NUMERICAL ESTIMATOR FOR LARGE-SCALE COSMIC STRUCTURES
Journal Title: Odessa Astronomical Publications - Year 2018, Vol 31, Issue
Abstract
Components of large-scale structure (LSS) of Universe includes galaxy clusters , walls , filaments , groups and field galaxies. The question of spatial organization of all these components remains open despite of a number of recently developed methods of LSS analysis. In this paper we introduce new continuous structural parameter of galaxy distribution for the determining of the type of LSS surrounding. This parameter is based on comparison of the radial distribution of galaxies around the certain point with the uniform one. Our method for structure parameter calculation is based on the distribution of 1000 closets galaxies to the selected one. Such number was selected because most galaxy clusters contains up to 1000 galaxies. When we exceed 1000th closest galaxy we will leave possible cluster or filament and will pass to another type of LSS. We suppose that in uniform distribution of galaxies their number should increase as third power a distance, similar to luminosity. Therefore the inverse dependence of galaxy distance from number should be cubic root. New structural parameter was introduced as the difference of this dependence of cubic root. The main type of cosmic surrounding for a galax is defined by the value and the sign of such structural parameter. If a galaxy lies in a cluster the distances of nearby galaxies will be less than cubic root. We integrated distance difference for all 1000 galaxies and get negative structural parameter in this case. If a galaxy lies in a void, the distances of surrounding galaxies will be larger than cubic root. In such case the structural parameter will be positive. New parameter was calculated for sky distribution of SDSS galaxies at distances from 50 to 150 Mpc. Analyzing obtained values, we come to conclusion that our structural parameter can be used for the division of LSS components and extragalactic filament detection.
Authors and Affiliations
A. V. Tugay, N. G. Pulatova, A. D. Zhoga
Keywords
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- EP ID EP603580
- DOI 10.18524/1810-4215.2018.31.144738
- Views 92
- Downloads 0
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