3 papers
astro-ph.CO2026
Implementation of frequency-correlated noise in CMB component separation: Method, Validation, and Early Applications
L. Zapelli, M. Bersanelli, L. P. L. Colombo +23
Parametric component separation methods used in cosmic microwave background (CMB) analyses commonly assume instrumental noise to be uncorrelated between frequency channels. This ap…
astro-ph.CO2026
Robustness of Neural Networks for CMB Polarization Foreground Removal
Luca Gomez Bachar, Cora Dvorkin, Alberto Daniel Supanitsky
The detection of Cosmic Microwave Background primordial -mode polarization would constitute a ``smoking gun" signal of primordial gravitational waves. However, this measurement…
cs.LG2024
Exact and approximate error bounds for physics-informed neural networks
Augusto T. Chantada, Pavlos Protopapas, Luca Gomez Bachar +2
The use of neural networks to solve differential equations, as an alternative to traditional numerical solvers, has increased recently. However, error bounds for the obtained solut…