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arXiv 2603.28682astro-ph.GA
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如何在宇宙黎明时期形成超大质量黑洞

How Overmassive Black Holes Formed at Cosmic Dawn

United Arab Emirates University(阿联酋大学);Portsmouth University(朴茨茅斯大学);University of Edinburgh(爱丁堡大学)

Muhammad A. Latif, Daniel J. Whalen, Sadegh Khochfar, Fergus Cullen

AI总结:

研究通过模拟显示,早期宇宙中形成超大质量黑洞的宿主星系通过抑制恒星形成和恒星金属喷射,自然导致黑洞与恒星质量比与观测到的超大质量黑洞一致。

摘要:

在红移z≈10(宇宙大爆炸后450百万年)时,超大质量黑洞星系(OBGs)是詹姆斯·韦伯空间望远镜的最令人困惑的发现之一,因为它们在如此早期形成,且黑洞与恒星质量比是当今星系的100倍。本文表明,OBGs是早期宇宙中原始暗物质晕中形成超大质量黑洞(DCBH)的结果。在我们的宇宙学模拟中,一个70000 M_\odot的DCBH在z=25.7时形成,以约一半的爱丁顿率增长到约6.0×10^6 M_\odot,到z=10.1时。其宿主星系达到恒星质量4×10^8 M_\odot,金属licity Z=0.1 Z_\odot,恒星形成率2 M_\odot yr^{-1},以及M_{BH}/M_∗≈0.01,与OBGs如GN-z11、UHZ1和GHZ9在z=10.6、10.1和10.2时的比值相符。我们的模拟首次追踪了DCBH及其宿主星系数百年内的共演化,显示该比值是早期DCBH抑制恒星形成和后期III型超新星爆发金属喷射的自然结果。我们的模型与UHZ1和GHZ9在z=10.1和10.4时的光谱高度吻合。

英文摘要:

Overmassive black hole galaxies (OBGs) at redshifts $z \sim$ 10, or 450 Myr after the Big Bang, are one of the most puzzling discoveries by the James Webb Space Telescope to date because they formed by such early epochs and their black-hole to stellar mass ratios are a hundred times higher than those in galaxies today. Here we show that OBGs are simply the result of DCBH birth in primordial halos at early times. A 70,000 M$_{\odot}$ DCBH forming at $z =$ 25.7 in our cosmological simulation grows at about half the Eddington rate to $6.0 \times 10^6$ M$_{\odot}$ by $z =$ 10.1. Its host galaxy reaches a stellar mass of $4 \times 10^8$ M$_{\odot}$, a metallicity $Z =$ 0.1 Z$_{\odot}$, a star formation rate of 2 M$_{\odot}$ yr$^{-1}$, and $M_{\rm BH}/M_{\ast}$ $\sim$ 0.01, on par with OBGs like GN-z11, UHZ1, and GHZ9 at $z =$ 10.6, 10.1, and 10.2, respectively. Our simulation, the first to follow the coevolution of a DCBH and its host galaxy for several hundred Myr, shows that this ratio is a natural result of initial suppression of star formation by the DCBH and the later, violent blowout of metals by Pop III supernovae. Our models provide an excellent match to the spectra of UHZ1 and GHZ9 at $z =$ 10.1 and 10.4, respectively.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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