63 citations · 413 across the 25 of their papers we have counts for
9 papers · 1 filter
Spectral classification of the 100 pc white dwarf population from Gaia-DR3 and the Virtual Observatory
F. M. Jiménez-Esteban, S. Torres, A. Rebassa-Mansergas +5
The third data release of Gaia has provided low resolution spectra for ~100,000 white dwarfs (WDs) that, together with the excellent photometry and astrometry, represent an unrival…
J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools II. Second data release and machine learning methodology
P. Mas-Buitrago, E. Solano, A. González-Marcos +20
Ultracool dwarfs (UCDs) comprise the lowest mass members of the stellar population and brown dwarfs, from M7 V to cooler objects with L, T, and Y spectral types. Most of them have…
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…
The Gaia-ESO survey: placing constraints on the origin of r-process elements
M. Van der Swaelmen, C. Viscasillas Vázquez, G. Cescutti +19
A renewed interest about the origin of \emph{r}-process elements has been stimulated by the multi-messenger observation of the gravitational event GW170817, with the detection of b…
The Gaia-ESO Survey: Chemical tagging in the thin disk. Open clusters blindly recovered in the elemental abundance space
L. Spina, L. Magrini, G. G. Sacco +14
The chemical makeup of a star provides the fossil information of the environment where it formed. Under this premise, it should be possible to use chemical abundances to tag stars…