activity
20242026
most citedStellar age determination using deep neural networks: Isochrone ages for 1.3 million stars, based on BaSTI, MIST, PARSEC, Dartmouth and SYCLIST evolutionary grids

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2026

TOPoS VII. Age-metallicity relation in the Galactic halo and assembly of the Milky Way

P. Bonifacio, Y. Lebreton, I. Koutsouridou +8

One technique for determining stellar ages is to compare the position of a star in the Hertzsprung-Russell diagram to theoretical stellar evolutionary tracks. The sub-giant evoluti…

astro-ph.GA20261 cited

Stellar age determination using deep neural networks: Isochrone ages for 1.3 million stars, based on BaSTI, MIST, PARSEC, Dartmouth and SYCLIST evolutionary grids

T. Boin, L. Casamiquela, M. Haywood +4

We aim to develop a model-driven deep learning approach to age determination, by training neural networks on stellar evolutionary grids. Contrary to the usual data-driven deep lear…

astro-ph.SR2025

Cesam2k20: A code for a new generation of stellar evolution models. I. Description of the code

L. Manchon, M. Deal, J. P. C. Marques +1

We present Cesam2k20, the latest version of the hydrostatic stellar evolution code CESAM originally developed by P. Morel and collaborators. Over the last three decades, it has und…

astro-ph.SR2025

Physical interpretation of the oscillation spectrum on the RGB and AGB

G. Dréau, Y. Lebreton, B. Mosser +1

The high-frequency resolution of the four-year time series allows detailed study of seismic modes in luminous giants. Seismic observables help infer interior stru…

astro-ph.GA2024

New stellar age estimates using SPInS based on Gaia DR3 photometry and LAMOST DR8 abundances

L. Casamiquela, D. R. Reese, Y. Lebreton +8

Reliable stellar age estimates are fundamental for testing several problems in modern astrophysics, in particular since they set the time scales of Galactic dynamical and chemical…