天体物理建模在暗物质晕弛豫响应中不断演变的角色
The evolving role of astrophysical modelling in dark matter halo relaxation response
AI总结：
本文研究了天体物理建模在宇宙学流体动力学模拟中对暗物质晕弛豫响应的影响，发现线性准绝热弛豫模型在 IllustrisTNG、CAMELS 和 EAGLE 模拟中均适用，且反馈能流和气体状态方程是影响弛豫响应的关键因素。
摘要：
我们研究了不同时期星系中重子天体物理过程对暗物质在晕内径向分布变化的影响，探讨了天体物理建模在宇宙学流体动力学模拟中产生该响应的作用。我们发现，线性准绝热弛豫加上对晕心距离的额外依赖不仅能很好地描述 $z=0$ 时的状态，也能很好地描述 IllustrisTNG 模拟套件中较早时期（$z=1$）的状态，且在 $z=1$ 时参数在更大范围的晕中更具普适性。通过对 CAMELS 项目的大量模拟进行系统分析，我们发现 AGN 和恒星反馈的重子处理对暗物质晕的弛豫响应有强烈影响。特别是，只有控制总反馈能流的参数对弛豫响应有影响，而在固定能流下风速和爆发性对弛豫的影响可忽略。然而，这些参数对弛豫的确切作用取决于红移。我们还通过 EAGLE 物理变化模拟研究了多种重子天体物理过程的作用。虽然这些模拟在反馈效应重要性方面呈现了类似图景，但也揭示出气体状态方程对弛豫响应有最强影响之一，与自相似分析的预期一致。
英文摘要：
We study the change in the radial distribution of dark matter within haloes in response to baryonic astrophysical processes in galaxies at different epochs, investigating the role of astrophysical modeling in cosmological hydrodynamic simulations in producing the response. We find that the linear quasi-adiabatic relaxation with additional dependence on the halo-centric distance provides a good description not only at $z=0$, but also at an earlier epoch ($z=1$) in the IllustrisTNG simulation suite, with parameters being more universal across a much larger variety of haloes at $z=1$ than at $z=0$. Through systematic analysis of a large collection of simulations from the CAMELS project, we find that the baryonic prescriptions for both AGN and stellar feedbacks have a strong influence on the relaxation response of the dark matter halo. In particular, only the parameters controlling the overall feedback energy flux have an effect on the relaxation response, while the wind speed and burstiness have negligible effect on the relaxation at a fixed amount of energy flux. However, the exact role of these parameters on the relaxation depends on the redshift. We also study the role of a variety of baryonic astrophysical processes through the EAGLE physics variation simulations. While these depict a similar picture regarding the importance of feedback effects, they also reveal that the gas equation of state has one of the strongest influences on the relaxation response, consistent with the expectation from self-similar analyses.
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