Image Deconvolution of XMM-Newton Data

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Presentation transcript:

Image Deconvolution of XMM-Newton Data Tao Song, Steve Sembay Dept. Physics & Astronomy University of Leicester

Overview Introduction Richardson-Lucy Algorithm IDL program Examples Future works

Vela PWNe Chandra EPIC-MOS Deconvolved

Introduction Observed images are usually degraded, i.e. the shape of a target will be distorted by the PSF. Image deconvolution is to recover the original scene from the observed degraded data. Two types of algorithms: empirical (e.g. CLEAN) and theoretical (e.g. Richardson-Lucy) IDL software was developed to do image deconvolution on XMM-Newton data Modified Richardson-Lucy algorithms and blind deconvolution algorithm were tested

Richardson-Lucy Deconvolution where where n is the number of pixels in a image.

IDL program – main panel

IDL program – detail panel

Examples – P0401240501M1S001MIEVLI0000.FIT 1.1’’ per pixel FLAG == 0 CCDNR == 1 PATTERN == 0 50 Iterations 2 = 1.80 PSF Data: PSF_M1_0a_VelaPSR_110208_i3_s1.fits

Examples – P0401240501M1S001MIEVLI0000.FIT Peak: 52277 (Y=244) FWHM: 3.14 (242.37~245.51) Peak: 51398 (X=268) FWHM: 3.29 (266.70~269.99) Peak: 14647 (Y=244) FWHM: 7.45 (240.28~247.73) Peak: 14191 (X=269) FWHM: 8.32 (264.58~272.91)

Examples – P011108001M1S001MIEVLI000.FIT 1.1’’ per pixel FLAG == 0 CCDNR == 1 PATTERN == 0 50 Iterations 2 = 1.33 PSF Data: PSF_M1_0a_VelaPSR_110208_i3_s1.fits

Examples – P011108001M1S001MIEVLI000.FIT Peak: 35000 (Y=235) FWHM: 4.19 (232.96~237.15) Peak: 30031 (X=257) FWHM: 4.39 (254.35~258.74) Peak: 13385 (Y=235) FWHM: 14.18 (227.38~241.56) Peak: 11595 (X=257) FWHM: 13.79 (249.44~263.23)

Examples – blind deconvolution 2 = 1.24 vs. 2 = 1.80 2 = 1.20 vs. 2 = 1.33

Examples – blind deconvolution Output strongly depends on the initial inputs, i.e. observed image and PSF

Examples – blind deconvolution A hint ? (which one is more proper ?)

Examples – blind deconvolution 2 = 1.77 vs. 2 = 1.80 Peak: 56119 (Y=244) FWHM: 3.07 (242.38~245.45) Peak: 54883 (X=268) FWHM: 3.19 (266.71~269.90) Peak: 52277 (Y=244) FWHM: 3.14 (242.37~245.51) Peak: 51398 (X=268) FWHM: 3.29 (266.70~269.99)

Examples – blind deconvolution 2 = 1.33 vs. 2 = 1.33 Peak: 36227 (Y=235) FWHM: 4.17 (232.94~237.10) Peak: 31070 (X=257) FWHM: 4.38 (254.32~258.70) Peak: 35000 (Y=235) FWHM: 4.19 (232.96~237.15) Peak: 30031 (X=257) FWHM: 4.39 (254.35~258.74)

Future works Apply image deconvolution on more XMM-Newton Data More tests on different PSFs (based on the outputs of blind deconvolution) Modifications on original Richardson-Lucy algorithm More functions in the IDL program