Update 'Selection code'
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5c2362a379
commit
a3b832ccd0
@ -245,14 +245,12 @@ runAllEff();
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.q
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.q
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```
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Scan the significance in the MVA cut using the code in [[BDTcutScanner.cpp|BDTcutScanner.cpp]]. Don't mind the 2012 and 2016 tags, they are just dummies
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Scan the significance in the MVA cut using the code in [[BDTcutScanner.cpp|BDTcutScanner.cpp]]. Don't mind the 2012 and 2016 tags, they are just dummies.
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```
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```
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root
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root
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.L BDTcutScanner.cpp+
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.L BDTcutScanner.cpp+
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ScanSignalAndBckgndEstimation("2012",1,0.01,false,false,false,true)
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ScanSignalAndBckgndEstimation("2012",1,0.01,false,false,false,true)
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ScanSignalAndBckgndEstimation("2016",2,0.01,false,false,false,true)
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ScanSignalAndBckgndEstimation("2016",2,0.01,false,false,false,true)
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getMaxBDTresponse("2012",1,true,false,0,false,false)
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getMaxBDTresponse("2016",2,true,false,0,false,false)
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.q
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.q
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```
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```
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@ -261,6 +259,16 @@ Make a nice TGraph from the scan; when creating the scan, it can happen that eg
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python ReorganizeTGraph.py
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python ReorganizeTGraph.py
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```
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Now get nice plots of the maximal significance in the MVA cut using [[BDTcutScanner.cpp|BDTcutScanner.cpp]]. Still don't mind the 2012 and 2016 tags, they are just dummies.
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```
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root
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.L BDTcutScanner.cpp+
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getMaxBDTresponse("2012",1,true,false,0,false,false)
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getMaxBDTresponse("2016",2,true,false,0,false,false)
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.q
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```
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Use the MVA scan to plot the signal yields, apply the MVA cut and compare the yields to the CMS results (see [[SignalStudy.cpp|Signal Study]]). It also creates the tuples used by the [[FCNC fitter|FCNC fitter]] tagged as BDT output selection.
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Use the MVA scan to plot the signal yields, apply the MVA cut and compare the yields to the CMS results (see [[SignalStudy.cpp|Signal Study]]). It also creates the tuples used by the [[FCNC fitter|FCNC fitter]] tagged as BDT output selection.
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```
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```
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root
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root
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