论文标题

在富含气体的星系合并中建模超大质量黑洞二进制的积聚和反馈

Modelling the accretion and feedback of supermassive black hole binaries in gas-rich galaxy mergers

论文作者

Liao, Shihong, Johansson, Peter H., Mannerkoski, Matias, Irodotou, Dimitrios, Rizzuto, Francesco Paolo, McAlpine, Stuart, Rantala, Antti, Rawlings, Alexander, Sawala, Till

论文摘要

我们为Ketju代码引入了一种新的模型,以实现超级质量黑洞(SMBH)二进制的积聚和反馈,这使我们能够解决SMBH二进制文件的演变,从而使SCHWARZSCHILD RADII在气体富裕的星系合并中分离。我们的亚网格二元积聚模型将广泛使用的键合 - lyttleton积聚扩展到二元相中,并将优先的质量吸积纳入次级SMBH,这是由小规模流体动力学循环盘模拟的结果动机。我们使用纯热或纯动活动的银河系核(AGN)反馈进行理想化的富含气体的圆盘合并模拟。我们的二元积聚模型提供了更具身体动机的SMBH质量比,这是计算重力波(GW)引起的后坐力速度的关键参数之一。我们模拟的SMBH二进制文件的合并时间尺度在$ t _ {\ rm Merge} {\ sim} {\ sim} 10 $ - $ 400 $ MYR。平面内等质量的星系合并导致最短的合并时间尺度,因为它们经历了最强的星爆,随之而来的高恒星密度导致了迅速的SMBH结合。与热AGN反馈相比,动力学AGN反馈预测了更长的合并时间尺度,并导致更类似核心的恒星曲线,因为它在从星系中心和淬火星形成中清除气体方面更有效。这表明AGN反馈实施在建模SMBH结合体中起着至关重要的作用。我们的模型将有助于改善富含气体星系中SMBH合并的建模,这是即将到来的Lisa GW天文台的主要目标。

We introduce a new model for the accretion and feedback of supermassive black hole (SMBH) binaries to the KETJU code, which enables us to resolve the evolution of SMBH binaries down to separations of tens of Schwarzschild radii in gas-rich galaxy mergers. Our subgrid binary accretion model extends the widely used Bondi--Hoyle--Lyttleton accretion into the binary phase and incorporates preferential mass accretion onto the secondary SMBH, which is motivated by results from small-scale hydrodynamical circumbinary disc simulations. We perform idealised gas-rich disc galaxy merger simulations using pure thermal or pure kinetic active galactic nuclei (AGN) feedback. Our binary accretion model provides more physically motivated SMBH mass ratios, which are one of the key parameters for computing gravitational wave (GW) induced recoil velocities. The merger time-scales of our simulated SMBH binaries are in the range $t_{\rm merge}{\sim} 10$--$400$ Myr. Prograde in-plane equal-mass galaxy mergers lead to the shortest merger time-scales, as they experience the strongest starbursts, with the ensuing high stellar density resulting in a rapid SMBH coalescence. Compared to the thermal AGN feedback, the kinetic AGN feedback predicts longer merger time-scales and results in more core-like stellar profiles, as it is more effective in removing gas from the galaxy centre and quenching star formation. This suggests that the AGN feedback implementation plays a critical role in modelling SMBH coalescences. Our model will be useful for improving the modelling of SMBH mergers in gas-rich galaxies, the prime targets for the upcoming LISA GW observatory.

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