银河大气的平衡状态。II.解释和影响

G. Mark Voit, Christopher Carr, Drummond B. Fielding, Viraj Pandya, Greg L. Bryan, Megan Donahue, Benjamin D. Oppenheimer and Rachel S. Somerville
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引用次数: 0

摘要

星系特性与光环质量的比例关系表明,反馈环路可以调节恒星的形成,但对于这些反馈环路是如何起作用的,目前还没有达成共识。为了帮助澄清关于星系尺度反馈的讨论,论文I提出了一个非常简单的超新星反馈模型,称之为极简调节器模型。这篇后续论文解释了这个模型,并讨论了它的影响。该模型本身是一个核算系统,追踪与光环的环星系重子--中心星系的大气--相关的所有质量和能量。该模型平衡态的代数解显示,低质量光环中恒星的形成主要通过扩大这些光环的大气层来进行自我调节,最终形成的恒星质量对星系风的质量负荷特性不敏感。最重要的是超新星能量与环星系气体耦合的比例。然而,仅靠超新星反馈无法扩大较高质晕中的星系大气。根据极简调节器模型,大气收缩危机随之而来,这可能是引发强黑洞反馈的原因。该模型还预言,宇宙学模拟中出现的环银河介质特性应该在很大程度上取决于它们产生的外流的比能量,我们将根据这一预言来解释几种数值模拟的定性特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equilibrium States of Galactic Atmospheres. II. Interpretation and Implications
The scaling of galaxy properties with halo mass suggests that feedback loops regulate star formation, but there is no consensus yet about how those feedback loops work. To help clarify discussions of galaxy-scale feedback, Paper I presented a very simple model for supernova feedback that it called the minimalist regulator model. This follow-up paper interprets that model and discusses its implications. The model itself is an accounting system that tracks all of the mass and energy associated with a halo’s circumgalactic baryons—the central galaxy’s atmosphere. Algebraic solutions for the equilibrium states of that model reveal that star formation in low-mass halos self-regulates primarily by expanding the atmospheres of those halos, ultimately resulting in stellar masses that are insensitive to the mass-loading properties of galactic winds. What matters most is the proportion of supernova energy that couples with circumgalactic gas. However, supernova feedback alone fails to expand galactic atmospheres in higher-mass halos. According to the minimalist regulator model, an atmospheric contraction crisis ensues, which may be what triggers strong black hole feedback. The model also predicts that circumgalactic medium properties emerging from cosmological simulations should depend largely on the specific energy of the outflows they produce, and we interpret the qualitative properties of several numerical simulations in light of that prediction.
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