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题名: Testing PSF Interpolation in Weak Lensing with Real Data
作者: Lu, Tianhuan; Zhang, Jun; Dong, Fuyu; Li, Yingke; Liu, Dezi; Fu, Liping; Li, Guoliang; Fan, Zuhui
刊名: ASTRONOMICAL JOURNAL
出版日期: 2017
卷号: 153, 期号:4, 页码:197-
英文摘要: Reconstruction of the point-spread function (PSF) is a critical process in weak lensing measurement. We develop a real-data based and galaxy-oriented pipeline to compare the performances of various PSF reconstruction schemes. Making use of a large amount of the CFHTLenS data, the performances of three classes of interpolating schemes-polynomial, Kriging, and Shepard-are evaluated. We find that polynomial interpolations with optimal orders and domains perform the best. We quantify the effect of the residual PSF reconstruction error on shear recovery in terms of the multiplicative and additive biases, and their spatial correlations using the shear measurement method of Zhang et al. We find that the impact of PSF reconstruction uncertainty on the shear-shear correlation can be significantly reduced by cross correlating the shear estimators from different exposures. It takes only 0.2 stars (S/N greater than or similar to > 100) per square arcmin on each exposure to reach the best performance of PSF interpolation, a requirement that is satisfied in most of the CFHTlenS data.
语种: 英语
内容类型: 期刊论文
URI标识: http://libir.pmo.ac.cn/handle/332002/17495
Appears in Collections:星系宇宙学和暗能量研究团组_期刊论文

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