20 citations · 78 across the 10 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 Survey: Preparing the ground for 4MOST & WEAVE galactic surveys. Chemical evolution of lithium with machine learning
S. Nepal, G. Guiglion, R. S. de Jong +21
With its origin coming from several sources (Big Bang, stars, cosmic rays) and given its strong depletion during its stellar lifetime, the lithium element is of great interest as i…
Gaia-ESO Survey: Detailed elemental abundances in red giants of the peculiar globular cluster NGC 1851
G. Tautvaisiene, A. Drazdauskas, A. Bragaglia +24
Context. NGC 1851 is one of several globular clusters for which multiple stellar populations of the subgiant branch have been clearly identified and a difference in metallicity det…