzalez-Alvarez, M. Brady +64

The Gl 486 system consists of a very nearby, relatively bright, weakly active M3.5 V star at just 8 pc with a warm transiting rocky planet of about 1.3 R_Terra and 3.0 M_Terra that…

astro-ph.GA2022★ 188 cited

The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy

S. Randich, G. Gilmore, L. Magrini +161

In the last 15 years different ground-based spectroscopic surveys have been started (and completed) with the general aim of delivering stellar parameters and elemental abundances f…

astro-ph.SR2021★ 55 cited

SteParSyn: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis

H. M. Tabernero, E. Marfil, D. Montes +1

Context: SteParSyn is an automatic code written in Python 3.X designed to infer the stellar atmospheric parameters Teff, log(g), and [Fe/H] of FGKM-type stars following the spectra…