Representing low mass black hole seeds in cosmological simulations: A new sub-grid stochastic seed model
Aklant K Bhowmick, Laura Blecha, Paul Torrey, Rainer Weinberger, Luke, Zoltan Kelley, Mark Vogelsberger, Lars Hernquist, Rachel S. Somerville

TL;DR
This paper introduces a new stochastic sub-grid black hole seed model calibrated from high-resolution simulations, enabling more accurate representation of low-mass black hole seeds in large-scale cosmological simulations.
Contribution
The paper presents a novel, calibrated sub-grid seed model that reproduces detailed gas-based seeding results using simple galaxy mass and environment criteria.
Findings
Mass-based seeding reproduces detailed gas-based results
Environment-based seeding captures merger-driven growth effects
Model applicable to large-volume cosmological simulations
Abstract
The nature of the first seeds of supermassive black holes (SMBHs) is currently unknown, with postulated initial masses ranging from to as low as . However, most existing cosmological simulations resolve BHs only down to . In this work, we introduce a novel sub-grid BH seed model that is directly calibrated from high resolution zoom simulations that can trace the formation and growth of seeds forming in halos with pristine, star-forming gas. We trace the BH growth along merger trees until their descendants reach masses of or . The descendants assemble in galaxies with a broad range of properties (e.g., halo masses ) that evolve with redshift and are sensitive to seed parameters. The results are used to build a new stochastic seeding model that…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Advanced Numerical Analysis Techniques · Numerical methods for differential equations
