Speaker
Description
One of the major challenges in the context of the Cosmic Microwave Background (CMB) radiation 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 how novel techniques involving supervised and unsupervised learning encoding can be adopted in order to improve the modeling of the Galactic polarized emission at sub-millimetric wavelengths. This is particularly relevant in order to better characterize the foreground contamination for future CMB experiments (e.g. SO, LiteBIRD, CMB-S4 ), where high sensitivities are expected to be achieved.
