2015/10/27 by Yu Rong, Yuan Liu, Shuang-Nan Zhang +1 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Advanced Vision and Imaging #Astrophysics #Biology #Cluster (spacecraft) #Coma Cluster #Computer science #Galaxies: Formation, Evolution, Phenomena #Galaxy #Galaxy cluster #Geometry #Orientation (vector space) #Physics #Protein filament #Redshift #Robotics and Sensor-Based Localization #astro-ph.CO #astro-ph.GA
paper · pdf · doi:10.1093/mnras/stv2516
11 pages, 11 figures. Accepted to MNRAS after moderate expansion to further strengthen the main conlusions of the previous version
arxiv created 2015/10/27 · arxiv updated 2015/10/29 · openalex publication_date 2015/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The orientations of the red galaxies in a filament are aligned with the orientation of the filament. We thus develop a location-alignment-method (LAM) of detecting filaments around clusters of galaxies, which uses both the alignments of red galaxies and their distributions in two-dimensional images. For the first time, the orientations of red galaxies are used as probes of filaments. We apply LAM to the environment of Coma cluster, and find four filaments (two filaments are located in sheets) in two selected regions, which are compared with the filaments detected with the method of Falco et al.. We find that LAM can effectively detect the filaments around a cluster, even with 3σ confidence level, and clearly reveal the number and overall orientations of the detected filaments. LAM is independent of the redshifts of galaxies, and thus can be applied at relatively high redshifts and to the samples of red galaxies without the information of redshifts.