A Comparative Study of AGN Feedback Algorithms
James Wurster, Robert J. Thacker

TL;DR
This study compares five different AGN feedback algorithms in galaxy merger simulations, revealing significant differences in black hole growth, gas properties, and galaxy evolution outcomes, highlighting the complexity of modeling AGN feedback.
Contribution
It systematically evaluates five AGN feedback models under identical conditions, identifying key differences and their effects on galaxy merger simulations.
Findings
Accretion rates vary by up to three orders of magnitude across models.
Some models produce black hole-galaxy relations consistent with observations.
Feedback algorithms differently influence gas properties and black hole growth.
Abstract
Modelling AGN feedback in numerical simulations is both technically and theoretically challenging, with numerous approaches having been published in the literature. We present a study of five distinct approaches to modelling AGN feedback within gravitohydrodynamic simulations of major mergers of Milky Way-sized galaxies. To constrain differences to only be between AGN feedback models, all simulations start from the same initial conditions and use the same star formation algorithm. Most AGN feedback algorithms have five key aspects: black hole accretion rate, energy feedback rate and method, particle accretion algorithm, black hole advection algorithm, and black hole merger algorithm. All models follow different accretion histories, with accretion rates that differ by up to three orders of magnitude at any given time. We consider models with either thermal or kinetic feedback, with the…
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