2 papers
astro-ph.GA2026
Determining star formation histories and age-metallicity relations with convolutional neural networks
Enrique Galceran, Patricia Sánchez-Blázquez, Artemi Camps-Fariña +8
We aim to develop a state-of-the-art tool to infer detailed star formation histories (SFHs) and age-metallicity relations from realistic observational data, while mitigating classi…
astro-ph.SR2025
A neural network approach to determining photometric metallicities of M-type dwarf stars
C. Duque-Arribas, H. M. Tabernero, D. Montes +2
M dwarfs are the most abundant stars in the Galaxy and serve as key targets for stellar and exoplanetary studies. It is particularly challenging to determine their metallicities be…