33 citations · 92 across the 4 of their papers we have counts for
3 papers · 1 filter
Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
Ayan Mitra, Isidro Gómez-Vargas, Vasilios Zarikas
In this paper, we present an analysis of Supernova Ia (SNIa) distance moduli and dark energy using an Artificial Neural Network (ANN) reconstruction based on LSST simulated…
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…
Neural network reconstructions for the Hubble parameter, growth rate and distance modulus
Isidro Gómez-Vargas, Ricardo Medel Esquivel, Ricardo García-Salcedo +1
This paper introduces a new approach to reconstruct cosmological functions using artificial neural networks based on observational measurements with minimal theoretical and statist…