A merged catalog of clusters of galaxies from early Sloan digital sky survey data

作者：Bahcall NA^*; McKay TA; Annis J; Kim RSJ; Dong F; Hansen S; Goto T; Gunn JE; Miller C; Nichol RC; Postman M; Schneider D; Schroeder J; Voges W; Brinkmann J; Fukugita M

来源：Astrophysical Journal, The - Supplement Series, 2003, 148(2): 243-274.

DOI：10.1086/377167

• catalogs
• cosmology : observations
• cosmology : theory
• galaxies : clusters : general
• large-scale structure of universe

We present a catalog of 799 clusters of galaxies in the redshift range z(est) = 0.05-0.3 selected from similar to400 deg(2) of early Sloan Digital Sky Survey (SDSS) commissioning data along the celestial equator. The catalog is based on merging two independent selection methods-a color-magnitude red-sequence maxBCG technique (B), and a hybrid matched filter method (H). The BH catalog includes clusters with richness Lambda greater than or equal to 40 (matched filter) and N-gal greater than or equal to 13 (maxBCG), corresponding to typical velocity dispersion of sigma(upsilon) greater than or similar to 400 km s(-1) and mass (within 0.6 h(-1) Mpc radius) greater than or similar to5 x 10(13) h(-1) M.. This threshold is below Abell richness class 0 clusters. The average space density of these clusters is 2 x 10(-5) h(3) Mpc(-3). All NORAS X-ray clusters and 53 of the 58 Abell clusters in the survey region are detected in the catalog; the five additional Abell clusters are detected below the BH catalog cuts. The cluster richness function is determined and found to exhibit a steeply decreasing cluster abundance with increasing richness. We derive observational scaling relations between cluster richness and observed cluster luminosity and cluster velocity dispersion; these scaling relations provide important physical calibrations for the clusters. The catalog can be used for studies of individual clusters, for comparisons with other sources such as X-ray clusters and active galactic nuclei, and, with proper correction for the relevant selection functions, also for statistical analyses of clusters.

• 出版日期2003-10