18 citations · 31 across the 5 of their papers we have counts for
5 papers
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C
Methods based on Deep Learning have recently been applied on astrophysical parameter recovery thanks to their ability to capture information from complex data. One of these methods…
Constraining the Reionization History using Bayesian Normalizing Flows
Héctor J. Hortúa, Luigi Malago, Riccardo Volpi
The next generation 21 cm surveys open a new window onto the early stages of cosmic structure formation and provide new insights about the Epoch of Reionization (EoR). However, the…
Parameters Estimation from the 21 cm signal using Variational Inference
Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
Upcoming experiments such as Hydrogen Epoch of Reionization Array (HERA) and Square Kilometre Array (SKA) are intended to measure the 21cm signal over a wide range of redshifts, re…
Helical magnetic fields via baryon asymmetry
Eduard F. Piratova, Edilson A. Reyes, Héctor J. Hortúa
There is strong observational evidence for the presence of large-scale magnetic fields MF in galaxies and clusters, with strength G and coherence lenght on the order of Kpc…
Proceedings of the First Astrostatistics School: Bayesian Methods in Cosmology
Héctor J. Hortúa
These are the proceedings of the First Astrostatistics School: Bayesian Methods in Cosmology, held in Bogotá D.C., Colombia, June 9-13, 2014. The first astrostatistics school has b…