311 citations · 670 across the 13 of their papers we have counts for
23 papers
The Gaia-ESO Survey: Probing the lithium abundances in old metal-rich dwarf stars in the Solar vicinity
M. L. L. Dantas, G. Guiglion, R. Smiljanic +14
We test a scenario in which radial migration could affect the Li abundance pattern of dwarf stars in the solar neighbourhood. This may confirm that the Li abundance in these stars…
The Gaia-ESO Survey: Age-chemical-clock relations spatially resolved in the Galactic disc
C. Viscasillas Vázquez, L. Magrini, G. Casali +33
The last decade has seen a revolution in our knowledge of the Galaxy thanks to the Gaia and asteroseismic space missions and the ground-based spectroscopic surveys. To complete thi…
The Gaia-ESO survey: Lithium abundances in open cluster Red Clump stars
L. Magrini, R. Smiljanic, E. Franciosini +25
It has recently been suggested that all giant stars with mass below 2 suffer an episode of surface lithium enrichment between the tip of the red giant branch (RGB) and…
The Gaia-ESO Survey: Galactic evolution of lithium from iDR6
D. Romano, L. Magrini, S. Randich +31
We exploit the unique characteristics of a sample of open clusters (OCs) and field stars for which high-precision 7Li abundances and stellar parameters are homogeneously derived by…
The Gaia-ESO survey: Mixing processes in low-mass stars traced by lithium abundance in cluster and field stars
L. Magrini, N. Lagarde, C. Charbonnel +42
We aim to constrain the mixing processes in low-mass stars by investigating the behaviour of the Li surface abundance after the main sequence. We take advantage of the data from th…
The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks
G. Guiglion, G. Matijevic, A. B. A. Queiroz +22
In the context of large spectroscopic surveys of stars, data-driven methods are key in deducing physical parameters for millions of spectra in a short time. Convolutional neural ne…