Methods for identifying high‐redshift galaxy cluster candidates. Issue 7 (15th October 2019)

• Record Type: Journal Article
• Authors: Pinter, Sandor; Balázs, Lajos G.; Bagoly, Zsolt; Horvath, Istvan; Rácz, István I.; Tóth, Viktor L.
• Other Names: Hudec R. guestEditor.; Urban M. guestEditor.; Nentvich O. guestEditor.
• Is Part Of: Astronomische Nachrichten. Volume 340:Issue 7(2019)
• Page Start: 618
• Page End: 621
• Publication Date: 2019-10-15
• Subjects: galaxies: distances, clusters – methods: statistical – techniques: image processing, photometric; Astronomy -- Periodicals; 520.5
• DOI: 10.1002/asna.201913665
• Languages: English
• ISSNs: 0004-6337

Abstract

Abstract: Recent theories linked long gamma ray bursts (GRBs) to galaxies with rapid star formation or starburst; thus, we expect that long GRBs (LGRBs) are more frequent in midcluster galaxies where mergers and tidal interactions between gas‐rich galaxies are more likely to occur. Yet there is no galaxy cluster known to be associated with LGRBs. We demonstrate that, based on deep, single‐band Subaru Hyper Suprime‐Cam observations, we may provide constraints on photometric redshifts of groups of galaxies. We compare three methods: cosmological approach, pseudoinverse matrix, and random forests to estimate galaxy and quasar redshifts. Comparing our results to spectroscopic redshifts of Sloan Digital Sky Survey's‐detected extragalactic sources, random forests may provide the highest accuracy with as low as 17 percentage error. This is a powerful method to find clusters to place GRB host galaxies in their local environment.