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Representing low mass black hole seeds in cosmological simulations: A new sub-grid stochastic seed model (2309.15341v1)

Published 27 Sep 2023 in astro-ph.GA

Abstract: The nature of the first seeds of supermassive black holes (SMBHs) is currently unknown, with postulated initial masses ranging from $\sim105~M_{\odot}$ to as low as $\sim102~M_{\odot}$. However, most existing cosmological simulations resolve BHs only down to $\sim105-106~M_{\odot}$. 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 $\sim 103~M_{\odot}$ seeds forming in halos with pristine, star-forming gas. We trace the BH growth along merger trees until their descendants reach masses of $\sim104$ or $105~M_{\odot}$. The descendants assemble in galaxies with a broad range of properties (e.g., halo masses $\sim107-109~M_{\odot}$) that evolve with redshift and are sensitive to seed parameters. The results are used to build a new stochastic seeding model that directly seeds these descendants in lower resolution versions of our zoom region. Remarkably, we find that by seeding the descendants simply based on total galaxy mass, redshift and an environmental richness parameter, we can reproduce the results of the detailed gas based seeding model. The baryonic properties of the host galaxies are well reproduced by the mass-based seeding criterion. The redshift-dependence of the mass-based criterion captures the influence of halo growth, star formation and metal enrichment on seed formation. The environment based seeding criterion seeds the descendants in rich environments with higher numbers of neighboring galaxies. This accounts for the impact of unresolved merger dominated growth of BHs, which produces faster growth of descendants in richer environments with more extensive BH merger history. Our new seed model will be useful for representing a variety of low mass seeding channels within next generation larger volume uniform cosmological simulations.

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