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arXiv 1002.2226astro-ph.CO
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南方宇宙学巡天II:来自SZE共同巡天区域70平方度的大质量光选星团

Southern Cosmology Survey II: Massive Optically-Selected Clusters from 70 square degrees of the SZE Common Survey Area

Felipe Menanteau, John P. Hughes, L. Felipe Barrientos, Amruta J. Deshpande, Matt Hilton, Leopoldo Infante, Raul Jimenez, Arthur Kosowsky, Kavilan Moodley, Davi… 展开作者

Felipe Menanteau, John P. Hughes, L. Felipe Barrientos, Amruta J. Deshpande, Matt Hilton, Leopoldo Infante, Raul Jimenez, Arthur Kosowsky, Kavilan Moodley, David Spergel, Licia Verde

摘要:

我们提出了一个目录的105个丰富的和大规模的($M>3\times10^{14}M_{\sun}$)光学选择的星系团从70平方度的公共档案格里兹成像从布兰科4米望远镜获得超过45个夜晚之间的2005年和2007年。我们使用集群的光学衍生的属性来估计光度红移,光学光度,丰富度和质量。我们补充的光学测量与档案XMM牛顿和ROSAT X射线数据,提供额外的亮度和质量的限制上一个温和的部分集群样本。我们的两个星系团显示出中央透镜弧的明确证据;其中一个星系团有一个壮观的大直径,几乎完整的爱因斯坦环围绕着最明亮的星系团星系。这项研究的一个强烈动机是确定预计将显示来自Sunyaev-Zeldovich效应(SZE)的突出信号的大质量星系团,因此可以在阿塔卡马宇宙学望远镜和南极望远镜进行的广域毫米波段调查中检测到。这里提出的光学样本将是有用的验证新的SZE集群候选人从这些调查,测试集群选择功能,并堆叠分析的SZE数据。

英文摘要:

We present a catalog of 105 rich and massive ($M>3\times10^{14}M_{\sun}$) optically-selected clusters of galaxies extracted from 70 square-degrees of public archival griz imaging from the Blanco 4-m telescope acquired over 45 nights between 2005 and 2007. We use the clusters' optically-derived properties to estimate photometric redshifts, optical luminosities, richness, and masses. We complement the optical measurements with archival XMM-Newton and ROSAT X-ray data which provide additional luminosity and mass constraints on a modest fraction of the cluster sample. Two of our clusters show clear evidence for central lensing arcs; one of these has a spectacular large-diameter, nearly-complete Einstein Ring surrounding the brightest cluster galaxy. A strong motivation for this study is to identify the massive clusters that are expected to display prominent signals from the Sunyaev-Zeldovich Effect (SZE) and therefore be detected in the wide-area mm-band surveys being conducted by both the Atacama Cosmology Telescope and the South Pole Telescope. The optical sample presented here will be useful for verifying new SZE cluster candidates from these surveys, for testing the cluster selection function, and for stacking analyzes of the SZE data.

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