28 citations · 78 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
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…
Interacting Scalar fields: Dark matter and early dark energy
Gabriela Garcia-Arroyo, L. Arturo Ureña-López, J. Alberto Vázquez
The main aim of this work is to explore the possibility that cold dark matter (CDM) and early dark energy (EDE) can be described by canonical scalar fields that are coupled at the…