Abell 2634的质量模型：避免干扰者偏差
Mass modelling of Abell 2634: avoiding the interloper bias
摘要：
以Abell 2634星系团为例，讨论了闯入者对运动学数据的污染及其对质量建模的影响。集群数据揭示了丰富的子结构沿视线。我们证明，它是必要的，以获得一个可靠的集群成员的样本，应用几个独立的方法的干扰者删除。我们目前的三个这样的方法，这是常用的文献中，最近已被广泛测试的模拟数据的结果。其中只有两个导致一致和可靠的星系团的样本。对于这两个，我们提供的最佳拟合NFW密度分布拟合的各向同性的解决方案的Jeans方程的速度色散配置文件的参数。
英文摘要：
Using an example of the Abell 2634 galaxy cluster we discuss the effect of contamination of kinematic data by interlopers and its impact on mass modelling. The cluster data reveal rich substructure along the line of sight. We demonstrate that it is necessary to apply a few independent methods of interloper removal in order to obtain a reliable sample of cluster members. We present results of three such methods which are commonly used in the literature and have been recently extensively tested on simulated data. Only two of them lead to consistent and reliable samples of cluster galaxies. For both of them we provide parameters of the best-fitting NFW density profile by fitting an isotropic solution of the Jeans equation to the velocity dispersion profiles.
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