Oral Presentation
Osaka Feedback Model II: Modeling Supernova Feedback Based on High-Resolution Simulations
Presenter: Yuri Oku (Osaka University)
Feedback from supernovae (SNe) is an essential mechanism that self-regulates the growth of galaxies, and a better model of SN feedback is still needed in galaxy formation simulations.
We first use an Eulerian hydrodynamic code Athena++ to perform 3D simulations of a superbubble and find its universal scaling relation for the time evolution of momentum.
We then develop an SN feedback model based on the Athena++ simulation results utilizing Voronoi tesselation around each star particle, and implement it into the GADGET3-Osaka smoothed particle hydrodynamics code.
We overview the SN feedback model developed in this work and show that the mechanical feedback suppresses star formation, while the thermal feedback launches hot outflows, transporting metals to the circumgalactic medium.
We argue that an effective model with both thermal and mechanical feedback is necessary when individual SN bubbles are unresolved.
