Summary
Computer simulations, based on physics, can be used to predict how galaxies grow over time. These cosmological simulations connect the growth of dark matter to stellar and gaseous processes. The predictions that these simulations provide are often sensitive to various arbitrary choices which introduce uncertainty that is rarely quantified. This program will develop a novel analysis, based on AI, that will allow for the characterization of uncertainties in cosmological simulations in a novel way. This research will be conducted at the University of Virginia and support a graduate research stud
