3:30–5:00 pm ERC 161
Title: Building predictive models of galaxy formation
Abstract: The need for a comprehensive and predictive model for galaxy formation and evolution has never been greater. New and existing facilities will generate enormous amounts of cosmological-scale data, but turning these observations into insight on the fundamental physics of dark energy and dark matter will require advances in how we model galaxies across scales. I will describe a recent effort along these lines, focusing on advances in our understanding of the physics that regulates galaxy formation and evolution. In particular, I will show how studying the small-scale interaction of hot winds and cold clouds has led us to re-evaluate how galaxy regulation occurs. In contrast to currently accepted wisdom, I will argue that supernovae do not eject large amounts of mass from galaxies. Instead, they generate low-mass–loaded, high-specific-energy winds that heat the surrounding gas, shifting the primary site of galaxy self-regulation from within galaxies to the circumgalactic medium and beyond.
Zoom: https://uchicago.zoom.us/j/99103268158?pwd=a39TsQXFkueaSGfGla9KcFzA52DfI4.1
