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Image Processing for Weak Lensing

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Presentation on theme: "Image Processing for Weak Lensing"— Presentation transcript:

1 Image Processing for Weak Lensing
Wentao Luo SHAO May 14, 2014 NAOC

2 Contents Weak Gravitational Lensing
Accurate image processing—PSF correction Reconstruct the density field using weak lensing.

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5 Time delay: Deflection angle: Hilbert et al 2009

6 Narayan & Bartelmann 1997

7 Jacobian

8 Narayan & Bartelmann 1997

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10 Point Spread Function

11 <e_psf>~0.45 for SDSS while shear signal ~0.01

12 Methods Traditional methods
2, Re-Gaussianization (Hirata & Seljak 2003) 3, Rounding Kernel (Bernstein & jarvis 2002) 4, Shapelets (Refregier 2000) Jun Zhang 2008; Jun Zhang 2010; Jun Zhang, WTL & Sebastien. Foucaud 2014

13 Re-Gaussianization

14 Rounding Kernel

15 The Structure of Our Pipeline
re-Gaussianized image Input image R HS03 Out put PSF image BJ02 Image convolved with Kernel e+,ex Bernstein & Jarvis 2002; Hirata & Seljak 2003

16 Testing

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18 SHERA Mandelbaum et al 2011 Reality is cruel!!
Deconvole HST psf, re-convolve SDSS PSF SDSS pixelsize+SDSS noise Reality is cruel!!

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20 Jun Zhang Methods

21 GREAT3 Results

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27 Conclusion Accurate image processing is the first step for weak lensing study Simulations to test your pipeline We can use real data to do the comparison among various methods Potential systematic from image itself Moving to real data


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