28 citations · 82 across the 9 of their papers we have counts for
9 papers
Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection
Isidro Gómez-Vargas, Xavier Dumusque, Yinan Zhao +2
Detecting the tiny Doppler shifts induced by Earth-mass planets in stellar radial-velocity measurements remains extremely challenging due to stellar activity. Many deep-learning me…
Exploring the Evolution of Nonlinear Electrodynamics in the Universe: A Dynamical Systems Approach
Ricardo García-Salcedo, Isidro Gómez-Vargas, Tame González +2
This paper investigates the dynamics of cosmological models incorporating nonlinear electrodynamics (NLED), focusing on their stability and causality. We explore two specific NLED…
Improving Earth-like planet detection in radial velocity using deep learning
Yinan Zhao, Xavier Dumusque, Michael Cretignier +9
Many novel methods have been proposed to mitigate stellar activity for exoplanet detection as the presence of stellar activity in radial velocity (RV) measurements is the current m…
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…
Cosmological parameter estimation with Genetic Algorithms
Ricardo Medel-Esquivel, Isidro Gómez-Vargas, Alejandro A. Morales Sánchez +2
Genetic algorithms are a powerful tool in optimization for single and multi-modal functions. This paper provides an overview of their fundamentals with some analytical examples. In…
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…
A simple estimation of the size of the molecules using a pencil lead
Ricardo Medel-Esquivel, Isidro Gómez-Vargas, J. Alberto Vázquez +1
The main aim of this article is that students, at the basic level of education, gain a quantitative understanding of the size of molecules by performing a simple experiment easily…