7 citations · 7 across the 2 of their papers we have counts for
3 papers
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…
Analysis of Black Hole Solutions in Parabolic Class Using Neural Networks
Ehsan Hatefi, Armin Hatefi, Roberto J. López-Sastre
In this paper, we introduce a numerical method based on Artificial Neural Networks (ANNs) for the analysis of black hole solutions to the Einstein-axion-dilaton system in a high di…
Stellar mass and radius estimation using Artificial Intelligence
Andy Moya, Roberto J. López-Sastre
Estimating stellar masses and radii is a challenge for most of the stars but their knowledge is critical for many different astrophysical fields. One of the most extended technique…