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arXiv 0912.2364astro-ph.CO
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SHELS:用红移巡天检验弱透镜映射

SHELS: Testing Weak Lensing Maps with Redshift Surveys

Margaret J. Geller, Michael J. Kurtz, Ian P. Dell'Antonio, Massimo Ramella, Daniel G. Fabricant

摘要:

弱透镜巡天正在成为构造“质量选择”星系团的重要工具。我们评估的效率和完整性相结合的密集,完整的红移调查,史密森Hectospec透镜调查(SHELS),从深透镜调查(DLS)的弱透镜地图弱透镜选择。SHELS在4平方度的DLS场中包含了11,692个R &lt; 20.6的星系的红移;该巡天为确定红移z 3.5的大质量星系团< 0.55. The range of sensitivity of the redshift survey is similar to the range for the DLS convergence map. Only four the twelve convergence peaks with signal-to-noise >对应于M &gt; 1.7 x 10^14太阳质量的星系团提供了坚实的基础。SHELS中的八个大质量星团中有四个在弱透镜图中被检测到,完整性约为50%。我们研究了七个已知的扩展集群X射线源在DLS领域:三个可以检测到的弱透镜映射,三个不应该被检测到没有从叠加的大尺度结构提升,和一个神秘的未检测到,即使它的光学特性表明,它应该产生一个可检测的透镜信号。总之,这些结果强调了需要更广泛的比较不同的方法之间的大规模集群识别。

英文摘要:

Weak lensing surveys are emerging as an important tool for the construction of "mass selected" clusters of galaxies. We evaluate both the efficiency and completeness of a weak lensing selection by combining a dense, complete redshift survey, the Smithsonian Hectospec Lensing Survey (SHELS), with a weak lensing map from the Deep Lens Survey (DLS). SHELS includes 11,692 redshifts for galaxies with R < 20.6 in the four square degree DLS field; the survey is a solid basis for identifying massive clusters of galaxies with redshift z < 0.55. The range of sensitivity of the redshift survey is similar to the range for the DLS convergence map. Only four the twelve convergence peaks with signal-to-noise > 3.5 correspond to clusters of galaxies with M > 1.7 x 10^14 solar masses. Four of the eight massive clusters in SHELS are detected in the weak lensing map yielding a completeness of roughly 50%. We examine the seven known extended cluster x-ray sources in the DLS field: three can be detected in the weak lensing map, three should not be detected without boosting from superposed large-scale structure, and one is mysteriously undetected even though its optical properties suggest that it should produce a detectable lensing signal. Taken together, these results underscore the need for more extensive comparisons among different methods of massive cluster identification.

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