Cosmological Hydrodynamical Simulations and Machine Learning in Galaxy Formation and Cosmology

Explore the intersection of galaxy formation and cosmology through a seminar on cosmological hydrodynamical simulations and machine learning. Delve into the wealth of information encoded in galaxy surveys about the fundamental properties of our Universe. Discover how improved modeling of galaxy formation can lead to enhanced constraints on cosmology and fundamental physics. Gain insights into cosmological hydrodynamical simulations as a primary tool for studying galaxy formation, following the coupled evolution of dark and 'normal' matter from cosmologically motivated initial conditions. Learn about the revolutionary advancements in the scale and fidelity of cosmological simulations over the past decade. Examine the emerging trend of applying machine learning techniques to extract cosmological information from the non-linear process of galaxy formation. Join Associate Research Scientist Shy Genel from the Flatiron Institute, Simons Foundation, as he presents cutting-edge research in this fascinating field of astrophysics.