3 papers
astro-ph.CO2022
New applications of Graph Neural Networks in Cosmology
Farida Farsian, Federico Marulli, Lauro Moscardini +1
Upcoming cosmological surveys will provide unprecedented amount of data, which will require innovative statistical methods to maximize the scientific exploitation. Standard cosmolo…
astro-ph.CO2020
Inpainting via Generative Adversarial Networks for CMB data analysis
Alireza Vafaei Sadr, Farida Farsian
In this work, we propose a new method to inpaint the CMB signal in regions masked out following a point source extraction process. We adopt a modified Generative Adversarial Networ…
astro-ph.CO2020
Foreground model recognition through Neural Networks for CMB B-mode observations
Farida Farsian, Nicoletta Krachmalnicoff, Carlo Baccigalupi
In this work we present a Neural Network (NN) algorithm for the identification of the appropriate parametrization of diffuse polarized Galactic emissions in the context of Cosmic M…