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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
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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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--------- | 1 | 0 | ----+---- | 2 | 3 | --------- |
Arc mask
| Code Block |
|---|
Wedge 871 879 454 26 -174 186 1 k False False |
...
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.
...
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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