Inpainting via Generative Adversarial Networks for CMB data analysis

1 code implementation • 8 Apr 2020 • 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.

Generative Adversarial Network

Foreground model recognition through Neural Networks for CMB B-mode observations

no code implementations • 4 Mar 2020 • 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 Microwave Background (CMB) $B$-mode multi-frequency observations.