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arXiv 1108.4372astro-ph.CO
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SDSS DR7超星系团。主成分分析

SDSS DR7 superclusters. Principal component analysis

M. Einasto, L. J. Liivamagi, E. Saar, J. Einasto, E. Tempel, E. Tago, V. J. Martinez

摘要:

我们应用主成分分析和斯皮尔曼相关检验来研究SDSS DR 7超星系团的性质。我们分析了超星系团目录中可能存在的选择效应,研究了超星系团的物理和形态性质,找到了它们可能的子集,并确定了超星系团的标度关系。我们发现超星系团的参数与它们的距离无关。超星系团的物理性质和形态性质之间有很强的相关性。超星系团可以根据它们的总光度分为两类。高光度超星系团形成两组,即形状参数K_1/K_2 < 0.5的较细长系统和K_1/K_2 > 0.5的较细长系统。前两个主成分占超星系团参数方差的90%以上,并定义了基本平面,它表征了超星系团的物理和形态特性。我们使用主成分分析来推导超星系团的标度关系,其中我们结合了超星系团的物理和形态参数。为了更好地理解超星系团的演化和性质,需要对不同宇宙学的结构形成进行模拟,并需要更多关于局域和高红移超星系团的数据。

英文摘要:

We apply the principal component analysis and Spearman's correlation test to study the properties of superclusters drawn from the SDSS DR7. We analyse possible selection effects in the supercluster catalogue, study the physical and morphological properties of superclusters, find their possible subsets, and determine scaling relations for superclusters. We show that the parameters of superclusters do not correlate with their distance. The correlations between the physical and morphological properties of superclusters are strong. Superclusters can be divided into two populations according to their total luminosity. High-luminosity superclusters form two sets, more elongated systems with the shape parameter K_1/K_2 < 0.5 and less elongated ones with K_1/K_2 > 0.5. The first two principal components account for more than 90% of the variance in the supercluster parameters and define the fundamental plane, which characterises the physical and morphological properties of superclusters. We use principal component analysis to derive scaling relations for superclusters, in which we combine the physical and morphological parameters of superclusters. Structure formation simulations for different cosmologies, and more data about the local and high redshift superclusters are needed to understand better the evolution and the properties of superclusters.

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