9 citations · 16 across the 7 of their papers we have counts for
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astro-ph.CO2025
Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks
Juan Alejandro Pinto Castro, Héctor J. Hortúa, Jorge Enrique García-Farieta +1
Deep learning has emerged as a transformative methodology in modern cosmology, providing powerful tools to extract meaningful physical information from complex astronomical dataset…
astro-ph.CO2013★ 5 cited
Gravitational Lensing by Spherical Lenses
Roger Hurtado, Leonardo Castaneda, Juan M. Tejeiro
In this work we introduced a new proposal to study the gravitational lensing theory by spherical lenses, starting from its surface mass density written in terms of a decreas…