We present the results of methodological works on automated analysis of the large scale distribution of galaxies. Selecting candidates for clusters and groups of galaxies was carried out using two complementary methods of determining the density contrast maps in the narrow layers of the three-dimensional large scale distribution of galaxies: the filtering algorithm with an adaptive core and the Voronoi tesselation. The developed algorithms were tested on 10 data sets of the MICE model catalog; additionally, we determined the statistical parameters of the obtained results (completeness, sample purity, etc.). The constructed density contrast maps were also used to determine voids.

中文翻译：

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HS 47.5-22领域中星系的大规模分布。一，数据分析技术

我们介绍了自动分析星系大规模分布的方法学结果。使用确定星系三维大规模分布的狭窄层中密度对比图的两种互补方法，为星系团和星系组选择候选对象：具有自适应核心的滤波算法和Voronoi镶嵌。在MICE模型目录的10个数据集上测试了开发的算法；此外，我们确定了获得结果的统计参数（完整性，样品纯度等）。构造的密度对比图也用于确定空隙。