2 papers
astro-ph.GA2026
Data-driven modeling of rotation curves with artificial neural networks
Gabriela Garcia-Arroyo, Isidro Gómez-Vargas, J. Alberto Vázquez
Galactic rotation curves are crucial for understanding the distribution of mass in galaxies. Despite advances in precision observations, there are discrepancies between the inferre…
astro-ph.IM2024
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up
Isidro Gómez-Vargas, J. Alberto Vázquez
In this paper, we present a novel approach to accelerate the Bayesian inference process, focusing specifically on the nested sampling algorithms. Bayesian inference plays a crucial…