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Because critical experimental decisions must be made while an LCLS experiment is in progress, it is important to be able to analyze your data while it is being taken.  The DAQ supports an online GUI that can handle common tasks that is called AMI.  However, often this is not specialized enough for particular experiments.  To handle this case, psana-python allows you to run your analysis code while data is being taken in two different ways, using MPI-parallelization for performance.

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This analysis can be submitted to the batch system as usual, but should use the appropriate "prioq" batch queue as described here (only when either psnehhiprioq/psfehhiprioq batch queue (only when your experiment is actively running) as described here .

Real-Time Analysis Using "Shared Memory"

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