eventi-seminari

The Cosmic Microwave Background, the relic emission from the primordial Universe, is one of the most important observables in Cosmology. Its recovery is generally carried out by parametric and (semi) blind methods after removing several Galactic and extragalactic emissions. However, in order to take into account their non-linear behaviors, Machine Learning approaches such Neural Networks seem to be promising for that task. In this talk, I will describe how they begin to be an alternative and reliable methods for recovering the Cosmic Microwave Background.