Young Researcher Meeting

Machine learning and big data in Physics

21 January 2021 - Online event

Extending Galactic models for Cosmic Microwave Background emission with adversarial nets

Abstract

The last few decades represented this research focuses on the Cosmic Microwave Background (CMB)  radiation, the light relic of the Big Bang. One of the major challenges in this context is to detect a  polarization pattern, the so called B-modes of CMB polarization, that are thought to be  directly linked to the space-time fluctuations present in  the Universe at the very first instants of life. To date, several challenges have prevented to detect the B-modes partly because of the lower sensitivity of the detectors. Our own Galaxy is observed in this context as a foreground contamination. In this talk we will show a novel technique encoding generative neural networks aimed at  improving the modeling of the polarized   emission at sub-millimetric wavelengths, mostly sourced by the  Galactic dust.