A study of AGN and supernova feedback in simulations of isolated and merging disc galaxies
Richard D. A. Newton, Scott T. Kay (Jodrell Bank Centre for, Astrophysics)

TL;DR
This study uses high-resolution simulations to analyze how AGN and supernova feedback influence galaxy evolution, revealing that supernovae dominate in isolated galaxies while AGN are more influential during mergers, with feedback effects being largely independent.
Contribution
It systematically compares the effects of AGN and supernova feedback in isolated and merging galaxies, highlighting the dominant feedback mechanisms and the importance of heating temperature.
Findings
Supernovae mainly suppress star formation in isolated galaxies.
AGN feedback can shut off star formation during mergers.
Feedback processes interact weakly, with heating temperature being crucial.
Abstract
We perform high resolution N-body+SPH simulations of isolated Milky-Way-like galaxies and major mergers between them, to investigate the effect of feedback from both an active galactic nucleus (AGN) and supernovae on the galaxy's evolution. Several AGN methods from the literature are used independently and in conjunction with supernova feedback to isolate the most important factors of these feedback processes. We find that in isolated galaxies, supernovae dominate the suppression of star formation but the star formation rate is unaffected by the presence of an AGN. In mergers the converse is true when models with strong AGN feedback are considered, shutting off star formation before a starburst can occur. AGN and supernovae simulated together suppress star formation only slightly more than if they acted independently. This low-level interaction between the feedback processes is due to…
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