9 citations · 9 across the 1 of their papers we have counts for
3 papers
astro-ph.GA2024
Towards Galactic Archaeology with Inferred Ages of Giant Stars From Gaia Spectra
Aisha S. Almannaei, Daisuke Kawata, Ioana Ciuca +4
In the era of Gaia, the accurate determination of stellar ages is transforming Galactic archaeology. We demonstrate the feasibility of inferring stellar ages from Gaia's RVS spectr…
astro-ph.SR2024
Stellar Atmospheric Parameters From Gaia BP/RP Spectra using Uncertain Neural Networks
Connor P. Fallows, Jason L. Sanders
With the plentiful information available in the Gaia BP/RP spectra, there is significant scope for applying discriminative models to extract stellar atmospheric parameters and abun…
astro-ph.GA2022★ 9 cited
A machine learning approach to photometric metallicities of giant stars
Connor P. Fallows, Jason L. Sanders
Despite the advances provided by large-scale photometric surveys, stellar features - such as metallicity - generally remain limited to spectroscopic observations often of bright, n…