1 citations · 1 across the 1 of their papers we have counts for
3 papers
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…
Rediscovering the Milky Way with orbit superposition approach and APOGEE data III. Panoramic view of the bulge
Sergey Khoperskov, Paola Di Matteo, Matthias Steinmetz +9
The innermost parts of the Milky Way (MW) are very difficult to observe due to the high extinction along the line of sight, especially close to the disc mid-plane. However, this re…
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…