Polarization map of the CMB + galactic foregrounds at 140 GHz
Credit: Susanna Azzoni (Oxford)

Cosmology seminar: Simulations of Cosmological Structure and Machine Learning

17May
Seminars and colloquia
Time
-
Venue
Online
Speaker(s)

Simeon Bird (UC Riverside)

Seminar series
Cosmology
Knowledge of physics?
Yes, knowledge of physics required
For more information contact

Simulations of Cosmological Structure and Machine Learning

The large scale distribution of matter in the Universe contains the answers to many mysteries, such as the nature of dark matter, the reionization of the Universe, and the growth of galaxies. Cosmological simulations are the only way to understand these questions. I will talk about how modern current simulation models, work, discuss some new models and improvements in our latest simulation runs, especially our implementations of reionization and cosmology. I will then talk about some new work to dramatically expand the region of applicability of these simulations using machine learning. This can both to expand their dynamic range and combine different simulations to infer the physical  parameters of the Universe.