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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…
gr-qc2025
Spherically Symmetric Potentials in Quadratic Gravity
Roger Anderson Hurtado
We study the gravitational potential generated by static, spherically symmetric matter distributions in a quadratic gravity model. In the weak-field regime, the linearized f…