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In LCLS-II calibration constants resides in the data bases. Access to the DB can be done through python API, CLI, and GUI. At regular deployment calibration constants goes in two databases designated  for experiment and for detector. In regular request for calibration constants experimental DB is addressed first, then if constants not found, the detector DB is included in search. These features are sufficient for regular operations with detectors.

Calibration DB names

Calibration constantconstants on MongoDB server are grouped in databases identified by their names

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Constants can be deployed with commands cdb and epix10ka_deploy_constants, see for detail in psana environment:

  • cdb -h
  • epix10ka_deploy_constants -h

for example

  • cdb add -e rixx45619 -d epixhr2x2_000001 -t 2021-10-01T00:00:00-0800 -c pedestals -f mypeds
  • cdb add -e rixx45619 -d epixhr2x2_000001 -t 2021-10-01T00:00:00-0800 -c geometry -f mygeo -i txt
  • epix10ka_deploy_constants -e rixx45619 -d epixhr -r121 -D

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Browsing and management of constants in calibration DB can be done with command

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Get corrected data

Example of script to get raw and corrected data where usage of calibration  constants is hidden in det.raw.calib/image methods,in psana environment:

Code Block
from psana import DataSource
ds = DataSource(exp='rixx45619', run=121)
det = run.Detector('epixhr')
raw = det.raw.raw(evt)
arr = det.raw.calib(evt)
img = det.raw.image(evt)

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For details see Area Detector Interface - Calibration Constants

All detector calibration constants (np.array) and associated metadata (dict) are available through the dictionary det.calibconst with calibration type as a key. For example,

peds, meta = det.calibconst['pedestals']

Possible calibration types: pedestals, pixel_status,  pixel_rms,  pixel_gain, pixel_mask, etc.

References