Speaker
Description
The study of galaxy formation and evolution has progressed significantly in recent decades, with numerical simulations producing galaxies matching observed properties. However, the inner workings of the feedback processes that regulate the growth of galaxies are not fully understood. To address this, a new generation of high-resolution simulations has been developed, using subgrid models to describe unresolved phenomena at the resolution scale. While these simulations can produce galaxies comparable to observations, there is a degeneracy between subgrid models which can only be lifted by an observable beyond galactic properties such as the CGM. In this talk, I will present the results of a series of zoom-in cosmological simulations of the same galaxy using different subgrid models. I will then demonstrate how different subgrid models can produce galaxies with similar stellar masses, yet distinct CGM, and how CGM observables can discriminate them. Finally, I will present a simple experiment showing which CGM properties are crucial for simulations to reproduce CGM observables.
