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arXiv 2407.08030astro-ph.COastro-ph.GA
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IllustrisTNG中暗物质晕对星系演化响应的动力学

Dynamics of the response of dark matter halo to galaxy evolution in IllustrisTNG

Premvijay Velmani, Aseem Paranjape

AI总结:

基于IllustrisTNG模拟分析暗物质晕弛豫与星系演化的因果关系,发现恒星形成反馈驱动内晕即时、外晕延迟2至3 Gyr的响应。

摘要:

我们展示了在IllustrisTNG宇宙学流体动力学模拟套件中,暗物质对星系的弛豫响应的动力学演化及其与天体物理性质的联系。结果表明,我们此前工作提出的径向依赖线性弛豫关系模型至少从红移z=5起即可适用。我们聚焦于偏移参数q0,该参数刻画暗物质壳层在不改变所包围质量情况下的弛豫。我们开展了多项时间序列分析,以确定弛豫机制与恒星形成、相关反馈过程以及活动星系核反馈等天体物理过程之间可能的因果联系。结果显示,恒星形成活动在晕的整个演化历史中显著影响晕的弛豫响应:在内晕中基本为即时效应,在外区则存在2至3 Gyr的延迟效应。金属含量与弛豫的联系弱于恒星形成率,但反馈过程累积的风表现出更强的相关性。这些发现增进了我们对晕弛豫机制的理解。我们对暗物质弛豫相关时间尺度的估计,有可能改进现有重子化方案和半解析星系形成模型中对晕轮廓的描述。结果还表明,暗晕的弛豫响应如何能够探测其所承载星系的演化历史。

英文摘要:

We present the dynamical evolution of the dark matter's relaxation response to galaxies and their connection to the astrophysical properties as simulated in the IllustrisTNG suite of cosmological hydrodynamical simulations. Our results show that the radially-dependent linear relaxation relation model from our previous work is applicable at least from redshift $z=5$. We focus on the offset parameter $q_0$, which characterizes the relaxation of dark matter shells without changing the enclosed mass. We perform multiple time-series analyses to determine the possible causal connections between the relaxation mechanism and astrophysical processes such as star formation and associated feedback processes, as well as feedback due to active galactic nuclei. We show that star formation activity significantly influences the halo relaxation response throughout its evolutionary history, with essentially immediate effects in the inner haloes and delayed effects of 2 to 3 Gyr in the outer regions. Metal content shows a weaker connection to relaxation than star formation rates, but the accumulated wind from feedback processes exhibits a stronger correlation. These findings enhance our understanding of halo relaxation mechanisms. Our estimates of the time-scales relevant for dark matter relaxation can potentially improve the description of halo profiles in existing baryonification schemes and semi-analytical galaxy formation models. Our results also show how the relaxation response of dark haloes can probe the evolutionary history of the galaxies they host.

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