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首页> 外文期刊>The Astrophysical journal >REDUCING SYSTEMATIC ERROR IN WEAK LENSING CLUSTER SURVEYS*
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REDUCING SYSTEMATIC ERROR IN WEAK LENSING CLUSTER SURVEYS*

机译:减少弱镜头集群调查中的系统错误*

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Weak lensing provides an important route toward collecting samples of clusters of galaxies selected by mass. Subtle systematic errors in image reduction can compromise the power of this technique. We use the B-mode signal to quantify this systematic error and to test methods for reducing this error. We show that two procedures are efficient in suppressing systematic error in the B-mode: (1) refinement of the mosaic CCD warping procedure to conform to absolute celestial coordinates and (2) truncation of the smoothing procedure on a scale of 10'. Application of these procedures reduces the systematic error to 20% of its original amplitude. We provide an analytic expression for the distribution of the highest peaks in noise maps that can be used to estimate the fraction of false peaks in the weak-lensing κ-signal-to-noise ratio (S/N) maps as a function of the detection threshold. Based on this analysis, we select a threshold S/N = 4.56 for identifying an uncontaminated set of weak-lensing peaks in two test fields covering a total area of ~3?deg2. Taken together these fields contain seven peaks above the threshold. Among these, six are probable systems of galaxies and one is a superposition. We confirm the reliability of these peaks with dense redshift surveys, X-ray, and imaging observations. The systematic error reduction procedures we apply are general and can be applied to future large-area weak-lensing surveys. Our high-peak analysis suggests that with an S/N threshold of 4.5, there should be only 2.7 spurious weak-lensing peaks even in an area of 1000?deg2, where we expect ~2000 peaks based on our Subaru fields.
机译:弱透镜为收集按质量选择的星系团样本提供了重要途径。图像缩小中的细微系统错误可能会损害该技术的功能。我们使用B模式信号来量化此系统误差并测试减少此误差的方法。我们显示了两种方法可以有效地抑制B模式下的系统误差:(1)改进马赛克CCD翘曲程序以符合绝对天体坐标;(2)截短平滑程序的比例为10'。这些程序的应用将系统误差减小到其原始幅度的20%。我们提供了噪声图中最高峰分布的解析表达式,可用于估算弱透镜κ信噪比(S / N)图中虚假峰的比例,作为函数的函数。检测阈值。基于此分析,我们选择一个阈值S / N = 4.56,以识别覆盖总面积约3?deg2的两个测试场中未污染的一组弱透镜峰。这些字段合在一起包含高于阈值的七个峰。其中有六个是可能的星系系统,一个是叠加系统。我们通过密集的红移测量,X射线和成像观察来确认这些峰的可靠性。我们采用的系统化误差减少程序是通用的,可以应用于未来的大面积弱镜头测量。我们的高峰分析表明,在S / N阈值为4.5的情况下,即使在1000°deg2的区域中也应该只有2.7个虚假的弱透镜峰,根据斯巴鲁油田,我们预计会有2000个峰。

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