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• exp=sxrx22915:run=104
• Camp.0:pnCCD.1
• /reg/d/psdm/sxr/sxrx22915/calib/PNCCD::CalibV1/Camp.0:pnCCD.1/
• all plots for event 10

Raw image

Mask

mask = det.mask(evt, calib=True, status=True)

returns a combination of masks

• /reg/d/psdm/sxr/sxrx22915/calib/PNCCD::CalibV1/Camp.0:pnCCD.1/pixel_status/103-end.data
• /reg/d/psdm/sxr/sxrx22915/calib/PNCCD::CalibV1/Camp.0:pnCCD.1/pixel_mask/0-end.data

Image AddedImage Added

Pedestals

Gain

Corrected data

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Standard Detector correction (128 in rows)

raw - pedestal cm in

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rows(128) and columns (512) using mask for square regions

Summary

• Image for raw data has horizontal and vertical stripes
• pedestals and gain, averaged for many images (common mode is averaged to zero), have vertical strips ONLY!
• So, common mode effect gives strong contribution in rows (horizantal strips)
• Median algorithms gives bands in image depending on regions of image brightness

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