Computational Galaxy Formation at UConn

Welcome to the Computational Galaxy Formation group at UConn, led by Prof. Daniel Anglés-Alcázar.  We routinely develop large numerical simulations and analysis tools to understand the multi-scale physical processes that govern galaxy evolution, from the growth and impact of feedback from central supermassive black holes to the large scale structure of the Universe.

Our group plays a key role in several multi-institutional research projects, including the Feedback In Realistic Environments (FIRE) project, the SIMBA large-volume simulations, the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS), and the Interscale Galactic NucleI Simulations (IGNIS) project.

Learn more about our team, the main areas of research, and our latest publications.