arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1812.08892astro-ph.GA
收藏

宇宙学模拟中黑洞播种的影响

The impact of black hole seeding in cosmological simulations

Ella Xi Wang, Philip Taylor, Christoph Federrath, Chiaki Kobayashi

摘要:

大多数星系演化的宇宙学模拟都包含了活动星系核(AGN)的反馈,当暗物质晕超过给定的阈值质量时,通常会产生质量为$\geq 10^5\, h^{-1}\, \rm{M}_{\odot}$的黑洞。Taylor & Kobayashi(2014)介绍了一个新的模型,该模型仅基于气体性质在$10^3\, h^{-1}\, \rm{M}_{\odot}$上播种黑洞,并受到宇宙中质量最大的第一颗恒星坍缩导致的黑洞形成通道的激励。我们比较了不同播种方法下暗物质晕质量为$10^{10}\, h^{-1}\, \rm{M}_{\odot}$时的黑洞质量。我们发现,播种气体性质的基础上给出了一个分布的黑洞质量与$\langle \log M_{\rm{BH}} {/ \rm{M}_{\odot}} \rangle = (5.18 \pm 0.54)$时,暗物质晕质量是$10^{10}\, h^{-1}\, \rm{M}_{\odot}$,与其他模拟中使用的{播种标准}。然而,个别星系的演化可能会受到不同播种机制的强烈影响。我们还发现,在一个给定的晕质量的黑洞质量分布的平均值随时间的推移而演变,与较高的质量在较高的红移,指示缩小。我们的结果可以为宇宙学模拟和半解析模型中更多的物理驱动的黑洞和活动星系核反馈模型提供参考。

英文摘要:

Most cosmological simulations of galaxy evolution include active galactic nucleus (AGN) feedback, typically seeding black holes with masses of $\geq 10^5\, h^{-1}\, \rm{M}_{\odot}$ when the dark matter halo exceeds a given threshold mass. Taylor & Kobayashi (2014) introduced a new model, which seeds black holes at $10^3\, h^{-1}\, \rm{M}_{\odot}$ based on gas properties alone, and motivated by the channel of black hole formation due to the collapse of the most massive first stars in the Universe. We compare the black hole mass when the dark matter halo mass is $10^{10}\, h^{-1}\, \rm{M}_{\odot}$ between the different seeding methods. We find that seeding based upon gas properties gives a distribution of black hole masses with $\langle \log M_{\rm{BH}} {/ \rm{M}_{\odot}} \rangle = (5.18 \pm 0.54)$ when dark matter halo mass is $10^{10}\, h^{-1}\, \rm{M}_{\odot}$, consistent with the {seeding criteria} used in other simulations. However, the evolution of individual galaxies can be strongly affected by the different seeding mechanisms. We also find that the mean value of the distribution of black hole masses at a given halo mass evolves over time, with higher masses at higher redshifts, indicative of downsizing. Our results can inform more physically motivated black hole and AGN feedback models in cosmological simulations and semi-analytic models.

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。

↑