星系团质量和标度关系确定中的隐含先验
Implicit Priors in Galaxy Cluster Mass and Scaling Relation Determinations
摘要：
通过观测团内介质（ICM）来推导星系团的总质量，除了流体静力平衡和球对称的假设外，通常还需要一些先验信息。通常，这些信息采取用于描述团簇气体密度和温度分布的特定参数化函数的形式。在本文中，我们调查的隐式先验流体静力学质量，从这个完全参数化的方法，以及这些先验的影响，从这些质量形成的标度关系。我们表明，这种完全参数化的ICM模型的应用自然会对导出的尺度关系的斜率施加先验，有利于自相似模型，并认为这种先验在实践中可能是有影响力的。相比之下，这种偏见不存在的技术，采用了一个明确的前的形式的质量配置文件，但描述ICM非参数。在文献中的集群质量-温度关系的斜率上的约束显示了基于所采用的方法的分离，从全参数ICM建模聚类接近自相似值的结果。鉴于标度关系分析的主要目标是测试自相似模型，应避免应用受强隐式先验影响的方法。讨论了替代方法和最佳做法。
英文摘要：
Deriving the total masses of galaxy clusters from observations of the intracluster medium (ICM) generally requires some prior information, in addition to the assumptions of hydrostatic equilibrium and spherical symmetry. Often, this information takes the form of particular parametrized functions used to describe the cluster gas density and temperature profiles. In this paper, we investigate the implicit priors on hydrostatic masses that result from this fully parametric approach, and the implications of such priors for scaling relations formed from those masses. We show that the application of such fully parametric models of the ICM naturally imposes a prior on the slopes of the derived scaling relations, favoring the self-similar model, and argue that this prior may be influential in practice. In contrast, this bias does not exist for techniques which adopt an explicit prior on the form of the mass profile but describe the ICM non-parametrically. Constraints on the slope of the cluster mass--temperature relation in the literature show a separation based the approach employed, with the results from fully parametric ICM modeling clustering nearer the self-similar value. Given that a primary goal of scaling relation analyses is to test the self-similar model, the application of methods subject to strong, implicit priors should be avoided. Alternative methods and best practices are discussed.
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