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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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