PMO OpenIR
The point spread function reconstruction by using Moffatlets – I
Li Baishun1; Li Guoliang1; Cheng Jun2; Peterson John2; Cui Wei2
2016
Source PublicationResearch in Astronomy and Astrophysics
ISSN1674-4527
Volume16Issue:9Pages:139
AbstractShear measurement is a crucial task in current and future weak lensing survey projects. The reconstruction of the point spread function (PSF) is one of the essential steps involved in this process. In this work, we present three different methods, Gaussianlets, Moffatlets and Expectation Maximization Principal Component Analysis (EMPCA), and quantify their efficiency on PSF reconstruction using four sets of simulated Large Synoptic Survey Telescope (LSST) star images. Gaussianlets andMoffatlets are two different sets of basis functions whose profiles are based on Gaussian and Moffat functions respectively. EMPCA is a statistical method performing an iterative procedure to find the principal components (PCs) of an ensemble of star images. Our tests show that: (1) Moffatlets always perform better than Gaussianlets. (2) EMPCA is more compact and flexible, but the noise existing in the PCs will contaminate the size and ellipticity of PSF. By contrast, Moffatlets keep the size and ellipticity very well.
Language英语
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/30928
Collection中国科学院紫金山天文台
Affiliation1.中国科学院紫金山天文台
2.普渡大学
First Author Affilication中国科学院紫金山天文台
Recommended Citation
GB/T 7714
Li Baishun,Li Guoliang,Cheng Jun,等. The point spread function reconstruction by using Moffatlets – I[J]. Research in Astronomy and Astrophysics,2016,16(9):139.
APA Li Baishun,Li Guoliang,Cheng Jun,Peterson John,&Cui Wei.(2016).The point spread function reconstruction by using Moffatlets – I.Research in Astronomy and Astrophysics,16(9),139.
MLA Li Baishun,et al."The point spread function reconstruction by using Moffatlets – I".Research in Astronomy and Astrophysics 16.9(2016):139.
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