Building predictive models of galaxy formation
Greg L. Bryan
Columbia University

The need for a comprehensive and predictive model for galaxy formation and evolution has never been greater. New and upcoming 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.

Date:	Jeudi, le 9 octobre 2025
Heure:	11:00
Lieu:	Université de Montréal
	A-3561