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arXiv 1010.5503astro-ph.COstat.COstat.ML
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来自SDSS的55,424个富星系团的PDKEEPAAA星系团目录

A GMBCG Galaxy Cluster Catalog of 55,424 Rich Clusters from SDSS DR7

Jiangang Hao, Timothy A. McKay, Benjamin P. Koester, Eli S. Rykoff, Eduardo Rozo, James Annis, Risa H. Wechsler, August Evrard, Seth R. Siegel, Matthew Becker, … 展开作者

Jiangang Hao, Timothy A. McKay, Benjamin P. Koester, Eli S. Rykoff, Eduardo Rozo, James Annis, Risa H. Wechsler, August Evrard, Seth R. Siegel, Matthew Becker, Michael Busha, David Gerdes, David E. Johnston, Erin Sheldon

摘要:

我们提出了一个大的目录光学选择星系团从应用程序的一个新的高斯混合Brilliant星系团星系(GMBCG)算法SDSS数据Release 7数据。该算法通过识别红色序列加Brilliant Cluster Galaxy(BCG)特征来检测星系团,该特征对于星系团是唯一的,并且不存在于场星系中。利用误差校正高斯混合模型检测颜色空间中的红色序列聚类。我们在SDSS DR 7的8240平方度光度数据上运行GMBCG,以汇集有史以来最大的光学星系团目录,包括超过55,000个丰富的星系团,其红移范围从0.1 < z < 0.55。我们目前的Monte Carlo测试的完整性和纯度,并进行交叉匹配与X射线团簇和maxBCG样品在低红移。这些测试表明,在整个红移范围内,具有15个或更多成员的星系团具有很高的完整性和纯度。

英文摘要:

We present a large catalog of optically selected galaxy clusters from the application of a new Gaussian Mixture Brightest Cluster Galaxy (GMBCG) algorithm to SDSS Data Release 7 data. The algorithm detects clusters by identifying the red sequence plus Brightest Cluster Galaxy (BCG) feature, which is unique for galaxy clusters and does not exist among field galaxies. Red sequence clustering in color space is detected using an Error Corrected Gaussian Mixture Model. We run GMBCG on 8240 square degrees of photometric data from SDSS DR7 to assemble the largest ever optical galaxy cluster catalog, consisting of over 55,000 rich clusters across the redshift range from 0.1 < z < 0.55. We present Monte Carlo tests of completeness and purity and perform cross-matching with X-ray clusters and with the maxBCG sample at low redshift. These tests indicate high completeness and purity across the full redshift range for clusters with 15 or more members.

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