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arXiv 1301.1682astro-ph.CO
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模拟星系团中速度色散与质量的关系:对示踪剂和重子物理的依赖

The relation between velocity dispersion and mass in simulated clusters of galaxies: dependence on the tracer and the baryonic physics

Emiliano Munari, Andrea Biviano, Stefano Borgani, Giuseppe Murante, Dunja Fabjan

摘要:

[摘要]本文分析了从$Λ$ CDM宇宙学N-体和流体动力学模拟中提取的团和群大小的晕的质量与它们的速度色散之间的关系,从$z=2$到$z=0$的不同红移。分析的主要目的是了解重子物理在模拟中的实施如何影响这种关系,即在何种程度上使用的速度色散作为集群质量确定代理重子物理的不完善的知识受到阻碍。在我们的分析中,我们使用了几组不同物理实现的模拟。速度色散是使用三种不同的示踪剂,DM粒子,subhalos,和星系。我们证实,DM粒子跟踪的关系,是完全一致的理论预期的基础上的维里定理和文献中提出的先前的结果。在另一方面,subhalos和星系跟踪陡峭的关系,并具有较大的值的归一化。这种关系意味着星系和subhalos有一个$\sim10$ %的速度偏差相对于DM粒子,这可以是积极的或消极的,这取决于晕质量,红移和物理实现的模拟。我们解释这些差异是由于动力学过程,即动力学摩擦和潮汐破裂,作用于亚结构和星系,但不是DM粒子。这些过程似乎是或多或少有效的,这取决于晕质量和重子冷却的重要性,并可能会创建一个非平凡的依赖性的速度偏置和$\soneD$ - $\Mtwo$关系的示踪剂,晕质量和它的红移。这些结果是相关的应用程序的速度色散作为一个代理集群质量在正在进行的和未来的大红移调查。

英文摘要:

[Abridged] We present an analysis of the relation between the masses of cluster- and group-sized halos, extracted from $Λ$CDM cosmological N-body and hydrodynamic simulations, and their velocity dispersions, at different redshifts from $z=2$ to $z=0$. The main aim of this analysis is to understand how the implementation of baryonic physics in simulations affects such relation, i.e. to what extent the use of the velocity dispersion as a proxy for cluster mass determination is hampered by the imperfect knowledge of the baryonic physics. In our analysis we use several sets of simulations with different physics implemented. Velocity dispersions are determined using three different tracers, DM particles, subhalos, and galaxies. We confirm that DM particles trace a relation that is fully consistent with the theoretical expectations based on the virial theorem and with previous results presented in the literature. On the other hand, subhalos and galaxies trace steeper relations, and with larger values of the normalization. Such relations imply that galaxies and subhalos have a $\sim10$ per cent velocity bias relative to the DM particles, which can be either positive or negative, depending on halo mass, redshift and physics implemented in the simulation. We explain these differences as due to dynamical processes, namely dynamical friction and tidal disruption, acting on substructures and galaxies, but not on DM particles. These processes appear to be more or less effective, depending on the halo masses and the importance of baryon cooling, and may create a non-trivial dependence of the velocity bias and the $\soneD$--$\Mtwo$ relation on the tracer, the halo mass and its redshift. These results are relevant in view of the application of velocity dispersion as a proxy for cluster masses in ongoing and future large redshift surveys.

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