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Cosmological Growth History of Supermassive Black Holes and Demographics in the High-z Universe: Do Lyman-Break Galaxies Have Supermassive Black Holes?

机译:高z宇宙中超质量黑洞和人口统计学的宇宙学增长史:莱曼断裂星系是否有超质量黑洞?

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摘要

We study the demographics of supermassive black holes (SMBHs) in the local and high-z universe with hard X-ray luminosity functions (HXLFs) of AGNs. First, we compare the mass accretion history at z>0 with optical luminosity functions (OLFs) and that with HXLFs. We consider the constraints on parameters of mass accretion (energy conversion efficiency and Eddington ratio) and conclude that the constraints based on HXLFs are more adequate rather than that based on OLFs. The sub-Eddington case is allowed only when we use HXLFs. Next, we estimate the upper limit of the cumulative mass density of SMBHs at any redshifts. For an application, we examine if Lyman-Break galaxies (LBGs) at z=3 already have SMBHs in their centers which is suggested by recent observations. If most of LBGs already has massive SMBHs at z=3, the resultant mass density of SMBHs at z=0 should exceed the observational estimate because such SMBHs should further grow by accretion. We show that the special conditions should be met in order that a large part of LBGs have SMBHs (for example, large energy conversion efficiency and frequent mergers and/or direct formations at z>3). The possibility that nearly all LBGs have SMBHs with large mass ratio, such as M_BH/M_stellar > 0.005, is reliably ruled out.(abridged)
机译:我们研究了具有AGN的硬X射线光度函数(HXLF)的局部和高z宇宙中的超大规模黑洞(SMBH)的人口统计资料。首先,我们将z> 0的质量累积历史与光学发光度函数(OLF)和HXLF进行比较。我们考虑了质量增加参数(能量转换效率和爱丁顿比)的约束条件,并得出结论,基于HXLF的约束比基于OLF的约束更合适。仅当我们使用HXLF时才允许使用sub-Eddington情况。接下来,我们估计任何红移时SMBH的累积质量密度的上限。对于一个应用程序,我们检查z = 3的Lyman-Break星系(LBG)是否已经在其中心具有SMBH,这是最近的观察所表明的。如果大多数LBG在z = 3时已具有大量SMBH,则在z = 0时SMBH的合成质量密度应超过观测值,因为此类SMBH应通过吸积进一步增长。我们表明应满足特殊条件,以便大部分LBG具有SMBH(例如,较大的能量转换效率和频繁的合并和/或z> 3的直接形成)。可靠地排除了几乎所有LBG都有质量比较大的SMBH(例如M_BH / M_stellar> 0.005)的可能性。

著录项

  • 作者

    Hosokawa, T;

  • 作者单位
  • 年度 2004
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 入库时间 2022-08-20 20:41:41

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