Run9 Dijet Pt Correction Test
1. Variable Choice:
Jet1: Barrel Jet
Jet2: Endcap Jet
From the plots here: run9dijetPtCorrectionTMVAVariableTest.pdf run9dijetPtCorrectionTMVAVariableTestV2.pdf
I decide to choose Jet2_Pt, Jet2_detEta, Jet1_Pt as the variables in the following studies.
Data sample used: Barrel-Endcap dijet, to faciliate my study, I only use the dijet events which have JP2 endcap jet.
Randomly divide the data sample into two, one for training, the other for testing.
2. Method choice:
Boost Decision Tree(BDT)
1). BDT with Boosting type: Adaboost
run9dijetPtCorrectionTMVAParameterBDTAda.pdf
2). BDT with Boosting type: AdaboostR2
run9dijetPtCorrectionTMVAParameterBDTAdaR2.pdf
3). BDT with Boosting type: Gradient (User Manual: Gradient may not perform very well for regression problems)
run9dijetPtCorrectionTMVAParameterBDTG_test.pdf
Conclusion:
run9dijetPtCorrectionTMVABDT_Conclusion.pdf
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