227 citations · 2.1k across the 36 of their papers we have counts for
3 papers · 1 filter
The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way with Machine-Learning
M. Ambrosch, G. Guiglion, Š. Mikolaitis +14
We aim to prepare the machine-learning ground for the next generation of spectroscopic surveys, such as 4MOST and WEAVE. Our goal is to show that convolutional neural networks can…
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…
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…