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Average
Runs in batch for the data file to get averaged image
ImgAlgos.Tahometer evaluates performance of the batch job
ImgAlgos.PrincetonImageProducer gets image from event as an ndarray object
ImgAlgos.ImgAverage produces file with averaged image for given range of events
ImgAlgos::ImgMaskEvaluation - module is available, but needs to be included in psana.cfg file for evaluation ofconfigured to evaluate masks:

• saturated mask - pixel is considered as saturated if its amplitude exceeds the threshold at least once per run
• noise mask
• combined mask
• - pixel is considered as noisy if its amplitude exceeds the MEAN+5*RMS in 5% of events. The "noise" MEAN and RMS are evaluated for 8 (or less on the boarder) surrounding pixels.

For data processing

Split
ImgAlgos.Tahometer
ImgAlgos.PrincetonImageProducer
ImgAlgos.ImgVsTimeSplitInFiles
ImgAlgos::ImgCalib module is available, but needs to be updated and properly configured in psana.cfg. This module is intended to:

• subtract pedestals obtained for dark run
• account for threshold (LLD) constant or in number of RMS
  ImgAlgos::??? Intensity monitors

Process
Data processing is implemented in stand alone (non-psana) modules
ImgAlgos.CorAna.cpp
ImgAlgos.CorAnaInputParameters.cpp
ImgAlgos.CorAnaData.cpp

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See Weekly progress of the IDPE project for TCE

To-do list

Masks
Evaluation at data pre-processing the noisy and saturated pixel mask ImgAlgos::ImgCalib - needs in update and configuration in psana.cfg

Processing (at psana Split level?)
Account for thresholds in ImgAlgos::ImgCalib - needs in update and configuration in psana.cfg
Intensity monitors: needs to be used at processing in psana Account for thresholds

View Results
geometry for reflected beam
proper combination for total mask in ViewResults.py
fits

ELog
Add submission in ELog using responce ID and Igor's new interface: Python module for posting message into ELog
GlobalUtils: comment/uncomment submission in ELog