A refined sub-grid model for black hole accretion and AGN feedback in large cosmological simulations
Lisa K. Steinborn, Klaus Dolag, Michaela Hirschmann, M. Almudena, Prieto, Rhea-Silvia Remus

TL;DR
This paper introduces an advanced sub-grid model for black hole accretion and AGN feedback in large cosmological simulations, improving the realism of galaxy and black hole population predictions.
Contribution
The model incorporates detailed AGN feedback processes, parameter dependencies on black hole properties, and distinguishes hot and cold gas accretion, enhancing simulation accuracy.
Findings
Better reproduction of observed black hole mass function.
More realistic galaxy populations with appropriate star formation suppression.
Consistent baryon conversion efficiencies across mass ranges.
Abstract
In large scale cosmological hydrodynamic simulations simplified sub-grid models for gas accretion onto black holes and AGN feedback are commonly used. Such models typically depend on various free parameters, which are not well constrained. We present a new advanced model containing a more detailed description of AGN feedback, where those parameters reflect the results of recent observations. The model takes the dependency of these parameters on the black hole properties into account and describes a continuous transition between the feedback processes acting in the so-called radio-mode and quasar-mode. In addition, we implement a more detailed description of the accretion of gas onto black holes by distinguishing between hot and cold gas accretion. Our new implementations prevent black holes from gaining too much mass, particularly at low redshifts so that our simulations are now very…
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