An Extended Halo-based Group/Cluster finder: application to the DESI legacy imaging surveys DR8
Xiaohu Yang, Haojie Xu, Min He, Yizhou Gu, Antonios Katsianis,, Jiacheng Meng, Feng Shi, Hu Zou, Youcai Zhang, Chengze Liu, Zhaoyu Wang, Fuyu, Dong, Yi Lu, Qingyang Li, Yangyao Chen, Huiyuan Wang, Houjun Mo, Jian Fu,, Hong Guo, Alexie Leauthaud, Yu Luo, Jun Zhang, Ying Zu

TL;DR
This paper presents an extended halo-based group finder that effectively identifies galaxy groups in the DESI Legacy Surveys DR8, providing a large catalog with accurate group properties for cosmological and galaxy evolution studies.
Contribution
The authors develop and validate a new group finder that uses both photometric and spectroscopic data, improving group detection accuracy and providing a comprehensive galaxy group catalog.
Findings
Successfully identifies over 60% of members in most halos with mass > 10^{12.5} M_sun/h.
Achieves >90% purity for groups with mass > 10^{12} M_sun/h.
Provides a catalog of 5.2 million groups with detailed properties.
Abstract
We extend the halo-based group finder developed by \citet[][]{Yang2005a} to use data {\it simultaneously} with either photometric or spectroscopic redshifts. A mock galaxy redshift survey constructed from a high-resolution N-body simulation is used to evaluate the performance of this extended group finder. For galaxies with magnitude and redshift in the DESI legacy imaging surveys (the Legacy Surveys), our group finder successfully identifies more than 60\% of the members in about of halos with mass . Detected groups with mass have a purity (the fraction of true groups) greater than 90\%. The halo mass assigned to each group has an uncertainty of about 0.2 dex at the high mass end and 0.40 dex at the low mass end. Groups with more than 10 members have a redshift accuracy of .…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
