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arXiv 2201.00970astro-ph.GA
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大坂反馈模型II:基于高分辨率模拟的超新星反馈建模

Osaka Feedback Model II: Modeling Supernova Feedback Based on High-Resolution Simulations

Yuri Oku, Kengo Tomida, Kentaro Nagamine, Ikkoh Shimizu, Renyue Cen

摘要:

超新星反馈(SNe)是星系生长的一种重要机制,在星系形成模拟中需要更好的超新星反馈模型。在本文的第一部分中,我们使用一个欧拉流体动力学程序Athena++,当动量和时间被壳层形成时的动量和时间标度时,我们发现了超气泡动量和半径随时间演化的普遍标度关系。在本文的第二部分中,我们开发了一个SN反馈模型的基础上雅典娜++模拟结果利用Voronoi镶嵌周围的每个恒星粒子,并实现到GADGET 3-大坂光滑粒子流体动力学代码。我们的反馈模型被证明是各向同性和保守的能量和动量。我们研究了质量/能量/金属负载因素,发现我们的随机热反馈模型产生的银河外流,携带金属高以上的银道面,但与弱抑制恒星形成。额外的机械反馈进一步抑制了恒星的形成,并使模拟结果与Kennicutt-Schmidt关系的观测结果更好地吻合,所有结果都在观测数据的不确定性范围内。我们认为,热和机械反馈是必要的星系演化的SN反馈模型时,一个单独的SN泡是未解决的。

英文摘要:

Feedback from supernovae (SNe) is an essential mechanism that self-regulates the growth of galaxies, and a better model of SN feedback is still needed in galaxy formation simulations. In the first part of this paper, using an Eulerian hydrodynamic code Athena++, we find universal scaling relations for the time evolution of momentum and radius for a superbubble, when the momentum and time are scaled by those at the shell-formation time. In the second part of this paper, we develop an SN feedback model based on the Athena++ simulation results utilizing Voronoi tessellation around each star particle, and implement it into the GADGET3-Osaka smoothed particle hydrodynamic code. Our feedback model was demonstrated to be isotropic and conservative in terms of energy and momentum. We examined the mass/energy/metal loading factors and find that our stochastic thermal feedback model produced galactic outflow that carries metals high above the galactic plane but with weak suppression of star formation. Additional mechanical feedback further suppressed star formation and brought the simulation results in better agreement with the observations of the Kennicutt--Schmidt relation, with all the results being within the uncertainties of observed data. We argue that both thermal and mechanical feedback are necessary for the SN feedback model of galaxy evolution when an individual SN bubble is unresolved.

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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