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1. Run Recon and DQM on the first 10k events in individual evio files.  This phase has one job per evio file, and it also takes the longest amount of time per job
2. Sum the DQM files using hadd and then renormalize the SVT occupancy plots.
3. Add all the DQM root files to the data catalog.  

To run DQM (example uses run 7373):

1. Check to make sure that all the evio files have been copied from the counting house to the mss tape before proceeding
2. Check if the workflow already exists, and view its status.  If the workflow already exists and is running, then stop.  Someone has already started running the workflow.
   •    swif status run-7373-dqm-workflow
3. Logged into one of the ifarm machines at jlab as hps, execute the following commands to create the workflow and run it. (replace runnumber with the actual run number)

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1. •    cd /group/hps/production/dqm/scripts

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1. •    python mkworkflow.py

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1. • 7373 --request

This creates a workflow, generates a group of jsub scripts, adds the jsubs to the workflow, and then runs the workflow.   

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