The 2MASS redshift survey galaxy group catalogue derived from a graph-theory based friends-of-friends algorithm
T. S. Lambert, R. C. Kraan-Korteweg, T. H. Jarrett, L. M. Macri

TL;DR
This paper introduces a comprehensive galaxy group catalogue derived from the 2MASS Redshift Survey using a novel graph-theory based friends-of-friends algorithm, providing detailed group properties and new candidate groups.
Contribution
It presents a new graph-theory based method for galaxy group identification and creates the most complete all-sky galaxy group catalogue to date.
Findings
Stable and robust catalogue with accurate positions and distances
Recovered all major groups and clusters in the survey
Identified 687 new group candidates not in previous catalogues
Abstract
We present the galaxy group catalogue for the recently-completed 2MASS Redshift Survey (2MRS, Macri2019) which consists of 44572 redshifts, including 1041 new measurements for galaxies mostly located within the Zone of Avoidance. The galaxy group catalogue is generated by using a novel, graph-theory based, modified version of the Friends-of-Friends algorithm. Several graph-theory examples are presented throughout this paper, including a new method for identifying substructures within groups. The results and graph-theory methods have been thoroughly interrogated against previous 2MRS group catalogues and a Theoretical Astrophysical Observatory (TAO) mock by making use of cutting-edge visualization techniques including immersive facilities, a digital planetarium, and virtual reality. This has resulted in a stable and robust catalogue with on-sky positions and line-of-sight distances…
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