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arXiv 1809.03325astro-ph.CO
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利用Einasto暗物质剖面对星系团的物理模拟

Physical modelling of galaxy clusters using Einasto dark matter profiles

Kamran Javid, Yvette C. Perrott, Clare Rumsey, Richard D. E. Saunders

摘要:

我们推导出一个模型的Sunyaev-Zel'dovich数据从一个星系团,使用Einasto配置文件来模拟集群的暗物质组件。这个模型类似于Arcminute Microkelvin Imager(AMI)联盟以前使用的星系团物理模型,该模型使用Navarro-Frenk-White(NFW)剖面模拟暗物质,但Einasto剖面提供了额外的自由度。因此,我们提出了两个物理模型之间的比较,不同的方式,他们的模型暗物质:一个使用NFW配置文件(PM I)和一个使用Einasto配置文件(PM II)。我们说明了模型之间的差异,绘制集群的物理性质作为集群半径的函数。我们生成AMI模拟的集群是\textit{created}和\textit{analysed}与这两个模型。由此我们发现,对于16个模拟中的14个,贝叶斯证据根据Jeffreys尺度对两个模型都没有偏好,而对于另外两个模拟,弱偏好有利于正确的模型。然而,对于从分析中获得的质量估计值,当使用正确模型时,16个聚类中有14个聚类的值在输入值的$1σ$范围内,但当使用不正确模型分析数据时,16个聚类中只有6个聚类的值在输入值的范围内。最后,我们将模型应用于从集群A611与AMI获得的真实数据,并发现质量估计是一致的,除了在PM II的情况下,当应用Einasto形状参数的极值。

英文摘要:

We derive a model for Sunyaev--Zel'dovich data from a galaxy cluster which uses an Einasto profile to model the cluster's dark matter component. This model is similar to the physical models for clusters previously used by the Arcminute Microkelvin Imager (AMI) consortium, which model the dark matter using a Navarro-Frenk-White (NFW) profile, but the Einasto profile provides an extra degree of freedom. We thus present a comparison between two physical models which differ only in the way they model dark matter: one which uses an NFW profile (PM I) and one that uses an Einasto profile (PM II). We illustrate the differences between the models by plotting physical properties of clusters as a function of cluster radius. We generate AMI simulations of clusters which are \textit{created} and \textit{analysed} with both models. From this we find that for 14 of the 16 simulations, the Bayesian evidence gives no preference to either of the models according to the Jeffreys scale, and for the other two simulations, weak preference in favour of the correct model. However, for the mass estimates obtained from the analyses, the values were within $1σ$ of the input values for 14 out of 16 of the clusters when using the correct model, but only in 6 out of 16 cases when the incorrect model was used to analyse the data. Finally we apply the models to real data from cluster A611 obtained with AMI, and find the mass estimates to be consistent with one another except in the case of when PM II is applied using an extreme value for the Einasto shape parameter.

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