Connecting Galaxy Evolution between Observation, Simulation, and Theory

Joshua Speagle Speaker
University of Toronto
Tuesday, Aug 8: 10:35 AM - 11:00 AM
Invited Paper Session 
Metro Toronto Convention Centre 
Figuring out how galaxies evolve over time has always been a tricky problem because we only get to see "snapshots" of different galaxy populations over time. Connecting these snapshots together into a coherent picture requires (1) inferring the evolutionary history of individual galaxies as well as (2) modelling underlying changes in populations across time using either numerical simulations or flexible statistical methods. I will highlight how advances in capturing more complex galaxy evolutionary histories and more diverse galaxy populations have substantially revised our view of how galaxies evolve over time (and improved agreement with simulations). This will cover topics including sampling methods, machine learning, and other related areas.