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Table of Contents |
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Mask
Geometry center
ix_cent, iy_cent = det.point_indexes(runnum)
879, 871 (then x and y are swapped to Cartesian system).
Equatorial mask
Mask parameters
Code Block |
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Wedge 871 879 454 387 148 196 1 k False False Wedge 871 879 454 387 -27 21 1 k False False |
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Code Block |
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t = pars[0] # figure type, ex. 'Wedge' x = float(pars[1]) # x coordinate of the wedge center y = float(pars[2]) # y coordinate of the wedge center r = float(pars[3]) # 1-st radius of the wedge w = float(pars[4]) # radial width of the wedge t1 = float(pars[5]) # 1-st angle t2 = float(pars[6]) # 2-nd angle lw = int(pars[7]) # line width col = str(pars[8]) # color s = self.dicBool[pars[9].lower()] # isSelected boolean parameter rem = self.dicBool[pars[10].lower()] # isRemoved - helper parameter |
Involved sensors in adopted cxif5315 geometry: 0, 1, 9,15, 16,17, 25,31
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Code Block |
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--------- | 1 | 0 | ----+---- | 2 | 3 | --------- |
Arc mask
Code Block |
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Wedge 871 879 454 26 -174 186 1 k False False |
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Involved sensors in the top part of the image in adopted cxif5315 geometry: 0, (1), 7, 8, (9), 15
Equatorial and arc combined mask
Radial background subtraction
For some reason polarization correction does not work well in this experiment for entire image.
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SIngle angular bin still works fine in our ROI defined by both masks.
Comparison of the pfv2 with Cheetah list of peaks
Number of peak:
- total in Cheetah: 14005.0
- matched: 10593
- not-matched: 3412
- fraction of matched: 0.756
References
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