28 citations · 78 across the 8 of their papers we have counts for
8 papers
Axio-Dilaton Dark Energy: A Dynamical Systems and Bayesian Inference Analysis
Mario Ramos-Hamud, Gabriela García-Arroyo, Fernando Quevedo +1
We initiate a systematic cosmological investigation of an axio-dilaton system governed by a curved field-space metric as generically motivated by supergravity and string compactifi…
Cosmological Constraints on Interacting Scalar-Field Dark Matter and Early Dark Energy mediated by a Kinetic Kernel
Gabriela Garcia-Arroyo, L. Arturo Ureña-López, J. Alberto Vázquez
In this work, we build a general framework for constraining interacting scalar fields with cosmological observations, applicable to a broad family of scalar--field potentials and i…
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…
Coupled Multi Scalar Field Dark Energy
J. Alberto Vázquez, David Tamayo, Gabriela Garcia-Arroyo +3
The main aim of this paper is to present the multi scalar field components as candidates to be the dark energy of the universe and their observational constraints. We start with th…
Analysis of Dark Matter Halo Structure Formation in -body Simulations with Machine Learning
Jazhiel Chacón, Isidro Gómez-Vargas, Ricardo Menchaca Méndez +1
The properties of the matter density field in the initial conditions have a decisive impact on the features of the large-scale structure of the Universe as observed today. These ne…
Observational cosmology with Artificial Neural Networks
Juan de Dios Rojas Olvera, Isidro Gómez-Vargas, J. Alberto Vázquez
In cosmology, the analysis of observational evidence is very important to test theoretical models of the Universe. Artificial neural networks are powerful and versatile computation…