Recording: https://www.oact.inaf.it/seminars/
DATE: Monday, July 15, 11:30 a.m.
ORGANIZER: INAF OACT
LOCATION: AULA OVEST (INAF-OACT) + remote
Link for the remote audience:
https://meet.google.com/wvf-uwxo-oyj
SPEAKER: Dr. José Manuel Casas González, Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)
ABSTRACT:
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.
A few rules:
— in case of large in-person attendance, attendees may be asked to wear a face mask
— before joining, make sure you are using your institutional inaf.it account if you have one (otherwise we will grant you permission to join)
— please do not forget to mute your microphone and switch off your webcam when access the virtual room
— for questions leave a message in the chat, the answers at the end of the webinar
— the seminar will be recorded, so if you are interested in it, please contact us to get the link to the registration.