Dark Matter Problem in the Local Supercluster

TL;DR

This paper investigates the distribution of luminous and dark matter in the Local Supercluster by analyzing 1100 galaxy groups selected through an energy-based algorithm.

Contribution

It introduces a method for identifying galaxy groups based on negative total energy, providing new insights into local dark matter distribution.

Findings

Identified 1100 galaxy groups in the Local Supercluster.

Analyzed properties of these groups to infer dark matter distribution.

Abstract

The Local Supercluster is an ideal laboratory to study distribution of luminous and dark matter in the nearby Universe. The 1100 small groups have been selected using algorithm based on assumption that a total energy of physical pair of galaxies must be negative. The properties of the groups have been considered.