Identifying galaxy groups at high redshift from incomplete spectroscopic data: I. The group finder and application to zCOSMOS
arXiv:2006.05426 · doi:10.1093/mnras/staa2816
Abstract
Identifying galaxy groups from redshift surveys of galaxies plays an important role in connecting galaxies with the underlying dark matter distribution. Current and future high- spectroscopic surveys, usually incomplete in redshift sampling, present both opportunities and challenges to identifying groups in the high- Universe. We develop a group finder that is based on incomplete redshift samples combined with photometric data, using a machine learning method to assign halo masses to identified groups. Test using realistic mock catalogs shows that of true groups with halo masses are successfully identified, and that the fraction of contaminants is smaller than . The standard deviation in the halo mass estimation is smaller than 0.25 dex at all masses. We apply our group finder to zCOSMOS-bright and describe basic properties of the group catalog obtained.
arXiv comment18 pages, 12 figures, 6 table. MNRAS accepted. Comments are welcomed
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