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arXiv 1609.03571astro-ph.GA
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Z~2以来典型成星星系及其超大质量黑洞跨宇宙时间的生长

The growth of typical star-forming galaxies and their super massive black holes across cosmic time since z~2

João Calhau, David Sobral, Andra Stroe, Philip Best, Ian Smail, Bret Lehmer, Chris Harrison, Alasdair Thomson

摘要:

要了解星系形成和演化,就需要研究星系成长与其黑洞成长之间的相互作用。在这里,我们探讨了一个样本的Ha-selected恒星形成的星系从HiZELS调查和使用的财富,在宇宙领域的多波长数据(X射线,远红外和无线电),研究典型的星系和他们的中央超大质量黑洞之间的相对增长率,从z=2.23到z=0。z~1-2处的典型恒星形成星系的黑洞吸积率(BHARs)为0.001-0.01兆太阳/年,恒星形成率(SFR)为~10-40兆太阳/年,因此其恒星质量的增长速度比其黑洞质量快得多(快~3.3个数量级)。然而,约3%的样本(直接在X射线中检测到的源)显示出黑洞质量的显著更快增长(比典型源快1.5个数量级)。BHAR从z=2.23下降到z=0,下降类似于恒星形成率密度或典型的SFR。我们发现,平均黑洞星系的增长(BHAR/SFR)是近似恒定的恒星形成星系在过去的11个Gyrs。相对恒定的BHAR/SFR表明,这两个量在宇宙时间中等价地演化,并且两者之间几乎没有延迟。

英文摘要:

Understanding galaxy formation and evolution requires studying the interplay between the growth of galaxies and the growth of their black holes across cosmic time. Here we explore a sample of Ha-selected star-forming galaxies from the HiZELS survey and use the wealth of multi-wavelength data in the COSMOS field (X-rays, far-infrared and radio) to study the relative growth rates between typical galaxies and their central supermassive black holes, from z=2.23 to z=0. Typical star-forming galaxies at z~1-2 have black hole accretion rates (BHARs) of 0.001-0.01 Msun/yr and star formation rates (SFRs) of ~10-40 Msun/yr, and thus grow their stellar mass much quicker than their black hole mass (~3.3 orders of magnitude faster). However, ~3% of the sample (the sources detected directly in the X-rays) show a significantly quicker growth of the black hole mass (up to 1.5 orders of magnitude quicker growth than the typical sources). BHARs fall from z=2.23 to z=0, with the decline resembling that of star formation rate density or the typical SFR. We find that the average black hole to galaxy growth (BHAR/SFR) is approximately constant for star-forming galaxies in the last 11 Gyrs. The relatively constant BHAR/SFR suggests that these two quantities evolve equivalently through cosmic time and with practically no delay between the two.

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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