Numerical simulations for cosmology

One of the most pressing issues in theoretical cosmology today is how to optimally interpret the data from future large-scale observations. In this talk, I will discuss a framework based on cosmological N-body simulations that provides accurate predictions as a function of cosmological parameters and astrophysics with high precision. The method is a result of several recent advances in computational cosmology regarding the modelling of dark matter, gas and baryonic effects, galaxy formation, and the development of neural networks that enable the delivery of theory predictions in a fraction of a second. The approach I will discuss has the potential to significantly increase the amount of cosmological information extracted from surveys like EUCLID, and thus about the nature of dark energy, dark matter, and the mass of neutrinos.

Zoom link: https://zoom.us/j/91390797603?pwd=bWdEdUJNYkhZQWZQRFdsTjlSQXk0Zz09