Speaker
Description
Galaxies interact with their surrounding circumgalactic medium (CGM) through complex feedback mechanisms that regulate their evolution. The CGM, like other astrophysical media, is a turbulent, magnetised environment where mixing processes and radiative cooling drive the formation of multiphase gas. Understanding this multiphase nature is crucial for understanding the baryon cycle, yet the vast range of length scales involved makes resolved simulations at cosmological scales computationally prohibitive.
Subgrid models, inspired and verified with small-scale idealised simulations, offer a powerful approach to bridge this gap, capturing unresolved multiphase interactions and their role in galaxy evolution. In this talk, I will present our recent work on understanding multiphase gas evolution, with turbulence, magnetic fields, 3-phase gas, and thermal instability, highlighting key differences between mixing layer simulations and turbulence box simulations. I will then introduce our project MOGLI aimed at leveraging insights from these idealised studies to develop a subgrid multifluid model within the moving-mesh hydrodynamic code AREPO. This model enables the exploration of multiphase gas evolution at scales previously inaccessible in large-scale simulations. I will discuss the implementation details and demonstrate how this framework advances our ability to model feedback and gas dynamics in galaxy formation.
