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Statistics/selection/fitting with MonoX Bacon search


1) run skims ....
  root -l skimMetFiles.C

2) fit controls/corrections/systematics/histograms
  root -l buildFullModel.C

3) make plots from the workspace with 
  python makePlot.py config1 config2 ....

4) discover DM

Alternate (better)
  g++ skimMetFilesExec.cpp -I `root-config --incdir` `root-config --libs` -o skimMetFilesExec 
and submit jobs with 
  python baconBatch.py skimMetFilesExec Output_tree.root --args "0:[0,30,1]" -n NJOBS
  python baconBatch.py --monitor sub -q 1nh

Run the model building from python steering (configure categories with categories.py)
  ./makeModel.py categories

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Stats tools for monoX searches

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