Year: 2009
Type: article
Abstract: Clusters of galaxies in most of the previous catalogs have redshifts z ⩽ 0.3. Using the photometric redshifts of galaxies from the Sloan Digital Sky Survey Data Release 6 (SDSS DR6), we identify 39,716 clusters in the redshift range 0.05 < z < 0.6 with more than eight luminous ( M r ⩽ −21) member galaxies. Cluster redshifts are estimated accurately with an uncertainty of less than 0.022. The contamination rate of member galaxies is found to be roughly 20%, and the completeness of member galaxy detection reaches ∼90%. Monte Carlo simulations show that the cluster detection rate is more than 90% for massive ( M 200 > 2 × 10 14 M ☉ ) clusters of z ⩽ 0.42. The false detection rate is ∼5%. We obtain the richness, the summed luminosity, and the gross galaxy number within the determined radius for identified clusters. They are tightly related to the X-ray luminosity and temperature of clusters. Cluster mass is related to the richness and summed luminosity with M 200 ∝ R 1.90±0.04 and M 200 ∝ L 1.64±0.03 r , respectively. In addition, 790 new candidates of X-ray clusters are found by cross-identification of our clusters with the source list of the ROSAT X-ray survey.
Authors: Z. L. Wen, J. L. Han, F. S. Liu
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
Funders: National Science Foundation, U.S. Department of Energy, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, Princeton University, Ohio State University, University of Washington, Johns Hopkins University, University of Pittsburgh, Case Western Reserve University, Drexel University, Universität Basel, University of Portsmouth, New Mexico State University, University of Cambridge, National Natural Science Foundation of China, Chinese Academy of Sciences, Max-Planck-Gesellschaft, Max-Planck-Institut für Astronomie, U.S. Naval Observatory, Fermilab, Los Alamos National Laboratory
Awards: G2350572303, 银河系延展射电源的偏振研究
OpenAlex ID: W2056337017
