2021
DOI: 10.1093/mnras/stab496
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Supermassive black holes in cosmological simulations I: MBH − M⋆ relation and black hole mass function

Abstract: The past decade has seen significant progress in understanding galaxy formation and evolution using large-scale cosmological simulations. While these simulations produce galaxies in overall good agreement with observations, they employ different sub-grid models for galaxies and supermassive black holes (BHs). We investigate the impact of the sub-grid models on the BH mass properties of the Illustris, TNG100, TNG300, Horizon-AGN, EAGLE, and SIMBA simulations, focusing on the MBH − M⋆ relation and the BH mass fu… Show more

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Cited by 105 publications
(91 citation statements)
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References 166 publications
(408 reference statements)
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“…Further observations of galaxies hosting less massive SMBHs are necessary to confirm this picture statistically. As the coevolution relation is the end product of the complex growth of galaxies and SMBHs, a statistical measurement of this relation at the early universe (see also, e.g., Suh et al 2020;Setoguchi et al 2021) would help constrain the relative cosmological importance of various feeding and feedback processes (Habouzit et al 2021). We also need high-resolution observations sensitive to detailed dynamics, as well as wide-area deep observations sensitive to the surrounding environments, to reveal the driving mechanism of the rapid growth of galaxies and SMBHs in the early universe.…”
Section: Early Coevolution At Z ∼mentioning
confidence: 99%
“…Further observations of galaxies hosting less massive SMBHs are necessary to confirm this picture statistically. As the coevolution relation is the end product of the complex growth of galaxies and SMBHs, a statistical measurement of this relation at the early universe (see also, e.g., Suh et al 2020;Setoguchi et al 2021) would help constrain the relative cosmological importance of various feeding and feedback processes (Habouzit et al 2021). We also need high-resolution observations sensitive to detailed dynamics, as well as wide-area deep observations sensitive to the surrounding environments, to reveal the driving mechanism of the rapid growth of galaxies and SMBHs in the early universe.…”
Section: Early Coevolution At Z ∼mentioning
confidence: 99%
“…In order to better probe the exact epoch and search volume of our observational QSO sample, we carried out a census of bright AGN pairs at z = 6 in the Illustris-TNG300 (hereafter TNG300) and L-Galaxies 2020 galaxy evolution models. TNG300 (Pillepich et al 2018;Springel et al 2018;Naiman et al 2018;Marinacci et al 2018;Nelson et al 2018) is a magneto-hydrodynamical simulation run in a (205 h −1 Mpc) 3 box, using a Bondi-Hoyle-Lyttleton BH accretion model with no boost factor but an assumed BH seed mass of 8 × 10 5 M (see Habouzit et al 2021). L-Galaxies 2020 (Henriques et al 2020) is a semi-analytic model run on the larger (480 h −1 Mpc) 3 Millennium-I box (Springel et al 2005), but with a more simplified phenomenological model of quasar-and radio-mode BH accretion and no BH seed mass (see Croton et al 2006).…”
Section: Comparison To Simulationsmentioning
confidence: 99%
“…Currently, cosmologicalscale simulations typically either focus on quasar properties below z ∼ 5 due to improved statistics (e.g., DeGraf & Sijacki 2017;Bhowmick et al 2019;Habouzit et al 2021) or above z ∼ 7 due to reduced computational limitations (e.g., DiMatteo et al 2017;Tenneti et al 2019;Marshall et al 2020). Zoom-in simulations of halos containing QSOs at z ∼ 6−7 have been performed (e.g.,Costa et al 2014;Lupi et al 2019); however, they do not readily provide statistics on large scales.…”
mentioning
confidence: 99%
“…Such simulations have been successful at producing galaxies in good agreement with the properties of observed galaxies. Nevertheless, discrepancies among the simulations exist and arise from the use of different galaxy and BH subgrid physics (Habouzit et al 2021). The formation of BHs in these simulations does not follow the theoretical prescriptions of BH formation mechanisms.…”
mentioning
confidence: 92%