Ponente
Prof.
Luis Raul Abramo
(IF/USP)
Descripción
The increasing depth and completeness of cosmological surveys is generating a wealth of data which is not trivial to unravel. New techniques using machine learning and advanced statistical methods will be necessary to make sense of that data, and to combine the different surveys. This vast wealth of information also imposes strict demands from simulations, which must cope with a unified description of large-scale structures not only in terms of different tracers, but also in different messengers -- including cosmic rays, gravitational waves and neutrinos. In this talk I will discuss some efforts in these directions.
