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arXiv 1607.02151astro-ph.GA
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Romulus宇宙学模拟:SMBH形成、动力学和吸积模型的物理方法

The Romulus Cosmological Simulations: A Physical Approach to the Formation, Dynamics and Accretion Models of SMBHs

Michael Tremmel, Michael Karcher, Fabio Governato, Marta Volonteri, Tom Quinn, Andrew Pontzen, Lauren Anderson, Jillian Bellovary

摘要:

我们提出了一个新的实现超大质量黑洞(SMBH)的形成,动力学和吸积的大规模并行树+SPH代码,ChaNGa。这种方法改进了在完全宇宙学模拟中对SMBH的建模,允许在整个宇宙时间内对SMBH-星系共同演化进行更详细的分析。我们的计划包括新的,物理动机模型SMBH形成,动力学和星系内的下沉时间尺度,和SMBH吸积旋转支持气体。子网格参数,调节恒星形成(SF)和反馈SMBHs和SNe的优化对一组全面的z = 0星系的尺度关系,使用一种新的,多维的参数搜索。我们已经将我们新的SMBH实现和参数优化纳入一组新的高分辨率,大规模宇宙学模拟称为Romulus。我们目前的初步结果,从我们的旗舰模拟,Romulus 25,表明我们的SMBH模型的结果SF效率,SMBH质量,和全球SF和SMBH吸积的历史在高红移是一致的观察。我们讨论了SMBH物理在塑造大质量星系的演化的重要性,并显示SMBH反馈是如何更有效地调节恒星形成相比,SNe反馈在这个制度。此外,我们还展示了SMBH模型的各个方面与更常见的方法相比如何影响这种演变。最后,我们提出了一个科学的应用程序,这个计划研究的属性和时间演化的一个例子双活动星系核系统,强调我们的方法如何使模拟更好地研究星系的相互作用和SMBH合并的背景下,星系BH共同进化。

英文摘要:

We present a novel implementation of supermassive black hole (SMBH) formation, dynamics, and accretion in the massively parallel tree+SPH code, ChaNGa. This approach improves the modeling of SMBHs in fully cosmological simulations, allowing for a more de- tailed analysis of SMBH-galaxy co-evolution throughout cosmic time. Our scheme includes novel, physically motivated models for SMBH formation, dynamics and sinking timescales within galaxies, and SMBH accretion of rotationally supported gas. The sub-grid parameters that regulate star formation (SF) and feedback from SMBHs and SNe are optimized against a comprehensive set of z = 0 galaxy scaling relations using a novel, multi-dimensional parameter search. We have incorporated our new SMBH implementation and parameter optimization into a new set of high resolution, large-scale cosmological simulations called Romulus. We present initial results from our flagship simulation, Romulus25, showing that our SMBH model results in SF efficiency, SMBH masses, and global SF and SMBH accretion histories at high redshift that are consistent with observations. We discuss the importance of SMBH physics in shaping the evolution of massive galaxies and show how SMBH feedback is much more effective at regulating star formation compared to SNe feedback in this regime. Further, we show how each aspect of our SMBH model impacts this evolution compared to more common approaches. Finally, we present a science application of this scheme studying the properties and time evolution of an example dual AGN system, highlighting how our approach allows simulations to better study galaxy interactions and SMBH mergers in the context of galaxy-BH co-evolution.

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