2 papers
astro-ph.GA2026
Two faces of Gaia-Sausage-Enceladus: Mining the chemical abundance space with graph attention networks
Milan Quandt-Rodriguez, Sara Lucatello, Lorenzo Spina +2
Recent studies suggest that chemical abundances hold the key to disentangling halo substructure, providing a more reliable tracer than dynamics alone. We aim to probe the Milky Way…
astro-ph.SR2025
LRPayne: Stellar parameters and abundances from low-resolution spectra
Nagaraj Vernekar, Lorenzo Spina, Sara Lucatello +4
Aims. This paper introduces LRPayne, a novel algorithm designed for the efficient determination of stellar parameters and chemical abundances from low-resolution optical spectra, w…