C

A. Dubey, C. Daley, J. Zuhone, P. Ricker, K. Weide, C. Graziani
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Abstract

Although supermassive black holes (SMBHs) play an important role in galaxy and cluster evolution, at present they can only be included in large-scale cosmological simulation via subgrid techniques. However, these subgrid models have not been studied in a systematic fashion. Using a newly developed fast, parallel spherical overdensity halo finder built into the simulation code FLASH, we perform a suite of dark matter-only cosmological simulations to study the effects of subgrid model choice on relations between SMBH mass and dark matter halo mass and velocity dispersion. We examine three aspects of SMBH subgrid models: the choice of initial black hole seed mass, the test for merging two black holes, and the frequency of applying the subgrid model. We also examine the role that merging can play in determining the relations, ignoring the complicating effects of SMBH-driven accretion and feedback. We find that the choice of subgrid model can dramatically affect the black hole merger rate, the cosmic SMBH mass density, and the low-redshift relations to halo properties. We also find that it is possible to reproduce observations of the low-redshift relations without accretion and feedback, depending on the choice of subgrid model.
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C
超大质量黑洞(SMBHs)在星系和星系团演化中发挥着重要作用,但目前只能通过亚网格技术将其纳入大尺度宇宙学模拟中。然而,这些子网格模型还没有被系统地研究过。利用新开发的快速、平行球形超密度光晕探测器内置在模拟代码FLASH中,我们进行了一套纯暗物质宇宙学模拟,研究了子网格模型选择对SMBH质量与暗物质光晕质量和速度色散关系的影响。我们研究了SMBH子网格模型的三个方面:初始黑洞种子质量的选择、两个黑洞合并的测试以及应用子网格模型的频率。我们还研究了合并在确定关系中所起的作用,忽略了smbh驱动的吸积和反馈的复杂影响。我们发现,子网格模型的选择会显著影响黑洞合并率、宇宙SMBH质量密度以及低红移与光晕性质的关系。我们还发现,根据子网格模型的选择,可以在没有吸积和反馈的情况下再现低红移关系的观测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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