2 papers
astro-ph.SR2026
Probabilistic Stellar Mass and Radius Estimation with Bayesian Hierarchical Stacking
Maxence Lamirel, Andrés Moya, Roberto J. López-Sastre +1
Accurate stellar parameters are essential for the characterisation of exoplanets, yet most host stars lack direct measurements of mass and radius. We aim to predict stellar masses…
astro-ph.IM2025
Unveiling the Power of Uncertainty: A Journey into Bayesian Neural Networks for Stellar dating
Víctor Tamames-Rodero, Andrés Moya, Roberto Javier López +1
Context: Astronomy and astrophysics demand rigorous handling of uncertainties to ensure the credibility of outcomes. The growing integration of artificial intelligence offers a nov…