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arXiv 2311.03491astro-ph.GAastro-ph.CO
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重子物质对暗物质晕的印记:浓度-质量关系及其对暗物质晕和星系性质的依赖

Baryonic Imprints on DM Halos: the concentration-mass relation and its dependence on halo and galaxy properties

Mufan Shao, Dhayaa Anbajagane

AI总结:

研究利用CAMELS模拟量化了暗物质晕浓度-质量关系对五种星系/暗物质晕性质的依赖,构建了非线性模型,并发现忽略选取效应会导致重子印记建模约25%的误差。

摘要:

暗物质晕的浓度-质量关系在宇宙学和天体物理学分析的物质场建模中有着广泛的应用,而纳入星系形成物理的印记对于其稳健使用至关重要。然而,许多分析探测的是围绕由特定暗物质晕/星系性质(而非暗物质晕质量)选取的暗物质晕周围的物质,并且在每种选取选择下的印记可能有所不同。我们采用 CAMELS 模拟套件来量化 $c_{\rm vir}-M_{\rm vir}$(浓度-质量)关系在基于以下五种性质进行选取时的天体物理学和宇宙学依赖性:(i) 速度弥散,(ii) 形成时间,(iii) 暗物质晕自旋,(iv) 恒星质量,以及 (v) 气体质量。我们针对所有性质构建了基于模拟信息的非线性模型,作为暗物质晕质量、红移以及六个宇宙学/天体物理学参数的函数,质量范围为 $M_{\rm vir} \in [10^{11}, 10^{14.5}] M_\odot/h$。在所有暗物质晕性质中存在许多依赖于质量的印记,在不同性质之间有清晰的联系,且参数之间存在非线性耦合。最后,我们提取了暗物质晕子样本的 $c_{\rm vir}-M_{\rm vir}$ 关系,这些子样本在选定性质上散布于平均性质-$M_{\rm vir}$ 关系之上/之下。基于气体质量或恒星质量的选取对 $c_{\rm vir}$ 的天体物理学/宇宙学依赖性有显著影响,而基于其他三种性质中任何一种的选取对宇宙学(天体物理学)依赖性有显著(轻微)影响。我们表明,忽略此类选取效应可能导致 $c_{\rm vir}$ 的重子印记建模出现 $\approx 25\\%$ 的误差。我们针对所有性质的非线性模型已公开发布。

英文摘要:

The halo concentration-mass relation has ubiquitous use in modeling the matter field for cosmological and astrophysical analyses, and including the imprints from galaxy formation physics is tantamount to its robust usage. Many analyses, however, probe the matter around halos selected by a given halo/galaxy property -- rather than by halo mass -- and the imprints under each selection choice can be different. We employ the CAMELS simulation suite to quantify the astrophysics and cosmology dependence of the concentration-mass relation, $c_{\rm vir}-M_{\rm vir}$, when selected on five properties: (i) velocity dispersion, (ii) formation time, (iii) halo spin, (iv) stellar mass, and (v) gas mass. We construct simulation-informed nonlinear models for all properties as a function of halo mass, redshift, and six cosmological/astrophysical parameters, with a mass range $M_{\rm vir} \in [10^{11}, 10^{14.5}] M_\odot/h$. There are many mass-dependent imprints in all halo properties, with clear connections across different properties and non-linear couplings between the parameters. Finally, we extract the $c_{\rm vir}-M_{\rm vir}$ relation for subsamples of halos that have scattered above/below the mean property-$M_{\rm vir}$ relation for a chosen property. Selections on gas mass or stellar mass have a significant impact on the astrophysics/cosmology dependence of $c_{\rm vir}$, while those on any of the other three properties have a significant (mild) impact on the cosmology (astrophysics) dependence. We show that ignoring such selection effects can lead to errors of $\approx 25\%$ in baryon imprint modelling of $c_{\rm vir}$. Our nonlinear model for all properties is made publicly available.

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