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raw
raw = det.raw.raw(evt)
calib
clb = det.raw.calib(evt)
user_mask = np.ones_like(det.raw.raw(evt), dtype=DTYPE_MASK) #np.uint8
user_mask[0,100:150,200:250] = 0
clb = det.raw.calib(evt, cmpars=(7,2,100,10), mbits=0o7, mask=Noneuser_mask, edge_rows=10, edge_cols=10, center_rows=5, center_cols=5, **kwargs)
common mode correction, user defined mask, status mask and mask of edges are applied:
image
img = det.raw.image(evt, **kwargs)
...
where mbits &1 - calib, &2 - status, &4 -edges , &8 - neighbors
Separate masks
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