A catalog of galaxy clusters identified from SCUSS, SDSS, and unWISE
Jinghua Gao, Hu Zou, Xu Zhou, Xu Kong

TL;DR
This paper catalogs over 19,600 galaxy clusters from combined SCUSS, SDSS, and unWISE data using a fast clustering algorithm, providing a valuable resource for cosmological studies.
Contribution
It introduces a new catalog of galaxy clusters identified from multiple surveys with improved detection and characterization methods.
Findings
Total of 19,610 clusters identified
False detection rate approximately 8.9%
Redshift uncertainty around 0.013
Abstract
This paper presents the identification of galaxy clusters from the photometric redshift catalog based on three imaging surveys of SCUSS, SDSS, and unWISE. By applying a fast clustering algorithm, we obtain a total of 19,610 clusters in the redshift range of over a sky area of about 3,700 deg in the south Galactic gap. Monte Carlo simulations show that the false detection rate is about 8.9\%. The redshift uncertainty is estimated to be about 0.013. The mass and richness of detected clusters are derived through the calibration based on the measurements of X-ray emission and Sunyaev--Zel'dovich effect.
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