Large Scale Distribution of Galaxies in The Field HS 47.5-22. I. Data Analysis Technique. (arXiv:1911.09138v1 [astro-ph.GA])
<a href="http://arxiv.org/find/astro-ph/1/au:+Grokhovskaya_A/0/1/0/all/0/1">Aleksandra Grokhovskaya</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Dodonov_S/0/1/0/all/0/1">Sergei N. Dodonov</a>
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.
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.
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