1 citations · 1 across the 2 of their papers we have counts for
5 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…
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…
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…
Exploring the Evolution of Nonlinear Electrodynamics in the Universe: A Dynamical Systems Approach
Ricardo GarcÃa-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…