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mask = det.mask(par, calib=False, status=True, edges=True, central=True, width=10, wcentral=5, mode=0)
Calibrated data and mask
Image and spectrum for
- nda = calib_epix10ka_any(det, evt)
- nda *= det.mask(par, calib=False, status=True, edges=True, central=True, width=1, wcentral=1, mode=0)
References
mask_geo = det.mask_geo(par, mbits=3, width=10, wcentral=5)wcentralmode 0/1/2 masks zero/four/eight neighbors around each bad pixelindexes=(0,1,2)) # indexes=(0,1,2,3,4)nda *= mask
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