diff --git a/BackgroundEstimation/data/2022F/l1ETM_2022.txt b/BackgroundEstimation/data/2022F/l1ETM_2022.txt new file mode 100644 index 000000000..a06f70747 --- /dev/null +++ b/BackgroundEstimation/data/2022F/l1ETM_2022.txt @@ -0,0 +1,69468 @@ +run: 359023 name: L1_Mu3er1p5_Jet100er2p5_ETMHF30 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359023 name: L1_Mu3er1p5_Jet100er2p5_ETMHF40 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359023 name: L1_Mu3er1p5_Jet100er2p5_ETMHF50 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359023 name: L1_DoubleMu3_SQ_ETMHF30_HTT60er threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359023 name: L1_DoubleMu3_SQ_ETMHF40_HTT60er threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359023 name: L1_DoubleMu3_SQ_ETMHF50_HTT60er threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359023 name: 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359059 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359059 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 359059 name: L1_ETM120 threshold: 120 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: L1_ETM150 threshold: 150 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: L1_ETMHF70 threshold: 70 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: L1_ETMHF80 threshold: 80 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: L1_ETMHF90 threshold: 90 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: L1_ETMHF100 threshold: 100 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: L1_ETMHF110 threshold: 110 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 359059 name: 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360241 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 360241 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 360241 name: L1_ETM120 threshold: 120 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: L1_ETM150 threshold: 150 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: L1_ETMHF70 threshold: 70 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: L1_ETMHF80 threshold: 80 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: L1_ETMHF90 threshold: 90 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: L1_ETMHF100 threshold: 100 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: L1_ETMHF110 threshold: 110 average_prescale: 0 initial_prescale: 1 final_prescale: 1 +run: 360241 name: 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130 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362167 name: L1_ETMHF120_NotSecondBunchInTrain threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362167 name: L1_ETMHF110_HTT60er_NotSecondBunchInTrain threshold: 110 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_Mu3er1p5_Jet100er2p5_ETMHF30 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_Mu3er1p5_Jet100er2p5_ETMHF40 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_Mu3er1p5_Jet100er2p5_ETMHF50 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF30_HTT60er threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF40_HTT60er threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF50_HTT60er threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF30_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF40_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF50_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF50_Jet60er2p5 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_DoubleMu3_SQ_ETMHF60_Jet60er2p5 threshold: 60 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_SingleJet140er2p5_ETMHF70 threshold: 70 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_SingleJet140er2p5_ETMHF80 threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_SingleJet140er2p5_ETMHF90 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF80_SingleJet55er2p5_dPhi_Min2p1 threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF80_SingleJet55er2p5_dPhi_Min2p6 threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF90_SingleJet60er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF90_SingleJet60er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETM120 threshold: 120 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETM150 threshold: 150 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF70 threshold: 70 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF80 threshold: 80 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF90 threshold: 90 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF100 threshold: 100 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF110 threshold: 110 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF120 threshold: 120 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF130 threshold: 130 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF140 threshold: 140 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF150 threshold: 150 average_prescale: 1.0 initial_prescale: 1 final_prescale: 1 +run: 362169 name: L1_ETMHF70_HTT60er threshold: 70 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF80_HTT60er threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF90_HTT60er threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF100_HTT60er threshold: 100 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF110_HTT60er threshold: 110 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF120_HTT60er threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF130_HTT60er threshold: 130 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF120_NotSecondBunchInTrain threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362169 name: L1_ETMHF110_HTT60er_NotSecondBunchInTrain threshold: 110 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_Mu3er1p5_Jet100er2p5_ETMHF30 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_Mu3er1p5_Jet100er2p5_ETMHF40 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_Mu3er1p5_Jet100er2p5_ETMHF50 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF30_HTT60er threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF40_HTT60er threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF50_HTT60er threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF30_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF40_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF50_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF50_Jet60er2p5 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_DoubleMu3_SQ_ETMHF60_Jet60er2p5 threshold: 60 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_SingleJet140er2p5_ETMHF70 threshold: 70 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_SingleJet140er2p5_ETMHF80 threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_SingleJet140er2p5_ETMHF90 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF80_SingleJet55er2p5_dPhi_Min2p1 threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF80_SingleJet55er2p5_dPhi_Min2p6 threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF90_SingleJet60er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF90_SingleJet60er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETM120 threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETM150 threshold: 150 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF70 threshold: 70 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF80 threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF90 threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF100 threshold: 100 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF110 threshold: 110 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF120 threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF130 threshold: 130 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF140 threshold: 140 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF150 threshold: 150 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF70_HTT60er threshold: 70 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF80_HTT60er threshold: 80 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF90_HTT60er threshold: 90 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF100_HTT60er threshold: 100 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF110_HTT60er threshold: 110 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF120_HTT60er threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF130_HTT60er threshold: 130 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF120_NotSecondBunchInTrain threshold: 120 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362172 name: L1_ETMHF110_HTT60er_NotSecondBunchInTrain threshold: 110 average_prescale: 0.0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_Mu3er1p5_Jet100er2p5_ETMHF30 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_Mu3er1p5_Jet100er2p5_ETMHF40 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_Mu3er1p5_Jet100er2p5_ETMHF50 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF30_HTT60er threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF40_HTT60er threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF50_HTT60er threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF30_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 30 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF40_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 40 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF50_Jet60er2p5_OR_DoubleJet40er2p5 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF50_Jet60er2p5 threshold: 50 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_DoubleMu3_SQ_ETMHF60_Jet60er2p5 threshold: 60 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_SingleJet140er2p5_ETMHF70 threshold: 70 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_SingleJet140er2p5_ETMHF80 threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_SingleJet140er2p5_ETMHF90 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF80_SingleJet55er2p5_dPhi_Min2p1 threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF80_SingleJet55er2p5_dPhi_Min2p6 threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF90_SingleJet60er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF90_SingleJet60er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p1 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF90_SingleJet80er2p5_dPhi_Min2p6 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETM120 threshold: 120 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETM150 threshold: 150 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF70 threshold: 70 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF80 threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF90 threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF100 threshold: 100 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF110 threshold: 110 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF120 threshold: 120 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF130 threshold: 130 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF140 threshold: 140 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF150 threshold: 150 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF70_HTT60er threshold: 70 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF80_HTT60er threshold: 80 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF90_HTT60er threshold: 90 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF100_HTT60er threshold: 100 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF110_HTT60er threshold: 110 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF120_HTT60er threshold: 120 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF130_HTT60er threshold: 130 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF120_NotSecondBunchInTrain threshold: 120 average_prescale: 0 initial_prescale: 0 final_prescale: 0 +run: 362173 name: L1_ETMHF110_HTT60er_NotSecondBunchInTrain threshold: 110 average_prescale: 0 initial_prescale: 0 final_prescale: 0 diff --git a/BackgroundEstimation/plugins/EventL1ETMProducer.cc b/BackgroundEstimation/plugins/EventL1ETMProducer.cc index 10495f24b..447ebb854 100644 --- a/BackgroundEstimation/plugins/EventL1ETMProducer.cc +++ b/BackgroundEstimation/plugins/EventL1ETMProducer.cc @@ -64,6 +64,7 @@ EventL1ETMProducer::beginRun (const edm::Run &run, const edm::EventSetup &set template void EventL1ETMProducer::AddVariables (const edm::Event &event, const edm::EventSetup &setup) { + edm::Handle triggers; event.getByToken (tokenTriggers_, triggers); @@ -155,6 +156,8 @@ EventL1ETMProducer::AddVariables (const edm::Event &event, const edm::EventSe (*eventvariables)["passes_" + additionalFilters_.at (i)] = anatools::triggerObjectExists (event, *triggers, *triggerObjects, additionalCollections_.at (i), additionalFilters_.at (i)); } + + template const string EventL1ETMProducer::tagCollectionParameter () const { diff --git a/BackgroundEstimation/plugins/EventTPProducer.cc b/BackgroundEstimation/plugins/EventTPProducer.cc index 98dfeb216..d63722c8f 100644 --- a/BackgroundEstimation/plugins/EventTPProducer.cc +++ b/BackgroundEstimation/plugins/EventTPProducer.cc @@ -373,8 +373,12 @@ EventTPProducer::passesVeto (const osu::Track &probe) const bool passes = probe.deltaRToClosestPFElectron () > 0.15 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM // Verification Needed ! - bool passes = probe.deltaRToClosestPFElectron () > 0.15 +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM + bool passes = probe.deltaRToClosestElectron () > 0.15 + && probe.caloNewNoPUDRp5CentralCalo () < 10.0 + && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; +#elif DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM + bool passes = probe.deltaRToClosestElectron () > 0.15 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; #else @@ -392,7 +396,9 @@ EventTPProducer::passesLooseVeto (const osu::Track &probe) const bool passes = probe.deltaRToClosestVetoElectron () > 0.15 #if DATA_FORMAT == MINI_AOD_2017 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM // Verification Needed ! +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM + && probe.caloNewNoPUDRp5CentralCalo () < 10.0 +#elif DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 #else && probe.caloNewNoPUDRp5CentralCalo () < 10.0 @@ -404,7 +410,7 @@ EventTPProducer::passesLooseVeto (const osu::Track &probe) const template template bool EventTPProducer::matchedToTag (const osu::Track &probe, const vector &tags) const { - for (const auto tag : tags) { + for (const auto &tag : tags) { if (deltaR (probe, tag) < probeTagMatchingDR_) return true; } return false; @@ -416,8 +422,8 @@ EventTPProducer::passesVeto (const osu::Track &probe) const #if DATA_FORMAT == MINI_AOD_2017 bool passes = probe.deltaRToClosestPFMuon () > 0.15 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; -#elif DATA_FORMAT == MINI_AOD_2022 // Verification Needed ! - bool passes = probe.deltaRToClosestPFMuon () > 0.15 +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM || DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM + bool passes = probe.deltaRToClosestMuon () > 0.15 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; #else bool passes = probe.deltaRToClosestMuon () > 0.15 @@ -443,8 +449,13 @@ EventTPProducer::passesVeto (const osu::Track &probe) c && probe.dRMinJet () > 0.5 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM // Verification needed ! - bool passes = probe.deltaRToClosestPFChHad () > 0.15 +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM + bool passes = probe.deltaRToClosestTauHad () > 0.15 + && probe.dRMinJet () > 0.5 + && probe.caloNewNoPUDRp5CentralCalo () < 10.0 + && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; +#elif DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM + bool passes = probe.deltaRToClosestTauHad () > 0.15 && probe.dRMinJet () > 0.5 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; @@ -464,7 +475,9 @@ EventTPProducer::passesLooseVeto (const osu::Track &pro bool passes = probe.deltaRToClosestVetoElectron () > 0.15 #if DATA_FORMAT == MINI_AOD_2017 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM //Verification needed +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM + && probe.caloNewNoPUDRp5CentralCalo () < 10.0 +#elif DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 #else && probe.caloNewNoPUDRp5CentralCalo () < 10.0 @@ -481,8 +494,13 @@ EventTPProducer::passesVeto (const osu::Track &probe) const && probe.dRMinJet () > 0.5 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM //Verification needed - bool passes = probe.deltaRToClosestPFChHad () > 0.15 +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM + bool passes = probe.deltaRToClosestTauHad () > 0.15 + && probe.dRMinJet () > 0.5 + && probe.caloNewNoPUDRp5CentralCalo () < 10.0 + && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; +#elif DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM + bool passes = probe.deltaRToClosestTauHad () > 0.15 && probe.dRMinJet () > 0.5 && (probe.matchedCaloJetEmEnergy() + probe.matchedCaloJetHadEnergy()) < 10.0 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; diff --git a/BackgroundEstimation/python/ElectronTagProbeSelections.py b/BackgroundEstimation/python/ElectronTagProbeSelections.py index 29378dcd8..6bc6009a4 100644 --- a/BackgroundEstimation/python/ElectronTagProbeSelections.py +++ b/BackgroundEstimation/python/ElectronTagProbeSelections.py @@ -6,7 +6,7 @@ def createHitsVariations (ch, chName): globals ().update (createChannelVariations (ch, chName, None, cutTrkNLayersVariations)) globals ().update (createChannelVariations (ch, chName, cutTrkNValidHitsSignal, cutTrkNValidHitsVariations)) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut (globals ()[chName + 'NHits3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut (globals ()[chName + 'NLayers3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) @@ -26,7 +26,7 @@ def createHitsVariations (ch, chName): cutElectronTightID, cutElectronTightPFIso, ] -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): tagElectronCuts = [ cutMetFilters, cutElectronPt, @@ -203,6 +203,10 @@ def createHitsVariations (ch, chName): ElectronFiducialCalcBeforeInvestigate2018Ineff.name = cms.string("ElectronFiducialCalcBeforeInvestigate2018Ineff") addCuts(ElectronFiducialCalcBeforeInvestigate2018Ineff.cuts, [cutTrkInvestigate2018Ineff]) +ElectronDeepSetsBeforeOldCuts = copy.deepcopy(ElectronFiducialCalcBeforeOldCuts) +ElectronDeepSetsBeforeOldCuts.name = cms.string("ElectronDeepSetsBeforeOldCuts") +addCuts(ElectronDeepSetsBeforeOldCuts.cuts, [cutDeepSets]) + ElectronFiducialCalcAfter = copy.deepcopy(ZtoEleProbeTrkWithZCuts) ElectronFiducialCalcAfter.name = cms.string("ElectronFiducialCalcAfter") addSingleCut(ElectronFiducialCalcAfter.cuts, cutTrkVetoElecVeto, cutEleTrkOS) @@ -216,6 +220,10 @@ def createHitsVariations (ch, chName): replaceSingleCut(ElectronFiducialCalcAfterOldCuts.cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut(ElectronFiducialCalcAfterOldCuts.cuts, cutTrkNValidHits[7], cutTrkNValidHitsSignal) +ElectronDeepSetsAfter = copy.deepcopy(ElectronFiducialCalcBeforeOldCuts) +ElectronDeepSetsAfter.name = cms.string("ElectronDeepSetsAfter") +addCuts(ElectronDeepSetsAfter.cuts, [cutTrkDeepSets]) + ZtoEleDisTrk = copy.deepcopy(ZtoEleProbeTrkWithZCuts) ZtoEleDisTrk.name = cms.string("ZtoEleDisTrk") addSingleCut(ZtoEleDisTrk.cuts, cutTrkNMissOut, cutEleTrkOS) @@ -256,6 +264,8 @@ def createHitsVariations (ch, chName): createHitsVariations (ZtoEleProbeTrkWithSSFilter, "ZtoEleProbeTrkWithSSFilter") createHitsVariations (ZtoEleProbeTrkWithLooseFilter, "ZtoEleProbeTrkWithLooseFilter") createHitsVariations (ZtoEleProbeTrkWithLooseSSFilter, "ZtoEleProbeTrkWithLooseSSFilter") +createHitsVariations (ElectronTagPt35NoJetCuts, "ElectronTagPt35NoJetCuts") +createHitsVariations (ElectronTagPt35NoJetCutsMetTrig, "ElectronTagPt35NoJetCutsMetTrig") # create copies of all above selections with the fiducial electron/muon cuts removed for selection in list (locals ()): diff --git a/BackgroundEstimation/python/EventL1ETMProducer_cfi.py b/BackgroundEstimation/python/EventL1ETMProducer_cfi.py index 59cdf50cd..023a8c3ad 100644 --- a/BackgroundEstimation/python/EventL1ETMProducer_cfi.py +++ b/BackgroundEstimation/python/EventL1ETMProducer_cfi.py @@ -108,7 +108,7 @@ def customizeForL1ETMProducer (producer): print("# Unknown producer type! Cannot set collection for tag lepton.") exit (1) - elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# Using 2022 MET trigger filters in EventL1ETMProducer_cfg.py...") # The items in each vector correspond to the following triggers, in this order: @@ -121,7 +121,7 @@ def customizeForL1ETMProducer (producer): producer.additionalCollections = cms.vstring () producer.additionalFilters = cms.vstring () - producer.l1Prescales = cms.FileInPath ("DisappTrks/BackgroundEstimation/data/l1ETM_2017.txt") #Should be fixed later + producer.l1Prescales = cms.FileInPath ("DisappTrks/BackgroundEstimation/data/l1ETM_2022.txt") #Should be fixed later if producer.type_ () == "EventElectronL1ETMProducer": producer.tagCollection = cms.string ("hltGtStage2Digis:EGamma:HLT") diff --git a/BackgroundEstimation/python/EventMETTriggerProducer_cfi.py b/BackgroundEstimation/python/EventMETTriggerProducer_cfi.py index 95bd1beaa..7c6e60803 100644 --- a/BackgroundEstimation/python/EventMETTriggerProducer_cfi.py +++ b/BackgroundEstimation/python/EventMETTriggerProducer_cfi.py @@ -194,7 +194,7 @@ def customizeForMETTriggerProducer (producer): producer.additionalCollections = cms.vstring(["hltTrk50Filter::HLT"] + [""] * 8) producer.additionalFilters = cms.vstring(["hltTrk50Filter"] + [""] * 8) - elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# Using 2022 MET trigger filters in EventMETTriggerProducer_cfi.py...") #Should be fixed later # Copied from AllTriggers.py, all triggers in the Grand Or selection diff --git a/BackgroundEstimation/python/FiducialMapCalculator.py b/BackgroundEstimation/python/FiducialMapCalculator.py index 4e76f767d..aa7a3f937 100644 --- a/BackgroundEstimation/python/FiducialMapCalculator.py +++ b/BackgroundEstimation/python/FiducialMapCalculator.py @@ -95,6 +95,8 @@ def FindHotSpots(self, beforeVeto, afterVeto): self._meanInefficiency = meanInefficiency self._stdDevInefficiency = stdDevInefficiency + print(f"Standard Dev of Inefficiency: {stdDevInefficiency}, nRegions: {nRegionsWithTag}") + # now find hot spots where the inefficiency is larger than the meanInefficiency by at least threshold * stdDevInefficiency for xbin in range(1, efficiency.GetXaxis().GetNbins()): @@ -265,6 +267,8 @@ def CompareFiducialMap(self): existingMapName += '2017_data.root' elif '2018' in self.Numerator["sample"]: existingMapName += '2017_data.root' # doesn't exist yet, compare to 2017 + elif '2022' in self.Numerator['sample']: + existingMapName += '2017_data.root' #doesn't exist yet, compare to 2017 existingMapFile = TFile(existingMapName, 'read') existingMapDenominator = existingMapFile.Get('beforeVeto') existingMapNumerator = existingMapFile.Get('afterVeto') diff --git a/BackgroundEstimation/python/MuonTagProbeSelections.py b/BackgroundEstimation/python/MuonTagProbeSelections.py index 8c707f776..4caa9cd8a 100644 --- a/BackgroundEstimation/python/MuonTagProbeSelections.py +++ b/BackgroundEstimation/python/MuonTagProbeSelections.py @@ -6,7 +6,7 @@ def createHitsVariations (ch, chName): globals ().update (createChannelVariations (ch, chName, None, cutTrkNLayersVariations)) globals ().update (createChannelVariations (ch, chName, cutTrkNValidHitsSignal, cutTrkNValidHitsVariations)) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut (globals ()[chName + 'NHits3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut (globals ()[chName + 'NLayers3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) @@ -190,7 +190,7 @@ def createHitsVariations (ch, chName): removeCuts(MuonFiducialCalcBefore.cuts, [cutTrk2017LowEfficiencyRegion]) if os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): removeCuts(MuonFiducialCalcBefore.cuts, [cutTrk2018LowEfficiencyRegion]) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): removeCuts(MuonFiducialCalcBefore.cuts, [cutTrkEcalo, cutMuonMatchToTrigObj, cutTrkIso]) #FIXME: Make sure this removal is okay @@ -200,7 +200,7 @@ def createHitsVariations (ch, chName): MuonFiducialCalcBeforeOldCuts = copy.deepcopy(MuonFiducialCalcBefore) MuonFiducialCalcBeforeOldCuts.name = cms.string("MuonFiducialCalcBeforeOldCuts") -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut(MuonFiducialCalcBeforeOldCuts.cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut(MuonFiducialCalcBeforeOldCuts.cuts, cutTrkNValidHits[7], cutTrkNValidHitsSignal) @@ -212,12 +212,12 @@ def createHitsVariations (ch, chName): removeCuts(MuonFiducialCalcAfter.cuts, [cutTrk2017LowEfficiencyRegion]) if os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): removeCuts(MuonFiducialCalcAfter.cuts, [cutTrk2018LowEfficiencyRegion]) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): removeCuts(MuonFiducialCalcAfter.cuts, [cutTrkEcalo, cutMuonMatchToTrigObj, cutTrkIso]) #FIXME: Make sure this removal is okay MuonFiducialCalcAfterOldCuts = copy.deepcopy(MuonFiducialCalcAfter) MuonFiducialCalcAfterOldCuts.name = cms.string("MuonFiducialCalcAfterOldCuts") -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut(MuonFiducialCalcAfterOldCuts.cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut(MuonFiducialCalcAfterOldCuts.cuts, cutTrkNValidHits[7], cutTrkNValidHitsSignal) @@ -260,6 +260,8 @@ def createHitsVariations (ch, chName): createHitsVariations (ZtoMuProbeTrkWithSSFilter, "ZtoMuProbeTrkWithSSFilter") createHitsVariations (ZtoMuProbeTrkWithLooseFilter, "ZtoMuProbeTrkWithLooseFilter") createHitsVariations (ZtoMuProbeTrkWithLooseSSFilter, "ZtoMuProbeTrkWithLooseSSFilter") +createHitsVariations (MuonTagPt35NoJetCuts, "MuonTagPt35NoJetCuts") +createHitsVariations (MuonTagPt35NoJetCutsMetTrig, "MuonTagPt35NoJetCutsMetTrig") # create copies of all above selections with the fiducial electron/muon cuts removed for selection in list (locals ()): diff --git a/BackgroundEstimation/python/TauTagProbeSelections.py b/BackgroundEstimation/python/TauTagProbeSelections.py index f2819b1ea..a864f670d 100644 --- a/BackgroundEstimation/python/TauTagProbeSelections.py +++ b/BackgroundEstimation/python/TauTagProbeSelections.py @@ -31,7 +31,7 @@ def createHitsVariations (ch, chName): if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): tagTauCuts.append(cutTauTightMVAIso) else: - tagTauCuts.append(cutTauTightID) + tagTauCuts.append(cutTauTightPFIso) addCuts(TauTagSkim.cuts, tagTauCuts) ################################################################################ @@ -325,6 +325,8 @@ def createHitsVariations (ch, chName): createHitsVariations (ZtoTauToEleProbeTrkWithZCuts, "ZtoTauToEleProbeTrkWithZCuts") createHitsVariations (ZtoTauToMuDisTrk, "ZtoTauToMuDisTrk") createHitsVariations (ZtoTauToEleDisTrk, "ZtoTauToEleDisTrk") +createHitsVariations (TauTagPt55NoJetCuts, "TauTagPt55NoJetCuts") +createHitsVariations (TauTagPt55NoJetCutsMetTrig, "TauTagPt55NoJetCutsMetTrig") # create copies of all above selections with the fiducial electron/muon cuts removed for selection in list (locals ()): diff --git a/BackgroundEstimation/python/ZtoEESelections.py b/BackgroundEstimation/python/ZtoEESelections.py index 4e8c4bd53..6c7e454cc 100644 --- a/BackgroundEstimation/python/ZtoEESelections.py +++ b/BackgroundEstimation/python/ZtoEESelections.py @@ -6,7 +6,7 @@ def createHitsVariations (ch, chName): globals ().update (createChannelVariations (ch, chName, None, cutTrkNLayersVariations)) globals ().update (createChannelVariations (ch, chName, cutTrkNValidHitsSignal, cutTrkNValidHitsVariations)) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut (globals ()[chName + 'NHits3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut (globals ()[chName + 'NLayers3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) @@ -30,7 +30,7 @@ def createHitsVariations (ch, chName): cutEEInvMassZLo, cutEEInvMassZHi, ] -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): zToEEElectronCuts = [ cutMetFilters, cutElectronPairPt, @@ -41,6 +41,7 @@ def createHitsVariations (ch, chName): cutEEChargeProduct, cutEEInvMassZLo, cutEEInvMassZHi, + cutElectronPt, ] addCuts(ZtoEE.cuts, zToEEElectronCuts) diff --git a/BackgroundEstimation/python/ZtoMuMuSelections.py b/BackgroundEstimation/python/ZtoMuMuSelections.py index 349c249ec..31c0020ac 100644 --- a/BackgroundEstimation/python/ZtoMuMuSelections.py +++ b/BackgroundEstimation/python/ZtoMuMuSelections.py @@ -6,7 +6,7 @@ def createHitsVariations (ch, chName): globals ().update (createChannelVariations (ch, chName, None, cutTrkNLayersVariations)) globals ().update (createChannelVariations (ch, chName, cutTrkNValidHitsSignal, cutTrkNValidHitsVariations)) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut (globals ()[chName + 'NHits3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut (globals ()[chName + 'NLayers3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) diff --git a/BackgroundEstimation/python/bkgdEstimate.py b/BackgroundEstimation/python/bkgdEstimate.py index 06962cb9d..e03fa00b3 100644 --- a/BackgroundEstimation/python/bkgdEstimate.py +++ b/BackgroundEstimation/python/bkgdEstimate.py @@ -4,13 +4,15 @@ import math import functools import glob +import importlib + from ROOT import gROOT, gStyle, TCanvas, TFile, TGraphAsymmErrors, TH1D, TH3D, TMath, TPaveText, TObject, TF1, gDirectory, TH2D, TChain from OSUT3Analysis.Configuration.Measurement import Measurement from OSUT3Analysis.Configuration.ProgressIndicator import ProgressIndicator from DisappTrks.StandardAnalysis.plotUtilities import * - +import ctypes from array import * setTDRStyle() @@ -25,7 +27,8 @@ def prettyPrintTotals (electrons, muons, taus, fakes, nLayersWords, runPeriods, fullTotal = Measurement(0.0, 0.0, 0.0, 0.0, 0.0) for runPeriod in runPeriods: for nLayersWord in nLayersWords: - exec('from DisappTrks.LimitSetting.bkgdConfig_' + year + runPeriod + '_' + nLayersWord + ' import background_systematics') + module = importlib.import_module('DisappTrks.LimitSetting.bkgdConfig_' + year + runPeriod + '_' + nLayersWord) + background_systematics = getattr(module, 'background_systematics') eleSystematic = [0.0, 0.0] muonSystematic = [0.0, 0.0] @@ -398,7 +401,7 @@ def printPpassMetCut (self): met = getHistFromChannelDict (channel, hist) addChannelExtensions(met, channel, hist) - passesError = Double (0.0) + passesError = ctypes.c_double (0.0) passes = met.IntegralAndError (met.GetXaxis ().FindBin (self._metCut), met.GetNbinsX () + 1, met.GetYaxis ().FindBin (self._phiCut), met.GetNbinsY () + 1, passesError) passes = Measurement (passes, passesError) passes.isPositive () @@ -412,14 +415,14 @@ def printPpassHEMveto (self): hist = "Met Plots/metNoMu" channel = self.TrigEffNumer if hasattr (self, "TrigEffNumer") else self.TagPt35MetTrig denominator = getHistFromChannelDict (channel, hist) - nEventsDenominator = Double (getHist (channel["sample"], channel["condorDir"], channel["name"] + "CutFlowPlotter", "eventCounter").GetBinContent(1)) + nEventsDenominator = ctypes.c_double (getHist (channel["sample"], channel["condorDir"], channel["name"] + "CutFlowPlotter", "eventCounter").GetBinContent(1)) if "extensions" in channel: for x in channel["extensions"]: denominator.Add (getHist (x["sample"], x["condorDir"], x["name"] + "Plotter", hist)) channel = self.TrigEffNumerHEMveto if hasattr (self, "TrigEffNumerHEMveto") else self.TagPt35MetTrigHEMveto numerator = getHistFromChannelDict (channel, hist) - nEventsNumerator = Double (getHist (channel["sample"], channel["condorDir"], channel["name"] + "CutFlowPlotter", "eventCounter").GetBinContent(1)) + nEventsNumerator = ctypes.c_double (getHist (channel["sample"], channel["condorDir"], channel["name"] + "CutFlowPlotter", "eventCounter").GetBinContent(1)) if "extensions" in channel: for x in channel["extensions"]: numerator.Add (getHist (x["sample"], x["condorDir"], x["name"] + "Plotter", hist)) @@ -428,16 +431,16 @@ def printPpassHEMveto (self): # temporary scale factor to correct cases where a different number of events were run over (incomplete jobs) # derived from the CutFlowPlotter/eventCounter histogram # muons used a skim in D but had 100% completion, so just turn this off for muons... - sf = nEventsDenominator / nEventsNumerator if nEventsNumerator > 0.0 else 0.0 + sf = nEventsDenominator.value / nEventsNumerator.value if nEventsNumerator.value > 0.0 else 0.0 if sf > 1.0: print("\tApplying correction for incomplete jobs:", sf) numerator.Scale(sf) - totalError = Double (0.0) + totalError = ctypes.c_double (0.0) total = denominator.IntegralAndError (denominator.FindBin (self._metCut), denominator.GetNbinsX () + 1, totalError) total = Measurement (total, totalError) - passesError = Double (0.0) + passesError = ctypes.c_double (0.0) passes = numerator.IntegralAndError (numerator.FindBin (self._metCut), numerator.GetNbinsX () + 1, passesError) passes = Measurement (passes, passesError) @@ -539,8 +542,8 @@ def printPpassMetTriggers (self): metHist.Multiply (triggerEffPassesHist) total = 0.0 - totalError = Double (0.0) - passesError = Double (0.0) + totalError = ctypes.c_double (0.0) + passesError = ctypes.c_double (0.0) passes = metHist.IntegralAndError (metHist.FindBin (self._metCut), metHist.GetNbinsX () + 1, passesError) passes = Measurement (passes, passesError) @@ -551,7 +554,7 @@ def printPpassMetTriggers (self): met = getHistFromChannelDict (self.TagPt35, hist) addChannelExtensions(met, self.TagPt35, hist) - totalError = Double (0.0) + totalError = ctypes.c_double (0.0) total = met.IntegralAndError (met.GetXaxis ().FindBin (self._metCut), met.GetNbinsX () + 1, met.GetYaxis ().FindBin (self._phiCut), met.GetNbinsY () + 1, totalError) total = Measurement (total, totalError) total.isPositive () @@ -612,7 +615,7 @@ def printNback (self): eCalo = getHistFromChannelDict (self.CandTrkIdPt35, hist) addChannelExtensions(eCalo, self.CandTrkIdPt35, hist) - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = eCalo.IntegralAndError (0, eCalo.FindBin (self._eCaloCut), nError) w = self.CandTrkIdPt35["weight"] @@ -726,7 +729,11 @@ def printNest (self): nEst.isPositive () + #print("Types in alpha", type(scaleFactor), type(pPassVeto), type(pPassMetCut), type(pPassMetTriggers)) + #print("Debugging: \n\t pPassVeto {} \n\t passes {} \n\t scaleFactor {} \n\t total {} \n\t pPassMetCut {} \n\t pPassMetTriggers {}".format(str(pPassVeto), str(passes), str(scaleFactor), str(total), str(pPassMetCut), str(pPassMetTriggers))) + alpha = scaleFactor * pPassVeto * pPassMetCut * pPassMetTriggers + #print("Debugging, alpha after construction {}".format(str(alpha))) if self._useExternalTriggerEfficiency and hasattr (self, 'externalTriggerEfficiency'): alpha /= self.externalTriggerEfficiency if (hasattr (self, "TagPt35MetTrigHEMveto") and hasattr (self, "TagPt35MetTrig")) or (hasattr (self, "TrigEffNumerHEMveto") and hasattr (self, "TrigEffNumer")): @@ -745,6 +752,7 @@ def printNest (self): alpha = (scaleFactor / total) * nCtrl * pPassMetCut * pPassMetTriggers print("N: " + str (passes)) + #print("Alpha is of type", type(alpha)) print("alpha: " + str (alpha)) if alpha.centralValue () > 0: if alpha.uncertaintyDown () == alpha.uncertaintyUp (): @@ -919,16 +927,16 @@ def printPpassVetoTagProbe (self): backgroundHist = getHistFromChannelDict (self.TagProbePassSS, hist) addChannelExtensions(backgroundHist, self.TagProbePassSS, hist) - backgroundError = Double (0.0) + backgroundError = ctypes.c_double (0.0) background = backgroundHist.IntegralAndError (0, backgroundHist.GetNbinsX () + 1, backgroundError) - background = Measurement (background, backgroundError) + background = Measurement (background, backgroundError.value) background1 = Measurement (0.0, 0.0) if hasattr (self, "TagProbePassSS1"): hist = "Met Plots/metNoMu" backgroundHist = getHistFromChannelDict (self.TagProbePassSS1, hist) addChannelExtensions(backgroundHist, self.TagProbePassSS1, hist) - backgroundError = Double (0.0) + backgroundError = ctypes.c_double (0.0) background1 = backgroundHist.IntegralAndError (0, backgroundHist.GetNbinsX () + 1, backgroundError) background1 = Measurement (background1, backgroundError) @@ -972,6 +980,7 @@ def printPpassVetoTagProbe (self): eff = scaledPasses / total print("P (pass lepton veto) in tag-probe sample: " + str (eff)) + #print("Debugging P {}, Eff {}".format(str(p), str(eff))) return (eff, p, sf, total) else: print("TagProbe and TagProbePass not both defined. Not printing lepton veto efficiency...") @@ -1108,7 +1117,7 @@ def flatFunction (x, par): return par[0] def getIntegralError (f, a, b): - integralError = Double (0.0) + integralError = ctypes.c_double (0.0) nominal = f.IntegralOneDim (a, b, 1.0e-12, 1.0e-2, integralError) pars = [] @@ -1222,10 +1231,10 @@ def printTransferFactor (self, verbose = True): for i in range (0, 10): d0Mag.Fit (f, "LQEMN", "", 0.1, 1.0) - passesError = Double (0.0) + passesError = ctypes.c_double (0.0) passes = f.IntegralOneDim (0.0, 0.02, 1.0e-12, 1.0e-2, passesError) passesError = getIntegralError (f, 0.0, 0.02) - failsError = Double (0.0) + failsError = ctypes.c_double (0.0) fails = f.IntegralOneDim (self._minD0, self._maxD0, 1.0e-12, 1.0e-2, failsError) failsError = getIntegralError (f, self._minD0, self._maxD0) @@ -1252,17 +1261,17 @@ def printNctrl (self, verbose = True): hits = getHistFromChannelDict (self.DisTrkInvertD0, "Track Plots/trackLayersWithMeasurementVsPixelHits") if self._nHits != None: if self._nHits >= 6: - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = hits.IntegralAndError (hits.GetXaxis ().FindBin (4.0), hits.GetXaxis ().FindBin (99.0), hits.GetYaxis ().FindBin (6.0), hits.GetYaxis ().FindBin (99.0), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () if self._nHits == 5: - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = hits.IntegralAndError (hits.GetXaxis ().FindBin (4.0), hits.GetXaxis ().FindBin (99.0), hits.GetYaxis ().FindBin (5.0), hits.GetYaxis ().FindBin (5.0), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () if self._nHits == 4: - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = hits.IntegralAndError (hits.GetXaxis ().FindBin (4.0), hits.GetXaxis ().FindBin (99.0), hits.GetYaxis ().FindBin (4.0), hits.GetYaxis ().FindBin (4.0), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () @@ -1395,10 +1404,10 @@ def getTransferFactor (self, cutString): for i in range (0, 10): d0Mag.Fit (f, "LQEMN", "", 0.1, 1.0) - passesError = Double (0.0) + passesError = ctypes.c_double (0.0) passes = f.IntegralOneDim (0.0, 0.02, 1.0e-12, 1.0e-2, passesError) passesError = getIntegralError (f, 0.0, 0.02) - failsError = Double (0.0) + failsError = ctypes.c_double (0.0) fails = f.IntegralOneDim (self._minD0, self._maxD0, 1.0e-12, 1.0e-2, failsError) failsError = getIntegralError (f, self._minD0, self._maxD0) @@ -1424,24 +1433,24 @@ def printNctrl (self, cutString): self.DisTrkInvertD0Chain.Draw('track_hitPattern_.trackerLayersWithMeasurement:track_hitPattern_.numberOfValidPixelHits >> h2d(10, -0.5, 9.5, 20, -0.5, 19.5)', cutString, 'goff') hits = gDirectory.Get('h2d') if self._nHits >= 6: - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = hits.IntegralAndError (hits.GetXaxis ().FindBin (4.0), hits.GetXaxis ().FindBin (99.0), hits.GetYaxis ().FindBin (6.0), hits.GetYaxis ().FindBin (99.0), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () if self._nHits == 5: - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = hits.IntegralAndError (hits.GetXaxis ().FindBin (4.0), hits.GetXaxis ().FindBin (99.0), hits.GetYaxis ().FindBin (5.0), hits.GetYaxis ().FindBin (5.0), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () if self._nHits == 4: - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = hits.IntegralAndError (hits.GetXaxis ().FindBin (4.0), hits.GetXaxis ().FindBin (99.0), hits.GetYaxis ().FindBin (4.0), hits.GetYaxis ().FindBin (4.0), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () else: self.DisTrkInvertD0Chain.Draw('abs(track_dxy) >> hMag(50, 0.0, 0.5)', cutString, 'goff') d0Mag = gDirectory.Get('hMag') - nError = Double (0.0) + nError = ctypes.c_double (0.0) n = d0Mag.IntegralAndError(d0Mag.GetXaxis().FindBin(self._minD0), d0Mag.GetXaxis().FindBin(self.maxD0 - 0.001), nError) n = Measurement (n, (nError if n != 0.0 else 0.5 * TMath.ChisquareQuantile (0.68, 2 * (n + 1)))) n.isPositive () diff --git a/BackgroundEstimation/python/config_cfg.py b/BackgroundEstimation/python/config_cfg.py index 92e43386f..6900176fd 100644 --- a/BackgroundEstimation/python/config_cfg.py +++ b/BackgroundEstimation/python/config_cfg.py @@ -59,7 +59,7 @@ def getNLayersChannelVariations (chName): ################################################################################ # Base skim -# add_channels (process, [ElectronTagSkim], histSetsElectron, weightsWithEleSF, scaleFactorProducersWithElectrons, collMap, variableProducers, ignoreSkimmedCollections = True) +#add_channels (process, [ElectronTagSkim], histSetsElectron, weightsWithEleSF, scaleFactorProducersWithElectrons, collMap, variableProducers, ignoreSkimmedCollections = True) # Tag-and-probe channels for fiducial map # Don't use anymore @@ -71,7 +71,8 @@ def getNLayersChannelVariations (chName): # Use these! if False: add_channels (process, [ElectronFiducialCalcBeforeOldCuts], histSetsElectron, weightsWithEleSF, scaleFactorProducersWithElectrons, collMap, variableProducers, ignoreSkimmedCollections = True) - add_channels (process, [ElectronFiducialCalcAfterOldCuts], histSetsElectron, weightsWithEleSF, scaleFactorProducersWithElectrons, collMap, variableProducers, ignoreSkimmedCollections = True) + add_channels (process, [ElectronFiducialCalcAfterOldCuts], histSetsElectron, weightsWithEleSF, scaleFactorProducersWithElectrons, collMap, variableProducers, ignoreSkimmedCollections = True, forceNonEmptySkim=True) + add_channels (process, [ElectronDeepSetsAfter], histSetsElectron, weightsWithEleSF, scaleFactorProducersWithElectrons, collMap, variableProducers, ignoreSkimmedCollections = True, forceNonEmptySkim=True) # Tag-and-probe channels for electron background estimate if False: diff --git a/BackgroundEstimation/scripts/extractL1Seeds2022.py b/BackgroundEstimation/scripts/extractL1Seeds2022.py new file mode 100644 index 000000000..ff8831c81 --- /dev/null +++ b/BackgroundEstimation/scripts/extractL1Seeds2022.py @@ -0,0 +1,110 @@ +import re +from omsapi import OMSAPI + +class L1Rates(): + + def __init__(self, outputFile='l1ETM_2022.txt'): + self.rates = {} + self.out_name = outputFile + self.max_n_ls = 1000 + self.initialize() + + #this function gives access to omsapi (this is the milliqan app so be careful) + def initialize(self): + my_app_id='milliqan-oms' + my_app_secret='AvwJaQWfSMuDsOhYwPxynQMrFN7YXfPV' + + self.omsapi = OMSAPI("https://cmsoms.cern.ch/agg/api", "v1", cert_verify=False) + self.omsapi.auth_oidc(my_app_id,my_app_secret) + + #adapted from cmstalk https://cms-talk.web.cern.ch/t/the-l1algos-endpoint-not-accessible/41148/2 + def getL1Prescales(self, run=381309): + + query = self.omsapi.query("l1algorithmtriggers") + query.per_page = self.max_n_ls # to get up to 10 LS in one go + + query.attrs(["name","bit","pre_dt_before_prescale_counter", "pre_dt_counter", "post_dt_counter", "initial_prescale", "final_prescale"]) + rates = {} + + query.clear_filter().filter("run_number", run ) # returns data per lumisection + data = query.data().json()['data'] + query.verbose = False + + for seed in data: + threshold = None + match = re.search(r'ETM(?:HF)?(\d+)', seed['attributes']['name']) + if match: + try: + threshold = int(match.group(1)) + except: + print("Error getting threshold for L1Seed: {}, set to None".format(seed['attributes']['name'])) + else: + continue + + #print("Name {}, threshold {}".format(seed['attributes']['name'], threshold)) + + averagePrescale = 0 + if int(seed['attributes']['pre_dt_before_prescale_counter']) > 0: + averagePrescale = seed['attributes']['pre_dt_counter'] / seed['attributes']['pre_dt_before_prescale_counter'] + + rates[(seed['attributes']['bit'])] = { + "name": seed['attributes']['name'] , + "countsBeforePrescale": seed['attributes']['pre_dt_before_prescale_counter'], + "countsAfterPrescale": seed['attributes']['pre_dt_counter'], + "initialPrescale": seed['attributes']['initial_prescale']['prescale'], + "finalPrescale": seed['attributes']['final_prescale']['prescale'], + "averagePrescale": averagePrescale, + "threshold": threshold + } + + return rates + + #get prescales for all runs in the era + def loopOverRuns(self, runs=[]): + start_run, end_run = self.getRunsInEra() + runs = [x for x in range(start_run, end_run)] + for run in runs: + print("Working on run {}".format(run)) + attempts = 0 + success = False + #api can fail so give it a few tries + while attempts < 5 and not success: + try: + self.rates[run] = self.getL1Prescales(run=run) + success=True + except: + print("Attempting to get L1Seeds for {} again, attempt {}".format(run, attempts)) + attempts+=1 + + + #get the first and last runs in the era + def getRunsInEra(self, era='Run2022F'): + print("getting runs in era") + q = self.omsapi.query("eras") + q.per_page = 100 + q.clear_filter().filter("name", era) + + response = q.data() + data = response.json()['data'] + + start_run = data[0]['attributes']['start_run'] + end_run = data[0]['attributes']['end_run'] + + print("start run {}, end run {}".format(start_run, end_run)) + + return start_run, end_run + + #save everything into the txt file expected by the EventL1ETMProducer + def saveL1ETM(self): + with open(self.out_name, 'w') as fout: + for run, info in self.rates.items(): + for L1Bit, values in info.items(): + s_out = 'run: {} name: {} threshold: {} average_prescale: {} initial_prescale: {} final_prescale: {}'.format(run, values['name'], values['threshold'], values['averagePrescale'], values['initialPrescale'], values['finalPrescale']) + fout.write(s_out + '\n') + + +if __name__ == "__main__": + + myrates = L1Rates() + myrates.loopOverRuns() + myrates.saveL1ETM() \ No newline at end of file diff --git a/BackgroundEstimation/test/bkgdEstimate_2018.py b/BackgroundEstimation/test/bkgdEstimate_2018.py index 3a9123215..d57c0032c 100755 --- a/BackgroundEstimation/test/bkgdEstimate_2018.py +++ b/BackgroundEstimation/test/bkgdEstimate_2018.py @@ -13,7 +13,7 @@ canvas = TCanvas("c1", "c1",800,800) setCanvasStyle(canvas) -background = "all" +background = "FAKE" if len(sys.argv) > 1: background = sys.argv[1] background = background.upper() @@ -52,30 +52,30 @@ for nLayersWord in nLayersWords: - print "********************************************************************************" - print "performing fake track background estimate in search region(2018", runPeriod, "--", nLayersWord, ")" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing fake track background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") fout = TFile.Open("fakeTrackBkgdEstimate_zToMuMu_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") fakeTrackBkgdEstimate = FakeTrackBkgdEstimate () fakeTrackBkgdEstimate.addTFile (fout) fakeTrackBkgdEstimate.addLuminosityInInvPb (lumi["MET_2018" + runPeriod]) - fakeTrackBkgdEstimate.addChannel("Basic3hits", "ZtoMuMuDisTrkNoD0CutNLayers4", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/fakeBackground") - fakeTrackBkgdEstimate.addChannel("DisTrkInvertD0", "ZtoMuMuDisTrkNoD0Cut" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/fakeBackground") - fakeTrackBkgdEstimate.addChannel("Basic", "BasicSelection", "MET_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/basicSelection_v2") - fakeTrackBkgdEstimate.addChannel("ZtoLL", "ZtoMuMu", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/zToMuMu") + fakeTrackBkgdEstimate.addChannel("Basic3hits", "ZtoMuMuDisTrkNoD0CutNLayers4", "SingleMu_2018" + runPeriod, dirs['Mike'] + "bfrancisStore/2018/fromLPC/fakeBackground") + fakeTrackBkgdEstimate.addChannel("DisTrkInvertD0", "ZtoMuMuDisTrkNoD0Cut" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Mike'] + "bfrancisStore/2018/fromLPC/fakeBackground") + fakeTrackBkgdEstimate.addChannel("Basic", "BasicSelection", "MET_2018" + runPeriod, dirs['Mike'] + "bfrancisStore/2018/fromLPC/basicSelection_v2") + fakeTrackBkgdEstimate.addChannel("ZtoLL", "ZtoMuMu", "SingleMu_2018" + runPeriod, dirs['Mike'] + "bfrancisStore/2018/fromLPC/zToMuMu") - print "********************************************************************************" - print "Baseline sideband result ({:.2f}, {:.2f}) cm: ".format(fakeSidebands[0][0], fakeSidebands[0][1]) + print("********************************************************************************") + print("Baseline sideband result ({:.2f}, {:.2f}) cm: ".format(fakeSidebands[0][0], fakeSidebands[0][1])) fakeTrackBkgdEstimate.addMinD0 (fakeSidebands[0][0]) fakeTrackBkgdEstimate.addMaxD0 (fakeSidebands[0][1]) nEstFake[(nLayersWord, runPeriod)] = fakeTrackBkgdEstimate.printNest ()[0] fout.Close () if len(fakeSidebands) > 1: - print "********************************************************************************" - print "Mean result over sidebands: " + print("********************************************************************************") + print("Mean result over sidebands: ") nEstAllSidebands = Measurement(0, 0) pFakeAllSidebands = Measurement(0, 0) for sb in fakeSidebands: @@ -84,17 +84,17 @@ sbResults = fakeTrackBkgdEstimate.printNest (verbose = False) nEstAllSidebands += sbResults[0] pFakeAllSidebands += sbResults[1] - print '\t({:.2f}, {:.2f}: N_est = '.format(sb[0], sb[1]) + str(sbResults[0]) + ' ; P_fake = ' + str(sbResults[1]) + print('\t({:.2f}, {:.2f}: N_est = '.format(sb[0], sb[1]) + str(sbResults[0]) + ' ; P_fake = ' + str(sbResults[1])) nEstAllSidebands /= len(fakeSidebands) pFakeAllSidebands /= len(fakeSidebands) - print "N_est (mean): ", nEstAllSidebands - print "P_fake (mean): ", pFakeAllSidebands - print "********************************************************************************" - print "\n\n" + print("N_est (mean): ", nEstAllSidebands) + print("P_fake (mean): ", pFakeAllSidebands) + print("********************************************************************************") + print("\n\n") - print "********************************************************************************" - print "performing fake track background estimate with Z->ee selection in search region(2018", runPeriod, "--", nLayersWord, ")" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing fake track background estimate with Z->ee selection in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") fout = TFile.Open("fakeTrackBkgdEstimate_zToEE_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") @@ -104,21 +104,21 @@ # durp # only 99.4% of events were run over (failed job in A), so there is an extra prescale factor fakeTrackBkgdEstimate.addPrescaleFactor ((16299633 + 19271182 + 20289301 + 21758154 + 6815966 + 27504879 + 49328605 + 10905430 + 68323666) / 238987094.0) - fakeTrackBkgdEstimate.addChannel("Basic3hits", "ZtoEEDisTrkNoD0CutNLayers4", "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/fakeTrackSystematic_zToEE") - fakeTrackBkgdEstimate.addChannel("DisTrkInvertD0", "ZtoEEDisTrkNoD0Cut" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/fakeTrackSystematic_zToEE") - fakeTrackBkgdEstimate.addChannel("Basic", "BasicSelection", "MET_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/basicSelection_v2") - fakeTrackBkgdEstimate.addChannel("ZtoLL", "ZtoEE", "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/zToEE") + fakeTrackBkgdEstimate.addChannel("Basic3hits", "ZtoEEDisTrkNoD0CutNLayers4", "EGamma_2018" + runPeriod, dirs['Mike'] + "kweiStore/2018/fromLPC/fakeTrackSystematic_zToEE") + fakeTrackBkgdEstimate.addChannel("DisTrkInvertD0", "ZtoEEDisTrkNoD0Cut" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Mike'] + "kweiStore/2018/fromLPC/fakeTrackSystematic_zToEE") + fakeTrackBkgdEstimate.addChannel("Basic", "BasicSelection", "MET_2018" + runPeriod, dirs['Mike'] + "bfrancisStore/2018/fromLPC/basicSelection_v2") + fakeTrackBkgdEstimate.addChannel("ZtoLL", "ZtoEE", "EGamma_2018" + runPeriod, dirs['Mike'] + "kweiStore/2018/fromLPC/zToEE") - print "********************************************************************************" - print "Baseline sideband result ({:.2f}, {:.2f}) cm: ".format(fakeSidebands[0][0], fakeSidebands[0][1]) + print("********************************************************************************") + print("Baseline sideband result ({:.2f}, {:.2f}) cm: ".format(fakeSidebands[0][0], fakeSidebands[0][1])) fakeTrackBkgdEstimate.addMinD0 (fakeSidebands[0][0]) fakeTrackBkgdEstimate.addMaxD0 (fakeSidebands[0][1]) fakeTrackBkgdEstimate.printNest () fout.Close () if len(fakeSidebands) > 1: - print "********************************************************************************" - print "Mean result over sidebands: " + print("********************************************************************************") + print("Mean result over sidebands: ") nEstAllSidebands = Measurement(0, 0) pFakeAllSidebands = Measurement(0, 0) for sb in fakeSidebands: @@ -127,21 +127,21 @@ sbResults = fakeTrackBkgdEstimate.printNest (verbose = False) nEstAllSidebands += sbResults[0] pFakeAllSidebands += sbResults[1] - print '\t({:.2f}, {:.2f}: N_est = '.format(sb[0], sb[1]) + str(sbResults[0]) + ' ; P_fake = ' + str(sbResults[1]) + print('\t({:.2f}, {:.2f}: N_est = '.format(sb[0], sb[1]) + str(sbResults[0]) + ' ; P_fake = ' + str(sbResults[1])) nEstAllSidebands /= len(fakeSidebands) pFakeAllSidebands /= len(fakeSidebands) - print "N_est: ", nEstAllSidebands - print "P_fake: ", pFakeAllSidebands - print "********************************************************************************" - print "\n\n" + print("N_est: ", nEstAllSidebands) + print("P_fake: ", pFakeAllSidebands) + print("********************************************************************************") + print("\n\n") if background == "ELECTRON" or background == "LEPTON" or background == "ALL": if combineLayers: - print "********************************************************************************" - print "performing electron background estimate in search region(2018", runPeriod, "-- combined layers bins)" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing electron background estimate in search region(2018", runPeriod, "-- combined layers bins)") + print("--------------------------------------------------------------------------------") fout = TFile.Open("electronBkgdEstimate_2018" + runPeriod + "_combinedBins.root", "recreate") @@ -165,11 +165,11 @@ electronBkgdEstimate.addChannel("TagPt35MetTrigHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWords[0], "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") for iBin in range(1, len(nLayersWords)): - electronBkgdEstimate.appendChannel("TagProbe", "ZtoEleProbeTrk" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdNoFilterBinnedLayers") - electronBkgdEstimate.appendChannel("TagProbePass", "ZtoEleProbeTrkWithFilter" + nLayersWords[iBin], "EGamma_rereco_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdWithFilterBinnedLayers") - electronBkgdEstimate.appendChannel("TagProbePassSS", "ZtoEleProbeTrkWithSSFilter" + nLayersWords[iBin], "EGamma_rereco_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdWithFilterBinnedLayers") - electronBkgdEstimate.appendChannel("TagPt35", "ElectronTagPt55" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/electronControlRegionBinnedLayers") - electronBkgdEstimate.appendChannel("TagPt35MetTrig", "ElectronTagPt55MetTrig" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/electronControlRegionBinnedLayers") + electronBkgdEstimate.appendChannel("TagProbe", "ZtoEleProbeTrk" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdNoFilterBinnedLayers") + electronBkgdEstimate.appendChannel("TagProbePass", "ZtoEleProbeTrkWithFilter" + nLayersWords[iBin], "EGamma_rereco_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdWithFilterBinnedLayers") + electronBkgdEstimate.appendChannel("TagProbePassSS", "ZtoEleProbeTrkWithSSFilter" + nLayersWords[iBin], "EGamma_rereco_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdWithFilterBinnedLayers") + electronBkgdEstimate.appendChannel("TagPt35", "ElectronTagPt55" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/electronControlRegionBinnedLayers") + electronBkgdEstimate.appendChannel("TagPt35MetTrig", "ElectronTagPt55MetTrig" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/electronControlRegionBinnedLayers") if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: # HEM 15/16 issue; veto MET in phi range electronBkgdEstimate.appendChannel("TagPt35MetTrigHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") @@ -177,22 +177,22 @@ electronBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... electronBkgdEstimate.addRebinFactor(4) - print "********************************************************************************" + print("********************************************************************************") nEstElectron[("combinedBins", runPeriod)] = electronBkgdEstimate.printNest() electronBkgdEstimate.printPpassVetoTagProbe() - print "********************************************************************************" + print("********************************************************************************") fout.Close() - print "\n\n" + print("\n\n") for nLayersWord in nLayersWords: - print "********************************************************************************" - print "performing electron background estimate in search region(2018", runPeriod, "--", nLayersWord, ")" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing electron background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") fout = TFile.Open("electronBkgdEstimate_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") @@ -232,24 +232,24 @@ electronBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... electronBkgdEstimate.addRebinFactor(4) - print "********************************************************************************" + print("********************************************************************************") nEstElectron[(nLayersWord, runPeriod)] = electronBkgdEstimate.printNest() electronBkgdEstimate.printPpassVetoTagProbe() - print "********************************************************************************" + print("********************************************************************************") fout.Close() - print "\n\n" + print("\n\n") if background == "MUON" or background == "LEPTON" or background == "ALL": if combineLayers: - print "********************************************************************************" - print "performing muon background estimate in search region(2018", runPeriod, "-- combined layer bins)" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing muon background estimate in search region(2018", runPeriod, "-- combined layer bins)") + print("--------------------------------------------------------------------------------") fout = TFile.Open("muonBkgdEstimate_2018" + runPeriod + "_combinedBins.root", "recreate") @@ -285,7 +285,7 @@ muonBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... muonBkgdEstimate.addRebinFactor(4) - print "********************************************************************************" + print("********************************************************************************") nEstMuon[("combinedBins", runPeriod)] = muonBkgdEstimate.printNest() muonBkgdEstimate.printPpassVetoTagProbe() @@ -297,17 +297,17 @@ if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: combinedPpassHEMveto = muonBkgdEstimate.getPpassHEMveto() - print "********************************************************************************" + print("********************************************************************************") fout.Close() - print "\n\n" + print("\n\n") for nLayersWord in nLayersWords: - print "********************************************************************************" - print "performing muon background estimate in search region(2018", runPeriod, "--", nLayersWord, ")" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing muon background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") fout = TFile.Open("muonBkgdEstimate_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") @@ -349,30 +349,30 @@ muonBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... muonBkgdEstimate.addRebinFactor(4) - print "********************************************************************************" + print("********************************************************************************") nEstMuon[(nLayersWord, runPeriod)] = muonBkgdEstimate.printNest() muonBkgdEstimate.printPpassVetoTagProbe() - print "********************************************************************************" + print("********************************************************************************") if nLayersWord == "NLayers4" or nLayersWord == "NLayers5": - print "using the combined 4/5/6+ layers sample for Poffline and Ptrigger:" + print("using the combined 4/5/6+ layers sample for Poffline and Ptrigger:") nEstMuon[(nLayersWord, runPeriod)] = muonBkgdEstimate.printNestCombinedMet(combinedPpassMetCut, combinedPpassMetTriggers, combinedPpassHEMveto) - print "********************************************************************************" + print("********************************************************************************") fout.Close() - print "\n\n" + print("\n\n") if background == "TAU" or background == "LEPTON" or background == "ALL": if combineLayers: - print "********************************************************************************" - print "performing tau background estimate in search region(2018", runPeriod, "-- combined layer bins)" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing tau background estimate in search region(2018", runPeriod, "-- combined layer bins)") + print("--------------------------------------------------------------------------------") fout = TFile.Open("tauBkgdEstimate_2018" + runPeriod + "_combinedBins.root", "recreate") @@ -421,7 +421,7 @@ tauBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... tauBkgdEstimate.addRebinFactor(8) - print "********************************************************************************" + print("********************************************************************************") nEstTau[("combinedBins", runPeriod)] = tauBkgdEstimate.printNest() tauBkgdEstimate.printPpassVetoTagProbe() @@ -433,17 +433,17 @@ if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: combinedPpassHEMveto = tauBkgdEstimate.getPpassHEMveto() - print "********************************************************************************" + print("********************************************************************************") fout.Close() - print "\n\n" + print("\n\n") for nLayersWord in nLayersWords: - print "********************************************************************************" - print "performing tau background estimate in search region(2018", runPeriod, "--", nLayersWord, ")" - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("performing tau background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") fout = TFile.Open("tauBkgdEstimate_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") @@ -486,22 +486,22 @@ tauBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... tauBkgdEstimate.addRebinFactor(8) - print "********************************************************************************" + print("********************************************************************************") nEstTau[(nLayersWord, runPeriod)] = tauBkgdEstimate.printNest() tauBkgdEstimate.printPpassVetoTagProbe() - print "********************************************************************************" + print("********************************************************************************") if nLayersWord == "NLayers4" or nLayersWord == "NLayers5": - print "using the combined 4/5/6+ layers sample for Poffline and Ptrigger:" + print("using the combined 4/5/6+ layers sample for Poffline and Ptrigger:") nEstTau[(nLayersWord, runPeriod)] = tauBkgdEstimate.printNestCombinedMet(combinedPpassMetCut, combinedPpassMetTriggers, combinedPpassHEMveto) - print "********************************************************************************" + print("********************************************************************************") fout.Close() - print "\n\n" + print("\n\n") sys.stdout = stdout diff --git a/BackgroundEstimation/test/bkgdEstimate_2022.py b/BackgroundEstimation/test/bkgdEstimate_2022.py new file mode 100755 index 000000000..a8f929dec --- /dev/null +++ b/BackgroundEstimation/test/bkgdEstimate_2022.py @@ -0,0 +1,551 @@ +#!/usr/bin/env python3 + +import math, os, sys +from OSUT3Analysis.Configuration.Measurement import Measurement +from DisappTrks.BackgroundEstimation.bkgdEstimate import LeptonBkgdEstimate, FakeTrackBkgdEstimate, prettyPrintTotals +from DisappTrks.StandardAnalysis.plotUtilities import * +from DisappTrks.StandardAnalysis.IntegratedLuminosity_cff import * +from ROOT import gROOT, TCanvas, TFile, TGraphErrors + +gROOT.SetBatch() # I am Groot. + +dirs = getUser() +canvas = TCanvas("c1", "c1",800,800) +setCanvasStyle(canvas) + +background = "FAKE" +if len(sys.argv) > 1: + background = sys.argv[1] +background = background.upper() + +nLayersWords = ["NLayers4", "NLayers5", "NLayers6plus"] +#nLayersWords = [''] +combineLayers = True +if len(sys.argv) > 2: + nLayersWords = [sys.argv[2]] + combineLayers = False + +# '' will gives you Dataset_2018.root for the whole year +#runPeriods = ['A', 'B', 'C', 'D'] +#runPeriods = [''] +runPeriods = ['F'] + +nEstFake = {} +nEstElectron = {} +nEstMuon = {} +nEstTau = {} + +nLeptons = {} +nTotal = {} + +# ARC EXO-19-010: use one large sideband for fake estimate +#fakeSidebands = [(x * 0.05, (x + 1) * 0.05) for x in range(1, 10)] +fakeSidebands = [(0.05, 0.5)] + +applyHEMveto = False + +stdout = sys.stdout +nullout = open("/dev/null", "w") + +for runPeriod in runPeriods: + + if background == "FAKE" or background == "ALL": + + for nLayersWord in nLayersWords: + + '''print("********************************************************************************") + print("performing fake track background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("fakeTrackBkgdEstimate_zToMuMu_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") + + fakeTrackBkgdEstimate = FakeTrackBkgdEstimate () + fakeTrackBkgdEstimate.addTFile (fout) + fakeTrackBkgdEstimate.addLuminosityInInvPb (lumi["MET_2018" + runPeriod]) + fakeTrackBkgdEstimate.addChannel("Basic3hits", "ZtoMuMuDisTrkNoD0CutNLayers4", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/fakeBackground") + fakeTrackBkgdEstimate.addChannel("DisTrkInvertD0", "ZtoMuMuDisTrkNoD0Cut" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/fakeBackground") + fakeTrackBkgdEstimate.addChannel("Basic", "BasicSelection", "MET_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/basicSelection_v2") + fakeTrackBkgdEstimate.addChannel("ZtoLL", "ZtoMuMu", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/zToMuMu") + + print("********************************************************************************") + print("Baseline sideband result ({:.2f}, {:.2f}) cm: ".format(fakeSidebands[0][0], fakeSidebands[0][1])) + fakeTrackBkgdEstimate.addMinD0 (fakeSidebands[0][0]) + fakeTrackBkgdEstimate.addMaxD0 (fakeSidebands[0][1]) + nEstFake[(nLayersWord, runPeriod)] = fakeTrackBkgdEstimate.printNest ()[0] + fout.Close () + + if len(fakeSidebands) > 1: + print("********************************************************************************") + print("Mean result over sidebands: ") + nEstAllSidebands = Measurement(0, 0) + pFakeAllSidebands = Measurement(0, 0) + for sb in fakeSidebands: + fakeTrackBkgdEstimate.addMinD0 (sb[0]) + fakeTrackBkgdEstimate.addMaxD0 (sb[1]) + sbResults = fakeTrackBkgdEstimate.printNest (verbose = False) + nEstAllSidebands += sbResults[0] + pFakeAllSidebands += sbResults[1] + print('\t({:.2f}, {:.2f}: N_est = '.format(sb[0], sb[1]) + str(sbResults[0]) + ' ; P_fake = ' + str(sbResults[1])) + nEstAllSidebands /= len(fakeSidebands) + pFakeAllSidebands /= len(fakeSidebands) + print("N_est (mean): ", nEstAllSidebands) + print("P_fake (mean): ", pFakeAllSidebands) + print("********************************************************************************") + print("\n\n")''' + + print("********************************************************************************") + print("performing fake track background estimate with Z->ee selection in search region(2022", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("fakeTrackBkgdEstimate_zToEE_2022" + runPeriod + "_" + nLayersWord + ".root", "recreate") + + fakeTrackBkgdEstimate = FakeTrackBkgdEstimate () + fakeTrackBkgdEstimate.addTFile (fout) + fakeTrackBkgdEstimate.addLuminosityInInvPb (lumi["MET_2022" + runPeriod]) + # durp + # only 99.4% of events were run over (failed job in A), so there is an extra prescale factor + #fakeTrackBkgdEstimate.addPrescaleFactor ((16299633 + 19271182 + 20289301 + 21758154 + 6815966 + 27504879 + 49328605 + 10905430 + 68323666) / 238987094.0) + fakeTrackBkgdEstimate.addChannel("Basic3hits", "ZtoEEDisTrkNoD0CutNLayers4", "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_ZtoEEDisTrkNoD0CutNLayer") + fakeTrackBkgdEstimate.addChannel("DisTrkInvertD0", "ZtoEEDisTrkNoD0Cut" + nLayersWord, "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_ZtoEEDisTrkNoD0CutNLayer") + fakeTrackBkgdEstimate.addChannel("Basic", "BasicSelection", "MET_2022" + runPeriod, dirs['Mike'] + "MET_2022/MET_2022F_basicSelection") + fakeTrackBkgdEstimate.addChannel("ZtoLL", "ZtoEE", "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_ZtoEE") + + print("********************************************************************************") + print("Baseline sideband result ({:.2f}, {:.2f}) cm: ".format(fakeSidebands[0][0], fakeSidebands[0][1])) + fakeTrackBkgdEstimate.addMinD0 (fakeSidebands[0][0]) + fakeTrackBkgdEstimate.addMaxD0 (fakeSidebands[0][1]) + fakeTrackBkgdEstimate.printNest () + fout.Close () + + if len(fakeSidebands) > 1: + print("********************************************************************************") + print("Mean result over sidebands: ") + nEstAllSidebands = Measurement(0, 0) + pFakeAllSidebands = Measurement(0, 0) + for sb in fakeSidebands: + fakeTrackBkgdEstimate.addMinD0 (sb[0]) + fakeTrackBkgdEstimate.addMaxD0 (sb[1]) + sbResults = fakeTrackBkgdEstimate.printNest (verbose = False) + nEstAllSidebands += sbResults[0] + pFakeAllSidebands += sbResults[1] + print('\t({:.2f}, {:.2f}: N_est = '.format(sb[0], sb[1]) + str(sbResults[0]) + ' ; P_fake = ' + str(sbResults[1])) + nEstAllSidebands /= len(fakeSidebands) + pFakeAllSidebands /= len(fakeSidebands) + print("N_est: ", nEstAllSidebands) + print("P_fake: ", pFakeAllSidebands) + print("********************************************************************************") + print("\n\n") + + if background == "ELECTRON" or background == "LEPTON" or background == "ALL": + + if combineLayers: + + print("********************************************************************************") + print("performing electron background estimate in search region(2022", runPeriod, "-- combined layers bins)") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("electronBkgdEstimate_2022" + runPeriod + "_combinedBins.root", "recreate") + + electronBkgdEstimate = LeptonBkgdEstimate("electron") + electronBkgdEstimate.addMetCut(120.0) + electronBkgdEstimate.addTFile(fout) + electronBkgdEstimate.addTCanvas(canvas) + electronBkgdEstimate.addPrescaleFactor(lumi["MET_2022" + runPeriod] / lumi["EGamma_2022" + runPeriod]) + electronBkgdEstimate.addLuminosityInInvPb(lumi["MET_2022" + runPeriod]) + electronBkgdEstimate.addLuminosityLabel(str(round(lumi["EGamma_2022" + runPeriod] / 1000.0, 2)) + " fb^{-1}(13 TeV)") + electronBkgdEstimate.addPlotLabel("EGamma 2022" + runPeriod) + + electronBkgdEstimate.addChannel("TagProbe", "ZtoEleProbeTrk" + nLayersWords[0], "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_zToEE/") + electronBkgdEstimate.addChannel("TagProbePass", "ZtoEleProbeTrkWithFilter" + nLayersWords[0], "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_zToEE/") + electronBkgdEstimate.addChannel("TagProbePassSS", "ZtoEleProbeTrkWithSSFilter" + nLayersWords[0], "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_zToEE/") + electronBkgdEstimate.addChannel("TagPt35", "ElectronTagPt55" + nLayersWords[0], "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_electronTagPT/") + electronBkgdEstimate.addChannel("TagPt35MetTrig", "ElectronTagPt55MetTrig" + nLayersWords[0], "EGamma_2022" + runPeriod, dirs['Mike'] + "EGamma_2022/EGamma_2022F_electronTagPT/") + + '''if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # HEM 15/16 issue; veto MET in phi range + electronBkgdEstimate.addChannel("TagPt35MetTrigHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWords[0], "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto")''' + + for iBin in range(1, len(nLayersWords)): + electronBkgdEstimate.appendChannel("TagProbe", "ZtoEleProbeTrk" + nLayersWords[iBin], "EGamma_2022" + runPeriod, dirs['Mike']+"2022/fromLPC/eleBkgdNoFilterBinnedLayers") + electronBkgdEstimate.appendChannel("TagProbePass", "ZtoEleProbeTrkWithFilter" + nLayersWords[iBin], "EGamma_rereco_2022" + runPeriod, dirs['Mike']+"2022/fromLPC/eleBkgdWithFilterBinnedLayers") + electronBkgdEstimate.appendChannel("TagProbePassSS", "ZtoEleProbeTrkWithSSFilter" + nLayersWords[iBin], "EGamma_rereco_2022" + runPeriod, dirs['Mike']+"2022/fromLPC/eleBkgdWithFilterBinnedLayers") + electronBkgdEstimate.appendChannel("TagPt35", "ElectronTagPt55" + nLayersWords[iBin], "EGamma_2022" + runPeriod, dirs['Mike']+"2022/fromLPC/electronControlRegionBinnedLayers") + electronBkgdEstimate.appendChannel("TagPt35MetTrig", "ElectronTagPt55MetTrig" + nLayersWords[iBin], "EGamma_2022" + runPeriod, dirs['Mike']+"2022/fromLPC/electronControlRegionBinnedLayers") + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # HEM 15/16 issue; veto MET in phi range + electronBkgdEstimate.appendChannel("TagPt35MetTrigHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") + + electronBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... + electronBkgdEstimate.addRebinFactor(4) + + print("********************************************************************************") + + nEstElectron[("combinedBins", runPeriod)] = electronBkgdEstimate.printNest() + electronBkgdEstimate.printPpassVetoTagProbe() + + print("********************************************************************************") + + fout.Close() + + print("\n\n") + + '''for nLayersWord in nLayersWords: + + print("********************************************************************************") + print("performing electron background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("electronBkgdEstimate_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") + + electronBkgdEstimate = LeptonBkgdEstimate("electron") + electronBkgdEstimate.addMetCut(120.0) + electronBkgdEstimate.addTFile(fout) + electronBkgdEstimate.addTCanvas(canvas) + electronBkgdEstimate.addPrescaleFactor(lumi["MET_2018" + runPeriod] / lumi["EGamma_2018" + runPeriod]) + electronBkgdEstimate.addLuminosityInInvPb(lumi["MET_2018" + runPeriod]) + electronBkgdEstimate.addLuminosityLabel(str(round(lumi["EGamma_2018" + runPeriod] / 1000.0, 2)) + " fb^{-1}(13 TeV)") + electronBkgdEstimate.addPlotLabel("EGamma 2018" + runPeriod) + + electronBkgdEstimate.useExternalFlatTriggerEfficiency (Measurement (0.840, 0.005)) + + if False: + if runPeriod == 'AB': + electronBkgdEstimate.useExternalTriggerEfficiency (47952, 118, 50044, 141) + #if nLayersWord is 'NLayers4': electronBkgdEstimate.useExternalTriggerEfficiency (647, 12, 812, 29) + #elif nLayersWord is 'NLayers5': electronBkgdEstimate.useExternalTriggerEfficiency (1572, 10, 1702, 12) + #elif nLayersWord is 'NLayers6plus': electronBkgdEstimate.useExternalTriggerEfficiency (45733, 96, 47532, 100) + elif runPeriod == 'CD': + electronBkgdEstimate.useExternalTriggerEfficiency (67485, 137, 70422, 167) + #if nLayersWord is 'NLayers4': electronBkgdEstimate.useExternalTriggerEfficiency (920, 24, 1131, 46) + #elif nLayersWord is 'NLayers5': electronBkgdEstimate.useExternalTriggerEfficiency (2137, 10, 2323, 14) + #elif nLayersWord is 'NLayers6plus': electronBkgdEstimate.useExternalTriggerEfficiency (64428, 103, 66968, 107) + + electronBkgdEstimate.addChannel("TagProbe", "ZtoEleProbeTrk" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdNoFilterBinnedLayers") + electronBkgdEstimate.addChannel("TagProbePass", "ZtoEleProbeTrkWithFilter" + nLayersWord, "EGamma_rereco_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdWithFilterBinnedLayers") + electronBkgdEstimate.addChannel("TagProbePassSS", "ZtoEleProbeTrkWithSSFilter" + nLayersWord, "EGamma_rereco_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/eleBkgdWithFilterBinnedLayers") + electronBkgdEstimate.addChannel("TagPt35", "ElectronTagPt55" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/electronControlRegionBinnedLayers") + electronBkgdEstimate.addChannel("TagPt35MetTrig", "ElectronTagPt55MetTrig" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai']+"2018/fromLPC/electronControlRegionBinnedLayers") + + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # HEM 15/16 issue; veto MET in phi range + electronBkgdEstimate.addChannel("TagPt35MetTrigHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") + + electronBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... + electronBkgdEstimate.addRebinFactor(4) + + print("********************************************************************************") + + nEstElectron[(nLayersWord, runPeriod)] = electronBkgdEstimate.printNest() + electronBkgdEstimate.printPpassVetoTagProbe() + + print("********************************************************************************") + + fout.Close() + + print("\n\n")''' + + if background == "MUON" or background == "LEPTON" or background == "ALL": + + if combineLayers: + + print("********************************************************************************") + print("performing muon background estimate in search region(2018", runPeriod, "-- combined layer bins)") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("muonBkgdEstimate_2018" + runPeriod + "_combinedBins.root", "recreate") + + muonBkgdEstimate = LeptonBkgdEstimate("muon") + muonBkgdEstimate.addMetCut(120.0) + muonBkgdEstimate.addTFile(fout) + muonBkgdEstimate.addTCanvas(canvas) + muonBkgdEstimate.addPrescaleFactor(lumi["MET_2018" + runPeriod] / lumi["SingleMuon_2018" + runPeriod]) + muonBkgdEstimate.addLuminosityInInvPb(lumi["MET_2018" + runPeriod]) + muonBkgdEstimate.addLuminosityLabel(str(round(lumi["SingleMuon_2018" + runPeriod] / 1000.0, 2)) + " fb^{-1}(13 TeV)") + muonBkgdEstimate.addPlotLabel("SingleMuon 2018" + runPeriod) + + muonBkgdEstimate.addChannel("TagProbe", "ZtoMuProbeTrk" + nLayersWords[0], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWords[0]) + muonBkgdEstimate.addChannel("TagProbePass", "ZtoMuProbeTrkWithFilter" + nLayersWords[0], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWords[0]) + muonBkgdEstimate.addChannel("TagProbePassSS", "ZtoMuProbeTrkWithSSFilter" + nLayersWords[0], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWords[0]) + muonBkgdEstimate.addChannel("TagPt35", "MuonTagPt55" + nLayersWords[0], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion") + muonBkgdEstimate.addChannel("TagPt35MetTrig", "MuonTagPt55MetTrig" + nLayersWords[0], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion") + + + for iBin in range(1, len(nLayersWords)): + muonBkgdEstimate.appendChannel("TagProbe", "ZtoMuProbeTrk" + nLayersWords[iBin], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWords[iBin]) + muonBkgdEstimate.appendChannel("TagProbePass", "ZtoMuProbeTrkWithFilter" + nLayersWords[iBin], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWords[iBin]) + muonBkgdEstimate.appendChannel("TagProbePassSS", "ZtoMuProbeTrkWithSSFilter" + nLayersWords[iBin], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWords[iBin]) + muonBkgdEstimate.appendChannel("TagPt35", "MuonTagPt55" + nLayersWords[iBin], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion") + muonBkgdEstimate.appendChannel("TagPt35MetTrig", "MuonTagPt55MetTrig" + nLayersWords[iBin], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion") + + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # only NLayers6plus has any events passing in CD, so these aren't in the above block -- they're the only channels, so no "appendChannel" + # HEM 15/16 issue; veto MET in phi range + #muonBkgdEstimate.addChannel("TagPt35HEMveto", "MuonTagPt55HEMvetoNLayers6plus", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion_HEMveto_NLayers6plus") + muonBkgdEstimate.addChannel("TagPt35MetTrigHEMveto", "MuonTagPt55MetTrigHEMvetoNLayers6plus", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion_HEMveto_NLayers6plus") + + muonBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... + muonBkgdEstimate.addRebinFactor(4) + + print("********************************************************************************") + + nEstMuon[("combinedBins", runPeriod)] = muonBkgdEstimate.printNest() + muonBkgdEstimate.printPpassVetoTagProbe() + + combinedPpassMetCut = muonBkgdEstimate.getPpassMetCut() + combinedPpassMetTriggers, combinedTriggerEfficiency = muonBkgdEstimate.getPpassMetTriggers() + + combinedPpassHEMveto = None + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + combinedPpassHEMveto = muonBkgdEstimate.getPpassHEMveto() + + print("********************************************************************************") + + fout.Close() + + print("\n\n") + + for nLayersWord in nLayersWords: + + print("********************************************************************************") + print("performing muon background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("muonBkgdEstimate_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") + + muonBkgdEstimate = LeptonBkgdEstimate("muon") + muonBkgdEstimate.addMetCut(120.0) + muonBkgdEstimate.addTFile(fout) + muonBkgdEstimate.addTCanvas(canvas) + muonBkgdEstimate.addPrescaleFactor(lumi["MET_2018" + runPeriod] / lumi["SingleMuon_2018" + runPeriod]) + muonBkgdEstimate.addLuminosityInInvPb(lumi["MET_2018" + runPeriod]) + muonBkgdEstimate.addLuminosityLabel(str(round(lumi["SingleMuon_2018" + runPeriod] / 1000.0, 2)) + " fb^{-1}(13 TeV)") + muonBkgdEstimate.addPlotLabel("SingleMuon 2018" + runPeriod) + + muonBkgdEstimate.useExternalFlatTriggerEfficiency (Measurement (0.940, 0.004)) + + if False: + if runPeriod == 'AB': + muonBkgdEstimate.useExternalTriggerEfficiency (390778, 58, 412351, 139) + #if nLayersWord is 'NLayers4': muonBkgdEstimate.useExternalTriggerEfficiency (22, 2, 132, 49) # >55 GeV (0-0)/(17 - 24) --> NaN + #elif nLayersWord is 'NLayers5': muonBkgdEstimate.useExternalTriggerEfficiency (30, 0, 92, 5) # >55 GeV (0-0)/(2 - 3) --> NaN + #elif nLayersWord is 'NLayers6plus': muonBkgdEstimate.useExternalTriggerEfficiency (390778, 58, 412332, 63) + elif runPeriod == 'CD': + muonBkgdEstimate.useExternalTriggerEfficiency (430356, 44, 452247, 75) + #if nLayersWord is 'NLayers4': muonBkgdEstimate.useExternalTriggerEfficiency (5, 2, 101, 65) # >55 GeV (0-0)/(20-24) --> NaN + #elif nLayersWord is 'NLayers5': muonBkgdEstimate.useExternalTriggerEfficiency (6, 0, 94, 8) # >55 GeV (0-0)/(5-3) --> NaN + #elif nLayersWord is 'NLayers6plus': muonBkgdEstimate.useExternalTriggerEfficiency (430356, 44, 452222, 48) + + muonBkgdEstimate.addChannel("TagProbe", "ZtoMuProbeTrk" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWord) + muonBkgdEstimate.addChannel("TagProbePass", "ZtoMuProbeTrkWithFilter" + nLayersWord, "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWord) + muonBkgdEstimate.addChannel("TagProbePassSS", "ZtoMuProbeTrkWithSSFilter" + nLayersWord, "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/muonBackground_" + nLayersWord) + muonBkgdEstimate.addChannel("TagPt35", "MuonTagPt55" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion") + muonBkgdEstimate.addChannel("TagPt35MetTrig", "MuonTagPt55MetTrig" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion") + + if runPeriod in ['C', 'D', 'CD'] and nLayersWord == "NLayers6plus" and applyHEMveto: + # only NLayers6plus has any events passing in CD + # HEM 15/16 issue; veto MET in phi range + #muonBkgdEstimate.addChannel("TagPt35HEMveto", "MuonTagPt55HEMvetoNLayers6plus", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion_HEMveto_NLayers6plus") + muonBkgdEstimate.addChannel("TagPt35MetTrigHEMveto", "MuonTagPt55MetTrigHEMvetoNLayers6plus", "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/muonControlRegion_HEMveto_NLayers6plus") + + muonBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... + muonBkgdEstimate.addRebinFactor(4) + + print("********************************************************************************") + + nEstMuon[(nLayersWord, runPeriod)] = muonBkgdEstimate.printNest() + muonBkgdEstimate.printPpassVetoTagProbe() + + print("********************************************************************************") + + if nLayersWord == "NLayers4" or nLayersWord == "NLayers5": + print("using the combined 4/5/6+ layers sample for Poffline and Ptrigger:") + nEstMuon[(nLayersWord, runPeriod)] = muonBkgdEstimate.printNestCombinedMet(combinedPpassMetCut, combinedPpassMetTriggers, combinedPpassHEMveto) + + print("********************************************************************************") + + fout.Close() + + print("\n\n") + + if background == "TAU" or background == "LEPTON" or background == "ALL": + + if combineLayers: + + print("********************************************************************************") + print("performing tau background estimate in search region(2018", runPeriod, "-- combined layer bins)") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("tauBkgdEstimate_2018" + runPeriod + "_combinedBins.root", "recreate") + + tauBkgdEstimate = LeptonBkgdEstimate("tau") + tauBkgdEstimate.addMetCut(120.0) + tauBkgdEstimate.addTFile(fout) + tauBkgdEstimate.addTCanvas(canvas) + tauBkgdEstimate.addPrescaleFactor(lumi["MET_2018" + runPeriod] / lumi["HLT_MediumChargedIsoPFTau50_Trk30_eta2p1_1pr_v*"]["Tau_2018" + runPeriod]) + tauBkgdEstimate.addLuminosityInInvPb(lumi["MET_2018" + runPeriod]) + tauBkgdEstimate.addLuminosityLabel(str(round(lumi["HLT_MediumChargedIsoPFTau50_Trk30_eta2p1_1pr_v*"]["Tau_2018" + runPeriod] / 1000.0, 2)) + " fb^{-1}(13 TeV)") + tauBkgdEstimate.addPlotLabel("Tau 2018" + runPeriod) + + tauBkgdEstimate.addChannel("TagProbe", "ZtoTauToMuProbeTrk" + nLayersWords[0], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.addChannel("TagProbePass", "ZtoTauToMuProbeTrkWithFilter" + nLayersWords[0], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.addChannel("TagProbePassSS", "ZtoTauToMuProbeTrkWithSSFilter" + nLayersWords[0], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.addChannel("TagProbe1", "ZtoTauToEleProbeTrk" + nLayersWords[0], "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.addChannel("TagProbePass1", "ZtoTauToEleProbeTrkWithFilter" + nLayersWords[0], "EGamma_rereco_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.addChannel("TagProbePassSS1", "ZtoTauToEleProbeTrkWithSSFilter" + nLayersWords[0], "EGamma_rereco_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.addChannel("TagPt35", "TauTagPt55" + nLayersWords[0], "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + tauBkgdEstimate.addChannel("TagPt35MetTrig", "TauTagPt55MetTrig" + nLayersWords[0], "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + tauBkgdEstimate.addChannel("TrigEffDenom", "ElectronTagPt55" + nLayersWords[0], "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/electronControlRegionBinnedLayers") + tauBkgdEstimate.addChannel("TrigEffNumer", "ElectronTagPt55MetTrig" + nLayersWords[0], "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/electronControlRegionBinnedLayers") + tauBkgdEstimate.addChannel("TagPt35MetL1Trig", "TauTagPt55" + nLayersWords[0], "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # HEM 15/16 issue; veto MET in phi range + tauBkgdEstimate.addChannel("TrigEffNumerHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWords[0], "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") + + for iBin in range(1, len(nLayersWords)): + tauBkgdEstimate.appendChannel("TagProbe", "ZtoTauToMuProbeTrk" + nLayersWords[iBin], "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.appendChannel("TagProbePass", "ZtoTauToMuProbeTrkWithFilter" + nLayersWords[iBin], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.appendChannel("TagProbePassSS", "ZtoTauToMuProbeTrkWithSSFilter" + nLayersWords[iBin], "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.appendChannel("TagProbe1", "ZtoTauToEleProbeTrk" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.appendChannel("TagProbePass1", "ZtoTauToEleProbeTrkWithFilter" + nLayersWords[iBin], "EGamma_rereco_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.appendChannel("TagProbePassSS1", "ZtoTauToEleProbeTrkWithSSFilter" + nLayersWords[iBin], "EGamma_rereco_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.appendChannel("TagPt35", "TauTagPt55" + nLayersWords[iBin], "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + tauBkgdEstimate.appendChannel("TagPt35MetTrig", "TauTagPt55MetTrig" + nLayersWords[iBin], "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + tauBkgdEstimate.appendChannel("TrigEffDenom", "ElectronTagPt55" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/electronControlRegionBinnedLayers") + tauBkgdEstimate.appendChannel("TrigEffNumer", "ElectronTagPt55MetTrig" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/electronControlRegionBinnedLayers") + tauBkgdEstimate.appendChannel("TagPt35MetL1Trig", "TauTagPt55" + nLayersWords[iBin], "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # HEM 15/16 issue; veto MET in phi range + tauBkgdEstimate.appendChannel("TrigEffNumerHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWords[iBin], "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") + + tauBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... + tauBkgdEstimate.addRebinFactor(8) + + print("********************************************************************************") + + nEstTau[("combinedBins", runPeriod)] = tauBkgdEstimate.printNest() + tauBkgdEstimate.printPpassVetoTagProbe() + + combinedPpassMetCut = tauBkgdEstimate.getPpassMetCut() + combinedPpassMetTriggers, combinedTriggerEfficiency = tauBkgdEstimate.getPpassMetTriggers() + + combinedPpassHEMveto = None + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + combinedPpassHEMveto = tauBkgdEstimate.getPpassHEMveto() + + print("********************************************************************************") + + fout.Close() + + print("\n\n") + + for nLayersWord in nLayersWords: + + print("********************************************************************************") + print("performing tau background estimate in search region(2018", runPeriod, "--", nLayersWord, ")") + print("--------------------------------------------------------------------------------") + + fout = TFile.Open("tauBkgdEstimate_2018" + runPeriod + "_" + nLayersWord + ".root", "recreate") + + tauBkgdEstimate = LeptonBkgdEstimate("tau") + tauBkgdEstimate.addMetCut(120.0) + tauBkgdEstimate.addTFile(fout) + tauBkgdEstimate.addTCanvas(canvas) + tauBkgdEstimate.addPrescaleFactor(lumi["MET_2018" + runPeriod] / lumi["HLT_MediumChargedIsoPFTau50_Trk30_eta2p1_1pr_v*"]["Tau_2018" + runPeriod]) + tauBkgdEstimate.addLuminosityInInvPb(lumi["MET_2018" + runPeriod]) + tauBkgdEstimate.addLuminosityLabel(str(round(lumi["HLT_MediumChargedIsoPFTau50_Trk30_eta2p1_1pr_v*"]["Tau_2018" + runPeriod] / 1000.0, 2)) + " fb^{-1}(13 TeV)") + tauBkgdEstimate.addPlotLabel("Tau 2018" + runPeriod) + + tauBkgdEstimate.useExternalFlatTriggerEfficiency (Measurement (0.900, 0.006)) + + if runPeriod == '2018': + # Can only find 3/38 events in SingleMuon 2018A + if nLayersWord == 'NLayers4': + tauBkgdEstimate.addTagProbePass1ScaleFactor(121./94.) + if nLayersWord == 'NLayers5': + tauBkgdEstimate.addTagProbePass1ScaleFactor(28./21.) + if nLayersWord == 'NLayers6plus': + tauBkgdEstimate.addTagProbePass1ScaleFactor(21./20.) + + tauBkgdEstimate.addChannel("TagProbe", "ZtoTauToMuProbeTrk" + nLayersWord, "SingleMu_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.addChannel("TagProbePass", "ZtoTauToMuProbeTrkWithFilter" + nLayersWord, "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.addChannel("TagProbePassSS", "ZtoTauToMuProbeTrkWithSSFilter" + nLayersWord, "SingleMu_rereco_2018" + runPeriod, dirs['Brian'] + "2018/ZtoTauToMuProbeTrk") + tauBkgdEstimate.addChannel("TagProbe1", "ZtoTauToEleProbeTrk" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.addChannel("TagProbePass1", "ZtoTauToEleProbeTrkWithFilter" + nLayersWord, "EGamma_rereco_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.addChannel("TagProbePassSS1", "ZtoTauToEleProbeTrkWithSSFilter" + nLayersWord, "EGamma_rereco_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/ZtoTauToEleProbeTrk") + tauBkgdEstimate.addChannel("TagPt35", "TauTagPt55" + nLayersWord, "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + tauBkgdEstimate.addChannel("TagPt35MetTrig", "TauTagPt55MetTrig" + nLayersWord, "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + tauBkgdEstimate.addChannel("TrigEffDenom", "ElectronTagPt55" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/electronControlRegionBinnedLayers") + tauBkgdEstimate.addChannel("TrigEffNumer", "ElectronTagPt55MetTrig" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Kai'] + "2018/fromLPC/electronControlRegionBinnedLayers") + tauBkgdEstimate.addChannel("TagPt35MetL1Trig", "TauTagPt55" + nLayersWord, "Tau_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/TauControlRegion") + + if runPeriod in ['C', 'D', 'CD'] and applyHEMveto: + # HEM 15/16 issue; veto MET in phi range + tauBkgdEstimate.addChannel("TrigEffNumerHEMveto", "ElectronTagPt55MetTrigHEMveto" + nLayersWord, "EGamma_2018" + runPeriod, dirs['Brian'] + "2018/fromLPC/electronControlRegion_HEMveto") + + tauBkgdEstimate.useOnlineQuantitiesForPpassMetTriggers(False) # doesn't work without a custom HLT menu and full re-reco... + tauBkgdEstimate.addRebinFactor(8) + + print("********************************************************************************") + + nEstTau[(nLayersWord, runPeriod)] = tauBkgdEstimate.printNest() + tauBkgdEstimate.printPpassVetoTagProbe() + + print("********************************************************************************") + + if nLayersWord == "NLayers4" or nLayersWord == "NLayers5": + print("using the combined 4/5/6+ layers sample for Poffline and Ptrigger:") + nEstTau[(nLayersWord, runPeriod)] = tauBkgdEstimate.printNestCombinedMet(combinedPpassMetCut, combinedPpassMetTriggers, combinedPpassHEMveto) + + print("********************************************************************************") + + fout.Close() + + print("\n\n") + +sys.stdout = stdout + +# print sums +if background == "ALL": + prettyPrintTotals(nEstElectron, nEstMuon, nEstTau, nEstFake, nLayersWords, runPeriods, '2018') + fout = TFile.Open("backgroundCrossSections_2018.root", "recreate") + for nLayersWord in nLayersWords: + x = array("d"); ex = array("d") + electron = array ("d"); muon = array ("d"); tau = array ("d"); fake = array ("d") + eElectron = array ("d"); eMuon = array ("d"); eTau = array ("d"); eFake = array ("d") + + runPeriodsToPlot = ['AB', 'CD'] + i = 0.0 + + for runPeriod in runPeriodsToPlot: + x.append(i) + ex.append(0.0) + i += 1.0 + + electron.append(nEstElectron[(nLayersWord, runPeriod)].centralValue() / lumi["MET_2018" + runPeriod]) + muon.append (nEstMuon [(nLayersWord, runPeriod)].centralValue() / lumi["MET_2018" + runPeriod]) + tau.append (nEstTau [(nLayersWord, runPeriod)].centralValue() / lumi["MET_2018" + runPeriod]) + fake.append (nEstFake [(nLayersWord, runPeriod)].centralValue() / lumi["MET_2018" + runPeriod]) + + eElectron.append(nEstElectron[(nLayersWord, runPeriod)].maxUncertainty() / lumi["MET_2018" + runPeriod]) + eMuon.append (nEstMuon [(nLayersWord, runPeriod)].maxUncertainty() / lumi["MET_2018" + runPeriod]) + eTau.append (nEstTau [(nLayersWord, runPeriod)].maxUncertainty() / lumi["MET_2018" + runPeriod]) + eFake.append (nEstFake [(nLayersWord, runPeriod)].maxUncertainty() / lumi["MET_2018" + runPeriod]) + + gElectron = TGraphErrors(len(x), x, electron, ex, eElectron) + gMuon = TGraphErrors(len(x), x, muon, ex, eMuon) + gTau = TGraphErrors(len(x), x, tau, ex, eTau) + gFake = TGraphErrors(len(x), x, fake, ex, eFake) + + fout.mkdir(nLayersWord) + fout.cd(nLayersWord) + + gElectron.Write("electron") + gMuon.Write("muon") + gTau.Write("tau") + gFake.Write("fake") + + fout.cd() + + fout.Close() diff --git a/BackgroundEstimation/test/config_2022_cfg.py b/BackgroundEstimation/test/config_2022_cfg.py index 4b0937326..8d1051463 100644 --- a/BackgroundEstimation/test/config_2022_cfg.py +++ b/BackgroundEstimation/test/config_2022_cfg.py @@ -1,8 +1,12 @@ from DisappTrks.BackgroundEstimation.config_cfg import * from DisappTrks.StandardAnalysis.customize import * -if not os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): - print("Please use a CMSSW_12_4_X release...") +if not os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") and not os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + print("Please use a CMSSW_12_4_X or CMSSW_13_0_X release...") sys.exit (0) -process = customize (process, "2022", applyPUReweighting = False, applyTriggerReweighting = False, applyMissingHitsCorrections = False, runMETFilters = False) +process = customize (process, "2022", "G", realData=False, applyPUReweighting = False, applyISRReweighting = False, applyTriggerReweighting = False, applyMissingHitsCorrections = False, runMETFilters = False) + +process.maxEvents = cms.untracked.PSet ( + input = cms.untracked.int32 (100) +) diff --git a/BackgroundEstimation/test/createFiducialMaps.py b/BackgroundEstimation/test/createFiducialMaps.py index 1cc827199..bf97159d6 100755 --- a/BackgroundEstimation/test/createFiducialMaps.py +++ b/BackgroundEstimation/test/createFiducialMaps.py @@ -14,6 +14,7 @@ canvas = TCanvas("c1", "c1", 800, 800) selectionNames = ['FiducialCalcBefore', 'FiducialCalcAfter'] +sim = False # Will use Dataset_runPeriod.root runPeriods = ['2015'] @@ -25,12 +26,16 @@ if os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): runPeriods = ['2018A', '2018B', '2018C', '2018D', '2018'] selectionNames = ['FiducialCalcBeforeOldCuts', 'FiducialCalcAfterOldCuts'] +if os.environ['CMSSW_VERSION'].startswith('CMSSW_12') or os.environ['CMSSW_VERSION'].startswith('CMSSW_13'): + runPeriods = ['2022G'] + selectionNames = ['FiducialCalcBeforeOldCuts', 'FiducialCalcAfterOldCuts'] + #selectionNames = ['FiducialCalcBeforeOldCuts', 'DeepSetsAfter'] for runPeriod in runPeriods: - print "********************************************************************************" - print "Calculating electron fiducial map in search region", runPeriod - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("Calculating electron fiducial map in search region", runPeriod) + print("--------------------------------------------------------------------------------") condorDirectory = dirs['Brian'] + "2015/eleHotSpots" datasetName = "SingleEle" @@ -41,6 +46,14 @@ if '2018' in runPeriod: condorDirectory = dirs['Brian'] + "2018/fromLPC/eleHotSpots" datasetName = "EGamma" + if '2022' in runPeriod: + if sim: + #condorDirectory = dirs['Mike'] + 'sim/DYJets_M50_deepSets' + condorDirectory = dirs['Mike'] + 'sim/DY_Jets_M50_deepSets_v2' + datasetName = 'DYJetsToLL_M50_merged' + else: + condorDirectory = dirs['Mike'] + f'/abyss/EGamma_2022/EGamma_{runPeriod}_fiducialMap/' + datasetName = 'EGamma' fout = TFile.Open("newElectronFiducialMap_" + runPeriod + ".root", "recreate") @@ -48,14 +61,18 @@ #electronMap.setVerboseComparison(True) electronMap.addTFile(fout) electronMap.addTCanvas(canvas) - electronMap.addLuminosityInInvPb(lumi[datasetName + "_" + runPeriod]) - electronMap.addChannel("Denominator", "Electron" + selectionNames[0], datasetName + "_" + runPeriod, condorDirectory) - electronMap.addChannel("Numerator", "Electron" + selectionNames[1], datasetName + "_" + runPeriod, condorDirectory) + fname = datasetName + if not sim: + electronMap.addLuminosityInInvPb(lumi[datasetName + "_" + runPeriod]) + fname += '_' + runPeriod + electronMap.addChannel("Denominator", "Electron" + selectionNames[0], fname, condorDirectory) + electronMap.addChannel("Numerator", "Electron" + selectionNames[1], fname, condorDirectory) electronMap.CalculateFiducialMap() electronMap.MakePlots() - electronMap.CompareFiducialMap() - print "********************************************************************************" - print "\n\n" + if not sim: + electronMap.CompareFiducialMap() + print("********************************************************************************") + print("\n\n") fout.Close() @@ -66,10 +83,12 @@ condorDirectory = dirs['Brian'] + "2017/muonHotSpots" if '2018' in runPeriod: condorDirectory = dirs['Brian'] + "2018/fromLPC/muonHotSpots" + if '2022' in runPeriod: + condorDirectory = dirs['Mike'] + f'abyss/Muon_2022/Muon_{runPeriod}_fiducialMap/' - print "********************************************************************************" - print "Calculating muon fiducial map in search region", runPeriod - print "--------------------------------------------------------------------------------" + print("********************************************************************************") + print("Calculating muon fiducial map in search region", runPeriod) + print("--------------------------------------------------------------------------------") fout = TFile.Open("newMuonFiducialMap_" + runPeriod + ".root", "recreate") @@ -77,14 +96,14 @@ #muonMap.setVerboseComparison(True) muonMap.addTFile(fout) muonMap.addTCanvas(canvas) - muonMap.addLuminosityInInvPb(lumi["SingleMuon_" + runPeriod]) - muonMap.addChannel("Denominator", "Muon" + selectionNames[0], "SingleMu_" + runPeriod, condorDirectory) - muonMap.addChannel("Numerator", "Muon" + selectionNames[1], "SingleMu_" + runPeriod, condorDirectory) + muonMap.addLuminosityInInvPb(lumi["Muon_" + runPeriod]) + muonMap.addChannel("Denominator", "Muon" + selectionNames[0], "Muon_" + runPeriod, condorDirectory) + muonMap.addChannel("Numerator", "Muon" + selectionNames[1], "Muon_" + runPeriod, condorDirectory) muonMap.CalculateFiducialMap() muonMap.MakePlots() muonMap.CompareFiducialMap() - print "********************************************************************************" - print "\n\n" + print("********************************************************************************") + print("\n\n") fout.Close() @@ -100,3 +119,6 @@ if os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): remakePayload('Electron', '2018', ['A', 'B', 'C', 'D']) remakePayload('Muon', '2018', ['A', 'B', 'C', 'D']) +#if os.environ['CMSSW_VERSION'].startswith('CMSSW_12') or os.environ['CMSSW_VERSION'].startswith('CMSSW_13'): + #remakePayload('Electron', '2022', ['F']) + #remakePayload('Muon', '2022', ['A', 'B', 'C', 'D']) diff --git a/BackgroundEstimation/test/localConfig_2022.py b/BackgroundEstimation/test/localConfig_2022.py index eed962832..9cb708660 100644 --- a/BackgroundEstimation/test/localConfig_2022.py +++ b/BackgroundEstimation/test/localConfig_2022.py @@ -3,12 +3,12 @@ config_file = "config_2022_cfg.py" # intLumi = lumi["EGamma_2022G"] -intLumi = lumi["Muon_2022F"] +#intLumi = lumi["Muon_2022F"] # datasetsData = ['EGamma_2022G'] datasetsData = ["Muon_2022F"] -datasetsBG = ["WToLNu_4Jets_PostEE"] +#datasetsBG = ["WToLNu_4Jets_PostEE"] # datasetsBG = ["DYJetsToLL_M50_PostEE"] # datasetsBG = ["WW_PostEE"] # datasetsBG = ["WZ_PostEE"] @@ -16,6 +16,7 @@ # datasetsBG = ["TTto2L2Nu_PostEE"] # datasetsBG = ["TTtoLNu2Q_PostEE"] # datasetsBG = ["TTto4Q_PostEE"] +datasetsBG = ["DYJetsToLL_M50_merged"] #datasets = datasetsBkgd + datasetsData + datasetsSig # datasets = datasetsData diff --git a/CandidateTrackProducer/BuildFile.xml b/CandidateTrackProducer/BuildFile.xml index b211129db..2a4aad45b 100644 --- a/CandidateTrackProducer/BuildFile.xml +++ b/CandidateTrackProducer/BuildFile.xml @@ -4,7 +4,7 @@ - + diff --git a/CandidateTrackProducer/plugins/BuildFile.xml b/CandidateTrackProducer/plugins/BuildFile.xml index a8dc741b2..f28da5e93 100644 --- a/CandidateTrackProducer/plugins/BuildFile.xml +++ b/CandidateTrackProducer/plugins/BuildFile.xml @@ -18,6 +18,6 @@ - + diff --git a/CandidateTrackProducer/plugins/CandidateTrackProducer.h b/CandidateTrackProducer/plugins/CandidateTrackProducer.h index beafb0987..f9d84f912 100644 --- a/CandidateTrackProducer/plugins/CandidateTrackProducer.h +++ b/CandidateTrackProducer/plugins/CandidateTrackProducer.h @@ -19,7 +19,7 @@ // // user include files -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" #include "FWCore/ParameterSet/interface/ParameterSet.h" @@ -49,7 +49,7 @@ struct CaloEnergy double eHad; }; -class CandidateTrackProducer : public edm::EDFilter { +class CandidateTrackProducer : public edm::stream::EDFilter<> { public: explicit CandidateTrackProducer (const edm::ParameterSet&); ~CandidateTrackProducer (); diff --git a/CandidateTrackProducer/plugins/MinimalSkimFilter.h b/CandidateTrackProducer/plugins/MinimalSkimFilter.h index 66f38bb86..02da6005c 100644 --- a/CandidateTrackProducer/plugins/MinimalSkimFilter.h +++ b/CandidateTrackProducer/plugins/MinimalSkimFilter.h @@ -1,5 +1,5 @@ #include "FWCore/Common/interface/TriggerNames.h" -#include "FWCore/Framework/interface/one/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Run.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -29,7 +29,7 @@ using namespace std; enum MinimalSkim {MET, ELECTRON, MUON, TAU}; template -class MinimalSkimFilter : public edm::one::EDFilter { +class MinimalSkimFilter : public edm::stream::EDFilter<> { public: MinimalSkimFilter (const edm::ParameterSet &); ~MinimalSkimFilter (); diff --git a/CandidateTrackProducer/plugins/TagProbeFilter.h b/CandidateTrackProducer/plugins/TagProbeFilter.h index 98436bcf3..3fcab4cfc 100644 --- a/CandidateTrackProducer/plugins/TagProbeFilter.h +++ b/CandidateTrackProducer/plugins/TagProbeFilter.h @@ -1,5 +1,5 @@ #include "FWCore/Common/interface/TriggerNames.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Run.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -26,7 +26,7 @@ using namespace std; enum Flavor {ELECTRON, MUON, TAUTOELECTRON, TAUTOMUON}; template -class TagProbeFilter : public edm::EDFilter { +class TagProbeFilter : public edm::stream::EDFilter<> { public: TagProbeFilter (const edm::ParameterSet &); ~TagProbeFilter (); diff --git a/CandidateTrackProducer/plugins/ZToLLFilter.h b/CandidateTrackProducer/plugins/ZToLLFilter.h index 5e6a7ac3c..0de7172f1 100644 --- a/CandidateTrackProducer/plugins/ZToLLFilter.h +++ b/CandidateTrackProducer/plugins/ZToLLFilter.h @@ -1,5 +1,5 @@ #include "FWCore/Common/interface/TriggerNames.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Run.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -24,7 +24,7 @@ using namespace std; enum Flavor {ELECTRON, MUON}; template -class ZToLLFilter : public edm::EDFilter { +class ZToLLFilter : public edm::stream::EDFilter<> { public: ZToLLFilter (const edm::ParameterSet &); ~ZToLLFilter (); diff --git a/LimitSetting/python/bkgdConfig_2022F_NLayers4.py b/LimitSetting/python/bkgdConfig_2022F_NLayers4.py new file mode 100644 index 000000000..7cee8e3f7 --- /dev/null +++ b/LimitSetting/python/bkgdConfig_2022F_NLayers4.py @@ -0,0 +1,83 @@ +#!/usr/bin/env python3 + +lumiScaling = (5010.409016184 + 2970.045129108 + 5806.955207286 + 17781.598893382 + 3082.753035617 + 17794.0 + 9451.0) / (14024.176505487 + 7060.764380203) # target_lumi / 2018AB_lumi + +# Bkgd configuration file for limit-setting produced with makeANTables.py + +backgrounds = { + 'Fake' : { + 'N' : str(round(175*lumiScaling)), # '175', + 'alpha' : '0.0354151132521', + }, + 'Elec' : { + 'N' : str(round(2436*lumiScaling)), # '2436', + 'alpha' : '0.000406325164861', + }, + 'Muon' : { + 'N' : str(round(2*lumiScaling)), # '2', + 'alpha' : '0.0439062314998', + }, + 'Tau' : { + 'N' : str(round(0*lumiScaling)), # '0', + 'alpha' : '0.0035259179802', + }, +} + +# Still using 2018AB values; NEEDS TO BE UPDATED +background_systematics = { + 'Fake_alpha_NLayers4' : { # error on alpha + 'value' : '1.00074624437', + 'background' : 'Fake', + }, + 'Elec_alpha_NLayers4' : { # error on alpha + 'value' : '1.62439135989', + 'background' : 'Elec', + }, + 'Muon_alpha_NLayers4' : { # error on alpha + 'value' : '0.000001/2.04721541252', # 0 --> 0.000001 numerical safety + 'background' : 'Muon', + }, + 'Tau_alpha_NLayers4' : { # error on alpha + 'value' : '0.000001/2.92516712991', # 0 --> 0.000001 numerical safety + 'background' : 'Tau', + }, + + 'Fake_syst_fit' : { # error from fit + # correlated! between nlayers since it's the same value + 'value' : '1.52067687913', + 'background' : 'Fake', + }, + 'Fake_syst_sampleDiff_NLayers4' : { # difference between ZtoMuMu and ZtoEE methods + 'value' : str (1.0 + abs(6.2 - 7.59) / 6.2), + 'background' : 'Fake', + }, + + 'Elec_energy_NLayers4' : { # error on energy assumption + 'value' : str (1.0 + 14.4101362584 / 100.0), + 'background' : 'Elec', + }, + 'Tau_energy_NLayers4' : { # error on energy assumption + 'value' : str (1.0 + 24.8215525905 / 100.0), + 'background' : 'Tau', + }, + + 'Muon_lowStatPoffline_NLayers4' : { + 'value' : '1.0/' + str(1.0 + abs((0.7517 - 0.714) / 0.7517)), + 'background' : 'Muon', + }, + 'Tau_lowStatPoffline_NLayers4' : { + 'value' : '1.0/' + str(1.0 + abs((0.7517 - 0.714) / 0.7517)), + 'background' : 'Tau', + }, + + 'Muon_lowStatPtrigger_NLayers4' : { + 'value' : '1.0/' + str(1.0 + abs((0.429 - 0.384) / 0.429)), + 'background' : 'Muon', + }, + 'Tau_lowStatPtrigger_NLayers4' : { + 'value' : '1.0/' + str(1.0 + abs((0.429 - 0.384) / 0.429)), + 'background' : 'Tau', + }, + + +} diff --git a/LimitSetting/python/bkgdConfig_2022F_NLayers5.py b/LimitSetting/python/bkgdConfig_2022F_NLayers5.py new file mode 100644 index 000000000..cd76f0178 --- /dev/null +++ b/LimitSetting/python/bkgdConfig_2022F_NLayers5.py @@ -0,0 +1,80 @@ +#!/usr/bin/env python3 + +lumiScaling = (5010.409016184 + 2970.045129108 + 5806.955207286 + 17781.598893382 + 3082.753035617 + 17794.0 + 9451.0) / (14024.176505487 + 7060.764380203) # target_lumi / 2018AB_lumi + +# Bkgd configuration file for limit-setting produced with makeANTables.py +backgrounds = { + 'Fake' : { + 'N' : str(round(13*lumiScaling)), # '13', + 'alpha' : '0.0354151129416', + }, + 'Elec' : { + 'N' : str(round(5098*lumiScaling)), # '5098', + 'alpha' : '2.95225133864e-05', + }, + 'Muon' : { + 'N' : str(round(0.0*lumiScaling)), # '0', + 'alpha' : '0.0334303587209', + }, + 'Tau' : { + 'N' : str(round(0.0*lumiScaling)), # '0', + 'alpha' : '0.00221629130184', + }, +} + +# Still using 2018AB values; NEEDS TO BE UPDATED +background_systematics = { + 'Fake_alpha_NLayers5' : { # error on alpha + 'value' : '1.00074624437', + 'background' : 'Fake', + }, + 'Elec_alpha_NLayers5' : { # error on alpha + 'value' : '0.000001/2.73537178939', # 0 --> 0.000001 numerical safety + 'background' : 'Elec', + }, + 'Muon_alpha_NLayers5' : { # error on alpha + 'value' : '0.436265235168/1.56373476484', + 'background' : 'Muon', + }, + 'Tau_alpha_NLayers5' : { # error on alpha + 'value' : '0.000001/3.15161960947', # 0 --> 0.000001 numerical safety + 'background' : 'Tau', + }, + + 'Fake_syst_fit' : { # error from fit + # correlated! between nlayers since it's the same value + 'value' : '1.52067231799', + 'background' : 'Fake', + }, + 'Fake_syst_sampleDiff_NLayers5' : { # difference between ZtoMuMu and ZtoEE methods + 'value' : str (1.0 + abs(0.46 - 0.52) / 0.46), + 'background' : 'Fake', + }, + + 'Elec_energy_NLayers5' : { # error on energy assumption + 'value' : str (1.0 + 14.9618157954 / 100.0), + 'background' : 'Elec', + }, + 'Tau_energy_NLayers5' : { # error on energy assumption + 'value' : str (1.0 + 24.8215525905 / 100.0), + 'background' : 'Tau', + }, + + 'Muon_lowStatPoffline_NLayers5' : { + 'value' : '1.0/' + str(1.0 + abs((0.7517 - 0.693) / 0.7517)), + 'background' : 'Muon', + }, + 'Tau_lowStatPoffline_NLayers5' : { + 'value' : '1.0/' + str(1.0 + abs((0.7517 - 0.693) / 0.7517)), + 'background' : 'Tau', + }, + + 'Muon_lowStatPtrigger_NLayers5' : { + 'value' : '1.0/' + str(1.0 + abs((0.429 - 0.416) / 0.429)), + 'background' : 'Muon', + }, + 'Tau_lowStatPtrigger_NLayers5' : { + 'value' : '1.0/' + str(1.0 + abs((0.429 - 0.416) / 0.429)), + 'background' : 'Tau', + }, +} diff --git a/LimitSetting/python/bkgdConfig_2022F_NLayers6plus.py b/LimitSetting/python/bkgdConfig_2022F_NLayers6plus.py new file mode 100644 index 000000000..f48c3d593 --- /dev/null +++ b/LimitSetting/python/bkgdConfig_2022F_NLayers6plus.py @@ -0,0 +1,63 @@ +#!/usr/bin/env python3 + +# Bkgd configuration file for limit-setting produced with makeANTables.py + +lumiScaling = (5010.409016184 + 2970.045129108 + 5806.955207286 + 17781.598893382 + 3082.753035617 + 17794.0 + 9451.0) / (14024.176505487 + 7060.764380203) # target_lumi / 2018AB_lumi + +backgrounds = { + 'Fake' : { + 'N' : str(round(1.0*lumiScaling)), # '1', + 'alpha' : '0.0354151129416', + }, + 'Elec' : { + 'N' : str(round(234700.0*lumiScaling)), # '234700', + 'alpha' : '6.05334846411e-06', + }, + 'Muon' : { + 'N' : str(round(428980.0*lumiScaling)), # '428980', + 'alpha' : '8.78345986154e-07', + }, + 'Tau' : { + 'N' : str(round(0.0*lumiScaling)), # '0', + 'alpha' : '0.048', + }, +} + +# Still using 2018AB values; NEEDS TO BE UPDATED +background_systematics = { + 'Fake_alpha_NLayers6plus' : { # error on alpha + 'value' : '1.00074624437', + 'background' : 'Fake', + }, + 'Elec_alpha_NLayers6plus' : { # error on alpha + 'value' : '1.3689209328', + 'background' : 'Elec', + }, + 'Muon_alpha_NLayers6plus' : { # error on alpha + 'value' : '1.39533579372', + 'background' : 'Muon', + }, + 'Tau_alpha_NLayers6plus' : { # error on alpha + 'value' : '0.000001/2.77468239654', # 0 --> 0.000001 numerical safety + 'background' : 'Tau', + }, + + 'Fake_syst_fit' : { # error from fit + # correlated! between nlayers since it's the same value + 'value' : '1.52067231799', + 'background' : 'Fake', + }, + 'Fake_syst_sampleDiff_NLayers6plus' : { # difference between ZtoMuMu and ZtoEE methods + 'value' : str (1.0 + abs(0.035 - 0.087) / 0.035), + 'background' : 'Fake', + }, + + 'Elec_energy_NLayers6plus' : { # error on energy assumption + 'value' : str (1.0 + 12.937307135 / 100.0), + 'background' : 'Elec', + }, + 'Tau_energy_NLayers6plus' : { # error on energy assumption + 'value' : str (1.0 + 24.8215525905 / 100.0), + 'background' : 'Tau', + }, +} diff --git a/LimitSetting/python/limitOptions.py b/LimitSetting/python/limitOptions.py index 6a4705393..2e70bc63d 100644 --- a/LimitSetting/python/limitOptions.py +++ b/LimitSetting/python/limitOptions.py @@ -1,7 +1,11 @@ import sys from optparse import OptionParser +import os -from DisappTrks.SignalMC.signalCrossSecs import * +if not (os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_")): + exec("from DisappTrks.SignalMC.signalCrossSecs import *") +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + exec("from DisappTrks.SignalMC.signalCrossSecs13p6TeV import *") from DisappTrks.StandardAnalysis.IntegratedLuminosity_cff import * from DisappTrks.StandardAnalysis.utilities import * @@ -58,7 +62,11 @@ "2018CD_all", "2018_all", "all20178", - "run2"] + "run2", + "2022F_NLayers4", "2022F_NLayers5", "2022F_NLayers6plus", + "2022_all", + "run3", + "run2run3",] validLimitTypes = [ "wino", diff --git a/LimitSetting/python/winoElectroweakLimits.py b/LimitSetting/python/winoElectroweakLimits.py index 926c32d6f..11f0564c8 100644 --- a/LimitSetting/python/winoElectroweakLimits.py +++ b/LimitSetting/python/winoElectroweakLimits.py @@ -18,14 +18,18 @@ '200', '300', '400', '500', '600', '700', '800', '900', '1000', '2000', '3000', '4000', '5000', '6000', '7000', '8000', '9000', '10000'] -if arguments.era.startswith("2017") or arguments.era.startswith("2018") or arguments.era == "all20178" or arguments.era == "run2": +if arguments.era.startswith("2017") or arguments.era.startswith("2018") or arguments.era.startswith("2022") or arguments.era.startswith("2023") or arguments.era == "all20178" or arguments.era == "run2" or arguments.era == "run2run3" or arguments.era == "run3": masses.extend(['1000', '1100']) lifetimes = ['0.2', '0.3', '0.4', '0.5', '0.6', '0.7', '0.8', '0.9', '1'] + lifetimes +if arguments.era.startswith("2022") or arguments.era.startswith("2023") or arguments.era == "run2run3" or arguments.era == "run3": + masses.extend(['1200']) # define maximal set of masses/lifetimes for datacard combinations allMasses = masses + ['1000', '1100'] +if arguments.era.startswith("2022") or arguments.era.startswith("2023") or arguments.era == "run2run3" or arguments.era == "run3": + allMasses.extend(['1200']) allLifetimes = ['0.2', '0.3', '0.4', '0.5', '0.6', '0.7', '0.8', '0.9', '1'] + lifetimes -datacardCombinations = { +'''datacardCombinations = { 'all20156' : ['2015', '2016BC', '2016DEFGH'], '2017_all' : ['2017_NLayers4', '2017_NLayers5', '2017_NLayers6plus'], '2018AB_all' : ['2018AB_NLayers4', '2018AB_NLayers5', '2018AB_NLayers6plus'], @@ -36,10 +40,22 @@ '2018AB_NLayers4', '2018AB_NLayers5', '2018AB_NLayers6plus', '2018CD_NLayers4', '2018CD_NLayers5', '2018CD_NLayers6plus'], 'run2' : ['2015', - '2016BC', '2016DEFGH', + '2016BC', '2016DEFGH', '2017_NLayers4', '2017_NLayers5', '2017_NLayers6plus', '2018AB_NLayers4', '2018AB_NLayers5', '2018AB_NLayers6plus', '2018CD_NLayers4', '2018CD_NLayers5', '2018CD_NLayers6plus'], + '2022_all' : ['2022F_NLayers4', '2022F_NLayers5', '2022F_NLayers6plus'], + 'run3' : ['2022F_NLayers4', '2022F_NLayers5', '2022F_NLayers6plus'], + 'run2run3' : ['2015', + '2016BC', '2016DEFGH', + '2017_NLayers4', '2017_NLayers5', '2017_NLayers6plus', + '2018AB_NLayers4', '2018AB_NLayers5', '2018AB_NLayers6plus', + '2018CD_NLayers4', '2018CD_NLayers5', '2018CD_NLayers6plus', + '2022F_NLayers4', '2022F_NLayers5', '2022F_NLayers6plus'], +}''' +#debugging +datacardCombinations = { + 'run3' : ['2022F_NLayers4', '2022F_NLayers5', '2022F_NLayers6plus'], } # name of histogram to integrate to get yields @@ -68,30 +84,38 @@ intLumi = lumi["MET_2017"] + lumi["MET_2018"] elif arguments.era == "run2": intLumi = lumi["MET_2015"] + lumi["MET_2016"] + lumi["MET_2017"] + lumi["MET_2018"] +elif arguments.era == "2022F": + intLumi = lumi["MET_2022F"] +elif arguments.era == "2022_all": + intLumi = lumi["JetMET_2022C"] + lumi["JetMET_2022D"] + lumi["MET_2022E"] + lumi["MET_2022F"] + lumi["MET_2022G"] +elif arguments.era == "run3": + intLumi = lumi["JetMET_2022C"] + lumi["JetMET_2022D"] + lumi["MET_2022E"] + lumi["MET_2022F"] + lumi["MET_2022G"] + 17794.0 + 9451 +elif arguments.era == "run2run3": + intLumi = lumi["MET_2015"] + lumi["MET_2016"] + lumi["MET_2017"] + lumi["MET_2018"] + lumi["JetMET_2022C"] + lumi["JetMET_2022D"] + lumi["MET_2022E"] + lumi["MET_2022F"] + lumi["MET_2022G"] + 17794.0 + 9451 # condor directory in which to find signal root files if arguments.era == "2015": - signal_condor_dir = dirs["Brian"] + '/2015/signalAcceptance_final/' + signal_condor_dir = dirs['Breno'] + '/bfrancisStore/2015/signalAcceptance_final/' signal_suffix = signal_suffix_in_datacard = '76X' signal_channel = 'disTrkSelectionSmearedJetsPlotter/Met Plots' actual_bin_name = 'Bin2015' intLumi = lumi["MET_2015"] elif arguments.era == "2016BC": - signal_condor_dir = dirs["Brian"] + '/2016_final/signalAcceptance_BC_final/' + signal_condor_dir = dirs['Breno'] + '/bfrancisDeepStore/2016_final/signalAcceptance_BC_final/' signal_suffix = '80X' signal_suffix_in_datacard = '80X_BC' signal_channel = 'disTrkSelectionSmearedJetsPlotter/Met Plots' actual_bin_name = 'Bin2016BC' intLumi = lumi["MET_2016BC"] elif arguments.era == "2016DEFGH": - signal_condor_dir = dirs["Brian"] + '/2016_final/signalAcceptance_DEFGH_final/' + signal_condor_dir = dirs['Breno'] + '/bfrancisDeepStore/2016_final/signalAcceptance_DEFGH_final/' signal_suffix = '80X' signal_suffix_in_datacard = '80X_DEFGH' signal_channel = 'disTrkSelectionSmearedJetsPlotter/Met Plots' actual_bin_name = 'Bin2016DEFGH' intLumi = lumi["MET_2016DEFGH"] elif arguments.era in ["2017_NLayers4", "2017_NLayers5", "2017_NLayers6plus"]: - signal_condor_dir = dirs["Brian"] + '/2017/signalAcceptance_full_v9_newISRweights/' + signal_condor_dir = dirs['Breno'] + '/bfrancisDeepStore/2017/signalAcceptance_full_v9_newISRweights/' signal_suffix = signal_suffix_in_datacard = '94X' nLayersWord = arguments.era.split('_')[1] signal_channel = 'disTrkSelectionSmearedJets' + nLayersWord + 'Plotter/Met Plots' @@ -99,7 +123,7 @@ actual_bin_name = 'Bin2017' + nLayersWord intLumi = lumi["MET_2017"] elif arguments.era in ["2018AB_NLayers4", "2018AB_NLayers5", "2018AB_NLayers6plus"]: - signal_condor_dir = dirs["Brian"] + '/2018/signalAcceptance_v3_newISRweights/' + signal_condor_dir = dirs['Breno'] + '/bfrancisStore/2018/signalAcceptance_v3_newISRweights/' signal_suffix = signal_suffix_in_datacard = '102X' nLayersWord = arguments.era.split('_')[1] signal_channel = 'disTrkSelectionSmearedJets' + nLayersWord + 'Plotter/Met Plots' @@ -107,13 +131,23 @@ actual_bin_name = 'Bin2018AB' + nLayersWord intLumi = lumi["MET_2018AB"] elif arguments.era in ["2018CD_NLayers4", "2018CD_NLayers5", "2018CD_NLayers6plus"]: - signal_condor_dir = dirs["Brian"] + '/2018/signalAcceptance_v3_HEMveto_newISRweights/' + signal_condor_dir = dirs['Breno'] + '/bfrancisStore/2018/signalAcceptance_v3_HEMveto_newISRweights/' signal_suffix = signal_suffix_in_datacard = '102X' nLayersWord = arguments.era.split('_')[1] signal_channel = 'disTrkSelectionSmearedJetsHEMveto' + nLayersWord + 'Plotter/Met Plots' signal_channel_tree = 'disTrkSelectionSmearedJetsHEMveto' + nLayersWord + 'TreeMaker/Tree' actual_bin_name = 'Bin2018CD' + nLayersWord intLumi = lumi["MET_2018CD"] +elif arguments.era in ["2022F_NLayers4", "2022F_NLayers5", "2022F_NLayers6plus"]: + signal_condor_dir = dirs["Breno"] + '/SignalMC/Run3/2022/signalAcceptance_v1/' + signal_suffix = signal_suffix_in_datacard = '130X' + nLayersWord = arguments.era.split('_')[1] + signal_channel = 'disTrkSelectionSmearedJets' + nLayersWord + 'Plotter/Met Plots' + signal_channel_tree = 'disTrkSelectionSmearedJets' + nLayersWord + 'TreeMaker/Tree' + actual_bin_name = 'Bin2022F' + nLayersWord + intLumi = lumi["MET_2022F"] + # intLumi = lumi["JetMET_2022C"] + lumi["JetMET_2022D"] + lumi["MET_2022E"] + lumi["MET_2022F"] + lumi["MET_2022G"] # scaling to 2022 lumi + # intLumi = lumi["JetMET_2022C"] + lumi["JetMET_2022D"] + lumi["MET_2022E"] + lumi["MET_2022F"] + lumi["MET_2022G"] + 17794.0 + 9451.0 # scaling to 2022+2023 lumi lumi = intLumi @@ -125,32 +159,38 @@ if arguments.era in ["2015", "2016BC", "2016DEFGH", "2017_NLayers4", "2017_NLayers5", "2017_NLayers6plus", "2018AB_NLayers4", "2018AB_NLayers5", "2018AB_NLayers6plus", - "2018CD_NLayers4", "2018CD_NLayers5", "2018CD_NLayers6plus"]: - exec('from bkgdConfig_' + arguments.era + ' import *') + "2018CD_NLayers4", "2018CD_NLayers5", "2018CD_NLayers6plus", + "2022F_NLayers4", "2022F_NLayers5", "2022F_NLayers6plus"]: + exec('from DisappTrks.LimitSetting.bkgdConfig_' + arguments.era + ' import *') #this just sets the observed number of events equal to the total background expectation -run_blind_limits = False + +# run_blind_limits = False +run_blind_limits = True data_dataset = data_condor_dir = data_channel = "" -useHistogramForObservation = True # integrate MET for the observed counts +useHistogramForObservation = False # integrate MET for the observed counts #condor directory in which to find data root file if arguments.era == "2015": data_dataset = "MET_2015" data_condor_dir = dirs["Andrew"] + '/2016_final_prompt/disappearingTracks/' data_channel = 'DisTrkSelectionPlotter/Met Plots' + rawObservation = 1 elif arguments.era == "2016BC": data_dataset = "MET_2016BC" data_condor_dir = dirs["Andrew"] + '/2016_final_prompt/disappearingTracks/' data_channel = 'DisTrkSelectionPlotter/Met Plots' + rawObservation = 2 elif arguments.era == "2016DEFGH": data_dataset = "MET_2016DEFGH" data_condor_dir = dirs["Andrew"] + '/2016_final_prompt/disappearingTracks/' data_channel = 'DisTrkSelectionPlotter/Met Plots' + rawObservation = 4 elif arguments.era in ["2017_NLayers4", "2017_NLayers5", "2017_NLayers6plus"]: data_dataset = "MET_2017" - data_condor_dir = dirs["Brian"] + '/2017/unblindedResults/' + data_condor_dir = dirs['Breno'] + '/bfrancisStore/2017/unblindedResults/' data_channel = 'DisTrkSelection' + nLayersWord + 'Plotter/Met Plots' useHistogramForObservation = False if arguments.era == "2017_NLayers4": @@ -161,7 +201,7 @@ rawObservation = 6 elif arguments.era in ["2018AB_NLayers4", "2018AB_NLayers5", "2018AB_NLayers6plus"]: data_dataset = "MET_2018AB" - data_condor_dir = dirs["Brian"] + '/2018/unblindNoHEMveto/' + data_condor_dir = dirs['Breno'] + '/bfrancisStore/2018/unblindNoHEMveto/' data_channel = 'DisTrkSelection' + nLayersWord + 'Plotter/Met Plots' useHistogramForObservation = False if arguments.era == "2018AB_NLayers4": @@ -172,7 +212,7 @@ rawObservation = 2 elif arguments.era in ["2018CD_NLayers4", "2018CD_NLayers5", "2018CD_NLayers6plus"]: data_dataset = "MET_2018CD" - data_condor_dir = dirs["Brian"] + '/2018/unblindWithHEMveto/' + data_condor_dir = dirs['Breno'] + '/bfrancisStore/2018/unblindWithHEMveto/' data_channel = 'DisTrkSelection' + nLayersWord + 'Plotter/Met Plots' useHistogramForObservation = False if arguments.era == "2018CD_NLayers4": @@ -181,6 +221,18 @@ rawObservation = 2 elif arguments.era == "2018CD_NLayers6plus": rawObservation = 1 +# Still using 2018AB values; NEEDS TO BE UPDATED +elif arguments.era in ["2022F_NLayers4", "2022F_NLayers5", "2022F_NLayers6plus"]: + data_dataset = "MET_2018AB" + data_condor_dir = dirs['Breno'] + '/bfrancisStore/2018/unblindNoHEMveto/' + data_channel = 'DisTrkSelection' + nLayersWord + 'Plotter/Met Plots' + useHistogramForObservation = False + if arguments.era == "2022F_NLayers4": + rawObservation = 5 + elif arguments.era == "2022F_NLayers5": + rawObservation = 0 + elif arguments.era == "2022F_NLayers6plus": + rawObservation = 2 ################################ ### Systematic Uncertainties ### @@ -203,10 +255,12 @@ "trigger_grandOrWeightMC", ] -if not arguments.era in ["all20156", "2017_all", "2018_all", "2018AB_all", "2018CD_all", "all20178", "run2"]: +if not arguments.era in ["all20156", "2017_all", "2018_all", "2018AB_all", "2018CD_all", "all20178", "run2", "2022_all", "run3", "run2run3"]: for i in range(len(external_systematic_uncertainties)): if arguments.era.startswith("2018"): external_systematic_uncertainties[i] += "_2018_" + arguments.era[7:] + elif arguments.era.startswith("2022"): + external_systematic_uncertainties[i] += "_2022_" + arguments.era[6:] else: external_systematic_uncertainties[i] += "_" + arguments.era @@ -224,6 +278,13 @@ if arguments.era != "2018AB_NLayers6plus" and arguments.era != "2018CD_NLayers6plus": external_systematic_uncertainties.append("triggerTurnOn_2018_" + arguments.era[7:]) +# Still using 2018AB values; NEEDS TO BE UPDATED +if arguments.era in ["2022F_NLayers4", "2022F_NLayers5", "2022F_NLayers6plus"]: + external_systematic_uncertainties.append("electronVetoScaleFactor_2022_" + arguments.era[6:]) + external_systematic_uncertainties.append("muonVetoScaleFactor_2022_" + arguments.era[6:]) + if arguments.era != "2022F_NLayers6plus": + external_systematic_uncertainties.append("triggerTurnOn_2022_" + arguments.era[6:]) + if arguments.era == "2015": signal_systematic_uncertainties = { 'lumi' : { @@ -322,3 +383,26 @@ if arguments.era.endswith("NLayers6plus"): signal_systematic_uncertainties['Nmissin_Bin2018_' + nLayersWord] = {'value' : str (1.0 + 0.928855948344 / 100.0)} signal_systematic_uncertainties['Nmissmid_Bin2018_' + nLayersWord] = {'value' : str (1.0 + 3.72041349824 / 100.0)} +# Still using 2018AB values; NEEDS TO BE UPDATED +elif arguments.era in ["2022F_NLayers4", "2022F_NLayers5", "2022F_NLayers6plus"]: + signal_systematic_uncertainties = { + 'lumi_Bin2022_' + nLayersWord : { + 'value' : '1.025', + }, + 'trkReco_Bin2022_' + nLayersWord : { + 'value' : '1.025', # result not yet approved: https://indico.cern.ch/event/827655/contributions/3467109/attachments/1863791/3063951/Tracking_2018Zmm_Jpsi.pdf + }, + 'Ecalo_Bin2022_' + nLayersWord : { + 'value' : str (1.0 + 0.373129152421 / 100.0), + }, + } + + if arguments.era.endswith("NLayers4"): + signal_systematic_uncertainties['Nmissin_Bin2022_' + nLayersWord] = {'value' : str (1.0 + 0.430847539825 / 100.0)} + signal_systematic_uncertainties['Nmissmid_Bin2022_' + nLayersWord] = {'value' : str (1.0 + 2.52100840336 / 100.0)} + if arguments.era.endswith("NLayers5"): + signal_systematic_uncertainties['Nmissin_Bin2022_' + nLayersWord] = {'value' : str (1.0 + 2.94117647059 / 100.0)} + signal_systematic_uncertainties['Nmissmid_Bin2022_' + nLayersWord] = {'value' : str (1.0 + 4.87652492286 / 100.0)} + if arguments.era.endswith("NLayers6plus"): + signal_systematic_uncertainties['Nmissin_Bin2022_' + nLayersWord] = {'value' : str (1.0 + 0.928855948344 / 100.0)} + signal_systematic_uncertainties['Nmissmid_Bin2022_' + nLayersWord] = {'value' : str (1.0 + 3.72041349824 / 100.0)} diff --git a/LimitSetting/python/winoElectroweakPlots.py b/LimitSetting/python/winoElectroweakPlots.py index f6316ad9c..7e4290468 100644 --- a/LimitSetting/python/winoElectroweakPlots.py +++ b/LimitSetting/python/winoElectroweakPlots.py @@ -39,7 +39,7 @@ 'yAxisLabel' : '#tau_{#tilde{#chi}^{#pm}_{1}} [ns]', 'xAxisFixMin' : 100, - 'xAxisFixMax' : 1150, + 'xAxisFixMax' : 1250, #'yAxisFixMin' : 0.1 / TMath.C() / 1e-7, 'yAxisFixMin' : 2e-2, # lowest that looks good 'yAxisFixMax' : 10000.0 / TMath.C() / 1e-7, diff --git a/LimitSetting/scripts/combineDatacards.py b/LimitSetting/scripts/combineDatacards.py index 7abcf2cfd..4663ad91b 100755 --- a/LimitSetting/scripts/combineDatacards.py +++ b/LimitSetting/scripts/combineDatacards.py @@ -12,10 +12,8 @@ from DisappTrks.LimitSetting.limitOptions import * if arguments.limitType not in validLimitTypes: - print - print "Invalid or empty limit type to plot (-l). Allowed types:" - print str(validLimitTypes) - print + print ("\nInvalid or empty limit type to plot (-l). Allowed types:\n") + print (str(validLimitTypes)) sys.exit(0) if arguments.limitType == "wino": @@ -28,19 +26,19 @@ if not arguments.suffix: if "SUFFIX" in os.environ: suffix = os.environ["SUFFIX"] - print 'Taking suffix from environment: ' + suffix + print( 'Taking suffix from environment: ' + suffix) else: - print 'Either provide an input date with "-s" or define the $SUFFIX variable in your environment.' + print( 'Either provide an input date with "-s" or define the $SUFFIX variable in your environment.') sys.exit(1) else: suffix = arguments.suffix - print 'Using suffix: ' + suffix + print( 'Using suffix: ' + suffix) # check the input directories exist for combinedCard in datacardCombinations: for card in datacardCombinations[combinedCard]: if not os.path.exists('limits/limits_' + card + '_' + suffix): - print 'The input directory limits/limits_' + card + '_' + suffix + ' is missing! Quitting.' + print( 'The input directory limits/limits_' + card + '_' + suffix + ' is missing! Quitting.') sys.exit(1) # create the output directories @@ -108,14 +106,17 @@ def makeCombinedCard (i, N, combinedCard, mass, lifetime, ignoreSignalScaleFacto processLines = subprocess.check_output('sed -n "/^process\s*0\s*/p" ' + outputCardFile, shell = True).split() binLines = subprocess.check_output('awk "/^bin/{c++; if (c==2) {print}}" ' + outputCardFile, shell = True).split() + rateLines = [x.decode('utf-8') for x in rateLines][1:] # need to decode, first entry is string 'rate' + processLines = [x.decode('utf-8') for x in processLines][1:] # need to decode, first entry is string 'process' + binLines = [x.decode('utf-8') for x in binLines][1:] # need to decode, first entry is string 'bin' + for iBin in range(len(rateLines)): - # skip headers in lines - if iBin == 0: - continue # if this is a signal process (0), replace the rate with this new scaled value if processLines[iBin] == '0': rateLines[iBin] = str(scaledYields[binLines[iBin]]) + rateLines = ['rate','\t','\t'] + rateLines # re-add the rate at the beginning of the line and "skip" two columns + # now replace the rates in the combined card subprocess.call('sed -i "s/^rate.*/' + ' '.join(rateLines) + '/" ' + outputCardFile, shell = True) @@ -123,7 +124,8 @@ def makeCombinedCard (i, N, combinedCard, mass, lifetime, ignoreSignalScaleFacto subprocess.call('echo ' + str(scaleFactor) + ' > ' + outputCardFile.replace('datacard_', 'signalSF_'), shell = True) # find the signal stat lines, since these will need to change - signalStatLines = subprocess.check_output('sed -n "/^signal_stat_.*gmN.*/p" ' + outputCardFile, shell = True).split('\n') + signalStatLines = subprocess.check_output('sed -n "/^signal_stat_.*gmN.*/p" ' + outputCardFile, shell = True).decode('utf-8') + signalStatLines = signalStatLines.split('\n') for iLine in range(len(signalStatLines)): if not signalStatLines[iLine].startswith('signal_stat_Bin'): continue @@ -140,7 +142,7 @@ def makeCombinedCard (i, N, combinedCard, mass, lifetime, ignoreSignalScaleFacto stat_idx = ix if stat_idx < 0: printLock.acquire() - print 'WARNING: cannot find signal stat error in file ' + outputCardFile + ', line = ' + signalStatLines[iLine] + print( 'WARNING: cannot find signal stat error in file ' + outputCardFile + ', line = ' + signalStatLines[iLine]) printLock.release() continue lineEntries[stat_idx] = str(scaledYields[binName] / gmN_number) @@ -175,6 +177,4 @@ def makeCombinedCard (i, N, combinedCard, mass, lifetime, ignoreSignalScaleFacto progress.setPercentDone(100.0) progress.printProgress(True) -print -print 'All done!' -print \ No newline at end of file +print('All done!') diff --git a/LimitSetting/scripts/makeDatacards.py b/LimitSetting/scripts/makeDatacards.py index b6ad15e28..4a77d6f26 100755 --- a/LimitSetting/scripts/makeDatacards.py +++ b/LimitSetting/scripts/makeDatacards.py @@ -11,23 +11,20 @@ from array import * from threading import Thread, Lock, Semaphore from multiprocessing import cpu_count +import ctypes from DisappTrks.LimitSetting.limitOptions import * -from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TGraphErrors, Double, TChain, TH2D +from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TGraphErrors, TChain, TH2D if not arguments.era in validEras: - print - print "Invalid or empty data-taking era specific (-e). Allowed eras:" - print str(validEras) - print + print( "\nInvalid or empty data-taking era specific (-e). Allowed eras:\n") + print( str(validEras)) sys.exit(0) if arguments.limitType not in validLimitTypes: - print - print "Invalid or empty limit type to plot (-l). Allowed types:" - print str(validLimitTypes) - print + print( "\nInvalid or empty limit type to plot (-l). Allowed types:\n") + print( str(validLimitTypes)) sys.exit(0) if arguments.limitType == "wino": @@ -39,7 +36,7 @@ if not os.path.exists("limits/" + arguments.outputDir): os.system("mkdir limits/" + arguments.outputDir) else: - print "No output directory specified, shame on you" + print( "No output directory specified, shame on you") sys.exit(0) def fancyTable(arrays): @@ -47,7 +44,7 @@ def fancyTable(arrays): def areAllEqual(lst): return not lst or [lst[0]] * len(lst) == lst - if not areAllEqual(map(len, arrays)): + if not areAllEqual(list(map(len, arrays))): exit('Cannot print a table with unequal array lengths.') verticalMaxLengths = [max(value) for value in map(lambda * x:x, *[map(len, a) for a in arrays])] @@ -87,7 +84,7 @@ def GetReweightedYieldAndError(condor_dir, process, channel, srcCTau, dstCTau, l if arguments.verbose: printLock.acquire () - print 'Reweighting yield from ' + realProcessName + ' to ' + process + ' ...' + print( 'Reweighting yield from ' + realProcessName + ' to ' + process + ' ...') printLock.release () chain = TChain(signal_channel_tree) @@ -116,7 +113,7 @@ def GetReweightedYieldAndError(condor_dir, process, channel, srcCTau, dstCTau, l lifetimeWeight = getattr(chain, lifetimeWeightName) if chain.eventvariable_cTau_1000024_0 < 0: printLock.acquire() - print 'WARNING: somehow event number ' + str(iEvent) + ' in sample ' + process + ' has no charginos at all! Ignoring this event...' + print( 'WARNING: somehow event number ' + str(iEvent) + ' in sample ' + process + ' has no charginos at all! Ignoring this event...') printLock.release() continue # or lifetimeWeight = 0 really thisWeight = crossSectionWeight * lifetimeWeight * chain.eventvariable_isrWeight * chain.eventvariable_grandOrWeight * chain.eventvariable_puScalingFactor @@ -141,14 +138,14 @@ def GetYieldAndError(condor_dir, process, channel): inputFile = TFile("condor/" + condor_dir + "/" + process + ".root") hist = inputFile.Get(channel + "/" + integrateHistogramName) if not hist: - print "Could not find hist " + channel + "/" + integrateHistogramName + " in " + inputFile.GetName() + print( "Could not find hist " + channel + "/" + integrateHistogramName + " in " + inputFile.GetName()) hist.SetDirectory(0) nGenerated = inputFile.Get(channel.replace('Plotter/Met Plots', 'CutFlowPlotter/eventCounter')).GetEntries() inputFile.Close() - intError = Double (0.0) - integral = hist.IntegralAndError(0, hist.GetNbinsX() + 1, intError) - fracError = 1.0 + (intError / integral) if integral > 0.0 else 1.0 + intError = 0.0 + integral = hist.IntegralAndError(0, hist.GetNbinsX() + 1, ctypes.c_double(intError)) + fracError = float(1.0 + (intError / integral)) if integral > 0.0 else 1.0 raw_integral = hist.GetEntries () @@ -251,7 +248,7 @@ def writeDatacard(mass, lifetime, observation, dictionary, ignoreSignalScaleFact if arguments.verbose: printLock.acquire () - print "Debug: for bkgd: " + str(background) + ", yield = " + str(background_yields[background]) + ", error = " + str(background_errors[background]) + print("Debug: for bkgd: " + str(background) + ", yield = " + str(background_yields[background]) + ", error = " + str(background_errors[background])) printLock.release () totalBkgd += float(background_yields[background]) @@ -315,9 +312,9 @@ def writeDatacard(mass, lifetime, observation, dictionary, ignoreSignalScaleFact if 'alpha' in backgrounds[str(background)]: rate_row.append(str(background_yields[background])) if arguments.verbose: - print "Debug: for background " + str(background) - print "Debug: for background " + str(background) + ": " + str(background_yields[background]) - print "Debug: for background " + str(background) + ": " + str(background_yields[background]) + print( "Debug: for background " + str(background)) + print( "Debug: for background " + str(background) + ": " + str(background_yields[background])) + print( "Debug: for background " + str(background) + ": " + str(background_yields[background])) else: rate_row.append(background_yields[background]) empty_row.append('') @@ -451,7 +448,7 @@ def writeDatacard(mass, lifetime, observation, dictionary, ignoreSignalScaleFact if not useBatch: command = command + ' | tee ' + logfile if arguments.verbose: - print command + print( command) datacard95.write(command) datacard95.close(command) @@ -472,9 +469,9 @@ def writeDatacard(mass, lifetime, observation, dictionary, ignoreSignalScaleFact newLine = intermediateLine.rstrip("\n").split("~") dataset = newLine[0] - if len(newLine) is 2: + if len(newLine) == 2: systematics_dictionary[systematic][dataset] = newLine[1] - elif len(newLine) is 3: + elif len(newLine) == 3: systematics_dictionary[systematic][dataset]= newLine[1] + "/" + newLine[2] # turn off systematic when the central yield is zero @@ -503,9 +500,7 @@ def writeDatacard(mass, lifetime, observation, dictionary, ignoreSignalScaleFact printLock = Lock () semaphore = Semaphore (cpu_count () + 1) -print -print 'Writing cards for era', arguments.era, '...' -print +print('\nWriting cards for era', arguments.era, '...\n') for mass in masses: for lifetime in lifetimes: diff --git a/LimitSetting/scripts/makeLimitPlots.py b/LimitSetting/scripts/makeLimitPlots.py index f9fbe4913..59e1ae8e8 100755 --- a/LimitSetting/scripts/makeLimitPlots.py +++ b/LimitSetting/scripts/makeLimitPlots.py @@ -14,21 +14,18 @@ from decimal import * from fractions import * from operator import itemgetter +from ctypes import c_double as Double from DisappTrks.LimitSetting.limitOptions import * if not arguments.era in validEras: - print - print "Invalid or empty data-taking era specific (-e). Allowed eras:" - print str(validEras) - print + print( "Invalid or empty data-taking era specific (-e). Allowed eras:") + print( str(validEras)) sys.exit(0) if arguments.limitType not in validLimitTypes: - print - print "Invalid or empty limit type to plot (-l). Allowed types:" - print str(validLimitTypes) - print + print( "Invalid or empty limit type to plot (-l). Allowed types:") + print( str(validLimitTypes)) sys.exit(0) if arguments.limitType == "wino": @@ -42,11 +39,11 @@ if not os.path.exists("limits/" + arguments.outputDir): os.system("mkdir limits/" + arguments.outputDir) else: - print "No output directory specified, shame on you" + print( "No output directory specified, shame on you") sys.exit(0) from DisappTrks.StandardAnalysis.tdrstyle import * -from ROOT import TF1, TFile, TH2F, TGraph, TGraphAsymmErrors, gROOT, gStyle, TStyle, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TPaveLabel, TH2D, TPave, Double, TMath +from ROOT import TF1, TFile, TH2F, TGraph, TGraphAsymmErrors, gROOT, gStyle, TStyle, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TPaveLabel, TH2D, TPave, TMath gROOT.SetBatch() gStyle.SetOptStat(0) @@ -191,7 +188,7 @@ def getGraph(limits, x_key, y_key): x = [ ] y = [ ] for limit in limits: - if not limit.has_key(x_key) or not limit.has_key(y_key): + if x_key not in limit.keys() or y_key not in limit.keys(): continue x.append(float(limit[x_key])) y.append(float(limit[y_key])) @@ -234,8 +231,8 @@ def calcMassSplitting(mass, lifetimeInSec, deltaM, prevDeltaMGuess): c = math.pow(math.pow(mass, 2) - math.pow(neuMass, 2),2) d = float(math.pow(float(mPi),2)) if (a == 0) or (b == 0): - print "Debug found bad values for a or b: a=", a, ", b=", b, ", c=", c, ", d=", d, ", mass = ", mass, "neumass = ", neuMass, ", sqrt(c)=", math.pow(mass,2) - math.pow(neuMass,2) - print "Debug: lifetimeInSec=", lifetimeInSec, ", deltaM=", deltaM, ", prevDeltaMGuess=", prevDeltaMGuess + print( "Debug found bad values for a or b: a=", a, ", b=", b, ", c=", c, ", d=", d, ", mass = ", mass, "neumass = ", neuMass, ", sqrt(c)=", math.pow(mass,2) - math.pow(neuMass,2)) + print( "Debug: lifetimeInSec=", lifetimeInSec, ", deltaM=", deltaM, ", prevDeltaMGuess=", prevDeltaMGuess) # print "Debug: lifetimeGuess = ", lifetimeGuess, ", lifetimeInSec=", lifetimeInSec, ", deltaM=", deltaM, ", prevDeltaMGuess=", prevDeltaMGuess, "(lifetimeInSec - lifetimeGuess) / lifetimeInSec = ", (lifetimeInSec - lifetimeGuess) / lifetimeInSec return (0, 0) @@ -275,23 +272,23 @@ def getGraph2D(limits, x_key, y_key, experiment_key, theory_key): if mass not in limit_dict[lifetime]: limit_dict[lifetime][mass] = {} limit_dict[lifetime][mass]['experiment'] = limit[experiment_key] - if experiment_key is 'up1' or experiment_key is 'up2': + if experiment_key == 'up1' or experiment_key == 'up2': limit_dict[lifetime][mass]['experiment'] += limit['expected'] - if experiment_key is 'down1' or experiment_key is 'down2': + if experiment_key == 'down1' or experiment_key == 'down2': limit_dict[lifetime][mass]['experiment'] = limit['expected'] - limit_dict[lifetime][mass]['experiment'] for theory_mass in signal_cross_sections: if abs (float (theory_mass) - mass) < 1.0e-3: limit_dict[lifetime][mass]['theory'] = float (signal_cross_sections[theory_mass]['value']) theory_error = float (signal_cross_sections[theory_mass]['error']) - if theory_key is 'up2' or theory_key is 'down2': + if theory_key =='up2' or theory_key == 'down2': theory_error = 1.0 + 2.0 * (theory_error - 1.0) - if theory_key is 'up1' or theory_key is 'up2': + if theory_key == 'up1' or theory_key == 'up2': limit_dict[lifetime][mass]['theory'] *= theory_error - if theory_key is 'down1' or theory_key is 'down2': + if theory_key == 'down1' or theory_key == 'down2': limit_dict[lifetime][mass]['theory'] *= (2.0 - theory_error) if arguments.verbose: - print "Debug: limit_dict.keys() = " - print limit_dict.keys() + print( "Debug: limit_dict.keys() = ") + print( limit_dict.keys()) for lifetime in sorted (limit_dict.keys ()): ordered_masses = sorted (limit_dict[lifetime].keys (), reverse=True) first_allowed_mass = ordered_masses[0] @@ -321,32 +318,32 @@ def getGraph2D(limits, x_key, y_key, experiment_key, theory_key): if math.isnan (mass_limit): mass_limit = 0.0 if mass_limit > first_allowed_mass: - print "ERROR: Something went wrong with lifetime", lifetime, ": first_allowed_mass = ", first_allowed_mass, " is less than the calculated mass limit, ", mass_limit, ". Please investigate." + print( "ERROR: Something went wrong with lifetime", lifetime, ": first_allowed_mass = ", first_allowed_mass, " is less than the calculated mass limit, ", mass_limit, ". Please investigate.") mass_limit = previous_mass x.append (mass_limit) y.append (lifetime) if arguments.verbose: - print "Debug getGraph2D: adding point: " + str(mass_limit) + ", " + str(lifetime) - print " Debug: previous_mass=" + str(previous_mass) + ", first_allowed_mass=" + str(first_allowed_mass) - print " Debug: limit_dict[lifetime][first_allowed_mass]['experiment'] = " + str(limit_dict[lifetime][first_allowed_mass]['experiment']) + ", experiment_key = " + experiment_key + print( "Debug getGraph2D: adding point: " + str(mass_limit) + ", " + str(lifetime)) + print( " Debug: previous_mass=" + str(previous_mass) + ", first_allowed_mass=" + str(first_allowed_mass)) + print( " Debug: limit_dict[lifetime][first_allowed_mass]['experiment'] = " + str(limit_dict[lifetime][first_allowed_mass]['experiment']) + ", experiment_key = " + experiment_key) if previous_mass != first_allowed_mass: - print " Debug x1,x2,x3,x4=" + str(x1) + ","+ str(x2) + "," + str(x3) + "," + str(x4) + "," + ", y1,y2,y3,y4=" + str(y1) + ","+ str(y2) + "," + str(y3) + "," + str(y4) + "," - if x_key is 'lifetime' and y_key is 'mass': + print( " Debug x1,x2,x3,x4=" + str(x1) + ","+ str(x2) + "," + str(x3) + "," + str(x4) + "," + ", y1,y2,y3,y4=" + str(y1) + ","+ str(y2) + "," + str(y3) + "," + str(y4) + ",") + if x_key == 'lifetime' and y_key == 'mass': x[-1], y[-1] = y[-1], x[-1] if plot['convertToMassSplitting']: - if "observed" is experiment_key: - print "Debug: about to print all the values that go into TGraph for experiment_key = ", experiment_key, ":" + if "observed" == experiment_key: + print( "Debug: about to print all the values that go into TGraph for experiment_key = ", experiment_key, ":") for i in range(len(x)): - print i, ": ", x[i], ", ", y[i] + print( i, ": ", x[i], ", ", y[i]) lifetimeInCm = copy.deepcopy(y) - if "observed" is experiment_key: - print "Debug: about to print all the values that go into TGraph, after converting to massSplitting, for experiment_key = ", experiment_key, ":" + if "observed" == experiment_key: + print( "Debug: about to print all the values that go into TGraph, after converting to massSplitting, for experiment_key = ", experiment_key, ":") for i in range(len(y)): y[i] = convertFromCmToMassSplitting_v3(x[i], y[i]) - if "observed" is experiment_key: - print i, ": ", x[i], ", ", y[i] + if "observed" == experiment_key: + print( i, ": ", x[i], ", ", y[i]) ## graphTest = TGraph(len(y), lifetimeInCm, y) ## graphTest.Write() @@ -389,7 +386,7 @@ def fillPotHolesTH2F(histogram): n += 1 if n > 0: - print "Filling pothole in histogram", histogram.GetName(), "-- bin (", ix, ", ", iy, ")" + print( "Filling pothole in histogram", histogram.GetName(), "-- bin (", ix, ", ", iy, ")") histogram.SetBinContent(ix, iy, sum / n) histogram.SetBinError(ix, iy, sumErr / n) @@ -413,10 +410,10 @@ def getTH2F(limits,x_key,y_key,experiment_key,theory_key): yBinArray = array("d", yBin) xBinArray = array("d", xBin) if arguments.verbose: - print "Printing xBin:" - print xBin - print "Printing yBin:" - print yBin + print( "Printing xBin:") + print( xBin) + print( "Printing yBin:") + print( yBin) plot2D = TH2F("","",len(xBin)-1,xBinArray,len(yBin)-1,yBinArray) for limit in limits: mass = float (limit['mass']) @@ -426,19 +423,19 @@ def getTH2F(limits,x_key,y_key,experiment_key,theory_key): if mass not in limit_dict[lifetime]: limit_dict[lifetime][mass] = {} limit_dict[lifetime][mass]['experiment'] = limit[experiment_key] - if experiment_key is 'up1' or experiment_key is 'up2': + if experiment_key =='up1' or experiment_key =='up2': limit_dict[lifetime][mass]['experiment'] += limit['expected'] - if experiment_key is 'down1' or experiment_key is 'down2': + if experiment_key =='down1' or experiment_key =='down2': limit_dict[lifetime][mass]['experiment'] = limit['expected'] - limit_dict[lifetime][mass]['experiment'] for theory_mass in signal_cross_sections: if abs (float (theory_mass) - mass) < 1.0e-3: limit_dict[lifetime][mass]['theory'] = float (signal_cross_sections[theory_mass]['value']) theory_error = float (signal_cross_sections[theory_mass]['error']) - if theory_key is 'up2' or theory_key is 'down2': + if theory_key =='up2' or theory_key =='down2': theory_error = 1.0 + 2.0 * (theory_error - 1.0) - if theory_key is 'up1' or theory_key is 'up2': + if theory_key =='up1' or theory_key =='up2': limit_dict[lifetime][mass]['theory'] *= theory_error - if theory_key is 'down1' or theory_key is 'down2': + if theory_key =='down1' or theory_key =='down2': limit_dict[lifetime][mass]['theory'] *= (2.0 - theory_error) for lifetime in sorted (limit_dict.keys ()): ordered_masses = sorted (limit_dict[lifetime].keys ()) @@ -475,19 +472,19 @@ def makeExpLimitsTable(limits, x_key, y_key, experiment_key, theory_key): if mass not in limit_dict[lifetime]: limit_dict[lifetime][mass] = {} limit_dict[lifetime][mass]['experiment'] = limit[experiment_key] - if experiment_key is 'up1' or experiment_key is 'up2': + if experiment_key =='up1' or experiment_key =='up2': limit_dict[lifetime][mass]['experiment'] += limit['expected'] - if experiment_key is 'down1' or experiment_key is 'down2': + if experiment_key =='down1' or experiment_key =='down2': limit_dict[lifetime][mass]['experiment'] = limit['expected'] - limit_dict[lifetime][mass]['experiment'] for theory_mass in signal_cross_sections: if abs (float (theory_mass) - mass) < 1.0e-3: limit_dict[lifetime][mass]['theory'] = float (signal_cross_sections[theory_mass]['value']) theory_error = float (signal_cross_sections[theory_mass]['error']) - if theory_key is 'up2' or theory_key is 'down2': + if theory_key =='up2' or theory_key =='down2': theory_error = 1.0 + 2.0 * (theory_error - 1.0) - if theory_key is 'up1' or theory_key is 'up2': + if theory_key =='up1' or theory_key =='up2': limit_dict[lifetime][mass]['theory'] *= theory_error - if theory_key is 'down1' or theory_key is 'down2': + if theory_key =='down1' or theory_key =='down2': limit_dict[lifetime][mass]['theory'] *= (2.0 - theory_error) for lifetime in sorted (limit_dict.keys ()): @@ -519,7 +516,7 @@ def makeExpLimitsTable(limits, x_key, y_key, experiment_key, theory_key): if math.isnan (mass_limit): mass_limit = 0.0 if mass_limit > first_allowed_mass: - print "ERROR: Something went wrong with lifetime", lifetime, ": first_allowed_mass = ", first_allowed_mass, " is less than the calculated mass limit, ", mass_limit, ". Please investigate." + print( "ERROR: Something went wrong with lifetime", lifetime, ": first_allowed_mass = ", first_allowed_mass, " is less than the calculated mass limit, ", mass_limit, ". Please investigate.") mass_limit = previous_mass x.append (mass_limit) y.append (lifetime) @@ -529,7 +526,7 @@ def makeExpLimitsTable(limits, x_key, y_key, experiment_key, theory_key): file.write('\n') expTable.close() - if x_key is 'lifetime' and y_key is 'mass': + if x_key =='lifetime' and y_key =='mass': x[-1], y[-1] = y[-1], x[-1] graph = TGraph (len (x), x, y) @@ -538,7 +535,7 @@ def makeExpLimitsTable(limits, x_key, y_key, experiment_key, theory_key): expTable.write('\n') expTable.write(' \end{tabular} \end{center}') expTable.close() - print "Table of expected limits for AN stored in: limits/" + arguments.outputDir + print( "Table of expected limits for AN stored in: limits/" + arguments.outputDir) return 'Success' def makeObsLimitsTable(limits, x_key, y_key, experiment_key, theory_key): @@ -554,8 +551,7 @@ def makeObsLimitsTable(limits, x_key, y_key, experiment_key, theory_key): obsTable.write('\hline') obsTable.write('\n') obsTable.close() - print "Table of observed limits for AN stored in: limits/" + arguments.outputDir - + print( "Table of observed limits for AN stored in: limits/" + arguments.outputDir) for limit in limits: mass = float (limit['mass']) lifetime = float (limit['lifetime']) @@ -564,19 +560,19 @@ def makeObsLimitsTable(limits, x_key, y_key, experiment_key, theory_key): if mass not in limit_dict[lifetime]: limit_dict[lifetime][mass] = {} limit_dict[lifetime][mass]['experiment'] = limit[experiment_key] - if experiment_key is 'up1' or experiment_key is 'up2': + if experiment_key =='up1' or experiment_key =='up2': limit_dict[lifetime][mass]['experiment'] += limit['expected'] - if experiment_key is 'down1' or experiment_key is 'down2': + if experiment_key =='down1' or experiment_key =='down2': limit_dict[lifetime][mass]['experiment'] = limit['expected'] - limit_dict[lifetime][mass]['experiment'] for theory_mass in signal_cross_sections: if abs (float (theory_mass) - mass) < 1.0e-3: limit_dict[lifetime][mass]['theory'] = float (signal_cross_sections[theory_mass]['value']) theory_error = float (signal_cross_sections[theory_mass]['error']) - if theory_key is 'up2' or theory_key is 'down2': + if theory_key =='up2' or theory_key =='down2': theory_error = 1.0 + 2.0 * (theory_error - 1.0) - if theory_key is 'up1' or theory_key is 'up2': + if theory_key =='up1' or theory_key =='up2': limit_dict[lifetime][mass]['theory'] *= theory_error - if theory_key is 'down1' or theory_key is 'down2': + if theory_key =='down1' or theory_key =='down2': limit_dict[lifetime][mass]['theory'] *= (2.0 - theory_error) for lifetime in sorted (limit_dict.keys ()): @@ -608,7 +604,7 @@ def makeObsLimitsTable(limits, x_key, y_key, experiment_key, theory_key): if math.isnan (mass_limit): mass_limit = 0.0 if mass_limit > first_allowed_mass: - print "ERROR: Something went wrong with lifetime", lifetime, ": first_allowed_mass = ", first_allowed_mass, " is less than the calculated mass limit, ", mass_limit, ". Please investigate." + print( "ERROR: Something went wrong with lifetime", lifetime, ": first_allowed_mass = ", first_allowed_mass, " is less than the calculated mass limit, ", mass_limit, ". Please investigate.") mass_limit = previous_mass x.append (mass_limit) y.append (lifetime) @@ -618,7 +614,7 @@ def makeObsLimitsTable(limits, x_key, y_key, experiment_key, theory_key): file.write('\n') obsTable.close() - if x_key is 'lifetime' and y_key is 'mass': + if x_key =='lifetime' and y_key =='mass': x[-1], y[-1] = y[-1], x[-1] graph = TGraph (len (x), x, y) @@ -627,7 +623,7 @@ def makeObsLimitsTable(limits, x_key, y_key, experiment_key, theory_key): obsTable.write('\n') obsTable.write(' \end{tabular} \end{center}') obsTable.close() - print "Table of observed limits for AN stored in: limits/" + arguments.outputDir + print ("Table of observed limits for AN stored in: limits/" + arguments.outputDir) return 'Success' @@ -683,7 +679,7 @@ def getGraphAsymmErrors(limits, x_key, y_key, up_key, down_key): down = [ ] y = [ ] for limit in limits: - if not limit.has_key(x_key) or not limit.has_key(up_key) or not limit.has_key(down_key) or not limit.has_key(y_key): + if x_key not in limit.keys() or up_key not in limit.keys() or down_key not in limit.keys() or y_key not in limit.keys(): continue x.append(float(limit[x_key])) up.append(float(limit[up_key])) @@ -711,20 +707,20 @@ def getBorderGraph(graph, errorType): xPoint = Double (0.0) yPoint = Double (0.0) graph.GetPoint (i, xPoint, yPoint) - if errorType is 'horizontal': + if errorType =='horizontal': eHigh = graph.GetErrorXhigh (i) eLow = graph.GetErrorXlow (i) - otherSideX.append (xPoint - eLow) - otherSideY.append (yPoint) - x.append (xPoint + eHigh) - y.append (yPoint) - if errorType is 'vertical': + otherSideX.append (xPoint.value - eLow) + otherSideY.append (yPoint.value) + x.append (xPoint.value + eHigh) + y.append (yPoint.value) + if errorType =='vertical': eHigh = graph.GetErrorYhigh (i) eLow = graph.GetErrorYlow (i) - otherSideX.append (xPoint) - otherSideY.append (yPoint - eLow) - x.append (xPoint) - y.append (yPoint + eHigh) + otherSideX.append (xPoint.value) + otherSideY.append (yPoint.value - eLow) + x.append (xPoint.value) + y.append (yPoint.value + eHigh) for i in range (0, -N, -1): x.append (otherSideX[i - 1]) y.append (otherSideY[i - 1]) @@ -735,10 +731,10 @@ def getGraphAsymmErrors2D(limits, x_key, y_key, experiment_key, up_key, down_key central = getGraph2D (limits, x_key, y_key, experiment_key, 'theory') up = TGraph () down = TGraph () - if experiment_key is 'expected': + if experiment_key =='expected': up = getGraph2D (limits, x_key, y_key, down_key, 'theory') down = getGraph2D (limits, x_key, y_key, up_key, 'theory') - if experiment_key is 'observed': + if experiment_key =='observed': up = getGraph2D (limits, x_key, y_key, 'observed', up_key) down = getGraph2D (limits, x_key, y_key, 'observed', down_key) x = [] @@ -760,35 +756,35 @@ def getGraphAsymmErrors2D(limits, x_key, y_key, experiment_key, up_key, down_key x.append (xPoint) y.append (yPoint) if arguments.verbose: - print "Debug: appending point: (" + str(xPoint) + ", " + str(yPoint) - if y_key is 'lifetime': + print( "Debug: appending point: (" + str(xPoint) + ", " + str(yPoint)) + if y_key =='lifetime': eXHigh.append (upXPoint) eXLow.append (downXPoint) eYHigh.append (0.0) eYLow.append (0.0) - if x_key is 'lifetime': + if x_key =='lifetime': eXHigh.append (0.0) eXLow.append (0.0) eYHigh.append (upYPoint) eYLow.append (downYPoint) for i in range (0, len (x)): - if y_key is 'lifetime': - eXHigh[i] -= x[i] - eXLow[i] = x[i] - eXLow[i] - if x_key is 'lifetime': - eYHigh[i] -= y[i] - eYLow[i] = y[i] - eYLow[i] + if y_key =='lifetime': + eXHigh[i] = Double(eXHigh[i].value - x[i].value) + eXLow[i] = Double(x[i].value - eXLow[i].value) + if x_key =='lifetime': + eYHigh[i] = Double(eYHigh[i].value - y[i].value) + eYLow[i] = Double(y[i].value - eYLow[i].value) graph = TGraphAsymmErrors (len (x), - array ('d', x), - array ('d', y), - array ('d', eXLow), - array ('d', eXHigh), + array ('d', [i.value for i in x]), + array ('d', [i.value for i in y]), + array ('d', [i.value for i in eXLow]), + array ('d', [i.value for i in eXHigh]), array ('d', eYLow), array ('d', eYHigh)) borderGraph = TGraphAsymmErrors () - if y_key is 'lifetime': + if y_key =='lifetime': borderGraph = getBorderGraph (graph, 'horizontal') - if x_key is 'lifetime': + if x_key =='lifetime': borderGraph = getBorderGraph (graph, 'vertical') return borderGraph @@ -831,10 +827,10 @@ def fetchLimits(mass,lifetime,directories): limit['expected'] = 1.0e12 if arguments.verbose: - print "Debug: running fetchLimits for mass = " + str(mass) + "; lifetime = " + str(lifetime) + "; directories = " + str(directories) + print( "Debug: running fetchLimits for mass = " + str(mass) + "; lifetime = " + str(lifetime) + "; directories = " + str(directories)) for directory in directories: if not os.path.exists(os.environ["CMSSW_BASE"]+"/src/DisappTrks/StandardAnalysis/test/limits/"+directory+"/method.txt"): - print "Returning -1 for no method.txt file" + print( "Returning -1 for no method.txt file") return -1 with open(os.environ["CMSSW_BASE"]+"/src/DisappTrks/StandardAnalysis/test/limits/"+directory+"/method.txt", 'r') as methodFile: method = methodFile.readline() @@ -867,12 +863,12 @@ def fetchLimits(mass,lifetime,directories): file = TFile(makeSignalRootFileName(mass,lifetime,directory,"observed")) limit_tree = file.Get('limit') if not file.GetNkeys(): - print "Returning -1 for file.GetNKeys" + print( "Returning -1 for file.GetNKeys") return -1 limit_tree = file.Get('limit') if not limit_tree: - print "Returning -1 for no limit_tree" + print ("Returning -1 for no limit_tree") return -1 if limit_tree.GetEntries() < 6: continue @@ -888,11 +884,11 @@ def fetchLimits(mass,lifetime,directories): file = TFile(makeSignalRootFileName(mass, lifetime, directory, "expected")) limit_tree = file.Get('limit') if not file.GetNkeys(): - print "Returning -1 for file.GetNkeys" + print ("Returning -1 for file.GetNkeys") return -1 limit_tree = file.Get('limit') if not limit_tree: - print "Returning -1 for no limit_tree" + print ("Returning -1 for no limit_tree") return -1 if limit_tree.GetEntries() != 1: continue @@ -907,11 +903,11 @@ def fetchLimits(mass,lifetime,directories): file = TFile(makeSignalRootFileName(mass, lifetime, directory, "observed")) limit_tree = file.Get('limit') if not file.GetNkeys(): - print "Returning -1 for file.GetNkeys" + print( "Returning -1 for file.GetNkeys") return -1 limit_tree = file.Get('limit') if not limit_tree: - print "Returning -1 for no limit_tree" + print( "Returning -1 for no limit_tree") return -1 if limit_tree.GetEntries() != 1: continue @@ -942,7 +938,7 @@ def fetchLimits(mass,lifetime,directories): # print "Debug: Setting limit from line: ", line file.close() if arguments.verbose: - print "Debug: found expected limit: ", tmp_limit['expected'] + print( "Debug: found expected limit: ", tmp_limit['expected']) # print "Debug: opening observed file: " file = open(makeSignalLogFileName(mass,lifetime,directory,"observed")) @@ -951,7 +947,7 @@ def fetchLimits(mass,lifetime,directories): tmp_limit['observed'] = float(line.split(" ")[3]) # Use the last occurence of "Limit:" as the most accurate file.close() if arguments.verbose: - print "Debug: found observed limit: ", tmp_limit['observed'] + print( "Debug: found observed limit: ", tmp_limit['observed']) # print "Debug: opening up1 file: " file = open(makeSignalLogFileName(mass,lifetime,directory,"expected_up1")) @@ -960,7 +956,7 @@ def fetchLimits(mass,lifetime,directories): tmp_limit['up1'] = float(line.split(" ")[3]) # Use the last occurence of "Limit:" as the most accurate file.close() if arguments.verbose: - print "Debug: found up1 limit: ", tmp_limit['up1'] + print( "Debug: found up1 limit: ", tmp_limit['up1']) # print "Debug: opening up2 file: " file = open(makeSignalLogFileName(mass,lifetime,directory,"expected_up2")) @@ -969,7 +965,7 @@ def fetchLimits(mass,lifetime,directories): tmp_limit['up2'] = float(line.split(" ")[3]) # Use the last occurence of "Limit:" as the most accurate file.close() if arguments.verbose: - print "Debug: found up2 limit: ", tmp_limit['up2'] + print( "Debug: found up2 limit: ", tmp_limit['up2']) # print "Debug: opening down1 file: " file = open(makeSignalLogFileName(mass,lifetime,directory,"expected_down1")) @@ -978,7 +974,7 @@ def fetchLimits(mass,lifetime,directories): tmp_limit['down1'] = float(line.split(" ")[3]) # Use the last occurence of "Limit:" as the most accurate file.close() if arguments.verbose: - print "Debug: found down1 limit: ", tmp_limit['down1'] + print( "Debug: found down1 limit: ", tmp_limit['down1']) # print "Debug: opening down2 file: " file = open(makeSignalLogFileName(mass,lifetime,directory,"expected_down2")) @@ -987,7 +983,7 @@ def fetchLimits(mass,lifetime,directories): tmp_limit['down2'] = float(line.split(" ")[3]) # Use the last occurence of "Limit:" as the most accurate file.close() if arguments.verbose: - print "Debug: found down2 limit: ", tmp_limit['down2'] + print( "Debug: found down2 limit: ", tmp_limit['down2']) # for other methods, get the ranges from the log file else: @@ -1051,7 +1047,7 @@ def fetchLimits(mass,lifetime,directories): pass if arguments.verbose: - print "Debug: observed limit in pb = ", tmp_limit['observed'], ", xSection in pb = ", xSection + print( "Debug: observed limit in pb = ", tmp_limit['observed'], ", xSection in pb = ", xSection) tmp_limit['mass'] = mass tmp_limit['lifetime'] = lifetime @@ -1085,15 +1081,15 @@ def drawPlot(plot, th2fType=""): yAxisBins = array('d') nBinsX = 1 nBinsY = 1 - if plot['xAxisType'] is 'mass': + if plot['xAxisType'] =='mass': xAxisMin = float(masses[0]) xAxisMax = float(masses[-1]) - elif plot['xAxisType'] is 'lifetime': + elif plot['xAxisType'] =='lifetime': xAxisMin = float(lifetimes[0]) xAxisMax = float(lifetimes[-1]) if is2D: canvas.SetLogz() - if plot['yAxisType'] is 'mass': + if plot['yAxisType'] =='mass': yAxisMin = float(masses[0]) yAxisMax = float(masses[-1]) xAxisBins.extend ([float (lifetime) for lifetime in lifetimes]) @@ -1101,7 +1097,7 @@ def drawPlot(plot, th2fType=""): yAxisBins.extend ([float (mass) for mass in masses]) yAxisBins.append (2.0 * float (masses[-1]) - float (masses[-2])) yAxisBins.append (8.0 * float (masses[-1]) - 4.0 * float (masses[-2])) - elif plot['yAxisType'] is 'lifetime': + elif plot['yAxisType'] =='lifetime': yAxisMin = float(lifetimes[0]) yAxisMax = 2 * float(lifetimes[-1]) if not plot['convertToMassSplitting']: @@ -1171,9 +1167,9 @@ def drawPlot(plot, th2fType=""): if hasTH2F: th2f = plot['th2fs'] - if th2fType is 'exp': + if th2fType =='exp': tTh2fs.append(getTH2F(th2f['limits'],plot['xAxisType'],plot['yAxisType'],'expected', 'theory')) - if th2fType is 'obs': + if th2fType =='obs': tTh2fs.append(getTH2F(th2f['limits'],plot['xAxisType'],plot['yAxisType'],'observed', 'theory')) tTh2fs[-1].SetTitle("") tTh2fs[-1].GetXaxis().SetTitle(plot['xAxisLabel']) @@ -1220,7 +1216,7 @@ def drawPlot(plot, th2fType=""): hBackground.Draw('axis') if (not is2D) and ('showTheory' in plot and plot['showTheory']) and ('showTheoryError' in plot and plot['showTheoryError']): - if plot['xAxisType'] is 'mass': + if plot['xAxisType'] =='mass': tGraphs.append(getTheoryOneSigmaGraph()) tGraphs[-1].Draw('3') legend.AddEntry(tGraphs[-1], "#pm1 #sigma: theory", 'F') @@ -1230,7 +1226,7 @@ def drawPlot(plot, th2fType=""): legend.AddEntry(tGraphs[-1], 'NLO+NLL prediction', 'L') else: legend.AddEntry(tGraphs[-1], 'theory prediction', 'L') - if plot.has_key('graphs'): + if 'graphs' in plot.keys(): if arguments.paperMode: if not plot['title'] == 'lifetime_vs_mass': legend.SetHeader('95% CL upper limits') @@ -1243,65 +1239,65 @@ def drawPlot(plot, th2fType=""): if not is2D: for graphName in graph['graphsToInclude']: - if graphName is 'twoSigma': + if graphName =='twoSigma': tGraphs.append(getTwoSigmaGraph(graph['limits'],plot['xAxisType'],colorScheme)) tGraphs[-1].Draw('3') if arguments.paperMode: legendEntry = '#pm2 #sigma_{experiment}' else: legendEntry = '#pm2 #sigma' - if graphName is 'legendEntry': + if graphName =='legendEntry': legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'F') tGraphs[-1].SetName(plot['title']+"_graph_twoSigma") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'oneSigma': + if graphName =='oneSigma': tGraphs.append(getOneSigmaGraph(graph['limits'],plot['xAxisType'],colorScheme)) tGraphs[-1].Draw('3') if arguments.paperMode: legendEntry = '#pm1 #sigma_{experiment}' else: legendEntry = '#pm1 #sigma' - if graphName is 'legendEntry': + if graphName =='legendEntry': legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'F') tGraphs[-1].SetName(plot['title']+"_graph_oneSigma") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'exp': + if graphName =='exp': tGraphs.append(getExpectedGraph(graph['limits'],plot['xAxisType'],colorScheme)) tGraphs[-1].Draw('L') if arguments.paperMode: legendEntry = 'Median expected' else: legendEntry = 'exp. limit' - if graphName is 'legendEntry': + if graphName =='legendEntry': legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'L') tGraphs[-1].SetName(plot['title']+"_graph_expected") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'obs': + if graphName =='obs': tGraphs.append(getObservedGraph(graph['limits'],plot['xAxisType'],colorScheme)) tGraphs[-1].Draw('L') if arguments.paperMode: legendEntry = 'Observed' else: legendEntry = 'obs. limit' - if graphName is 'legendEntry': + if graphName =='legendEntry': legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'L') tGraphs[-1].SetName(plot['title']+"_graph_observed") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() else: # is2D == True for graphName in graph['graphsToInclude']: - if graphName is 'twoSigma': + if graphName =='twoSigma': tGraphs.append(getTwoSigmaGraph2D(graph['limits'],plot['xAxisType'],plot['yAxisType'],colorScheme)) if 'legendEntry' in graph: # make transparent if graphs from two sources are being compared tGraphs[-1].SetFillStyle(3001) @@ -1314,9 +1310,9 @@ def drawPlot(plot, th2fType=""): legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'F') tGraphs[-1].SetName(plot['title']+"_graph_twoSigma") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'oneSigma': + if graphName =='oneSigma': tGraphs.append(getOneSigmaGraph2D(graph['limits'],plot['xAxisType'],plot['yAxisType'],colorScheme)) if 'legendEntry' in graph: # make transparent if graphs from two sources are being compared tGraphs[-1].SetFillStyle(3001) @@ -1329,9 +1325,9 @@ def drawPlot(plot, th2fType=""): legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'F') tGraphs[-1].SetName(plot['title']+"_graph_oneSigma") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'exp': + if graphName =='exp': tGraphs.append(getExpectedGraph2D(graph['limits'],plot['xAxisType'],plot['yAxisType'],'expected','theory',colorScheme)) #makeExpLimitsTable(graph['limits'],plot['xAxisType'],plot['yAxisType'],'expected','theory',colorScheme) makeExpLimitsTable(graph['limits'],plot['xAxisType'],plot['yAxisType'],'expected','theory') @@ -1344,9 +1340,9 @@ def drawPlot(plot, th2fType=""): legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'L') tGraphs[-1].SetName(plot['title']+"_graph_expected") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'twoSigmaTheory': + if graphName =='twoSigmaTheory': isMakeTable = True tGraphs.append(getObservedGraph2D(graph['limits'],plot['xAxisType'],plot['yAxisType'],'observed','down2',colorScheme)) lineWidth = tGraphs[-1].GetLineWidth () @@ -1360,9 +1356,9 @@ def drawPlot(plot, th2fType=""): legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'L') tGraphs[-1].SetName(plot['title']+"_graph_twoSigmaTheory") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'oneSigmaTheory': + if graphName =='oneSigmaTheory': tGraphs.append(getObservedGraph2D(graph['limits'],plot['xAxisType'],plot['yAxisType'],'observed','down1',colorScheme)) lineWidth = tGraphs[-1].GetLineWidth () tGraphs[-1].SetLineWidth (lineWidth - 2) @@ -1375,9 +1371,9 @@ def drawPlot(plot, th2fType=""): legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'L') tGraphs[-1].SetName(plot['title']+"_graph_oneSigmaTheory") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() - if graphName is 'obs': + if graphName =='obs': tGraphs.append(getObservedGraph2D(graph['limits'],plot['xAxisType'],plot['yAxisType'],'observed','theory',colorScheme)) makeObsLimitsTable(graph['limits'],plot['xAxisType'],plot['yAxisType'],'observed','theory') tGraphs[-1].Draw('L') @@ -1389,10 +1385,10 @@ def drawPlot(plot, th2fType=""): legendEntry = legendEntry + ": " + graph['legendEntry'] legend.AddEntry(tGraphs[-1], legendEntry, 'L') tGraphs[-1].SetName(plot['title']+"_graph_observed") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() if (not is2D) and ('showTheory' in plot and plot['showTheory']) and ('showTheoryError' not in plot or not plot['showTheoryError']): - if plot['xAxisType'] is 'mass': + if plot['xAxisType'] =='mass': tGraphs.append(getTheoryGraph()) tGraphs[-1].Draw('L') if arguments.paperMode: @@ -1400,7 +1396,7 @@ def drawPlot(plot, th2fType=""): else: legend.AddEntry(tGraphs[-1], 'theory prediction', 'L') tGraphs[-1].SetName(plot['title']+"_graph_theory") - print "Writing TGraph with name: ", tGraphs[-1].GetName() + print( "Writing TGraph with name: ", tGraphs[-1].GetName()) tGraphs[-1].Write() if not is2D: #get the min and max of all graphs, so the y-axis can be set appropriately @@ -1538,7 +1534,7 @@ def drawPlot(plot, th2fType=""): canvas.SaveAs(outputPlotName+".C") # canvas.SetLogy(0) # canvas.SaveAs("limits/"+arguments.outputDir+"/"+plot['title']+"_lin.pdf") - print "Wrote plot to " + outputPlotName + ".pdf" + print ("Wrote plot to " + outputPlotName + ".pdf") ###################################################################################################### @@ -1561,49 +1557,49 @@ def drawPlot(plot, th2fType=""): th2f = plot['th2fs'] th2f['limits'] = [] if 'xAxisType' not in plot or 'yAxisType' not in plot: - print "You want to draw a 2D plot but either X or Y axis is not defined." + print( "You want to draw a 2D plot but either X or Y axis is not defined.") else: for mass in masses: for lifetime in lifetimes: limit = fetchLimits(mass,lifetime,[arguments.outputDir]) - if limit is not -1: + if limit != -1: th2f['limits'].append(limit) else: - print "WARNING: not plotting mass " + str (mass) + " GeV, lifetime " + str (lifetime) + " cm" - if plot.has_key('graphs'): + print( "WARNING: not plotting mass " + str (mass) + " GeV, lifetime " + str (lifetime) + " cm") + if 'graphs' in plot.keys(): for graph in plot['graphs']: graph['limits'] = [] - if plot['xAxisType'] is 'lifetime' and 'yAxisType' not in plot: + if plot['xAxisType'] == 'lifetime' and 'yAxisType' not in plot: for lifetime in lifetimes: lifetime = lifetime.replace(".0", "") lifetime = lifetime.replace("0.", "0p") limit = fetchLimits(graph['mass'],lifetime,[arguments.outputDir]) - if limit is not -1: + if limit != -1: graph['limits'].append(limit) else: - print "WARNING: not plotting lifetime " + str (lifetime) + " cm" - elif plot['xAxisType'] is 'mass' and 'yAxisType' not in plot: + print( "WARNING: not plotting lifetime " + str (lifetime) + " cm") + elif plot['xAxisType'] == 'mass' and 'yAxisType' not in plot: for mass in masses: for lifetime in lifetimes: lifetime = lifetime.replace(".0", "") lifetime = lifetime.replace("0.", "0p") limit = fetchLimits(mass,graph['lifetime'],[arguments.outputDir]) if arguments.verbose: - print "Debug: limit = " + str(limit) + " for mass " + str(mass) + ", limit['expected'] = " + str(limit['expected']) - if limit is not -1: + print ("Debug: limit = " + str(limit) + " for mass " + str(mass) + ", limit['expected'] = " + str(limit['expected'])) + if limit != -1: graph['limits'].append(limit) else: - print "WARNING: for xAxisType=mass, not plotting mass: " + str (mass) + " GeV, lifetime: " + str (lifetime) + ", source: " + arguments.outputDir + print ("WARNING: for xAxisType=mass, not plotting mass: " + str (mass) + " GeV, lifetime: " + str (lifetime) + ", source: " + arguments.outputDir) elif 'yAxisType' in plot: for mass in masses: for lifetime in lifetimes: limit = fetchLimits(mass,lifetime,[arguments.outputDir]) - if limit is not -1: + if limit != -1: graph['limits'].append(limit) if arguments.verbose: - print "Debug: limit for mass " + str(mass) + ", lifetime = " + str(lifetime) + ", limit['expected'] = " + str(limit['expected']) + ", limit['observed'] = " + str(limit['observed']) + print( "Debug: limit for mass " + str(mass) + ", lifetime = " + str(lifetime) + ", limit['expected'] = " + str(limit['expected']) + ", limit['observed'] = " + str(limit['observed'])) else: - print "WARNING: not plotting mass " + str (mass) + " GeV, lifetime " + str (lifetime) + " cm" + print( "WARNING: not plotting mass " + str (mass) + " GeV, lifetime " + str (lifetime) + " cm") #now that all the limits are in place, draw the plot if 'th2fs' in plot: for th2fType in (plot['th2fs'])['th2fsToInclude']: @@ -1612,4 +1608,4 @@ def drawPlot(plot, th2fType=""): drawPlot(plot) outputFile.Close() -print "Finished writing ", outputFile.GetName() +print( "Finished writing ", outputFile.GetName()) diff --git a/LimitSetting/scripts/runLimits.py b/LimitSetting/scripts/runLimits.py index 0d90ae1bc..8cb89bf30 100755 --- a/LimitSetting/scripts/runLimits.py +++ b/LimitSetting/scripts/runLimits.py @@ -15,25 +15,19 @@ from DisappTrks.LimitSetting.limitOptions import * if not arguments.era in validEras: - print - print "Invalid or empty data-taking era specific (-e). Allowed eras:" - print str(validEras) - print + print( "Invalid or empty data-taking era specific (-e). Allowed eras:") + print( str(validEras)) sys.exit(0) if arguments.limitType not in validLimitTypes: - print - print "Invalid or empty limit type to run (-l). Allowed types:" - print str(validLimitTypes) - print + print( "Invalid or empty limit type to run (-l). Allowed types:") + print( str(validLimitTypes)) sys.exit(0) if arguments.method not in ["HybridNew", "MarkovChainMC", "AsymptoticLimits", "AsymptoticSignificance"]: - print - print "Invalid method (-M). Allowed methods:" + print( "Invalid method (-M). Allowed methods:") for x in ["HybridNew", "MarkovChainMC", "AsymptoticLimits", "AsymptoticSignificance"]: - print "\t" + x - print + print( "\t" + x) sys.exit(0) if arguments.limitType == "wino": @@ -42,7 +36,7 @@ from DisappTrks.LimitSetting.higgsinoElectroweakLimits import * if not arguments.outputDir: - print "No output directory specified, shame on you" + print( "No output directory specified, shame on you") sys.exit(0) if arguments.outputDir: @@ -55,7 +49,7 @@ def output_condor(combine_command, datacard, options): f = open ("condor.sh", "w") f.write (script) f.close () - os.chmod ("condor.sh", 0775) + os.chmod ("condor.sh", 775) command = "condor.sh" sub_file = "" @@ -75,6 +69,8 @@ def output_condor(combine_command, datacard, options): sub_file += "Log = condor_$(Process).log\n" sub_file += "\n" sub_file += "should_transfer_files = yes\n" + print("Combine command", type(combine_command), combine_command) + print("datacard", type(datacard), datacard) sub_file += "transfer_input_files = " + combine_command + "," + datacard + "\n" sub_file += "\n" sub_file += "request_memory = 2048MB\n" @@ -90,7 +86,7 @@ def output_condor(combine_command, datacard, options): ### create a file to keep track of which combine method was used ### (since extracting the limits is different for each one) #methodFile = open(os.environ["CMSSW_BASE"]+"/src/DisplacedSUSY/LimitsCalculation/test/limits/"+arguments.outputDir+"/method.txt", "w") -print os.environ["CMSSW_BASE"]+"/src/DisappTrks/StandardAnalysis/test/limits/"+arguments.outputDir+"/method.txt" +print( os.environ["CMSSW_BASE"]+"/src/DisappTrks/StandardAnalysis/test/limits/"+arguments.outputDir+"/method.txt") methodFile = open(os.environ["CMSSW_BASE"]+"/src/DisappTrks/StandardAnalysis/test/limits/"+arguments.outputDir+"/method.txt", "w") methodFile.write(arguments.method) @@ -111,6 +107,8 @@ def output_condor(combine_command, datacard, options): condor_expected_dir = "limits/"+arguments.outputDir+"/"+signal_name+"_expected" condor_observed_dir = "limits/"+arguments.outputDir+"/"+signal_name+"_observed" datacard_name = "datacard_"+signal_name+".txt" + print("OutputDir:", arguments.outputDir) + print("Datacard name", datacard_name) datacard_src_name = "limits/"+arguments.outputDir+"/"+datacard_name datacard_dst_expected_name = condor_expected_dir+"/"+datacard_name datacard_dst_observed_name = condor_observed_dir+"/"+datacard_name @@ -147,20 +145,21 @@ def output_condor(combine_command, datacard, options): combine_expected_options += " --rMin 0.00000001 --rMax 2 " combine_observed_options += " --rMin 0.00000001 --rMax 2 " - combine_command = subprocess.Popen(["which", "combine"], stdout=subprocess.PIPE).communicate()[0] + combine_command = subprocess.Popen(["which", "combine"], stdout=subprocess.PIPE).communicate()[0].decode('UTF-8') combine_command = combine_command.rstrip() shutil.rmtree(condor_expected_dir, True) os.mkdir(condor_expected_dir) + print("Output:", datacard_src_name, datacard_dst_expected_name) shutil.copy(datacard_src_name, datacard_dst_expected_name) os.chdir(condor_expected_dir) if not arguments.batchMode: command = "(combine "+datacard_name+" "+combine_expected_options+" --name "+signal_name+" | tee /dev/null) > combine_log_"+signal_name+".txt" - print command + print( command) os.system(command) else: - print "combine "+datacard_name+" "+combine_expected_options+" --name "+signal_name + print( "combine "+datacard_name+" "+combine_expected_options+" --name "+signal_name) output_condor(combine_command, datacard_name, datacard_name+" "+combine_expected_options+" --name "+signal_name+" | tee /dev/null") os.system("LD_LIBRARY_PATH=/usr/lib64/condor:$LD_LIBRARY_PATH condor_submit condor.sub") @@ -175,11 +174,11 @@ def output_condor(combine_command, datacard, options): os.chdir(condor_expected_dirVary) if not arguments.batchMode: commandVary = command.replace("expectedFromGrid 0.5", "expectedFromGrid " + vary[1]) - print commandVary + print( commandVary) os.system(commandVary) else: combine_expected_optionsVary = combine_expected_options.replace("expectedFromGrid 0.5", "expectedFromGrid " + vary[1]) - print "combine "+datacard_name+" "+combine_expected_optionsVary+" --name "+signal_name + print( "combine "+datacard_name+" "+combine_expected_optionsVary+" --name "+signal_name) output_condor(combine_command, datacard_name, datacard_name+" "+combine_expected_optionsVary+" --name "+signal_name+" | tee /dev/null") os.system("LD_LIBRARY_PATH=/usr/lib64/condor:$LD_LIBRARY_PATH condor_submit condor.sub") @@ -193,12 +192,12 @@ def output_condor(combine_command, datacard, options): if not arguments.batchMode: # command = "(combine "+datacard_name+" "+combine_observed_options+" --name "+signal_name+" | tee /dev/null) > combine_log_"+signal_name+".log" command = "(combine "+datacard_name+" "+combine_observed_options+" --name "+signal_name+" | tee /dev/null) > combine_log_"+signal_name+".txt" - print command + print( command) os.system(command) else: - print "combine "+datacard_name+" "+combine_observed_options+" --name "+signal_name + print( "combine "+datacard_name+" "+combine_observed_options+" --name "+signal_name) output_condor(combine_command, datacard_name, datacard_name+" "+combine_observed_options+" --name "+signal_name+" | tee /dev/null") os.system("LD_LIBRARY_PATH=/usr/lib64/condor:$LD_LIBRARY_PATH condor_submit condor.sub") diff --git a/LimitSetting/test/amsbLimitPlotConfigPaper.py b/LimitSetting/test/amsbLimitPlotConfigPaper.py index 915a6d899..8e4b8d7fc 100644 --- a/LimitSetting/test/amsbLimitPlotConfigPaper.py +++ b/LimitSetting/test/amsbLimitPlotConfigPaper.py @@ -6,7 +6,12 @@ # # Copied from https://raw.github.com/DisplacedSUSY/DisplacedSUSY/master/LimitsCalculation/test/sampleLimitConfig.py -from DisappTrks.SignalMC.signalCrossSecs import * +import os + +if not (os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_")): + exec("from DisappTrks.SignalMC.signalCrossSecs import *") +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + exec("from DisappTrks.SignalMC.signalCrossSecs13p6TeV import *") from DisappTrks.StandardAnalysis.plotUtilities import * from DisappTrks.StandardAnalysis.IntegratedLuminosity_cff import * diff --git a/LimitSetting/test/quickCreateCards2022.sh b/LimitSetting/test/quickCreateCards2022.sh new file mode 100755 index 000000000..ab12199ce --- /dev/null +++ b/LimitSetting/test/quickCreateCards2022.sh @@ -0,0 +1,39 @@ +#!/bin/bash + +SUFFIX=`date +%Y%b%d` + +echo "Creating 2022 cards with suffix ${SUFFIX}..." + +source /cvmfs/cms.cern.ch/cmsset_default.sh +eval `scramv1 runtime -sh` + +###################### + +echo "Creating 2022F_NLayers6plus..." +makeDatacards.py -g -e 2022F_NLayers6plus -c limits_2022F_NLayers6plus_${SUFFIX} + +echo "Creating 2022F_NLayers5..." +makeDatacards.py -g -e 2022F_NLayers5 -c limits_2022F_NLayers5_${SUFFIX} + +echo "Creating 2022F_NLayers4..." +makeDatacards.py -g -e 2022F_NLayers4 -c limits_2022F_NLayers4_${SUFFIX} + +###################### + +echo + +echo combineDatacards.py -l wino -s ${SUFFIX} + +echo + +echo "Now run:" +echo "runLimits.py --noPicky -b -l wino -M AsymptoticLimits -c limits_2022F_NLayers4_${SUFFIX} -e 2022F_NLayers4" +echo "runLimits.py --noPicky -b -l wino -M AsymptoticLimits -c limits_2022F_NLayers5_${SUFFIX} -e 2022F_NLayers5" +echo "runLimits.py --noPicky -b -l wino -M AsymptoticLimits -c limits_2022F_NLayers6plus_${SUFFIX} -e 2022F_NLayers6plus" +echo "runLimits.py --noPicky -b -l wino -M AsymptoticLimits -c limits_run3_${SUFFIX} -e run3" +echo + +echo "Examples of plotting..." +echo "makeLimitPlots.py -e 2022F_NLayers6plus -l wino -c limits_2022F_NLayers6plus_${SUFFIX} -o exp" +echo "makeLimitPlots.py -e run3 -l wino -c limits_run3_${SUFFIX} -o exp" +echo "Or try: ./quickCreatePlots.py" diff --git a/README.md b/README.md index 5beadcd52..68409250a 100644 --- a/README.md +++ b/README.md @@ -1,38 +1,47 @@ -## 'Full' recipe including osusub.py +## 'Full' recipe including osusub.py: AOD+MiniAOD skim ``` -cmsrel CMSSW_12_4_11_patch3 -cd CMSSW_12_4_11_patch3/src +cmsrel CMSSW_13_0_13 +cd CMSSW_13_0_13/src cmsenv git-cms-init -git cms-addpkg IOPool/Input - -sed -i '/assert(readEventSucceeded)/s/^/\/\//' IOPool/Input/src/PoolSource.cc git clone https://github.com/OSU-CMS/DisappTrksML.git git clone https://github.com/OSU-CMS/DisappTrks.git git clone https://github.com/OSU-CMS/OSUT3Analysis.git +cd DisappTrksML +git checkout tags/cmssw_13_0_13 +cd ../DisappTrks +git checkout update_CMSSW_13 +cd ../OSUT3Analysis +git checkout update_CMSSW_13 +cd .. + OSUT3Analysis/AnaTools/scripts/setupFramework.py -f MINI_AOD_2022 -c DisappTrks/StandardAnalysis/interface/CustomDataFormat.h scramv1 b -j 9 ``` -### Recipie when running AOD/MINIAOD Merger (NoCuts) +## 'Full' recipe including osusub.py: MiniAOD only ``` -cmsrel CMSSW_12_4_11_patch3 -cd CMSSW_12_4_11_patch3/src +cmsrel CMSSW_13_0_13 +cd CMSSW_13_0_13/src cmsenv git-cms-init -git cms-addpkg IOPool/Input - -sed -i '/assert(readEventSucceeded)/s/^/\/\//' IOPool/Input/src/PoolSource.cc git clone https://github.com/OSU-CMS/DisappTrksML.git git clone https://github.com/OSU-CMS/DisappTrks.git git clone https://github.com/OSU-CMS/OSUT3Analysis.git -git checkout -b eventMask origin/eventMask -OSUT3Analysis/AnaTools/scripts/setupFramework.py -f MINI_AOD_2022 -c DisappTrks/StandardAnalysis/interface/CustomDataFormat.h +cd DisappTrksML +git checkout tags/cmssw_13_0_13 +cd ../DisappTrks +git checkout update_CMSSW_13 +cd ../OSUT3Analysis +git checkout update_CMSSW_13 +cd .. + +OSUT3Analysis/AnaTools/scripts/setupFramework.py -f MINI_AOD_ONLY_2022 -c DisappTrks/StandardAnalysis/interface/CustomDataFormat.h scramv1 b -j 9 ``` diff --git a/SignalMC/plugins/CharginoValidator.h b/SignalMC/plugins/CharginoValidator.h index f9eb20b49..7dbb33bb7 100644 --- a/SignalMC/plugins/CharginoValidator.h +++ b/SignalMC/plugins/CharginoValidator.h @@ -31,7 +31,7 @@ #include "Geometry/Records/interface/TrackerTopologyRcd.h" #include "FWCore/Framework/interface/Frameworkfwd.h" -#include "FWCore/Framework/interface/one/EDAnalyzer.h" +#include "FWCore/Framework/interface/stream/EDAnalyzer.h" #include "FWCore/Framework/interface/ESHandle.h" @@ -70,7 +70,6 @@ #include "DataFormats/JetReco/interface/PFJet.h" #include "DataFormats/JetReco/interface/PFJetCollection.h" #include "DataFormats/MuonReco/interface/Muon.h" -#include "FWCore/Framework/interface/EDAnalyzer.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" #include "FWCore/ParameterSet/interface/ParameterSet.h" @@ -80,7 +79,7 @@ using namespace std; -class CharginoValidator : public edm::one::EDAnalyzer { +class CharginoValidator : public edm::stream::EDAnalyzer<> { public: explicit CharginoValidator (const edm::ParameterSet &); ~CharginoValidator (); diff --git a/SignalMC/plugins/DecayPositionFilter.cc b/SignalMC/plugins/DecayPositionFilter.cc index e02e50296..77dd4e2f0 100644 --- a/SignalMC/plugins/DecayPositionFilter.cc +++ b/SignalMC/plugins/DecayPositionFilter.cc @@ -11,7 +11,7 @@ // user include files #include "FWCore/Framework/interface/Frameworkfwd.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -47,7 +47,7 @@ using namespace reco; // class decleration // -class DecayPositionFilter : public edm::EDFilter { +class DecayPositionFilter : public edm::stream::EDFilter<> { public: explicit DecayPositionFilter(const edm::ParameterSet&); ~DecayPositionFilter(); diff --git a/SignalMC/plugins/HepMCDecayFilter.cc b/SignalMC/plugins/HepMCDecayFilter.cc index bd6ecc330..56ee9f457 100644 --- a/SignalMC/plugins/HepMCDecayFilter.cc +++ b/SignalMC/plugins/HepMCDecayFilter.cc @@ -11,7 +11,7 @@ // user include files #include "FWCore/Framework/interface/Frameworkfwd.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -46,7 +46,7 @@ using namespace HepMC; // class decleration // -class HepMCDecayFilter : public edm::EDFilter { +class HepMCDecayFilter : public edm::stream::EDFilter<> { public: explicit HepMCDecayFilter(const edm::ParameterSet&); ~HepMCDecayFilter(); diff --git a/SignalMC/plugins/MCParticlePairSumPtFilter.cc b/SignalMC/plugins/MCParticlePairSumPtFilter.cc index 7e3a03dc4..93b376874 100644 --- a/SignalMC/plugins/MCParticlePairSumPtFilter.cc +++ b/SignalMC/plugins/MCParticlePairSumPtFilter.cc @@ -11,7 +11,7 @@ // user include files #include "FWCore/Framework/interface/Frameworkfwd.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -32,7 +32,7 @@ using namespace std; // class decleration // -class MCParticlePairSumPtFilter : public edm::EDFilter { +class MCParticlePairSumPtFilter : public edm::stream::EDFilter<> { public: explicit MCParticlePairSumPtFilter(const edm::ParameterSet&); ~MCParticlePairSumPtFilter(); diff --git a/SignalMC/plugins/TrackImageAnalyzer.cc b/SignalMC/plugins/TrackImageAnalyzer.cc index 6b488286a..f6c256473 100644 --- a/SignalMC/plugins/TrackImageAnalyzer.cc +++ b/SignalMC/plugins/TrackImageAnalyzer.cc @@ -25,7 +25,9 @@ TrackImageAnalyzer::TrackImageAnalyzer(const edm::ParameterSet &cfg) : minTrackPt_ (cfg.getParameter ("minTrackPt")), maxRelTrackIso_ (cfg.getParameter ("maxRelTrackIso")), maxDEtaTrackRecHit_ (cfg.getParameter ("maxDEtaTrackRecHit")), - maxDPhiTrackRecHit_ (cfg.getParameter ("maxDPhiTrackRecHit")) + maxDPhiTrackRecHit_ (cfg.getParameter ("maxDPhiTrackRecHit")), + + caloGeomToken_(esConsumes()) { tracksToken_ = consumes > (tracks_); genParticlesToken_ = consumes > (genParticles_); @@ -107,7 +109,8 @@ TrackImageAnalyzer::analyze(const edm::Event &event, const edm::EventSetup &setu edm::Handle tauMuonDiscriminator; event.getByToken(tauMuonDiscriminatorToken_, tauMuonDiscriminator); - setup.get().get(caloGeometry_); + // setup.get().get(caloGeometry_); + caloGeometry_ = setup.getHandle(caloGeomToken_); if (!caloGeometry_.isValid()) throw cms::Exception("FatalError") << "Unable to find CaloGeometryRecord in event!\n"; diff --git a/SignalMC/plugins/TrackImageAnalyzer.h b/SignalMC/plugins/TrackImageAnalyzer.h index 23fbcecea..3943f779d 100644 --- a/SignalMC/plugins/TrackImageAnalyzer.h +++ b/SignalMC/plugins/TrackImageAnalyzer.h @@ -81,6 +81,7 @@ class TrackImageAnalyzer : public edm::stream::EDAnalyzer<> { edm::EDGetTokenT EERecHitsToken_; edm::EDGetTokenT HBHERecHitsToken_; + const edm::ESGetToken caloGeomToken_; edm::ESHandle caloGeometry_; edm::Service fs_; diff --git a/SignalMC/python/signalCrossSecs13p6TeV.py b/SignalMC/python/signalCrossSecs13p6TeV.py new file mode 100644 index 000000000..4bfde4a4b --- /dev/null +++ b/SignalMC/python/signalCrossSecs13p6TeV.py @@ -0,0 +1,240 @@ +#!/usr/bin/env python3 + +import math +from OSUT3Analysis.Configuration.Measurement import Measurement + +# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections13x6TeVn2x1wino +# aNNLO+NNLL in Resummino https://arxiv.org/pdf/2304.11915 +chargino_neutralino_cross_sections = { + # values and errors are in pb; errors are absolute, converted to relative below + '100' : { + 'value' : str ( 24917.2 * 1.0e-3 ), + 'error' : str ( 740.936 * 1.0e-3 ), + }, + '200' : { + 'value' : str ( 2016.0 * 1.0e-3 ), + 'error' : str ( 58.733 * 1.0e-3 ), + }, + '300' : { + 'value' : str ( 436.634 * 1.0e-3 ), + 'error' : str ( 15.3975 * 1.0e-3 ), + }, + '400' : { + 'value' : str ( 137.834 * 1.0e-3 ), + 'error' : str ( 5.84063 * 1.0e-3 ), + }, + '500' : { + 'value' : str ( 53.2405 * 1.0e-3 ), + 'error' : str ( 2.64758 * 1.0e-3 ), + }, + '600' : { + 'value' : str ( 23.3072 * 1.0e-3 ), + 'error' : str ( 1.34653 * 1.0e-3 ), + }, + '700' : { + 'value' : str ( 11.1063 * 1.0e-3 ), + 'error' : str ( 0.743621 * 1.0e-3 ), + }, + '800' : { + 'value' : str ( 5.62384 * 1.0e-3 ), + 'error' : str ( 0.438769 * 1.0e-3 ), + }, + '900' : { + 'value' : str ( 2.9798 * 1.0e-3 ), + 'error' : str ( 0.272676 * 1.0e-3 ), + }, + '1000' : { + 'value' : str ( 1.63418 * 1.0e-3 ), + 'error' : str ( 0.177529 * 1.0e-3 ), + }, + '1100' : { + 'value' : str ( 0.921113 * 1.0e-3 ), + 'error' : str ( 0.119926 * 1.0e-3 ), + }, + '1200' : { + 'value' : str ( 0.53052 * 1.0e-3 ), + 'error' : str ( 0.0842752 * 1.0e-3 ), + }, +} + +# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections13x6TeVn2x1wino +# aNNLO+NNLL in Resummino https://arxiv.org/pdf/2304.11915 +chargino_chargino_cross_sections = { + # values and errors are in pb; errors are absolute, converted to relative below + '100' : { + 'value' : str ( 12838.1 * 1.0e-3 ), + 'error' : str ( 513.923 * 1.0e-3 ), + }, + '200' : { + 'value' : str ( 1012.26 * 1.0e-3 ), + 'error' : str ( 35.4766 * 1.0e-3 ), + }, + '300' : { + 'value' : str ( 215.458 * 1.0e-3 ), + 'error' : str ( 8.75624 * 1.0e-3 ), + }, + '400' : { + 'value' : str ( 66.9628 * 1.0e-3 ), + 'error' : str ( 3.23204 * 1.0e-3 ), + }, + '500' : { + 'value' : str ( 25.4927 * 1.0e-3 ), + 'error' : str ( 1.44275 * 1.0e-3 ), + }, + '600' : { + 'value' : str ( 11.0143 * 1.0e-3 ), + 'error' : str ( 0.725663 * 1.0e-3 ), + }, + '700' : { + 'value' : str ( 5.18784 * 1.0e-3 ), + 'error' : str ( 0.398582 * 1.0e-3 ), + }, + '800' : { + 'value' : str ( 2.6006 * 1.0e-3 ), + 'error' : str ( 0.234445 * 1.0e-3 ), + }, + '900' : { + 'value' : str ( 1.36707 * 1.0e-3 ), + 'error' : str ( 0.145547 * 1.0e-3 ), + }, + '1000' : { + 'value' : str ( 0.745121 * 1.0e-3 ), + 'error' : str ( 0.0948022 * 1.0e-3 ), + }, + '1100' : { + 'value' : str ( 0.418273 * 1.0e-3 ), + 'error' : str ( 0.0643228 * 1.0e-3 ), + }, + '1200' : { + 'value' : str ( 0.240557 * 1.0e-3 ), + 'error' : str ( 0.0450304 * 1.0e-3 ), + }, +} + +signal_cross_sections = {} + +for mass in chargino_neutralino_cross_sections: + cnX = chargino_neutralino_cross_sections[mass] + ccX = chargino_chargino_cross_sections[mass] + + cn = Measurement (cnX['value'], cnX['error']) + cc = Measurement (ccX['value'], ccX['error']) + + total = cn + cc + + # convert errors from absolute to relative + chargino_neutralino_cross_sections[mass]['error'] = str (1.0 + (cn.uncertainty () / cn.centralValue ())) + chargino_chargino_cross_sections[mass]['error'] = str (1.0 + (cc.uncertainty () / cc.centralValue ())) + signal_cross_sections[mass] = { + 'value' : str (total.centralValue ()), + 'error' : str (1.0 + (total.uncertainty () / total.centralValue ())), + } + +# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections13x6TeVhinosplit +# aNNLO+NNLL in Resummino https://arxiv.org/pdf/2304.11915 +# multiply by two for degenerate N1/N2 +higgsino_n2c1 = { + # values and errors are in pb; errors are absolute, converted to relative below + '100' : { + 'value' : str ( 6229.35 * 1.0e-3 * 2 ), + 'error' : str ( 185.265 * 1.0e-3 * math.sqrt(2) ), + }, + '200' : { + 'value' : str ( 504.02 * 1.0e-3 * 2 ), + 'error' : str ( 14.683 * 1.0e-3 * math.sqrt(2) ), + }, + '300' : { + 'value' : str ( 109.167 * 1.0e-3 * 2 ), + 'error' : str ( 3.84871 * 1.0e-3 * math.sqrt(2) ), + }, + '400' : { + 'value' : str ( 34.4632 * 1.0e-3 * 2 ), + 'error' : str ( 1.46005 * 1.0e-3 * math.sqrt(2) ), + }, + '500' : { + 'value' : str ( 13.3129 * 1.0e-3 * 2 ), + 'error' : str ( 0.661957 * 1.0e-3 * math.sqrt(2) ), + }, + '600' : { + 'value' : str ( 5.82839 * 1.0e-3 * 2 ), + 'error' : str ( 0.336897 * 1.0e-3 * math.sqrt(2) ), + }, + '700' : { + 'value' : str ( 2.77757 * 1.0e-3 * 2 ), + 'error' : str ( 0.185965 * 1.0e-3 * math.sqrt(2) ), + }, + '800' : { + 'value' : str ( 1.4066 * 1.0e-3 * 2 ), + 'error' : str ( 0.109758 * 1.0e-3 * math.sqrt(2) ), + }, + '900' : { + 'value' : str ( 0.745364 * 1.0e-3 * 2 ), + 'error' : str ( 0.0682122 * 1.0e-3 * math.sqrt(2) ), + }, + '1000' : { + 'value' : str ( 0.40882 * 1.0e-3 * 2 ), + 'error' : str ( 0.0444191 * 1.0e-3 * math.sqrt(2) ), + }, +} + +# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections13x6TeVhinosplit +# aNNLO+NNLL in Resummino https://arxiv.org/pdf/2304.11915 +higgsino_c1c1 = { + # values and errors are in pb; errors are absolute, converted to relative below + '100' : { + 'value' : str ( 3328.8 * 1.0e-3 ), + 'error' : str ( 129.701 * 1.0e-3 ), + }, + '200' : { + 'value' : str ( 282.34 * 1.0e-3 ), + 'error' : str ( 9.78659 * 1.0e-3 ), + }, + '300' : { + 'value' : str ( 61.2041 * 1.0e-3 ), + 'error' : str ( 2.45521 * 1.0e-3 ), + }, + '400' : { + 'value' : str ( 19.1958 * 1.0e-3 ), + 'error' : str ( 0.914351 * 1.0e-3 ), + }, + '500' : { + 'value' : str ( 7.35264 * 1.0e-3 ), + 'error' : str ( 0.412511 * 1.0e-3 ), + }, + '600' : { + 'value' : str ( 3.19172 * 1.0e-3 ), + 'error' : str ( 0.209581 * 1.0e-3 ), + }, + '700' : { + 'value' : str ( 1.50946 * 1.0e-3 ), + 'error' : str ( 0.116121 * 1.0e-3 ), + }, + '800' : { + 'value' : str ( 0.759528 * 1.0e-3 ), + 'error' : str ( 0.0688722 * 1.0e-3 ), + }, + '900' : { + 'value' : str ( 0.400664 * 1.0e-3 ), + 'error' : str ( 0.0432108 * 1.0e-3 ), + }, + '1000' : { + 'value' : str ( 0.219273 * 1.0e-3 ), + 'error' : str ( 0.0285098 * 1.0e-3 ), + }, +} + +signal_cross_sections_higgsino = {} + +for mass in higgsino_n2c1: + cn = Measurement (higgsino_n2c1[mass]['value'], higgsino_n2c1[mass]['error']) + cc = Measurement (higgsino_c1c1[mass]['value'], higgsino_c1c1[mass]['error']) + + total = cn + cc + + # convert errors from absolute to relative + higgsino_n2c1[mass]['error'] = str (1.0 + (cn.uncertainty () / cn.centralValue ())) + higgsino_c1c1[mass]['error'] = str (1.0 + (cc.uncertainty () / cc.centralValue ())) + signal_cross_sections_higgsino[mass] = { + 'value' : str (total.centralValue ()), + 'error' : str (1.0 + (total.uncertainty () / total.centralValue ())), + } diff --git a/SignalMC/python/signalCrossSecs14TeV.py b/SignalMC/python/signalCrossSecs14TeV.py deleted file mode 100644 index 66be1111b..000000000 --- a/SignalMC/python/signalCrossSecs14TeV.py +++ /dev/null @@ -1,256 +0,0 @@ -#!/usr/bin/env python3 - -import math -from OSUT3Analysis.Configuration.Measurement import Measurement - -# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections14TeVn2x1wino -# not clear if this includes CTEQ6.6, or just MSTW2008nlo90cl ? -chargino_neutralino_cross_sections = { - # values : [pb] - # errors : % -- will be converted to 1.0 +/- (%/100) - '100' : { - 'value' : 25134. * 1.0e-3, - 'scaleDown' : -1.3, - 'pdfDown' : -3.3, - 'scaleUp' : 0.42, - 'pdfUp' : 3.4, - }, - '200' : { - 'value' : 2059.6 * 1.0e-3, - 'scaleDown' : -0.56, - 'pdfDown' : -3.7, - 'scaleUp' : 0.26, - 'pdfUp' : 3.7 - }, - '300' : { - 'value' : 451.45 * 1.0e-3, - 'scaleDown' : -0.53, - 'pdfDown' : -4.1, - 'scaleUp' : 0.63, - 'pdfUp' : 4.3, - }, - '400' : { - 'value' : 144.26 * 1.0e-3, - 'scaleDown' : -0.33, - 'pdfDown' : -4.6, - 'scaleUp' : 0.86, - 'pdfUp' : 4.9, - }, - '500' : { - 'value' : 56.42 * 1.0e-3, - 'scaleDown' : -0.27, - 'pdfDown' : -4.9, - 'scaleUp' : 1.0, - 'pdfUp' : 5.5, - }, - '600' : { - 'value' : 25.05 * 1.0e-3, - 'scaleDown' : -0.49, - 'pdfDown' : -5.3, - 'scaleUp' : 0.86, - 'pdfUp' : 6.2, - }, - '700' : { - 'value' : 12.11 * 1.0e-3, - 'scaleDown' : -0.56, - 'pdfDown' : -5.5, - 'scaleUp' : 0.68, - 'pdfUp' : 7.1, - }, - '800' : { - 'value' : 6.19 * 1.0e-3, - 'scaleDown' : -0.7, - 'pdfDown' : -6., - 'scaleUp' : 0.96, - 'pdfUp' : 7.9, - }, - '900' : { - 'value' : 3.3 * 1.0e-3, - 'scaleDown' : -0.65, - 'pdfDown' : -6.4, - 'scaleUp' : 0.89, - 'pdfUp' : 8.6, - }, - '1000' : { - 'value' : 1.83 * 1.0e-3, - 'scaleDown' : -1., - 'pdfDown' : -7.4, - 'scaleUp' : 0.77, - 'pdfUp' : 9.4, - }, - '1100' : { - 'value' : 1.04 * 1.0e-3, - 'scaleDown' : -1.2, - 'pdfDown' : -7.9, - 'scaleUp' : 0.48, - 'pdfUp' : 10., - }, -} - -# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections14TeVx1x1wino -# not clear if this includes CTEQ6.6, or just MSTW2008nlo90cl ? -chargino_chargino_cross_sections = { - # values and errors are in pb; errors are absolute, converted to relative below - '100' : { - 'value' : str ( 11611.9 * 1.0e-3 ), - 'error' : str ( 518.613 * 1.0e-3 ), - }, - '200' : { - 'value' : str ( 902.569 * 1.0e-3 ), - 'error' : str ( 53.7411 * 1.0e-3 ), - }, - '300' : { - 'value' : str ( 190.159 * 1.0e-3 ), - 'error' : str ( 13.4438 * 1.0e-3 ), - }, - '400' : { - 'value' : str ( 58.6311 * 1.0e-3 ), - 'error' : str ( 4.7276 * 1.0e-3 ), - }, - '500' : { - 'value' : str ( 22.1265 * 1.0e-3 ), - 'error' : str ( 1.94904 * 1.0e-3 ), - }, - '600' : { - 'value' : str ( 9.49913 * 1.0e-3 ), - 'error' : str ( 0.912324 * 1.0e-3 ), - }, - '700' : { - 'value' : str ( 4.4387 * 1.0e-3 ), - 'error' : str ( 0.457123 * 1.0e-3 ), - }, - '800' : { - 'value' : str ( 2.21197 * 1.0e-3 ), - 'error' : str ( 0.245196 * 1.0e-3 ), - }, - '900' : { - 'value' : str ( 1.15301 * 1.0e-3 ), - 'error' : str ( 0.135822 * 1.0e-3 ), - }, - '1000' : { - 'value' : str ( 0.621866 * 1.0e-3 ), - 'error' : str ( 0.0771005 * 1.0e-3 ), - }, - '1100' : { - 'value' : str ( 0.342626 * 1.0e-3 ), - 'error' : str ( 0.0427672 * 1.0e-3 ), - }, -} - -signal_cross_sections = {} - -for mass in chargino_neutralino_cross_sections: - cnX = chargino_neutralino_cross_sections[mass] - ccX = chargino_chargino_cross_sections[mass] - - cn = Measurement (cnX['value'], cnX['error']) - cc = Measurement (ccX['value'], ccX['error']) - - total = cn + cc - - # convert errors from absolute to relative - chargino_neutralino_cross_sections[mass]['error'] = str (1.0 + (cn.uncertainty () / cn.centralValue ())) - chargino_chargino_cross_sections[mass]['error'] = str (1.0 + (cc.uncertainty () / cc.centralValue ())) - signal_cross_sections[mass] = { - 'value' : str (total.centralValue ()), - 'error' : str (1.0 + (total.uncertainty () / total.centralValue ())), - } - -# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections13TeVn2x1hino -# multiply by two for degenerate N1/N2 -higgsino_n2c1 = { - # values and errors are in pb; errors are absolute, converted to relative below - '100' : { - 'value' : str ( 5325.95 * 1.0e-3 * 2 ), - 'error' : str ( 191.047 * 1.0e-3 * math.sqrt(2) ), - }, - '200' : { - 'value' : str ( 424.166 * 1.0e-3 * 2 ), - 'error' : str ( 20.1252 * 1.0e-3 * math.sqrt(2) ), - }, - '300' : { - 'value' : str ( 90.8167 * 1.0e-3 * 2 ), - 'error' : str ( 5.48175 * 1.0e-3 * math.sqrt(2) ), - }, - '400' : { - 'value' : str ( 28.423 * 1.0e-3 * 2 ), - 'error' : str ( 2.08121 * 1.0e-3 * math.sqrt(2) ), - }, - '500' : { - 'value' : str ( 10.8865 * 1.0e-3 * 2 ), - 'error' : str ( 0.923598 * 1.0e-3 * math.sqrt(2) ), - }, - '600' : { - 'value' : str ( 4.73741 * 1.0e-3 * 2 ), - 'error' : str ( 0.454855 * 1.0e-3 * math.sqrt(2) ), - }, - '700' : { - 'value' : str ( 2.23385 * 1.0e-3 * 2 ), - 'error' : str ( 0.233891 * 1.0e-3 * math.sqrt(2) ), - }, - '800' : { - 'value' : str ( 1.12392 * 1.0e-3 * 2 ), - 'error' : str ( 0.130506 * 1.0e-3 * math.sqrt(2) ), - }, - '900' : { - 'value' : str ( 0.58695 * 1.0e-3 * 2 ), - 'error' : str ( 0.0707011 * 1.0e-3 * math.sqrt(2) ), - }, -} - -# https://twiki.cern.ch/twiki/bin/view/LHCPhysics/SUSYCrossSections13TeVx1x1hino -higgsino_c1c1 = { - # values and errors are in pb; errors are absolute, converted to relative below - '100' : { - 'value' : str ( 2883.67 * 1.0e-3 ), - 'error' : str ( 126.968 * 1.0e-3 ), - }, - '200' : { - 'value' : str ( 244.321 * 1.0e-3 ), - 'error' : str ( 13.8982 * 1.0e-3 ), - }, - '300' : { - 'value' : str ( 52.569 * 1.0e-3 ), - 'error' : str ( 3.5507 * 1.0e-3 ), - }, - '400' : { - 'value' : str ( 16.3405 * 1.0e-3 ), - 'error' : str ( 1.26734 * 1.0e-3 ), - }, - '500' : { - 'value' : str ( 6.21625 * 1.0e-3 ), - 'error' : str ( 0.543279 * 1.0e-3 ), - }, - '600' : { - 'value' : str ( 2.68388 * 1.0e-3 ), - 'error' : str ( 0.255607 * 1.0e-3 ), - }, - '700' : { - 'value' : str ( 1.25981 * 1.0e-3 ), - 'error' : str ( 0.13226 * 1.0e-3 ), - }, - '800' : { - 'value' : str ( 0.630966 * 1.0e-3 ), - 'error' : str ( 0.0708789 * 1.0e-3 ), - }, - '900' : { - 'value' : str ( 0.328529 * 1.0e-3 ), - 'error' : str ( 0.0403214 * 1.0e-3 ), - }, -} - -signal_cross_sections_higgsino = {} - -for mass in higgsino_n2c1: - cn = Measurement (higgsino_n2c1[mass]['value'], higgsino_n2c1[mass]['error']) - cc = Measurement (higgsino_c1c1[mass]['value'], higgsino_c1c1[mass]['error']) - - total = cn + cc - - # convert errors from absolute to relative - higgsino_n2c1[mass]['error'] = str (1.0 + (cn.uncertainty () / cn.centralValue ())) - higgsino_c1c1[mass]['error'] = str (1.0 + (cc.uncertainty () / cc.centralValue ())) - signal_cross_sections_higgsino[mass] = { - 'value' : str (total.centralValue ()), - 'error' : str (1.0 + (total.uncertainty () / total.centralValue ())), - } diff --git a/SignalMC/scripts/printCrossSectionTable.py b/SignalMC/scripts/printCrossSectionTable.py index 6c8edeacb..1e885b633 100755 --- a/SignalMC/scripts/printCrossSectionTable.py +++ b/SignalMC/scripts/printCrossSectionTable.py @@ -1,7 +1,11 @@ #!/usr/bin/env python3 +import os from OSUT3Analysis.Configuration.Measurement import Measurement -from DisappTrks.SignalMC.signalCrossSecs import * +if not (os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_")): + exec("from DisappTrks.SignalMC.signalCrossSecs import *") +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + exec("from DisappTrks.SignalMC.signalCrossSecs13p6TeV import *") print "\\begin{tabular}{llll}" print " \\hline" diff --git a/SignalSystematics/data/systematic_values__electronVetoScaleFactor_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__electronVetoScaleFactor_2022_NLayers4.txt new file mode 100644 index 000000000..f8a21bb4a --- /dev/null +++ b/SignalSystematics/data/systematic_values__electronVetoScaleFactor_2022_NLayers4.txt @@ -0,0 +1,540 @@ +AMSB_chargino_100GeV_0p2cm_130X 0.912587840661 1.0 +AMSB_chargino_100GeV_0p3cm_130X 0.910862153571 1.0 +AMSB_chargino_100GeV_0p4cm_130X 0.910495209298 1.0 +AMSB_chargino_100GeV_0p5cm_130X 0.910597964587 1.0 +AMSB_chargino_100GeV_0p6cm_130X 0.911011563428 1.0 +AMSB_chargino_100GeV_0p7cm_130X 0.911679562575 1.0 +AMSB_chargino_100GeV_0p8cm_130X 0.91255551363 1.0 +AMSB_chargino_100GeV_0p9cm_130X 0.913591199191 1.0 +AMSB_chargino_100GeV_1cm_130X 0.914739351133 1.0 +AMSB_chargino_100GeV_2cm_130X 0.925976956604 1.0 +AMSB_chargino_100GeV_3cm_130X 0.93142969811 1.0 +AMSB_chargino_100GeV_4cm_130X 0.933106000439 1.0 +AMSB_chargino_100GeV_5cm_130X 0.933368512277 1.0 +AMSB_chargino_100GeV_6cm_130X 0.933181041933 1.0 +AMSB_chargino_100GeV_7cm_130X 0.932873100011 1.0 +AMSB_chargino_100GeV_8cm_130X 0.932554401768 1.0 +AMSB_chargino_100GeV_9cm_130X 0.932260514344 1.0 +AMSB_chargino_100GeV_10cm_130X 0.932001149942 1.0 +AMSB_chargino_100GeV_20cm_130X 1.0 1.0514343441 +AMSB_chargino_100GeV_30cm_130X 1.0 1.04570490792 +AMSB_chargino_100GeV_40cm_130X 1.0 1.0268256845 +AMSB_chargino_100GeV_50cm_130X 1.0 1.00976684552 +AMSB_chargino_100GeV_60cm_130X 0.996322436958 1.0 +AMSB_chargino_100GeV_70cm_130X 0.985959088621 1.0 +AMSB_chargino_100GeV_80cm_130X 0.977926087061 1.0 +AMSB_chargino_100GeV_90cm_130X 0.971612489232 1.0 +AMSB_chargino_100GeV_100cm_130X 0.966568952466 1.0 +AMSB_chargino_100GeV_200cm_130X 0.901694390773 1.0 +AMSB_chargino_100GeV_300cm_130X 0.901797146908 1.0 +AMSB_chargino_100GeV_400cm_130X 0.902108235998 1.0 +AMSB_chargino_100GeV_500cm_130X 0.902533655224 1.0 +AMSB_chargino_100GeV_600cm_130X 0.902939652171 1.0 +AMSB_chargino_100GeV_700cm_130X 0.903271280571 1.0 +AMSB_chargino_100GeV_800cm_130X 0.903526022676 1.0 +AMSB_chargino_100GeV_900cm_130X 0.903717757733 1.0 +AMSB_chargino_100GeV_1000cm_130X 0.903861529411 1.0 +AMSB_chargino_100GeV_2000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_3000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_4000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_5000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_6000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_7000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_8000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_9000cm_130X 0.916787837414 1.0 +AMSB_chargino_100GeV_10000cm_130X 0.916787837414 1.0 +AMSB_chargino_200GeV_0p2cm_130X 0.995100413111 1.0 +AMSB_chargino_200GeV_0p3cm_130X 0.910577677134 1.0 +AMSB_chargino_200GeV_0p4cm_130X 0.910454309895 1.0 +AMSB_chargino_200GeV_0p5cm_130X 0.910339727232 1.0 +AMSB_chargino_200GeV_0p6cm_130X 0.910270616874 1.0 +AMSB_chargino_200GeV_0p7cm_130X 0.910247425347 1.0 +AMSB_chargino_200GeV_0p8cm_130X 0.910266206026 1.0 +AMSB_chargino_200GeV_0p9cm_130X 0.910322597489 1.0 +AMSB_chargino_200GeV_1cm_130X 0.910411763899 1.0 +AMSB_chargino_200GeV_2cm_130X 0.91194250927 1.0 +AMSB_chargino_200GeV_3cm_130X 0.912889430236 1.0 +AMSB_chargino_200GeV_4cm_130X 0.91324428086 1.0 +AMSB_chargino_200GeV_5cm_130X 0.913367922117 1.0 +AMSB_chargino_200GeV_6cm_130X 0.913407785491 1.0 +AMSB_chargino_200GeV_7cm_130X 0.913416698268 1.0 +AMSB_chargino_200GeV_8cm_130X 0.913414106013 1.0 +AMSB_chargino_200GeV_9cm_130X 0.913407360097 1.0 +AMSB_chargino_200GeV_10cm_130X 0.913399234871 1.0 +AMSB_chargino_200GeV_20cm_130X 0.930711776242 1.0 +AMSB_chargino_200GeV_30cm_130X 0.93181757063 1.0 +AMSB_chargino_200GeV_40cm_130X 0.932427552988 1.0 +AMSB_chargino_200GeV_50cm_130X 0.932807527123 1.0 +AMSB_chargino_200GeV_60cm_130X 0.933037726174 1.0 +AMSB_chargino_200GeV_70cm_130X 0.933156255934 1.0 +AMSB_chargino_200GeV_80cm_130X 0.933189685035 1.0 +AMSB_chargino_200GeV_90cm_130X 0.933160278357 1.0 +AMSB_chargino_200GeV_100cm_130X 0.933087162064 1.0 +AMSB_chargino_200GeV_200cm_130X 0.914324315078 1.0 +AMSB_chargino_200GeV_300cm_130X 0.914243149841 1.0 +AMSB_chargino_200GeV_400cm_130X 0.914291078788 1.0 +AMSB_chargino_200GeV_500cm_130X 0.914356828685 1.0 +AMSB_chargino_200GeV_600cm_130X 0.914415486699 1.0 +AMSB_chargino_200GeV_700cm_130X 0.914463560257 1.0 +AMSB_chargino_200GeV_800cm_130X 0.914502198183 1.0 +AMSB_chargino_200GeV_900cm_130X 0.914533234532 1.0 +AMSB_chargino_200GeV_1000cm_130X 0.914558300604 1.0 +AMSB_chargino_200GeV_2000cm_130X 0.914192458298 1.0 +AMSB_chargino_200GeV_3000cm_130X 0.913616988191 1.0 +AMSB_chargino_200GeV_4000cm_130X 0.913434110046 1.0 +AMSB_chargino_200GeV_5000cm_130X 0.91340876225 1.0 +AMSB_chargino_200GeV_6000cm_130X 0.913449834753 1.0 +AMSB_chargino_200GeV_7000cm_130X 0.91351947741 1.0 +AMSB_chargino_200GeV_8000cm_130X 0.913600549518 1.0 +AMSB_chargino_200GeV_9000cm_130X 0.913684816639 1.0 +AMSB_chargino_200GeV_10000cm_130X 0.913768206399 1.0 +AMSB_chargino_300GeV_0p2cm_130X 1.0 1.01278035502 +AMSB_chargino_300GeV_0p3cm_130X 1.0 1.01068607336 +AMSB_chargino_300GeV_0p4cm_130X 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a/SignalSystematics/data/systematic_values__electronVetoScaleFactor_2022_NLayers6plus.txt b/SignalSystematics/data/systematic_values__electronVetoScaleFactor_2022_NLayers6plus.txt new file mode 100644 index 000000000..5a67687da --- /dev/null +++ b/SignalSystematics/data/systematic_values__electronVetoScaleFactor_2022_NLayers6plus.txt @@ -0,0 +1,541 @@ +AMSB_chargino_100GeV_0p2cm_130X 0.995913912152 1.0 +AMSB_chargino_100GeV_0p3cm_130X 0.99596397016 1.0 +AMSB_chargino_100GeV_0p4cm_130X 0.964909358588 1.0 +AMSB_chargino_100GeV_0p5cm_130X 0.964992611894 1.0 +AMSB_chargino_100GeV_0p6cm_130X 0.965086707388 1.0 +AMSB_chargino_100GeV_0p7cm_130X 0.965190598215 1.0 +AMSB_chargino_100GeV_0p8cm_130X 0.965304269718 1.0 +AMSB_chargino_100GeV_0p9cm_130X 0.965428144323 1.0 +AMSB_chargino_100GeV_1cm_130X 0.965562728731 1.0 +AMSB_chargino_100GeV_2cm_130X 0.967357953262 1.0 +AMSB_chargino_100GeV_3cm_130X 0.96869743403 1.0 +AMSB_chargino_100GeV_4cm_130X 0.969085280607 1.0 +AMSB_chargino_100GeV_5cm_130X 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a/SignalSystematics/data/systematic_values__higgsino_electronVetoScaleFactor_2022_NLayers5.txt b/SignalSystematics/data/systematic_values__higgsino_electronVetoScaleFactor_2022_NLayers5.txt new file mode 100644 index 000000000..9fc7c5f23 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_electronVetoScaleFactor_2022_NLayers5.txt @@ -0,0 +1,450 @@ +Higgsino_100GeV_0p2cm_130X 0.996995786868 1.0 +Higgsino_100GeV_0p3cm_130X 0.904345620107 1.0 +Higgsino_100GeV_0p4cm_130X 0.904415749172 1.0 +Higgsino_100GeV_0p5cm_130X 0.904461307256 1.0 +Higgsino_100GeV_0p6cm_130X 0.904575011518 1.0 +Higgsino_100GeV_0p7cm_130X 0.904926490947 1.0 +Higgsino_100GeV_0p8cm_130X 0.905672523815 1.0 +Higgsino_100GeV_0p9cm_130X 0.906894268554 1.0 +Higgsino_100GeV_1cm_130X 0.908594337527 1.0 +Higgsino_100GeV_2cm_130X 0.938359607781 1.0 +Higgsino_100GeV_3cm_130X 0.965041067554 1.0 +Higgsino_100GeV_4cm_130X 0.978334487118 1.0 +Higgsino_100GeV_5cm_130X 0.980851607348 1.0 +Higgsino_100GeV_6cm_130X 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1.13658086515 +Higgsino_800GeV_70cm_102X 0.869490534047 1.13658086515 +Higgsino_800GeV_80cm_102X 0.869490534047 1.13658086515 +Higgsino_800GeV_90cm_102X 0.869490534047 1.13658086515 +Higgsino_800GeV_100cm_102X 0.869490534047 1.13658086515 +Higgsino_800GeV_200cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_300cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_400cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_500cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_600cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_700cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_800cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_900cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_1000cm_102X 0.871338539211 1.13464185367 +Higgsino_800GeV_2000cm_102X 0.862380564845 1.14422421988 +Higgsino_800GeV_3000cm_102X 0.862380564845 1.14422421988 +Higgsino_800GeV_4000cm_102X 0.862380564845 1.14422421988 +Higgsino_800GeV_5000cm_102X 0.862380564845 1.14422421988 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1.14153604143 +Higgsino_900GeV_700cm_102X 0.864885060018 1.14153604143 +Higgsino_900GeV_800cm_102X 0.864885060018 1.14153604143 +Higgsino_900GeV_900cm_102X 0.864885060018 1.14153604143 +Higgsino_900GeV_1000cm_102X 0.864885060018 1.14153604143 +Higgsino_900GeV_2000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_3000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_4000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_5000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_6000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_7000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_8000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_9000cm_102X 0.884623805009 1.12051566498 +Higgsino_900GeV_10000cm_102X 0.884623805009 1.12051566498 diff --git a/SignalSystematics/data/systematic_values__higgsino_isr_2022_NLayers5.txt b/SignalSystematics/data/systematic_values__higgsino_isr_2022_NLayers5.txt new file mode 100644 index 000000000..d18fb48db --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_isr_2022_NLayers5.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_3cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_4cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_5cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_6cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_7cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_8cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_9cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p2cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p3cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p4cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p5cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p6cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p7cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p8cm_102X 0.897370747777 1.10696367005 +Higgsino_100GeV_0p9cm_102X 0.897370747777 1.10696367005 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1.04792183221 1.00338367523 +Higgsino_900GeV_5000cm_102X 1.04792183221 1.00338367523 +Higgsino_900GeV_6000cm_102X 1.04792183221 1.00338367523 +Higgsino_900GeV_7000cm_102X 1.04792183221 1.00338367523 +Higgsino_900GeV_8000cm_102X 1.04792183221 1.00338367523 +Higgsino_900GeV_9000cm_102X 1.04792183221 1.00338367523 +Higgsino_900GeV_10000cm_102X 1.04792183221 1.00338367523 diff --git a/SignalSystematics/data/systematic_values__higgsino_jer_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__higgsino_jer_2022_NLayers4.txt new file mode 100644 index 000000000..ef9dd9162 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_jer_2022_NLayers4.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 0.985011986705 1.0 +Higgsino_100GeV_3cm_102X 0.985011986705 1.0 +Higgsino_100GeV_4cm_102X 0.985011986705 1.0 +Higgsino_100GeV_5cm_102X 0.985011986705 1.0 +Higgsino_100GeV_6cm_102X 0.985011986705 1.0 +Higgsino_100GeV_7cm_102X 0.985011986705 1.0 +Higgsino_100GeV_8cm_102X 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b/SignalSystematics/data/systematic_values__higgsino_metVaryJetRes_2022_NLayers4.txt new file mode 100644 index 000000000..c0225739c --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_metVaryJetRes_2022_NLayers4.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 1.0 1.0 +Higgsino_100GeV_3cm_102X 1.0 1.0 +Higgsino_100GeV_4cm_102X 1.0 1.0 +Higgsino_100GeV_5cm_102X 1.0 1.0 +Higgsino_100GeV_6cm_102X 1.0 1.0 +Higgsino_100GeV_7cm_102X 1.0 1.0 +Higgsino_100GeV_8cm_102X 1.0 1.0 +Higgsino_100GeV_9cm_102X 1.0 1.0 +Higgsino_100GeV_0p2cm_102X 1.0 1.0 +Higgsino_100GeV_0p3cm_102X 1.0 1.0 +Higgsino_100GeV_0p4cm_102X 1.0 1.0 +Higgsino_100GeV_0p5cm_102X 1.0 1.0 +Higgsino_100GeV_0p6cm_102X 1.0 1.0 +Higgsino_100GeV_0p7cm_102X 1.0 1.0 +Higgsino_100GeV_0p8cm_102X 1.0 1.0 +Higgsino_100GeV_0p9cm_102X 1.0 1.0 +Higgsino_100GeV_10cm_102X 1.0 1.0 +Higgsino_100GeV_20cm_102X 1.0 1.0 +Higgsino_100GeV_30cm_102X 1.0 1.0 +Higgsino_100GeV_40cm_102X 1.0 1.0 +Higgsino_100GeV_50cm_102X 1.0 1.0 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a/SignalSystematics/data/systematic_values__higgsino_metVaryJetRes_2022_NLayers6plus.txt b/SignalSystematics/data/systematic_values__higgsino_metVaryJetRes_2022_NLayers6plus.txt new file mode 100644 index 000000000..e32f1a657 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_metVaryJetRes_2022_NLayers6plus.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_3cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_4cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_5cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_6cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_7cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_8cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_9cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_0p2cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_0p3cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_0p4cm_102X 0.998107874962 0.992728622904 +Higgsino_100GeV_0p5cm_102X 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a/SignalSystematics/data/systematic_values__higgsino_metVaryPhotonEn_2022_NLayers6plus.txt b/SignalSystematics/data/systematic_values__higgsino_metVaryPhotonEn_2022_NLayers6plus.txt new file mode 100644 index 000000000..588854435 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_metVaryPhotonEn_2022_NLayers6plus.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 1.0 1.0 +Higgsino_100GeV_3cm_102X 1.0 1.0 +Higgsino_100GeV_4cm_102X 1.0 1.0 +Higgsino_100GeV_5cm_102X 1.0 1.0 +Higgsino_100GeV_6cm_102X 1.0 1.0 +Higgsino_100GeV_7cm_102X 1.0 1.0 +Higgsino_100GeV_8cm_102X 1.0 1.0 +Higgsino_100GeV_9cm_102X 1.0 1.0 +Higgsino_100GeV_0p2cm_102X 1.0 1.0 +Higgsino_100GeV_0p3cm_102X 1.0 1.0 +Higgsino_100GeV_0p4cm_102X 1.0 1.0 +Higgsino_100GeV_0p5cm_102X 1.0 1.0 +Higgsino_100GeV_0p6cm_102X 1.0 1.0 +Higgsino_100GeV_0p7cm_102X 1.0 1.0 +Higgsino_100GeV_0p8cm_102X 1.0 1.0 +Higgsino_100GeV_0p9cm_102X 1.0 1.0 +Higgsino_100GeV_10cm_102X 1.0 1.0 +Higgsino_100GeV_20cm_102X 1.00551911326 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b/SignalSystematics/data/systematic_values__higgsino_metVaryTauEn_2022_NLayers4.txt new file mode 100644 index 000000000..247955d88 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_metVaryTauEn_2022_NLayers4.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 1.0 1.0 +Higgsino_100GeV_3cm_102X 1.0 1.0 +Higgsino_100GeV_4cm_102X 1.0 1.0 +Higgsino_100GeV_5cm_102X 1.0 1.0 +Higgsino_100GeV_6cm_102X 1.0 1.0 +Higgsino_100GeV_7cm_102X 1.0 1.0 +Higgsino_100GeV_8cm_102X 1.0 1.0 +Higgsino_100GeV_9cm_102X 1.0 1.0 +Higgsino_100GeV_0p2cm_102X 1.0 1.0 +Higgsino_100GeV_0p3cm_102X 1.0 1.0 +Higgsino_100GeV_0p4cm_102X 1.0 1.0 +Higgsino_100GeV_0p5cm_102X 1.0 1.0 +Higgsino_100GeV_0p6cm_102X 1.0 1.0 +Higgsino_100GeV_0p7cm_102X 1.0 1.0 +Higgsino_100GeV_0p8cm_102X 1.0 1.0 +Higgsino_100GeV_0p9cm_102X 1.0 1.0 +Higgsino_100GeV_10cm_102X 1.0 1.0 +Higgsino_100GeV_20cm_102X 1.0 1.0 +Higgsino_100GeV_30cm_102X 1.0 1.0 +Higgsino_100GeV_40cm_102X 1.0 1.0 +Higgsino_100GeV_50cm_102X 1.0 1.0 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b/SignalSystematics/data/systematic_values__higgsino_pileup_2022_NLayers4.txt new file mode 100644 index 000000000..4d609a322 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_pileup_2022_NLayers4.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_3cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_4cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_5cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_6cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_7cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_8cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_9cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_0p2cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_0p3cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_0p4cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_0p5cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_0p6cm_102X 1.04739832015 0.951455815587 +Higgsino_100GeV_0p7cm_102X 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1.00993788127 0.98786565173 +Higgsino_900GeV_90cm_102X 1.00993788127 0.98786565173 +Higgsino_900GeV_100cm_102X 1.00993788127 0.98786565173 +Higgsino_900GeV_200cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_300cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_400cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_500cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_600cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_700cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_800cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_900cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_1000cm_102X 1.00439696686 0.991374123664 +Higgsino_900GeV_2000cm_102X 1.05783155185 0.938198067321 +Higgsino_900GeV_3000cm_102X 1.05783155185 0.938198067321 +Higgsino_900GeV_4000cm_102X 1.05783155185 0.938198067321 +Higgsino_900GeV_5000cm_102X 1.05783155185 0.938198067321 +Higgsino_900GeV_6000cm_102X 1.05783155185 0.938198067321 +Higgsino_900GeV_7000cm_102X 1.05783155185 0.938198067321 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a/SignalSystematics/data/systematic_values__higgsino_triggerTurnOn_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__higgsino_triggerTurnOn_2022_NLayers4.txt new file mode 100644 index 000000000..94ce4fcf6 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_triggerTurnOn_2022_NLayers4.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 0.995509536329 1.0 +Higgsino_100GeV_3cm_102X 0.995509536329 1.0 +Higgsino_100GeV_4cm_102X 0.995509536329 1.0 +Higgsino_100GeV_5cm_102X 0.995509536329 1.0 +Higgsino_100GeV_6cm_102X 0.995509536329 1.0 +Higgsino_100GeV_7cm_102X 0.995509536329 1.0 +Higgsino_100GeV_8cm_102X 0.995509536329 1.0 +Higgsino_100GeV_9cm_102X 0.995509536329 1.0 +Higgsino_100GeV_0p2cm_102X 0.995509536329 1.0 +Higgsino_100GeV_0p3cm_102X 0.995509536329 1.0 +Higgsino_100GeV_0p4cm_102X 0.995509536329 1.0 +Higgsino_100GeV_0p5cm_102X 0.995509536329 1.0 +Higgsino_100GeV_0p6cm_102X 0.995509536329 1.0 +Higgsino_100GeV_0p7cm_102X 0.995509536329 1.0 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+Higgsino_900GeV_10000cm_102X 0.999203021611 1.00079697839 diff --git a/SignalSystematics/data/systematic_values__higgsino_trigger_grandOrWeightData_2022_NLayers6plus.txt b/SignalSystematics/data/systematic_values__higgsino_trigger_grandOrWeightData_2022_NLayers6plus.txt new file mode 100644 index 000000000..6439b6b08 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_trigger_grandOrWeightData_2022_NLayers6plus.txt @@ -0,0 +1,396 @@ +Higgsino_100GeV_2cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_3cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_4cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_5cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_6cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_7cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_8cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_9cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_0p2cm_102X 0.999119290984 1.00088070902 +Higgsino_100GeV_0p3cm_102X 0.999119290984 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a/SignalSystematics/data/systematic_values__higgsino_trigger_grandOrWeightMC_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__higgsino_trigger_grandOrWeightMC_2022_NLayers4.txt new file mode 100644 index 000000000..303a7eb67 --- /dev/null +++ b/SignalSystematics/data/systematic_values__higgsino_trigger_grandOrWeightMC_2022_NLayers4.txt @@ -0,0 +1,792 @@ +Higgsino_100GeV_2cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_3cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_4cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_5cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_6cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_7cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_8cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_9cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_0p2cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_0p3cm_102X 0.999138040887 1.00086195911 +Higgsino_100GeV_0p4cm_102X 0.999138040887 1.00086195911 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b/SignalSystematics/data/systematic_values__isr_2022_NLayers4.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_1cm_130X 0.857882022588 1.14938314769 +AMSB_chargino_100GeV_0p2cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p3cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p4cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p5cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p6cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p7cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p8cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_0p9cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_2cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_3cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_4cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_5cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_6cm_130X 0.882925463792 1.12251642392 +AMSB_chargino_100GeV_7cm_130X 0.882925463792 1.12251642392 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b/SignalSystematics/data/systematic_values__isr_2022_NLayers5.txt new file mode 100644 index 000000000..f08fc881d --- /dev/null +++ b/SignalSystematics/data/systematic_values__isr_2022_NLayers5.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_1cm_130X 0.853720861299 1.15390896087 +AMSB_chargino_100GeV_0p2cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p3cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p4cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p5cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p6cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p7cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p8cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_0p9cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_2cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_3cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_4cm_130X 0.886410494948 1.11876383358 +AMSB_chargino_100GeV_5cm_130X 0.886410494948 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1.1100568218 diff --git a/SignalSystematics/data/systematic_values__isr_2022_NLayers6plus.txt b/SignalSystematics/data/systematic_values__isr_2022_NLayers6plus.txt new file mode 100644 index 000000000..13b807469 --- /dev/null +++ b/SignalSystematics/data/systematic_values__isr_2022_NLayers6plus.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_1cm_130X 0.884243405146 1.12188622437 +AMSB_chargino_100GeV_0p2cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p3cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p4cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p5cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p6cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p7cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p8cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_0p9cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_2cm_130X 0.884518144077 1.12064730693 +AMSB_chargino_100GeV_3cm_130X 0.884518144077 1.12064730693 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a/SignalSystematics/data/systematic_values__metVaryElectronEn_2022_NLayers5.txt b/SignalSystematics/data/systematic_values__metVaryElectronEn_2022_NLayers5.txt new file mode 100644 index 000000000..e41e0241a --- /dev/null +++ b/SignalSystematics/data/systematic_values__metVaryElectronEn_2022_NLayers5.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_0p2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p9cm_130X 1.0 1.0 +AMSB_chargino_100GeV_1cm_130X 1.0 1.0 +AMSB_chargino_100GeV_2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_9cm_130X 1.0 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a/SignalSystematics/data/systematic_values__metVaryElectronEn_2022_NLayers6plus.txt b/SignalSystematics/data/systematic_values__metVaryElectronEn_2022_NLayers6plus.txt new file mode 100644 index 000000000..db19d247a --- /dev/null +++ b/SignalSystematics/data/systematic_values__metVaryElectronEn_2022_NLayers6plus.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_0p2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p9cm_130X 1.0 1.0 +AMSB_chargino_100GeV_1cm_130X 1.0 1.0 +AMSB_chargino_100GeV_2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_8cm_130X 1.0 1.0 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a/SignalSystematics/data/systematic_values__metVaryJetEn_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__metVaryJetEn_2022_NLayers4.txt new file mode 100644 index 000000000..8e103b6e4 --- /dev/null +++ b/SignalSystematics/data/systematic_values__metVaryJetEn_2022_NLayers4.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_0p2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p9cm_130X 1.0 1.0 +AMSB_chargino_100GeV_1cm_130X 1.0 1.0 +AMSB_chargino_100GeV_2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_9cm_130X 1.0 1.0 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a/SignalSystematics/data/systematic_values__metVaryTauEn_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__metVaryTauEn_2022_NLayers4.txt new file mode 100644 index 000000000..103691421 --- /dev/null +++ b/SignalSystematics/data/systematic_values__metVaryTauEn_2022_NLayers4.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_0p2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_0p9cm_130X 1.0 1.0 +AMSB_chargino_100GeV_1cm_130X 1.0 1.0 +AMSB_chargino_100GeV_2cm_130X 1.0 1.0 +AMSB_chargino_100GeV_3cm_130X 1.0 1.0 +AMSB_chargino_100GeV_4cm_130X 1.0 1.0 +AMSB_chargino_100GeV_5cm_130X 1.0 1.0 +AMSB_chargino_100GeV_6cm_130X 1.0 1.0 +AMSB_chargino_100GeV_7cm_130X 1.0 1.0 +AMSB_chargino_100GeV_8cm_130X 1.0 1.0 +AMSB_chargino_100GeV_9cm_130X 1.0 1.0 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b/SignalSystematics/data/systematic_values__pileup_2022_NLayers6plus.txt new file mode 100644 index 000000000..b7026d8a0 --- /dev/null +++ b/SignalSystematics/data/systematic_values__pileup_2022_NLayers6plus.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_0p2cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p3cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p4cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p5cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p6cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p7cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p8cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_0p9cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_1cm_130X 1.05705336062 0.946080670407 +AMSB_chargino_100GeV_2cm_130X 1.01316424862 0.983472111218 +AMSB_chargino_100GeV_3cm_130X 1.01316424862 0.983472111218 +AMSB_chargino_100GeV_4cm_130X 1.01316424862 0.983472111218 +AMSB_chargino_100GeV_5cm_130X 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a/SignalSystematics/data/systematic_values__trigger_grandOrWeightData_2022_NLayers4.txt b/SignalSystematics/data/systematic_values__trigger_grandOrWeightData_2022_NLayers4.txt new file mode 100644 index 000000000..f37bdc257 --- /dev/null +++ b/SignalSystematics/data/systematic_values__trigger_grandOrWeightData_2022_NLayers4.txt @@ -0,0 +1,495 @@ +AMSB_chargino_100GeV_0p2cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p3cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p4cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p5cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p6cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p7cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p8cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_0p9cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_1cm_130X 0.99953785426 1.00046214574 +AMSB_chargino_100GeV_2cm_130X 0.999177291126 1.00082270887 +AMSB_chargino_100GeV_3cm_130X 0.999177291126 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b/SignalSystematics/data/systematic_values__trigger_grandOrWeightMC_2022_NLayers6plus.txt new file mode 100644 index 000000000..2c69ea03d --- /dev/null +++ b/SignalSystematics/data/systematic_values__trigger_grandOrWeightMC_2022_NLayers6plus.txt @@ -0,0 +1,990 @@ +AMSB_chargino_100GeV_0p2cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p3cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p4cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p5cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p6cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p7cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p8cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_0p9cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_1cm_130X 0.999549969478 1.00045003052 +AMSB_chargino_100GeV_2cm_130X 0.999062033458 1.00093796654 +AMSB_chargino_100GeV_3cm_130X 0.999062033458 1.00093796654 +AMSB_chargino_100GeV_4cm_130X 0.999062033458 1.00093796654 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1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_5cm_130X 1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_6cm_130X 1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_7cm_130X 1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_8cm_130X 1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_9cm_130X 1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_10cm_130X 1.0038014149 0.996296440848 +AMSB_chargino_1000GeV_20cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_30cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_40cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_50cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_60cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_70cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_80cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_90cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_100cm_130X 1.00304959928 0.996990932189 +AMSB_chargino_1000GeV_200cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_300cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_400cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_500cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_600cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_700cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_800cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_900cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_1000cm_130X 1.00294468205 0.99709857885 +AMSB_chargino_1000GeV_2000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_3000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_4000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_5000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_6000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_7000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_8000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_9000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1000GeV_10000cm_130X 1.00339463678 0.996657051857 +AMSB_chargino_1100GeV_0p2cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p3cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p4cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p5cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p6cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p7cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p8cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_0p9cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_1cm_130X 1.0002331566 0.999768934183 +AMSB_chargino_1100GeV_2cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_3cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_4cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_5cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_6cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_7cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_8cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_9cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_10cm_130X 1.00265440339 0.997389612249 +AMSB_chargino_1100GeV_20cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_30cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_40cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_50cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_60cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_70cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_80cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_90cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_100cm_130X 1.00315355054 0.996251382968 +AMSB_chargino_1100GeV_200cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_300cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_400cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_500cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_600cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_700cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_800cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_900cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_1000cm_130X 1.00315355054 0.996891136637 +AMSB_chargino_1100GeV_2000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_3000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_4000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_5000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_6000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_7000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_8000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_9000cm_130X 1.0031501808 0.996891425618 +AMSB_chargino_1100GeV_10000cm_130X 1.0031501808 0.996891425618 diff --git a/SignalSystematics/python/signalSystematics.py b/SignalSystematics/python/signalSystematics.py index e790c8c88..dbbdbbbee 100755 --- a/SignalSystematics/python/signalSystematics.py +++ b/SignalSystematics/python/signalSystematics.py @@ -12,7 +12,10 @@ from OSUT3Analysis.Configuration.Measurement import Measurement from DisappTrks.StandardAnalysis.plotUtilities import * -from DisappTrks.SignalMC.signalCrossSecs import signal_cross_sections, signal_cross_sections_higgsino +if not (os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_")): + exec("from DisappTrks.SignalMC.signalCrossSecs import *") +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + exec("from DisappTrks.SignalMC.signalCrossSecs13p6TeV import *") setTDRStyle() diff --git a/SignalSystematics/scripts/GetDataPileupDistributionsRun3.sh b/SignalSystematics/scripts/GetDataPileupDistributionsRun3.sh new file mode 100755 index 000000000..54072f5c8 --- /dev/null +++ b/SignalSystematics/scripts/GetDataPileupDistributionsRun3.sh @@ -0,0 +1,60 @@ +#!/bin/bash + +# https://twiki.cern.ch/twiki/bin/view/CMS/PileupJSONFileforData + +######################################################## +# Define JSONs and min-bias xsecs and number of bins +######################################################## + +json22=Cert_Collisions2022_355100_362760_Golden.json +minBias22=69200 +minBiasUncertainty22=0.046 + +json23=Cert_Collisions2023_366442_370790_Golden.json +minBias23=69200 +minBiasUncertainty23=0.046 + +nBinsX=100 + +######################################################## +# Set up and get JSONs +######################################################## + +minBias22Up=`echo "print($minBias22 * (1 + $minBiasUncertainty22))" | python3` +minBias22Down=`echo "print($minBias22 * (1 - $minBiasUncertainty22))" | python3` + +minBias23Up=`echo "print($minBias23 * (1 + $minBiasUncertainty23))" | python3` +minBias23Down=`echo "print($minBias23 * (1 - $minBiasUncertainty23))" | python3` + +source /cvmfs/cms.cern.ch/cmsset_default.sh +eval `scram runtime -sh` + +curl https://cms-service-dqmdc.web.cern.ch/CAF/certification/Collisions22/PileUp/BCDEFG/pileup_JSON.txt > pileup_2022.txt +curl https://cms-service-dqmdc.web.cern.ch/CAF/certification/Collisions23/PileUp/BCD/pileup_JSON.txt > pileup_2023.txt + +wget https://cms-service-dqmdc.web.cern.ch/CAF/certification/Collisions22/$json22 +wget https://cms-service-dqmdc.web.cern.ch/CAF/certification/Collisions23/$json23 + +######################################################## +# Get data distributions using JSONs as masks +######################################################## + +pileupCalc.py -i $json22 --inputLumiJSON pileup_2022.txt --calcMode true --minBiasXsec $minBias22 --maxPileupBin $nBinsX --numPileupBins $nBinsX puData_2022_central.root +pileupCalc.py -i $json22 --inputLumiJSON pileup_2022.txt --calcMode true --minBiasXsec $minBias22Up --maxPileupBin $nBinsX --numPileupBins $nBinsX puData_2022_up.root +pileupCalc.py -i $json22 --inputLumiJSON pileup_2022.txt --calcMode true --minBiasXsec $minBias22Down --maxPileupBin $nBinsX --numPileupBins $nBinsX puData_2022_down.root + +pileupCalc.py -i $json23 --inputLumiJSON pileup_2023.txt --calcMode true --minBiasXsec $minBias23 --maxPileupBin $nBinsX --numPileupBins $nBinsX puData_2023_central.root +pileupCalc.py -i $json23 --inputLumiJSON pileup_2023.txt --calcMode true --minBiasXsec $minBias23Up --maxPileupBin $nBinsX --numPileupBins $nBinsX puData_2023_up.root +pileupCalc.py -i $json23 --inputLumiJSON pileup_2023.txt --calcMode true --minBiasXsec $minBias23Down --maxPileupBin $nBinsX --numPileupBins $nBinsX puData_2023_down.root + +######################################################## +# Combine ROOT files and clean up +######################################################## + +root -b -q -l combineDataFiles.C + +rm *.txt +rm puData_2022_*.root +rm puData_2023_*.root + +echo "Created combined file puData.root" diff --git a/SignalSystematics/scripts/combineDataFiles.C b/SignalSystematics/scripts/combineDataFiles.C index 7a1c461cd..f978fc7d0 100644 --- a/SignalSystematics/scripts/combineDataFiles.C +++ b/SignalSystematics/scripts/combineDataFiles.C @@ -1,22 +1,26 @@ -TString inputFiles[18] = {"puData_2015_central", "puData_2015_up", "puData_2015_down", +TString inputFiles[24] = {"puData_2015_central", "puData_2015_up", "puData_2015_down", "puData_2016_central", "puData_2016_up", "puData_2016_down", "puData_2016BC_central", "puData_2016BC_up", "puData_2016BC_down", "puData_2016DEFGH_central", "puData_2016DEFGH_up", "puData_2016DEFGH_down", "puData_2017_central", "puData_2017_up", "puData_2017_down", - "puData_2018_central", "puData_2018_up", "puData_2018_down"}; + "puData_2018_central", "puData_2018_up", "puData_2018_down", + "puData_2022_central", "puData_2022_up", "puData_2022_down", + "puData_2023_central", "puData_2023_up", "puData_2023_down"}; -TString histNames[18] = {"data2015", "data2015Up", "data2015Down", +TString histNames[24] = {"data2015", "data2015Up", "data2015Down", "data2016", "data2016Up", "data2016Down", "data2016_BC", "data2016_BCUp", "data2016_BCDown", "data2016_DEFGH", "data2016_DEFGHUp", "data2016_DEFGHDown", "data2017", "data2017Up", "data2017Down", - "data2018", "data2018Up", "data2018Down"}; + "data2018", "data2018Up", "data2018Down", + "data2022", "data2022Up", "data2022Down", + "data2023", "data2023Up", "data2023Down"}; void combineDataFiles() { TFile * output = new TFile("puData.root", "RECREATE"); - for(int i = 0; i < 18; i++) { + for(int i = 0; i < 24; i++) { TFile * input = new TFile(inputFiles[i] + ".root"); cout << "working on " << inputFiles[i] << ".root" << endl; diff --git a/SignalSystematics/test/config_2022_cfg.py b/SignalSystematics/test/config_2022_cfg.py index bd519662c..a62d3901c 100644 --- a/SignalSystematics/test/config_2022_cfg.py +++ b/SignalSystematics/test/config_2022_cfg.py @@ -1,11 +1,38 @@ from DisappTrks.SignalSystematics.config_cfg import * from DisappTrks.StandardAnalysis.customize import * +from FWCore.ParameterSet.VarParsing import VarParsing if not os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") and not os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("Please use a CMSSW_12_4_X or CMSSW_13_0_X release...") sys.exit (0) -process = customize (process, "2022", applyPUReweighting = True, applyTriggerReweighting = True, applyMissingHitsCorrections = True, runMETFilters = False) +options = VarParsing ('analysis') +options.register ('massForLifetimeReweighting', + 1000, + VarParsing.multiplicity.singleton, + VarParsing.varType.int, + "mass For LifetimeReweighting") +options.register ('lifetimeForLifetimeReweighting', + 1000, + VarParsing.multiplicity.singleton, + VarParsing.varType.int, + "lifetime For LifetimeReweighting") +options.parseArguments() + +process = customize (process, "2022", "F", realData=True, applyPUReweighting = True, applyISRReweighting = True, applyTriggerReweighting = True, applyMissingHitsCorrections = True, runMETFilters = False) + +if hasattr(process, 'LifetimeWeightProducer'): + if options.isCRAB: + exec('from OSUT3Analysis.Configuration.configurationOptions import *') + rules = [] + rules.extend(rulesForLifetimeReweighting['AMSB_chargino_' + str(options.massForLifetimeReweighting) + 'GeV_' + str(options.lifetimeForLifetimeReweighting) + 'cm_130X']) + process.LifetimeWeightProducer.reweightingRules = cms.VPSet([ + cms.PSet( + pdgIds = cms.vint32(r.pdgIds), + srcCTaus = cms.vdouble(r.srcCTaus), + dstCTaus = cms.vdouble(r.dstCTaus), + isDefaultRule = cms.bool(r.isDefaultRule) + ) for r in rules]) # When using these channels for calculating a new weight in MC, use the following customization instead: # ZtoMuMuISRStudy, ZtoMuMuISRStudyJet30 diff --git a/SignalSystematics/test/crab_SigSyst.py b/SignalSystematics/test/crab_SigSyst.py new file mode 100644 index 000000000..c3fa3c323 --- /dev/null +++ b/SignalSystematics/test/crab_SigSyst.py @@ -0,0 +1,35 @@ +#!/usr/bin/env python3 + +import os +from CRABClient.UserUtilities import config +config = config() + +config.General.requestName = '' +config.General.workArea = 'crab' +config.General.transferOutputs = True +config.General.transferLogs = True +config.General.requestName = 'DY_ZToMuMuISR' # this is the name of the crab folder; useful to keep track of what is happening + +config.JobType.pluginName = 'Analysis' +config.JobType.psetName = 'config_2022_cfg.py' +config.JobType.allowUndistributedCMSSW = True +# List of files that are in the repos, but are used for the selections +config.JobType.inputFiles = [os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/electronSFs.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/muonSFs.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/Fall15_25nsV2_MC_SF_AK4PFchs.txt', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/Fall15_25nsV2_MC_PtResolution_AK4PFchs.txt', os.environ['CMSSW_BASE']+'/src/DisappTrks/StandardAnalysis/data/Summer22EE_23Sep2023_RunEFG_v1.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/graph.pb', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/graph_oct25.pb'] + +# always use MINIAOD as inputDataset and AOD as secondaryInputDataset + +config.Data.inputDataset = '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/borzari-ZToMuMuISR-ce40d0a594f47a28c579da1a61d72f38/USER' + +config.Data.inputDBS = 'phys03' +config.Data.splitting = 'FileBased' +config.Data.unitsPerJob = 1 # leave this as one to avoid too much wall time and jobs failing + +config.JobType.maxMemoryMB = 4000 + +config.Data.publication = True +config.Data.outputDatasetTag = 'ZToMuMuISR' # this is just an example; it will be part of the name of the output dataset + +# Uncomment one of the following pairs + +config.Data.outLFNDirBase = '/store/user/borzari/' +config.Site.storageSite = 'T2_BR_SPRACE' diff --git a/SignalSystematics/test/crab_SignalYield.py b/SignalSystematics/test/crab_SignalYield.py new file mode 100644 index 000000000..1cebcc14c --- /dev/null +++ b/SignalSystematics/test/crab_SignalYield.py @@ -0,0 +1,89 @@ +#!/usr/bin/env python + +from CRABClient.UserUtilities import config +import os +config = config() + +config.General.requestName = '' +config.General.workArea = 'crab' +config.General.transferOutputs = True +config.General.transferLogs = True + +config.JobType.pluginName = 'Analysis' +config.JobType.psetName = 'config_2022_cfg.py' +config.JobType.allowUndistributedCMSSW = True +config.JobType.inputFiles = [os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/electronSFs.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/muonSFs.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/Fall15_25nsV2_MC_SF_AK4PFchs.txt', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/Fall15_25nsV2_MC_PtResolution_AK4PFchs.txt', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Configuration/data/Summer22EE_23Sep2023_RunEFG_v1.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/graph_oct25.pb', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/graph.pb', os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run3.root', os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run3.root', os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root'] +config.JobType.maxMemoryMB = 4000 + +config.Data.inputDataset = '' +config.Data.secondaryInputDataset = '' +config.Data.inputDBS = 'global' +config.Data.splitting = 'EventAwareLumiBased' +config.Data.unitsPerJob = 2000 +config.Data.publication = False + +config.Data.outLFNDirBase = '/store/user/borzari/' +config.Site.storageSite = 'T2_BR_SPRACE' + +if __name__ == '__main__': + + from CRABAPI.RawCommand import crabCommand + from CRABClient.ClientExceptions import ClientException + from http.client import HTTPException + from multiprocessing import Process + + def submit(config): + try: + crabCommand('submit', config = config) + except HTTPException as hte: + print("Failed submitting task: %s" % (hte.headers)) + except ClientException as cle: + print("Failed submitting task: %s" % (cle)) + + def forkAndSubmit(config): + p = Process(target=submit, args=(config,)) + p.start() + p.join() + + ############################################################################################# + ## From now on that's what users should modify: this is the a-la-CRAB2 configuration part. ## + ## This works fine for 2022EE campaign; it will need to be updated to 2022 and 2023/BPix. ## + ############################################################################################# + + # These need to be set True for the blocks below to work + reallySubmitEWK = False + reallySubmitHiggsinoEWK = False + + reallySubmitMass = { x : True for x in range(100, 2100, 100)} + reallySubmitLifetime = { x : True for x in [1, 10, 100, 1000, 10000]} + + if reallySubmitEWK: + for mass in range(100, 1300, 100): + # for mass in range(700, 800, 100): # for testing + for ctau in [10,100,1000,10000]: + # for ctau in [10]: # for testing; 10cm is good to check if the lifetime reweighting works from 0.1cm up to 9cm + config.Data.outputDatasetTag = 'AMSB_Wino%dGeV_ctau%dcm_2022EE' % (mass, ctau) + config.General.requestName = 'AMSB_Wino%dGeV_ctau%dcm_2022EE' % (mass, ctau) + config.Data.inputDataset = '/AMSB_Wino_M%dGeV_ctau%dcm_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EEMiniAODv4-130X_mcRun3_2022_realistic_postEE_v6-v2/MINIAODSIM' % (mass, ctau) + config.Data.secondaryInputDataset = '/AMSB_Wino_M%dGeV_ctau%dcm_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' % (mass, ctau) + if mass == 100 and ctau == 10: # AMSB_Wino_100GeV_10cm original dataset only has 10k events; ext was created to fix it and has ~50k events + config.Data.inputDataset = '/AMSB_Wino_M%dGeV_ctau%dcm_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EEMiniAODv4-130X_mcRun3_2022_realistic_postEE_v6_ext1-v2/MINIAODSIM' % (mass, ctau) + config.Data.secondaryInputDataset = '/AMSB_Wino_M%dGeV_ctau%dcm_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' % (mass, ctau) + config.JobType.pyCfgParams=["isCRAB=True","massForLifetimeReweighting="+str(mass),"lifetimeForLifetimeReweighting="+str(ctau)] + if reallySubmitMass[mass] and reallySubmitLifetime[ctau]: + forkAndSubmit(config) + else: + print('Skipping submission of request:', config.General.requestName) + + if reallySubmitHiggsinoEWK: + for mass in range(100, 1100, 100): + for ctau in [10, 100, 1000, 10000]: + config.General.outputDatasetTag = 'AMSB_Higgsino%dGeV_ctau%dcm_2022EE' % (mass, ctau) + config.General.requestName = 'AMSB_Higgsino%dGeV_ctau%dcm_2022EE' % (mass, ctau) + config.Data.inputDataset = '/AMSB_Higgsino_M%dGeV_ctau%dcm_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EEMiniAODv4-130X_mcRun3_2022_realistic_postEE_v6-v2/MINIAODSIM' % (mass, ctau) + config.Data.secondaryInputDataset = '/AMSB_Higgsino_M%dGeV_ctau%dcm_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' % (mass, ctau) + if reallySubmitMass[mass] and reallySubmitLifetime[ctau]: + forkAndSubmit(config) + else: + print('Skipping submission of request:', config.General.requestName) + diff --git a/SignalSystematics/test/makeZToMuMuISRPlot.py b/SignalSystematics/test/makeZToMuMuISRPlot.py new file mode 100644 index 000000000..81b7d72c2 --- /dev/null +++ b/SignalSystematics/test/makeZToMuMuISRPlot.py @@ -0,0 +1,408 @@ +from array import * + +from OSUT3Analysis.Configuration.configurationOptions import * +from OSUT3Analysis.Configuration.histogramUtilities import * +from DisappTrks.StandardAnalysis.utilities import * + +from ROOT import TFile, gROOT, gStyle, TCanvas, TLegend, TPad + +writeFile = False # Controls if user wants to make isrWeight_disappTrks_*.root file or PDF plots + +gROOT.SetBatch() +gROOT.ProcessLine( "gErrorIgnoreLevel = 6001;") +gROOT.ProcessLine( "gPrintViaErrorHandler = kTRUE;") +if not writeFile: gStyle.SetOptStat(0) + +dirs = getUser() + +mc_condor_dir = dirs['Breno'] + 'BGMC/Run3/2022/ZtoMuMuISR_PostEE' +data_condor_dir = dirs['Breno'] + 'BGMC/Run3/2022/ZtoMuMuISRStudy_Muon2022F' + +# Only datasets that have more than 0 entries +mcFiles = { + 'WToLNu_4Jets_2022EE' : 'hist_merged_WtoLNu_ZToMuMuISR_rebinned', + 'DYJetsToLL_M50_2022EE' : 'hist_merged_DYJetsToLL_ZToMuMuISR_rebinned', + 'WW_2022EE' : 'hist_merged_WW_ZToMuMuISR_rebinned', + 'WZ_2022EE' : 'hist_merged_WZ_ZToMuMuISR_rebinned', + 'ZZ_2022EE' : 'hist_merged_ZZ_ZToMuMuISR_rebinned', + 'TTto2L2Nu_2022EE' : 'hist_merged_TTto2L2Nu_ZToMuMuISR_rebinned', + 'TTtoLNu2Q_2022EE' : 'hist_merged_TTtoLNu2Q_ZToMuMuISR_rebinned', + 'TBbartoLplusNuBbar_2022EE' : 'hist_merged_TBbartoLplusNuBbar_ZToMuMuISR_rebinned', + 'TbarBtoLminusNuB_2022EE' : 'hist_merged_TbarBtoLminusNuB_ZToMuMuISR_rebinned', + 'TQbartoLNu_2022EE' : 'hist_merged_TQbartoLNu_ZToMuMuISR_rebinned', + 'TbarQtoLNu_2022EE' : 'hist_merged_TbarQtoLNu_ZToMuMuISR_rebinned', + 'TWminusto2L2Nu_2022EE' : 'hist_merged_TWminusto2L2Nu_ZToMuMuISR_rebinned', + 'TWminustoLNu2Q_2022EE' : 'hist_merged_TWminustoLNu2Q_ZToMuMuISR_rebinned', + 'TbarWplusto2L2Nu_2022EE' : 'hist_merged_TbarWplusto2L2Nu_ZToMuMuISR_rebinned', + 'TbarWplustoLNu2Q_2022EE' : 'hist_merged_TbarWplustoLNu2Q_ZToMuMuISR_rebinned' +} + +dataFiles = { + 'Muon_2022F' : 'Muon_2022F', +} + +nEvents = { + 'WToLNu_4Jets_2022EE' : 348442033 * 0.964, # Events in AOD * fraction of processed jobs + 'DYJetsToLL_M50_2022EE' : 94947242 * 0.971, # Events in AOD * fraction of processed jobs + 'WW_2022EE' : 53619680 * 0.986, # Events in AOD * fraction of processed jobs + 'WZ_2022EE' : 26887398 * 0.995, # Events in AOD * fraction of processed jobs + 'ZZ_2022EE' : 4043040 * 0.939, # Events in AOD * fraction of processed jobs + 'TTto2L2Nu_2022EE' : 85777130 * 0.970, # Events in AOD * fraction of processed jobs + 'TTtoLNu2Q_2022EE' : 270699232 * 0.982, # Events in AOD * fraction of processed jobs + 'TBbartoLplusNuBbar_2022EE' : 4469700 * 0.978, # Events in AOD * fraction of processed jobs + 'TbarBtoLminusNuB_2022EE' : 276266 * 0.968, # Events in AOD * fraction of processed jobs + 'TQbartoLNu_2022EE' : 32667420 * 0.984, # Events in AOD * fraction of processed jobs + 'TbarQtoLNu_2022EE' : 19537644 * 0.976, # Events in AOD * fraction of processed jobs + 'TWminusto2L2Nu_2022EE' : 8581640 * 0.989, # Events in AOD * fraction of processed jobs + 'TWminustoLNu2Q_2022EE' : 15859351 * 0.974, # Events in AOD * fraction of processed jobs + 'TbarWplusto2L2Nu_2022EE' : 8576050 * 0.977, # Events in AOD * fraction of processed jobs + 'TbarWplustoLNu2Q_2022EE' : 17273607 * 0.993 # Events in AOD * fraction of processed jobs +} + +diMuonPtHists = {} +metNoMuHists = {} + +for file in mcFiles: + diMuonPtHists[file] = getHist(mcFiles[file],mc_condor_dir,'ZtoMuMuISRStudyPlotter','Muon-muon Plots/diMuonPtWide') + diMuonPtHists[file].Scale(crossSections[file]/nEvents[file]) + if not writeFile: diMuonPtHists[file].Rebin(4) + metNoMuHists[file] = getHist(mcFiles[file],mc_condor_dir,'ZtoMuMuISRStudyPlotter','Met Plots/metNoMu') + metNoMuHists[file].Scale(crossSections[file]/nEvents[file]) + +for file in dataFiles: + diMuonPtHists[file] = getHist(dataFiles[file],data_condor_dir,'ZtoMuMuISRStudyPlotter','Muon-muon Plots/diMuonPtWide') + metNoMuHists[file] = getHist(dataFiles[file],data_condor_dir,'ZtoMuMuISRStudyPlotter','Met Plots/metNoMu') + if not writeFile: diMuonPtHists[file].Rebin(4) + +diMuonPtStackedHists = {} + +diMuonPtStackedHists['W'] = diMuonPtHists['WToLNu_4Jets_2022EE'] + +WTopHist_diMuonPt = diMuonPtHists['WToLNu_4Jets_2022EE'].Clone("diMuonWTop") +WTopHist_diMuonPt.SetDirectory(0) +WTopHist_diMuonPt.Add(diMuonPtHists['TBbartoLplusNuBbar_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarBtoLminusNuB_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TQbartoLNu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarQtoLNu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TWminusto2L2Nu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TWminustoLNu2Q_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarWplusto2L2Nu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarWplustoLNu2Q_2022EE']) +diMuonPtStackedHists['WTop'] = WTopHist_diMuonPt + +WTopDiHist_diMuonPt = WTopHist_diMuonPt.Clone("diMuonWTopDi") +WTopDiHist_diMuonPt.SetDirectory(0) +WTopDiHist_diMuonPt.Add(diMuonPtHists['WW_2022EE']) +WTopDiHist_diMuonPt.Add(diMuonPtHists['WZ_2022EE']) +WTopDiHist_diMuonPt.Add(diMuonPtHists['ZZ_2022EE']) +diMuonPtStackedHists['WTopDi'] = WTopDiHist_diMuonPt + +WTopDiTTHist_diMuonPt = WTopDiHist_diMuonPt.Clone("diMuonWTopDiTT") +WTopDiTTHist_diMuonPt.SetDirectory(0) +WTopDiTTHist_diMuonPt.Add(diMuonPtHists['TTto2L2Nu_2022EE']) +WTopDiTTHist_diMuonPt.Add(diMuonPtHists['TTtoLNu2Q_2022EE']) +diMuonPtStackedHists['WTopDiTT'] = WTopDiTTHist_diMuonPt + +WTopDiTTDYHist_diMuonPt = WTopDiTTHist_diMuonPt.Clone("diMuonWTopDiTTDY") +WTopDiTTDYHist_diMuonPt.SetDirectory(0) +WTopDiTTDYHist_diMuonPt.Add(diMuonPtHists['DYJetsToLL_M50_2022EE']) +diMuonPtStackedHists['WTopDiTTDY'] = WTopDiTTDYHist_diMuonPt + +# Just for plotting +QCDHist_diMuonPt = diMuonPtHists['WToLNu_4Jets_2022EE'].Clone("diMuonQCD") +QCDHist_diMuonPt.SetDirectory(0) +QCDHist_diMuonPt.SetFillColor(colors['QCD2022EE']) +QCDHist_diMuonPt.SetLineColor(1) + +ZTo2NuHist_diMuonPt = diMuonPtHists['WToLNu_4Jets_2022EE'].Clone("diMuonZTo2Nu") +ZTo2NuHist_diMuonPt.SetDirectory(0) +ZTo2NuHist_diMuonPt.SetFillColor(colors['ZJetsToNuNu2022EE']) +ZTo2NuHist_diMuonPt.SetLineColor(1) + +errorHist_diMuonPt = WTopDiTTDYHist_diMuonPt = diMuonPtStackedHists['WTopDiTTDY'].Clone("error_diMuonWTopDiTTDY") +errorHist_diMuonPt.SetDirectory(0) + +DataHist_diMuonPt = diMuonPtHists['Muon_2022F'].Clone("DataHist_diMuonPt") +DataHist_diMuonPt.SetDirectory(0) + +errorHist_diMuonPt.Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['W'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTop'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTopDi'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTopDiTT'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTopDiTTDY'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) + +diMuonPtStackedHists['W'].SetFillColor(colors['WToLNu_4Jets_2022EE']) +diMuonPtStackedHists['WTop'].SetFillColor(colors['SingleTop2022EE']) +diMuonPtStackedHists['WTopDi'].SetFillColor(colors['Diboson2022EE']) +diMuonPtStackedHists['WTopDiTT'].SetFillColor(colors['TT2022EE']) +diMuonPtStackedHists['WTopDiTTDY'].SetFillColor(colors['DYJetsToLL_M50_2022EE']) +errorHist_diMuonPt.SetFillColor(1) +errorHist_diMuonPt.SetFillStyle(3001) +diMuonPtStackedHists['W'].SetLineColor(1) +diMuonPtStackedHists['WTop'].SetLineColor(1) +diMuonPtStackedHists['WTopDi'].SetLineColor(1) +diMuonPtStackedHists['WTopDiTT'].SetLineColor(1) +diMuonPtStackedHists['WTopDiTTDY'].SetLineColor(1) +errorHist_diMuonPt.SetLineColor(1) + +DataHist_diMuonPt.SetMarkerStyle(20) +DataHist_diMuonPt.SetLineColor(1) + +Legend_diMuonPt = TLegend(0.7,0.65,0.9,0.9) +Legend_diMuonPt.SetBorderSize(0) +Legend_diMuonPt.SetFillColor(0) +Legend_diMuonPt.SetFillStyle(0) +Legend_diMuonPt.SetTextSize(0.03) +Legend_diMuonPt.AddEntry(DataHist_diMuonPt,"Muon 2022F data","P") +Legend_diMuonPt.AddEntry(errorHist_diMuonPt,"stat. errors","F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTopDiTTDY'],labels['DYJetsToLL2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTopDiTT'],labels['TT2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTopDi'],labels['Diboson2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTop'],labels['SingleTop2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['W'],labels['WToLNu_4Jets_2022EE'],"F") + +Canvas_diMuonPt = TCanvas("oia","oia",700,700) +p1_diMuonPt = TPad("p1_diMuonPt", "", 0.0, 0.20, 1.0, 1.0, 21) +p2_diMuonPt = TPad("p2_diMuonPt", "", 0.0, 0.0, 1.0, 0.205, 21) +Canvas_diMuonPt.cd() +p1_diMuonPt.SetFillColor(0) +p2_diMuonPt.SetFillColor(0) +p1_diMuonPt.SetTopMargin(0.08) +p1_diMuonPt.SetBottomMargin(0.013) +p1_diMuonPt.SetLeftMargin(0.15) +p1_diMuonPt.SetRightMargin(0.05) +p2_diMuonPt.SetTopMargin(0.05) +p2_diMuonPt.SetBottomMargin(0.3) +p2_diMuonPt.SetLeftMargin(0.15) +p2_diMuonPt.SetRightMargin(0.05) +p1_diMuonPt.Draw() +p2_diMuonPt.Draw() +p1_diMuonPt.cd() +p1_diMuonPt.SetLogy() +diMuonPtStackedHists['WTopDiTTDY'].SetMinimum(0.0002) +diMuonPtStackedHists['WTopDiTTDY'].SetMaximum(10000000.0) +diMuonPtStackedHists['WTopDiTTDY'].SetAxisRange(0,1000,"X") +DataHist_diMuonPt.SetAxisRange(0,1000,"X") +diMuonPtStackedHists['WTopDiTTDY'].GetXaxis().SetTitle("Entries / 4 GeV") +diMuonPtStackedHists['WTopDiTTDY'].SetTitle("") +diMuonPtStackedHists['WTopDiTTDY'].Draw("HIST") +errorHist_diMuonPt.Draw("SAME,E2") +DataHist_diMuonPt.Draw("SAME,P,E") +diMuonPtStackedHists['WTopDiTT'].Draw("SAME,HIST") +diMuonPtStackedHists['WTopDi'].Draw("SAME,HIST") +diMuonPtStackedHists['WTop'].Draw("SAME,HIST") +diMuonPtStackedHists['W'].Draw("SAME,HIST") +Legend_diMuonPt.Draw() + +p2_diMuonPt.cd() +p2_diMuonPt.SetGridy() +ratio_diMuonPt = ratioHistogram(DataHist_diMuonPt,diMuonPtStackedHists['WTopDiTTDY'],addOne=True) +ratio_diMuonPt.SetMinimum(0.0) +ratio_diMuonPt.SetMaximum(2.5) +ratio_diMuonPt.GetXaxis().SetRangeUser(0,1000) +ratio_diMuonPt.SetTitle("") +ratio_diMuonPt.GetXaxis().SetTitle("p_{T}(#mu#mu) [GeV]") +ratio_diMuonPt.GetYaxis().SetTitle("Data/MC") +ratio_diMuonPt.GetXaxis().SetTitleOffset(1.12) + +if writeFile: + ratioFile = TFile.Open("isrWeight_disappTrks_run3.root","RECREATE") + ratio_diMuonPt.SetName("Muon_2022F") + ratio_diMuonPt.GetXaxis().SetRangeUser(0,932) + ratio_diMuonPt.Write() + ratioFile.Close() + +else: + ratio_diMuonPt.GetXaxis().SetTitleSize(0.12) + ratio_diMuonPt.GetXaxis().SetLabelSize(0.12) + ratio_diMuonPt.GetYaxis().SetTitleSize(0.12) + ratio_diMuonPt.GetYaxis().SetLabelSize(0.12) + ratio_diMuonPt.GetYaxis().SetTitleOffset(0.42) + ratio_diMuonPt.Draw() + +Canvas_diMuonPt.Update() +Canvas_diMuonPt.Print("diMuonPt_ZToMuMuISR.pdf") + +metNoMuStackedHists = {} + +metNoMuStackedHists['W'] = metNoMuHists['WToLNu_4Jets_2022EE'] + +WTopHist_metNoMu = metNoMuHists['WToLNu_4Jets_2022EE'].Clone("metNoMuWTop") +WTopHist_metNoMu.SetDirectory(0) +WTopHist_metNoMu.Add(metNoMuHists['TBbartoLplusNuBbar_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarBtoLminusNuB_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TQbartoLNu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarQtoLNu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TWminusto2L2Nu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TWminustoLNu2Q_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarWplusto2L2Nu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarWplustoLNu2Q_2022EE']) +metNoMuStackedHists['WTop'] = WTopHist_metNoMu + +WTopDiHist_metNoMu = WTopHist_metNoMu.Clone("metNoMuWTopDi") +WTopDiHist_metNoMu.SetDirectory(0) +WTopDiHist_metNoMu.Add(metNoMuHists['WW_2022EE']) +WTopDiHist_metNoMu.Add(metNoMuHists['WZ_2022EE']) +WTopDiHist_metNoMu.Add(metNoMuHists['ZZ_2022EE']) +metNoMuStackedHists['WTopDi'] = WTopDiHist_metNoMu + +WTopDiTTHist_metNoMu = WTopDiHist_metNoMu.Clone("metNoMuWTopDiTT") +WTopDiTTHist_metNoMu.SetDirectory(0) +WTopDiTTHist_metNoMu.Add(metNoMuHists['TTto2L2Nu_2022EE']) +WTopDiTTHist_metNoMu.Add(metNoMuHists['TTtoLNu2Q_2022EE']) +metNoMuStackedHists['WTopDiTT'] = WTopDiTTHist_metNoMu + +WTopDiTTDYHist_metNoMu = WTopDiTTHist_metNoMu.Clone("metNoMuWTopDiTTDY") +WTopDiTTDYHist_metNoMu.SetDirectory(0) +WTopDiTTDYHist_metNoMu.Add(metNoMuHists['DYJetsToLL_M50_2022EE']) +metNoMuStackedHists['WTopDiTTDY'] = WTopDiTTDYHist_metNoMu + +# Just for plotting +QCDHist_metNoMu = metNoMuHists['WToLNu_4Jets_2022EE'].Clone("metNoMuQCD") +QCDHist_metNoMu.SetDirectory(0) +QCDHist_metNoMu.SetFillColor(colors['QCD2022EE']) +QCDHist_metNoMu.SetLineColor(1) + +ZTo2NuHist_metNoMu = metNoMuHists['WToLNu_4Jets_2022EE'].Clone("metNoMuZTo2Nu") +ZTo2NuHist_metNoMu.SetDirectory(0) +ZTo2NuHist_metNoMu.SetFillColor(colors['ZJetsToNuNu2022EE']) +ZTo2NuHist_metNoMu.SetLineColor(1) + +errorHist_metNoMu = WTopDiTTDYHist_metNoMu = metNoMuStackedHists['WTopDiTTDY'].Clone("error_metNoMuWTopDiTTDY") +errorHist_metNoMu.SetDirectory(0) + +DataHist_metNoMu = metNoMuHists['Muon_2022F'].Clone("DataHist_metNoMu") +DataHist_metNoMu.SetDirectory(0) + +errorHist_metNoMu.Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['W'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTop'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTopDi'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTopDiTT'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTopDiTTDY'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) + +metNoMuStackedHists['W'].SetFillColor(colors['WToLNu_4Jets_2022EE']) +metNoMuStackedHists['WTop'].SetFillColor(colors['SingleTop2022EE']) +metNoMuStackedHists['WTopDi'].SetFillColor(colors['Diboson2022EE']) +metNoMuStackedHists['WTopDiTT'].SetFillColor(colors['TT2022EE']) +metNoMuStackedHists['WTopDiTTDY'].SetFillColor(colors['DYJetsToLL_M50_2022EE']) +errorHist_metNoMu.SetFillColor(1) +errorHist_metNoMu.SetFillStyle(3001) +metNoMuStackedHists['W'].SetLineColor(1) +metNoMuStackedHists['WTop'].SetLineColor(1) +metNoMuStackedHists['WTopDi'].SetLineColor(1) +metNoMuStackedHists['WTopDiTT'].SetLineColor(1) +metNoMuStackedHists['WTopDiTTDY'].SetLineColor(1) +errorHist_metNoMu.SetLineColor(1) + +DataHist_metNoMu.SetMarkerStyle(20) +DataHist_metNoMu.SetLineColor(1) + +Legend_metNoMu = TLegend(0.7,0.65,0.9,0.9) +Legend_metNoMu.SetBorderSize(0) +Legend_metNoMu.SetFillColor(0) +Legend_metNoMu.SetFillStyle(0) +Legend_metNoMu.SetTextSize(0.03) +Legend_metNoMu.AddEntry(DataHist_metNoMu,"Muon 2022F data","P") +Legend_metNoMu.AddEntry(errorHist_metNoMu,"stat. errors","F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTopDiTTDY'],labels['DYJetsToLL2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTopDiTT'],labels['TT2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTopDi'],labels['Diboson2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTop'],labels['SingleTop2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['W'],labels['WToLNu_4Jets_2022EE'],"F") +# Legend_metNoMu.AddEntry(QCDHist_metNoMu,labels['QCD2022EE'],"F") +# Legend_metNoMu.AddEntry(ZTo2NuHist_metNoMu,labels['ZJetsToNuNu2022EE'],"F") + +Canvas_metNoMu = TCanvas("oia","oia",700,700) +p1_metNoMu = TPad("p1_metNoMu", "", 0.0, 0.20, 1.0, 1.0, 21) +p2_metNoMu = TPad("p2_metNoMu", "", 0.0, 0.0, 1.0, 0.205, 21) +Canvas_metNoMu.cd() +p1_metNoMu.SetFillColor(0) +p2_metNoMu.SetFillColor(0) +p1_metNoMu.SetTopMargin(0.08) +p1_metNoMu.SetBottomMargin(0.013) +p1_metNoMu.SetLeftMargin(0.15) +p1_metNoMu.SetRightMargin(0.05) +p2_metNoMu.SetTopMargin(0.05) +p2_metNoMu.SetBottomMargin(0.3) +p2_metNoMu.SetLeftMargin(0.15) +p2_metNoMu.SetRightMargin(0.05) +p1_metNoMu.Draw() +p2_metNoMu.Draw() +p1_metNoMu.cd() +p1_metNoMu.SetLogy() +metNoMuStackedHists['WTopDiTTDY'].SetMinimum(0.000002) +metNoMuStackedHists['WTopDiTTDY'].SetMaximum(10000000.0) +metNoMuStackedHists['WTopDiTTDY'].GetXaxis().SetRangeUser(0,950) +metNoMuStackedHists['WTopDiTTDY'].SetTitle("") +metNoMuStackedHists['WTopDiTTDY'].Draw("HIST") +errorHist_metNoMu.Draw("SAME,E2") +DataHist_metNoMu.Draw("SAME,P,E") +metNoMuStackedHists['WTopDiTT'].Draw("SAME,HIST") +metNoMuStackedHists['WTopDi'].Draw("SAME,HIST") +metNoMuStackedHists['WTop'].Draw("SAME,HIST") +metNoMuStackedHists['W'].Draw("SAME,HIST") +Legend_metNoMu.Draw() + +p2_metNoMu.cd() +p2_metNoMu.SetGridy() +ratio_metNoMu = ratioHistogram(DataHist_metNoMu,metNoMuStackedHists['WTopDiTTDY'],addOne=True) +ratio_metNoMu.SetMinimum(0.0) +ratio_metNoMu.SetMaximum(2.5) +ratio_metNoMu.GetXaxis().SetRangeUser(0,950) +ratio_metNoMu.SetTitle("") +ratio_metNoMu.GetXaxis().SetTitleSize(0.12) +ratio_metNoMu.GetXaxis().SetLabelSize(0.12) +ratio_metNoMu.GetXaxis().SetTitle("E_{T}^{miss, no #mu} [GeV]") +ratio_metNoMu.GetXaxis().SetTitleOffset(1.12) +ratio_metNoMu.GetYaxis().SetTitle("Data/MC") +ratio_metNoMu.GetYaxis().SetTitleSize(0.12) +ratio_metNoMu.GetYaxis().SetLabelSize(0.12) +ratio_metNoMu.GetYaxis().SetTitleOffset(0.42) +ratio_metNoMu.Draw() + +Canvas_metNoMu.Update() +Canvas_metNoMu.Print("metNoMu_ZToMuMuISR.pdf") + +auxList = [] +for key in diMuonPtStackedHists: + auxList.append(key) +for key in auxList: + del diMuonPtStackedHists[key] + +auxList = [] +for key in metNoMuStackedHists: + auxList.append(key) +for key in auxList: + del metNoMuStackedHists[key] + +auxList = [] +for key in diMuonPtHists: + auxList.append(key) +for key in auxList: + del diMuonPtHists[key] + +auxList = [] +for key in metNoMuHists: + auxList.append(key) +for key in auxList: + del metNoMuHists[key] + +del errorHist_diMuonPt +del DataHist_diMuonPt +del WTopHist_diMuonPt +del WTopDiHist_diMuonPt +del WTopDiTTHist_diMuonPt +del WTopDiTTDYHist_diMuonPt +del QCDHist_diMuonPt +del ZTo2NuHist_diMuonPt + +del errorHist_metNoMu +del DataHist_metNoMu +del WTopHist_metNoMu +del WTopDiHist_metNoMu +del WTopDiTTHist_metNoMu +del WTopDiTTDYHist_metNoMu +del QCDHist_metNoMu +del ZTo2NuHist_metNoMu diff --git a/Skims/test/test_EXODisappTrk_MC2022_PAT.py b/Skims/test/test_EXODisappTrk_MC2022_PAT.py index d8cf69bf7..8f06022d5 100644 --- a/Skims/test/test_EXODisappTrk_MC2022_PAT.py +++ b/Skims/test/test_EXODisappTrk_MC2022_PAT.py @@ -26,14 +26,14 @@ process.load('Configuration.StandardSequences.EndOfProcess_cff') process.maxEvents = cms.untracked.PSet( - input = cms.untracked.int32(-1), + input = cms.untracked.int32(100), output = cms.optional.untracked.allowed(cms.int32,cms.PSet) ) # Input source process.source = cms.Source("PoolSource", # fileNames = cms.untracked.vstring('/store/mc/Run3Summer22EEDRPremix/WtoLNu-2Jets_TuneCP5_13p6TeV_amcatnloFXFX-pythia8/AODSIM/124X_mcRun3_2022_realistic_postEE_v1-v3/2810000/0075c854-6a75-4b96-a729-1e75f3c89dba.root'), - fileNames = cms.untracked.vstring('/store/mc/Run3Summer22EEDR/QCD_PT-15to30_TuneCP5_13p6TeV_pythia8/AODSIM/EpsilonPU_124X_mcRun3_2022_realistic_postEE_v1-v2/60000/04069c33-a112-413e-b479-6b57ff04e9ea.root'), + fileNames = cms.untracked.vstring('file:root://cmsxrootd.fnal.gov://store/mc/Run3Summer22EEDRPremix/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/AODSIM/forPOG_124X_mcRun3_2022_realistic_postEE_v1-v3/2810000/002cda4f-e18b-4323-981b-9e06c13e0d67.root'), secondaryFileNames = cms.untracked.vstring() ) diff --git a/Skims/test/test_crab.py b/Skims/test/test_crab.py index a8cb95d69..62d6bff63 100644 --- a/Skims/test/test_crab.py +++ b/Skims/test/test_crab.py @@ -14,41 +14,7 @@ config.JobType.allowUndistributedCMSSW = True config.JobType.maxMemoryMB = 4000 -# config.Data.inputDataset = '/WtoLNu-4Jets_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/WtoLNu-2Jets_TuneCP5_13p6TeV_amcatnloFXFX-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' -# config.Data.inputDataset = '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/Run3Summer22EEDRPremix-forPOG_124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' -# config.Data.inputDataset = '/WW_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' -# config.Data.inputDataset = '/WZ_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' -# config.Data.inputDataset = '/ZZ_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' -# config.Data.inputDataset = '/TTto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' - -# config.Data.inputDataset = '/QCD_PT-15to30_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDR-EpsilonPU_124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-30to50_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDR-EpsilonPU_124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-50to80_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-80to120_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-120to170_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-170to300_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' - -# config.Data.inputDataset = '/QCD_PT-300to470_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-470to600_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-600to800_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' -# config.Data.inputDataset = '/QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1_ext1-v2/AODSIM' - -# config.Data.inputDataset = '/Zto2Nu-4Jets_HT-100to200_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/Zto2Nu-4Jets_HT-200to400_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/Zto2Nu-4Jets_HT-400to800_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/Zto2Nu-4Jets_HT-800to1500_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v1/AODSIM' -# config.Data.inputDataset = '/Zto2Nu-4Jets_HT-1500to2500_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' - -# config.Data.inputDataset = '/WtoMuNu_M-100to200_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -# config.Data.inputDataset = '/WtoMuNu_M-200to500_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' -config.Data.inputDataset = '/WtoMuNu_M-500to1000_TuneCP5_13p6TeV_pythia8/Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v2/AODSIM' +config.Data.inputDataset = '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/Run3Summer22EEDRPremix-forPOG_124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' config.Data.inputDBS = 'global' @@ -57,7 +23,8 @@ config.Data.publication = True config.Data.outputDatasetTag = 'Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT' -config.Data.outLFNDirBase = '/store/user/borzari/' -config.Site.storageSite = 'T2_BR_SPRACE' +config.Data.outLFNDirBase = '/store/group/lpclonglived/DisappTrks/skim/2022/' +config.Site.storageSite = 'T3_US_FNALLPC' config.Site.whitelist = ["T2_BR_SPRACE"] +config.Data.inputDBS = 'global' diff --git a/StandardAnalysis/data/isrWeight_disappTrks_run3.root b/StandardAnalysis/data/isrWeight_disappTrks_run3.root new file mode 100644 index 000000000..a8c7c2bfb Binary files /dev/null and b/StandardAnalysis/data/isrWeight_disappTrks_run3.root differ diff --git a/StandardAnalysis/data/pu_disappTrks_run3.root b/StandardAnalysis/data/pu_disappTrks_run3.root new file mode 100644 index 000000000..656fa5d8d Binary files /dev/null and b/StandardAnalysis/data/pu_disappTrks_run3.root differ diff --git a/StandardAnalysis/data/triggerEfficiencies_disappTrks_run3.root b/StandardAnalysis/data/triggerEfficiencies_disappTrks_run3.root new file mode 100644 index 000000000..197a63752 Binary files /dev/null and b/StandardAnalysis/data/triggerEfficiencies_disappTrks_run3.root differ diff --git a/StandardAnalysis/macros/AN-24-155/CMS_lumi.py b/StandardAnalysis/macros/AN-24-155/CMS_lumi.py new file mode 100644 index 000000000..44ae4d135 --- /dev/null +++ b/StandardAnalysis/macros/AN-24-155/CMS_lumi.py @@ -0,0 +1,175 @@ +import ROOT as rt + +# CMS_lumi +# Initiated by: Gautier Hamel de Monchenault (Saclay) +# Translated in Python by: Joshua Hardenbrook (Princeton) +# Updated by: Dinko Ferencek (Rutgers) +# + +H_ref = 700; +W_ref = 700; +W = W_ref +H = H_ref + +# references for T, B, L, R +T = 0.08*H_ref +B = 0.12*H_ref +L = 0.12*W_ref +R = 0.04*W_ref + +cmsText = "CMS" +cmsTextFont = 61 + +writeExtraText = True +extraText = "Preliminary" +extraTextFont = 52 + +lumiTextSize = 0.55 +lumiTextOffset = 0.2 + +cmsTextSize = 0.55 +cmsTextOffset = 0.1 + +relPosX = 0.045 +relPosY = 0.035 +relExtraDY = 1.2 + +extraOverCmsTextSize = 0.76 + +lumi_13p6TeV = "17.8 fb^{-1}" +lumi_13TeV = "20.1 fb^{-1}" +lumi_8TeV = "19.7 fb^{-1}" +lumi_7TeV = "5.1 fb^{-1}" +lumi_sqrtS = "" + +drawLogo = False + +def CMS_lumi(pad, iPeriod, iPosX ): + outOfFrame = False + if(iPosX/10==0 ): outOfFrame = True + + alignY_=3 + alignX_=2 + if( iPosX/10==0 ): alignX_=1 + if( iPosX==0 ): alignY_=1 + if( iPosX/10==1 ): alignX_=1 + if( iPosX/10==2 ): alignX_=2 + if( iPosX/10==3 ): alignX_=3 + align_ = 10*alignX_ + alignY_ + + H = pad.GetWh() + W = pad.GetWw() + l = pad.GetLeftMargin() + t = pad.GetTopMargin() + r = pad.GetRightMargin() + b = pad.GetBottomMargin() + e = 0.025 + + pad.cd() + + lumiText = "" + if( iPeriod==1 ): + lumiText += lumi_7TeV + lumiText += " (7 TeV)" + elif ( iPeriod==2 ): + lumiText += lumi_8TeV + lumiText += " (8 TeV)" + + elif( iPeriod==3 ): + lumiText = lumi_8TeV + lumiText += " (8 TeV)" + lumiText += " + " + lumiText += lumi_7TeV + lumiText += " (7 TeV)" + elif ( iPeriod==4 ): + lumiText += lumi_13TeV + lumiText += " (13 TeV)" + elif ( iPeriod==7 ): + if( outOfFrame ):lumiText += "#scale[0.85]{" + lumiText += lumi_13TeV + lumiText += " (13 TeV)" + lumiText += " + " + lumiText += lumi_8TeV + lumiText += " (8 TeV)" + lumiText += " + " + lumiText += lumi_7TeV + lumiText += " (7 TeV)" + if( outOfFrame): lumiText += "}" + elif ( iPeriod==12 ): + lumiText += "8 TeV" + elif( iPeriod==136 ): + lumiText += lumi_13p6TeV + lumiText += " (13.6 TeV)" + elif ( iPeriod==0 ): + lumiText += lumi_sqrtS + + print(lumiText) + + latex = rt.TLatex() + latex.SetNDC() + latex.SetTextAngle(0) + latex.SetTextColor(rt.kBlack) + + extraTextSize = extraOverCmsTextSize*cmsTextSize + + latex.SetTextFont(42) + latex.SetTextAlign(31) + latex.SetTextSize(lumiTextSize*t) + + latex.DrawLatex(1-r,1-t+lumiTextOffset*t,lumiText) + + if( outOfFrame ): + latex.SetTextFont(cmsTextFont) + latex.SetTextAlign(11) + latex.SetTextSize(cmsTextSize*t) + latex.DrawLatex(l,1-t+lumiTextOffset*t,cmsText) + + pad.cd() + + posX_ = 0 + if( iPosX%10<=1 ): + posX_ = l + relPosX*(1-l-r) + elif( iPosX%10==2 ): + posX_ = l + 0.5*(1-l-r) + elif( iPosX%10==3 ): + posX_ = 1-r - relPosX*(1-l-r) + + posY_ = 1-t - relPosY*(1-t-b) + + if( not outOfFrame ): + if( drawLogo ): + posX_ = l + 0.045*(1-l-r)*W/H + posY_ = 1-t - 0.045*(1-t-b) + xl_0 = posX_ + yl_0 = posY_ - 0.15 + xl_1 = posX_ + 0.15*H/W + yl_1 = posY_ + CMS_logo = rt.TASImage("CMS-BW-label.png") + pad_logo = rt.TPad("logo","logo", xl_0, yl_0, xl_1, yl_1 ) + pad_logo.Draw() + pad_logo.cd() + CMS_logo.Draw("X") + pad_logo.Modified() + pad.cd() + else: + latex.SetTextFont(cmsTextFont) + latex.SetTextSize(cmsTextSize*t) + latex.SetTextAlign(align_) + latex.DrawLatex(posX_, posY_, cmsText) + if( writeExtraText ) : + latex.SetTextFont(extraTextFont) + latex.SetTextAlign(align_) + latex.SetTextSize(extraTextSize*t) + latex.DrawLatex(posX_, posY_- relExtraDY*cmsTextSize*t, extraText) + elif( writeExtraText ): + if( iPosX==0): + posX_ = l + relPosX*(1-l-r) + posY_ = 1-t+lumiTextOffset*t + + latex.SetTextFont(extraTextFont) + latex.SetTextSize(extraTextSize*t) + latex.SetTextAlign(align_) + latex.DrawLatex(posX_, posY_, extraText) + + pad.Update() + diff --git a/StandardAnalysis/macros/AN-24-155/makeBasicPlots.py b/StandardAnalysis/macros/AN-24-155/makeBasicPlots.py new file mode 100644 index 000000000..b387a4bfc --- /dev/null +++ b/StandardAnalysis/macros/AN-24-155/makeBasicPlots.py @@ -0,0 +1,390 @@ +from array import * +import CMS_lumi + +from OSUT3Analysis.Configuration.configurationOptions import * +from OSUT3Analysis.Configuration.histogramUtilities import * +from DisappTrks.StandardAnalysis.utilities import * +from DisappTrks.StandardAnalysis.miniAOD_124X_Samples import dataset_names_bkgd + +from ROOT import TFile, gROOT, gStyle, TCanvas, TLegend, TPad + +gROOT.SetBatch() +gROOT.ProcessLine( "gErrorIgnoreLevel = 6001;") +gROOT.ProcessLine( "gPrintViaErrorHandler = kTRUE;") +gStyle.SetOptStat(0) + +mc_condor_dir = '/data/users/borzari/condor/BGMC/Run3/2022/basicPlots' + +# dataFiles = { +# 'Muon_2022F' : 'Muon_2022F', +# } + +# This is used in the MiniAOD+AOD processing; for MiniAOD-only the number of events can be extracted from the histograms +# nEvents = { +# 'WToLNu_4Jets_2022EE' : 348442033 * 0.964, # Events in AOD * fraction of processed jobs +# 'DYJetsToLL_M50_2022EE' : 94947242 * 0.971, # Events in AOD * fraction of processed jobs +# 'WW_2022EE' : 53619680 * 0.986, # Events in AOD * fraction of processed jobs +# 'WZ_2022EE' : 26887398 * 0.995, # Events in AOD * fraction of processed jobs +# 'ZZ_2022EE' : 4043040 * 0.939, # Events in AOD * fraction of processed jobs +# 'TTto2L2Nu_2022EE' : 85777130 * 0.970, # Events in AOD * fraction of processed jobs +# 'TTtoLNu2Q_2022EE' : 270699232 * 0.982, # Events in AOD * fraction of processed jobs +# 'TTto4Q_2022EE' : 182664317 * 0.995, # Events in AOD * fraction of processed jobs +# 'TBbartoLplusNuBbar_2022EE' : 4469700 * 0.978, # Events in AOD * fraction of processed jobs +# 'TbarBtoLminusNuB_2022EE' : 276266 * 0.968, # Events in AOD * fraction of processed jobs +# 'TQbartoLNu_2022EE' : 32667420 * 0.984, # Events in AOD * fraction of processed jobs +# 'TbarQtoLNu_2022EE' : 19537644 * 0.976, # Events in AOD * fraction of processed jobs +# 'TWminusto2L2Nu_2022EE' : 8581640 * 0.989, # Events in AOD * fraction of processed jobs +# 'TWminustoLNu2Q_2022EE' : 15859351 * 0.974, # Events in AOD * fraction of processed jobs +# 'TbarWplusto2L2Nu_2022EE' : 8576050 * 0.977, # Events in AOD * fraction of processed jobs +# 'TbarWplustoLNu2Q_2022EE' : 17273607 * 0.993, # Events in AOD * fraction of processed jobs +# 'QCD_PT15to30_2022EE' : 3998528 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT30to50_2022EE' : 3998508 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT50to80_2022EE' : 19907875 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT80to120_2022EE' : 29904828 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT120to170_2022EE' : 27792681 * 0.998, # Events in AOD * fraction of processed jobs +# 'QCD_PT170to300_2022EE' : 28829984 * 0.998, # Events in AOD * fraction of processed jobs +# 'QCD_PT300to470_2022EE' : 56016158 * 0.943, # Events in AOD * fraction of processed jobs +# 'QCD_PT470to600_2022EE' : 26933590 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT600to800_2022EE' : 65322580 * 0.991, # Events in AOD * fraction of processed jobs +# 'QCD_PT800to1000_2022EE' : 38576235 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT1000to1400_2022EE' : 19335155 * 0.998, # Events in AOD * fraction of processed jobs +# 'QCD_PT1400to1800_2022EE' : 5690478 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT1800to2400_2022EE' : 2914410 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT2400to3200_2022EE' : 1900526 * 1.000, # Events in AOD * fraction of processed jobs +# 'QCD_PT3200_2022EE' : 799436 * 1.000, # Events in AOD * fraction of processed jobs +# 'Zto2Nu_4Jets_HT100to200_2022EE' : 106149804 * 0.987, # Events in AOD * fraction of processed jobs +# 'Zto2Nu_4Jets_HT200to400_2022EE' : 67339696 * 0.992, # Events in AOD * fraction of processed jobs +# 'Zto2Nu_4Jets_HT400to800_2022EE' : 7096747 * 0.977, # Events in AOD * fraction of processed jobs +# 'Zto2Nu_4Jets_HT800to1500_2022EE' : 1658103 * 1.000, # Events in AOD * fraction of processed jobs +# 'Zto2Nu_4Jets_HT1500to2500_2022EE' : 1790534 * 0.988, # Events in AOD * fraction of processed jobs +# 'Zto2Nu_4Jets_HT2500_2022EE' : 1651711 * 0.992, # Events in AOD * fraction of processed jobs +# } + +deltaPhiMetJetLeadingHists = {} +dijetMaxDeltaPhiHists = {} + +for dataset in dataset_names_bkgd: + if dataset == 'DYto2L_4jets_M10to50_2022EE' or dataset == 'DYJetsToLL_M50_merged': continue + deltaPhiMetJetLeadingHists[dataset] = getHist('hist_merged_' + dataset + '_basicPlotsv2',mc_condor_dir,'BasicSelectionNoAngularCutsPlotter','Met-eventvariable Plots/deltaPhiMetJetLeading',False) + nEvents = (getHist('hist_merged_' + dataset + '_basicPlotsv2',mc_condor_dir,'BasicSelectionNoAngularCutsCutFlowPlotter','cutFlow',False)).GetBinContent(1) + # deltaPhiMetJetLeadingHists[dataset].Scale(crossSections[dataset]/nEvents[dataset]) # For MiniAOD+AOD processing + deltaPhiMetJetLeadingHists[dataset].Scale(crossSections[dataset]/nEvents) # For MiniAOD-only processing + deltaPhiMetJetLeadingHists[dataset].Rebin(2) + dijetMaxDeltaPhiHists[dataset] = getHist('hist_merged_' + dataset + '_basicPlotsv2',mc_condor_dir,'BasicSelectionNoAngularCutsPlotter','Eventvariable Plots/dijetMaxDeltaPhi',False) + # dijetMaxDeltaPhiHists[dataset].Scale(crossSections[dataset]/nEvents[dataset]) # For MiniAOD+AOD processing + dijetMaxDeltaPhiHists[dataset].Scale(crossSections[dataset]/nEvents) # For MiniAOD-only processing + dijetMaxDeltaPhiHists[dataset].Rebin(2) + +# for dataset in dataset_names_bkgd: +# deltaPhiMetJetLeadingHists[dataset] = getHist(dataFiles[file],data_condor_dir,'BasicSelectionNoAngularCutsPlotter','Met-eventvariable Plots/deltaPhiMetJetLeading') +# dijetMaxDeltaPhiHists[dataset] = getHist(dataFiles[file],data_condor_dir,'BasicSelectionNoAngularCutsPlotter','Eventvariable Plots/dijetMaxDeltaPhi') +# deltaPhiMetJetLeadingHists[dataset].Rebin(2) + +deltaPhiMetJetLeadingStackedHists = {} + +DiHist_deltaPhiMetJetLeading = deltaPhiMetJetLeadingHists['WW_2022EE'] +DiHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['WZ_2022EE']) +DiHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['ZZ_2022EE']) +deltaPhiMetJetLeadingStackedHists['W'] = DiHist_deltaPhiMetJetLeading + +WTopHist_deltaPhiMetJetLeading = DiHist_deltaPhiMetJetLeading.Clone("diMuonWTop") +WTopHist_deltaPhiMetJetLeading.SetDirectory(0) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TBbartoLplusNuBbar_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TbarBtoLminusNuB_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TQbartoLNu_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TbarQtoLNu_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TWminusto2L2Nu_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TWminustoLNu2Q_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TbarWplusto2L2Nu_2022EE']) +WTopHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TbarWplustoLNu2Q_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTop'] = WTopHist_deltaPhiMetJetLeading + +WTopDiHist_deltaPhiMetJetLeading = WTopHist_deltaPhiMetJetLeading.Clone("diMuonWTopDi") +WTopDiHist_deltaPhiMetJetLeading.SetDirectory(0) +WTopDiHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['DYJetsToLL_M50_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDi'] = WTopDiHist_deltaPhiMetJetLeading + +WTopDiTTHist_deltaPhiMetJetLeading = WTopDiHist_deltaPhiMetJetLeading.Clone("diMuonWTopDiTT") +WTopDiTTHist_deltaPhiMetJetLeading.SetDirectory(0) +WTopDiTTHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TTto2L2Nu_2022EE']) +WTopDiTTHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TTtoLNu2Q_2022EE']) +WTopDiTTHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['TTto4Q_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTT'] = WTopDiTTHist_deltaPhiMetJetLeading + +WTopDiTTDYHist_deltaPhiMetJetLeading = WTopDiTTHist_deltaPhiMetJetLeading.Clone("diMuonWTopDiTTDY") +WTopDiTTDYHist_deltaPhiMetJetLeading.SetDirectory(0) +WTopDiTTDYHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['Zto2Nu_4Jets_HT100to200_2022EE']) +WTopDiTTDYHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['Zto2Nu_4Jets_HT200to400_2022EE']) +WTopDiTTDYHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['Zto2Nu_4Jets_HT400to800_2022EE']) +WTopDiTTDYHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['Zto2Nu_4Jets_HT800to1500_2022EE']) +WTopDiTTDYHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['Zto2Nu_4Jets_HT1500to2500_2022EE']) +WTopDiTTDYHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['Zto2Nu_4Jets_HT2500_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDY'] = WTopDiTTDYHist_deltaPhiMetJetLeading + +WTopDiTTDYZNNHist_deltaPhiMetJetLeading = WTopDiTTDYHist_deltaPhiMetJetLeading.Clone("diMuonWTopDiTTDYZNN") +WTopDiTTDYZNNHist_deltaPhiMetJetLeading.SetDirectory(0) +WTopDiTTDYZNNHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['WToLNu_4Jets_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNN'] = WTopDiTTDYZNNHist_deltaPhiMetJetLeading + +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading = WTopDiTTDYZNNHist_deltaPhiMetJetLeading.Clone("diMuonWTopDiTTDYZNNQCD") +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.SetDirectory(0) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT15to30_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT30to50_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT50to80_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT80to120_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT120to170_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT170to300_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT300to470_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT470to600_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT600to800_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT800to1000_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT1000to1400_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT1400to1800_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT1800to2400_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT2400to3200_2022EE']) +WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Add(deltaPhiMetJetLeadingHists['QCD_PT3200_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'] = WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading + +errorHist_deltaPhiMetJetLeading = WTopDiTTDYZNNQCDHist_deltaPhiMetJetLeading.Clone("error_diMuonWTopDiTTDYZNNQCD") +errorHist_deltaPhiMetJetLeading.SetDirectory(0) + +# DataHist_deltaPhiMetJetLeading = deltaPhiMetJetLeadingHists['Muon_2022F'].Clone("DataHist_deltaPhiMetJetLeading") +# DataHist_deltaPhiMetJetLeading.SetDirectory(0) + +# errorHist_deltaPhiMetJetLeading.Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['W'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['WTop'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['WTopDi'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['WTopDiTT'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['WTopDiTTDY'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNN'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].Scale((DataHist_deltaPhiMetJetLeading.GetMaximum())/(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) + +deltaPhiMetJetLeadingStackedHists['W'].SetFillColor(colors['Diboson2022EE']) +deltaPhiMetJetLeadingStackedHists['WTop'].SetFillColor(colors['SingleTop2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDi'].SetFillColor(colors['DYJetsToLL_M50_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTT'].SetFillColor(colors['TT2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDY'].SetFillColor(colors['ZJetsToNuNu2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNN'].SetFillColor(colors['WToLNu_4Jets_2022EE']) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].SetFillColor(colors['QCD2022EE']) +errorHist_deltaPhiMetJetLeading.SetFillColor(1) +errorHist_deltaPhiMetJetLeading.SetFillStyle(3001) + +deltaPhiMetJetLeadingStackedHists['W'].SetLineColor(1) +deltaPhiMetJetLeadingStackedHists['WTop'].SetLineColor(1) +deltaPhiMetJetLeadingStackedHists['WTopDi'].SetLineColor(1) +deltaPhiMetJetLeadingStackedHists['WTopDiTT'].SetLineColor(1) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDY'].SetLineColor(1) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNN'].SetLineColor(1) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].SetLineColor(1) +errorHist_deltaPhiMetJetLeading.SetLineColor(1) + +# DataHist_deltaPhiMetJetLeading.SetMarkerStyle(20) +# DataHist_deltaPhiMetJetLeading.SetLineColor(1) + +Legend_deltaPhiMetJetLeading = TLegend(0.63,0.66,0.93,0.86) +Legend_deltaPhiMetJetLeading.SetBorderSize(0) +Legend_deltaPhiMetJetLeading.SetFillColor(0) +Legend_deltaPhiMetJetLeading.SetFillStyle(0) +Legend_deltaPhiMetJetLeading.SetTextSize(0.03) +Legend_deltaPhiMetJetLeading.SetTextFont(42) +# Legend_deltaPhiMetJetLeading.AddEntry(DataHist_deltaPhiMetJetLeading,"Muon 2022F data","P") +Legend_deltaPhiMetJetLeading.AddEntry(errorHist_deltaPhiMetJetLeading,"stat. errors","F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'],labels['QCD2022EE'],"F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNN'],labels['WToLNu_4Jets_2022EE'],"F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['WTopDiTTDY'],labels['ZJetsToNuNu2022EE'],"F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['WTopDiTT'],labels['TT2022EE'],"F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['WTopDi'],labels['DYJetsToLL2022EE'],"F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['WTop'],labels['SingleTop2022EE'],"F") +Legend_deltaPhiMetJetLeading.AddEntry(deltaPhiMetJetLeadingStackedHists['W'],labels['Diboson2022EE'],"F") + +# Change the CMS_lumi variables (see CMS_lumi.py) +CMS_lumi.writeExtraText = 1 +CMS_lumi.extraText = "Simulation Preliminary" +CMS_lumi.lumi_sqrtS = "13.6 TeV" # used with iPeriod = 0, e.g. for simulation-only plots (default is an empty string) + +# Define position of CMS text and period of lumi to plot +iPos = 0 +if( iPos==0 ): CMS_lumi.relPosX = 0.12 +iPeriod = 0 + +Canvas_deltaPhiMetJetLeading = TCanvas("Canvas_deltaPhiMetJetLeading","Canvas_deltaPhiMetJetLeading",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas_deltaPhiMetJetLeading.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas_deltaPhiMetJetLeading.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas_deltaPhiMetJetLeading.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas_deltaPhiMetJetLeading.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +Canvas_deltaPhiMetJetLeading.SetLogy() +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].SetMinimum(0.0001) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].SetMaximum(10000000.0) +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].GetYaxis().SetTitle("Entries per bin (0.1 width)") +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].SetTitle("") +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNNQCD'].Draw("HIST") +# DataHist_deltaPhiMetJetLeading.Draw("SAME,P,E") +errorHist_deltaPhiMetJetLeading.Draw("SAME,E2") +deltaPhiMetJetLeadingStackedHists['WTopDiTTDYZNN'].Draw("SAME,HIST") +deltaPhiMetJetLeadingStackedHists['WTopDiTT'].Draw("SAME,HIST") +deltaPhiMetJetLeadingStackedHists['WTopDi'].Draw("SAME,HIST") +deltaPhiMetJetLeadingStackedHists['WTop'].Draw("SAME,HIST") +deltaPhiMetJetLeadingStackedHists['W'].Draw("SAME,HIST") +Legend_deltaPhiMetJetLeading.Draw() + +#draw the lumi text on the canvas +CMS_lumi.CMS_lumi(Canvas_deltaPhiMetJetLeading, iPeriod, iPos) +Canvas_deltaPhiMetJetLeading.Update() +Canvas_deltaPhiMetJetLeading.Print("deltaPhiMetJetLeading_ZToMuMuISR.pdf") + +dijetMaxDeltaPhiStackedHists = {} + +DiHist_dijetMaxDeltaPhi = dijetMaxDeltaPhiHists['WW_2022EE'] +DiHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['WZ_2022EE']) +DiHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['ZZ_2022EE']) +dijetMaxDeltaPhiStackedHists['W'] = DiHist_dijetMaxDeltaPhi + +WTopHist_dijetMaxDeltaPhi = DiHist_dijetMaxDeltaPhi.Clone("diMuonWTop") +WTopHist_dijetMaxDeltaPhi.SetDirectory(0) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TBbartoLplusNuBbar_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TbarBtoLminusNuB_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TQbartoLNu_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TbarQtoLNu_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TWminusto2L2Nu_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TWminustoLNu2Q_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TbarWplusto2L2Nu_2022EE']) +WTopHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TbarWplustoLNu2Q_2022EE']) +dijetMaxDeltaPhiStackedHists['WTop'] = WTopHist_dijetMaxDeltaPhi + +WTopDiHist_dijetMaxDeltaPhi = WTopHist_dijetMaxDeltaPhi.Clone("diMuonWTopDi") +WTopDiHist_dijetMaxDeltaPhi.SetDirectory(0) +WTopDiHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['DYJetsToLL_M50_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDi'] = WTopDiHist_dijetMaxDeltaPhi + +WTopDiTTHist_dijetMaxDeltaPhi = WTopDiHist_dijetMaxDeltaPhi.Clone("diMuonWTopDiTT") +WTopDiTTHist_dijetMaxDeltaPhi.SetDirectory(0) +WTopDiTTHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TTto2L2Nu_2022EE']) +WTopDiTTHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TTtoLNu2Q_2022EE']) +WTopDiTTHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['TTto4Q_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTT'] = WTopDiTTHist_dijetMaxDeltaPhi + +WTopDiTTDYHist_dijetMaxDeltaPhi = WTopDiTTHist_dijetMaxDeltaPhi.Clone("diMuonWTopDiTTDY") +WTopDiTTDYHist_dijetMaxDeltaPhi.SetDirectory(0) +WTopDiTTDYHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['Zto2Nu_4Jets_HT100to200_2022EE']) +WTopDiTTDYHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['Zto2Nu_4Jets_HT200to400_2022EE']) +WTopDiTTDYHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['Zto2Nu_4Jets_HT400to800_2022EE']) +WTopDiTTDYHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['Zto2Nu_4Jets_HT800to1500_2022EE']) +WTopDiTTDYHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['Zto2Nu_4Jets_HT1500to2500_2022EE']) +WTopDiTTDYHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['Zto2Nu_4Jets_HT2500_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTTDY'] = WTopDiTTDYHist_dijetMaxDeltaPhi + +WTopDiTTDYZNNHist_dijetMaxDeltaPhi = WTopDiTTDYHist_dijetMaxDeltaPhi.Clone("diMuonWTopDiTTDYZNN") +WTopDiTTDYZNNHist_dijetMaxDeltaPhi.SetDirectory(0) +WTopDiTTDYZNNHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['WToLNu_4Jets_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNN'] = WTopDiTTDYZNNHist_dijetMaxDeltaPhi + +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi = WTopDiTTDYZNNHist_dijetMaxDeltaPhi.Clone("diMuonWTopDiTTDYZNNQCD") +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.SetDirectory(0) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT15to30_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT30to50_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT50to80_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT80to120_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT120to170_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT170to300_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT300to470_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT470to600_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT600to800_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT800to1000_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT1000to1400_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT1400to1800_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT1800to2400_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT2400to3200_2022EE']) +WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Add(dijetMaxDeltaPhiHists['QCD_PT3200_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'] = WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi + +errorHist_dijetMaxDeltaPhi = WTopDiTTDYZNNQCDHist_dijetMaxDeltaPhi.Clone("error_diMuonWTopDiTTDYZNNQCD") +errorHist_dijetMaxDeltaPhi.SetDirectory(0) + +# DataHist_dijetMaxDeltaPhi = dijetMaxDeltaPhiHists['Muon_2022F'].Clone("DataHist_dijetMaxDeltaPhi") +# DataHist_dijetMaxDeltaPhi.SetDirectory(0) + +# errorHist_dijetMaxDeltaPhi.Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['W'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['WTop'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['WTopDi'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['WTopDiTT'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['WTopDiTTDY'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNN'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) +# dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].Scale((DataHist_dijetMaxDeltaPhi.GetMaximum())/(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetMaximum())) + +dijetMaxDeltaPhiStackedHists['W'].SetFillColor(colors['Diboson2022EE']) +dijetMaxDeltaPhiStackedHists['WTop'].SetFillColor(colors['SingleTop2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDi'].SetFillColor(colors['DYJetsToLL_M50_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTT'].SetFillColor(colors['TT2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTTDY'].SetFillColor(colors['ZJetsToNuNu2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNN'].SetFillColor(colors['WToLNu_4Jets_2022EE']) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].SetFillColor(colors['QCD2022EE']) +errorHist_dijetMaxDeltaPhi.SetFillColor(1) +errorHist_dijetMaxDeltaPhi.SetFillStyle(3001) + +dijetMaxDeltaPhiStackedHists['W'].SetLineColor(1) +dijetMaxDeltaPhiStackedHists['WTop'].SetLineColor(1) +dijetMaxDeltaPhiStackedHists['WTopDi'].SetLineColor(1) +dijetMaxDeltaPhiStackedHists['WTopDiTT'].SetLineColor(1) +dijetMaxDeltaPhiStackedHists['WTopDiTTDY'].SetLineColor(1) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNN'].SetLineColor(1) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].SetLineColor(1) +errorHist_dijetMaxDeltaPhi.SetLineColor(1) + +# DataHist_dijetMaxDeltaPhi.SetMarkerStyle(20) +# DataHist_dijetMaxDeltaPhi.SetLineColor(1) + +Legend_dijetMaxDeltaPhi = TLegend(0.63,0.66,0.93,0.86) +Legend_dijetMaxDeltaPhi.SetBorderSize(0) +Legend_dijetMaxDeltaPhi.SetFillColor(0) +Legend_dijetMaxDeltaPhi.SetFillStyle(0) +Legend_dijetMaxDeltaPhi.SetTextSize(0.03) +Legend_dijetMaxDeltaPhi.SetTextFont(42) +# Legend_dijetMaxDeltaPhi.AddEntry(DataHist_dijetMaxDeltaPhi,"Muon 2022F data","P") +Legend_dijetMaxDeltaPhi.AddEntry(errorHist_dijetMaxDeltaPhi,"stat. errors","F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'],labels['QCD2022EE'],"F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNN'],labels['WToLNu_4Jets_2022EE'],"F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['WTopDiTTDY'],labels['ZJetsToNuNu2022EE'],"F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['WTopDiTT'],labels['TT2022EE'],"F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['WTopDi'],labels['DYJetsToLL2022EE'],"F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['WTop'],labels['SingleTop2022EE'],"F") +Legend_dijetMaxDeltaPhi.AddEntry(dijetMaxDeltaPhiStackedHists['W'],labels['Diboson2022EE'],"F") + +# Change the CMS_lumi variables (see CMS_lumi.py) +CMS_lumi.writeExtraText = 1 +CMS_lumi.extraText = "Simulation Preliminary" +CMS_lumi.lumi_sqrtS = "13.6 TeV" # used with iPeriod = 0, e.g. for simulation-only plots (default is an empty string) + +# Define position of CMS text and period of lumi to plot +iPos = 0 +if( iPos==0 ): CMS_lumi.relPosX = 0.12 +iPeriod = 0 + +Canvas_dijetMaxDeltaPhi = TCanvas("Canvas_dijetMaxDeltaPhi","Canvas_dijetMaxDeltaPhi",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas_dijetMaxDeltaPhi.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas_dijetMaxDeltaPhi.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas_dijetMaxDeltaPhi.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas_dijetMaxDeltaPhi.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +Canvas_dijetMaxDeltaPhi.SetLogy() +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].SetMinimum(0.0001) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].SetMaximum(10000000.0) +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].GetYaxis().SetTitle("Entries per bin (0.1 width)") +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].SetTitle("") +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNNQCD'].Draw("HIST") +# DataHist_dijetMaxDeltaPhi.Draw("SAME,P,E") +errorHist_dijetMaxDeltaPhi.Draw("SAME,E2") +dijetMaxDeltaPhiStackedHists['WTopDiTTDYZNN'].Draw("SAME,HIST") +dijetMaxDeltaPhiStackedHists['WTopDiTT'].Draw("SAME,HIST") +dijetMaxDeltaPhiStackedHists['WTopDi'].Draw("SAME,HIST") +dijetMaxDeltaPhiStackedHists['WTop'].Draw("SAME,HIST") +dijetMaxDeltaPhiStackedHists['W'].Draw("SAME,HIST") +Legend_dijetMaxDeltaPhi.Draw() + +#draw the lumi text on the canvas +CMS_lumi.CMS_lumi(Canvas_dijetMaxDeltaPhi, iPeriod, iPos) +Canvas_dijetMaxDeltaPhi.Update() +Canvas_dijetMaxDeltaPhi.Print("dijetMaxDeltaPhi_ZToMuMuISR.pdf") + diff --git a/StandardAnalysis/macros/AN-24-155/makePUPlot.py b/StandardAnalysis/macros/AN-24-155/makePUPlot.py new file mode 100644 index 000000000..69d220cd3 --- /dev/null +++ b/StandardAnalysis/macros/AN-24-155/makePUPlot.py @@ -0,0 +1,104 @@ +from array import * +import CMS_lumi + +from OSUT3Analysis.Configuration.configurationOptions import * +from OSUT3Analysis.Configuration.histogramUtilities import * +from DisappTrks.StandardAnalysis.utilities import * + +from ROOT import TFile, gROOT, gStyle, TCanvas, TLegend, TPad + +gROOT.SetBatch() +gROOT.ProcessLine( "gErrorIgnoreLevel = 6001;") +gROOT.ProcessLine( "gPrintViaErrorHandler = kTRUE;") +gStyle.SetOptStat(0) + +inputFile = TFile("../../data/pu_disappTrks_run3.root") + +mc2022 = inputFile.Get("mc2022_22Sep2023") +mc2022.Scale(1.0/mc2022.Integral()) +mc2023 = inputFile.Get("mc2023_22Sep2023") +mc2023.Scale(1.0/mc2023.Integral()) + +data2022 = inputFile.Get("data2022") +data2022.Scale(1.0/data2022.Integral()) +data2023 = inputFile.Get("data2023") +data2023.Scale(1.0/data2023.Integral()) + +data2022.SetMarkerStyle(20) +data2022.SetLineColor(1) +data2022.SetMarkerColor(1) + +mc2022.SetLineColor(1) +mc2022.SetLineWidth(2) + +data2023.SetMarkerStyle(20) +data2023.SetLineColor(1) +data2023.SetMarkerColor(1) + +mc2023.SetLineColor(1) +mc2023.SetLineWidth(2) + +Legend2022 = TLegend(0.7,0.75,0.9,0.85) +Legend2022.SetBorderSize(0) +Legend2022.SetFillColor(0) +Legend2022.SetFillStyle(0) +Legend2022.SetTextSize(0.03) +Legend2022.AddEntry(data2022,"2022 data","P") +Legend2022.AddEntry(mc2022,"2022 MC","L") + +# Change the CMS_lumi variables (see CMS_lumi.py) +CMS_lumi.writeExtraText = 1 +CMS_lumi.extraText = "Preliminary" +CMS_lumi.lumi_sqrtS = "13.6 TeV" # used with iPeriod = 0, e.g. for simulation-only plots (default is an empty string) + +# Define position of CMS text and period of lumi to plot +iPos = 0 +if( iPos==0 ): CMS_lumi.relPosX = 0.12 +iPeriod = 0 + +Canvas2022 = TCanvas("Canvas2022","Canvas2022",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas2022.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas2022.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas2022.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas2022.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +Canvas2022.cd() +data2022.SetTitle("") +data2022.GetXaxis().SetTitle("Number of interactions") +data2022.GetYaxis().SetTitle("Number of events [arb. norm.]") +data2022.GetYaxis().SetTitleOffset(1.8) +data2022.Draw("P") +mc2022.Draw("SAME,HIST") +Legend2022.Draw() + +CMS_lumi.CMS_lumi(Canvas2022, iPeriod, iPos) +Canvas2022.Update() +Canvas2022.Print("PU2022.pdf") + +Legend2023 = TLegend(0.7,0.75,0.9,0.85) +Legend2023.SetBorderSize(0) +Legend2023.SetFillColor(0) +Legend2023.SetFillStyle(0) +Legend2023.SetTextSize(0.03) +Legend2023.AddEntry(data2023,"2023 data","P") +Legend2023.AddEntry(mc2023,"2023 MC","L") + +Canvas2023 = TCanvas("Canvas2023","Canvas2023",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas2023.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas2023.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas2023.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas2023.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +Canvas2023.cd() +data2023.SetTitle("") +data2023.GetXaxis().SetTitle("Number of interactions") +data2023.GetYaxis().SetTitle("Number of events [arb. norm.]") +data2023.GetYaxis().SetTitleOffset(1.8) +data2023.Draw("P") +mc2023.Draw("SAME,HIST") +Legend2023.Draw() + +CMS_lumi.CMS_lumi(Canvas2023, iPeriod, iPos) +Canvas2023.Update() +Canvas2023.Print("PU2023.pdf") + diff --git a/StandardAnalysis/macros/AN-24-155/makeTrigEffPlot.py b/StandardAnalysis/macros/AN-24-155/makeTrigEffPlot.py new file mode 100644 index 000000000..0c06e5ab5 --- /dev/null +++ b/StandardAnalysis/macros/AN-24-155/makeTrigEffPlot.py @@ -0,0 +1,108 @@ +from array import * +import CMS_lumi + +from OSUT3Analysis.Configuration.configurationOptions import * +from OSUT3Analysis.Configuration.histogramUtilities import * +from DisappTrks.StandardAnalysis.utilities import * + +from ROOT import TFile, gROOT, gStyle, TCanvas, TLegend, TPad + +gROOT.SetBatch() +gROOT.ProcessLine( "gErrorIgnoreLevel = 6001;") +gROOT.ProcessLine( "gPrintViaErrorHandler = kTRUE;") +gStyle.SetOptStat(0) + +inputFile = TFile("../../data/triggerEfficiencies_disappTrks_run3.root") + +mc2022 = inputFile.Get("WJetsToLNu_2022/grandOr") +mc2023 = inputFile.Get("WJetsToLNu_2023/grandOr") + +data2022 = inputFile.Get("Muon_2022/grandOr") +data2023 = inputFile.Get("Muon_2023/grandOr") + +data2022.SetMarkerStyle(20) +data2022.SetLineColor(1) +data2022.SetMarkerColor(1) + +mc2022.SetMarkerStyle(20) +mc2022.SetLineColor(4) +mc2022.SetMarkerColor(4) + +data2023.SetMarkerStyle(20) +data2023.SetLineColor(1) +data2023.SetMarkerColor(1) + +mc2023.SetMarkerStyle(20) +mc2023.SetLineColor(4) +mc2023.SetMarkerColor(4) + +Legend2022 = TLegend(0.7,0.75,0.9,0.85) +Legend2022.SetBorderSize(0) +Legend2022.SetFillColor(0) +Legend2022.SetFillStyle(0) +Legend2022.SetTextSize(0.03) +Legend2022.AddEntry(data2022,"2022 data","P") +Legend2022.AddEntry(mc2022,"W #rightarrow l#nu MC","P") + +# Change the CMS_lumi variables (see CMS_lumi.py) +CMS_lumi.writeExtraText = 1 +CMS_lumi.extraText = "Preliminary" +CMS_lumi.lumi_sqrtS = "13.6 TeV" # used with iPeriod = 0, e.g. for simulation-only plots (default is an empty string) + +# Define position of CMS text and period of lumi to plot +iPos = 0 +if( iPos==0 ): CMS_lumi.relPosX = 0.12 +iPeriod = 136 + +Canvas2022 = TCanvas("Canvas2022","Canvas2022",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas2022.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas2022.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas2022.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas2022.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +Canvas2022.cd() +Canvas2022.SetLogx() +data2022.SetTitle("") +data2022.GetXaxis().SetTitle("PF E_{T}^{miss, no #mu} [GeV]") +data2022.GetYaxis().SetTitle("Trigger Efficiency") +data2022.GetYaxis().SetTitleOffset(1.4) +data2022.GetXaxis().SetLimits(9,1000) +data2022.GetYaxis().SetRangeUser(0.0,1.4) +data2022.Draw() +mc2022.Draw("SAME,P,L") +Legend2022.Draw() + +CMS_lumi.CMS_lumi(Canvas2022, iPeriod, iPos) +Canvas2022.Update() +Canvas2022.Print("TrigEff2022.pdf") + +Legend2023 = TLegend(0.7,0.75,0.9,0.85) +Legend2023.SetBorderSize(0) +Legend2023.SetFillColor(0) +Legend2023.SetFillStyle(0) +Legend2023.SetTextSize(0.03) +Legend2023.AddEntry(data2023,"2023 data","P") +Legend2023.AddEntry(mc2023,"W #rightarrow l#nu MC","P") + +Canvas2023 = TCanvas("Canvas2023","Canvas2023",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas2023.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas2023.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas2023.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas2023.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +Canvas2023.cd() +Canvas2023.SetLogx() +data2023.SetTitle("") +data2023.GetXaxis().SetTitle("PF E_{T}^{miss, no #mu} [GeV]") +data2023.GetYaxis().SetTitle("Trigger Efficiency") +data2023.GetYaxis().SetTitleOffset(1.4) +data2023.GetXaxis().SetLimits(9,1000) +data2023.GetYaxis().SetRangeUser(0.0,1.4) +data2023.Draw() +mc2023.Draw("SAME,P,L") +Legend2023.Draw() + +CMS_lumi.CMS_lumi(Canvas2023, iPeriod, iPos) +Canvas2023.Update() +Canvas2023.Print("TrigEff2023.pdf") + diff --git a/StandardAnalysis/macros/AN-24-155/makeZToMuMuISRPlot.py b/StandardAnalysis/macros/AN-24-155/makeZToMuMuISRPlot.py new file mode 100644 index 000000000..abdf83547 --- /dev/null +++ b/StandardAnalysis/macros/AN-24-155/makeZToMuMuISRPlot.py @@ -0,0 +1,429 @@ +from array import * +import CMS_lumi + +from OSUT3Analysis.Configuration.configurationOptions import * +from OSUT3Analysis.Configuration.histogramUtilities import * +from DisappTrks.StandardAnalysis.utilities import * + +from ROOT import TFile, gROOT, gStyle, TCanvas, TLegend, TPad + +writeFile = False # Controls if user wants to make isrWeight_disappTrks_*.root file or PDF plots + +gROOT.SetBatch() +gROOT.ProcessLine( "gErrorIgnoreLevel = 6001;") +gROOT.ProcessLine( "gPrintViaErrorHandler = kTRUE;") +if not writeFile: gStyle.SetOptStat(0) + +dirs = getUser() + +mc_condor_dir = '/data/users/borzari/condor/BGMC/Run3/2022/ZtoMuMuISR_PostEE' +data_condor_dir = '/data/users/borzari/condor/BGMC/Run3/2022/ZtoMuMuISRStudy_Muon2022F' + +# Only datasets that have more than 0 entries +mcFiles = { + 'WToLNu_4Jets_2022EE' : 'hist_merged_WtoLNu_ZToMuMuISR_rebinned', + 'DYJetsToLL_M50_2022EE' : 'hist_merged_DYJetsToLL_ZToMuMuISR_rebinned', + 'WW_2022EE' : 'hist_merged_WW_ZToMuMuISR_rebinned', + 'WZ_2022EE' : 'hist_merged_WZ_ZToMuMuISR_rebinned', + 'ZZ_2022EE' : 'hist_merged_ZZ_ZToMuMuISR_rebinned', + 'TTto2L2Nu_2022EE' : 'hist_merged_TTto2L2Nu_ZToMuMuISR_rebinned', + 'TTtoLNu2Q_2022EE' : 'hist_merged_TTtoLNu2Q_ZToMuMuISR_rebinned', + 'TBbartoLplusNuBbar_2022EE' : 'hist_merged_TBbartoLplusNuBbar_ZToMuMuISR_rebinned', + 'TbarBtoLminusNuB_2022EE' : 'hist_merged_TbarBtoLminusNuB_ZToMuMuISR_rebinned', + 'TQbartoLNu_2022EE' : 'hist_merged_TQbartoLNu_ZToMuMuISR_rebinned', + 'TbarQtoLNu_2022EE' : 'hist_merged_TbarQtoLNu_ZToMuMuISR_rebinned', + 'TWminusto2L2Nu_2022EE' : 'hist_merged_TWminusto2L2Nu_ZToMuMuISR_rebinned', + 'TWminustoLNu2Q_2022EE' : 'hist_merged_TWminustoLNu2Q_ZToMuMuISR_rebinned', + 'TbarWplusto2L2Nu_2022EE' : 'hist_merged_TbarWplusto2L2Nu_ZToMuMuISR_rebinned', + 'TbarWplustoLNu2Q_2022EE' : 'hist_merged_TbarWplustoLNu2Q_ZToMuMuISR_rebinned' +} + +dataFiles = { + 'Muon_2022F' : 'Muon_2022F', +} + +nEvents = { + 'WToLNu_4Jets_2022EE' : 348442033 * 0.964, # Events in AOD * fraction of processed jobs + 'DYJetsToLL_M50_2022EE' : 94947242 * 0.971, # Events in AOD * fraction of processed jobs + 'WW_2022EE' : 53619680 * 0.986, # Events in AOD * fraction of processed jobs + 'WZ_2022EE' : 26887398 * 0.995, # Events in AOD * fraction of processed jobs + 'ZZ_2022EE' : 4043040 * 0.939, # Events in AOD * fraction of processed jobs + 'TTto2L2Nu_2022EE' : 85777130 * 0.970, # Events in AOD * fraction of processed jobs + 'TTtoLNu2Q_2022EE' : 270699232 * 0.982, # Events in AOD * fraction of processed jobs + 'TBbartoLplusNuBbar_2022EE' : 4469700 * 0.978, # Events in AOD * fraction of processed jobs + 'TbarBtoLminusNuB_2022EE' : 276266 * 0.968, # Events in AOD * fraction of processed jobs + 'TQbartoLNu_2022EE' : 32667420 * 0.984, # Events in AOD * fraction of processed jobs + 'TbarQtoLNu_2022EE' : 19537644 * 0.976, # Events in AOD * fraction of processed jobs + 'TWminusto2L2Nu_2022EE' : 8581640 * 0.989, # Events in AOD * fraction of processed jobs + 'TWminustoLNu2Q_2022EE' : 15859351 * 0.974, # Events in AOD * fraction of processed jobs + 'TbarWplusto2L2Nu_2022EE' : 8576050 * 0.977, # Events in AOD * fraction of processed jobs + 'TbarWplustoLNu2Q_2022EE' : 17273607 * 0.993 # Events in AOD * fraction of processed jobs +} + +diMuonPtHists = {} +metNoMuHists = {} + +for file in mcFiles: + diMuonPtHists[file] = getHist(mcFiles[file],mc_condor_dir,'ZtoMuMuISRStudyPlotter','Muon-muon Plots/diMuonPtWide',False) + diMuonPtHists[file].Scale(crossSections[file]/nEvents[file]) + if not writeFile: diMuonPtHists[file].Rebin(4) + metNoMuHists[file] = getHist(mcFiles[file],mc_condor_dir,'ZtoMuMuISRStudyPlotter','Met Plots/metNoMu',False) + metNoMuHists[file].Scale(crossSections[file]/nEvents[file]) + +for file in dataFiles: + diMuonPtHists[file] = getHist(dataFiles[file],data_condor_dir,'ZtoMuMuISRStudyPlotter','Muon-muon Plots/diMuonPtWide',False) + metNoMuHists[file] = getHist(dataFiles[file],data_condor_dir,'ZtoMuMuISRStudyPlotter','Met Plots/metNoMu',False) + if not writeFile: diMuonPtHists[file].Rebin(4) + +diMuonPtStackedHists = {} + +diMuonPtStackedHists['W'] = diMuonPtHists['WToLNu_4Jets_2022EE'] + +WTopHist_diMuonPt = diMuonPtHists['WToLNu_4Jets_2022EE'].Clone("diMuonWTop") +WTopHist_diMuonPt.SetDirectory(0) +WTopHist_diMuonPt.Add(diMuonPtHists['TBbartoLplusNuBbar_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarBtoLminusNuB_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TQbartoLNu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarQtoLNu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TWminusto2L2Nu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TWminustoLNu2Q_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarWplusto2L2Nu_2022EE']) +WTopHist_diMuonPt.Add(diMuonPtHists['TbarWplustoLNu2Q_2022EE']) +diMuonPtStackedHists['WTop'] = WTopHist_diMuonPt + +WTopDiHist_diMuonPt = WTopHist_diMuonPt.Clone("diMuonWTopDi") +WTopDiHist_diMuonPt.SetDirectory(0) +WTopDiHist_diMuonPt.Add(diMuonPtHists['WW_2022EE']) +WTopDiHist_diMuonPt.Add(diMuonPtHists['WZ_2022EE']) +WTopDiHist_diMuonPt.Add(diMuonPtHists['ZZ_2022EE']) +diMuonPtStackedHists['WTopDi'] = WTopDiHist_diMuonPt + +WTopDiTTHist_diMuonPt = WTopDiHist_diMuonPt.Clone("diMuonWTopDiTT") +WTopDiTTHist_diMuonPt.SetDirectory(0) +WTopDiTTHist_diMuonPt.Add(diMuonPtHists['TTto2L2Nu_2022EE']) +WTopDiTTHist_diMuonPt.Add(diMuonPtHists['TTtoLNu2Q_2022EE']) +diMuonPtStackedHists['WTopDiTT'] = WTopDiTTHist_diMuonPt + +WTopDiTTDYHist_diMuonPt = WTopDiTTHist_diMuonPt.Clone("diMuonWTopDiTTDY") +WTopDiTTDYHist_diMuonPt.SetDirectory(0) +WTopDiTTDYHist_diMuonPt.Add(diMuonPtHists['DYJetsToLL_M50_2022EE']) +diMuonPtStackedHists['WTopDiTTDY'] = WTopDiTTDYHist_diMuonPt + +# Just for plotting +QCDHist_diMuonPt = diMuonPtHists['WToLNu_4Jets_2022EE'].Clone("diMuonQCD") +QCDHist_diMuonPt.SetDirectory(0) +QCDHist_diMuonPt.SetFillColor(colors['QCD2022EE']) +QCDHist_diMuonPt.SetLineColor(1) + +ZTo2NuHist_diMuonPt = diMuonPtHists['WToLNu_4Jets_2022EE'].Clone("diMuonZTo2Nu") +ZTo2NuHist_diMuonPt.SetDirectory(0) +ZTo2NuHist_diMuonPt.SetFillColor(colors['ZJetsToNuNu2022EE']) +ZTo2NuHist_diMuonPt.SetLineColor(1) + +errorHist_diMuonPt = WTopDiTTDYHist_diMuonPt = diMuonPtStackedHists['WTopDiTTDY'].Clone("error_diMuonWTopDiTTDY") +errorHist_diMuonPt.SetDirectory(0) + +DataHist_diMuonPt = diMuonPtHists['Muon_2022F'].Clone("DataHist_diMuonPt") +DataHist_diMuonPt.SetDirectory(0) + +errorHist_diMuonPt.Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['W'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTop'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTopDi'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTopDiTT'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) +diMuonPtStackedHists['WTopDiTTDY'].Scale((DataHist_diMuonPt.GetMaximum())/(diMuonPtStackedHists['WTopDiTTDY'].GetMaximum())) + +diMuonPtStackedHists['W'].SetFillColor(colors['WToLNu_4Jets_2022EE']) +diMuonPtStackedHists['WTop'].SetFillColor(colors['SingleTop2022EE']) +diMuonPtStackedHists['WTopDi'].SetFillColor(colors['Diboson2022EE']) +diMuonPtStackedHists['WTopDiTT'].SetFillColor(colors['TT2022EE']) +diMuonPtStackedHists['WTopDiTTDY'].SetFillColor(colors['DYJetsToLL_M50_2022EE']) +errorHist_diMuonPt.SetFillColor(1) +errorHist_diMuonPt.SetFillStyle(3001) +diMuonPtStackedHists['W'].SetLineColor(1) +diMuonPtStackedHists['WTop'].SetLineColor(1) +diMuonPtStackedHists['WTopDi'].SetLineColor(1) +diMuonPtStackedHists['WTopDiTT'].SetLineColor(1) +diMuonPtStackedHists['WTopDiTTDY'].SetLineColor(1) +errorHist_diMuonPt.SetLineColor(1) + +DataHist_diMuonPt.SetMarkerStyle(20) +DataHist_diMuonPt.SetLineColor(1) + +Legend_diMuonPt = TLegend(0.7,0.65,0.9,0.9) +Legend_diMuonPt.SetBorderSize(0) +Legend_diMuonPt.SetFillColor(0) +Legend_diMuonPt.SetFillStyle(0) +Legend_diMuonPt.SetTextSize(0.03) +Legend_diMuonPt.AddEntry(DataHist_diMuonPt,"Muon 2022F data","P") +Legend_diMuonPt.AddEntry(errorHist_diMuonPt,"stat. errors","F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTopDiTTDY'],labels['DYJetsToLL2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTopDiTT'],labels['TT2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTopDi'],labels['Diboson2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['WTop'],labels['SingleTop2022EE'],"F") +Legend_diMuonPt.AddEntry(diMuonPtStackedHists['W'],labels['WToLNu_4Jets_2022EE'],"F") + +# Change the CMS_lumi variables (see CMS_lumi.py) +CMS_lumi.writeExtraText = 1 +CMS_lumi.extraText = "Preliminary" +CMS_lumi.lumi_sqrtS = "13.6 TeV" # used with iPeriod = 0, e.g. for simulation-only plots (default is an empty string) + +# Define position of CMS text and period of lumi to plot +iPos = 0 +if( iPos==0 ): CMS_lumi.relPosX = 0.12 +iPeriod = 0 + +Canvas_diMuonPt = TCanvas("Canvas_diMuonPt","Canvas_diMuonPt",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas_diMuonPt.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas_diMuonPt.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas_diMuonPt.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas_diMuonPt.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +p1_diMuonPt = TPad("p1_diMuonPt", "", 0.0, 0.20, 1.0, 1.0, 21) +p2_diMuonPt = TPad("p2_diMuonPt", "", 0.0, 0.0, 1.0, 0.205, 21) +Canvas_diMuonPt.cd() +p1_diMuonPt.SetFillColor(0) +p2_diMuonPt.SetFillColor(0) +p1_diMuonPt.SetBottomMargin(0.013) +p1_diMuonPt.SetLeftMargin(0.15) +p1_diMuonPt.SetRightMargin(0.05) +p2_diMuonPt.SetTopMargin(0.05) +p2_diMuonPt.SetBottomMargin(0.3) +p2_diMuonPt.SetLeftMargin(0.15) +p2_diMuonPt.SetRightMargin(0.05) +p1_diMuonPt.Draw() +p2_diMuonPt.Draw() +p1_diMuonPt.cd() +p1_diMuonPt.SetLogy() +diMuonPtStackedHists['WTopDiTTDY'].SetMinimum(0.0002) +diMuonPtStackedHists['WTopDiTTDY'].SetMaximum(10000000.0) +diMuonPtStackedHists['WTopDiTTDY'].SetAxisRange(0,1000,"X") +DataHist_diMuonPt.SetAxisRange(0,1000,"X") +diMuonPtStackedHists['WTopDiTTDY'].GetXaxis().SetTitle("Entries / 4 GeV") +diMuonPtStackedHists['WTopDiTTDY'].SetTitle("") +diMuonPtStackedHists['WTopDiTTDY'].Draw("HIST") +errorHist_diMuonPt.Draw("SAME,E2") +DataHist_diMuonPt.Draw("SAME,P,E") +diMuonPtStackedHists['WTopDiTT'].Draw("SAME,HIST") +diMuonPtStackedHists['WTopDi'].Draw("SAME,HIST") +diMuonPtStackedHists['WTop'].Draw("SAME,HIST") +diMuonPtStackedHists['W'].Draw("SAME,HIST") +Legend_diMuonPt.Draw() + +p2_diMuonPt.cd() +p2_diMuonPt.SetGridy() +ratio_diMuonPt = ratioHistogram(DataHist_diMuonPt,diMuonPtStackedHists['WTopDiTTDY'],addOne=True) +ratio_diMuonPt.SetMinimum(0.0) +ratio_diMuonPt.SetMaximum(2.5) +ratio_diMuonPt.GetXaxis().SetRangeUser(0,1000) +ratio_diMuonPt.SetTitle("") +ratio_diMuonPt.GetXaxis().SetTitle("p_{T}(#mu#mu) [GeV]") +ratio_diMuonPt.GetYaxis().SetTitle("Data/MC") +ratio_diMuonPt.GetXaxis().SetTitleOffset(1.12) + +if writeFile: + ratioFile = TFile.Open("isrWeight_disappTrks_run3.root","RECREATE") + ratio_diMuonPt.SetName("Muon_2022F") + ratio_diMuonPt.GetXaxis().SetRangeUser(0,932) + ratio_diMuonPt.Write() + ratioFile.Close() + +else: + ratio_diMuonPt.GetXaxis().SetTitleSize(0.12) + ratio_diMuonPt.GetXaxis().SetLabelSize(0.12) + ratio_diMuonPt.GetYaxis().SetTitleSize(0.12) + ratio_diMuonPt.GetYaxis().SetLabelSize(0.12) + ratio_diMuonPt.GetYaxis().SetTitleOffset(0.42) + ratio_diMuonPt.Draw() + +CMS_lumi.CMS_lumi(Canvas_diMuonPt, iPeriod, iPos) +Canvas_diMuonPt.Update() +Canvas_diMuonPt.Print("diMuonPt_ZToMuMuISR.pdf") + +metNoMuStackedHists = {} + +metNoMuStackedHists['W'] = metNoMuHists['WToLNu_4Jets_2022EE'] + +WTopHist_metNoMu = metNoMuHists['WToLNu_4Jets_2022EE'].Clone("metNoMuWTop") +WTopHist_metNoMu.SetDirectory(0) +WTopHist_metNoMu.Add(metNoMuHists['TBbartoLplusNuBbar_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarBtoLminusNuB_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TQbartoLNu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarQtoLNu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TWminusto2L2Nu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TWminustoLNu2Q_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarWplusto2L2Nu_2022EE']) +WTopHist_metNoMu.Add(metNoMuHists['TbarWplustoLNu2Q_2022EE']) +metNoMuStackedHists['WTop'] = WTopHist_metNoMu + +WTopDiHist_metNoMu = WTopHist_metNoMu.Clone("metNoMuWTopDi") +WTopDiHist_metNoMu.SetDirectory(0) +WTopDiHist_metNoMu.Add(metNoMuHists['WW_2022EE']) +WTopDiHist_metNoMu.Add(metNoMuHists['WZ_2022EE']) +WTopDiHist_metNoMu.Add(metNoMuHists['ZZ_2022EE']) +metNoMuStackedHists['WTopDi'] = WTopDiHist_metNoMu + +WTopDiTTHist_metNoMu = WTopDiHist_metNoMu.Clone("metNoMuWTopDiTT") +WTopDiTTHist_metNoMu.SetDirectory(0) +WTopDiTTHist_metNoMu.Add(metNoMuHists['TTto2L2Nu_2022EE']) +WTopDiTTHist_metNoMu.Add(metNoMuHists['TTtoLNu2Q_2022EE']) +metNoMuStackedHists['WTopDiTT'] = WTopDiTTHist_metNoMu + +WTopDiTTDYHist_metNoMu = WTopDiTTHist_metNoMu.Clone("metNoMuWTopDiTTDY") +WTopDiTTDYHist_metNoMu.SetDirectory(0) +WTopDiTTDYHist_metNoMu.Add(metNoMuHists['DYJetsToLL_M50_2022EE']) +metNoMuStackedHists['WTopDiTTDY'] = WTopDiTTDYHist_metNoMu + +# Just for plotting +QCDHist_metNoMu = metNoMuHists['WToLNu_4Jets_2022EE'].Clone("metNoMuQCD") +QCDHist_metNoMu.SetDirectory(0) +QCDHist_metNoMu.SetFillColor(colors['QCD2022EE']) +QCDHist_metNoMu.SetLineColor(1) + +ZTo2NuHist_metNoMu = metNoMuHists['WToLNu_4Jets_2022EE'].Clone("metNoMuZTo2Nu") +ZTo2NuHist_metNoMu.SetDirectory(0) +ZTo2NuHist_metNoMu.SetFillColor(colors['ZJetsToNuNu2022EE']) +ZTo2NuHist_metNoMu.SetLineColor(1) + +errorHist_metNoMu = WTopDiTTDYHist_metNoMu = metNoMuStackedHists['WTopDiTTDY'].Clone("error_metNoMuWTopDiTTDY") +errorHist_metNoMu.SetDirectory(0) + +DataHist_metNoMu = metNoMuHists['Muon_2022F'].Clone("DataHist_metNoMu") +DataHist_metNoMu.SetDirectory(0) + +errorHist_metNoMu.Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['W'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTop'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTopDi'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTopDiTT'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) +metNoMuStackedHists['WTopDiTTDY'].Scale((DataHist_metNoMu.GetMaximum())/(metNoMuStackedHists['WTopDiTTDY'].GetMaximum())) + +metNoMuStackedHists['W'].SetFillColor(colors['WToLNu_4Jets_2022EE']) +metNoMuStackedHists['WTop'].SetFillColor(colors['SingleTop2022EE']) +metNoMuStackedHists['WTopDi'].SetFillColor(colors['Diboson2022EE']) +metNoMuStackedHists['WTopDiTT'].SetFillColor(colors['TT2022EE']) +metNoMuStackedHists['WTopDiTTDY'].SetFillColor(colors['DYJetsToLL_M50_2022EE']) +errorHist_metNoMu.SetFillColor(1) +errorHist_metNoMu.SetFillStyle(3001) +metNoMuStackedHists['W'].SetLineColor(1) +metNoMuStackedHists['WTop'].SetLineColor(1) +metNoMuStackedHists['WTopDi'].SetLineColor(1) +metNoMuStackedHists['WTopDiTT'].SetLineColor(1) +metNoMuStackedHists['WTopDiTTDY'].SetLineColor(1) +errorHist_metNoMu.SetLineColor(1) + +DataHist_metNoMu.SetMarkerStyle(20) +DataHist_metNoMu.SetLineColor(1) + +Legend_metNoMu = TLegend(0.7,0.65,0.9,0.9) +Legend_metNoMu.SetBorderSize(0) +Legend_metNoMu.SetFillColor(0) +Legend_metNoMu.SetFillStyle(0) +Legend_metNoMu.SetTextSize(0.03) +Legend_metNoMu.AddEntry(DataHist_metNoMu,"Muon 2022F data","P") +Legend_metNoMu.AddEntry(errorHist_metNoMu,"stat. errors","F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTopDiTTDY'],labels['DYJetsToLL2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTopDiTT'],labels['TT2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTopDi'],labels['Diboson2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['WTop'],labels['SingleTop2022EE'],"F") +Legend_metNoMu.AddEntry(metNoMuStackedHists['W'],labels['WToLNu_4Jets_2022EE'],"F") +# Legend_metNoMu.AddEntry(QCDHist_metNoMu,labels['QCD2022EE'],"F") +# Legend_metNoMu.AddEntry(ZTo2NuHist_metNoMu,labels['ZJetsToNuNu2022EE'],"F") + +Canvas_metNoMu = TCanvas("Canvas_metNoMu","Canvas_metNoMu",50,50,CMS_lumi.W,CMS_lumi.H) +Canvas_metNoMu.SetLeftMargin( CMS_lumi.L/CMS_lumi.W ) +Canvas_metNoMu.SetRightMargin( CMS_lumi.R/CMS_lumi.W ) +Canvas_metNoMu.SetTopMargin( CMS_lumi.T/CMS_lumi.H ) +Canvas_metNoMu.SetBottomMargin( CMS_lumi.B/CMS_lumi.H ) + +p1_metNoMu = TPad("p1_metNoMu", "", 0.0, 0.20, 1.0, 1.0, 21) +p2_metNoMu = TPad("p2_metNoMu", "", 0.0, 0.0, 1.0, 0.205, 21) +Canvas_metNoMu.cd() +p1_metNoMu.SetFillColor(0) +p2_metNoMu.SetFillColor(0) +p1_metNoMu.SetBottomMargin(0.013) +p1_metNoMu.SetLeftMargin(0.15) +p1_metNoMu.SetRightMargin(0.05) +p2_metNoMu.SetTopMargin(0.05) +p2_metNoMu.SetBottomMargin(0.3) +p2_metNoMu.SetLeftMargin(0.15) +p2_metNoMu.SetRightMargin(0.05) +p1_metNoMu.Draw() +p2_metNoMu.Draw() +p1_metNoMu.cd() +p1_metNoMu.SetLogy() +metNoMuStackedHists['WTopDiTTDY'].SetMinimum(0.000002) +metNoMuStackedHists['WTopDiTTDY'].SetMaximum(10000000.0) +metNoMuStackedHists['WTopDiTTDY'].GetXaxis().SetRangeUser(0,950) +metNoMuStackedHists['WTopDiTTDY'].SetTitle("") +metNoMuStackedHists['WTopDiTTDY'].Draw("HIST") +errorHist_metNoMu.Draw("SAME,E2") +DataHist_metNoMu.Draw("SAME,P,E") +metNoMuStackedHists['WTopDiTT'].Draw("SAME,HIST") +metNoMuStackedHists['WTopDi'].Draw("SAME,HIST") +metNoMuStackedHists['WTop'].Draw("SAME,HIST") +metNoMuStackedHists['W'].Draw("SAME,HIST") +Legend_metNoMu.Draw() + +p2_metNoMu.cd() +p2_metNoMu.SetGridy() +ratio_metNoMu = ratioHistogram(DataHist_metNoMu,metNoMuStackedHists['WTopDiTTDY'],addOne=True) +ratio_metNoMu.SetMinimum(0.0) +ratio_metNoMu.SetMaximum(2.5) +ratio_metNoMu.GetXaxis().SetRangeUser(0,950) +ratio_metNoMu.SetTitle("") +ratio_metNoMu.GetXaxis().SetTitleSize(0.12) +ratio_metNoMu.GetXaxis().SetLabelSize(0.12) +ratio_metNoMu.GetXaxis().SetTitle("E_{T}^{miss, no #mu} [GeV]") +ratio_metNoMu.GetXaxis().SetTitleOffset(1.12) +ratio_metNoMu.GetYaxis().SetTitle("Data/MC") +ratio_metNoMu.GetYaxis().SetTitleSize(0.12) +ratio_metNoMu.GetYaxis().SetLabelSize(0.12) +ratio_metNoMu.GetYaxis().SetTitleOffset(0.42) +ratio_metNoMu.Draw() + +CMS_lumi.CMS_lumi(Canvas_metNoMu, iPeriod, iPos) +Canvas_metNoMu.Update() +Canvas_metNoMu.Print("metNoMu_ZToMuMuISR.pdf") + +auxList = [] +for key in diMuonPtStackedHists: + auxList.append(key) +for key in auxList: + del diMuonPtStackedHists[key] + +auxList = [] +for key in metNoMuStackedHists: + auxList.append(key) +for key in auxList: + del metNoMuStackedHists[key] + +auxList = [] +for key in diMuonPtHists: + auxList.append(key) +for key in auxList: + del diMuonPtHists[key] + +auxList = [] +for key in metNoMuHists: + auxList.append(key) +for key in auxList: + del metNoMuHists[key] + +del errorHist_diMuonPt +del DataHist_diMuonPt +del WTopHist_diMuonPt +del WTopDiHist_diMuonPt +del WTopDiTTHist_diMuonPt +del WTopDiTTDYHist_diMuonPt +del QCDHist_diMuonPt +del ZTo2NuHist_diMuonPt + +del errorHist_metNoMu +del DataHist_metNoMu +del WTopHist_metNoMu +del WTopDiHist_metNoMu +del WTopDiTTHist_metNoMu +del WTopDiTTDYHist_metNoMu +del QCDHist_metNoMu +del ZTo2NuHist_metNoMu diff --git a/StandardAnalysis/macros/AN-24-155/tdrstyle.py b/StandardAnalysis/macros/AN-24-155/tdrstyle.py new file mode 100644 index 000000000..0701b5254 --- /dev/null +++ b/StandardAnalysis/macros/AN-24-155/tdrstyle.py @@ -0,0 +1,153 @@ +import ROOT as rt + +def tdrGrid( gridOn): + tdrStyle.SetPadGridX(gridOn) + tdrStyle.SetPadGridY(gridOn) + +#fixOverlay: Redraws the axis +def fixOverlay(): gPad.RedrawAxis() + +def setTDRStyle(): + tdrStyle = rt.TStyle("tdrStyle","Style for P-TDR") + + #for the canvas: + tdrStyle.SetCanvasBorderMode(0) + tdrStyle.SetCanvasColor(rt.kWhite) + tdrStyle.SetCanvasDefH(600) #Height of canvas + tdrStyle.SetCanvasDefW(600) #Width of canvas + tdrStyle.SetCanvasDefX(0) #POsition on screen + tdrStyle.SetCanvasDefY(0) + + + tdrStyle.SetPadBorderMode(0) + #tdrStyle.SetPadBorderSize(Width_t size = 1) + tdrStyle.SetPadColor(rt.kWhite) + tdrStyle.SetPadGridX(False) + tdrStyle.SetPadGridY(False) + tdrStyle.SetGridColor(0) + tdrStyle.SetGridStyle(3) + tdrStyle.SetGridWidth(1) + +#For the frame: + tdrStyle.SetFrameBorderMode(0) + tdrStyle.SetFrameBorderSize(1) + tdrStyle.SetFrameFillColor(0) + tdrStyle.SetFrameFillStyle(0) + tdrStyle.SetFrameLineColor(1) + tdrStyle.SetFrameLineStyle(1) + tdrStyle.SetFrameLineWidth(1) + +#For the histo: + #tdrStyle.SetHistFillColor(1) + #tdrStyle.SetHistFillStyle(0) + tdrStyle.SetHistLineColor(1) + tdrStyle.SetHistLineStyle(0) + tdrStyle.SetHistLineWidth(1) + #tdrStyle.SetLegoInnerR(Float_t rad = 0.5) + #tdrStyle.SetNumberContours(Int_t number = 20) + + tdrStyle.SetEndErrorSize(2) + #tdrStyle.SetErrorMarker(20) + #tdrStyle.SetErrorX(0.) + + tdrStyle.SetMarkerStyle(20) + +#For the fit/function: + tdrStyle.SetOptFit(1) + tdrStyle.SetFitFormat("5.4g") + tdrStyle.SetFuncColor(2) + tdrStyle.SetFuncStyle(1) + tdrStyle.SetFuncWidth(1) + +#For the date: + tdrStyle.SetOptDate(0) + # tdrStyle.SetDateX(Float_t x = 0.01) + # tdrStyle.SetDateY(Float_t y = 0.01) + +# For the statistics box: + tdrStyle.SetOptFile(0) + tdrStyle.SetOptStat(0) # To display the mean and RMS: SetOptStat("mr") + tdrStyle.SetStatColor(rt.kWhite) + tdrStyle.SetStatFont(42) + tdrStyle.SetStatFontSize(0.025) + tdrStyle.SetStatTextColor(1) + tdrStyle.SetStatFormat("6.4g") + tdrStyle.SetStatBorderSize(1) + tdrStyle.SetStatH(0.1) + tdrStyle.SetStatW(0.15) + # tdrStyle.SetStatStyle(Style_t style = 1001) + # tdrStyle.SetStatX(Float_t x = 0) + # tdrStyle.SetStatY(Float_t y = 0) + +# Margins: + tdrStyle.SetPadTopMargin(0.05) + tdrStyle.SetPadBottomMargin(0.13) + tdrStyle.SetPadLeftMargin(0.16) + tdrStyle.SetPadRightMargin(0.02) + +# For the Global title: + + tdrStyle.SetOptTitle(0) + tdrStyle.SetTitleFont(42) + tdrStyle.SetTitleColor(1) + tdrStyle.SetTitleTextColor(1) + tdrStyle.SetTitleFillColor(10) + tdrStyle.SetTitleFontSize(0.05) + # tdrStyle.SetTitleH(0) # Set the height of the title box + # tdrStyle.SetTitleW(0) # Set the width of the title box + # tdrStyle.SetTitleX(0) # Set the position of the title box + # tdrStyle.SetTitleY(0.985) # Set the position of the title box + # tdrStyle.SetTitleStyle(Style_t style = 1001) + # tdrStyle.SetTitleBorderSize(2) + +# For the axis titles: + + tdrStyle.SetTitleColor(1, "XYZ") + tdrStyle.SetTitleFont(42, "XYZ") + tdrStyle.SetTitleSize(0.06, "XYZ") + # tdrStyle.SetTitleXSize(Float_t size = 0.02) # Another way to set the size? + # tdrStyle.SetTitleYSize(Float_t size = 0.02) + tdrStyle.SetTitleXOffset(0.9) + tdrStyle.SetTitleYOffset(1.25) + # tdrStyle.SetTitleOffset(1.1, "Y") # Another way to set the Offset + +# For the axis labels: + + tdrStyle.SetLabelColor(1, "XYZ") + tdrStyle.SetLabelFont(42, "XYZ") + tdrStyle.SetLabelOffset(0.007, "XYZ") + tdrStyle.SetLabelSize(0.05, "XYZ") + +# For the axis: + + tdrStyle.SetAxisColor(1, "XYZ") + tdrStyle.SetStripDecimals(True) + tdrStyle.SetTickLength(0.03, "XYZ") + tdrStyle.SetNdivisions(510, "XYZ") + tdrStyle.SetPadTickX(1) # To get tick marks on the opposite side of the frame + tdrStyle.SetPadTickY(1) + +# Change for log plots: + tdrStyle.SetOptLogx(0) + tdrStyle.SetOptLogy(0) + tdrStyle.SetOptLogz(0) + +# Postscript options: + tdrStyle.SetPaperSize(20.,20.) + # tdrStyle.SetLineScalePS(Float_t scale = 3) + # tdrStyle.SetLineStyleString(Int_t i, const char* text) + # tdrStyle.SetHeaderPS(const char* header) + # tdrStyle.SetTitlePS(const char* pstitle) + + # tdrStyle.SetBarOffset(Float_t baroff = 0.5) + # tdrStyle.SetBarWidth(Float_t barwidth = 0.5) + # tdrStyle.SetPaintTextFormat(const char* format = "g") + # tdrStyle.SetPalette(Int_t ncolors = 0, Int_t* colors = 0) + # tdrStyle.SetTimeOffset(Double_t toffset) + # tdrStyle.SetHistMinimumZero(kTRUE) + + tdrStyle.SetHatchesLineWidth(5) + tdrStyle.SetHatchesSpacing(0.05) + + tdrStyle.cd() + diff --git a/StandardAnalysis/plugins/DeepSetElectronVarProducer.cc b/StandardAnalysis/plugins/DeepSetElectronVarProducer.cc deleted file mode 100644 index 469875ddb..000000000 --- a/StandardAnalysis/plugins/DeepSetElectronVarProducer.cc +++ /dev/null @@ -1,1334 +0,0 @@ -#include "DisappTrks/StandardAnalysis/plugins/DeepSetElectronVarProducer.h" - -#include "MagneticField/Engine/interface/MagneticField.h" -#include "MagneticField/Records/interface/IdealMagneticFieldRecord.h" -#include "Geometry/CaloGeometry/interface/CaloSubdetectorGeometry.h" -#include "Geometry/CaloGeometry/interface/CaloCellGeometry.h" - -#include "OSUT3Analysis/AnaTools/interface/CommonUtils.h" -#include "RecoTracker/DeDx/interface/DeDxTools.h" - -#include "TLorentzVector.h" -#include "TMath.h" - -DeepSetElectronVarProducer::DeepSetElectronVarProducer(const edm::ParameterSet &cfg, const CacheData* cacheData) : - triggers_ (cfg.getParameter ("triggers")), - trigObjs_ (cfg.getParameter ("triggerObjects")), - tracks_ (cfg.getParameter ("tracks")), - genParticles_ (cfg.getParameter ("genParticles")), - met_ (cfg.getParameter ("met")), - electrons_ (cfg.getParameter ("electrons")), - muons_ (cfg.getParameter ("muons")), - taus_ (cfg.getParameter ("taus")), - pfCandidates_ (cfg.getParameter ("pfCandidates")), - vertices_ (cfg.getParameter ("vertices")), - jets_ (cfg.getParameter ("jets")), - - rhoCentralCalo_ (cfg.getParameter ("rhoCentralCalo")), - - EBRecHits_ (cfg.getParameter ("EBRecHits")), - EERecHits_ (cfg.getParameter ("EERecHits")), - ESRecHits_ (cfg.getParameter ("ESRecHits")), - HBHERecHits_ (cfg.getParameter ("HBHERecHits")), - cscSegments_ (cfg.getParameter ("CSCSegments")), - dtRecSegments_ (cfg.getParameter ("DTRecSegments")), - rpcRecHits_ (cfg.getParameter ("RPCRecHits")), - - dEdxPixel_ (cfg.getParameter ("dEdxPixel")), - dEdxStrip_ (cfg.getParameter ("dEdxStrip")), - isoTrk2dedxHitInfo_ (cfg.getParameter ("isoTrk2dedxHitInfo")), - isoTracks_ (cfg.getParameter ("isolatedTracks")), - genTracks_(cfg.getParameter ("genTracks")), - - pileupInfo_ (cfg.getParameter("pileupInfo")), - - minGenParticlePt_ (cfg.getParameter ("minGenParticlePt")), - minTrackPt_ (cfg.getParameter ("minTrackPt")), - maxRelTrackIso_ (cfg.getParameter ("maxRelTrackIso")), - - dataTakingPeriod_ (cfg.getParameter ("dataTakingPeriod")), - - EtaRange_ (cfg.getParameter ("etaRangeNearTrack")), - PhiRange_ (cfg.getParameter ("phiRangeNearTrack")), - maxHits_ (cfg.getParameter ("maxNumOfRecHits")), - inputTensorName_ (cfg.getParameter("inputTensorName")), - inputTrackTensorName_ (cfg.getParameter("inputTrackTensorName")), - outputTensorName_ (cfg.getParameter("outputTensorName")), - session_(tensorflow::createSession(cacheData->graphDef)) { - assert(dataTakingPeriod_ == "2017" || dataTakingPeriod_ == "2018"); - is2017_ = (dataTakingPeriod_ == "2017"); - - triggersToken_ = consumes (triggers_); - trigObjsToken_ = consumes > (trigObjs_); - tracksToken_ = consumes > (tracks_); - genParticlesToken_ = consumes (genParticles_); - metToken_ = consumes > (met_); - electronsToken_ = consumes > (electrons_); - muonsToken_ = consumes > (muons_); - tausToken_ = consumes > (taus_); - pfCandidatesToken_ = consumes > (pfCandidates_); - verticesToken_ = consumes > (vertices_); - jetsToken_ = consumes > (jets_); - - rhoCentralCaloToken_ = consumes (rhoCentralCalo_); - - EBRecHitsToken_ = consumes (EBRecHits_); - EERecHitsToken_ = consumes (EERecHits_); - ESRecHitsToken_ = consumes (ESRecHits_); - HBHERecHitsToken_ = consumes (HBHERecHits_); - CSCSegmentsToken_ = consumes (cscSegments_); - DTRecSegmentsToken_ = consumes (dtRecSegments_); - RPCRecHitsToken_ = consumes (rpcRecHits_); - - dEdxPixelToken_ = consumes > (dEdxPixel_); - dEdxStripToken_ = consumes > (dEdxStrip_); - isoTrk2dedxHitInfoToken_ = consumes (isoTrk2dedxHitInfo_); - isoTrackToken_ = consumes > (isoTracks_); - genTracksToken_ = consumes > (genTracks_); - pileupInfoToken_ = consumes > (pileupInfo_); - caloGeometryToken_ = esConsumes(); - cscGeometryToken_ = esConsumes(); - dtGeometryToken_ = esConsumes(); - rpcGeometryToken_ = esConsumes(); - ecalStatusToken_ = esConsumes(); - trackerTopologyToken_ = esConsumes(); - - signalTriggerNames = cfg.getParameter >("signalTriggerNames"); - metFilterNames = cfg.getParameter >("metFilterNames"); - - produces("networkScores"); - - trackInfos_.clear(); - recHitInfos_.clear(); - genParticleInfos_.clear(); - pileupZPosition_.clear(); - vertexInfos_.clear(); -} - -DeepSetElectronVarProducer::~DeepSetElectronVarProducer() -{ -} - -std::unique_ptr DeepSetElectronVarProducer::initializeGlobalCache(const edm::ParameterSet& config) { - // this method is supposed to create, initialize and return a CacheData instance - CacheData* cacheData = new CacheData(); - - // load the graph def and save it - std::string graphPath = config.getParameter("graphPath"); - cacheData->graphDef = tensorflow::loadGraphDef(graphPath); - - // set tensorflow log leven to warning - tensorflow::setLogging("2"); - - return std::unique_ptr(cacheData); -} - -void DeepSetElectronVarProducer::globalEndJob(const CacheData* cacheData) { - // reset the graphDef - if (cacheData->graphDef != nullptr) { - delete cacheData->graphDef; - } -} - -void DeepSetElectronVarProducer::fillDescriptions(edm::ConfigurationDescriptions& descriptions) { - // defining this function will lead to a *_cfi file being generated when compiling - edm::ParameterSetDescription desc; - desc.add("graphPath"); - desc.add("inputTensorName"); - desc.add("inputTrackTensorName"); - desc.add("outputTensorName"); - desc.add("triggers"), - desc.add("triggerObjects"), - desc.add("tracks"), - desc.add("genParticles"); - desc.add("met"); - desc.add("electrons"); - desc.add("muons"); - desc.add("taus"); - desc.add("pfCandidates"); - desc.add("vertices"); - desc.add("jets"); - - desc.add("rhoCentralCalo"); - - desc.add("EBRecHits"); - desc.add("EERecHits"); - desc.add("ESRecHits"); - desc.add("HBHERecHits"); - desc.add("CSCSegments"); - desc.add("DTRecSegments"); - desc.add("RPCRecHits"); - - desc.add("dEdxPixel"); - desc.add("dEdxStrip"); - desc.add("isoTrk2dedxHitInfo"); - desc.add("isolatedTracks"); - desc.add("genTracks"); - - desc.add("pileupInfo"); - - desc.add("minGenParticlePt"); - desc.add("minTrackPt"); - desc.add("maxRelTrackIso"); - - desc.add("dataTakingPeriod"); - - desc.add("etaRangeNearTrack"); - desc.add("phiRangeNearTrack"); - desc.add("maxNumOfRecHits"); - desc.add>("signalTriggerNames"); - desc.add>("metFilterNames"); - descriptions.addWithDefaultLabel(desc); -} - -void -DeepSetElectronVarProducer::produce(edm::Event &event, const edm::EventSetup &setup) -{ - // get collections, setup objects - - edm::Handle triggers; - event.getByToken (triggersToken_, triggers); - - edm::Handle > trigObjs; - event.getByToken (trigObjsToken_, trigObjs); - - edm::Handle > tracks; - event.getByToken(tracksToken_, tracks); - - edm::Handle genParticles; - event.getByToken(genParticlesToken_, genParticles); - - edm::Handle > met; - event.getByToken (metToken_, met); - - edm::Handle > electrons; - event.getByToken(electronsToken_, electrons); - - edm::Handle > muons; - event.getByToken(muonsToken_, muons); - - edm::Handle > taus; - event.getByToken(tausToken_, taus); - - edm::Handle > pfCandidates; - event.getByToken(pfCandidatesToken_, pfCandidates); - - edm::Handle > vertices; - event.getByToken(verticesToken_, vertices); - - edm::Handle > jets; - event.getByToken(jetsToken_, jets); - - edm::Handle rhoCentralCalo; - event.getByToken(rhoCentralCaloToken_, rhoCentralCalo); - - edm::Handle > dEdxStrip; - event.getByToken (dEdxStripToken_, dEdxStrip); - - edm::Handle > dEdxPixel; - event.getByToken (dEdxPixelToken_, dEdxPixel); - - edm::Handle isoTrk2dedxHitInfo; - event.getByToken(isoTrk2dedxHitInfoToken_, isoTrk2dedxHitInfo); - - edm::Handle > isoTracks; - event.getByToken (isoTrackToken_, isoTracks); - - edm::Handle > genTracks; - event.getByToken (genTracksToken_, genTracks); - - edm::Handle > pileupInfos; - event.getByToken(pileupInfoToken_, pileupInfos); - - const edm::TriggerNames &allTriggerNames = event.triggerNames(*triggers); - - getGeometries(setup); - getChannelStatusMaps(); - - // - - TVector2 metNoMuVec(met->at(0).px(), met->at(0).py()); - for(const auto &pfCandidate : *pfCandidates) { - if(abs(pfCandidate.pdgId()) != 13) continue; - TVector2 muon(pfCandidate.px(), pfCandidate.py()); - metNoMuVec += muon; - } - - metNoMu_ = metNoMuVec.Mod(); - - firesGrandOrTrigger_ = false; - passMETFilters_ = true; - - for(unsigned i = 0; i < allTriggerNames.size(); i++) { - string thisName = allTriggerNames.triggerName(i); - - for(auto name : signalTriggerNames) { - if(thisName.find(name) == 0 && triggers->accept(i)) { - firesGrandOrTrigger_ = true; - break; - } - } - - for(auto name : metFilterNames) { - if(thisName.find(name) == 0 && !triggers->accept(i)) { - passMETFilters_ = false; - break; - } - } - - if(firesGrandOrTrigger_ && !passMETFilters_) break; - } - - const reco::Vertex &pv = vertices->at(0); - nPV_ = vertices->size(); - numGoodPVs_ = countGoodPrimaryVertices(*vertices); - - vertexInfos_.clear(); - for(auto vertex : *vertices){ - VertexInfo info; - - TLorentzVector vertex_pos(vertex.x(), vertex.y(), vertex.z(), vertex.t()); - TLorentzVector vertex_err(vertex.xError(), vertex.yError(), vertex.zError(), vertex.tError()); - info.vertex = vertex_pos; - info.vertex_error = vertex_err; - info.chi2 = vertex.chi2(); - info.ndof = vertex.ndof(); - info.isValid = vertex.isValid(); - - vertexInfos_.push_back(info); - } - - eventNumber_ = event.id().event(); - lumiBlockNumber_ = event.id().luminosityBlock(); - runNumber_ = event.id().run(); - - numGoodJets_ = countGoodJets(*jets); - dijetDeltaPhiMax_ = getMaxDijetDeltaPhi(*jets); - leadingJetMetPhi_ = getLeadingJetMetPhi(*jets, met->at(0)); - - vector tagElectrons = getTagElectrons(event, *triggers, *trigObjs, pv, *electrons); - vector tagMuons = getTagMuons(event, *triggers, *trigObjs, pv, *muons); - - getTracks(tracks, pv, *jets, *electrons, *muons, *taus, tagElectrons, tagMuons, met->at(0), isoTracks, isoTrk2dedxHitInfo, dEdxStrip, dEdxPixel, genTracks); - - if(trackInfos_.size() == 0) return; // only fill tree with passing tracks - - getRecHits(event); - if(genParticles.isValid()) getGenParticles(*genParticles); - - // account for pileup in track ecalo - double caloCorr = (*rhoCentralCalo) * 2. * M_PI_2 * 0.5 * 0.5; - for(auto &info : trackInfos_) { - info.ecalo -= caloCorr; - if(info.ecalo < 0) info.ecalo = 0; - } - - // Get pileup vertex z positions - if(pileupInfos.isValid()) { - edm::View::const_iterator iterPU; - for(edm::View::const_iterator iterPU = pileupInfos->begin(); iterPU != pileupInfos->end(); iterPU++) { - // Out of time pileup is also saved -> need to require 0th bunch crossing (in time bunch crossing) - if(iterPU->getBunchCrossing() == 0){ - pileupZPosition_ = iterPU->getPU_zpositions(); - numTruePV_ = iterPU->getTrueNumInteractions(); - } - } - } - - //std::sort(recHitInfos_.begin(),recHitInfos_.end(),hitInfoOrder()); - - tensorflow::Tensor input(tensorflow::DT_FLOAT, {100,4}); - tensorflow::Tensor inputTrack(tensorflow::DT_FLOAT, {1,4}); - - auto networkScores_ = std::make_unique(); //(new std::vector ()); - std::vector v_networkScores_; - //std::unique_ptr > > networkScores_(new std::vector >()); - - for(auto &track : trackInfos_) - { - inputTrack.matrix()(0, 0) = nPV_; - inputTrack.matrix()(0, 1) = track.eta; - inputTrack.matrix()(0, 2) = track.phi; - inputTrack.matrix()(0, 3) = track.nValidPixelHits; - std::vector> recHitsNearTrack; - for (auto &hit : recHitInfos_){ - std::vector hitNearTrack; - double dEta = track.eta - hit.eta; - double dPhi = track.phi - hit.phi; - if( fabs(dPhi) > TMath::Pi() ){ - dPhi -= round(dPhi/(2* TMath::Pi()))*2*TMath::Pi(); - } - if (fabs(dEta) >= EtaRange_ or fabs(dPhi) >= PhiRange_) - { - continue; - } - int detIndex = getDetectorIndex(hit.detType); - double energy = 1; - if (detIndex != 2) - { - energy = hit.energy; - } - hitNearTrack.push_back(dEta); - hitNearTrack.push_back(dPhi); - hitNearTrack.push_back(energy); - hitNearTrack.push_back(detIndex); - - recHitsNearTrack.push_back(hitNearTrack); - std::sort(recHitsNearTrack.begin(),recHitsNearTrack.end(), - [](const std::vector& a, const std::vector& b) { - return a[2] > b[2]; - }); - - int numRecHits = recHitsNearTrack.size(); - for (int iHit = 0; iHit < min(maxHits_, numRecHits); iHit++) - { - input.matrix()(iHit, 0) = recHitsNearTrack.at(iHit)[0]; - input.matrix()(iHit, 1) = recHitsNearTrack.at(iHit)[1]; - input.matrix()(iHit, 2) = recHitsNearTrack.at(iHit)[2]; - input.matrix()(iHit, 3) = recHitsNearTrack.at(iHit)[3]; - } - if (numRecHits < maxHits_){ - for (int iHit = numRecHits; iHit < maxHits_; iHit++) - { - input.matrix()(iHit, 0) = 0; - input.matrix()(iHit, 1) = 0; - input.matrix()(iHit, 2) = 0; - input.matrix()(iHit, 3) = 0; - } - } - } - std::vector outputs; - tensorflow::run(session_, {{inputTensorName_, input},{inputTrackTensorName_, inputTrack}}, {outputTensorName_}, &outputs); - - // print the output - std::cout << " -> " << outputs[0].matrix()(0, 0) << std::endl << std::endl; - float score = outputs[0].matrix()(0,0); - v_networkScores_.push_back(score); - } - - int counter = 0; - //std::cout << "About to place score into product" << std::endl; - for(std::vector::iterator it = v_networkScores_.begin(); it != v_networkScores_.end(); it++){ - //std::cout << "Trying to place output: " << *it << std::endl; - //networkScores_->setOutput(counter, *it); - networkScores_->addOutput(*it); - //std::cout << "Added output to product: " << counter << std::endl; - counter++; - } - event.put(std::move(networkScores_), "DeepSetElectronScores"); -} - -void DeepSetElectronVarProducer::endRun(const edm::Run& Run, const edm::EventSetup& setup) { - // close the session - tensorflow::closeSession(session_); -} - -int -DeepSetElectronVarProducer::getDetectorIndex(const int detectorIndex) const -{ - if(detectorIndex == DetType::EB or detectorIndex == DetType::EE) - { - return 0; - } - else if (detectorIndex == DetType::HCAL) - { - return 1; - } - else if (detectorIndex >= DetType::CSC and detectorIndex <= DetType::RPC) - { - return 2; - } - else - { - return -1; - } - -} - -void -DeepSetElectronVarProducer::findMatchedIsolatedTrack (const edm::Handle > &isolatedTracks, edm::Ref > &matchedIsolatedTrack, double &dRToMatchedIsolatedTrack, const CandidateTrack &track) const -{ - dRToMatchedIsolatedTrack = INVALID_VALUE; - double maxDeltaR_isolatedTrackMatching_ = 0.01; - for(vector::const_iterator isoTrack = isolatedTracks->begin(); isoTrack != isolatedTracks->end(); isoTrack++) { - double dR = deltaR(*isoTrack, track); - if(maxDeltaR_isolatedTrackMatching_ >= 0.0 && dR > maxDeltaR_isolatedTrackMatching_) continue; - if(dR < dRToMatchedIsolatedTrack || dRToMatchedIsolatedTrack < 0.0) { - dRToMatchedIsolatedTrack = dR; - matchedIsolatedTrack = edm::Ref >(isolatedTracks, isoTrack - isolatedTracks->begin()); - } - } - return; -} - - -void -DeepSetElectronVarProducer::findMatchedGenTrack (const edm::Handle > &genTracks, edm::Ref > &matchedGenTrack, double &dRToMatchedGenTrack, const CandidateTrack &track) const -{ - dRToMatchedGenTrack = INVALID_VALUE; - double maxDeltaR_genTrackMatching_ = 0.01; - for(vector::const_iterator genTrack = genTracks->begin(); genTrack != genTracks->end(); genTrack++) { - double dR = deltaR(*genTrack, track); - if(maxDeltaR_genTrackMatching_ >= 0.0 && dR > maxDeltaR_genTrackMatching_) continue; - if(dR < dRToMatchedGenTrack || dRToMatchedGenTrack < 0.0) { - dRToMatchedGenTrack = dR; - matchedGenTrack = edm::Ref >(genTracks, genTrack - genTracks->begin()); - } - } - return; -} - -void -DeepSetElectronVarProducer::getGeometries(const edm::EventSetup &setup) { - caloGeometry_ = setup.getHandle(caloGeometryToken_); - if(!caloGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find CaloGeometryRecord in event!\n"; - - cscGeometry_ = setup.getHandle(cscGeometryToken_); - if(!cscGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (CSC) in event!\n"; - - dtGeometry_ = setup.getHandle(dtGeometryToken_); - if(!dtGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (DT) in event!\n"; - - rpcGeometry_ = setup.getHandle(rpcGeometryToken_); - if(!rpcGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (RPC) in event!\n"; - - ecalStatus_ = setup.getHandle(ecalStatusToken_); - //setup.get().get(ecalStatus_); - trackerTopology_ = setup.getHandle(trackerTopologyToken_); - //setup.get().get(trackerTopology_); -} - -int -DeepSetElectronVarProducer::countGoodPrimaryVertices(const vector &vertices) const -{ - int n = 0; - for(const auto &v : vertices) { - if(v.isValid() && v.ndof() >= 4 && fabs(v.z()) < 24.0 && hypot(v.x(), v.y()) < 2.0) n++; - } - return n; -} - -int -DeepSetElectronVarProducer::countGoodJets(const vector &jets) const -{ - int n = 0; - vector goodJetPhis; - - for(const auto &jet : jets) { - // let's not deal with jet smearing for now... - if(jet.pt() <= 110) continue; - if(fabs(jet.eta()) >= 2.4) continue; - if(!anatools::jetPassesTightLepVeto(jet)) continue; - - n++; - } - return n; -} - -double -DeepSetElectronVarProducer::getMaxDijetDeltaPhi(const vector &jets) const -{ - vector goodJetPhis; - for(const auto &jet : jets) { - if(jet.pt() > 30 && fabs(jet.eta()) < 4.5 && anatools::jetPassesTightLepVeto(jet)) goodJetPhis.push_back(jet.phi()); - } - - double maxDeltaPhi = -999.; - for(unsigned int i = 0; i < goodJetPhis.size(); i++) { - for(unsigned int j = 0; j < goodJetPhis.size(); j++) { - if(i == j) continue; - double dPhi = fabs(deltaPhi(goodJetPhis[i], goodJetPhis[j])); - if(dPhi > maxDeltaPhi) maxDeltaPhi = dPhi; - } - } - - return maxDeltaPhi; -} - -double -DeepSetElectronVarProducer::getLeadingJetMetPhi(const vector &jets, const pat::MET &met) const -{ - double deltaPhiMetJetLeading = 999.; - double ptJetLeading = -1; - - for(const auto &jet : jets) { - if(jet.pt() > 30 && - fabs(jet.eta()) < 4.5 && - anatools::jetPassesTightLepVeto(jet)) { - if(jet.pt() > ptJetLeading) { - ptJetLeading = jet.pt(); - deltaPhiMetJetLeading = fabs(deltaPhi(jet, met)); - } - } - } - - return deltaPhiMetJetLeading; -} - -void -DeepSetElectronVarProducer::getTracks(const edm::Handle > tracks, - const reco::Vertex &pv, - const vector &jets, - const vector &electrons, - const vector &muons, - const vector &taus, - const vector &tagElectrons, - const vector &tagMuons, - const pat::MET &met, - const edm::Handle > isoTracks, - const edm::Handle isoTrk2dedxHitInfo, - const edm::Handle > dEdxStrip, - const edm::Handle > dEdxPixel, - const edm::Handle >genTracks) -{ - trackInfos_.clear(); - - - for(const auto &track : *tracks) { - - TrackInfo info; - - //apply track pt cut - if(minTrackPt_ > 0 && track.pt() <= minTrackPt_) continue; - - info.trackIso = 0.0; - for(const auto &t : *tracks) { - if(fabs(track.dz(t.vertex())) > 3.0 * hypot(track.dzError(), t.dzError())) continue; - double dR = deltaR(track, t); - if(dR < 0.3 && dR > 1.0e-12) info.trackIso += t.pt(); - } - - // apply relative track isolation cut - if(maxRelTrackIso_ > 0 && info.trackIso / track.pt() >= maxRelTrackIso_) continue; - - info.px = track.px(); - info.py = track.py(); - info.pz = track.pz(); - info.vx = track.vx(); - info.vy = track.vy(); - info.vz = track.vz(); - info.eta = track.eta(); - info.pt = track.pt(); - info.ptError = track.ptError(); - info.phi = track.phi(); - info.charge = track.charge(); - - info.dEdxInfo.clear(); - - edm::Ref > matchedIsolatedTrack; - double dRToMatchedIsolatedTrack; - findMatchedIsolatedTrack(isoTracks, matchedIsolatedTrack, dRToMatchedIsolatedTrack, track); - - if(dRToMatchedIsolatedTrack == INVALID_VALUE) { - info.dEdxInfo.push_back(TrackDeDxInfo()); - } - else { - if(isoTrk2dedxHitInfo->contains(matchedIsolatedTrack.id())) { - const reco::DeDxHitInfo * hitInfo = (*isoTrk2dedxHitInfo)[matchedIsolatedTrack].get(); - if(hitInfo == nullptr) { - //edm::LogWarning ("disappTrks_DeDxHitInfoVarProducer") << "Encountered a null DeDxHitInfo object from a pat::IsolatedTrack? Skipping this track..."; - continue; - } - - for(unsigned int iHit = 0; iHit < hitInfo->size(); iHit++) { - bool isPixel = (hitInfo->pixelCluster(iHit) != nullptr); - bool isStrip = (hitInfo->stripCluster(iHit) != nullptr); - if(!isPixel && !isStrip) continue; // probably shouldn't happen - if(isPixel && isStrip) continue; - - //subdet Id = {1, pbx}, {2, pxf}, {3, tib}, {4, tid}, {5, tob}, {6, tec} - int subDet = hitInfo->detId(iHit).subdetId(); - if(subDet == PixelSubdetector::PixelBarrel) subDet = 1; - else if (subDet == PixelSubdetector::PixelEndcap) subDet = 2; - else if(subDet == StripSubdetector::TIB) subDet = 3; //N.B. in CMSSW_11 StripSubdetector -> SiStripSubdetector - else if (subDet == StripSubdetector::TID) subDet = 4; - else if (subDet == StripSubdetector::TOB) subDet = 5; - else if (subDet == StripSubdetector::TEC) subDet = 6; - - float norm = isPixel ? 3.61e-06 : 3.61e-06 * 265; - - info.dEdxInfo.push_back( - TrackDeDxInfo(subDet, - norm * hitInfo->charge(iHit) / hitInfo->pathlength(iHit), - isPixel ? hitInfo->pixelCluster(iHit)->size() : -1, - isPixel ? hitInfo->pixelCluster(iHit)->sizeX() : -1, - isPixel ? hitInfo->pixelCluster(iHit)->sizeY() : -1, -#if CMSSW_VERSION_CODE >= CMSSW_VERSION(12,4,0) - isStrip ? deDxTools::shapeSelection(*(hitInfo->stripCluster(iHit))) : false, -#else - isStrip ? deDxTools::shapeSelection(*(hitInfo->stripCluster(iHit))) : false, -#endif - hitInfo->pos(iHit).x(), - hitInfo->pos(iHit).y(), - hitInfo->pos(iHit).z(), - trackerTopology_->layer(hitInfo->detId(iHit)))); // gives layer within sub detector - } - } // if isoTrk in association map - else { - info.dEdxInfo.push_back(TrackDeDxInfo()); // if somehow the matched isoTrk isn't in the hitInfo? - } - } //if dRToMatchedIsoTrk != invalid - - edm::Ref > matchedGenTrack; - double dRToMatchedGenTrack; - findMatchedGenTrack(genTracks, matchedGenTrack, dRToMatchedGenTrack, track); - if(dRToMatchedGenTrack == INVALID_VALUE){ - info.dEdxPixel = -10; - info.numMeasurementsPixel = -10; - info.numSatMeasurementsPixel = -10; - info.dEdxStrip = -10; - info.numMeasurementsStrip = -10; - info.numSatMeasurementsStrip = -10; - } - else{ - const reco::DeDxData &dEdxDataPixel = (*dEdxPixel)[matchedGenTrack]; - const reco::DeDxData &dEdxDataStrip = (*dEdxStrip)[matchedGenTrack]; - - info.dEdxPixel = dEdxDataPixel.dEdx(); - info.numMeasurementsPixel = dEdxDataPixel.numberOfMeasurements(); - info.numSatMeasurementsPixel = dEdxDataPixel.numberOfSaturatedMeasurements(); - info.dEdxStrip = dEdxDataStrip.dEdx(); - info.numMeasurementsStrip = dEdxDataStrip.numberOfMeasurements(); - info.numSatMeasurementsStrip = dEdxDataStrip.numberOfSaturatedMeasurements(); - } - - - info.dRMinJet = -1; - for(const auto &jet : jets) { - if(jet.pt() > 30 && - fabs(jet.eta()) < 4.5 && - (((jet.neutralHadronEnergyFraction()<0.90 && jet.neutralEmEnergyFraction()<0.90 && (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && jet.muonEnergyFraction()<0.8) && ((fabs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || fabs(jet.eta())>2.4) && fabs(jet.eta())<=3.0) - || (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && fabs(jet.eta())>3.0))) { - double dR = deltaR(track, jet); - if(info.dRMinJet < 0 || dR < info.dRMinJet) info.dRMinJet = dR; - } - } - - bool inTOBCrack = (fabs(track.dz()) < 0.5 && fabs(M_PI_2 - track.theta()) < 1.0e-3); - bool inECALCrack = (fabs(track.eta()) >= 1.42 && fabs(track.eta()) <= 1.65); - bool inDTWheelGap = (fabs(track.eta()) >= 0.15 && fabs(track.eta()) <= 0.35); - bool inCSCTransitionRegion = (fabs(track.eta()) >= 1.55 && fabs(track.eta()) <= 1.85); - info.inGap = (inTOBCrack || inECALCrack || inDTWheelGap || inCSCTransitionRegion); - - info.dRMinBadEcalChannel = minDRBadEcalChannel(track); - - info.nValidPixelHits = track.hitPattern().numberOfValidPixelHits(); - info.nValidHits = track.hitPattern().numberOfValidHits(); - info.numberOfValidMuonHits = track.hitPattern().numberOfValidMuonHits(); - info.missingInnerHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::MISSING_INNER_HITS); - info.missingMiddleHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::TRACK_HITS); - info.missingOuterHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::MISSING_OUTER_HITS); - info.nLayersWithMeasurement = track.hitPattern().trackerLayersWithMeasurement(); - info.pixelLayersWithMeasurement = track.hitPattern().pixelLayersWithMeasurement(); - - // d0 wrt pv (2d) = (vertex - pv) cross p / |p| - info.d0 = ((track.vx() - pv.x()) * track.py() - (track.vy() - pv.y()) * track.px()) / track.pt(); - - // dz wrt pv (2d) = (v_z - pv_z) - p_z * [(vertex - pv) dot p / |p|^2] - info.dz = track.vz() - pv.z() - - ((track.vx() - pv.x()) * track.px() + (track.vy() - pv.y()) * track.py()) * track.pz() / track.pt() / track.pt(); - - info.normalizedChi2 = track.normalizedChi2(); - info.highPurityFlag = track.quality(reco::TrackBase::highPurity); - - info.deltaRToClosestElectron = -1; - for(const auto &electron : electrons) { - double thisDR = deltaR(electron, track); - if(info.deltaRToClosestElectron < 0 || thisDR < info.deltaRToClosestElectron) info.deltaRToClosestElectron = thisDR; - } - - info.deltaRToClosestMuon = -1; - for(const auto &muon : muons) { - double thisDR = deltaR(muon, track); - if(info.deltaRToClosestMuon < 0 || thisDR < info.deltaRToClosestMuon) info.deltaRToClosestMuon = thisDR; - } - - info.deltaRToClosestTauHad = -1; - for(const auto &tau : taus) { - if(tau.isTauIDAvailable("againstElectronLooseMVA5")) { - if(tau.tauID("decayModeFinding") <= 0.5 || - tau.tauID("againstElectronLooseMVA5") <= 0.5 || - tau.tauID("againstMuonLoose3") <= 0.5) { - continue; - } - } - else if(tau.isTauIDAvailable("againstElectronLooseMVA6")) { - if(tau.tauID("decayModeFinding") <= 0.5 || - tau.tauID("againstElectronLooseMVA6") <= 0.5 || - tau.tauID("againstMuonLoose3") <= 0.5) { - continue; - } - } - else { - continue; - } - - double thisDR = deltaR(tau, track); - if(info.deltaRToClosestTauHad < 0 || thisDR < info.deltaRToClosestTauHad) info.deltaRToClosestTauHad = thisDR; - } - - info.passesProbeSelection = isProbeTrack(info); - - info.deltaRToClosestTagElectron = -1; - info.deltaRToClosestTagMuon = -1; - - info.isTagProbeElectron = 0; - info.isTagProbeTauToElectron = 0; - - info.isTagProbeMuon = 0; - info.isTagProbeTauToMuon = 0; - - if(info.passesProbeSelection) { - for(const auto tag : tagElectrons) { - double thisDR = deltaR(tag, track); - if(info.deltaRToClosestTagElectron < 0 || thisDR < info.deltaRToClosestTagElectron) { - info.deltaRToClosestTagElectron = thisDR; - } - info.isTagProbeElectron |= isTagProbeElePair(track, tag); - info.isTagProbeTauToElectron |= isTagProbeTauToElePair(track, tag, met); - } - - for(const auto tag : tagMuons) { - double thisDR = deltaR(tag, track); - if(info.deltaRToClosestTagMuon < 0 || thisDR < info.deltaRToClosestTagMuon) { - info.deltaRToClosestTagMuon = thisDR; - } - info.isTagProbeMuon |= isTagProbeMuonPair(track, tag); - info.isTagProbeTauToMuon |= isTagProbeTauToMuonPair(track, tag, met); - } - } - - info.ecalo = 0; // calculated in getRecHits - - trackInfos_.push_back(info); - } - - return; -} - -void -DeepSetElectronVarProducer::getRecHits(const edm::Event &event) -{ - recHitInfos_.clear(); - - edm::Handle EBRecHits; - event.getByToken(EBRecHitsToken_, EBRecHits); - for(const auto &hit : *EBRecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::EB)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle EERecHits; - event.getByToken(EERecHitsToken_, EERecHits); - for(const auto &hit : *EERecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::EE)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle ESRecHits; - event.getByToken(ESRecHitsToken_, ESRecHits); - for(const auto &hit : *ESRecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::ES)); - } - - edm::Handle HBHERecHits; - event.getByToken(HBHERecHitsToken_, HBHERecHits); - for(const auto &hit : *HBHERecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::HCAL)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle CSCSegments; - event.getByToken(CSCSegmentsToken_, CSCSegments); - for(const auto &seg : *CSCSegments) { - vector CSCRecHits; - vector DTRecHits; - for(const auto &recHit : seg.specificRecHits()) { - int iLayer = recHit.cscDetId().layer(); - int iChamber = recHit.cscDetId().chamber(); - int iRing = recHit.cscDetId().ring(); - int iStation = recHit.cscDetId().station(); - int iEndcap = recHit.cscDetId().endcap(); - math::XYZVector recHitPos = getPosition(recHit); - CSCRecHits.push_back( - CSCRecHitInfo(recHitPos.eta(),recHitPos.phi(),recHitPos.x(),recHitPos.y(),recHitPos.z(), recHit.tpeak(), - iLayer,iChamber,iRing,iStation,iEndcap) - ); - } - math::XYZVector pos = getPosition(seg); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), -1, seg.time(), CSCRecHits, DetType::CSC)); - } - - edm::Handle DTRecSegments; - event.getByToken(DTRecSegmentsToken_, DTRecSegments); - for(const auto &seg : *DTRecSegments) { - vector CSCRecHits; - vector DTRecHits; - double time = -999.; - DTChamberId chamber = seg.chamberId(); - if(seg.hasPhi()) { - time = seg.phiSegment()->t0(); - for(const auto recHit : seg.phiSegment()->specificRecHits()){ - DTWireId wire = recHit.wireId(); - DTLayerId layer = wire.layerId(); - DTSuperLayerId superlayer = layer.superlayerId(); - math::XYZVector recHitPos = getPosition(recHit); - DTRecHits.push_back( DTRecHitInfo(recHitPos.eta(),recHitPos.phi(),recHitPos.x(),recHitPos.y(),recHitPos.z(), recHit.digiTime(), - wire.wire(), layer.layer(), superlayer.superlayer(), chamber.wheel(), chamber.station(), chamber.sector()) - ); - } - } - if(seg.hasZed()) { - time = seg.zSegment()->t0(); - for(const auto recHit : seg.zSegment()->specificRecHits()){ - DTWireId wire = recHit.wireId(); - DTLayerId layer = wire.layerId(); - DTSuperLayerId superlayer = layer.superlayerId(); - math::XYZVector recHitPos = getPosition(recHit); - DTRecHits.push_back( DTRecHitInfo(recHitPos.eta(),recHitPos.phi(),recHitPos.x(),recHitPos.y(),recHitPos.z(), recHit.digiTime(), - wire.wire(), layer.layer(), superlayer.superlayer(), chamber.wheel(), chamber.station(), chamber.sector()) - ); - } - } - math::XYZVector pos = getPosition(seg); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), -1, time, DTRecHits, DetType::DT)); - } - - edm::Handle RPCRecHits; - event.getByToken(RPCRecHitsToken_, RPCRecHits); - for(const auto &hit : *RPCRecHits) { - math::XYZVector pos = getPosition(hit); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), -1, -999., DetType::RPC)); - } - -} - -void -DeepSetElectronVarProducer::getGenParticles(const reco::CandidateView &genParticles){ - - - genParticleInfos_.clear(); - - vector cands; - vector::const_iterator found = cands.begin(); - for(reco::CandidateView::const_iterator p = genParticles.begin(); p != genParticles.end(); ++p) cands.push_back(&*p); - - for(reco::CandidateView::const_iterator p = genParticles.begin(); p != genParticles.end(); p++) { - GenParticleInfo info; - info.px = p->px(); - info.py = p->py(); - info.pz = p->pz(); - info.e = p->energy(); - - info.eta = p->eta(); - info.phi = p->phi(); - info.pt = p->pt(); - - info.vx = p->vx(); - info.vy = p->vy(); - info.vz = p->vz(); - - info.pdgId = p->pdgId(); - info.status = p->status(); - - info.mother1_index = -1; - info.mother2_index = -1; - - info.daughter1_index = -1; - info.daughter2_index = -1; - - info.nMothers = p->numberOfMothers(); - info.nDaughters = p->numberOfDaughters(); - - found = find(cands.begin(), cands.end(), p->mother(0)); - if(found != cands.end()) info.mother1_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->mother(p->numberOfMothers() - 1)); - if(found != cands.end()) info.mother2_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->daughter(0)); - if(found != cands.end()) info.daughter1_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->daughter(p->numberOfDaughters() - 1)); - if(found != cands.end()) info.daughter2_index = found - cands.begin(); - - const reco::GenParticle* gp = dynamic_cast(&*p); - - info.isPromptFinalState = gp->isPromptFinalState(); - info.isDirectPromptTauDecayProductFinalState = gp->isDirectPromptTauDecayProductFinalState(); - info.isHardProcess = gp->isHardProcess(); - info.fromHardProcessFinalState = gp->fromHardProcessFinalState(); - info.fromHardProcessBeforeFSR = gp->fromHardProcessBeforeFSR(); - info.isFirstCopy = gp->statusFlags().isFirstCopy(); - info.isLastCopy = gp->isLastCopy(); - info.isLastCopyBeforeFSR = gp->isLastCopyBeforeFSR(); - - genParticleInfos_.push_back(info); - } -} - -const math::XYZVector -DeepSetElectronVarProducer::getPosition(const DetId& id) const -{ - if(!caloGeometry_->getSubdetectorGeometry(id) || !caloGeometry_->getSubdetectorGeometry(id)->getGeometry(id) ) { - throw cms::Exception("FatalError") << "Failed to access geometry for DetId: " << id.rawId(); - return math::XYZVector(0,0,0); - } - const GlobalPoint idPosition = caloGeometry_->getSubdetectorGeometry(id)->getGeometry(id)->getPosition(); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -DeepSetElectronVarProducer::getPosition(const CSCSegment& seg) const -{ - const LocalPoint localPos = seg.localPosition(); - const CSCDetId id = seg.cscDetId(); - - const GlobalPoint idPosition = cscGeometry_->chamber(id)->toGlobal(localPos); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -DeepSetElectronVarProducer::getPosition(const CSCRecHit2D& recHit) const -{ - const LocalPoint localPos = recHit.localPosition(); - const CSCDetId id = recHit.cscDetId(); - - const GlobalPoint idPosition = cscGeometry_->chamber(id)->toGlobal(localPos); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -DeepSetElectronVarProducer::getPosition(const DTRecSegment4D& seg) const -{ - const LocalPoint segmentLocal = seg.localPosition(); - const GlobalPoint idPosition = dtGeometry_->idToDet(seg.geographicalId())->surface().toGlobal(segmentLocal); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -DeepSetElectronVarProducer::getPosition(const DTRecHit1D& recHit) const -{ - const LocalPoint localPos = recHit.localPosition(); - const GlobalPoint idPosition = dtGeometry_->idToDet(recHit.geographicalId())->surface().toGlobal(localPos); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -DeepSetElectronVarProducer::getPosition(const RPCRecHit& seg) const -{ - const RPCDetId detId = static_cast(seg.rpcId()); - const RPCRoll * roll = dynamic_cast(rpcGeometry_->roll(detId)); - const GlobalPoint idPosition = roll->toGlobal(seg.localPosition()); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -vector -DeepSetElectronVarProducer::getTagElectrons(const edm::Event &event, - const edm::TriggerResults &triggers, - const vector &trigObjs, - const reco::Vertex &vertex, - const vector &electrons) -{ - vector tagElectrons; - - for(const auto &electron : electrons) { - if(electron.pt() <= (is2017_ ? 35 : 32)) continue; - - if(!anatools::isMatchedToTriggerObject(event, - triggers, - electron, - trigObjs, - "hltEgammaCandidates::HLT", - (is2017_ ? "hltEle35noerWPTightGsfTrackIsoFilter" : "hltEle32WPTightGsfTrackIsoFilter"))) { - continue; // cutElectronMatchToTrigObj - } - - if(fabs(electron.eta()) >= 2.1) continue; - if(!electron.electronID(is2017_ ? "cutBasedElectronID-Fall17-94X-V1-tight" : "cutBasedElectronID-Fall17-94X-V2-tight")) continue; - - if(fabs(electron.superCluster()->eta()) <= 1.479) { - if(fabs(electron.gsfTrack()->dxy(vertex.position())) >= 0.05) continue; - if(fabs(electron.gsfTrack()->dz(vertex.position())) >= 0.10) continue; - } - else { - if(fabs(electron.gsfTrack()->dxy(vertex.position())) >= 0.10) continue; - if(fabs(electron.gsfTrack()->dz(vertex.position())) >= 0.20) continue; - } - - tagElectrons.push_back(electron); - } - - return tagElectrons; -} - -vector -DeepSetElectronVarProducer::getTagMuons(const edm::Event &event, - const edm::TriggerResults &triggers, - const vector &trigObjs, - const reco::Vertex &vertex, - const vector &muons) -{ - vector tagMuons; - - for(const auto &muon : muons) { - if(muon.pt() <= (is2017_ ? 29 : 26)) continue; - if(fabs(muon.eta()) >= 2.1) continue; - if(!muon.isTightMuon(vertex)) continue; - - double iso = muon.pfIsolationR04().sumNeutralHadronEt + - muon.pfIsolationR04().sumPhotonEt + - -0.5 * muon.pfIsolationR04().sumPUPt; - iso = muon.pfIsolationR04().sumChargedHadronPt + max(0.0, iso); - if(iso / muon.pt() >= 0.15) continue; - - if(!anatools::isMatchedToTriggerObject(event, - triggers, - muon, - trigObjs, - (is2017_ ? "hltIterL3MuonCandidates::HLT" : "hltHighPtTkMuonCands::HLT"), - (is2017_ ? "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07" : "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07"))) { - continue; // cutMuonMatchToTrigObj - } - - tagMuons.push_back(muon); - } - - return tagMuons; -} - -const bool -DeepSetElectronVarProducer::isProbeTrack(const TrackInfo info) const -{ - if(info.pt <= 30 || - fabs(info.eta) >= 2.1 || - // skip fiducial sElectrons - info.nValidPixelHits < 4 || - info.nValidHits < 4 || - info.missingInnerHits != 0 || - info.missingMiddleHits != 0 || - info.trackIso / info.pt >= 0.05 || - fabs(info.d0) >= 0.02 || - fabs(info.dz) >= 0.5 || - // skip lepton vetoes - fabs(info.dRMinJet) <= 0.5) { - return false; - } - - return true; -} - -const unsigned int -DeepSetElectronVarProducer::isTagProbeElePair(const CandidateTrack &probe, const pat::Electron &tag) const -{ - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.000510998928 * 0.000510998928)); // energyOfElectron() - - if(fabs((t + p).M() - 91.1876) >= 10.0) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -DeepSetElectronVarProducer::isTagProbeTauToElePair(const CandidateTrack &probe, - const pat::Electron &tag, - const pat::MET &met) const -{ - double dPhi = deltaPhi(tag.phi(), probe.phi()); - if(sqrt(2.0 * tag.pt() * probe.pt() * (1 - cos(dPhi))) >= 40) return false; // cutElectronLowMT - - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.000510998928 * 0.000510998928)); // energyOfElectron() - - double invMass = (t + p).M(); - - if(invMass <= 91.1876 - 50 || invMass >= 91.1876 - 15) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -DeepSetElectronVarProducer::isTagProbeMuonPair(const CandidateTrack &probe, const pat::Muon &tag) const -{ - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.1056583715 * 0.1056583715)); // energyOfMuon() - - if(fabs((t + p).M() - 91.1876) >= 10.0) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -DeepSetElectronVarProducer::isTagProbeTauToMuonPair(const CandidateTrack &probe, - const pat::Muon &tag, - const pat::MET &met) const -{ - double dPhi = deltaPhi(tag.phi(), probe.phi()); - if(sqrt(2.0 * tag.pt() * probe.pt() * (1 - cos(dPhi))) >= 40) return false; // cutMuonLowMT - - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.1056583715 * 0.1056583715)); // energyOfMuon() - - double invMass = (t + p).M(); - - if(invMass <= 91.1876 - 50 || invMass >= 91.1876 - 15) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const double -DeepSetElectronVarProducer::minDRBadEcalChannel(const CandidateTrack &track) const -{ - double trackEta = track.eta(), trackPhi = track.phi(); - - double min_dist = -1; - DetId min_detId; - - map >::const_iterator bitItor; - for(bitItor = EcalAllDeadChannelsBitMap_.begin(); bitItor != EcalAllDeadChannelsBitMap_.end(); bitItor++) { - DetId maskedDetId = bitItor->first; - map >::const_iterator valItor = EcalAllDeadChannelsValMap_.find(maskedDetId); - if(valItor == EcalAllDeadChannelsValMap_.end()){ - cout << "Error cannot find maskedDetId in EcalAllDeadChannelsValMap_ ?!" << endl; - continue; - } - - double eta = (valItor->second)[0], phi = (valItor->second)[1]; - double dist = reco::deltaR(eta, phi, trackEta, trackPhi); - - if(min_dist > dist || min_dist < 0) { - min_dist = dist; - min_detId = maskedDetId; - } - } - - return min_dist; -} - -void -DeepSetElectronVarProducer::getChannelStatusMaps() -{ - EcalAllDeadChannelsValMap_.clear(); - EcalAllDeadChannelsBitMap_.clear(); - - // Loop over EB ... - for(int ieta = -85; ieta <= 85; ieta++) { - for(int iphi = 0; iphi <= 360; iphi++) { - if(!EBDetId::validDetId(ieta, iphi)) continue; - - const EBDetId detid = EBDetId(ieta, iphi, EBDetId::ETAPHIMODE); - EcalChannelStatus::const_iterator chit = ecalStatus_->find(detid); - // refer https://twiki.cern.ch/twiki/bin/viewauth/CMS/EcalChannelStatus - int status = (chit != ecalStatus_->end()) ? chit->getStatusCode() & 0x1F : -1; - - const CaloSubdetectorGeometry * subGeom = caloGeometry_->getSubdetectorGeometry(detid); - auto cellGeom = subGeom->getGeometry(detid); - double eta = cellGeom->getPosition().eta(); - double phi = cellGeom->getPosition().phi(); - double theta = cellGeom->getPosition().theta(); - - if(status >= 3) { // maskedEcalChannelStatusThreshold_ - vector valVec; - vector bitVec; - - valVec.push_back(eta); - valVec.push_back(phi); - valVec.push_back(theta); - - bitVec.push_back(1); - bitVec.push_back(ieta); - bitVec.push_back(iphi); - bitVec.push_back(status); - - EcalAllDeadChannelsValMap_.insert(make_pair(detid, valVec)); - EcalAllDeadChannelsBitMap_.insert(make_pair(detid, bitVec)); - } - } // end loop iphi - } // end loop ieta - - // Loop over EE detid - for(int ix = 0; ix <= 100; ix++) { - for(int iy = 0; iy <= 100; iy++) { - for(int iz = -1; iz <= 1; iz++) { - if(iz == 0) continue; - if(!EEDetId::validDetId(ix, iy, iz)) continue; - - const EEDetId detid = EEDetId(ix, iy, iz, EEDetId::XYMODE); - EcalChannelStatus::const_iterator chit = ecalStatus_->find(detid); - int status = (chit != ecalStatus_->end()) ? chit->getStatusCode() & 0x1F : -1; - - const CaloSubdetectorGeometry * subGeom = caloGeometry_->getSubdetectorGeometry(detid); - auto cellGeom = subGeom->getGeometry(detid); - double eta = cellGeom->getPosition().eta(); - double phi = cellGeom->getPosition().phi(); - double theta = cellGeom->getPosition().theta(); - - if(status >= 3) { // maskedEcalChannelStatusThreshold_ - vector valVec; - vector bitVec; - - valVec.push_back(eta); - valVec.push_back(phi); - valVec.push_back(theta); - - bitVec.push_back(2); - bitVec.push_back(ix); - bitVec.push_back(iy); - bitVec.push_back(iz); - bitVec.push_back(status); - - EcalAllDeadChannelsValMap_.insert(make_pair(detid, valVec)); - EcalAllDeadChannelsBitMap_.insert(make_pair(detid, bitVec)); - } - } // end loop iz - } // end loop iy - } // end loop ix -} - -DEFINE_FWK_MODULE(DeepSetElectronVarProducer); diff --git a/StandardAnalysis/plugins/EventJetVarProducer.cc b/StandardAnalysis/plugins/EventJetVarProducer.cc index 135ddc76d..fd75636c9 100644 --- a/StandardAnalysis/plugins/EventJetVarProducer.cc +++ b/StandardAnalysis/plugins/EventJetVarProducer.cc @@ -41,6 +41,7 @@ class EventJetVarProducer : public EventVariableProducer { edm::EDGetTokenT > tokenMcparticles_; edm::EDGetTokenT tokenTriggerBits_; edm::EDGetTokenT > tokenMuons_; + std::string jetVetoMap_; double genGluinoMass_, genNeutralinoMass_, genCharginoMass_; @@ -59,12 +60,11 @@ class EventJetVarProducer : public EventVariableProducer { bool jetTightID (const TYPE(jets)&) const; vector triggerNames; - bool isCRAB_ = false; - }; EventJetVarProducer::EventJetVarProducer(const edm::ParameterSet &cfg) : EventVariableProducer(cfg), + jetVetoMap_ (cfg.getParameter ("jetVetoMap").fullPath()), isFirstEvent_ (true) { tokenJets_ = consumes > (collections_.getParameter ("jets")); @@ -74,10 +74,7 @@ EventJetVarProducer::EventJetVarProducer(const edm::ParameterSet &cfg) : tokenMcparticles_ = consumes > (collections_.getParameter ("hardInteractionMcparticles")); tokenTriggerBits_ = consumes(collections_.getParameter("triggers")); tokenMuons_ = consumes > (collections_.getParameter ("muons")); - triggerNames = cfg.getParameter >("triggerNames"); - isCRAB_ = cfg.getParameter("isCRAB"); - } EventJetVarProducer::~EventJetVarProducer() {} @@ -137,12 +134,13 @@ EventJetVarProducer::AddVariables (const edm::Event &event, const edm::EventSetu edm::Handle triggerBits; event.getByToken(tokenTriggerBits_, triggerBits); - string jetVetoName = ""; - if (isCRAB_) {jetVetoName = "Summer22EE_23Sep2023_RunEFG_v1.root";} - else {jetVetoName = "/data/users/mcarrigan/condor/run3Inputs/Summer22EE_23Sep2023_RunEFG_v1.root";} - TFile* f_jetVeto = TFile::Open(jetVetoName.c_str(), "read"); + TFile* f_jetVeto = TFile::Open(jetVetoMap_.c_str(), "read"); TH2D* jetVetoMap = (TH2D*)f_jetVeto->Get("jetvetomap"); + jetVetoMap->SetDirectory(0); + f_jetVeto->Close(); + delete f_jetVeto; + vector validJets; double dijetMaxDeltaPhi = -999.; // default is large negative value double deltaPhiMetJetLeading = 999.; // default is large positive value @@ -223,12 +221,12 @@ EventJetVarProducer::AddVariables (const edm::Event &event, const edm::EventSetu bool jetOpposite_hem1516 = false; bool metJet_hem1516 = false; - bool jetVeto2022 = false; + bool passJetVeto2022 = true; for (const auto &jet1 : *jets) { if (jetLooseSelection(jet1, *muons)) { if (jetVetoMap->GetBinContent(jetVetoMap->FindFixBin(jet1.eta(), jet1.phi())) > 0){ - jetVeto2022 = true; + passJetVeto2022 = false; } } if (jet1.eta() >= -3.0 && jet1.eta() <= -1.3) { @@ -238,6 +236,8 @@ EventJetVarProducer::AddVariables (const edm::Event &event, const edm::EventSetu } } + delete jetVetoMap; + findGenMasses(mcParticles); (*eventvariables)["nJets"] = validJets.size (); @@ -277,11 +277,9 @@ EventJetVarProducer::AddVariables (const edm::Event &event, const edm::EventSetu (*eventvariables)["jetInHEM1516"] = jetIn_hem1516; (*eventvariables)["jetOppositeHEM1516"] = jetOpposite_hem1516; (*eventvariables)["metJetHEM1516"] = metJet_hem1516; - (*eventvariables)["jetVeto2022"] = jetVeto2022; + (*eventvariables)["jetVeto2022"] = passJetVeto2022; isFirstEvent_ = false; - - f_jetVeto->Close(); } unsigned @@ -461,40 +459,8 @@ EventJetVarProducer::jetLooseSelection (const TYPE(jets) &jet, const vector= 0.99 ) return false; - if ( jet.neutralEmEnergyFraction() >= 0.90 ) return false; - if ( (jet.chargedMultiplicity() + jet.neutralMultiplicity()) <= 1 ) return false; - if ( jet.muonEnergyFraction() >= 0.80 ) return false; - if ( jet.chargedHadronEnergyFraction() <= 0.01 ) return false; - if ( jet.chargedMultiplicity() <= 0 ) return false; - if ( jet.chargedEmEnergyFraction() >= 0.80 ) return false; - return true; - } - else if ( (fabs(jet.eta()) > 2.6) && (fabs(jet.eta()) <= 2.7) ){ - if ( jet.neutralHadronEnergyFraction() >= 0.90 ) return false; - if ( jet.neutralEmEnergyFraction() >= 0.99 ) return false; - if ( jet.muonEnergyFraction() >= 0.80 ) return false; - if ( jet.chargedMultiplicity() <= 0 ) return false; - if ( jet.chargedEmEnergyFraction() >= 0.80 ) return false; - return true; - } - else if( (fabs(jet.eta()) > 2.7) && (fabs(jet.eta()) <= 3.0) ){ - if ( jet.neutralHadronEnergyFraction() >= 0.99 ) return false; - if ( jet.neutralEmEnergyFraction() >= 0.99 ) return false; - if ( jet.neutralMultiplicity() <= 1 ) return false; - return true; - } - else if( (fabs(jet.eta()) > 3.0) && (fabs(jet.eta()) <= 5.0) ) { - if ( jet.neutralEmEnergyFraction() >= 0.40 ) return false; - if ( jet.neutralMultiplicity() <= 10 ) return false; - return true; - } - else{ - return false; - } - + bool result = anatools::jetPassesTightLepVeto(jet); // This automatically uses the correct jet ID criteria + return result; } diff --git a/StandardAnalysis/plugins/FakeTrackVarProducer.cc b/StandardAnalysis/plugins/FakeTrackVarProducer.cc deleted file mode 100644 index 3642e0992..000000000 --- a/StandardAnalysis/plugins/FakeTrackVarProducer.cc +++ /dev/null @@ -1,1447 +0,0 @@ -#include "DisappTrks/StandardAnalysis/plugins/FakeTrackVarProducer.h" - -#include "MagneticField/Engine/interface/MagneticField.h" -#include "MagneticField/Records/interface/IdealMagneticFieldRecord.h" -#include "Geometry/CaloGeometry/interface/CaloSubdetectorGeometry.h" -#include "Geometry/CaloGeometry/interface/CaloCellGeometry.h" - -#include "OSUT3Analysis/AnaTools/interface/CommonUtils.h" -#include "RecoTracker/DeDx/interface/DeDxTools.h" - -#include "TLorentzVector.h" -#include "TMath.h" - -FakeTrackVarProducer::FakeTrackVarProducer(const edm::ParameterSet &cfg, const CacheData* cacheData) : - triggers_ (cfg.getParameter ("triggers")), - trigObjs_ (cfg.getParameter ("triggerObjects")), - tracks_ (cfg.getParameter ("tracks")), - genParticles_ (cfg.getParameter ("genParticles")), - met_ (cfg.getParameter ("met")), - electrons_ (cfg.getParameter ("electrons")), - muons_ (cfg.getParameter ("muons")), - taus_ (cfg.getParameter ("taus")), - pfCandidates_ (cfg.getParameter ("pfCandidates")), - vertices_ (cfg.getParameter ("vertices")), - jets_ (cfg.getParameter ("jets")), - - rhoCentralCalo_ (cfg.getParameter ("rhoCentralCalo")), - - EBRecHits_ (cfg.getParameter ("EBRecHits")), - EERecHits_ (cfg.getParameter ("EERecHits")), - ESRecHits_ (cfg.getParameter ("ESRecHits")), - HBHERecHits_ (cfg.getParameter ("HBHERecHits")), - cscSegments_ (cfg.getParameter ("CSCSegments")), - dtRecSegments_ (cfg.getParameter ("DTRecSegments")), - rpcRecHits_ (cfg.getParameter ("RPCRecHits")), - - dEdxPixel_ (cfg.getParameter ("dEdxPixel")), - dEdxStrip_ (cfg.getParameter ("dEdxStrip")), - isoTrk2dedxHitInfo_ (cfg.getParameter ("isoTrk2dedxHitInfo")), - isoTracks_ (cfg.getParameter ("isolatedTracks")), - genTracks_(cfg.getParameter ("genTracks")), - - pileupInfo_ (cfg.getParameter("pileupInfo")), - - minGenParticlePt_ (cfg.getParameter ("minGenParticlePt")), - minTrackPt_ (cfg.getParameter ("minTrackPt")), - maxRelTrackIso_ (cfg.getParameter ("maxRelTrackIso")), - - dataTakingPeriod_ (cfg.getParameter ("dataTakingPeriod")), - - EtaRange_ (cfg.getParameter ("etaRangeNearTrack")), - PhiRange_ (cfg.getParameter ("phiRangeNearTrack")), - maxHits_ (cfg.getParameter ("maxNumOfRecHits")), - inputTensorName_ (cfg.getParameter("inputTensorName")), - outputTensorName_ (cfg.getParameter("outputTensorName")), - session_(tensorflow::createSession(cacheData->graphDef)) { - assert(dataTakingPeriod_ == "2017" || dataTakingPeriod_ == "2018"); - is2017_ = (dataTakingPeriod_ == "2017"); - - triggersToken_ = consumes (triggers_); - trigObjsToken_ = consumes > (trigObjs_); - tracksToken_ = consumes > (tracks_); - genParticlesToken_ = consumes (genParticles_); - metToken_ = consumes > (met_); - electronsToken_ = consumes > (electrons_); - muonsToken_ = consumes > (muons_); - tausToken_ = consumes > (taus_); - pfCandidatesToken_ = consumes > (pfCandidates_); - verticesToken_ = consumes > (vertices_); - jetsToken_ = consumes > (jets_); - - rhoCentralCaloToken_ = consumes (rhoCentralCalo_); - - EBRecHitsToken_ = consumes (EBRecHits_); - EERecHitsToken_ = consumes (EERecHits_); - ESRecHitsToken_ = consumes (ESRecHits_); - HBHERecHitsToken_ = consumes (HBHERecHits_); - CSCSegmentsToken_ = consumes (cscSegments_); - DTRecSegmentsToken_ = consumes (dtRecSegments_); - RPCRecHitsToken_ = consumes (rpcRecHits_); - - dEdxPixelToken_ = consumes > (dEdxPixel_); - dEdxStripToken_ = consumes > (dEdxStrip_); - isoTrk2dedxHitInfoToken_ = consumes (isoTrk2dedxHitInfo_); - isoTrackToken_ = consumes > (isoTracks_); - genTracksToken_ = consumes > (genTracks_); - pileupInfoToken_ = consumes > (pileupInfo_); - caloGeometryToken_ = esConsumes(); - cscGeometryToken_ = esConsumes(); - dtGeometryToken_ = esConsumes(); - rpcGeometryToken_ = esConsumes(); - ecalStatusToken_ = esConsumes(); - trackerTopologyToken_ = esConsumes(); - - signalTriggerNames = cfg.getParameter >("signalTriggerNames"); - metFilterNames = cfg.getParameter >("metFilterNames"); - - produces("networkScores"); - - //networkScores_.clear(); - trackInfos_.clear(); - recHitInfos_.clear(); - genParticleInfos_.clear(); - pileupZPosition_.clear(); - vertexInfos_.clear(); -} - -FakeTrackVarProducer::~FakeTrackVarProducer() -{ -} - -std::unique_ptr FakeTrackVarProducer::initializeGlobalCache(const edm::ParameterSet& config) { - // this method is supposed to create, initialize and return a CacheData instance - CacheData* cacheData = new CacheData(); - - // load the graph def and save it - std::string graphPath = config.getParameter("graphPath"); - cacheData->graphDef = tensorflow::loadGraphDef(graphPath); - - // set tensorflow log leven to warning - tensorflow::setLogging("2"); - - return std::unique_ptr(cacheData); -} - -void FakeTrackVarProducer::globalEndJob(const CacheData* cacheData) { - // reset the graphDef - if (cacheData->graphDef != nullptr) { - delete cacheData->graphDef; - } -} - -void FakeTrackVarProducer::fillDescriptions(edm::ConfigurationDescriptions& descriptions) { - // defining this function will lead to a *_cfi file being generated when compiling - edm::ParameterSetDescription desc; - desc.add("graphPath"); - desc.add("inputTensorName"); - desc.add("outputTensorName"); - desc.add("triggers"), - desc.add("triggerObjects"), - desc.add("tracks"), - desc.add("genParticles"); - desc.add("met"); - desc.add("electrons"); - desc.add("muons"); - desc.add("taus"); - desc.add("pfCandidates"); - desc.add("vertices"); - desc.add("jets"); - - desc.add("rhoCentralCalo"); - - desc.add("EBRecHits"); - desc.add("EERecHits"); - desc.add("ESRecHits"); - desc.add("HBHERecHits"); - desc.add("CSCSegments"); - desc.add("DTRecSegments"); - desc.add("RPCRecHits"); - - desc.add("dEdxPixel"); - desc.add("dEdxStrip"); - desc.add("isoTrk2dedxHitInfo"); - desc.add("isolatedTracks"); - desc.add("genTracks"); - - desc.add("pileupInfo"); - - desc.add("minGenParticlePt"); - desc.add("minTrackPt"); - desc.add("maxRelTrackIso"); - - desc.add("dataTakingPeriod"); - - desc.add("etaRangeNearTrack"); - desc.add("phiRangeNearTrack"); - desc.add("maxNumOfRecHits"); - desc.add>("signalTriggerNames"); - desc.add>("metFilterNames"); - descriptions.addWithDefaultLabel(desc); -} - -void -FakeTrackVarProducer::produce(edm::Event &event, const edm::EventSetup &setup) -{ - // get collections, setup objects - - edm::Handle triggers; - event.getByToken (triggersToken_, triggers); - - edm::Handle > trigObjs; - event.getByToken (trigObjsToken_, trigObjs); - - edm::Handle > tracks; - event.getByToken(tracksToken_, tracks); - - edm::Handle genParticles; - event.getByToken(genParticlesToken_, genParticles); - - edm::Handle > met; - event.getByToken (metToken_, met); - - edm::Handle > electrons; - event.getByToken(electronsToken_, electrons); - - edm::Handle > muons; - event.getByToken(muonsToken_, muons); - - edm::Handle > taus; - event.getByToken(tausToken_, taus); - - edm::Handle > pfCandidates; - event.getByToken(pfCandidatesToken_, pfCandidates); - - edm::Handle > vertices; - event.getByToken(verticesToken_, vertices); - - edm::Handle > jets; - event.getByToken(jetsToken_, jets); - - edm::Handle rhoCentralCalo; - event.getByToken(rhoCentralCaloToken_, rhoCentralCalo); - - edm::Handle > dEdxStrip; - event.getByToken (dEdxStripToken_, dEdxStrip); - - edm::Handle > dEdxPixel; - event.getByToken (dEdxPixelToken_, dEdxPixel); - - edm::Handle isoTrk2dedxHitInfo; - event.getByToken(isoTrk2dedxHitInfoToken_, isoTrk2dedxHitInfo); - - edm::Handle > isoTracks; - event.getByToken (isoTrackToken_, isoTracks); - - edm::Handle > genTracks; - event.getByToken (genTracksToken_, genTracks); - - edm::Handle > pileupInfos; - event.getByToken(pileupInfoToken_, pileupInfos); - - const edm::TriggerNames &allTriggerNames = event.triggerNames(*triggers); - - getGeometries(setup); - getChannelStatusMaps(); - - // - - TVector2 metNoMuVec(met->at(0).px(), met->at(0).py()); - for(const auto &pfCandidate : *pfCandidates) { - if(abs(pfCandidate.pdgId()) != 13) continue; - TVector2 muon(pfCandidate.px(), pfCandidate.py()); - metNoMuVec += muon; - } - - metNoMu_ = metNoMuVec.Mod(); - - firesGrandOrTrigger_ = false; - passMETFilters_ = true; - - for(unsigned i = 0; i < allTriggerNames.size(); i++) { - string thisName = allTriggerNames.triggerName(i); - - for(auto name : signalTriggerNames) { - if(thisName.find(name) == 0 && triggers->accept(i)) { - firesGrandOrTrigger_ = true; - break; - } - } - - for(auto name : metFilterNames) { - if(thisName.find(name) == 0 && !triggers->accept(i)) { - passMETFilters_ = false; - break; - } - } - - if(firesGrandOrTrigger_ && !passMETFilters_) break; - } - - const reco::Vertex &pv = vertices->at(0); - nPV_ = vertices->size(); - numGoodPVs_ = countGoodPrimaryVertices(*vertices); - - vertexInfos_.clear(); - for(auto vertex : *vertices){ - VertexInfo info; - - TLorentzVector vertex_pos(vertex.x(), vertex.y(), vertex.z(), vertex.t()); - TLorentzVector vertex_err(vertex.xError(), vertex.yError(), vertex.zError(), vertex.tError()); - info.vertex = vertex_pos; - info.vertex_error = vertex_err; - info.chi2 = vertex.chi2(); - info.ndof = vertex.ndof(); - info.isValid = vertex.isValid(); - - vertexInfos_.push_back(info); - } - - eventNumber_ = event.id().event(); - lumiBlockNumber_ = event.id().luminosityBlock(); - runNumber_ = event.id().run(); - - numGoodJets_ = countGoodJets(*jets); - dijetDeltaPhiMax_ = getMaxDijetDeltaPhi(*jets); - leadingJetMetPhi_ = getLeadingJetMetPhi(*jets, met->at(0)); - - vector tagElectrons = getTagElectrons(event, *triggers, *trigObjs, pv, *electrons); - vector tagMuons = getTagMuons(event, *triggers, *trigObjs, pv, *muons); - - getTracks(tracks, pv, *jets, *electrons, *muons, *taus, tagElectrons, tagMuons, met->at(0), isoTracks, isoTrk2dedxHitInfo, dEdxStrip, dEdxPixel, genTracks); - - if(trackInfos_.size() == 0) return; // only fill tree with passing tracks - std::cout << "Number of tracks: " << trackInfos_.size() << "event: " << eventNumber_ << std::endl; - - getRecHits(event); - if(genParticles.isValid()) getGenParticles(*genParticles); - - // account for pileup in track ecalo - double caloCorr = (*rhoCentralCalo) * 2. * M_PI_2 * 0.5 * 0.5; - for(auto &info : trackInfos_) { - info.ecalo -= caloCorr; - if(info.ecalo < 0) info.ecalo = 0; - } - - // Get pileup vertex z positions - if(pileupInfos.isValid()) { - edm::View::const_iterator iterPU; - for(edm::View::const_iterator iterPU = pileupInfos->begin(); iterPU != pileupInfos->end(); iterPU++) { - // Out of time pileup is also saved -> need to require 0th bunch crossing (in time bunch crossing) - if(iterPU->getBunchCrossing() == 0){ - pileupZPosition_ = iterPU->getPU_zpositions(); - numTruePV_ = iterPU->getTrueNumInteractions(); - } - } - } - - //std::sort(recHitInfos_.begin(),recHitInfos_.end(),hitInfoOrder()); - - tensorflow::Tensor input(tensorflow::DT_FLOAT, {1,176}); - auto networkScores_ = std::make_unique(); //(new std::vector ()); - std::vector v_networkScores_; - - int track_num = 0; - - for(auto &track : trackInfos_) - { - - std::vector> hitMap = getHitMap(track.dEdxInfo); - std::pair maxHits = getMaxHits(track.dEdxInfo); - unsigned long encodedLayers = encodeLayers(hitMap); - std::pair, std::array> closest_vtx = getClosestVertices(vertexInfos_, track.vz, track.vx, track.vy); - - //if(maxHits.first == 0) std::cout << "test"; - //if((closest_dz.first)[0] == 0) std::cout <<"test"; - - - input.matrix()(0, 0) = nPV_; - input.matrix()(0, 1) = track.trackIso; - input.matrix()(0, 2) = track.eta; - input.matrix()(0, 3) = track.phi; - input.matrix()(0, 4) = track.nValidPixelHits; - input.matrix()(0, 5) = track.nValidHits; - input.matrix()(0, 6) = track.missingOuterHits; - input.matrix()(0, 7) = track.dEdxPixel; - input.matrix()(0, 8) = track.dEdxStrip; - input.matrix()(0, 9) = track.numMeasurementsPixel; - input.matrix()(0, 10) = track.numMeasurementsStrip; - input.matrix()(0, 11) = track.numSatMeasurementsPixel; - input.matrix()(0, 12) = track.numSatMeasurementsStrip; - input.matrix()(0, 13) = track.dRMinJet; - input.matrix()(0, 14) = track.ecalo; - input.matrix()(0, 15) = track.pt; - input.matrix()(0, 16) = track.d0; - input.matrix()(0, 17) = track.dz; - input.matrix()(0, 18) = track.charge; //need to create function to get total rec hit energy - input.matrix()(0, 19) = track.deltaRToClosestElectron; - input.matrix()(0, 20) = track.deltaRToClosestMuon; - input.matrix()(0, 21) = track.deltaRToClosestTauHad; - input.matrix()(0, 22) = track.normalizedChi2; - input.matrix()(0, 23) = maxHits.second; - input.matrix()(0, 24) = maxHits.first; - input.matrix()(0, 25) = encodedLayers; - input.matrix()(0, 26) = (closest_vtx.first)[0]; - input.matrix()(0, 27) = (closest_vtx.first)[1]; - input.matrix()(0, 28) = (closest_vtx.first)[2]; - input.matrix()(0, 29) = (closest_vtx.second)[0]; - input.matrix()(0, 30) = (closest_vtx.second)[1]; - input.matrix()(0, 31) = (closest_vtx.second)[2]; - - for(unsigned int i=0; i()(0,23+j+i*hitMap[i].size()) = hitMap[i][j]; - input.matrix()(0,32+j+i*hitMap[i].size()) = hitMap[i][j]; - } - } - - std::vector outputs; - tensorflow::run(session_, {{inputTensorName_, input}}, {outputTensorName_}, &outputs); - - std::cout << " -> " << outputs[0].matrix()(0, 0) << std::endl << std::endl; - - - float score = outputs[0].matrix()(0,0); - v_networkScores_.push_back(score); - - track_num++; - - }// end of track loop - - int counter = 0; - //std::cout << "About to place score into product" << std::endl; - for(std::vector::iterator it = v_networkScores_.begin(); it != v_networkScores_.end(); it++){ - networkScores_->addOutput(*it); - counter++; - } - - event.put(std::move(networkScores_), "networkScores"); - - -} - -void FakeTrackVarProducer::endRun(const edm::Run& Run, const edm::EventSetup& setup) { - // close the session - tensorflow::closeSession(session_); -} - -int -FakeTrackVarProducer::getDetectorIndex(const int detectorIndex) const -{ - if(detectorIndex == DetType::EB or detectorIndex == DetType::EE) - { - return 0; - } - else if (detectorIndex == DetType::HCAL) - { - return 1; - } - else if (detectorIndex >= DetType::CSC and detectorIndex <= DetType::RPC) - { - return 2; - } - else - { - return -1; - } - -} - -void -FakeTrackVarProducer::findMatchedIsolatedTrack (const edm::Handle > &isolatedTracks, edm::Ref > &matchedIsolatedTrack, double &dRToMatchedIsolatedTrack, const CandidateTrack &track) const -{ - dRToMatchedIsolatedTrack = INVALID_VALUE; - double maxDeltaR_isolatedTrackMatching_ = 0.01; - for(vector::const_iterator isoTrack = isolatedTracks->begin(); isoTrack != isolatedTracks->end(); isoTrack++) { - double dR = deltaR(*isoTrack, track); - if(maxDeltaR_isolatedTrackMatching_ >= 0.0 && dR > maxDeltaR_isolatedTrackMatching_) continue; - if(dR < dRToMatchedIsolatedTrack || dRToMatchedIsolatedTrack < 0.0) { - dRToMatchedIsolatedTrack = dR; - matchedIsolatedTrack = edm::Ref >(isolatedTracks, isoTrack - isolatedTracks->begin()); - } - } - return; -} - - -void -FakeTrackVarProducer::findMatchedGenTrack (const edm::Handle > &genTracks, edm::Ref > &matchedGenTrack, double &dRToMatchedGenTrack, const CandidateTrack &track) const -{ - dRToMatchedGenTrack = INVALID_VALUE; - double maxDeltaR_genTrackMatching_ = 0.01; - for(vector::const_iterator genTrack = genTracks->begin(); genTrack != genTracks->end(); genTrack++) { - double dR = deltaR(*genTrack, track); - if(maxDeltaR_genTrackMatching_ >= 0.0 && dR > maxDeltaR_genTrackMatching_) continue; - if(dR < dRToMatchedGenTrack || dRToMatchedGenTrack < 0.0) { - dRToMatchedGenTrack = dR; - matchedGenTrack = edm::Ref >(genTracks, genTrack - genTracks->begin()); - } - } - return; -} - -void -FakeTrackVarProducer::getGeometries(const edm::EventSetup &setup) { - caloGeometry_ = setup.getHandle(caloGeometryToken_); - if(!caloGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find CaloGeometryRecord in event!\n"; - - cscGeometry_ = setup.getHandle(cscGeometryToken_); - if(!cscGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (CSC) in event!\n"; - - dtGeometry_ = setup.getHandle(dtGeometryToken_); - if(!dtGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (DT) in event!\n"; - - rpcGeometry_ = setup.getHandle(rpcGeometryToken_); - if(!rpcGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (RPC) in event!\n"; - - ecalStatus_ = setup.getHandle(ecalStatusToken_); - trackerTopology_ = setup.getHandle(trackerTopologyToken_); - -} - -int -FakeTrackVarProducer::countGoodPrimaryVertices(const vector &vertices) const -{ - int n = 0; - for(const auto &v : vertices) { - if(v.isValid() && v.ndof() >= 4 && fabs(v.z()) < 24.0 && hypot(v.x(), v.y()) < 2.0) n++; - } - return n; -} - -int -FakeTrackVarProducer::countGoodJets(const vector &jets) const -{ - int n = 0; - vector goodJetPhis; - - for(const auto &jet : jets) { - // let's not deal with jet smearing for now... - if(jet.pt() <= 110) continue; - if(fabs(jet.eta()) >= 2.4) continue; - if(!anatools::jetPassesTightLepVeto(jet)) continue; - - n++; - } - return n; -} - -double -FakeTrackVarProducer::getMaxDijetDeltaPhi(const vector &jets) const -{ - vector goodJetPhis; - for(const auto &jet : jets) { - if(jet.pt() > 30 && fabs(jet.eta()) < 4.5 && anatools::jetPassesTightLepVeto(jet)) goodJetPhis.push_back(jet.phi()); - } - - double maxDeltaPhi = -999.; - for(unsigned int i = 0; i < goodJetPhis.size(); i++) { - for(unsigned int j = 0; j < goodJetPhis.size(); j++) { - if(i == j) continue; - double dPhi = fabs(deltaPhi(goodJetPhis[i], goodJetPhis[j])); - if(dPhi > maxDeltaPhi) maxDeltaPhi = dPhi; - } - } - - return maxDeltaPhi; -} - -double -FakeTrackVarProducer::getLeadingJetMetPhi(const vector &jets, const pat::MET &met) const -{ - double deltaPhiMetJetLeading = 999.; - double ptJetLeading = -1; - - for(const auto &jet : jets) { - if(jet.pt() > 30 && - fabs(jet.eta()) < 4.5 && - anatools::jetPassesTightLepVeto(jet)) { - if(jet.pt() > ptJetLeading) { - ptJetLeading = jet.pt(); - deltaPhiMetJetLeading = fabs(deltaPhi(jet, met)); - } - } - } - - return deltaPhiMetJetLeading; -} - -void -FakeTrackVarProducer::getTracks(const edm::Handle > tracks, - const reco::Vertex &pv, - const vector &jets, - const vector &electrons, - const vector &muons, - const vector &taus, - const vector &tagElectrons, - const vector &tagMuons, - const pat::MET &met, - const edm::Handle > isoTracks, - const edm::Handle isoTrk2dedxHitInfo, - const edm::Handle > dEdxStrip, - const edm::Handle > dEdxPixel, - const edm::Handle >genTracks) -{ - trackInfos_.clear(); - - - for(const auto &track : *tracks) { - - TrackInfo info; - - //apply track pt cut - if(minTrackPt_ > 0 && track.pt() <= minTrackPt_) continue; - - info.trackIso = 0.0; - for(const auto &t : *tracks) { - if(fabs(track.dz(t.vertex())) > 3.0 * hypot(track.dzError(), t.dzError())) continue; - double dR = deltaR(track, t); - if(dR < 0.3 && dR > 1.0e-12) info.trackIso += t.pt(); - } - - // apply relative track isolation cut - if(maxRelTrackIso_ > 0 && info.trackIso / track.pt() >= maxRelTrackIso_) continue; - - info.px = track.px(); - info.py = track.py(); - info.pz = track.pz(); - info.vx = track.vx(); - info.vy = track.vy(); - info.vz = track.vz(); - info.eta = track.eta(); - info.pt = track.pt(); - info.ptError = track.ptError(); - info.phi = track.phi(); - info.charge = track.charge(); - - info.dEdxInfo.clear(); - - edm::Ref > matchedIsolatedTrack; - double dRToMatchedIsolatedTrack; - findMatchedIsolatedTrack(isoTracks, matchedIsolatedTrack, dRToMatchedIsolatedTrack, track); - - if(dRToMatchedIsolatedTrack == INVALID_VALUE) { - info.dEdxInfo.push_back(TrackDeDxInfo()); - } - else { - if(isoTrk2dedxHitInfo->contains(matchedIsolatedTrack.id())) { - const reco::DeDxHitInfo * hitInfo = (*isoTrk2dedxHitInfo)[matchedIsolatedTrack].get(); - if(hitInfo == nullptr) { - //edm::LogWarning ("disappTrks_DeDxHitInfoVarProducer") << "Encountered a null DeDxHitInfo object from a pat::IsolatedTrack? Skipping this track..."; - continue; - } - - for(unsigned int iHit = 0; iHit < hitInfo->size(); iHit++) { - bool isPixel = (hitInfo->pixelCluster(iHit) != nullptr); - bool isStrip = (hitInfo->stripCluster(iHit) != nullptr); - if(!isPixel && !isStrip) continue; // probably shouldn't happen - if(isPixel && isStrip) continue; - - //subdet Id = {1, pbx}, {2, pxf}, {3, tib}, {4, tid}, {5, tob}, {6, tec} - int subDet = hitInfo->detId(iHit).subdetId(); - if(subDet == PixelSubdetector::PixelBarrel) subDet = 1; - else if (subDet == PixelSubdetector::PixelEndcap) subDet = 2; - else if(subDet == StripSubdetector::TIB) subDet = 3; //N.B. in CMSSW_11 StripSubdetector -> SiStripSubdetector - else if (subDet == StripSubdetector::TID) subDet = 4; - else if (subDet == StripSubdetector::TOB) subDet = 5; - else if (subDet == StripSubdetector::TEC) subDet = 6; - - float norm = isPixel ? 3.61e-06 : 3.61e-06 * 265; - - info.dEdxInfo.push_back( - TrackDeDxInfo(subDet, - norm * hitInfo->charge(iHit) / hitInfo->pathlength(iHit), - isPixel ? hitInfo->pixelCluster(iHit)->size() : -1, - isPixel ? hitInfo->pixelCluster(iHit)->sizeX() : -1, - isPixel ? hitInfo->pixelCluster(iHit)->sizeY() : -1, - isStrip ? deDxTools::shapeSelection(*(hitInfo->stripCluster(iHit))) : false, - hitInfo->pos(iHit).x(), - hitInfo->pos(iHit).y(), - hitInfo->pos(iHit).z(), - trackerTopology_->layer(hitInfo->detId(iHit)))); // gives layer within sub detector - } - } // if isoTrk in association map - else { - info.dEdxInfo.push_back(TrackDeDxInfo()); // if somehow the matched isoTrk isn't in the hitInfo? - } - } //if dRToMatchedIsoTrk != invalid - - edm::Ref > matchedGenTrack; - double dRToMatchedGenTrack; - findMatchedGenTrack(genTracks, matchedGenTrack, dRToMatchedGenTrack, track); - if(dRToMatchedGenTrack == INVALID_VALUE){ - info.dEdxPixel = -10; - info.numMeasurementsPixel = -10; - info.numSatMeasurementsPixel = -10; - info.dEdxStrip = -10; - info.numMeasurementsStrip = -10; - info.numSatMeasurementsStrip = -10; - } - else{ - const reco::DeDxData &dEdxDataPixel = (*dEdxPixel)[matchedGenTrack]; - const reco::DeDxData &dEdxDataStrip = (*dEdxStrip)[matchedGenTrack]; - - info.dEdxPixel = dEdxDataPixel.dEdx(); - info.numMeasurementsPixel = dEdxDataPixel.numberOfMeasurements(); - info.numSatMeasurementsPixel = dEdxDataPixel.numberOfSaturatedMeasurements(); - info.dEdxStrip = dEdxDataStrip.dEdx(); - info.numMeasurementsStrip = dEdxDataStrip.numberOfMeasurements(); - info.numSatMeasurementsStrip = dEdxDataStrip.numberOfSaturatedMeasurements(); - } - - - info.dRMinJet = -1; - for(const auto &jet : jets) { - if(jet.pt() > 30 && - fabs(jet.eta()) < 4.5 && - (((jet.neutralHadronEnergyFraction()<0.90 && jet.neutralEmEnergyFraction()<0.90 && (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && jet.muonEnergyFraction()<0.8) && ((fabs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || fabs(jet.eta())>2.4) && fabs(jet.eta())<=3.0) - || (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && fabs(jet.eta())>3.0))) { - double dR = deltaR(track, jet); - if(info.dRMinJet < 0 || dR < info.dRMinJet) info.dRMinJet = dR; - } - } - - bool inTOBCrack = (fabs(track.dz()) < 0.5 && fabs(M_PI_2 - track.theta()) < 1.0e-3); - bool inECALCrack = (fabs(track.eta()) >= 1.42 && fabs(track.eta()) <= 1.65); - bool inDTWheelGap = (fabs(track.eta()) >= 0.15 && fabs(track.eta()) <= 0.35); - bool inCSCTransitionRegion = (fabs(track.eta()) >= 1.55 && fabs(track.eta()) <= 1.85); - info.inGap = (inTOBCrack || inECALCrack || inDTWheelGap || inCSCTransitionRegion); - - info.dRMinBadEcalChannel = minDRBadEcalChannel(track); - - info.nValidPixelHits = track.hitPattern().numberOfValidPixelHits(); - info.nValidHits = track.hitPattern().numberOfValidHits(); - info.numberOfValidMuonHits = track.hitPattern().numberOfValidMuonHits(); - info.missingInnerHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::MISSING_INNER_HITS); - info.missingMiddleHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::TRACK_HITS); - info.missingOuterHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::MISSING_OUTER_HITS); - info.nLayersWithMeasurement = track.hitPattern().trackerLayersWithMeasurement(); - info.pixelLayersWithMeasurement = track.hitPattern().pixelLayersWithMeasurement(); - - // d0 wrt pv (2d) = (vertex - pv) cross p / |p| - info.d0 = ((track.vx() - pv.x()) * track.py() - (track.vy() - pv.y()) * track.px()) / track.pt(); - - // dz wrt pv (2d) = (v_z - pv_z) - p_z * [(vertex - pv) dot p / |p|^2] - info.dz = track.vz() - pv.z() - - ((track.vx() - pv.x()) * track.px() + (track.vy() - pv.y()) * track.py()) * track.pz() / track.pt() / track.pt(); - - info.normalizedChi2 = track.normalizedChi2(); - info.highPurityFlag = track.quality(reco::TrackBase::highPurity); - - info.deltaRToClosestElectron = -1; - for(const auto &electron : electrons) { - double thisDR = deltaR(electron, track); - if(info.deltaRToClosestElectron < 0 || thisDR < info.deltaRToClosestElectron) info.deltaRToClosestElectron = thisDR; - } - - info.deltaRToClosestMuon = -1; - for(const auto &muon : muons) { - double thisDR = deltaR(muon, track); - if(info.deltaRToClosestMuon < 0 || thisDR < info.deltaRToClosestMuon) info.deltaRToClosestMuon = thisDR; - } - - info.deltaRToClosestTauHad = -1; - for(const auto &tau : taus) { - if(tau.isTauIDAvailable("againstElectronLooseMVA5")) { - if(tau.tauID("decayModeFinding") <= 0.5 || - tau.tauID("againstElectronLooseMVA5") <= 0.5 || - tau.tauID("againstMuonLoose3") <= 0.5) { - continue; - } - } - else if(tau.isTauIDAvailable("againstElectronLooseMVA6")) { - if(tau.tauID("decayModeFinding") <= 0.5 || - tau.tauID("againstElectronLooseMVA6") <= 0.5 || - tau.tauID("againstMuonLoose3") <= 0.5) { - continue; - } - } - else { - continue; - } - - double thisDR = deltaR(tau, track); - if(info.deltaRToClosestTauHad < 0 || thisDR < info.deltaRToClosestTauHad) info.deltaRToClosestTauHad = thisDR; - } - - info.passesProbeSelection = isProbeTrack(info); - - info.deltaRToClosestTagElectron = -1; - info.deltaRToClosestTagMuon = -1; - - info.isTagProbeElectron = 0; - info.isTagProbeTauToElectron = 0; - - info.isTagProbeMuon = 0; - info.isTagProbeTauToMuon = 0; - - if(info.passesProbeSelection) { - for(const auto tag : tagElectrons) { - double thisDR = deltaR(tag, track); - if(info.deltaRToClosestTagElectron < 0 || thisDR < info.deltaRToClosestTagElectron) { - info.deltaRToClosestTagElectron = thisDR; - } - info.isTagProbeElectron |= isTagProbeElePair(track, tag); - info.isTagProbeTauToElectron |= isTagProbeTauToElePair(track, tag, met); - } - - for(const auto tag : tagMuons) { - double thisDR = deltaR(tag, track); - if(info.deltaRToClosestTagMuon < 0 || thisDR < info.deltaRToClosestTagMuon) { - info.deltaRToClosestTagMuon = thisDR; - } - info.isTagProbeMuon |= isTagProbeMuonPair(track, tag); - info.isTagProbeTauToMuon |= isTagProbeTauToMuonPair(track, tag, met); - } - } - - info.ecalo = 0; // calculated in getRecHits - - trackInfos_.push_back(info); - } - - return; -} - -void -FakeTrackVarProducer::getRecHits(const edm::Event &event) -{ - recHitInfos_.clear(); - - edm::Handle EBRecHits; - event.getByToken(EBRecHitsToken_, EBRecHits); - for(const auto &hit : *EBRecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::EB)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle EERecHits; - event.getByToken(EERecHitsToken_, EERecHits); - for(const auto &hit : *EERecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::EE)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle ESRecHits; - event.getByToken(ESRecHitsToken_, ESRecHits); - for(const auto &hit : *ESRecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::ES)); - } - - edm::Handle HBHERecHits; - event.getByToken(HBHERecHitsToken_, HBHERecHits); - for(const auto &hit : *HBHERecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::HCAL)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle CSCSegments; - event.getByToken(CSCSegmentsToken_, CSCSegments); - for(const auto &seg : *CSCSegments) { - vector CSCRecHits; - vector DTRecHits; - for(const auto &recHit : seg.specificRecHits()) { - int iLayer = recHit.cscDetId().layer(); - int iChamber = recHit.cscDetId().chamber(); - int iRing = recHit.cscDetId().ring(); - int iStation = recHit.cscDetId().station(); - int iEndcap = recHit.cscDetId().endcap(); - math::XYZVector recHitPos = getPosition(recHit); - CSCRecHits.push_back( - CSCRecHitInfo(recHitPos.eta(),recHitPos.phi(),recHitPos.x(),recHitPos.y(),recHitPos.z(), recHit.tpeak(), - iLayer,iChamber,iRing,iStation,iEndcap) - ); - } - math::XYZVector pos = getPosition(seg); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), -1, seg.time(), CSCRecHits, DetType::CSC)); - } - - edm::Handle DTRecSegments; - event.getByToken(DTRecSegmentsToken_, DTRecSegments); - for(const auto &seg : *DTRecSegments) { - vector CSCRecHits; - vector DTRecHits; - double time = -999.; - DTChamberId chamber = seg.chamberId(); - if(seg.hasPhi()) { - time = seg.phiSegment()->t0(); - for(const auto recHit : seg.phiSegment()->specificRecHits()){ - DTWireId wire = recHit.wireId(); - DTLayerId layer = wire.layerId(); - DTSuperLayerId superlayer = layer.superlayerId(); - math::XYZVector recHitPos = getPosition(recHit); - DTRecHits.push_back( DTRecHitInfo(recHitPos.eta(),recHitPos.phi(),recHitPos.x(),recHitPos.y(),recHitPos.z(), recHit.digiTime(), - wire.wire(), layer.layer(), superlayer.superlayer(), chamber.wheel(), chamber.station(), chamber.sector()) - ); - } - } - if(seg.hasZed()) { - time = seg.zSegment()->t0(); - for(const auto recHit : seg.zSegment()->specificRecHits()){ - DTWireId wire = recHit.wireId(); - DTLayerId layer = wire.layerId(); - DTSuperLayerId superlayer = layer.superlayerId(); - math::XYZVector recHitPos = getPosition(recHit); - DTRecHits.push_back( DTRecHitInfo(recHitPos.eta(),recHitPos.phi(),recHitPos.x(),recHitPos.y(),recHitPos.z(), recHit.digiTime(), - wire.wire(), layer.layer(), superlayer.superlayer(), chamber.wheel(), chamber.station(), chamber.sector()) - ); - } - } - math::XYZVector pos = getPosition(seg); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), -1, time, DTRecHits, DetType::DT)); - } - - edm::Handle RPCRecHits; - event.getByToken(RPCRecHitsToken_, RPCRecHits); - for(const auto &hit : *RPCRecHits) { - math::XYZVector pos = getPosition(hit); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), -1, -999., DetType::RPC)); - } - -} - -void -FakeTrackVarProducer::getGenParticles(const reco::CandidateView &genParticles){ - - - genParticleInfos_.clear(); - - vector cands; - vector::const_iterator found = cands.begin(); - for(reco::CandidateView::const_iterator p = genParticles.begin(); p != genParticles.end(); ++p) cands.push_back(&*p); - - for(reco::CandidateView::const_iterator p = genParticles.begin(); p != genParticles.end(); p++) { - GenParticleInfo info; - info.px = p->px(); - info.py = p->py(); - info.pz = p->pz(); - info.e = p->energy(); - - info.eta = p->eta(); - info.phi = p->phi(); - info.pt = p->pt(); - - info.vx = p->vx(); - info.vy = p->vy(); - info.vz = p->vz(); - - info.pdgId = p->pdgId(); - info.status = p->status(); - - info.mother1_index = -1; - info.mother2_index = -1; - - info.daughter1_index = -1; - info.daughter2_index = -1; - - info.nMothers = p->numberOfMothers(); - info.nDaughters = p->numberOfDaughters(); - - found = find(cands.begin(), cands.end(), p->mother(0)); - if(found != cands.end()) info.mother1_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->mother(p->numberOfMothers() - 1)); - if(found != cands.end()) info.mother2_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->daughter(0)); - if(found != cands.end()) info.daughter1_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->daughter(p->numberOfDaughters() - 1)); - if(found != cands.end()) info.daughter2_index = found - cands.begin(); - - const reco::GenParticle* gp = dynamic_cast(&*p); - - info.isPromptFinalState = gp->isPromptFinalState(); - info.isDirectPromptTauDecayProductFinalState = gp->isDirectPromptTauDecayProductFinalState(); - info.isHardProcess = gp->isHardProcess(); - info.fromHardProcessFinalState = gp->fromHardProcessFinalState(); - info.fromHardProcessBeforeFSR = gp->fromHardProcessBeforeFSR(); - info.isFirstCopy = gp->statusFlags().isFirstCopy(); - info.isLastCopy = gp->isLastCopy(); - info.isLastCopyBeforeFSR = gp->isLastCopyBeforeFSR(); - - genParticleInfos_.push_back(info); - } -} - -const math::XYZVector -FakeTrackVarProducer::getPosition(const DetId& id) const -{ - if(!caloGeometry_->getSubdetectorGeometry(id) || !caloGeometry_->getSubdetectorGeometry(id)->getGeometry(id) ) { - throw cms::Exception("FatalError") << "Failed to access geometry for DetId: " << id.rawId(); - return math::XYZVector(0,0,0); - } - const GlobalPoint idPosition = caloGeometry_->getSubdetectorGeometry(id)->getGeometry(id)->getPosition(); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -FakeTrackVarProducer::getPosition(const CSCSegment& seg) const -{ - const LocalPoint localPos = seg.localPosition(); - const CSCDetId id = seg.cscDetId(); - - const GlobalPoint idPosition = cscGeometry_->chamber(id)->toGlobal(localPos); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -FakeTrackVarProducer::getPosition(const CSCRecHit2D& recHit) const -{ - const LocalPoint localPos = recHit.localPosition(); - const CSCDetId id = recHit.cscDetId(); - - const GlobalPoint idPosition = cscGeometry_->chamber(id)->toGlobal(localPos); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -FakeTrackVarProducer::getPosition(const DTRecSegment4D& seg) const -{ - const LocalPoint segmentLocal = seg.localPosition(); - const GlobalPoint idPosition = dtGeometry_->idToDet(seg.geographicalId())->surface().toGlobal(segmentLocal); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -FakeTrackVarProducer::getPosition(const DTRecHit1D& recHit) const -{ - const LocalPoint localPos = recHit.localPosition(); - const GlobalPoint idPosition = dtGeometry_->idToDet(recHit.geographicalId())->surface().toGlobal(localPos); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -const math::XYZVector -FakeTrackVarProducer::getPosition(const RPCRecHit& seg) const -{ - const RPCDetId detId = static_cast(seg.rpcId()); - const RPCRoll * roll = dynamic_cast(rpcGeometry_->roll(detId)); - const GlobalPoint idPosition = roll->toGlobal(seg.localPosition()); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -vector -FakeTrackVarProducer::getTagElectrons(const edm::Event &event, - const edm::TriggerResults &triggers, - const vector &trigObjs, - const reco::Vertex &vertex, - const vector &electrons) -{ - vector tagElectrons; - - for(const auto &electron : electrons) { - if(electron.pt() <= (is2017_ ? 35 : 32)) continue; - - if(!anatools::isMatchedToTriggerObject(event, - triggers, - electron, - trigObjs, - "hltEgammaCandidates::HLT", - (is2017_ ? "hltEle35noerWPTightGsfTrackIsoFilter" : "hltEle32WPTightGsfTrackIsoFilter"))) { - continue; // cutElectronMatchToTrigObj - } - - if(fabs(electron.eta()) >= 2.1) continue; - if(!electron.electronID(is2017_ ? "cutBasedElectronID-Fall17-94X-V1-tight" : "cutBasedElectronID-Fall17-94X-V2-tight")) continue; - - if(fabs(electron.superCluster()->eta()) <= 1.479) { - if(fabs(electron.gsfTrack()->dxy(vertex.position())) >= 0.05) continue; - if(fabs(electron.gsfTrack()->dz(vertex.position())) >= 0.10) continue; - } - else { - if(fabs(electron.gsfTrack()->dxy(vertex.position())) >= 0.10) continue; - if(fabs(electron.gsfTrack()->dz(vertex.position())) >= 0.20) continue; - } - - tagElectrons.push_back(electron); - } - - return tagElectrons; -} - -vector -FakeTrackVarProducer::getTagMuons(const edm::Event &event, - const edm::TriggerResults &triggers, - const vector &trigObjs, - const reco::Vertex &vertex, - const vector &muons) -{ - vector tagMuons; - - for(const auto &muon : muons) { - if(muon.pt() <= (is2017_ ? 29 : 26)) continue; - if(fabs(muon.eta()) >= 2.1) continue; - if(!muon.isTightMuon(vertex)) continue; - - double iso = muon.pfIsolationR04().sumNeutralHadronEt + - muon.pfIsolationR04().sumPhotonEt + - -0.5 * muon.pfIsolationR04().sumPUPt; - iso = muon.pfIsolationR04().sumChargedHadronPt + max(0.0, iso); - if(iso / muon.pt() >= 0.15) continue; - - if(!anatools::isMatchedToTriggerObject(event, - triggers, - muon, - trigObjs, - (is2017_ ? "hltIterL3MuonCandidates::HLT" : "hltHighPtTkMuonCands::HLT"), - (is2017_ ? "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07" : "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07"))) { - continue; // cutMuonMatchToTrigObj - } - - tagMuons.push_back(muon); - } - - return tagMuons; -} - -const bool -FakeTrackVarProducer::isProbeTrack(const TrackInfo info) const -{ - if(info.pt <= 30 || - fabs(info.eta) >= 2.1 || - // skip fiducial sElectrons - info.nValidPixelHits < 4 || - info.nValidHits < 4 || - info.missingInnerHits != 0 || - info.missingMiddleHits != 0 || - info.trackIso / info.pt >= 0.05 || - fabs(info.d0) >= 0.02 || - fabs(info.dz) >= 0.5 || - // skip lepton vetoes - fabs(info.dRMinJet) <= 0.5) { - return false; - } - - return true; -} - -const unsigned int -FakeTrackVarProducer::isTagProbeElePair(const CandidateTrack &probe, const pat::Electron &tag) const -{ - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.000510998928 * 0.000510998928)); // energyOfElectron() - - if(fabs((t + p).M() - 91.1876) >= 10.0) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -FakeTrackVarProducer::isTagProbeTauToElePair(const CandidateTrack &probe, - const pat::Electron &tag, - const pat::MET &met) const -{ - double dPhi = deltaPhi(tag.phi(), probe.phi()); - if(sqrt(2.0 * tag.pt() * probe.pt() * (1 - cos(dPhi))) >= 40) return false; // cutElectronLowMT - - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.000510998928 * 0.000510998928)); // energyOfElectron() - - double invMass = (t + p).M(); - - if(invMass <= 91.1876 - 50 || invMass >= 91.1876 - 15) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -FakeTrackVarProducer::isTagProbeMuonPair(const CandidateTrack &probe, const pat::Muon &tag) const -{ - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.1056583715 * 0.1056583715)); // energyOfMuon() - - if(fabs((t + p).M() - 91.1876) >= 10.0) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -FakeTrackVarProducer::isTagProbeTauToMuonPair(const CandidateTrack &probe, - const pat::Muon &tag, - const pat::MET &met) const -{ - double dPhi = deltaPhi(tag.phi(), probe.phi()); - if(sqrt(2.0 * tag.pt() * probe.pt() * (1 - cos(dPhi))) >= 40) return false; // cutMuonLowMT - - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.1056583715 * 0.1056583715)); // energyOfMuon() - - double invMass = (t + p).M(); - - if(invMass <= 91.1876 - 50 || invMass >= 91.1876 - 15) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const double -FakeTrackVarProducer::minDRBadEcalChannel(const CandidateTrack &track) const -{ - double trackEta = track.eta(), trackPhi = track.phi(); - - double min_dist = -1; - DetId min_detId; - - map >::const_iterator bitItor; - for(bitItor = EcalAllDeadChannelsBitMap_.begin(); bitItor != EcalAllDeadChannelsBitMap_.end(); bitItor++) { - DetId maskedDetId = bitItor->first; - map >::const_iterator valItor = EcalAllDeadChannelsValMap_.find(maskedDetId); - if(valItor == EcalAllDeadChannelsValMap_.end()){ - cout << "Error cannot find maskedDetId in EcalAllDeadChannelsValMap_ ?!" << endl; - continue; - } - - double eta = (valItor->second)[0], phi = (valItor->second)[1]; - double dist = reco::deltaR(eta, phi, trackEta, trackPhi); - - if(min_dist > dist || min_dist < 0) { - min_dist = dist; - min_detId = maskedDetId; - } - } - - return min_dist; -} - -void -FakeTrackVarProducer::getChannelStatusMaps() -{ - EcalAllDeadChannelsValMap_.clear(); - EcalAllDeadChannelsBitMap_.clear(); - - // Loop over EB ... - for(int ieta = -85; ieta <= 85; ieta++) { - for(int iphi = 0; iphi <= 360; iphi++) { - if(!EBDetId::validDetId(ieta, iphi)) continue; - - const EBDetId detid = EBDetId(ieta, iphi, EBDetId::ETAPHIMODE); - EcalChannelStatus::const_iterator chit = ecalStatus_->find(detid); - // refer https://twiki.cern.ch/twiki/bin/viewauth/CMS/EcalChannelStatus - int status = (chit != ecalStatus_->end()) ? chit->getStatusCode() & 0x1F : -1; - - const CaloSubdetectorGeometry * subGeom = caloGeometry_->getSubdetectorGeometry(detid); - auto cellGeom = subGeom->getGeometry(detid); - double eta = cellGeom->getPosition().eta(); - double phi = cellGeom->getPosition().phi(); - double theta = cellGeom->getPosition().theta(); - - if(status >= 3) { // maskedEcalChannelStatusThreshold_ - vector valVec; - vector bitVec; - - valVec.push_back(eta); - valVec.push_back(phi); - valVec.push_back(theta); - - bitVec.push_back(1); - bitVec.push_back(ieta); - bitVec.push_back(iphi); - bitVec.push_back(status); - - EcalAllDeadChannelsValMap_.insert(make_pair(detid, valVec)); - EcalAllDeadChannelsBitMap_.insert(make_pair(detid, bitVec)); - } - } // end loop iphi - } // end loop ieta - - // Loop over EE detid - for(int ix = 0; ix <= 100; ix++) { - for(int iy = 0; iy <= 100; iy++) { - for(int iz = -1; iz <= 1; iz++) { - if(iz == 0) continue; - if(!EEDetId::validDetId(ix, iy, iz)) continue; - - const EEDetId detid = EEDetId(ix, iy, iz, EEDetId::XYMODE); - EcalChannelStatus::const_iterator chit = ecalStatus_->find(detid); - int status = (chit != ecalStatus_->end()) ? chit->getStatusCode() & 0x1F : -1; - - const CaloSubdetectorGeometry * subGeom = caloGeometry_->getSubdetectorGeometry(detid); - auto cellGeom = subGeom->getGeometry(detid); - double eta = cellGeom->getPosition().eta(); - double phi = cellGeom->getPosition().phi(); - double theta = cellGeom->getPosition().theta(); - - if(status >= 3) { // maskedEcalChannelStatusThreshold_ - vector valVec; - vector bitVec; - - valVec.push_back(eta); - valVec.push_back(phi); - valVec.push_back(theta); - - bitVec.push_back(2); - bitVec.push_back(ix); - bitVec.push_back(iy); - bitVec.push_back(iz); - bitVec.push_back(status); - - EcalAllDeadChannelsValMap_.insert(make_pair(detid, valVec)); - EcalAllDeadChannelsBitMap_.insert(make_pair(detid, bitVec)); - } - } // end loop iz - } // end loop iy - } // end loop ix -} - -std::vector> -FakeTrackVarProducer::getHitMap(const vector trackDeDxInfos) const { - - //hit.hitLayerId, hit.charge, hit.subDet, hit.pixelHitSize, - //hit.pixelHitSizeX, hit.pixelHitSizeY, hit.stripShapeSelection, hit.hitPosX, hit.hitPosY] - - int hitsWanted = 16; - int numHitVar = 9; - int numHits = 0; - bool newLayer = true; - std::vector> layerHits(hitsWanted, vector(numHitVar)); - - for(auto &hit : trackDeDxInfos){ - - newLayer = true; - - //std::cout << "Get Hit Map, sub detector: " << hit.subDet << ", layer: " << hit.hitLayerId << ", energy: " << hit.charge << ", num hits: " << numHits<< std::endl; - - //if(numHits == hitsWanted-1) break; //check if greater hits then break - - for(int i=0; i < numHits; i++){ - //check to see if this detector/layer already has a hit - if(hit.subDet == layerHits[i][2] && hit.hitLayerId == layerHits[i][0]){ - newLayer = false; - //check if the hit has more energy, want to have max energy hit in detector/layer - if(hit.charge > layerHits[i][1]){ - std::vector thisLayer = {(double)hit.hitLayerId, (double)hit.charge, (double)hit.subDet, (double)hit.pixelHitSize, (double)hit.pixelHitSizeX, (double)hit.pixelHitSizeY, - (double)hit.stripShapeSelection, (double)hit.hitPosX, (double)hit.hitPosY}; - layerHits[i] = thisLayer; - } - break; - } - } //end loop over existing hits - if(newLayer && numHits < hitsWanted-1){ - std::vector thisLayer = {(double)hit.hitLayerId, (double)hit.charge, (double)hit.subDet, (double)hit.pixelHitSize, (double)hit.pixelHitSizeX, (double)hit.pixelHitSizeY, - (double)hit.stripShapeSelection, (double)hit.hitPosX, (double)hit.hitPosY}; - layerHits[numHits] = thisLayer; - numHits++; - } - - }//end loop over dedxInfos - - return layerHits; - -} - -std::pair -FakeTrackVarProducer::getMaxHits(const vector trackDeDxInfos) const { - - double maxEnergy = 0; - double totalEnergy = 0; - - for(auto &hit : trackDeDxInfos){ - totalEnergy += hit.charge; - if(hit.charge > maxEnergy) maxEnergy = hit.charge; - } - - std::pair hitEnergy(maxEnergy, totalEnergy); - return hitEnergy; -} - -//std::bitset<29> -unsigned long -FakeTrackVarProducer::encodeLayers(const std::vector> layerHits) const { - - //number of layers in each sub detector {pbx, pex, TIB, TOB, TID, TEC} - int numLayers[6] = {4, 3, 4, 6, 3, 9}; - - std::bitset<29> encodedHits; - - - for(unsigned int i=0; i < layerHits.size(); i++){ - - int thisLayer = layerHits[i][0]; - int thisDet = layerHits[i][2]; - int bit = thisLayer-1; - - for(int det = 0; det < thisDet-1; det++){ - bit += numLayers[det]; - } - - std::bitset<29> thisHit = 1<, std::array> -FakeTrackVarProducer::getClosestVertices(const std::vector v_info, float track_vz, float track_vx, float track_vy) const { - - std::array d0 {{10e3, 10e3, 10e3}}; - std::array dz {{10e3, 10e3, 10e3}}; - - for(auto &info : v_info){ - float deltaZ = abs(info.vertex.Z() - track_vz); - float delta0 = abs(sqrt(pow(info.vertex.X()-track_vx,2) + pow(info.vertex.Y()-track_vy,2))); - //std::cout << "delta0: " << delta0 << " , deltaZ: " << deltaZ << std::endl; - int size = sizeof(dz)/sizeof(dz[0]); - //std::cout << "size: " << size << std::endl; - if(abs(deltaZ) < abs(dz[size-1])) dz[size-1] = deltaZ; - std::sort(dz.begin(), dz.end(), [](float i, float j){ return abs(i) < abs(j); }); - if(abs(delta0) < abs(d0[size-1])) d0[size-1] = delta0; - std::sort(d0.begin(), d0.end(), [](float i, float j){ return abs(i) < abs(j); }); - //std::cout << "d0: " << d0[0] << " " << d0[1] << " " << d0[2] << ", dz: " << dz[0] << " " << dz[1] << " " << dz[2] << std::endl; - } - - std::pair, std::array> closestVertices(dz, d0); - return closestVertices; - -} - -DEFINE_FWK_MODULE(FakeTrackVarProducer); diff --git a/StandardAnalysis/plugins/SiGlobalClusterProducer.cc b/StandardAnalysis/plugins/SiGlobalClusterProducer.cc index ba6b48056..e336f4cea 100644 --- a/StandardAnalysis/plugins/SiGlobalClusterProducer.cc +++ b/StandardAnalysis/plugins/SiGlobalClusterProducer.cc @@ -1,7 +1,8 @@ #include "DisappTrks/StandardAnalysis/plugins/SiGlobalClusterProducer.h" SiGlobalClusterProducer::SiGlobalClusterProducer (const edm::ParameterSet &cfg) : - siPixelClusters_ (cfg.getParameter ("siPixelClusters")) + siPixelClusters_ (cfg.getParameter ("siPixelClusters")), + geomToken_(esConsumes()) { siPixelClustersToken_ = consumes > (siPixelClusters_); produces > ("globalPixelClusters"); @@ -19,8 +20,9 @@ SiGlobalClusterProducer::produce (edm::Event &event, const edm::EventSetup &setu globalPixelClusters_ = make_unique > (); - edm::ESHandle theTrackerGeometry; - setup.get ().get (theTrackerGeometry); + // edm::ESHandle theTrackerGeometry; + // setup.get ().get (theTrackerGeometry); + edm::ESHandle theTrackerGeometry = setup.getHandle(geomToken_); const TrackerGeometry &theTracker (*theTrackerGeometry); for (edmNew::DetSetVector::const_iterator detSet = siPixelClusters->begin (); detSet != siPixelClusters->end (); detSet++) diff --git a/StandardAnalysis/plugins/SiGlobalClusterProducer.h b/StandardAnalysis/plugins/SiGlobalClusterProducer.h index 1de4bc2fd..079b870bc 100644 --- a/StandardAnalysis/plugins/SiGlobalClusterProducer.h +++ b/StandardAnalysis/plugins/SiGlobalClusterProducer.h @@ -28,6 +28,7 @@ class SiGlobalClusterProducer : public edm::stream::EDProducer<> private: edm::InputTag siPixelClusters_; edm::EDGetTokenT > siPixelClustersToken_; + const edm::ESGetToken geomToken_; unique_ptr > globalPixelClusters_; }; diff --git a/StandardAnalysis/plugins/SlimmedSiClusterProducer.cc b/StandardAnalysis/plugins/SlimmedSiClusterProducer.cc index 50fddca64..2cd75001a 100644 --- a/StandardAnalysis/plugins/SlimmedSiClusterProducer.cc +++ b/StandardAnalysis/plugins/SlimmedSiClusterProducer.cc @@ -5,7 +5,8 @@ SlimmedSiClusterProducer::SlimmedSiClusterProducer (const edm::ParameterSet &cfg tracks_ (cfg.getParameter ("tracks")), minTrackPt_ (cfg.getParameter ("minTrackPt")), requiredNumLayers_ (cfg.getParameter ("requiredNumLayers")), - maxDR_ (cfg.getParameter ("maxDR")) + maxDR_ (cfg.getParameter ("maxDR")), + geomToken_(esConsumes()) { siPixelClustersToken_ = consumes > (siPixelClusters_); tracksToken_ = consumes > (tracks_); @@ -28,8 +29,9 @@ SlimmedSiClusterProducer::produce (edm::Event &event, const edm::EventSetup &set slimmedPixelClusters_ = make_unique > (); - edm::ESHandle theTrackerGeometry; - setup.get ().get (theTrackerGeometry); + // edm::ESHandle theTrackerGeometry; + // setup.get ().get (theTrackerGeometry); + edm::ESHandle theTrackerGeometry = setup.getHandle(geomToken_); const TrackerGeometry &theTracker (*theTrackerGeometry); for (edmNew::DetSetVector::const_iterator detSet = siPixelClusters->begin(); detSet != siPixelClusters->end(); detSet++) { diff --git a/StandardAnalysis/plugins/SlimmedSiClusterProducer.h b/StandardAnalysis/plugins/SlimmedSiClusterProducer.h index 5d95b7ffb..29601cf5e 100644 --- a/StandardAnalysis/plugins/SlimmedSiClusterProducer.h +++ b/StandardAnalysis/plugins/SlimmedSiClusterProducer.h @@ -45,6 +45,7 @@ class SlimmedSiClusterProducer : public edm::stream::EDProducer<> edm::EDGetTokenT > siPixelClustersToken_; edm::EDGetTokenT > tracksToken_; + const edm::ESGetToken geomToken_; unique_ptr > slimmedPixelClusters_; }; diff --git a/StandardAnalysis/plugins/TensorflowProducer.cc b/StandardAnalysis/plugins/TensorflowProducer.cc deleted file mode 100644 index db57e682d..000000000 --- a/StandardAnalysis/plugins/TensorflowProducer.cc +++ /dev/null @@ -1,1630 +0,0 @@ -#ifndef TENSORFLOW_PRODUCER -#define TENSORFLOW_PRODUCER -// -*- C++ -*- -// -// Package: DisappTrks/StandardAnalysis -// Class: TensorflowProducer -// -/**\class TensorflowProducer TensorflowProducer.cc DisappTrks/StandardAnalysis/plugins/TensorflowProducer.cc - - Description: [one line class summary] - - Implementation: - [Notes on implementation] -*/ -// -// Original Author: Michael Carrigan -// Created: Thu, 17 Nov 2022 19:04:06 GMT -// -// - -// system include files -#include - -// user include files -#include "FWCore/Framework/interface/Frameworkfwd.h" -#include "FWCore/Framework/interface/stream/EDProducer.h" - -#include "FWCore/Framework/interface/Event.h" -#include "FWCore/Framework/interface/MakerMacros.h" - -#include "FWCore/ParameterSet/interface/ParameterSet.h" -#include "FWCore/Utilities/interface/StreamID.h" - -#include "PhysicsTools/TensorFlow/interface/TensorFlow.h" - -#include "TTree.h" -#include "CommonTools/UtilAlgos/interface/TFileService.h" - -#include "DataFormats/Math/interface/deltaPhi.h" -#include "DataFormats/TrackReco/interface/DeDxHitInfo.h" -#include "RecoTracker/DeDx/interface/DeDxTools.h" -#include "DataFormats/TrackReco/interface/DeDxData.h" -#include "DataFormats/PatCandidates/interface/IsolatedTrack.h" -#include "DataFormats/GeometryVector/interface/LocalPoint.h" - -#include "DataFormats/TrackerCommon/interface/TrackerTopology.h" - -//Pileup Info -#include "SimDataFormats/PileupSummaryInfo/interface/PileupSummaryInfo.h" - -#include "FWCore/ServiceRegistry/interface/Service.h" -#include "FWCore/Utilities/interface/InputTag.h" -#include - -#include "DisappTrksML/TreeMaker/interface/Infos.h" - -#include "DisappTrks/CandidateTrackProducer/interface/CandidateTrack.h" -#include "OSUT3Analysis/AnaTools/interface/EventVariableProducer.h" -#include "DisappTrks/StandardAnalysis/interface/NetworkOutput.h" - -// Tensorflow -#include "PhysicsTools/TensorFlow/interface/TensorFlow.h" - -// MINIAOD -#include "DataFormats/HepMCCandidate/interface/GenParticle.h" -#include "DataFormats/PatCandidates/interface/Electron.h" -#include "DataFormats/PatCandidates/interface/Jet.h" -#include "DataFormats/PatCandidates/interface/MET.h" -#include "DataFormats/PatCandidates/interface/Muon.h" -#include "DataFormats/PatCandidates/interface/PackedGenParticle.h" -#include "DataFormats/PatCandidates/interface/Tau.h" -#include "DataFormats/PatCandidates/interface/TriggerObjectStandAlone.h" -#include "DataFormats/VertexReco/interface/Vertex.h" -#include "DataFormats/PatCandidates/interface/PackedCandidate.h" -#include "DataFormats/Common/interface/TriggerResults.h" -#include "FWCore/Common/interface/TriggerNames.h" - -// recHits -#include "FWCore/Framework/interface/ESHandle.h" -#include "Geometry/CaloGeometry/interface/CaloGeometry.h" -#include "Geometry/Records/interface/CaloGeometryRecord.h" -#include "Geometry/CaloGeometry/interface/CaloSubdetectorGeometry.h" -#include "Geometry/CaloGeometry/interface/CaloCellGeometry.h" - -#include "CondFormats/EcalObjects/interface/EcalChannelStatus.h" -#include "CondFormats/DataRecord/interface/EcalChannelStatusRcd.h" - -#include "DataFormats/EcalRecHit/interface/EcalRecHitCollections.h" -#include "DataFormats/HcalRecHit/interface/HcalRecHitCollections.h" - -// -// class declaration -// - -enum DetType { None, EB, EE, ES, HCAL, CSC, DT, RPC }; - -struct CacheData { - CacheData() : graphDef(nullptr) {} - std::atomic graphDef; -}; - -class TensorflowProducer : public edm::stream::EDProducer> { -public: - explicit TensorflowProducer(const edm::ParameterSet &, const CacheData*); - - ~TensorflowProducer() override; - - static void fillDescriptions(edm::ConfigurationDescriptions& descriptions); - static std::unique_ptr initializeGlobalCache(const edm::ParameterSet&); - static void globalEndJob(const CacheData*); - -private: - void beginStream(edm::StreamID) override; - void produce(edm::Event&, const edm::EventSetup&) override; - void endStream() override; - - int getDetectorIndex(const int) const; - - void getGeometries(const edm::EventSetup &); - /*void findMatchedIsolatedTrack (const edm::Handle >&isolatedTracks, - edm::Ref >&matchedIsolatedTrack, - double &dRToMatchedIsolatedTrack, const CandidateTrack &track) const; - void findMatchedGenTrack (const edm::Handle >&genTracks, - edm::Ref >&matchedGenTrack, - double &dRToMatchedGenTrack, const CandidateTrack &track) const;*/ - int countGoodPrimaryVertices(const vector &) const; - int countGoodJets(const vector &) const; - double getMaxDijetDeltaPhi(const vector &) const; - double getLeadingJetMetPhi(const vector &, const pat::MET &) const; - - void getTracks(const reco::Vertex &, - const vector &, - const vector &, - const vector &, - const vector &, - const vector &tagElectrons, - const vector &tagMuons, - const pat::MET &, - const edm::Handle >, - const edm::Handle, - const edm::Handle > dEdxStrip, - const edm::Handle > dEdxPixel); - - void getRecHits(const edm::Event &); - void getGenParticles(const reco::CandidateView &); - - const math::XYZVector getPosition(const DetId &) const; - //const math::XYZVector getPosition(const CSCSegment&) const; - //const math::XYZVector getPosition(const CSCRecHit2D&) const; - //const math::XYZVector getPosition(const DTRecSegment4D&) const; - //const math::XYZVector getPosition(const DTRecHit1D&) const; - //const math::XYZVector getPosition(const RPCRecHit&) const; - - vector getTagElectrons(const edm::Event &, - const edm::TriggerResults &, - const vector &, - const reco::Vertex &, - const vector &); - - vector getTagMuons(const edm::Event &, - const edm::TriggerResults &, - const vector &, - const reco::Vertex &, - const vector &); - - const bool isProbeTrack(const TrackInfo) const; - - // bit values reflect tag+probe status and charge products: - // 0b - // So 0 = 0b00 : not in any TP pair - // 1 = 0b01 : in OS TP pair - // 2 = 0b10 : in SS TP pair - // 3 = 0b11 : in both an OS and SS pair - const unsigned int isTagProbeElePair(const pat::IsolatedTrack &, const pat::Electron &) const; - const unsigned int isTagProbeMuonPair(const pat::IsolatedTrack &, const pat::Muon &) const; - const unsigned int isTagProbeTauToElePair(const pat::IsolatedTrack &, const pat::Electron &, const pat::MET &) const; - const unsigned int isTagProbeTauToMuonPair(const pat::IsolatedTrack &, const pat::Muon &, const pat::MET &) const; - - const double minDRBadEcalChannel(const pat::IsolatedTrack &) const; - void getChannelStatusMaps(); - - std::vector> getHitMap(const vector) const; - std::pair getMaxHits(const vector) const; - unsigned long encodeLayers(const std::vector>) const; - std::pair, std::array> getClosestVertices(const std::vector, float track_vz, float track_vx, float track_vy) const; - - - std::string graphPath_; - std::string inputTensorName_; - std::string outputTensorName_; - - tensorflow::GraphDef* graphDef_; - tensorflow::Session* session_; - - tensorflow::Tensor input_; - - edm::InputTag triggers_; - edm::InputTag trigObjs_; - edm::InputTag genParticles_; - edm::InputTag met_; - edm::InputTag electrons_, muons_, taus_; - edm::InputTag pfCandidates_; - edm::InputTag vertices_; - edm::InputTag jets_; - edm::InputTag rhoCentralCalo_; - edm::InputTag EBRecHits_, EERecHits_, ESRecHits_; - edm::InputTag HBHERecHits_; - - edm::InputTag dEdxPixel_; - edm::InputTag dEdxStrip_; - edm::InputTag isoTrk2dedxHitInfo_; - edm::InputTag isoTracks_; - edm::InputTag pileupInfo_; - - edm::EDGetTokenT triggersToken_; - edm::EDGetTokenT > trigObjsToken_; - edm::EDGetTokenT genParticlesToken_; - edm::EDGetTokenT > metToken_; - edm::EDGetTokenT > electronsToken_; - edm::EDGetTokenT > muonsToken_; - edm::EDGetTokenT > tausToken_; - edm::EDGetTokenT > pfCandidatesToken_; - edm::EDGetTokenT > verticesToken_; - edm::EDGetTokenT > jetsToken_; - - edm::EDGetTokenT rhoCentralCaloToken_; - - edm::EDGetTokenT EBRecHitsToken_; - edm::EDGetTokenT EERecHitsToken_; - edm::EDGetTokenT ESRecHitsToken_; - edm::EDGetTokenT HBHERecHitsToken_; - - - edm::EDGetTokenT > dEdxPixelToken_; - edm::EDGetTokenT > dEdxStripToken_; - edm::EDGetTokenT isoTrk2dedxHitInfoToken_; - edm::EDGetTokenT >isoTrackToken_; - edm::EDGetTokenT > pileupInfoToken_; - edm::ESGetToken caloGeometryToken_; - - edm::ESGetToken ecalStatusToken_; - edm::ESGetToken trackerTopologyToken_; - - - edm::ESHandle caloGeometry_; - - - edm::ESHandle ecalStatus_; - edm::ESHandle trackerTopology_; - - edm::EDPutTokenT > putTokenNetworkScores_; - - //vector networkScores_; - vector trackInfos_; - vector recHitInfos_; - vector genParticleInfos_; - vector vertexInfos_; - - const double minGenParticlePt_; - const double minTrackPt_; - const double maxRelTrackIso_; - - const string dataTakingPeriod_; - - // event information - int nPV_; - unsigned long long eventNumber_; - unsigned int lumiBlockNumber_; - unsigned int runNumber_; - vector pileupZPosition_; - unsigned int numTruePV_; - - // event-wide cut results - bool firesGrandOrTrigger_; - bool passMETFilters_; - int numGoodPVs_; - double metNoMu_; - double numGoodJets_; - double dijetDeltaPhiMax_; - double leadingJetMetPhi_; - - bool is2017_; - - map > EcalAllDeadChannelsValMap_; - map > EcalAllDeadChannelsBitMap_; - - vector signalTriggerNames, metFilterNames; - - // recHits range - double EtaRange_; - double PhiRange_; - int maxHits_; - - //void beginRun(edm::Run const&, edm::EventSetup const&) override; - //virtual void endRun(edm::Run const&, edm::EventSetup const&); - //void beginLuminosityBlock(edm::LuminosityBlock const&, edm::EventSetup const&) override; - //void endLuminosityBlock(edm::LuminosityBlock const&, edm::EventSetup const&) override; - - // ----------member data --------------------------- -}; - -// -// constants, enums and typedefs -// - -// -// static data member definitions -// - -// -// constructors and destructor -// -TensorflowProducer::TensorflowProducer(const edm::ParameterSet &config, const CacheData* cacheData) - : graphPath_(config.getParameter("graphPath")), - inputTensorName_(config.getParameter("inputTensorName")), - outputTensorName_(config.getParameter("outputTensorName")), - session_(tensorflow::createSession(cacheData->graphDef, 4)), - - triggers_ (config.getParameter ("triggers")), - trigObjs_ (config.getParameter ("triggerObjects")), - genParticles_ (config.getParameter ("genParticles")), - met_ (config.getParameter ("met")), - electrons_ (config.getParameter ("electrons")), - muons_ (config.getParameter ("muons")), - taus_ (config.getParameter ("taus")), - pfCandidates_ (config.getParameter ("pfCandidates")), - vertices_ (config.getParameter ("vertices")), - jets_ (config.getParameter ("jets")), - - rhoCentralCalo_ (config.getParameter ("rhoCentralCalo")), - - EBRecHits_ (config.getParameter ("EBRecHits")), - EERecHits_ (config.getParameter ("EERecHits")), - ESRecHits_ (config.getParameter ("ESRecHits")), - HBHERecHits_ (config.getParameter ("HBHERecHits")), - - dEdxPixel_ (config.getParameter ("dEdxPixel")), - dEdxStrip_ (config.getParameter ("dEdxStrip")), - isoTrk2dedxHitInfo_ (config.getParameter ("isoTrk2dedxHitInfo")), - isoTracks_ (config.getParameter ("isolatedTracks")), - - pileupInfo_ (config.getParameter("pileupInfo")), - - minGenParticlePt_ (config.getParameter ("minGenParticlePt")), - minTrackPt_ (config.getParameter ("minTrackPt")), - maxRelTrackIso_ (config.getParameter ("maxRelTrackIso")), - - dataTakingPeriod_ (config.getParameter ("dataTakingPeriod")) - { - - //assert(dataTakingPeriod_ == "2017" || dataTakingPeriod_ == "2018" || dataTakingPeriod_ == "2022"); - //is2017_ = (dataTakingPeriod_ == "2017"); - - triggersToken_ = consumes (triggers_); - trigObjsToken_ = consumes > (trigObjs_); - genParticlesToken_ = consumes (genParticles_); - metToken_ = consumes > (met_); - electronsToken_ = consumes > (electrons_); - muonsToken_ = consumes > (muons_); - tausToken_ = consumes > (taus_); - pfCandidatesToken_ = consumes > (pfCandidates_); - verticesToken_ = consumes > (vertices_); - jetsToken_ = consumes > (jets_); - - rhoCentralCaloToken_ = consumes (rhoCentralCalo_); - - EBRecHitsToken_ = consumes (EBRecHits_); - EERecHitsToken_ = consumes (EERecHits_); - ESRecHitsToken_ = consumes (ESRecHits_); - HBHERecHitsToken_ = consumes (HBHERecHits_); - - dEdxPixelToken_ = consumes > (dEdxPixel_); - dEdxStripToken_ = consumes > (dEdxStrip_); - isoTrk2dedxHitInfoToken_ = consumes (isoTrk2dedxHitInfo_); - isoTrackToken_ = consumes > (isoTracks_); - pileupInfoToken_ = consumes > (pileupInfo_); - - caloGeometryToken_ = esConsumes(); - ecalStatusToken_ = esConsumes(); - trackerTopologyToken_ = esConsumes(); - - signalTriggerNames = config.getParameter >("signalTriggerNames"); - metFilterNames = config.getParameter >("metFilterNames"); - - produces("networkScores"); - - //networkScores_.clear(); - trackInfos_.clear(); - recHitInfos_.clear(); - genParticleInfos_.clear(); - pileupZPosition_.clear(); - vertexInfos_.clear(); - -} - -TensorflowProducer::~TensorflowProducer() { - // do anything here that needs to be done at destruction time - // (e.g. close files, deallocate resources etc.) - // - // please remove this method altogether if it would be left empty -} - -// -// member functions -// - -// ------------ method called to produce the data ------------ -void TensorflowProducer::produce(edm::Event& event, const edm::EventSetup& iSetup) { - using namespace edm; - - // get collections, setup objects - std::cout << "In tensorflowPlugin analyze method" << std::endl; - - edm::Handle triggers; - event.getByToken (triggersToken_, triggers); - - edm::Handle > trigObjs; - event.getByToken (trigObjsToken_, trigObjs); - - edm::Handle genParticles; - event.getByToken(genParticlesToken_, genParticles); - - edm::Handle > met; - event.getByToken (metToken_, met); - - edm::Handle > electrons; - event.getByToken(electronsToken_, electrons); - - edm::Handle > muons; - event.getByToken(muonsToken_, muons); - - edm::Handle > taus; - event.getByToken(tausToken_, taus); - - edm::Handle > pfCandidates; - event.getByToken(pfCandidatesToken_, pfCandidates); - - edm::Handle > vertices; - event.getByToken(verticesToken_, vertices); - - edm::Handle > jets; - event.getByToken(jetsToken_, jets); - - edm::Handle rhoCentralCalo; - event.getByToken(rhoCentralCaloToken_, rhoCentralCalo); - - edm::Handle > dEdxStrip; - event.getByToken (dEdxStripToken_, dEdxStrip); - - edm::Handle > dEdxPixel; - event.getByToken (dEdxPixelToken_, dEdxPixel); - - edm::Handle isoTrk2dedxHitInfo; - event.getByToken(isoTrk2dedxHitInfoToken_, isoTrk2dedxHitInfo); - - edm::Handle > tracks; - event.getByToken (isoTrackToken_, tracks); - - edm::Handle > pileupInfos; - event.getByToken(pileupInfoToken_, pileupInfos); - - const edm::TriggerNames &allTriggerNames = event.triggerNames(*triggers); - - getGeometries(iSetup); - getChannelStatusMaps(); - - TVector2 metNoMuVec(met->at(0).px(), met->at(0).py()); - for(const auto &pfCandidate : *pfCandidates) { - if(abs(pfCandidate.pdgId()) != 13) continue; - TVector2 muon(pfCandidate.px(), pfCandidate.py()); - metNoMuVec += muon; - } - - metNoMu_ = metNoMuVec.Mod(); - - firesGrandOrTrigger_ = false; - passMETFilters_ = true; - - for(unsigned i = 0; i < allTriggerNames.size(); i++) { - string thisName = allTriggerNames.triggerName(i); - - for(auto name : signalTriggerNames) { - if(thisName.find(name) == 0 && triggers->accept(i)) { - firesGrandOrTrigger_ = true; - break; - } - } - - for(auto name : metFilterNames) { - if(thisName.find(name) == 0 && !triggers->accept(i)) { - passMETFilters_ = false; - break; - } - } - - if(firesGrandOrTrigger_ && !passMETFilters_) break; - } - - const reco::Vertex &pv = vertices->at(0); - nPV_ = vertices->size(); - numGoodPVs_ = countGoodPrimaryVertices(*vertices); - - vertexInfos_.clear(); - for(auto vertex : *vertices){ - VertexInfo info; - - TLorentzVector vertex_pos(vertex.x(), vertex.y(), vertex.z(), vertex.t()); - TLorentzVector vertex_err(vertex.xError(), vertex.yError(), vertex.zError(), vertex.tError()); - info.vertex = vertex_pos; - info.vertex_error = vertex_err; - info.chi2 = vertex.chi2(); - info.ndof = vertex.ndof(); - info.isValid = vertex.isValid(); - - vertexInfos_.push_back(info); - } - - eventNumber_ = event.id().event(); - lumiBlockNumber_ = event.id().luminosityBlock(); - runNumber_ = event.id().run(); - - numGoodJets_ = countGoodJets(*jets); - dijetDeltaPhiMax_ = getMaxDijetDeltaPhi(*jets); - leadingJetMetPhi_ = getLeadingJetMetPhi(*jets, met->at(0)); - - vector tagElectrons = getTagElectrons(event, *triggers, *trigObjs, pv, *electrons); - vector tagMuons = getTagMuons(event, *triggers, *trigObjs, pv, *muons); - - getTracks(pv, *jets, *electrons, *muons, *taus, tagElectrons, tagMuons, met->at(0), tracks, isoTrk2dedxHitInfo, dEdxStrip, dEdxPixel); - - if(trackInfos_.size() == 0) return; // only fill tree with passing tracks - std::cout << "Number of tracks: " << trackInfos_.size() << "event: " << eventNumber_ << std::endl; - - getRecHits(event); - if(genParticles.isValid()) getGenParticles(*genParticles); - - // account for pileup in track ecalo - double caloCorr = (*rhoCentralCalo) * 2. * M_PI_2 * 0.5 * 0.5; - for(auto &info : trackInfos_) { - info.ecalo -= caloCorr; - if(info.ecalo < 0) info.ecalo = 0; - } - - // Get pileup vertex z positions - if(pileupInfos.isValid()) { - edm::View::const_iterator iterPU; - for(edm::View::const_iterator iterPU = pileupInfos->begin(); iterPU != pileupInfos->end(); iterPU++) { - // Out of time pileup is also saved -> need to require 0th bunch crossing (in time bunch crossing) - if(iterPU->getBunchCrossing() == 0){ - pileupZPosition_ = iterPU->getPU_zpositions(); - numTruePV_ = iterPU->getTrueNumInteractions(); - } - } - } - - //std::sort(recHitInfos_.begin(),recHitInfos_.end(),hitInfoOrder()); - - std::cout << "Creating tensor for input variables" << std::endl; - input_ = tensorflow::Tensor(tensorflow::DT_FLOAT, tensorflow::TensorShape{1 , 176}); - - auto networkScores_ = std::make_unique(); //(new std::vector ()); - std::vector v_networkScores_; - - int track_num = 0; - - for(auto &track : trackInfos_) - { - - std::vector> hitMap = getHitMap(track.dEdxInfo); - std::pair maxHits = getMaxHits(track.dEdxInfo); - unsigned long encodedLayers = encodeLayers(hitMap); - std::pair, std::array> closest_vtx = getClosestVertices(vertexInfos_, track.vz, track.vx, track.vy); - - //if(maxHits.first == 0) std::cout << "test"; - //if((closest_dz.first)[0] == 0) std::cout <<"test"; - - - input_.tensor()(0, 0) = nPV_; - input_.tensor()(0, 1) = track.trackIso; - input_.tensor()(0, 2) = track.eta; - input_.tensor()(0, 3) = track.phi; - input_.tensor()(0, 4) = track.nValidPixelHits; - input_.tensor()(0, 5) = track.nValidHits; - input_.tensor()(0, 6) = track.missingOuterHits; - input_.tensor()(0, 7) = track.dEdxPixel; - input_.tensor()(0, 8) = track.dEdxStrip; - input_.tensor()(0, 9) = track.numMeasurementsPixel; - input_.tensor()(0, 10) = track.numMeasurementsStrip; - input_.tensor()(0, 11) = track.numSatMeasurementsPixel; - input_.tensor()(0, 12) = track.numSatMeasurementsStrip; - input_.tensor()(0, 13) = track.dRMinJet; - input_.tensor()(0, 14) = track.ecalo; - input_.tensor()(0, 15) = track.pt; - input_.tensor()(0, 16) = track.d0; - input_.tensor()(0, 17) = track.dz; - input_.tensor()(0, 18) = track.charge; //need to create function to get total rec hit energy - input_.tensor()(0, 19) = track.deltaRToClosestElectron; - input_.tensor()(0, 20) = track.deltaRToClosestMuon; - input_.tensor()(0, 21) = track.deltaRToClosestTauHad; - input_.tensor()(0, 22) = 0; //track.normalizedChi2; - input_.tensor()(0, 23) = maxHits.second; - input_.tensor()(0, 24) = maxHits.first; - input_.tensor()(0, 25) = encodedLayers; - input_.tensor()(0, 26) = (closest_vtx.first)[0]; - input_.tensor()(0, 27) = (closest_vtx.first)[1]; - input_.tensor()(0, 28) = (closest_vtx.first)[2]; - input_.tensor()(0, 29) = (closest_vtx.second)[0]; - input_.tensor()(0, 30) = (closest_vtx.second)[1]; - input_.tensor()(0, 31) = (closest_vtx.second)[2]; - - for(unsigned int i=0; i()(0,23+j+i*hitMap[i].size()) = hitMap[i][j]; - input_.tensor()(0,32+j+i*hitMap[i].size()) = hitMap[i][j]; - } - } - - std::vector outputs; - tensorflow::run(session_, {{inputTensorName_, input_}}, {outputTensorName_}, &outputs); - - std::cout << " -> " << outputs[0].matrix()(0, 0) << " " << outputs[0].matrix()(0, 1) << std::endl; - - std::cout << "output tensor size: " << outputs[0].shape().dims() << " " << outputs[0].shape().dim_size(0) << std::endl; - - - - float score = outputs[0].matrix()(0,0); - v_networkScores_.push_back(score); - - track_num++; - - }// end of track loop - - int counter = 0; - //std::cout << "About to place score into product" << std::endl; - for(std::vector::iterator it = v_networkScores_.begin(); it != v_networkScores_.end(); it++){ - networkScores_->addOutput(*it); - counter++; - } - - event.put(std::move(networkScores_), "networkScores"); - -} - -// ------------ method called once each stream before processing any runs, lumis or events ------------ -void TensorflowProducer::beginStream(edm::StreamID) { - // please remove this method if not needed -} - -// ------------ method called once each stream after processing all runs, lumis and events ------------ -void TensorflowProducer::endStream() { - // please remove this method if not needed -} - -// ------------ method called when starting to processes a run ------------ -/* -void -TensorflowProducer::beginRun(edm::Run const&, edm::EventSetup const&) -{ -} -*/ - -// ------------ method called when ending the processing of a run ------------ - -/*void TensorflowProducer::endRun(const edm::Run& Run, const edm::EventSetup& setup) { - // close the session - tensorflow::closeSession(session_); -}*/ - -// ------------ method called when starting to processes a luminosity block ------------ -/* -void -TensorflowProducer::beginLuminosityBlock(edm::LuminosityBlock const&, edm::EventSetup const&) -{ -} -*/ - -// ------------ method called when ending the processing of a luminosity block ------------ -/* -void -TensorflowProducer::endLuminosityBlock(edm::LuminosityBlock const&, edm::EventSetup const&) -{ -} -*/ - -// ------------ method fills 'descriptions' with the allowed parameters for the module ------------ -void TensorflowProducer::fillDescriptions(edm::ConfigurationDescriptions& descriptions) { - //The following says we do not know what parameters are allowed so do no validation - // Please change this to state exactly what you do use, even if it is no parameters - edm::ParameterSetDescription desc; - desc.add("graphPath"); - desc.add("inputTensorName"); - desc.add("outputTensorName"); - - desc.add("triggers"), - desc.add("triggerObjects"), - desc.add("genParticles"); - desc.add("met"); - desc.add("electrons"); - desc.add("muons"); - desc.add("taus"); - desc.add("pfCandidates"); - desc.add("vertices"); - desc.add("jets"); - - desc.add("rhoCentralCalo"); - - desc.add("EBRecHits"); - desc.add("EERecHits"); - desc.add("ESRecHits"); - desc.add("HBHERecHits"); - - - desc.add("dEdxPixel"); - desc.add("dEdxStrip"); - desc.add("isoTrk2dedxHitInfo"); - desc.add("isolatedTracks"); - - desc.add("pileupInfo"); - - desc.add("minGenParticlePt"); - desc.add("minTrackPt"); - desc.add("maxRelTrackIso"); - - desc.add("dataTakingPeriod"); - - desc.add("etaRangeNearTrack"); - desc.add("phiRangeNearTrack"); - desc.add("maxNumOfRecHits"); - desc.add>("signalTriggerNames"); - desc.add>("metFilterNames"); - - descriptions.addWithDefaultLabel(desc); -} - -std::unique_ptr TensorflowProducer::initializeGlobalCache(const edm::ParameterSet& config) { - // this method is supposed to create, initialize and return a CacheData instance - - std::unique_ptr cache = std::make_unique(); - - // load the graph def and save it - std::string graphPath = config.getParameter("graphPath"); - if (!graphPath.empty()) { - graphPath = edm::FileInPath(graphPath).fullPath(); - cache->graphDef = tensorflow::loadGraphDef(graphPath); - } - - return cache; -} - -void TensorflowProducer::globalEndJob(const CacheData* cacheData) { - // reset the graphDef - if (cacheData->graphDef != nullptr) { - delete cacheData->graphDef; - } -} - -void -TensorflowProducer::getGeometries(const edm::EventSetup &setup) { - caloGeometry_ = setup.getHandle(caloGeometryToken_); - if(!caloGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find CaloGeometryRecord in event!\n"; - - /*cscGeometry_ = setup.getHandle(cscGeometryToken_); - if(!cscGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (CSC) in event!\n"; - - dtGeometry_ = setup.getHandle(dtGeometryToken_); - if(!dtGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (DT) in event!\n"; - - rpcGeometry_ = setup.getHandle(rpcGeometryToken_); - if(!rpcGeometry_.isValid()) - throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (RPC) in event!\n";*/ - - ecalStatus_ = setup.getHandle(ecalStatusToken_); - trackerTopology_ = setup.getHandle(trackerTopologyToken_); - -} - -int -TensorflowProducer::countGoodPrimaryVertices(const vector &vertices) const -{ - int n = 0; - for(const auto &v : vertices) { - if(v.isValid() && v.ndof() >= 4 && fabs(v.z()) < 24.0 && hypot(v.x(), v.y()) < 2.0) n++; - } - return n; -} - -int -TensorflowProducer::countGoodJets(const vector &jets) const -{ - int n = 0; - vector goodJetPhis; - - for(const auto &jet : jets) { - // let's not deal with jet smearing for now... - if(jet.pt() <= 110) continue; - if(fabs(jet.eta()) >= 2.4) continue; - if(!anatools::jetPassesTightLepVeto(jet)) continue; - - n++; - } - return n; -} - -double -TensorflowProducer::getMaxDijetDeltaPhi(const vector &jets) const -{ - vector goodJetPhis; - for(const auto &jet : jets) { - if(jet.pt() > 30 && fabs(jet.eta()) < 4.5 && anatools::jetPassesTightLepVeto(jet)) goodJetPhis.push_back(jet.phi()); - } - - double maxDeltaPhi = -999.; - for(unsigned int i = 0; i < goodJetPhis.size(); i++) { - for(unsigned int j = 0; j < goodJetPhis.size(); j++) { - if(i == j) continue; - double dPhi = fabs(deltaPhi(goodJetPhis[i], goodJetPhis[j])); - if(dPhi > maxDeltaPhi) maxDeltaPhi = dPhi; - } - } - - return maxDeltaPhi; -} - -double -TensorflowProducer::getLeadingJetMetPhi(const vector &jets, const pat::MET &met) const -{ - double deltaPhiMetJetLeading = 999.; - double ptJetLeading = -1; - - for(const auto &jet : jets) { - if(jet.pt() > 30 && - fabs(jet.eta()) < 4.5 && - anatools::jetPassesTightLepVeto(jet)) { - if(jet.pt() > ptJetLeading) { - ptJetLeading = jet.pt(); - deltaPhiMetJetLeading = fabs(deltaPhi(jet, met)); - } - } - } - - return deltaPhiMetJetLeading; -} - -void -TensorflowProducer::getTracks(const reco::Vertex &pv, - const vector &jets, - const vector &electrons, - const vector &muons, - const vector &taus, - const vector &tagElectrons, - const vector &tagMuons, - const pat::MET &met, - const edm::Handle > tracks, - const edm::Handle isoTrk2dedxHitInfo, - const edm::Handle > dEdxStrip, - const edm::Handle > dEdxPixel) -{ - trackInfos_.clear(); - - - for(vector::const_iterator it_track = tracks->begin(); it_track != tracks->end(); it_track++) { - - pat::IsolatedTrack track = *it_track; - TrackInfo info; - - //apply track pt cut - if(minTrackPt_ > 0 && track.pt() <= minTrackPt_) continue; - - info.trackIso = 0.0; - for(const auto &t : *tracks) { - const auto theptinv2 = 1 / pow(track.pt(),2); - float dz_track = (track.vz() - t.vz()) - ((track.vx() - t.vx()) * track.px() + (track.vy() - t.vy()) * track.py()) * track.pz() * theptinv2; - if(fabs(dz_track) > 3.0 * hypot(track.dzError(), t.dzError())) continue; - double dR = deltaR(track, t); - if(dR < 0.3 && dR > 1.0e-12) info.trackIso += t.pt(); - } - - // apply relative track isolation cut - if(maxRelTrackIso_ > 0 && info.trackIso / track.pt() >= maxRelTrackIso_) continue; - - info.px = track.px(); - info.py = track.py(); - info.pz = track.pz(); - info.vx = track.vx(); - info.vy = track.vy(); - info.vz = track.vz(); - info.eta = track.eta(); - info.pt = track.pt(); - //info.ptError = track.ptError(); - info.phi = track.phi(); - info.charge = track.charge(); - - info.dEdxInfo.clear(); - - //edm::Ref > matchedIsolatedTrack; - //double dRToMatchedIsolatedTrack; - //findMatchedIsolatedTrack(tracks, matchedIsolatedTrack, dRToMatchedIsolatedTrack, track); - - /*if(dRToMatchedIsolatedTrack == INVALID_VALUE) { - info.dEdxInfo.push_back(TrackDeDxInfo()); - } - else { - if(isoTrk2dedxHitInfo->contains(matchedIsolatedTrack.id())) { - const reco::DeDxHitInfo * hitInfo = (*isoTrk2dedxHitInfo)[matchedIsolatedTrack].get(); - if(hitInfo == nullptr) { - //edm::LogWarning ("disappTrks_DeDxHitInfoVarProducer") << "Encountered a null DeDxHitInfo object from a pat::IsolatedTrack? Skipping this track..."; - continue; - }*/ - - edm::Ref > matchedIsolatedTrack = edm::Ref >(tracks, it_track - tracks->begin()); - - if(isoTrk2dedxHitInfo->contains(matchedIsolatedTrack.id())) { - const reco::DeDxHitInfo * hitInfo = (*isoTrk2dedxHitInfo)[matchedIsolatedTrack].get(); - if(hitInfo == nullptr) { - //edm::LogWarning ("disappTrks_DeDxHitInfoVarProducer") << "Encountered a null DeDxHitInfo object from a pat::IsolatedTrack? Skipping this track..."; - continue; - } - - for(unsigned int iHit = 0; iHit < hitInfo->size(); iHit++) { - bool isPixel = (hitInfo->pixelCluster(iHit) != nullptr); - bool isStrip = (hitInfo->stripCluster(iHit) != nullptr); - if(!isPixel && !isStrip) continue; // probably shouldn't happen - if(isPixel && isStrip) continue; - - //subdet Id = {1, pbx}, {2, pxf}, {3, tib}, {4, tid}, {5, tob}, {6, tec} - int subDet = hitInfo->detId(iHit).subdetId(); - if(subDet == PixelSubdetector::PixelBarrel) subDet = 1; - else if (subDet == PixelSubdetector::PixelEndcap) subDet = 2; - else if(subDet == StripSubdetector::TIB) subDet = 3; //N.B. in CMSSW_11 StripSubdetector -> SiStripSubdetector - else if (subDet == StripSubdetector::TID) subDet = 4; - else if (subDet == StripSubdetector::TOB) subDet = 5; - else if (subDet == StripSubdetector::TEC) subDet = 6; - - float norm = isPixel ? 3.61e-06 : 3.61e-06 * 265; - - info.dEdxInfo.push_back( - TrackDeDxInfo(subDet, - norm * hitInfo->charge(iHit) / hitInfo->pathlength(iHit), - isPixel ? hitInfo->pixelCluster(iHit)->size() : -1, - isPixel ? hitInfo->pixelCluster(iHit)->sizeX() : -1, - isPixel ? hitInfo->pixelCluster(iHit)->sizeY() : -1, -#if CMSSW_VERSION_CODE >= CMSSW_VERSION(12,4,0) - isStrip ? deDxTools::shapeSelection(*(hitInfo->stripCluster(iHit))) : false, -#else - isStrip ? deDxTools::shapeSelection(*(hitInfo->stripCluster(iHit))) : false, -#endif - hitInfo->pos(iHit).x(), - hitInfo->pos(iHit).y(), - hitInfo->pos(iHit).z(), - trackerTopology_->layer(hitInfo->detId(iHit)))); // gives layer within sub detector - } - } // if isoTrk in association map - else { - info.dEdxInfo.push_back(TrackDeDxInfo()); // if somehow the matched isoTrk isn't in the hitInfo? - } - //} //if dRToMatchedIsoTrk != invalid - - /*edm::Ref > matchedGenTrack; - double dRToMatchedGenTrack; - findMatchedGenTrack(genTracks, matchedGenTrack, dRToMatchedGenTrack, track); - if(dRToMatchedGenTrack == INVALID_VALUE){ - info.dEdxPixel = -10; - info.numMeasurementsPixel = -10; - info.numSatMeasurementsPixel = -10; - info.dEdxStrip = -10; - info.numMeasurementsStrip = -10; - info.numSatMeasurementsStrip = -10; - } - else{ - const reco::DeDxData &dEdxDataPixel = (*dEdxPixel)[matchedGenTrack]; - const reco::DeDxData &dEdxDataStrip = (*dEdxStrip)[matchedGenTrack]; - - info.dEdxPixel = dEdxDataPixel.dEdx(); - info.numMeasurementsPixel = dEdxDataPixel.numberOfMeasurements(); - info.numSatMeasurementsPixel = dEdxDataPixel.numberOfSaturatedMeasurements(); - info.dEdxStrip = dEdxDataStrip.dEdx(); - info.numMeasurementsStrip = dEdxDataStrip.numberOfMeasurements(); - info.numSatMeasurementsStrip = dEdxDataStrip.numberOfSaturatedMeasurements(); - }*/ - - info.dEdxPixel = track.dEdxPixel(); - info.dEdxStrip = track.dEdxStrip(); - info.numMeasurementsPixel = track.hitPattern().numberOfValidPixelHits(); - info.numMeasurementsStrip = track.hitPattern().numberOfValidStripHits(); - - - info.dRMinJet = -1; - for(const auto &jet : jets) { - if(jet.pt() > 30 && - fabs(jet.eta()) < 4.5 && - (((jet.neutralHadronEnergyFraction()<0.90 && jet.neutralEmEnergyFraction()<0.90 && (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && jet.muonEnergyFraction()<0.8) && ((fabs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || fabs(jet.eta())>2.4) && fabs(jet.eta())<=3.0) - || (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && fabs(jet.eta())>3.0))) { - double dR = deltaR(track, jet); - if(info.dRMinJet < 0 || dR < info.dRMinJet) info.dRMinJet = dR; - } - } - - bool inTOBCrack = (fabs(track.dz()) < 0.5 && fabs(M_PI_2 - track.theta()) < 1.0e-3); - bool inECALCrack = (fabs(track.eta()) >= 1.42 && fabs(track.eta()) <= 1.65); - bool inDTWheelGap = (fabs(track.eta()) >= 0.15 && fabs(track.eta()) <= 0.35); - bool inCSCTransitionRegion = (fabs(track.eta()) >= 1.55 && fabs(track.eta()) <= 1.85); - info.inGap = (inTOBCrack || inECALCrack || inDTWheelGap || inCSCTransitionRegion); - - info.dRMinBadEcalChannel = minDRBadEcalChannel(track); - - info.nValidPixelHits = track.hitPattern().numberOfValidPixelHits(); - info.nValidHits = track.hitPattern().numberOfValidHits(); - info.numberOfValidMuonHits = track.hitPattern().numberOfValidMuonHits(); - info.missingInnerHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::MISSING_INNER_HITS); - info.missingMiddleHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::TRACK_HITS); - info.missingOuterHits = track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::MISSING_OUTER_HITS); - info.nLayersWithMeasurement = track.hitPattern().trackerLayersWithMeasurement(); - info.pixelLayersWithMeasurement = track.hitPattern().pixelLayersWithMeasurement(); - - // d0 wrt pv (2d) = (vertex - pv) cross p / |p| - info.d0 = ((track.vx() - pv.x()) * track.py() - (track.vy() - pv.y()) * track.px()) / track.pt(); - - // dz wrt pv (2d) = (v_z - pv_z) - p_z * [(vertex - pv) dot p / |p|^2] - info.dz = track.vz() - pv.z() - - ((track.vx() - pv.x()) * track.px() + (track.vy() - pv.y()) * track.py()) * track.pz() / track.pt() / track.pt(); - - //info.normalizedChi2 = track.normalizedChi2(); - info.highPurityFlag = track.isHighPurityTrack(); - - info.deltaRToClosestElectron = -1; - for(const auto &electron : electrons) { - double thisDR = deltaR(electron, track); - if(info.deltaRToClosestElectron < 0 || thisDR < info.deltaRToClosestElectron) info.deltaRToClosestElectron = thisDR; - } - - info.deltaRToClosestMuon = -1; - for(const auto &muon : muons) { - double thisDR = deltaR(muon, track); - if(info.deltaRToClosestMuon < 0 || thisDR < info.deltaRToClosestMuon) info.deltaRToClosestMuon = thisDR; - } - - info.deltaRToClosestTauHad = -1; - for(const auto &tau : taus) { - if(tau.isTauIDAvailable("againstElectronLooseMVA5")) { - if(tau.tauID("decayModeFinding") <= 0.5 || - tau.tauID("againstElectronLooseMVA5") <= 0.5 || - tau.tauID("againstMuonLoose3") <= 0.5) { - continue; - } - } - else if(tau.isTauIDAvailable("againstElectronLooseMVA6")) { - if(tau.tauID("decayModeFinding") <= 0.5 || - tau.tauID("againstElectronLooseMVA6") <= 0.5 || - tau.tauID("againstMuonLoose3") <= 0.5) { - continue; - } - } - else { - continue; - } - - double thisDR = deltaR(tau, track); - if(info.deltaRToClosestTauHad < 0 || thisDR < info.deltaRToClosestTauHad) info.deltaRToClosestTauHad = thisDR; - } - - info.passesProbeSelection = isProbeTrack(info); - - info.deltaRToClosestTagElectron = -1; - info.deltaRToClosestTagMuon = -1; - - info.isTagProbeElectron = 0; - info.isTagProbeTauToElectron = 0; - - info.isTagProbeMuon = 0; - info.isTagProbeTauToMuon = 0; - - if(info.passesProbeSelection) { - for(const auto tag : tagElectrons) { - double thisDR = deltaR(tag, track); - if(info.deltaRToClosestTagElectron < 0 || thisDR < info.deltaRToClosestTagElectron) { - info.deltaRToClosestTagElectron = thisDR; - } - info.isTagProbeElectron |= isTagProbeElePair(track, tag); - info.isTagProbeTauToElectron |= isTagProbeTauToElePair(track, tag, met); - } - - for(const auto tag : tagMuons) { - double thisDR = deltaR(tag, track); - if(info.deltaRToClosestTagMuon < 0 || thisDR < info.deltaRToClosestTagMuon) { - info.deltaRToClosestTagMuon = thisDR; - } - info.isTagProbeMuon |= isTagProbeMuonPair(track, tag); - info.isTagProbeTauToMuon |= isTagProbeTauToMuonPair(track, tag, met); - } - } - - info.ecalo = 0; // calculated in getRecHits - - trackInfos_.push_back(info); - } - - return; -} - -void -TensorflowProducer::getRecHits(const edm::Event &event) -{ - recHitInfos_.clear(); - - edm::Handle EBRecHits; - event.getByToken(EBRecHitsToken_, EBRecHits); - for(const auto &hit : *EBRecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::EB)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle EERecHits; - event.getByToken(EERecHitsToken_, EERecHits); - for(const auto &hit : *EERecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::EE)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } - - edm::Handle ESRecHits; - event.getByToken(ESRecHitsToken_, ESRecHits); - for(const auto &hit : *ESRecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::ES)); - } - - edm::Handle HBHERecHits; - event.getByToken(HBHERecHitsToken_, HBHERecHits); - for(const auto &hit : *HBHERecHits) { - math::XYZVector pos = getPosition(hit.detid()); - recHitInfos_.push_back(RecHitInfo(pos.eta(), pos.phi(), hit.energy(), -999., DetType::HCAL)); - - for(auto &info : trackInfos_) { - double dR2 = deltaR2(pos.eta(), pos.phi(), info.eta, info.phi); - if(dR2 < 0.5*0.5) info.ecalo += hit.energy(); - } - } -} - -void -TensorflowProducer::getGenParticles(const reco::CandidateView &genParticles){ - - - genParticleInfos_.clear(); - - vector cands; - vector::const_iterator found = cands.begin(); - for(reco::CandidateView::const_iterator p = genParticles.begin(); p != genParticles.end(); ++p) cands.push_back(&*p); - - for(reco::CandidateView::const_iterator p = genParticles.begin(); p != genParticles.end(); p++) { - GenParticleInfo info; - info.px = p->px(); - info.py = p->py(); - info.pz = p->pz(); - info.e = p->energy(); - - info.eta = p->eta(); - info.phi = p->phi(); - info.pt = p->pt(); - - info.vx = p->vx(); - info.vy = p->vy(); - info.vz = p->vz(); - - info.pdgId = p->pdgId(); - info.status = p->status(); - - info.mother1_index = -1; - info.mother2_index = -1; - - info.daughter1_index = -1; - info.daughter2_index = -1; - - info.nMothers = p->numberOfMothers(); - info.nDaughters = p->numberOfDaughters(); - - found = find(cands.begin(), cands.end(), p->mother(0)); - if(found != cands.end()) info.mother1_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->mother(p->numberOfMothers() - 1)); - if(found != cands.end()) info.mother2_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->daughter(0)); - if(found != cands.end()) info.daughter1_index = found - cands.begin(); - - found = find(cands.begin(), cands.end(), p->daughter(p->numberOfDaughters() - 1)); - if(found != cands.end()) info.daughter2_index = found - cands.begin(); - - const reco::GenParticle* gp = dynamic_cast(&*p); - - info.isPromptFinalState = gp->isPromptFinalState(); - info.isDirectPromptTauDecayProductFinalState = gp->isDirectPromptTauDecayProductFinalState(); - info.isHardProcess = gp->isHardProcess(); - info.fromHardProcessFinalState = gp->fromHardProcessFinalState(); - info.fromHardProcessBeforeFSR = gp->fromHardProcessBeforeFSR(); - info.isFirstCopy = gp->statusFlags().isFirstCopy(); - info.isLastCopy = gp->isLastCopy(); - info.isLastCopyBeforeFSR = gp->isLastCopyBeforeFSR(); - - genParticleInfos_.push_back(info); - } -} - -const math::XYZVector -TensorflowProducer::getPosition(const DetId& id) const -{ - if(!caloGeometry_->getSubdetectorGeometry(id) || !caloGeometry_->getSubdetectorGeometry(id)->getGeometry(id) ) { - throw cms::Exception("FatalError") << "Failed to access geometry for DetId: " << id.rawId(); - return math::XYZVector(0,0,0); - } - const GlobalPoint idPosition = caloGeometry_->getSubdetectorGeometry(id)->getGeometry(id)->getPosition(); - math::XYZVector idPositionRoot(idPosition.x(), idPosition.y(), idPosition.z()); - return idPositionRoot; -} - -vector -TensorflowProducer::getTagElectrons(const edm::Event &event, - const edm::TriggerResults &triggers, - const vector &trigObjs, - const reco::Vertex &vertex, - const vector &electrons) -{ - vector tagElectrons; - - for(const auto &electron : electrons) { - if(electron.pt() <= (is2017_ ? 35 : 32)) continue; - - if(!anatools::isMatchedToTriggerObject(event, - triggers, - electron, - trigObjs, - "hltEgammaCandidates::HLT", - (is2017_ ? "hltEle35noerWPTightGsfTrackIsoFilter" : "hltEle32WPTightGsfTrackIsoFilter"))) { - continue; // cutElectronMatchToTrigObj - } - - if(fabs(electron.eta()) >= 2.1) continue; - if(!electron.electronID(is2017_ ? "cutBasedElectronID-Fall17-94X-V1-tight" : "cutBasedElectronID-Fall17-94X-V2-tight")) continue; - - if(fabs(electron.superCluster()->eta()) <= 1.479) { - if(fabs(electron.gsfTrack()->dxy(vertex.position())) >= 0.05) continue; - if(fabs(electron.gsfTrack()->dz(vertex.position())) >= 0.10) continue; - } - else { - if(fabs(electron.gsfTrack()->dxy(vertex.position())) >= 0.10) continue; - if(fabs(electron.gsfTrack()->dz(vertex.position())) >= 0.20) continue; - } - - tagElectrons.push_back(electron); - } - - return tagElectrons; -} - -vector -TensorflowProducer::getTagMuons(const edm::Event &event, - const edm::TriggerResults &triggers, - const vector &trigObjs, - const reco::Vertex &vertex, - const vector &muons) -{ - vector tagMuons; - - for(const auto &muon : muons) { - if(muon.pt() <= (is2017_ ? 29 : 26)) continue; - if(fabs(muon.eta()) >= 2.1) continue; - if(!muon.isTightMuon(vertex)) continue; - - double iso = muon.pfIsolationR04().sumNeutralHadronEt + - muon.pfIsolationR04().sumPhotonEt + - -0.5 * muon.pfIsolationR04().sumPUPt; - iso = muon.pfIsolationR04().sumChargedHadronPt + max(0.0, iso); - if(iso / muon.pt() >= 0.15) continue; - - if(!anatools::isMatchedToTriggerObject(event, - triggers, - muon, - trigObjs, - (is2017_ ? "hltIterL3MuonCandidates::HLT" : "hltHighPtTkMuonCands::HLT"), - (is2017_ ? "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07" : "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07"))) { - continue; // cutMuonMatchToTrigObj - } - - tagMuons.push_back(muon); - } - - return tagMuons; -} - -const bool -TensorflowProducer::isProbeTrack(const TrackInfo info) const -{ - if(info.pt <= 30 || - fabs(info.eta) >= 2.1 || - // skip fiducial sElectrons - info.nValidPixelHits < 4 || - info.nValidHits < 4 || - info.missingInnerHits != 0 || - info.missingMiddleHits != 0 || - info.trackIso / info.pt >= 0.05 || - fabs(info.d0) >= 0.02 || - fabs(info.dz) >= 0.5 || - // skip lepton vetoes - fabs(info.dRMinJet) <= 0.5) { - return false; - } - - return true; -} - -const unsigned int -TensorflowProducer::isTagProbeElePair(const pat::IsolatedTrack &probe, const pat::Electron &tag) const -{ - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.000510998928 * 0.000510998928)); // energyOfElectron() - - if(fabs((t + p).M() - 91.1876) >= 10.0) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -TensorflowProducer::isTagProbeTauToElePair(const pat::IsolatedTrack &probe, - const pat::Electron &tag, - const pat::MET &met) const -{ - double dPhi = deltaPhi(tag.phi(), probe.phi()); - if(sqrt(2.0 * tag.pt() * probe.pt() * (1 - cos(dPhi))) >= 40) return false; // cutElectronLowMT - - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.000510998928 * 0.000510998928)); // energyOfElectron() - - double invMass = (t + p).M(); - - if(invMass <= 91.1876 - 50 || invMass >= 91.1876 - 15) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -TensorflowProducer::isTagProbeMuonPair(const pat::IsolatedTrack &probe, const pat::Muon &tag) const -{ - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.1056583715 * 0.1056583715)); // energyOfMuon() - - if(fabs((t + p).M() - 91.1876) >= 10.0) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const unsigned int -TensorflowProducer::isTagProbeTauToMuonPair(const pat::IsolatedTrack &probe, - const pat::Muon &tag, - const pat::MET &met) const -{ - double dPhi = deltaPhi(tag.phi(), probe.phi()); - if(sqrt(2.0 * tag.pt() * probe.pt() * (1 - cos(dPhi))) >= 40) return false; // cutMuonLowMT - - TLorentzVector t(tag.px(), tag.py(), tag.pz(), tag.energy()); - TLorentzVector p(probe.px(), - probe.py(), - probe.pz(), - sqrt(probe.px() * probe.px() + - probe.py() * probe.py() + - probe.pz() * probe.pz() + - 0.1056583715 * 0.1056583715)); // energyOfMuon() - - double invMass = (t + p).M(); - - if(invMass <= 91.1876 - 50 || invMass >= 91.1876 - 15) return 0b00; - return (tag.charge() * probe.charge() < 0) ? 0b01 : 0b10; -} - -const double -TensorflowProducer::minDRBadEcalChannel(const pat::IsolatedTrack &track) const -{ - double trackEta = track.eta(), trackPhi = track.phi(); - - double min_dist = -1; - DetId min_detId; - - map >::const_iterator bitItor; - for(bitItor = EcalAllDeadChannelsBitMap_.begin(); bitItor != EcalAllDeadChannelsBitMap_.end(); bitItor++) { - DetId maskedDetId = bitItor->first; - map >::const_iterator valItor = EcalAllDeadChannelsValMap_.find(maskedDetId); - if(valItor == EcalAllDeadChannelsValMap_.end()){ - cout << "Error cannot find maskedDetId in EcalAllDeadChannelsValMap_ ?!" << endl; - continue; - } - - double eta = (valItor->second)[0], phi = (valItor->second)[1]; - double dist = reco::deltaR(eta, phi, trackEta, trackPhi); - - if(min_dist > dist || min_dist < 0) { - min_dist = dist; - min_detId = maskedDetId; - } - } - - return min_dist; -} - -void -TensorflowProducer::getChannelStatusMaps() -{ - EcalAllDeadChannelsValMap_.clear(); - EcalAllDeadChannelsBitMap_.clear(); - - // Loop over EB ... - for(int ieta = -85; ieta <= 85; ieta++) { - for(int iphi = 0; iphi <= 360; iphi++) { - if(!EBDetId::validDetId(ieta, iphi)) continue; - - const EBDetId detid = EBDetId(ieta, iphi, EBDetId::ETAPHIMODE); - EcalChannelStatus::const_iterator chit = ecalStatus_->find(detid); - // refer https://twiki.cern.ch/twiki/bin/viewauth/CMS/EcalChannelStatus - int status = (chit != ecalStatus_->end()) ? chit->getStatusCode() & 0x1F : -1; - - const CaloSubdetectorGeometry * subGeom = caloGeometry_->getSubdetectorGeometry(detid); - auto cellGeom = subGeom->getGeometry(detid); - double eta = cellGeom->getPosition().eta(); - double phi = cellGeom->getPosition().phi(); - double theta = cellGeom->getPosition().theta(); - - if(status >= 3) { // maskedEcalChannelStatusThreshold_ - vector valVec; - vector bitVec; - - valVec.push_back(eta); - valVec.push_back(phi); - valVec.push_back(theta); - - bitVec.push_back(1); - bitVec.push_back(ieta); - bitVec.push_back(iphi); - bitVec.push_back(status); - - EcalAllDeadChannelsValMap_.insert(make_pair(detid, valVec)); - EcalAllDeadChannelsBitMap_.insert(make_pair(detid, bitVec)); - } - } // end loop iphi - } // end loop ieta - - // Loop over EE detid - for(int ix = 0; ix <= 100; ix++) { - for(int iy = 0; iy <= 100; iy++) { - for(int iz = -1; iz <= 1; iz++) { - if(iz == 0) continue; - if(!EEDetId::validDetId(ix, iy, iz)) continue; - - const EEDetId detid = EEDetId(ix, iy, iz, EEDetId::XYMODE); - EcalChannelStatus::const_iterator chit = ecalStatus_->find(detid); - int status = (chit != ecalStatus_->end()) ? chit->getStatusCode() & 0x1F : -1; - - const CaloSubdetectorGeometry * subGeom = caloGeometry_->getSubdetectorGeometry(detid); - auto cellGeom = subGeom->getGeometry(detid); - double eta = cellGeom->getPosition().eta(); - double phi = cellGeom->getPosition().phi(); - double theta = cellGeom->getPosition().theta(); - - if(status >= 3) { // maskedEcalChannelStatusThreshold_ - vector valVec; - vector bitVec; - - valVec.push_back(eta); - valVec.push_back(phi); - valVec.push_back(theta); - - bitVec.push_back(2); - bitVec.push_back(ix); - bitVec.push_back(iy); - bitVec.push_back(iz); - bitVec.push_back(status); - - EcalAllDeadChannelsValMap_.insert(make_pair(detid, valVec)); - EcalAllDeadChannelsBitMap_.insert(make_pair(detid, bitVec)); - } - } // end loop iz - } // end loop iy - } // end loop ix -} - -std::vector> -TensorflowProducer::getHitMap(const vector trackDeDxInfos) const { - - //hit.hitLayerId, hit.charge, hit.subDet, hit.pixelHitSize, - //hit.pixelHitSizeX, hit.pixelHitSizeY, hit.stripShapeSelection, hit.hitPosX, hit.hitPosY] - - int hitsWanted = 16; - int numHitVar = 9; - int numHits = 0; - bool newLayer = true; - std::vector> layerHits(hitsWanted, vector(numHitVar)); - - for(auto &hit : trackDeDxInfos){ - - newLayer = true; - - //std::cout << "Get Hit Map, sub detector: " << hit.subDet << ", layer: " << hit.hitLayerId << ", energy: " << hit.charge << ", num hits: " << numHits<< std::endl; - - //if(numHits == hitsWanted-1) break; //check if greater hits then break - - for(int i=0; i < numHits; i++){ - //check to see if this detector/layer already has a hit - if(hit.subDet == layerHits[i][2] && hit.hitLayerId == layerHits[i][0]){ - newLayer = false; - //check if the hit has more energy, want to have max energy hit in detector/layer - if(hit.charge > layerHits[i][1]){ - std::vector thisLayer = {(double)hit.hitLayerId, (double)hit.charge, (double)hit.subDet, (double)hit.pixelHitSize, (double)hit.pixelHitSizeX, (double)hit.pixelHitSizeY, - (double)hit.stripShapeSelection, (double)hit.hitPosX, (double)hit.hitPosY}; - layerHits[i] = thisLayer; - } - break; - } - } //end loop over existing hits - if(newLayer && numHits < hitsWanted-1){ - std::vector thisLayer = {(double)hit.hitLayerId, (double)hit.charge, (double)hit.subDet, (double)hit.pixelHitSize, (double)hit.pixelHitSizeX, (double)hit.pixelHitSizeY, - (double)hit.stripShapeSelection, (double)hit.hitPosX, (double)hit.hitPosY}; - layerHits[numHits] = thisLayer; - numHits++; - } - - }//end loop over dedxInfos - - return layerHits; - -} - -std::pair -TensorflowProducer::getMaxHits(const vector trackDeDxInfos) const { - - double maxEnergy = 0; - double totalEnergy = 0; - - for(auto &hit : trackDeDxInfos){ - totalEnergy += hit.charge; - if(hit.charge > maxEnergy) maxEnergy = hit.charge; - } - - std::pair hitEnergy(maxEnergy, totalEnergy); - return hitEnergy; -} - -//std::bitset<29> -unsigned long -TensorflowProducer::encodeLayers(const std::vector> layerHits) const { - - //number of layers in each sub detector {pbx, pex, TIB, TOB, TID, TEC} - int numLayers[6] = {4, 3, 4, 6, 3, 9}; - - std::bitset<29> encodedHits; - - - for(unsigned int i=0; i < layerHits.size(); i++){ - - int thisLayer = layerHits[i][0]; - int thisDet = layerHits[i][2]; - int bit = thisLayer-1; - - for(int det = 0; det < thisDet-1; det++){ - bit += numLayers[det]; - } - - std::bitset<29> thisHit = 1<, std::array> -TensorflowProducer::getClosestVertices(const std::vector v_info, float track_vz, float track_vx, float track_vy) const { - - std::array d0 {{10e3, 10e3, 10e3}}; - std::array dz {{10e3, 10e3, 10e3}}; - - for(auto &info : v_info){ - float deltaZ = abs(info.vertex.Z() - track_vz); - float delta0 = abs(sqrt(pow(info.vertex.X()-track_vx,2) + pow(info.vertex.Y()-track_vy,2))); - //std::cout << "delta0: " << delta0 << " , deltaZ: " << deltaZ << std::endl; - int size = sizeof(dz)/sizeof(dz[0]); - //std::cout << "size: " << size << std::endl; - if(abs(deltaZ) < abs(dz[size-1])) dz[size-1] = deltaZ; - std::sort(dz.begin(), dz.end(), [](float i, float j){ return abs(i) < abs(j); }); - if(abs(delta0) < abs(d0[size-1])) d0[size-1] = delta0; - std::sort(d0.begin(), d0.end(), [](float i, float j){ return abs(i) < abs(j); }); - //std::cout << "d0: " << d0[0] << " " << d0[1] << " " << d0[2] << ", dz: " << dz[0] << " " << dz[1] << " " << dz[2] << std::endl; - } - - std::pair, std::array> closestVertices(dz, d0); - return closestVertices; - -} - -//define this as a plug-in -DEFINE_FWK_MODULE(TensorflowProducer); - -#endif diff --git a/StandardAnalysis/plugins/TrackCollectionAnalyzer.cc b/StandardAnalysis/plugins/TrackCollectionAnalyzer.cc index af7ba2aa7..f5930c671 100644 --- a/StandardAnalysis/plugins/TrackCollectionAnalyzer.cc +++ b/StandardAnalysis/plugins/TrackCollectionAnalyzer.cc @@ -158,11 +158,6 @@ class TrackCollectionAnalyzer : public edm::stream::EDAnalyzer<> { edm::InputTag miniEBRecHits_, miniEERecHits_; -#if CMSSW_VERSION_CODE >= CMSSW_VERSION(11,2,0) - edm::InputTag miniESRecHits_; - edm::InputTag miniHBHERecHits_, miniHCALRecHits_, miniHFRecHits_, miniHORecHits_; -#endif - edm::EDGetTokenT > candidateTracksToken_; edm::EDGetTokenT > generalTracksToken_; edm::EDGetTokenT packedCandidatesToken_; @@ -199,6 +194,14 @@ class TrackCollectionAnalyzer : public edm::stream::EDAnalyzer<> { edm::EDGetTokenT miniHORecHitsToken_; #endif + const edm::ESGetToken caloGeomToken_; + const edm::ESGetToken cscGeomToken_; + const edm::ESGetToken dtGeomToken_; + const edm::ESGetToken rpcGeomToken_; + + const edm::ESGetToken ecalStatToken_; + const edm::ESGetToken trackerTopoToken_; + edm::ESHandle caloGeometry_; edm::ESHandle cscGeometry_; edm::ESHandle dtGeometry_; @@ -207,6 +210,11 @@ class TrackCollectionAnalyzer : public edm::stream::EDAnalyzer<> { edm::ESHandle ecalStatus_; edm::ESHandle trackerTopology_; +#if CMSSW_VERSION_CODE >= CMSSW_VERSION(11,2,0) + edm::InputTag miniESRecHits_; + edm::InputTag miniHBHERecHits_, miniHCALRecHits_, miniHFRecHits_, miniHORecHits_; +#endif + edm::Service fs_; TTree * tree_; @@ -292,7 +300,13 @@ TrackCollectionAnalyzer::TrackCollectionAnalyzer(const edm::ParameterSet &cfg) : ESRecHits_ (cfg.getParameter ("ESRecHits")), HBHERecHits_ (cfg.getParameter ("HBHERecHits")), miniEBRecHits_ (cfg.getParameter ("miniEBRecHits")), - miniEERecHits_ (cfg.getParameter ("miniEERecHits")) + miniEERecHits_ (cfg.getParameter ("miniEERecHits")), + caloGeomToken_(esConsumes()), + cscGeomToken_(esConsumes()), + dtGeomToken_(esConsumes()), + rpcGeomToken_(esConsumes()), + ecalStatToken_(esConsumes()), + trackerTopoToken_(esConsumes()) #if CMSSW_VERSION_CODE >= CMSSW_VERSION(11,2,0) , miniESRecHits_ (cfg.getParameter ("miniESRecHits")), @@ -713,7 +727,7 @@ void TrackCollectionAnalyzer::analyze(const edm::Event &event, const edm::EventS double deltaRToClosestTagElectron = -1; int track_isProbeEleTrack = 0b00; //if(isProbeTrack(track, dRMinJet, trackIso)) { - for(const auto tag : tagElectrons) { + for(const auto &tag : tagElectrons) { double thisDR = deltaR(tag, track); if(deltaRToClosestTagElectron < 0 || thisDR < deltaRToClosestTagElectron) { deltaRToClosestTagElectron = thisDR; @@ -737,7 +751,7 @@ void TrackCollectionAnalyzer::analyze(const edm::Event &event, const edm::EventS double deltaRToClosestTagMuon = -1; int track_isProbeMuonTrack = 0b00; //if(isProbeTrack(track, dRMinJet, trackIso)) { - for(const auto tag : tagMuons) { + for(const auto &tag : tagMuons) { double thisDR = deltaR(tag, track); if(deltaRToClosestTagMuon < 0 || thisDR < deltaRToClosestTagMuon) { deltaRToClosestTagMuon = thisDR; @@ -882,8 +896,8 @@ TrackCollectionAnalyzer::disappearingTrackSelection( for(const auto &jet : jets) { if(jet.pt() > 30 && fabs(jet.eta()) < 4.5 && - (((jet.neutralHadronEnergyFraction()<0.90 && jet.neutralEmEnergyFraction()<0.90 && (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && jet.muonEnergyFraction()<0.8) && ((fabs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || fabs(jet.eta())>2.4) && fabs(jet.eta())<=3.0) - || (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && fabs(jet.eta())>3.0))) { + anatools::jetPassesTightLepVeto(jet) // This automatically uses the correct jet ID criteria + ) { double dR = deltaR(track, jet); if(dRMinJet < 0 || dR < dRMinJet) dRMinJet = dR; } @@ -974,8 +988,8 @@ TrackCollectionAnalyzer::disappearingTrackSelection_Nm2( for(const auto &jet : jets) { if(jet.pt() > 30 && fabs(jet.eta()) < 4.5 && - (((jet.neutralHadronEnergyFraction()<0.90 && jet.neutralEmEnergyFraction()<0.90 && (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && jet.muonEnergyFraction()<0.8) && ((fabs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || fabs(jet.eta())>2.4) && fabs(jet.eta())<=3.0) - || (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && fabs(jet.eta())>3.0))) { + anatools::jetPassesTightLepVeto(jet) // This automatically uses the correct jet ID criteria + ) { double dR = deltaR(track, jet); if(dRMinJet < 0 || dR < dRMinJet) dRMinJet = dR; } @@ -1133,8 +1147,8 @@ TrackCollectionAnalyzer::getTagMuons (const edm::Event &event, triggers, muon, trigObjs, - (is2017_ ? "hltIterL3MuonCandidates::HLT" : "hltL3MuonCandidates::HLT"), - (is2017_ ? "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07" : "hltL3crIsoL1sMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p09"))) { + (is2017_ ? "hltIterL3MuonCandidates::HLT" : "hltIterL3MuonCandidates::HLT"), + (is2017_ ? "hltL3crIsoL1sMu22Or25L1f0L2f10QL3f27QL3trkIsoFiltered0p07" : "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered"))) { continue; // cutMuonMatchToTrigObj } if(fabs(muon.eta()) >= 2.1) continue; @@ -1227,19 +1241,8 @@ TrackCollectionAnalyzer::MinDRtoJet(const vector &jets, const Candidat for(const auto &jet : jets) { if(jet.pt() > 30 && fabs(jet.eta()) < 4.5 && - (((jet.neutralHadronEnergyFraction()<0.90 && - jet.neutralEmEnergyFraction()<0.90 && - (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && - jet.muonEnergyFraction()<0.8) && - ((fabs(jet.eta())<=2.4 && - jet.chargedHadronEnergyFraction()>0 && - jet.chargedMultiplicity()>0 && - jet.chargedEmEnergyFraction()<0.90) || - fabs(jet.eta())>2.4) && - fabs(jet.eta())<=3.0) || - (jet.neutralEmEnergyFraction()<0.90 && - jet.neutralMultiplicity()>10 && - fabs(jet.eta())>3.0))) { + anatools::jetPassesTightLepVeto(jet) // This automatically uses the correct jet ID criteria + ) { double dR = deltaR(track, jet); if(dRMinJet < 0 || dR < dRMinJet) dRMinJet = dR; } @@ -1391,24 +1394,30 @@ TrackCollectionAnalyzer::getPosition(const DetId& id) const void TrackCollectionAnalyzer::getGeometries(const edm::EventSetup &setup) { - setup.get().get(caloGeometry_); + // setup.get().get(caloGeometry_); + caloGeometry_ = setup.getHandle(caloGeomToken_); if(!caloGeometry_.isValid()) throw cms::Exception("FatalError") << "Unable to find CaloGeometryRecord in event!\n"; - setup.get().get(cscGeometry_); + // setup.get().get(cscGeometry_); + cscGeometry_ = setup.getHandle(cscGeomToken_); if(!cscGeometry_.isValid()) throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (CSC) in event!\n"; - setup.get().get(dtGeometry_); + // setup.get().get(dtGeometry_); + dtGeometry_ = setup.getHandle(dtGeomToken_); if(!dtGeometry_.isValid()) throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (DT) in event!\n"; - setup.get().get(rpcGeometry_); + // setup.get().get(rpcGeometry_); + rpcGeometry_ = setup.getHandle(rpcGeomToken_); if(!rpcGeometry_.isValid()) throw cms::Exception("FatalError") << "Unable to find MuonGeometryRecord (RPC) in event!\n"; - setup.get().get(ecalStatus_); - setup.get().get(trackerTopology_); + // setup.get().get(ecalStatus_); + // setup.get().get(trackerTopology_); + ecalStatus_ = setup.getHandle(ecalStatToken_); + trackerTopology_ = setup.getHandle(trackerTopoToken_); } #include "FWCore/Framework/interface/MakerMacros.h" diff --git a/StandardAnalysis/plugins/TriggerWeightProducer.cc b/StandardAnalysis/plugins/TriggerWeightProducer.cc index 3432c66d5..ed0a59663 100644 --- a/StandardAnalysis/plugins/TriggerWeightProducer.cc +++ b/StandardAnalysis/plugins/TriggerWeightProducer.cc @@ -59,7 +59,7 @@ class TriggerWeightProducer : public EventVariableProducer TriggerWeightProducer::TriggerWeightProducer(const edm::ParameterSet &cfg) : EventVariableProducer (cfg), - efficiencyFile_ (cfg.getParameter ("efficiencyFile")), + efficiencyFile_ (cfg.getParameter ("efficiencyFile").fullPath()), dataset_ (cfg.getParameter ("dataset")), target_ (cfg.getParameter ("target")), inclusiveMetTriggers_ (cfg.getParameter > ("inclusiveMetTriggers")), diff --git a/StandardAnalysis/python/Cuts.py b/StandardAnalysis/python/Cuts.py index a6dbde935..524086ad3 100644 --- a/StandardAnalysis/python/Cuts.py +++ b/StandardAnalysis/python/Cuts.py @@ -6,6 +6,7 @@ from DisappTrks.TriggerAnalysis.AllTriggers import * from OSUT3Analysis.Configuration.cutUtilities import * from DisappTrks.StandardAnalysis.protoConfig_cfg import UseCandidateTracks +from OSUT3Analysis.AnaTools.osuAnalysis_cfi import dataFormat import os ############################## @@ -49,7 +50,7 @@ cutString = cms.string("noMuPt > 100"), numberRequired = cms.string(">= 1"), ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): cutMet.cutString = cms.string("noMuPt > 120") print("# MetNoMu > 120 GeV") else: @@ -69,7 +70,7 @@ cutVetoJetMap2022 = cms.PSet( inputCollection = cms.vstring("eventvariables"), - cutString = cms.string("jetVeto2022 == 0"), + cutString = cms.string("jetVeto2022 == 1"), numberRequired = cms.string(">= 1"), ) @@ -103,9 +104,16 @@ cutString = cms.string("passecalBadCalibFilterUpdate"), numberRequired = cms.string(">= 1"), ) +# This was used for Run 2 and is different for Run 3; changing the name here to not have to +# change this cut in every selection that uses it +# cutMetFilters = cms.PSet( +# inputCollection = cms.vstring("mets"), +# cutString = cms.string("badPFMuonFilter && badChargedCandidateFilter && passecalBadCalibFilterUpdate"), +# numberRequired = cms.string(">= 1"), +# ) cutMetFilters = cms.PSet( inputCollection = cms.vstring("mets"), - cutString = cms.string("badPFMuonFilter && badChargedCandidateFilter && passecalBadCalibFilterUpdate"), + cutString = cms.string("passecalBadCalibFilterUpdate"), numberRequired = cms.string(">= 1"), ) @@ -315,7 +323,7 @@ )") print('# Using 2018 reqs for Jet TightLepVeto') -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): cutJetTightLepVeto.cutString = cms.string("\ (\ (abs(eta) <= 2.6 && neutralHadronEnergyFraction<0.99 && neutralEmEnergyFraction<0.90 && (chargedMultiplicity + neutralMultiplicity)>1 && muonEnergyFraction<0.8 && chargedHadronEnergyFraction>0.01 && chargedMultiplicity>0 && chargedEmEnergyFraction<0.80) || \ @@ -460,12 +468,29 @@ cutString = cms.string("isHighPurityTrack"), numberRequired = cms.string(">= 1"), ) + +cutDeepSets = cms.PSet( + inputCollection = cms.vstring("tracks"), + cutString = cms.string("") +) # cutTrkEtaEcalCrackVeto = cms.PSet( # TRACK ETA: NOT IN ECAL CRACKS: UPDATE CRACK BOUNDARIES # inputCollection = cms.vstring("tracks"), # cutString = cms.string("fabs ( eta ) "), # numberRequired = cms.string(">= 1"), # ) +cutTrkDeepSets = cms.PSet( + inputCollection = cms.vstring("tracks"), + cutString = cms.string("deepSetsElectronScore > 0.5"), + numberRequired = cms.string('>= 1'), +) + +cutTrkFakeNN = cms.PSet( + inputCollection = cms.vstring("tracks"), + cutString = cms.string("fakeTrackScore > 0.5"), + numberRequired = cms.string('>= 1'), +) + ######################################## ##### track number of valid hits ##### ######################################## @@ -518,7 +543,7 @@ cutTrkNValidPixelHitsSignal = cutTrkNValidPixelHits[3] cutTrkNValidHitsSignal = cutTrkNValidHits[7] cutTrkNValidHitsVariations = {"NHits" + str(x) : cutTrkNValidHitsExclusive[x] for x in range(3, 7)} -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): cutTrkNValidPixelHitsSignal = cutTrkNValidPixelHits[4] cutTrkNValidHitsSignal = cutTrkNValidHits[4] cutTrkNValidHitsVariations.update({"NHits7plus" : cutTrkNValidHits[7]}) @@ -627,9 +652,10 @@ numberRequired = cms.string(">= 1"), ) if not UseCandidateTracks: - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): - cutTrkIso.cutString = cms.string (" ((pfIsolationDR03_.chargedHadronIso + pfIsolationDR03_.puChargedHadronIso) / pt) < 0.05") - + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + # This cut does something very similar to the old trackIsoNoPUDRp3. pfIsolationDR03_.chargedHadronIso sums the pT of all PF charged pions that are compatible to the PV in a DR 0.3 cone around an IsolatedTrack. The 0.05 requirement is the same as the one in the HLT_MET105_IsoTrk50 path. In this way, the track isolation is still PU independent, which makes the efficiency of the cut higher. + cutTrkIso.cutString = cms.string (" (pfIsolationDR03_.chargedHadronIso / pt) < 0.05") + cutTrkGsfTrkVeto = cms.PSet( inputCollection = cms.vstring("tracks"), cutString = cms.string("dRToMatchedGsfTrack > 0.15"), @@ -696,6 +722,10 @@ cutString = cms.string("caloNewNoPUDRp5CentralCalo < 10"), numberRequired = cms.string(">= 1"), ) +# If using MiniAOD only processing, the ecalo cut has to be changed to the CMSSW standard +if dataFormat == 'MINI_AOD_ONLY_2022_CUSTOM': + cutTrkEcalo.cutString = cms.string ("(matchedCaloJetEmEnergy + matchedCaloJetHadEnergy) < 10") + cutTrkNMissOut0 = cms.PSet( inputCollection = cms.vstring("tracks"), cutString = cms.string("hitAndTOBDrop_bestTrackMissingOuterHits >= 0"), @@ -736,6 +766,13 @@ cutString = cms.string("caloNewNoPUDRp5CentralCalo > 50"), numberRequired = cms.string(">= 1"), ) +# If using MiniAOD only processing, the ecalo cut has to be changed to the CMSSW standard +if dataFormat == 'MINI_AOD_ONLY_2022_CUSTOM': + cutTrkEcaloInv.cutString = cms.string ("(matchedCaloJetEmEnergy + matchedCaloJetHadEnergy) > 10") +# If using MiniAOD only processing, the ecalo cut has to be changed to the CMSSW standard +if dataFormat == 'MINI_AOD_ONLY_2022_CUSTOM': + cutTrkEcaloInv50.cutString = cms.string ("(matchedCaloJetEmEnergy + matchedCaloJetHadEnergy) > 50") + cutTrkNMissOutInv = cms.PSet( inputCollection = cms.vstring("tracks"), cutString = cms.string("hitAndTOBDrop_bestTrackMissingOuterHits <= 2"), @@ -871,7 +908,7 @@ ) if not UseCandidateTracks: - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): cutTrkD0.inputCollection = cms.vstring("tracks") cutTrkD0.cutString = cms.string("fabs (dxy) < 0.02") @@ -948,7 +985,7 @@ print("# Muon PT cut: >26 GeV (2018)") cutMuonMatchToTrigObj.cutString = cms.string ("match_HLT_IsoMu24_v") cutMuonPt.cutString = cms.string("pt > 26") -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# Muon PT cut: >26 GeV (2022) FIXME") cutMuonMatchToTrigObj.cutString = cms.string ("match_HLT_IsoMu24_v") cutMuonPt.cutString = cms.string("pt > 26") @@ -1008,7 +1045,7 @@ cutMuonPairPt.cutString = cms.string("pt > 29") elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): cutMuonPairPt.cutString = cms.string("pt > 26") -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): cutMuonPairPt.cutString = cms.string("pt > 26") cutMuonPairEta21 = cms.PSet ( @@ -1255,7 +1292,7 @@ print("# Electron PT cut: >32 GeV (2018)") cutElectronPt.cutString = cms.string("pt > 32") cutElectronMatchToTrigObj.cutString = cms.string("match_HLT_Ele32_WPTight_Gsf_v") -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# Electron PT cut: >32 GeV (2022) FIXME") cutElectronPt.cutString = cms.string("pt > 32") cutElectronMatchToTrigObj.cutString = cms.string("match_HLT_Ele32_WPTight_Gsf_v") diff --git a/StandardAnalysis/python/EventSelections.py b/StandardAnalysis/python/EventSelections.py index 1646f5baf..9aa78d049 100644 --- a/StandardAnalysis/python/EventSelections.py +++ b/StandardAnalysis/python/EventSelections.py @@ -88,6 +88,11 @@ def createHitsVariations (ch, chName): basicSelectionNoJetMetPhiCut.name = cms.string ("BasicSelectionNoJetMetPhiCut") removeCuts (basicSelectionNoJetMetPhiCut.cuts, [cutLeadingJetMetPhi]) +#test deep sets score +deepSetsSelection = copy.deepcopy(vertexCutOnly) +deepSetsSelection.name = cms.string("DeepSetsSelection") +addCuts(deepSetsSelection.cuts, [cutTrkDeepSets]) + ################################################################################ ## Testing channels to compare pat::IsolatedTrack to CandidateTrack ## in the MET dataset @@ -120,6 +125,7 @@ def createHitsVariations (ch, chName): cutTrkD0, cutTrkDZ, cutTrkJetDeltaPhi, + cutVetoJetMap2022, ] if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_"): @@ -451,6 +457,7 @@ def createHitsVariations (ch, chName): ] removeCuts(candTrkIdElecPt35.cuts, cutsToRemove) +createHitsVariations (candTrkIdElecPt35, "candTrkIdElecPt35") # Use this selection for the electron background estimate. candTrkIdElecPt35NoMet = copy.deepcopy(candTrkIdElecPt35) @@ -483,6 +490,7 @@ def createHitsVariations (ch, chName): ] removeCuts(candTrkIdMuPt35.cuts, cutsToRemove) +createHitsVariations (candTrkIdMuPt35, "candTrkIdMuPt35") # Use this selection for the electron background estimate. candTrkIdMuPt35NoMet = copy.deepcopy(candTrkIdMuPt35) @@ -514,6 +522,7 @@ def createHitsVariations (ch, chName): ] removeCuts(candTrkIdTauPt55.cuts, cutsToRemove) +createHitsVariations (candTrkIdTauPt55, "candTrkIdTauPt55") # Use this selection for the electron background estimate. candTrkIdTauPt55NoMet = copy.deepcopy(candTrkIdTauPt55) diff --git a/StandardAnalysis/python/EventWeights.py b/StandardAnalysis/python/EventWeights.py index 84dc11160..0c373135c 100644 --- a/StandardAnalysis/python/EventWeights.py +++ b/StandardAnalysis/python/EventWeights.py @@ -66,13 +66,13 @@ muonTriggerPayload = "muonTrigger2018IsoMu24LumiWeightedAveABCD" muonIDPayload = "muonID2018Tight" muonIsoPayload = "muonIso2018TightTightID" -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# EventWeights applied: 2022") - electronRecoPayload = "" #"electronReco2022" - electronIDPayload = "" #"electronID2022Tight" - muonTriggerPayload = "" #"muonTrigger2022IsoMu24LumiWeightedAveABCD" - muonIDPayload = "" #"muonID2022Tight" - muonIsoPayload = "" #"muonIso2018TightTightID" + electronRecoPayload = "electronReco2022" + electronIDPayload = "electronID2022Tight" + muonTriggerPayload = "muonTrigger2022IsoMu24" + muonIDPayload = "muonID2022Tight" + muonIsoPayload = "muonIso2022TightTightID" else: print("# EventWeights applied: 2015") electronRecoPayload = "electronReco2015" diff --git a/StandardAnalysis/python/HistogramDefinitions.py b/StandardAnalysis/python/HistogramDefinitions.py index ac30028ee..003f33f15 100644 --- a/StandardAnalysis/python/HistogramDefinitions.py +++ b/StandardAnalysis/python/HistogramDefinitions.py @@ -263,6 +263,12 @@ binsX = cms.untracked.vdouble(100, 0, 2), inputVariables = cms.vstring("caloNewNoPUDRp5CentralCalo / p"), ), + cms.PSet ( + name = cms.string("trackCaloJetEnergy"), + title = cms.string("Isolation energy calculated using matchedCaloJetEmEnergy+matchedCaloJetHadEnergy"), + binsX = cms.untracked.vdouble(100, 0, 100), + inputVariables = cms.vstring("matchedCaloJetEmEnergy + matchedCaloJetHadEnergy"), + ), cms.PSet ( name = cms.string("trackPtError"), title = cms.string("ptError;#sigma(p_{T}) [GeV]"), @@ -1180,7 +1186,7 @@ inputCollection = cms.vstring("muons", "muons"), histograms = cms.VPSet ( cms.PSet ( - name = cms.string("diMuonPt"), + name = cms.string("diMuonPtWide"), title = cms.string("Di-muon pT;p_{T} (#mu#mu)"), binsX = cms.untracked.vdouble(5000, 0, 5000), inputVariables = cms.vstring("pT (muon, muon)") diff --git a/StandardAnalysis/python/HistogramDefinitionsIsolatedTracks.py b/StandardAnalysis/python/HistogramDefinitionsIsolatedTracks.py index f26fb4f18..9a2d08075 100644 --- a/StandardAnalysis/python/HistogramDefinitionsIsolatedTracks.py +++ b/StandardAnalysis/python/HistogramDefinitionsIsolatedTracks.py @@ -15,7 +15,7 @@ def cullHistograms(histoPSet, names): # Individual histogram changes for pat::IsolatedTrack from CandidateTrack ################################################################################ -cullHistograms(TrackHistograms, ['trackd0', 'trackd0Mag']) # 'dxy' (wrt PV) instead of 'd0' +#cullHistograms(TrackHistograms, ['trackd0', 'trackd0Mag']) # 'dxy' (wrt PV) instead of 'd0' cullHistogram(TrackHistograms, 'trackChi2') # no normalizedChi2 # no track isolation @@ -38,7 +38,8 @@ def cullHistograms(histoPSet, names): cullHistograms(TrackExtraHistograms, ['trackPtError', 'trackPtErrorByPt']) # pat::IsolatedTrack's dxy and dz methods are already with respect to the PV, so we undo the correction -for histo in TrackEventVariableHistograms.histograms: +#NB this is not working, all variables have been changed in the frameworkHistogramDefinitions to use isolatedTracks dxy, dz +'''for histo in TrackEventVariableHistograms.histograms: for inputVar in histo.inputVariables: if trackDZWRTPV in inputVar: inputVar = "track.dz" @@ -46,13 +47,18 @@ def cullHistograms(histoPSet, names): for histo in TrackEventVarHistograms.histograms: for inputVar in histo.inputVariables: if trackD0WRTPV in inputVar and "fabs" in inputVar: + print("fixing dxy...", inputVar) inputVar = "fabs(track.dxy)" elif trackD0WRTPV in inputVar: + print("fixing dxy...", inputVar) inputVar = "track.dxy" elif trackDZWRTPV in inputVar and "fabs" in inputVar: + print("fixing dz...", inputVar) inputVar = "fabs(track.dz)" elif trackDZWRTPV in inputVar: inputVar = "track.dz" + print("fixing dz...", inputVar)''' + # When not producing ntuples, it's likely that electrons/muons/taus will have been selected/skimmed # So the safest place to get 'dR to closest lepton' is from the pfCandidates -- the name of these methods diff --git a/StandardAnalysis/python/IntegratedLuminosity_cff.py b/StandardAnalysis/python/IntegratedLuminosity_cff.py index b6d8b4a9a..3892386c1 100644 --- a/StandardAnalysis/python/IntegratedLuminosity_cff.py +++ b/StandardAnalysis/python/IntegratedLuminosity_cff.py @@ -384,34 +384,38 @@ def CreateCompositeLumis(allLumis, year, allPeriods): # using HLT_PFMET105_IsoTrk50_* "MET_2022A" : -1, - "MET_2022B" : 90.100668583, - "JetMET_2022C" : 5067.183864430, - "JetMET_2022D" : 3002.294492741, - "MET_2022E" : 5870.638540164, - "MET_2022F" : 18015.978262574, - "MET_2022G" : 3118.633730489, + "MET_2022B" : 89.078989610, + "JetMET_2022C" : 5010.409016184, + "JetMET_2022D" : 2970.045129108, + "MET_2022E" : 5806.955207286, + "MET_2022F" : 17781.598893382, + "MET_2022G" : 3082.753035617, # using HLT_IsoMu24_v* with Golden json files "Muon_2022A" : -1, - "Muon_2022B" : 77.329631, - "Muon_2022C" : 4476.362177, - "Muon_2022D" : 2747.864685, - "Muon_2022E" : 5878.354165, - "Muon_2022F" : 18006.977824, - "Muon_2022G" : 3121.865602, + "Muon_2022B" : 89.078989610, + "Muon_2022C" : 5010.409016184, + "Muon_2022D" : 2970.045129108, + "Muon_2022E" : 5806.955207286, + "Muon_2022F" : 17781.901464250, + "Muon_2022G" : 3082.753035617, # using HLT_Ele32_WPTight_Gsf_v* "EGamma_2022A:" : -1, - "EGamma_2022B" : 0077.329631, - "EGamma_2022C" : 4476.362177, - "EGamma_2022D" : 2747.864685, - #"EGamma_2022E" : 6.121188303, #fixme - "EGamma_2022E" : 5878.354165, - "EGamma_2022F" : -1, #fixme - "EGamma_2022G" : 3283.111599, #fixme + "EGamma_2022B" : 89.07898961, + "EGamma_2022C" : 5010.409016, + "EGamma_2022D" : 2970.045129, + "EGamma_2022E" : 5806.955207, + "EGamma_2022F" : 17781.59889, #fixme + "EGamma_2022G" : 3082.753036, #fixme "Tau_2022B" : -1, - + "Tau_2022B" : -1, + "Tau_2022B" : -1, + "Tau_2022B" : -1, + "Tau_2022B" : -1, + "Tau_2022B" : -1, + "Tau_2022B" : -1, } # now create a single lumi dict, starting with 2015 diff --git a/StandardAnalysis/python/LeptonScaleFactors.py b/StandardAnalysis/python/LeptonScaleFactors.py index a0e37930f..1cecd8257 100644 --- a/StandardAnalysis/python/LeptonScaleFactors.py +++ b/StandardAnalysis/python/LeptonScaleFactors.py @@ -193,10 +193,47 @@ ), ) +electronScaleFactors2022 = cms.VPSet ( + cms.PSet ( + inputCollection = cms.string("electrons"), + sfType = cms.string("Reco"), + version = cms.string("2022"), + ), + cms.PSet ( + inputCollection = cms.string("electrons"), + sfType = cms.string("ID"), + version = cms.string("2022"), + wp = cms.string("Tight"), + ), +) + +muonScaleFactors2022 = cms.VPSet ( + cms.PSet ( + inputCollection = cms.string("muons"), + sfType = cms.string("Trigger"), + version = cms.string("2022"), + wp = cms.string("IsoMu24"), + ), + cms.PSet ( + inputCollection = cms.string("muons"), + sfType = cms.string("ID"), + version = cms.string("2022"), + wp = cms.string("Tight"), + ), + cms.PSet ( + inputCollection = cms.string("muons"), + sfType = cms.string("Iso"), + version = cms.string("2022"), + wp = cms.string("TightTightID"), + ), +) + ElectronScaleFactorProducer = { 'name' : 'ObjectScalingFactorProducer', - 'electronFile' : cms.string(os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/electronSFs.root'), - 'muonFile' : cms.string(os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/muonSFs.root'), + # 'electronFile' : cms.string(os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/electronSFs.root'), + # 'muonFile' : cms.string(os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/muonSFs.root'), + 'electronFile' : cms.FileInPath('OSUT3Analysis/AnaTools/data/electronSFs.root'), + 'muonFile' : cms.FileInPath('OSUT3Analysis/AnaTools/data/muonSFs.root'), #'trackFile' : cms.string(os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/trackSFs.root'), 'scaleFactors' : electronScaleFactors2015, } @@ -216,9 +253,9 @@ print("# Lepton SFs: 2018") ElectronScaleFactorProducer['scaleFactors'] = electronScaleFactors2018 MuonScaleFactorProducer['scaleFactors'] = muonScaleFactors2018 -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): - print("# Lepton SFs: 2022 FIXME") - #ElectronScaleFactorProducer['scaleFactors'] = electronScaleFactors2022 - #MuonScaleFactorProducer['scaleFactors'] = muonScaleFactors2022 +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + print("# Lepton SFs: 2022") + ElectronScaleFactorProducer['scaleFactors'] = electronScaleFactors2022 + MuonScaleFactorProducer['scaleFactors'] = muonScaleFactors2022 else: print("# Lepton SFs: 2015") diff --git a/StandardAnalysis/python/METFilters.py b/StandardAnalysis/python/METFilters.py index cdef15c02..8763af87b 100644 --- a/StandardAnalysis/python/METFilters.py +++ b/StandardAnalysis/python/METFilters.py @@ -29,5 +29,14 @@ metFilters.remove("Flag_globalTightHalo2016Filter") metFilters.append("Flag_globalSuperTightHalo2016Filter") -if os.environ["CMSSW_VERSION"].startswith("CMSSW_12_4_"): - pass #FIXME +# Following recommendations in https://twiki.cern.ch/twiki/bin/view/CMS/MissingETOptionalFiltersRun2#Run_3_recommendations +# ecalBadCalibFilter is implemented in protoConfig_cfg.py +if os.environ["CMSSW_VERSION"].startswith("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + metFilters.remove("Flag_globalTightHalo2016Filter") + metFilters.remove("Flag_HBHENoiseFilter") + metFilters.remove("Flag_HBHENoiseIsoFilter") + metFilters.append("Flag_BadPFMuonFilter") + metFilters.append("Flag_BadPFMuonDzFilter") + metFilters.append("Flag_globalSuperTightHalo2016Filter") + metFilters.append("Flag_hfNoisyHitsFilter") + metFilters.append("Flag_eeBadScFilter") \ No newline at end of file diff --git a/StandardAnalysis/python/TreeBranchDefinitions.py b/StandardAnalysis/python/TreeBranchDefinitions.py index 4278e7646..fa7e21de9 100644 --- a/StandardAnalysis/python/TreeBranchDefinitions.py +++ b/StandardAnalysis/python/TreeBranchDefinitions.py @@ -94,7 +94,7 @@ if srcCTau == 10: destinationCTaus.extend([float(0.01 * i * srcCTau) for i in range(1, 11)]) for dst in destinationCTaus: - dstCTau = str(int(dst)) if dst > 1 else '0p' + str(int(10 * dst)) + dstCTau = str(int(dst)) if dst >= 1 else '0p' + str(int(10 * dst)) thisName = "lifetimeWeight_1000024_" + str(srcCTau) + "cmTo" + dstCTau + "cm" EventVariableBranches.branches.append( cms.PSet( diff --git a/StandardAnalysis/python/Triggers.py b/StandardAnalysis/python/Triggers.py index b3a658f84..34cb99c36 100644 --- a/StandardAnalysis/python/Triggers.py +++ b/StandardAnalysis/python/Triggers.py @@ -8,7 +8,7 @@ print("# Triggers: 2017") elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): print("# Triggers: 2018") -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# Triggers: 2022 FIXME") else: print("# Triggers: 2015") @@ -20,11 +20,11 @@ triggersMetAndIsoTrk = cms.vstring( "HLT_MET75_IsoTrk50_v", # trigger designed for disappearing tracks ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): triggersMetAndIsoTrk = cms.vstring( "HLT_MET105_IsoTrk50_v", # trigger designed for disappearing tracks ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): triggersMetAndIsoTrk = cms.vstring( "HLT_MET105_IsoTrk50_v", # trigger designed for disappearing tracks "HLT_MET120_IsoTrk50_v", @@ -95,7 +95,7 @@ "HLT_PFMETTypeOne200_HBHE_BeamHaloCleaned_v", ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): triggersMetInclusive = cms.vstring( 'HLT_PFMET120_PFMHT120_IDTight_v', 'HLT_PFMET130_PFMHT130_IDTight_v', @@ -104,7 +104,6 @@ 'HLT_PFMETNoMu110_PFMHTNoMu110_IDTight_FilterHF_v', 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_FilterHF_v', 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_FilterHF_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_FilterHF_v', 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_FilterHF_v', 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', @@ -139,7 +138,7 @@ "HLT_IsoMu24_v", ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): #FIXME +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): #FIXME triggersSingleMu = cms.vstring( "HLT_IsoMu24_v", ) @@ -171,7 +170,7 @@ "HLT_Ele32_WPTight_Gsf_v", ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): #FIXME +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): #FIXME triggersSingleEle = cms.vstring( "HLT_Ele32_WPTight_Gsf_v", ) @@ -194,9 +193,9 @@ "HLT_MediumChargedIsoPFTau50_Trk30_eta2p1_1pr_v", ) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): #FIXME +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): #FIXME triggersSingleTau = cms.vstring( - "HLT_IsoMu24_eta2p1_MediumDeepTauPFTauHPS20_eta2p1_SingleL1_v1", + "HLT_IsoMu24_eta2p1_MediumDeepTauPFTauHPS20_eta2p1_SingleL1_v", ) triggersZeroBias = cms.vstring( diff --git a/StandardAnalysis/python/config_cfg.py b/StandardAnalysis/python/config_cfg.py index 45f263c3a..48243d258 100644 --- a/StandardAnalysis/python/config_cfg.py +++ b/StandardAnalysis/python/config_cfg.py @@ -20,13 +20,14 @@ # Channels needed for background estimates and systematics # add_channels (process, [vertexCutOnly], histSets, weights, [], collMap, variableProducers, True) -# add_channels (process, [jetVetoMap2022], histSets, weights, [], collMap, variableProducers, True, forceNonEmptySkim=True) +# add_channels (process, [jetVetoMap2022], histSets, weights, [], collMap, variableProducers, True, forceNonEmptySkim=True) # add_channels (process, [basicSelectionNoAngularCuts], histSets, weights, [], collMap, variableProducers, False) # add_channels (process, [basicSelectionNoDijetPhiCut], histSets, weights, [], collMap, variableProducers, False) # add_channels (process, [basicSelectionNoJetMetPhiCut], histSets, weights, [], collMap, variableProducers, False) -# add_channels (process, [basicSelection], histSets, weights, [], collMap, variableProducers, True) -# add_channels (process, [justTriggersElecOnly], histSets, weights, [], collMap, variableProducers, False) -# add_channels (process, [justTriggersMuOnly], histSets, weights, [], collMap, variableProducers, False) +# add_channels (process, [basicSelection], histSets, weights, [], collMap, variableProducers, True, forceNonEmptySkim=True) +# add_channels (process, [deepSetsSelection], histSets, weights, [], collMap, variableProducers, True, forceNonEmptySkim=True) +# add_channels (process, [justTriggersElecOnly], histSets, weights, [], collMap, variableProducers, False) +# add_channels (process, [justTriggersMuOnly], istSets, weights, [], collMap, variableProducers, False) # add_channels (process, [disTrkSelectionNHits3], histSets, weights, [], collMap, variableProducers, False) # add_channels (process, [disTrkSelectionNHits4], histSets, weights, [], collMap, variableProducers, False) # add_channels (process, [disTrkSelectionNHits5], histSets, weights, [], collMap, variableProducers, False) @@ -34,7 +35,7 @@ # Channels requiring MET+jet+track # add_channels (process, [nonIsoTrkSelection], histSets, weights, [], collMap, variableProducers, False) -# add_channels (process, [isoTrkSelection], histSets, weights, [], collMap, variableProducers, False) +# add_channels (process, [isoTrkSelection], histSets, weights, [], collMap, variableProducers, False, forceNonEmptySkim=True) # add_channels (process, [isoTrkSelectionInvertDRJetCut], histSets, weights, [], collMap, variableProducers, True) # add_channels (process, [isoTrkSelectionBeforeIsoCut], histSets, weights, [], collMap, variableProducers, False) # add_channels (process, [candTrkSelection], histSets, weights, [], collMap, variableProducers, False) diff --git a/StandardAnalysis/python/customize.py b/StandardAnalysis/python/customize.py index f12b00e75..bd97b7612 100644 --- a/StandardAnalysis/python/customize.py +++ b/StandardAnalysis/python/customize.py @@ -1,15 +1,19 @@ import FWCore.ParameterSet.Config as cms import OSUT3Analysis.DBTools.osusub_cfg as osusub from DisappTrks.StandardAnalysis.utilities import * +from OSUT3Analysis.Configuration.Color import * from DisappTrks.StandardAnalysis.Triggers import * from DisappTrks.TriggerAnalysis.AllTriggers import * from OSUT3Analysis.Configuration.configurationOptions import * from DisappTrks.BackgroundEstimation.EventMETTriggerProducer_cfi import customizeForMETTriggerProducer from DisappTrks.BackgroundEstimation.EventL1ETMProducer_cfi import customizeForL1ETMProducer import os +from Configuration.AlCa.GlobalTag import GlobalTag def customize (process, runPeriod, + runEra, + realData = True, applyPUReweighting = True, applyISRReweighting = True, applyTriggerReweighting = True, @@ -19,14 +23,20 @@ def customize (process, if osusub.batchMode and (osusub.datasetLabel in types) and types[osusub.datasetLabel] != "signalMC": applyISRReweighting = False + if realData: + applyISRReweighting = False if runPeriod == "2015": - process.PUScalingFactorProducer.PU = cms.string (os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') + + data_global_tag = '76X_dataRun2_v15' + mc_global_tag = '76X_mcRun2_asymptotic_v12' + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') process.PUScalingFactorProducer.target = cms.string ("data2015") process.PUScalingFactorProducer.targetUp = cms.string ("data2015Up") process.PUScalingFactorProducer.targetDown = cms.string ("data2015Down") - process.ISRWeightProducer.weightFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') process.ISRWeightProducer.weightHist = cms.vstring('madgraphOverPythia', 'SingleMu_2015D') process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) process.ISRWeightProducer.motherIdsToReject = cms.vint32() @@ -34,7 +44,7 @@ def customize (process, process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(False) # Pythia6 + Geant style - process.TriggerWeightProducer.efficiencyFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') process.TriggerWeightProducer.dataset = cms.string('SingleMu_2015D') process.TriggerWeightProducer.target = cms.string('WJetsToLNu') process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive @@ -48,12 +58,16 @@ def customize (process, setMissingHitsCorrection (process, "2015") elif runPeriod == "2016BC": - process.PUScalingFactorProducer.PU = cms.string (os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') + + data_global_tag = '80X_dataRun2_2016SeptRepro_v6' + mc_global_tag = '80X_mcRun2_asymptotic_2016_v3' + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') process.PUScalingFactorProducer.target = cms.string ("data2016_BC") process.PUScalingFactorProducer.targetUp = cms.string ("data2016_BCUp") process.PUScalingFactorProducer.targetDown = cms.string ("data2016_BCDown") - process.ISRWeightProducer.weightFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') process.ISRWeightProducer.weightHist = cms.vstring('madgraphOverPythia', 'SingleMu_2016') process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) process.ISRWeightProducer.motherIdsToReject = cms.vint32() @@ -61,7 +75,7 @@ def customize (process, process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(False) # Pythia6 + Geant style - process.TriggerWeightProducer.efficiencyFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') process.TriggerWeightProducer.dataset = cms.string('SingleMu_2016BC') process.TriggerWeightProducer.target = cms.string('WJetsToLNu') process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive @@ -79,12 +93,16 @@ def customize (process, process.L1PrefiringWeightProducer.DataEra = cms.string("2016BtoH") elif runPeriod == "2016DEFGH": - process.PUScalingFactorProducer.PU = cms.string (os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') + + data_global_tag = '80X_dataRun2_2016SeptRepro_v6' + mc_global_tag = '80X_mcRun2_asymptotic_2016_v3' + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') process.PUScalingFactorProducer.target = cms.string ("data2016_DEFGH") process.PUScalingFactorProducer.targetUp = cms.string ("data2016_DEFGHUp") process.PUScalingFactorProducer.targetDown = cms.string ("data2016_DEFGHDown") - process.ISRWeightProducer.weightFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') process.ISRWeightProducer.weightHist = cms.vstring('madgraphOverPythia', 'SingleMu_2016') process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) process.ISRWeightProducer.motherIdsToReject = cms.vint32() @@ -92,7 +110,7 @@ def customize (process, process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(False) # Pythia6 + Geant style - process.TriggerWeightProducer.efficiencyFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') process.TriggerWeightProducer.dataset = cms.string('SingleMu_2016DEFGH') process.TriggerWeightProducer.target = cms.string('WJetsToLNu') process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive @@ -110,12 +128,16 @@ def customize (process, process.L1PrefiringWeightProducer.DataEra = cms.string("2016BtoH") elif runPeriod == "2017": - process.PUScalingFactorProducer.PU = cms.string (os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') + + data_global_tag = '94X_dataRun2_ReReco_EOY17_v6' + mc_global_tag = '94X_mc2017_realistic_v15' + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') process.PUScalingFactorProducer.target = cms.string ("data2017") process.PUScalingFactorProducer.targetUp = cms.string ("data2017Up") process.PUScalingFactorProducer.targetDown = cms.string ("data2017Down") - process.ISRWeightProducer.weightFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') process.ISRWeightProducer.weightHist = cms.vstring('madgraphOverPythia8_94X', 'SingleMu_2017') process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) process.ISRWeightProducer.motherIdsToReject = cms.vint32() @@ -123,7 +145,7 @@ def customize (process, process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(True) # Pythia8 style - process.TriggerWeightProducer.efficiencyFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') process.TriggerWeightProducer.dataset = cms.string('SingleMu_2017') process.TriggerWeightProducer.target = cms.string('WJetsToLNu_94X') process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive @@ -142,12 +164,16 @@ def customize (process, process.L1PrefiringWeightProducer.DataEra = cms.string("2017BtoF") elif runPeriod == "2018": - process.PUScalingFactorProducer.PU = cms.string (os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') + + data_global_tag = '102X_dataRun2_Sep2018ABC_v2' + mc_global_tag = '102X_upgrade2018_realistic_v18' + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') process.PUScalingFactorProducer.target = cms.string ("data2018") process.PUScalingFactorProducer.targetUp = cms.string ("data2018Up") process.PUScalingFactorProducer.targetDown = cms.string ("data2018Down") - process.ISRWeightProducer.weightFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') process.ISRWeightProducer.weightHist = cms.vstring('madgraphOverPythia8_102X', 'SingleMu_2018') process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) process.ISRWeightProducer.motherIdsToReject = cms.vint32() @@ -155,7 +181,7 @@ def customize (process, process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(True) # Pythia8 style - process.TriggerWeightProducer.efficiencyFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') process.TriggerWeightProducer.dataset = cms.string('SingleMu_2018') process.TriggerWeightProducer.target = cms.string('WJetsToLNu_102X') process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive @@ -170,15 +196,97 @@ def customize (process, setMissingHitsCorrection (process, "2018") elif runPeriod == "2022": + + data_global_tag = '124X_dataRun3_Prompt_v4' + mc_global_tag = '124X_mcRun3_2022_realistic_v12' + + if runEra in ['C','D','E']: + data_global_tag = '130X_dataRun3_v2' + elif runEra in ['F','G']: + data_global_tag = '130X_dataRun3_PromptAnalysis_v1' - # These come from the 2018 corrections - need to be fixed - process.PUScalingFactorProducer.PU = cms.string (os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/pu_disappTrks_run2.root') - process.PUScalingFactorProducer.target = cms.string ("data2018") - process.PUScalingFactorProducer.targetUp = cms.string ("data2018Up") - process.PUScalingFactorProducer.targetDown = cms.string ("data2018Down") + if runEra in ['C', 'D']: + mc_global_tag = '130X_mcRun3_2022_realistic_v5' + elif runEra in ['E', 'F', 'G']: + mc_global_tag = '130X_mcRun3_2022_realistic_postEE_v6' + + if runEra in ['C', 'D']: + strsOSUMuonProducer = [] + strsOSUTrackProducer = [] + attrs = (vars(process))['_Process__producers'] + for key,value in attrs.items(): + if (vars(value))['_TypedParameterizable__type'] == 'OSUMuonProducer': strsOSUMuonProducer.append(key) + if (vars(value))['_TypedParameterizable__type'] == 'OSUTrackProducer': strsOSUTrackProducer.append(key) + for strOSUMuonProducer in strsOSUMuonProducer: + if hasattr (process, strOSUMuonProducer): + moduleOSUMuonProducer = getattr(process, strOSUMuonProducer) + for x in moduleOSUMuonProducer.hltMatchingInfo: + if x.name.value() == "HLT_IsoMu24_v": + x.collection = cms.string("hltIterL3MuonCandidates::HLT") + x.filter = cms.string("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08") + for strOSUTrackProducer in strsOSUTrackProducer: + if hasattr (process, strOSUTrackProducer): + moduleOSUTrackProducer = getattr(process, strOSUTrackProducer) + moduleOSUTrackProducer.muonTriggerFilter = cms.string("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08") + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run3.root') + process.PUScalingFactorProducer.target = cms.string ("data2022") + process.PUScalingFactorProducer.targetUp = cms.string ("data2022Up") + process.PUScalingFactorProducer.targetDown = cms.string ("data2022Down") + process.PUScalingFactorProducer.dataset = cms.string ("mc2022_22Sep2023") # This is usually not added in here, but it makes things easier + + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run3.root') + process.ISRWeightProducer.weightHist = cms.vstring('Muon_2022F') + process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) + process.ISRWeightProducer.motherIdsToReject = cms.vint32() + process.ISRWeightProducer.requireLastNotFirstCopy = cms.bool(True) # Pythia8 style + + process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(True) # Pythia8 style + + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run3.root') + process.TriggerWeightProducer.dataset = cms.string('Muon_2022') + process.TriggerWeightProducer.target = cms.string('WJetsToLNu_2022') + process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive + process.TriggerWeightProducer.produceMetLeg = cms.bool(False) + process.TriggerWeightProducer.produceTrackLeg = cms.bool(False) + process.TriggerWeightProducer.produceGrandOr = cms.bool(True) + + if runEra in ['E', 'F', 'G']: + process.EventJetVarProducer.jetVetoMap = cms.FileInPath ('OSUT3Analysis/Configuration/data/Summer22EE_23Sep2023_RunEFG_v1.root') + print("Using jet veto map for 2022 eras E/F/G") + else: + process.EventJetVarProducer.jetVetoMap = cms.FileInPath ('OSUT3Analysis/Configuration/data/Summer22_23Sep2023_RunCD_v1.root') + print("Using jet veto map for 2022 eras C/D") + if runEra =='E': + setFiducialMaps (process, electrons="OSUT3Analysis/Configuration/data/electronFiducialMap_2022E_data.root", muons="OSUT3Analysis/Configuration/data/muonFiducialMap_2022E_data.root") + if runEra=='F': + setFiducialMaps (process, electrons="OSUT3Analysis/Configuration/data/electronFiducialMap_2022F_data.root", muons="OSUT3Analysis/Configuration/data/muonFiducialMap_2022F_data.root") + elif runEra=='G': + setFiducialMaps (process, electrons="OSUT3Analysis/Configuration/data/electronFiducialMap_2022G_data.root", muons="OSUT3Analysis/Configuration/data/muonFiducialMap_2022G_data.root") + else: + print("Warning fiducial maps not found for era {} in customize.py, will use 2022F as default".format(runEra)) + setFiducialMaps (process, electrons="OSUT3Analysis/Configuration/data/electronFiducialMap_2022F_data.root", muons="OSUT3Analysis/Configuration/data/muonFiducialMap_2022F_data.root") + + setThresholdForFiducialMapVeto (process, 2.0) + setUseEraByEraFiducialMaps (process, True) + setMissingHitsCorrection (process, "uncorrected") + + elif runPeriod == "2023": + + data_global_tag = '130X_dataRun3_PromptAnalysis_v1' + if dataEra in ['C']: + mc_global_tag = '130X_mcRun3_2023_realistic_v14' + elif dataEra in ['D']: + mc_global_tag = '130X_mcRun3_2023_realistic_postBPix_v2' + + process.PUScalingFactorProducer.PU = cms.FileInPath ('DisappTrks/StandardAnalysis/data/pu_disappTrks_run3.root') + process.PUScalingFactorProducer.target = cms.string ("data2023") + process.PUScalingFactorProducer.targetUp = cms.string ("data2023Up") + process.PUScalingFactorProducer.targetDown = cms.string ("data2023Down") + process.PUScalingFactorProducer.dataset = cms.string ("mc2023_22Sep2023") # This is usually not added in here, but it makes things easier # These come from the 2018 corrections - need to be fixed - process.ISRWeightProducer.weightFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') + process.ISRWeightProducer.weightFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/isrWeight_disappTrks_run2.root') process.ISRWeightProducer.weightHist = cms.vstring('madgraphOverPythia8_102X', 'SingleMu_2018') process.ISRWeightProducer.pdgIds = cms.vint32(1000022, 1000024) process.ISRWeightProducer.motherIdsToReject = cms.vint32() @@ -186,40 +294,46 @@ def customize (process, process.LifetimeWeightProducer.requireLastNotFirstCopy = cms.bool(True) # Pythia8 style - # These come from the 2018 corrections - need to be fixed - process.TriggerWeightProducer.efficiencyFile = cms.string(os.environ['CMSSW_BASE'] + '/src/DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run2.root') - process.TriggerWeightProducer.dataset = cms.string('SingleMu_2018') - process.TriggerWeightProducer.target = cms.string('WJetsToLNu_102X') + process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ('DisappTrks/StandardAnalysis/data/triggerEfficiencies_disappTrks_run3.root') + process.TriggerWeightProducer.dataset = cms.string('Muon_2023') + process.TriggerWeightProducer.target = cms.string('WJetsToLNu_2023') process.TriggerWeightProducer.inclusiveMetTriggers = triggersMetInclusive process.TriggerWeightProducer.produceMetLeg = cms.bool(False) process.TriggerWeightProducer.produceTrackLeg = cms.bool(False) process.TriggerWeightProducer.produceGrandOr = cms.bool(True) - #setFiducialMaps (process, electrons="OSUT3Analysis/Configuration/data/electronFiducialMap_2018_data.root", muons="OSUT3Analysis/Configuration/data/muonFiducialMap_2018_data.root") - #setThresholdForFiducialMapVeto (process, 2.0) - #setUseEraByEraFiducialMaps (process, True) + setFiducialMaps (process, electrons="OSUT3Analysis/Configuration/data/electronFiducialMap_2022F_data.root", muons="OSUT3Analysis/Configuration/data/muonFiducialMap_2022F_data.root") + setThresholdForFiducialMapVeto (process, 2.0) + setUseEraByEraFiducialMaps (process, True) setMissingHitsCorrection (process, "uncorrected") + #set the global tag + process.load('Configuration.StandardSequences.GeometryRecoDB_cff') + process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff') + if realData: + print("# Global tag: " + A_BRIGHT_CYAN + data_global_tag + A_RESET) + process.GlobalTag = GlobalTag(process.GlobalTag, data_global_tag, '') + else: + print("# Global tag: " + A_BRIGHT_CYAN + mc_global_tag + A_RESET) + process.GlobalTag = GlobalTag(process.GlobalTag, mc_global_tag, '') + if not applyPUReweighting: - process.PUScalingFactorProducer.PU = cms.string ("") + # process.PUScalingFactorProducer.PU = cms.FileInPath ("") # Path of FileInPath can't be empty; module won't do anything because the rest is empty process.PUScalingFactorProducer.target = cms.string ("") process.PUScalingFactorProducer.targetUp = cms.string ("") process.PUScalingFactorProducer.targetDown = cms.string ("") if not applyISRReweighting: - process.ISRWeightProducer.weightFile = cms.string("") + # process.ISRWeightProducer.weightFile = cms.FileInPath("") # Path of FileInPath can't be empty; module won't do anything because the rest is empty process.ISRWeightProducer.weightHist = cms.vstring() - print(process.ISRWeightProducer.weightFile, process.ISRWeightProducer.weightHist) - if not applyTriggerReweighting: - process.TriggerWeightProducer.efficiencyFile = cms.string ("") + # process.TriggerWeightProducer.efficiencyFile = cms.FileInPath ("") # Path of FileInPath can't be empty; module won't do anything because the rest is empty process.TriggerWeightProducer.dataset = cms.string ("") process.TriggerWeightProducer.target = cms.string ("") process.TriggerWeightProducer.produceMetLeg = cms.bool(False) process.TriggerWeightProducer.produceTrackLeg = cms.bool(False) - process.TriggerWeightProducer.produceGrandOr = cms.bool(False) if not applyMissingHitsCorrections: setMissingHitsCorrection (process, "uncorrected") @@ -254,6 +368,7 @@ def customize (process, getattr (process, "EventMuonTPProducer").doJetFilter = cms.bool (doJetFilter) getattr (process, "EventMuonTPProducer").triggerCollectionName = cms.string (triggerFiltersMuon[0]) getattr (process, "EventMuonTPProducer").triggerFilterName = cms.string (triggerFiltersMuon[1]) + if runPeriod == "2022" and runEra in ['C', 'D']: getattr (process, "EventMuonTPProducer").triggerFilterName = cms.string ("hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p08") getattr (process, "EventMuonTPProducer").triggerMatchingDR = cms.double (0.3) getattr (process, "EventMuonTPProducer").probeTagMatchingDR = cms.double (0.3) moveVariableProducer (process, "EventMuonTPProducer", channel) diff --git a/StandardAnalysis/python/frameworkHistogramDefinitions.py b/StandardAnalysis/python/frameworkHistogramDefinitions.py index d7affd420..9391b8ab9 100644 --- a/StandardAnalysis/python/frameworkHistogramDefinitions.py +++ b/StandardAnalysis/python/frameworkHistogramDefinitions.py @@ -1601,13 +1601,13 @@ name = cms.string("trackd0"), title = cms.string("Track d_{0};track d_{0} [cm]"), binsX = cms.untracked.vdouble(100, -0.5, 0.5), - inputVariables = cms.vstring("d0"), + inputVariables = cms.vstring("dxy"), ), cms.PSet ( name = cms.string("trackd0Mag"), title = cms.string("Track d_{0};track |d_{0}| [cm]"), binsX = cms.untracked.vdouble(50, 0.0, 0.5), - inputVariables = cms.vstring("fabs(d0)"), + inputVariables = cms.vstring("fabs(dxy)"), ), cms.PSet ( name = cms.string("trackdz"), @@ -1693,6 +1693,18 @@ binsX = cms.untracked.vdouble(getPdgBins(["quarks", "leptons", "bosons"])), inputVariables = cms.vstring("abs (genMatchedParticle.directPromptTauDecayProductFinalState.pdgId)"), ), + cms.PSet ( + name = cms.string("DeepSetsElectronScore"), + title = cms.string(";Deep Sets Electron Score"), + binsX = cms.untracked.vdouble(50.0, 0.0, 1.0), + inputVariables = cms.vstring("deepSetsElectronScore"), + ), + cms.PSet ( + name = cms.string("fakeTrackScore"), + title = cms.string(";Fake Track NN Score"), + binsX = cms.untracked.vdouble(50.0, 0.0, 1.0), + inputVariables = cms.vstring("fakeTrackScore"), + ) ) ) @@ -1740,37 +1752,37 @@ name = cms.string("trackd0WRTPV"), title = cms.string("Track d_{0} wrt leading PV;track d_{0} [cm]"), binsX = cms.untracked.vdouble(100, -0.5, 0.5), - inputVariables = cms.vstring(trackD0WRTPV), + inputVariables = cms.vstring('track.dxy'), ), cms.PSet ( name = cms.string("trackd0WRTPV_Zoom"), title = cms.string("Track d_{0} wrt leading PV;track d_{0} [cm]"), binsX = cms.untracked.vdouble(100, -0.1, 0.1), - inputVariables = cms.vstring(trackD0WRTPV), + inputVariables = cms.vstring('track.dxy'), ), cms.PSet ( name = cms.string("trackd0WRTPVMag"), title = cms.string("Track d_{0} wrt leading PV;track |d_{0}| [cm]"), binsX = cms.untracked.vdouble(50, 0, 0.5), - inputVariables = cms.vstring("fabs ( " + trackD0WRTPV + " )"), + inputVariables = cms.vstring("fabs ( " + 'track.dxy' + " )"), ), cms.PSet ( name = cms.string("trackdzWRTPV"), title = cms.string("Track d_{z} wrt leading PV;track d_{z} [cm]"), binsX = cms.untracked.vdouble(100, -10, 10), - inputVariables = cms.vstring(trackDZWRTPV), + inputVariables = cms.vstring('track.dz'), ), cms.PSet ( name = cms.string("trackdzWRTPV_Zoom"), title = cms.string("Track d_{z} wrt leading PV;track d_{z} [cm]"), binsX = cms.untracked.vdouble(100, -2, 2), - inputVariables = cms.vstring(trackDZWRTPV), + inputVariables = cms.vstring('track.dz'), ), cms.PSet ( name = cms.string("trackdzWRTPVMag"), title = cms.string("Track d_{z} wrt leading PV;track |d_{z}| [cm]"), binsX = cms.untracked.vdouble(100, 0, 10), - inputVariables = cms.vstring("fabs( " + trackDZWRTPV + " )" ), + inputVariables = cms.vstring("fabs( " + 'track.dz' + " )" ), ), ) ) diff --git a/StandardAnalysis/python/localConfig.py b/StandardAnalysis/python/localConfig.py index 620839614..1b375fe34 100644 --- a/StandardAnalysis/python/localConfig.py +++ b/StandardAnalysis/python/localConfig.py @@ -12,7 +12,7 @@ # If this is true (76X and 80X) then prunedGenParticlePlusGeant will be used for hardInteractionMcparticles # instead of prunedGenParticles -UseGeantDecays = (not os.environ['CMSSW_VERSION'].startswith('CMSSW_9_4_') and not os.environ['CMSSW_VERSION'].startswith('CMSSW_10_2_') and not os.environ['CMSSW_VERSION'].startswith('CMSSW_12_4_')) +UseGeantDecays = (not os.environ['CMSSW_VERSION'].startswith('CMSSW_9_4_') and not os.environ['CMSSW_VERSION'].startswith('CMSSW_10_2_') and not os.environ['CMSSW_VERSION'].startswith('CMSSW_12_4_') and not os.environ['CMSSW_VERSION'].startswith('CMSSW_13_0_')) print("########################################################################") print("# Switching the following since the release is " + A_BRIGHT_BLUE + os.environ["CMSSW_VERSION"] + A_RESET + ":") @@ -43,7 +43,7 @@ print("# Datasets from: " + A_BRIGHT_CYAN + "miniAOD_102X_Samples" + A_RESET) print("# Background samples from: " + A_BRIGHT_CYAN + "miniAOD_102X_Samples" + A_RESET + " (" + A_BRIGHT_YELLOW + "empty!" + A_RESET + ")") from DisappTrks.StandardAnalysis.miniAOD_102X_Samples import * -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): if UseCandidateTracks: print("CandidateTracks not supported please change UseCandidaeTracks bool to false in config_cfg.py") else: @@ -68,7 +68,7 @@ 'VV', 'SingleTop', ] -#TODO: need to check what this does and if it is useful or not for run3 CMSSW_12_4_ +#TODO: need to check what this does and if it is useful or not for run3 CMSSW_12_4_ CMSSW_13_0_ #if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): # datasetsBkgd.append('TTJetsComposite') #else: @@ -135,12 +135,17 @@ 'AMSB_chargino_1100GeV_1000cm_76X', 'AMSB_chargino_1100GeV_10000cm_76X', + 'AMSB_chargino_1200GeV_10cm_76X', + 'AMSB_chargino_1200GeV_100cm_76X', + 'AMSB_chargino_1200GeV_1000cm_76X', + 'AMSB_chargino_1200GeV_10000cm_76X', + 'AMSB_chargino_700GeV_100cm_124X', ] datasetsSigHiggsino = [] -if os.environ["CMSSW_VERSION"].startswith("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith("CMSSW_10_2_"): +if os.environ["CMSSW_VERSION"].startswith("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith("CMSSW_13_0_"): datasetsSigHiggsino = [ 'Higgsino_100GeV_10cm_76X', 'Higgsino_100GeV_100cm_76X', @@ -186,6 +191,11 @@ 'Higgsino_900GeV_100cm_76X', 'Higgsino_900GeV_1000cm_76X', 'Higgsino_900GeV_10000cm_76X', + + 'Higgsino_1000GeV_10cm_76X', + 'Higgsino_1000GeV_100cm_76X', + 'Higgsino_1000GeV_1000cm_76X', + 'Higgsino_1000GeV_10000cm_76X', ] if os.environ["CMSSW_VERSION"].startswith ("CMSSW_8_0_"): @@ -208,15 +218,14 @@ datasetsSigHiggsino[i] = re.sub (r"(.*)_76X$", r"\1_102X", datasetsSigHiggsino[i]) for i in [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100]: datasetsSig.append('AMSB_chargino_' + str(i) + 'GeV_1cm_102X') -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): - print("# Signal samples: " + A_BRIGHT_CYAN + "124X samples" + A_RESET) - #TODO: update this to use the existing MC signal samples when everything works!!! - #for i in range(0, len(datasetsSig)): - # datasetsSig[i] = re.sub (r"(.*)_76X$", r"\1_102X", datasetsSig[i]) - #for i in range (0, len (datasetsSigHiggsino)): - # datasetsSigHiggsino[i] = re.sub (r"(.*)_76X$", r"\1_102X", datasetsSigHiggsino[i]) - #for i in [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100]: - # datasetsSig.append('AMSB_chargino_' + str(i) + 'GeV_1cm_102X') +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + print("# Signal samples: " + A_BRIGHT_CYAN + "130X samples" + A_RESET) + for i in range(0, len(datasetsSig)): + datasetsSig[i] = re.sub (r"(.*)_76X$", r"\1_130X", datasetsSig[i]) + for i in range (0, len (datasetsSigHiggsino)): + datasetsSigHiggsino[i] = re.sub (r"(.*)_76X$", r"\1_130X", datasetsSigHiggsino[i]) + for i in [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200]: + datasetsSig.append('AMSB_chargino_' + str(i) + 'GeV_1cm_130X') else: print("# Signal samples: " + A_BRIGHT_CYAN + "76X samples" + A_RESET) @@ -233,6 +242,7 @@ datasetsSigShort900 = [x for x in datasetsSig if x.startswith('AMSB_chargino_900GeV_')] datasetsSigShort1000 = [x for x in datasetsSig if x.startswith('AMSB_chargino_1000GeV_')] datasetsSigShort1100 = [x for x in datasetsSig if x.startswith('AMSB_chargino_1100GeV_')] +datasetsSigShort1200 = [x for x in datasetsSig if x.startswith('AMSB_chargino_1200GeV_')] datasetsSigHiggsinoShort = copy.deepcopy(datasetsSigHiggsino) @@ -245,6 +255,7 @@ datasetsSigHiggsinoShort700 = [x for x in datasetsSigHiggsino if x.startswith('Higgsino_700GeV_')] datasetsSigHiggsinoShort800 = [x for x in datasetsSigHiggsino if x.startswith('Higgsino_800GeV_')] datasetsSigHiggsinoShort900 = [x for x in datasetsSigHiggsino if x.startswith('Higgsino_900GeV_')] +datasetsSigHiggsinoShort1000 = [x for x in datasetsSigHiggsino if x.startswith('Higgsino_1000GeV_')] #TODO: update this to use the existing MC signal samples when everything works!!! #addLifetimeReweighting (datasetsSig) @@ -260,6 +271,7 @@ '700' : 0.00572751, '800' : 0.002878806, '900' : 0.001502429, + '1000' : 0.001502429, } # set the cross sections for Higgsino samples diff --git a/StandardAnalysis/python/miniAOD_124X_Ntuples.py b/StandardAnalysis/python/miniAOD_124X_Ntuples.py new file mode 100644 index 000000000..2b4615f2e --- /dev/null +++ b/StandardAnalysis/python/miniAOD_124X_Ntuples.py @@ -0,0 +1,44 @@ + +#from https://docs.google.com/spreadsheets/d/19JS0zfIoQxH8sVOvsY1mg-Ct1Aw80Fm0TCgxewafGp8/edit?gid=371784835#gid=371784835 +eventCounts = { + + 'WToLNu_4Jets_2022EE' : 348442033, + 'DYto2L_4jets_M10to50_2022EE' : 520098100, + 'DYJetsToLL_M50_2022EE' : 94947242, + 'TbarBtoLminusNuB_2022EE' : 2762668, + 'TBbartoLplusNuBbar_2022EE' : 4469700, + 'TbarQtoLNu_2022EE' : 19537644, + 'TQbartoLNu_2022EE' : 32667420, + 'TbarWplusto2L2Nu_2022EE' : 8576050, + 'TbarWplustoLNu2Q_2022EE' : 17273607, + 'TWminusto2L2Nu_2022EE' : 8581640, + 'TWminustoLNu2Q_2022EE' : 15859351, + 'WW_2022EE' : 53619680, + 'WZ_2022EE' : 26887398, + 'ZZ_2022EE' : 4043040, + 'TTto2L2Nu_2022EE' : 85777130, + 'TTtoLNu2Q_2022EE' : 270699232, + 'TTto4Q_2022EE' : 182664317, + 'QCD_PT15to30_2022EE' : 3998528, + 'QCD_PT30to50_2022EE' : 3998508, + 'QCD_PT50to80_2022EE' : 19907875, + 'QCD_PT80to120_2022EE' : 29904828, + 'QCD_PT120to170_2022EE' : 27792681, + 'QCD_PT170to300_2022EE' : 28829984, + 'QCD_PT300to470_2022EE' : 56016158, + 'QCD_PT470to600_2022EE' : 26933590, + 'QCD_PT600to800_2022EE' : 65322580, + 'QCD_PT800to1000_2022EE' : 38576235, + 'QCD_PT1000to1400_2022EE' : 19335155, + 'QCD_PT1400to1800_2022EE' : 5690478, + 'QCD_PT1800to2400_2022EE' : 2914410, + 'QCD_PT2400to3200_2022EE' : 1900526, + 'QCD_PT3200_2022EE' : 799436, + 'Zto2Nu_4Jets_HT100to200_2022EE' : 106149804, + 'Zto2Nu_4Jets_HT200to400_2022EE' : 67339696, + 'Zto2Nu_4Jets_HT400to800_2022EE' : 7096747, + 'Zto2Nu_4Jets_HT800to1500_2022EE' : 1658103, + 'Zto2Nu_4Jets_HT1500to2500_2022EE' : 1790534, + 'Zto2Nu_4Jets_HT2500_2022EE' : 1651711 + +} \ No newline at end of file diff --git a/StandardAnalysis/python/miniAOD_124X_Samples.py b/StandardAnalysis/python/miniAOD_124X_Samples.py index 6c7b5f8ab..45aa46f4a 100644 --- a/StandardAnalysis/python/miniAOD_124X_Samples.py +++ b/StandardAnalysis/python/miniAOD_124X_Samples.py @@ -76,7 +76,7 @@ "EGamma_2022D": "/EGamma/Run2022D-22Sep2023-v1/MINIAOD", "EGamma_2022E": "/EGamma/Run2022E-22Sep2023-v1/MINIAOD", "EGamma_2022F": "/EGamma/Run2022F-22Sep2023-v1/MINIAOD", - "EGamma_2022G": "/EGamma/Run2022G-PromptReco-v1/MINIAOD", + "EGamma_2022G": "/EGamma/Run2022G-19Dec2023-v1/MINIAOD", # Tau "Tau_2022C": "/Tau/Run2022C-22Sep2023-v1/MINIAOD", "Tau_2022D": "/Tau/Run2022D-22Sep2023-v1/MINIAOD", @@ -106,37 +106,52 @@ dataset_names_bkgd = { - 'WToLNu_4Jets_PostEE' : '/WtoLNu-4Jets_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'WToLNu_2Jets_PostEE' : '/WtoLNu-2Jets_TuneCP5_13p6TeV_amcatnloFXFX-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT2-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'DYJetsToLL_M50_PostEE' : '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'WW_PostEE' : '/WW_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'WZ_PostEE' : '/WZ_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT2-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'ZZ_PostEE' : '/ZZ_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'TTto2L2Nu_PostEE' : '/TTto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'TTtoLNu2Q_PostEE' : '/TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'TTto4Q_PostEE' : '/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT15to30_PostEE' : '/QCD_PT-15to30_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT2-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT30to50_PostEE' : '/QCD_PT-30to50_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT2-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT50to80_PostEE' : '/QCD_PT-50to80_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT80to120_PostEE' : '/QCD_PT-80to120_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT120to170_PostEE' : '/QCD_PT-120to170_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT170to300_PostEE' : '/QCD_PT-170to300_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT300to470_PostEE' : '/QCD_PT-300to470_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT470to600_PostEE' : '/QCD_PT-470to600_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT600to800_PostEE' : '/QCD_PT-600to800_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT800to1000_PostEE' : '/QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT1000to1400_PostEE' : '/QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT1400to1800_PostEE' : '/QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT1800to2400_PostEE' : '/QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'QCD_PT2400to3200_PostEE' : '/QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'Zto2Nu_4Jets_HT100to200_PostEE' : '/Zto2Nu-4Jets_HT-100to200_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'Zto2Nu_4Jets_HT200to400_PostEE' : '/Zto2Nu-4Jets_HT-200to400_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'Zto2Nu_4Jets_HT400to800_PostEE' : '/Zto2Nu-4Jets_HT-400to800_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'Zto2Nu_4Jets_HT800to1500_PostEE' : '/Zto2Nu-4Jets_HT-800to1500_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'Zto2Nu_4Jets_HT1500to2500_PostEE' : '/Zto2Nu-4Jets_HT-1500to2500_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'WtoMuNu_M100to200' : '/WtoMuNu_M-100to200_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'WtoMuNu_M200to500' : '/WtoMuNu_M-200to500_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', - 'WtoMuNu_M500to1000' : '/WtoMuNu_M-500to1000_TuneCP5_13p6TeV_pythia8/borzari-Run3Summer22EEDRPremix-124X_mcRun3_2022_realistic_postEE_v1-v3_EXODisappTrkPAT-9d47b08148d63ab5a7c705d3cebd063d/USER', + 'WToLNu_4Jets_2022EE' : '/WtoLNu-4Jets_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'DYto2L_4jets_M10to50_2022EE' : '', + 'DYJetsToLL_M50_2022EE' : '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/borzari-3Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'TbarBtoLminusNuB_2022EE' : '/TbarBtoLminusNuB-s-channel-4FS_TuneCP5_13p6TeV_amcatnlo-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TBbartoLplusNuBbar_2022EE' : '/TBbartoLplusNuBbar-s-channel-4FS_TuneCP5_13p6TeV_amcatnlo-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TbarQtoLNu_2022EE' : '/TbarQtoLNu-t-channel_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TQbartoLNu_2022EE' : '/TQbartoLNu-t-channel_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TbarWplusto2L2Nu_2022EE' : '/TbarWplusto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TbarWplustoLNu2Q_2022EE' : '/TbarWplustoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TWminusto2L2Nu_2022EE' : '/TWminusto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TWminustoLNu2Q_2022EE' : '/TWminustoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'WW_2022EE' : '/WW_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'WZ_2022EE' : '/WZ_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'ZZ_2022EE' : '/ZZ_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'TTto2L2Nu_2022EE' : '/TTto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TTtoLNu2Q_2022EE' : '/TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'TTto4Q_2022EE' : '/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'QCD_PT15to30_2022EE' : '/QCD_PT-15to30_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT30to50_2022EE' : '/QCD_PT-30to50_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT50to80_2022EE' : '/QCD_PT-50to80_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT80to120_2022EE' : '/QCD_PT-80to120_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT120to170_2022EE' : '/QCD_PT-120to170_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT170to300_2022EE' : '/QCD_PT-170to300_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT300to470_2022EE' : '/QCD_PT-300to470_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT470to600_2022EE' : '/QCD_PT-470to600_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT600to800_2022EE' : '/QCD_PT-600to800_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT800to1000_2022EE' : '/QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT1000to1400_2022EE' : '/QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT1400to1800_2022EE' : '/QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT1800to2400_2022EE' : '/QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT2400to3200_2022EE' : '/QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'QCD_PT3200_2022EE' : '/QCD_PT-3200_TuneCP5_13p6TeV_pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'Zto2Nu_4Jets_HT100to200_2022EE' : '/Zto2Nu-4Jets_HT-100to200_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'Zto2Nu_4Jets_HT200to400_2022EE' : '/Zto2Nu-4Jets_HT-200to400_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'Zto2Nu_4Jets_HT400to800_2022EE' : '/Zto2Nu-4Jets_HT-400to800_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'Zto2Nu_4Jets_HT800to1500_2022EE' : '/Zto2Nu-4Jets_HT-800to1500_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'Zto2Nu_4Jets_HT1500to2500_2022EE' : '/Zto2Nu-4Jets_HT-1500to2500_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + 'Zto2Nu_4Jets_HT2500_2022EE' : '/Zto2Nu-4Jets_HT-2500_TuneCP5_13p6TeV_madgraphMLM-pythia8/borzari-Skimming_2022EE-3a8953c6b719d6563fe908b4ea7a6705/USER', + + 'DYJetsToLL_M50_merged' : '/abyss/users/mcarrigan/DYJetsToLL_M-50-merged/', } diff --git a/StandardAnalysis/python/protoConfig_cfg.py b/StandardAnalysis/python/protoConfig_cfg.py index 698c648e2..81ba2a6d0 100644 --- a/StandardAnalysis/python/protoConfig_cfg.py +++ b/StandardAnalysis/python/protoConfig_cfg.py @@ -6,24 +6,10 @@ import copy import subprocess -data_global_tag = '76X_dataRun2_v15' -mc_global_tag = '76X_mcRun2_asymptotic_v12' -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_8_0_"): - data_global_tag = '80X_dataRun2_2016SeptRepro_v6' - mc_global_tag = '80X_mcRun2_asymptotic_2016_v3' -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_"): - data_global_tag = '94X_dataRun2_ReReco_EOY17_v6' - mc_global_tag = '94X_mc2017_realistic_v15' -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): - data_global_tag = '102X_dataRun2_Sep2018ABC_v2' - mc_global_tag = '102X_upgrade2018_realistic_v18' -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): - data_global_tag = '124X_dataRun3_Prompt_v4' - mc_global_tag = '124X_mcRun3_2022_realistic_v12' ################################################################################ # Create the skeleton process ################################################################################ -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): from Configuration.Eras.Era_Run3_cff import Run3 process = cms.Process ('OSUAnalysis',Run3) else: @@ -57,12 +43,13 @@ process.source.fileNames = cms.untracked.vstring([ "root://cmsxrootd.fnal.gov//store/user/kwei/ST_tW_antitop_5f_NoFullyHadronicDecays_TuneCP5_13TeV-powheg-pythia8/RunIIAutumn18DRPremix-102X_upgrade2018_realistic_v15-DisappTrks-v1/190523_025238/0000/step1_PAT_222.root", ]) -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): process.source.inputCommands = cms.untracked.vstring(["keep *"]) process.source.fileNames = cms.untracked.vstring([ #"file:/data/users/borzari/condor/SignalMC/Run3/2022/step4/100cm/700GeV/hist_100.root", + "root://cmsxrootd.fnal.gov://store/data/Run2022D/EGamma/MINIAOD/27Jun2023-v2/2520000/07d1c948-6481-4a9c-b54b-0c559a6474ab.root", # "file:/share/scratch0/borzari/CMSSW_12_4_11_patch3/src/DisappTrks/CandidateTrackProducer/test/candidateTrack_test.root", - "file:condor/SignalMC/Run3/2022/step4/CandidateTrackProducerNoSkimming/100cm/700GeV/oneHist/hist_444.root", + # "file:condor/SignalMC/Run3/2022/step4/CandidateTrackProducerNoSkimming/100cm/700GeV/oneHist/hist_444.root", ]) # process.source.secondaryFileNames = cms.untracked.vstring([ # "file:/data/users/borzari/condor/SignalMC/Run3/2022/step3/100cm/700GeV/AMSB_chargino_M_700GeV_CTau_100cm_TuneCP5_PSweights_13p6TeV_madgraph5_pythia8/hist_19.root", @@ -100,23 +87,6 @@ process.MessageLogger.cerr.OSUJetProducer = cms.untracked.PSet( limit = cms.untracked.int32(0), ) -################################################################################ - -################################################################################ -# Add the global tag -################################################################################ -process.load('Configuration.StandardSequences.GeometryRecoDB_cff') -process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff') -from Configuration.AlCa.GlobalTag import GlobalTag -process.GlobalTag = GlobalTag(process.GlobalTag, mc_global_tag, '') -if osusub.batchMode and (osusub.datasetLabel in types) and (types[osusub.datasetLabel] == "data"): - if osusub.datasetLabel.endswith('2018D'): - data_global_tag = '102X_dataRun2_Prompt_v13' - print("# Global tag: " + data_global_tag) - process.GlobalTag = GlobalTag(process.GlobalTag, data_global_tag, '') -else: - print("# Global tag: " + mc_global_tag) -################################################################################ process.metFilterPath = cms.Path () @@ -140,18 +110,19 @@ process.passecalBadCalibFilterUpdatePath = cms.Path() -baddetEcallist = cms.vuint32( - [872439604,872422825,872420274,872423218, - 872423215,872416066,872435036,872439336, - 872420273,872436907,872420147,872439731, - 872436657,872420397,872439732,872439339, - 872439603,872422436,872439861,872437051, - 872437052,872420649,872422436,872421950, - 872437185,872422564,872421566,872421695, - 872421955,872421567,872437184,872421951, - 872421694,872437056,872437057,872437313]) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_8_0_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): + + baddetEcallist = cms.vuint32( + [872439604,872422825,872420274,872423218, + 872423215,872416066,872435036,872439336, + 872420273,872436907,872420147,872439731, + 872436657,872420397,872439732,872439339, + 872439603,872422436,872439861,872437051, + 872437052,872420649,872422436,872421950, + 872437185,872422564,872421566,872421695, + 872421955,872421567,872437184,872421951, + 872421694,872437056,872437057,872437313]) + print("# MET filters: using passecalBadCalibFilterUpdate") process.load('RecoMET.METFilters.ecalBadCalibFilter_cfi') process.ecalBadCalibReducedMINIAODFilter = cms.EDFilter( @@ -164,6 +135,24 @@ ) process.passecalBadCalibFilterUpdatePath = cms.Path (process.ecalBadCalibReducedMINIAODFilter) +# Recommended by https://twiki.cern.ch/twiki/bin/view/CMS/MissingETOptionalFiltersRun2#Run_3_recommendations + +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + + baddetEcallist = cms.vuint32([838871812]) # This is the only badly calibrated crystal in 2022 and 2023 + + print("# MET filters: using passecalBadCalibFilterUpdate") + process.load('RecoMET.METFilters.ecalBadCalibFilter_cfi') + process.ecalBadCalibReducedMINIAODFilter = cms.EDFilter( + "EcalBadCalibFilter", + EcalRecHitSource = cms.InputTag("reducedEgamma:reducedEBRecHits"), + ecalMinEt = cms.double(50.), + baddetEcal = baddetEcallist, + taggingMode = cms.bool(True), + debug = cms.bool(False) + ) + process.passecalBadCalibFilterUpdatePath = cms.Path (process.ecalBadCalibReducedMINIAODFilter) + ################################################################################ # Set up the collectionMap ################################################################################ @@ -178,7 +167,7 @@ print("# Collections: collectionMapMiniAOD2017 with candidateTrackProducer") collMap.tracks = cms.InputTag ('candidateTrackProducer') collMap.secondaryTracks = cms.InputTag ('candidateTrackProducer') -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): collMap = copy.deepcopy(collectionMapMiniAOD2022) if UseCandidateTracks: collMap.tracks = cms.InputTag ('candidateTrackProducer') diff --git a/StandardAnalysis/python/utilities.py b/StandardAnalysis/python/utilities.py index 5df32cb67..b2efae372 100644 --- a/StandardAnalysis/python/utilities.py +++ b/StandardAnalysis/python/utilities.py @@ -11,7 +11,8 @@ class AnalysisEra: is2015 = False is2016 = False is2017 = False - is2017 = False + is2018 = False + is2022 = False release = '' eraName = '' @@ -30,6 +31,9 @@ def __init__(self): elif self.release.startswith('CMSSW_10_2_'): self.is2018 = True self.eraName = '2018' + elif self.release.startswith('CMSSW_12_') or self.release.startswith('CMSSW_13_'): + self.is2022 = True + self.eraName = '2022' else: print(self.release + ' is not a valid release. Quitting.') sys.exit(0) @@ -43,6 +47,8 @@ def availableSubEras(self): return ['B', 'C', 'D', 'E', 'F'] if self.is2018: return ['A', 'B', 'C', 'D'] + if self.is2022: + return ['A', 'B', 'C', 'D', 'E', 'F'] return [] diff --git a/StandardAnalysis/scripts/findMissingMiddleHitsCorrection.py b/StandardAnalysis/scripts/findMissingMiddleHitsCorrection.py index 1f693787d..498c6b22d 100755 --- a/StandardAnalysis/scripts/findMissingMiddleHitsCorrection.py +++ b/StandardAnalysis/scripts/findMissingMiddleHitsCorrection.py @@ -27,7 +27,7 @@ if len (sys.argv) > 3: hitDrop = float (sys.argv[3]) -chi2Range = range (0, 5) +chi2Range = list(range(0, 5)) mcFile = TFile.Open (mcFileName) dataFile = TFile.Open (dataFileName) @@ -83,7 +83,7 @@ def getChi2 (hitDrop, writeHistogram = False): if (nHits, hitDrop) in extraMissingMiddleHitsPDFDict: extraMissingMiddleHitsPDF = extraMissingMiddleHitsPDFDict[(nHits, hitDrop)] else: - print " generating missing middle hits PDF for (nHits = " + str (nHits) + ", hitDrop = " + str (hitDrop) + ")..." + print(" generating missing middle hits PDF for (nHits = " + str (nHits) + ", hitDrop = " + str (hitDrop) + ")...") extraMissingMiddleHitsPDF = getMissingMiddleHitsPDF (nHits, hitDrop) extraMissingMiddleHitsPDFDict[(nHits, hitDrop)] = extraMissingMiddleHitsPDF @@ -138,11 +138,11 @@ def getChi2 (hitDrop, writeHistogram = False): if error != 0.0: chi2 += ((observed - expected) * (observed - expected)) / (error * error) N += 1 -print "chi2 for original MC: " + str (chi2 / N) +print("chi2 for original MC: " + str (chi2 / N)) if hitDrop > -1.0e12: chi2, N = getChi2 (hitDrop, writeHistogram = True) - print "chi2 for corrected MC: " + str (chi2 / N) + print("chi2 for corrected MC: " + str (chi2 / N)) else: for iteration in range (0, nIterations): hitDrop = hitDropGrid @@ -154,7 +154,7 @@ def getChi2 (hitDrop, writeHistogram = False): index = -1 for i in hitDrop: index += 1 - print "(" + str (iteration + 1) + " / " + str (nIterations) + ") trying hit inefficiency of " + str (i) + "..." + print("(" + str (iteration + 1) + " / " + str (nIterations) + ") trying hit inefficiency of " + str (i) + "...") chi2, N = getChi2 (i) if N == 0: continue @@ -165,7 +165,7 @@ def getChi2 (hitDrop, writeHistogram = False): minChi2Index = copy.deepcopy (index) g.SetPoint (n, i, chi2) n += 1 - print "(" + str (iteration + 1) + " / " + str (nIterations) + ") minimum chi2: " + str (minChi2) + " at " + str (minChi2HitAndTOBDrop) + print("(" + str (iteration + 1) + " / " + str (nIterations) + ") minimum chi2: " + str (minChi2) + " at " + str (minChi2HitAndTOBDrop)) m = TMarker (minChi2HitAndTOBDrop, minChi2, 29) m.SetMarkerSize (3) diff --git a/StandardAnalysis/scripts/findMissingOuterHitsCorrection.py b/StandardAnalysis/scripts/findMissingOuterHitsCorrection.py index 9d33ec84f..6c007985b 100755 --- a/StandardAnalysis/scripts/findMissingOuterHitsCorrection.py +++ b/StandardAnalysis/scripts/findMissingOuterHitsCorrection.py @@ -92,7 +92,7 @@ def getChi2 (hitDrop, tobDrop, writeHistogram = False): if (nHits, hitDrop) in extraMissingOuterHitsPDFDict: extraMissingOuterHitsPDF = extraMissingOuterHitsPDFDict[(nHits, hitDrop)] else: - print " generating missing outer hits PDF for (nHits = " + str (nHits) + ", hitDrop = " + str (hitDrop) + ")..." + print(" generating missing outer hits PDF for (nHits = " + str (nHits) + ", hitDrop = " + str (hitDrop) + ")...") extraMissingOuterHitsPDF = getMissingOuterHitsPDF (nHits, hitDrop) extraMissingOuterHitsPDFDict[(nHits, hitDrop)] = extraMissingOuterHitsPDF @@ -156,11 +156,11 @@ def getChi2 (hitDrop, tobDrop, writeHistogram = False): if error != 0.0: chi2 += ((observed - expected) * (observed - expected)) / (error * error) N += 1 -print "chi2 for original MC: " + str (chi2 / N) +print("chi2 for original MC: " + str (chi2 / N)) if hitDrop > -1.0e12 and tobDrop > -1.0e12: chi2, N = getChi2 (hitDrop, tobDrop, writeHistogram = True) - print "chi2 for corrected MC: " + str (chi2 / N) + print("chi2 for corrected MC: " + str (chi2 / N)) else: for iteration in range (0, nIterations): hitDrop = hitDropGrid @@ -176,7 +176,7 @@ def getChi2 (hitDrop, tobDrop, writeHistogram = False): index[1] = -1 for j in tobDrop: index[1] += 1 - print "(" + str (iteration + 1) + " / " + str (nIterations) + ") trying hit inefficiency of " + str (i) + " and TOB drop of " + str (j) + "..." + print("(" + str (iteration + 1) + " / " + str (nIterations) + ") trying hit inefficiency of " + str (i) + " and TOB drop of " + str (j) + "...") chi2, N = getChi2 (i, j) if N == 0: continue @@ -187,7 +187,7 @@ def getChi2 (hitDrop, tobDrop, writeHistogram = False): minChi2Index = copy.deepcopy (index) g.SetPoint (n, i, j, chi2) n += 1 - print "(" + str (iteration + 1) + " / " + str (nIterations) + ") minimum chi2: " + str (minChi2) + " at (" + str (minChi2HitAndTOBDrop[0]) + ", " + str (minChi2HitAndTOBDrop[1]) + ")" + print("(" + str (iteration + 1) + " / " + str (nIterations) + ") minimum chi2: " + str (minChi2) + " at (" + str (minChi2HitAndTOBDrop[0]) + ", " + str (minChi2HitAndTOBDrop[1]) + ")") m = TMarker (minChi2HitAndTOBDrop[0], minChi2HitAndTOBDrop[1], 29) m.SetMarkerSize (3) diff --git a/StandardAnalysis/scripts/makeSystematicTextFile.py b/StandardAnalysis/scripts/makeSystematicTextFile.py index 5cfb839f9..88990e208 100755 --- a/StandardAnalysis/scripts/makeSystematicTextFile.py +++ b/StandardAnalysis/scripts/makeSystematicTextFile.py @@ -12,7 +12,10 @@ from OSUT3Analysis.Configuration.configurationOptions import * from OSUT3Analysis.Configuration.processingUtilities import * from OSUT3Analysis.Configuration.formattingUtilities import * -from DisappTrks.SignalMC.signalCrossSecs import * +if not (os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_")): + exec("from DisappTrks.SignalMC.signalCrossSecs import *") +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): + exec("from DisappTrks.SignalMC.signalCrossSecs13p6TeV import *") #from lumiMet2012 import * ### parse the command-line options diff --git a/StandardAnalysis/test/config_2022_cfg.py b/StandardAnalysis/test/config_2022_cfg.py index 22624f9a0..3eae99d6e 100644 --- a/StandardAnalysis/test/config_2022_cfg.py +++ b/StandardAnalysis/test/config_2022_cfg.py @@ -6,4 +6,4 @@ # print "Please use a CMSSW_10_2_X release..." # sys.exit (0) -process = customize (process, "2022", applyPUReweighting = False, applyISRReweighting = False, applyTriggerReweighting = False, applyMissingHitsCorrections = False, runMETFilters = False) +process = customize (process, "2022", "F", realData=True, applyPUReweighting = False, applyISRReweighting = False, applyTriggerReweighting = False, applyMissingHitsCorrections = False, runMETFilters = False) diff --git a/StandardAnalysis/test/crab_StdAnaSelections.py b/StandardAnalysis/test/crab_StdAnaSelections.py index b0171e52f..03b99cc08 100644 --- a/StandardAnalysis/test/crab_StdAnaSelections.py +++ b/StandardAnalysis/test/crab_StdAnaSelections.py @@ -13,13 +13,8 @@ config.JobType.pluginName = 'Analysis' config.JobType.psetName = 'config_2022_cfg.py' config.JobType.allowUndistributedCMSSW = True -# List of files that are in the repos, but are used for the selections -config.JobType.inputFiles = [os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/electronSFs.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/AnaTools/data/muonSFs.root', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/Fall15_25nsV2_MC_SF_AK4PFchs.txt', os.environ['CMSSW_BASE'] + '/src/OSUT3Analysis/Collections/data/Fall15_25nsV2_MC_PtResolution_AK4PFchs.txt', '/data/users/mcarrigan/condor/run3Inputs/Summer22EE_23Sep2023_RunEFG_v1.root'] -# always use MINIAOD as inputDataset and AOD as secondaryInputDataset - -config.Data.inputDataset = '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/Run3Summer22EEMiniAODv3-forPOG_124X_mcRun3_2022_realistic_postEE_v1-v3/MINIAODSIM' -config.Data.secondaryInputDataset = '/DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8/Run3Summer22EEDRPremix-forPOG_124X_mcRun3_2022_realistic_postEE_v1-v3/AODSIM' +config.Data.inputDataset = '/DYto2L-4Jets_MLL-10to50_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer22EEMiniAODv4-130X_mcRun3_2022_realistic_postEE_v6-v3/MINIAODSIM' config.Data.inputDBS = 'global' # config.Data.inputDBS = 'phys03' @@ -40,5 +35,5 @@ #config.Data.outLFNDirBase = '/store/group/phys_exotica/disappearingTracks/' #config.Site.storageSite = 'T2_CH_CERN' -# config.Data.outLFNDirBase = '/store/user/borzari/' -# config.Site.storageSite = 'T2_BR_SPRACE' +config.Data.outLFNDirBase = '/store/user/borzari/' +config.Site.storageSite = 'T2_BR_SPRACE' diff --git a/StandardAnalysis/test/inspectGraph.py b/StandardAnalysis/test/inspectGraph.py new file mode 100644 index 000000000..0dc57570e --- /dev/null +++ b/StandardAnalysis/test/inspectGraph.py @@ -0,0 +1,31 @@ +import tensorflow as tf + +'''def summarize_graph(graph_def_file): + with tf.io.gfile.GFile(graph_def_file, 'rb') as f: + graph_def = tf.compat.v1.GraphDef() + graph_def.ParseFromString(f.read()) + tf.import_graph_def(graph_def, name='') + print("Model inputs:") + print([n.name for n in tf.compat.v1.get_default_graph().as_graph_def().node if n.op == 'Placeholder']) + print("\nModel outputs:") + print([n.name for n in tf.compat.v1.get_default_graph().as_graph_def().node if 'Softmax' in n.name or 'Sigmoid' in n.name])''' + +# Replace 'graph.pb' with the path to your .pb file + +def summarize_graph(graph_def_file): + with tf.io.gfile.GFile(graph_def_file, 'rb') as f: + graph_def = tf.compat.v1.GraphDef() + graph_def.ParseFromString(f.read()) + + # Extract input nodes and their shapes + input_nodes = [(n.name, n.attr['shape'].shape) for n in graph_def.node if n.op == 'Placeholder'] + print("Model inputs:") + for input_node, shape in input_nodes: + input_shape = [dim.size for dim in shape.dim] + print(f"Node: {input_node}, Shape: {input_shape}") + + print("\nModel outputs:") + print([n.name for n in graph_def.node if 'Softmax' in n.name or 'Sigmoid' in n.name]) + +# Replace 'graph.pb' with the path to your .pb file +summarize_graph('graph_electron.pb') diff --git a/StandardAnalysis/test/test_tensorflow_2022.py b/StandardAnalysis/test/test_tensorflow_2022.py deleted file mode 100644 index e8b8f660a..000000000 --- a/StandardAnalysis/test/test_tensorflow_2022.py +++ /dev/null @@ -1,439 +0,0 @@ -# Auto generated configuration file -# using: -# Revision: 1.19 -# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v -# with command line options: REMINIAOD -s PAT --runUnscheduled --nThreads 4 --data --era Run2_2018 --scenario pp --conditions 102X_dataRun2_Sep2018Rereco_v1 --eventcontent MINIAOD --datatier MINIAOD --filein file:pippo.root -n 100 --python_filename=treeMaker_real2018_cfg.py --no_exec -import FWCore.ParameterSet.Config as cms -from datasets_EGamma2017F import dataset, secondary -from Configuration.StandardSequences.Eras import eras -import os - -# get the data/ directory -thisdir = os.path.dirname(os.path.abspath("__file__")) -datadir = os.path.join(os.path.dirname(thisdir), "test") - -process = cms.Process('PAT',eras.Run3) - -# import of standard configurations -process.load('Configuration.StandardSequences.Services_cff') -process.load('SimGeneral.HepPDTESSource.pythiapdt_cfi') -process.load('FWCore.MessageService.MessageLogger_cfi') -process.load('Configuration.EventContent.EventContent_cff') -process.load('Configuration.StandardSequences.GeometryRecoDB_cff') -process.load('Configuration.StandardSequences.MagneticField_AutoFromDBCurrent_cff') -process.load('PhysicsTools.PatAlgos.slimming.metFilterPaths_cff') -process.load('Configuration.StandardSequences.PAT_cff') -process.load('Configuration.StandardSequences.EndOfProcess_cff') -process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff') - -process.maxEvents = cms.untracked.PSet( - input = cms.untracked.int32(100) -) - -# Input source -process.source = cms.Source("PoolSource", - fileNames = cms.untracked.vstring(secondary), - secondaryFileNames = cms.untracked.vstring(dataset) -) - -process.TFileService = cms.Service ('TFileService', - fileName = cms.string ('images.root') -) - -process.options = cms.untracked.PSet( - -) - -# Production Info -process.configurationMetadata = cms.untracked.PSet( - annotation = cms.untracked.string('REMINIAOD nevts:100'), - name = cms.untracked.string('Applications'), - version = cms.untracked.string('$Revision: 1.19 $') -) - -# Output definition - -process.MINIAODoutput = cms.OutputModule("PoolOutputModule", - compressionAlgorithm = cms.untracked.string('LZMA'), - compressionLevel = cms.untracked.int32(4), - dataset = cms.untracked.PSet( - dataTier = cms.untracked.string('MINIAOD'), - filterName = cms.untracked.string('') - ), - dropMetaData = cms.untracked.string('ALL'), - eventAutoFlushCompressedSize = cms.untracked.int32(-900), - fastCloning = cms.untracked.bool(False), - fileName = cms.untracked.string('REMINIAOD_PAT.root'), - outputCommands = process.MINIAODEventContent.outputCommands, - overrideBranchesSplitLevel = cms.untracked.VPSet(cms.untracked.PSet( - branch = cms.untracked.string('patPackedCandidates_packedPFCandidates__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoGenParticles_prunedGenParticles__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patTriggerObjectStandAlones_slimmedPatTrigger__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patPackedGenParticles_packedGenParticles__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patJets_slimmedJets__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoVertexs_offlineSlimmedPrimaryVertices__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoCaloClusters_reducedEgamma_reducedESClusters_*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('EcalRecHitsSorted_reducedEgamma_reducedEBRecHits_*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('EcalRecHitsSorted_reducedEgamma_reducedEERecHits_*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoGenJets_slimmedGenJets__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patJets_slimmedJetsPuppi__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('EcalRecHitsSorted_reducedEgamma_reducedESRecHits_*'), - splitLevel = cms.untracked.int32(99) - )), - overrideInputFileSplitLevels = cms.untracked.bool(True), - splitLevel = cms.untracked.int32(0) -) - -# Additional output definition - -# Other statements -from Configuration.AlCa.GlobalTag import GlobalTag -process.GlobalTag = GlobalTag(process.GlobalTag, '124X_dataRun3_Prompt_v4', '') - -#process.load('DisappTrks.CandidateTrackProducer.CandidateTrackProducer_cfi') -#process.candidateTracks = cms.Path(process.candidateTrackProducer) -#from DisappTrks.CandidateTrackProducer.customize import disappTrksOutputCommands -#process.MINIAODoutput.outputCommands.extend(disappTrksOutputCommands) - -process.trackImageProducer = cms.EDAnalyzer ("TrackImageProducerMINIAOD", - triggers = cms.InputTag("TriggerResults", "", "HLT"), - triggerObjects = cms.InputTag("slimmedPatTrigger"), - tracks = cms.InputTag("isolatedTracks"), - genParticles = cms.InputTag("prunedGenParticles", ""), - met = cms.InputTag("slimmedMETs"), - electrons = cms.InputTag("slimmedElectrons", ""), - muons = cms.InputTag("slimmedMuons", ""), - taus = cms.InputTag("slimmedTaus", ""), - pfCandidates = cms.InputTag("packedPFCandidates", ""), - vertices = cms.InputTag("offlineSlimmedPrimaryVertices", ""), - jets = cms.InputTag("slimmedJets", ""), - - rhoCentralCalo = cms.InputTag("fixedGridRhoFastjetCentralCalo"), - - EBRecHits = cms.InputTag("reducedEcalRecHitsEB"), - EERecHits = cms.InputTag("reducedEcalRecHitsEE"), - ESRecHits = cms.InputTag("reducedEcalRecHitsES"), - HBHERecHits = cms.InputTag("reducedHcalRecHits", "hbhereco"), - #CSCSegments = cms.InputTag("cscSegments"), - #DTRecSegments = cms.InputTag("dt4DSegments"), - #RPCRecHits = cms.InputTag("rpcRecHits"), - - tauDecayModeFinding = cms.InputTag("hpsPFTauDiscriminationByDecayModeFinding"), - tauElectronDiscriminator = cms.InputTag("hpsPFTauDiscriminationByMVA6LooseElectronRejection"), - tauMuonDiscriminator = cms.InputTag("hpsPFTauDiscriminationByLooseMuonRejection3"), - - dEdxPixel = cms.InputTag ("dedxPixelHarmonic2", ""), - dEdxStrip = cms.InputTag ("dedxHarmonic2", ""), - isolatedTracks = cms.InputTag("isolatedTracks", ""), - isoTrk2dedxHitInfo = cms.InputTag("isolatedTracks", ""), - genTracks = cms.InputTag("generalTracks", ""), - pileupInfo = cms.InputTag ("addPileupInfo"), - - signalTriggerNames = cms.vstring([ - 'HLT_MET105_IsoTrk50_v', - 'HLT_PFMET120_PFMHT120_IDTight_v', - 'HLT_PFMET130_PFMHT130_IDTight_v', - 'HLT_PFMET140_PFMHT140_IDTight_v', - 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', - 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v', - 'HLT_PFMET250_HBHECleaned_v', - 'HLT_PFMET300_HBHECleaned_v']), - - metFilterNames = cms.vstring([ - "Flag_goodVertices", - "Flag_globalTightHalo2016Filter", - "Flag_HBHENoiseFilter", - "Flag_HBHENoiseIsoFilter", - "Flag_EcalDeadCellTriggerPrimitiveFilter", - "Flag_BadPFMuonFilter", - "Flag_globalTightHalo2016Filter", - "Flag_globalSuperTightHalo2016Filter"]), - - minGenParticlePt = cms.double(10.0), - minTrackPt = cms.double(25.0), - maxRelTrackIso = cms.double(-1.0), - maxTrackEta = cms.double(2.1,), - - dataTakingPeriod = cms.string("2022") -) -process.trackImageProducerPath = cms.Path(process.trackImageProducer) - -# setup tensorflowProducer by loading the auto-generated cfi (see tensorflowProducer.fillDescriptions) -process.load("DisappTrks.StandardAnalysis.tensorflowProducer_cfi") -process.tensorflowProducer.graphPath = cms.string(os.path.join(datadir, "graph.pb")) -process.tensorflowProducer.inputTensorName = cms.string("Input_input") -process.tensorflowProducer.outputTensorName = cms.string("sequential/Output/Sigmoid") - -process.tensorflowProducer.triggers = cms.InputTag("TriggerResults", "", "HLT") -process.tensorflowProducer.triggerObjects = cms.InputTag("slimmedPatTrigger") -process.tensorflowProducer.genParticles = cms.InputTag("prunedGenParticles", "") -process.tensorflowProducer.met = cms.InputTag("slimmedMETs") -process.tensorflowProducer.electrons = cms.InputTag("slimmedElectrons", "") -process.tensorflowProducer.muons = cms.InputTag("slimmedMuons", "") -process.tensorflowProducer.taus = cms.InputTag("slimmedTaus", "") -process.tensorflowProducer.pfCandidates = cms.InputTag("packedPFCandidates", "") -process.tensorflowProducer.vertices = cms.InputTag("offlineSlimmedPrimaryVertices", "") -process.tensorflowProducer.jets = cms.InputTag("slimmedJets", "") - -process.tensorflowProducer.rhoCentralCalo = cms.InputTag("fixedGridRhoFastjetCentralCalo") - -process.tensorflowProducer.EBRecHits = cms.InputTag("reducedEcalRecHitsEB") -process.tensorflowProducer.EERecHits = cms.InputTag("reducedEcalRecHitsEE") -process.tensorflowProducer.ESRecHits = cms.InputTag("reducedEcalRecHitsES") -process.tensorflowProducer.HBHERecHits = cms.InputTag("reducedHcalRecHits", "hbhereco") -#process.tensorflowProducer.CSCSegments = cms.InputTag("cscSegments") -#process.tensorflowProducer.DTRecSegments = cms.InputTag("dt4DSegments") -#process.tensorflowProducer.RPCRecHits = cms.InputTag("rpcRecHits") - -process.tensorflowProducer.dEdxPixel = cms.InputTag ("dedxPixelHarmonic2", "") -process.tensorflowProducer.dEdxStrip = cms.InputTag ("dedxHarmonic2", "") -process.tensorflowProducer.isolatedTracks = cms.InputTag("isolatedTracks", "") -process.tensorflowProducer.isoTrk2dedxHitInfo = cms.InputTag("isolatedTracks", "") -#process.tensorflowProducer.genTracks = cms.InputTag("generalTracks", "") -process.tensorflowProducer.pileupInfo = cms.InputTag ("addPileupInfo") - -process.tensorflowProducer.minTrackPt = cms.double(20.0) -process.tensorflowProducer.minGenParticlePt = cms.double(-1) -process.tensorflowProducer.maxRelTrackIso = cms.double(-1) -process.tensorflowProducer.dataTakingPeriod = cms.string("2022") -process.tensorflowProducer.etaRangeNearTrack = cms.double(-1) -process.tensorflowProducer.phiRangeNearTrack = cms.double(-1) -process.tensorflowProducer.maxNumOfRecHits = cms.int32(-1) -process.tensorflowProducer.signalTriggerNames = cms.vstring([ - 'HLT_MET105_IsoTrk50_v', - 'HLT_PFMET120_PFMHT120_IDTight_v', - 'HLT_PFMET130_PFMHT130_IDTight_v', - 'HLT_PFMET140_PFMHT140_IDTight_v', - 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', - 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v', - 'HLT_PFMET250_HBHECleaned_v', - 'HLT_PFMET300_HBHECleaned_v']) -process.tensorflowProducer.metFilterNames = cms.vstring([ - "Flag_goodVertices", - "Flag_globalTightHalo2016Filter", - "Flag_HBHENoiseFilter", - "Flag_HBHENoiseIsoFilter", - "Flag_EcalDeadCellTriggerPrimitiveFilter", - "Flag_BadPFMuonFilter", - "Flag_globalTightHalo2016Filter", - "Flag_globalSuperTightHalo2016Filter"]) - -process.tensorflowPluginPath = cms.Path(process.tensorflowProducer) - - -process.load("DisappTrks.StandardAnalysis.testMETProducer_cfi") -process.testMETProducer.graphPath = cms.string(os.path.join(datadir, "graph.pb")) -process.testMETProducer.inputTensorName = cms.string("Input_input") -process.testMETProducer.outputTensorName = cms.string("sequential/Output/Sigmoid") -''' -process.testMETProducer.triggers = cms.InputTag("TriggerResults", "", "HLT") -process.testMETProducer.triggerObjects = cms.InputTag("slimmedPatTrigger") -process.testMETProducer.genParticles = cms.InputTag("prunedGenParticles", "") -process.testMETProducer.met = cms.InputTag("slimmedMETs") -process.testMETProducer.electrons = cms.InputTag("slimmedElectrons", "") -process.testMETProducer.muons = cms.InputTag("slimmedMuons", "") -process.testMETProducer.taus = cms.InputTag("slimmedTaus", "") -process.testMETProducer.pfCandidates = cms.InputTag("packedPFCandidates", "") -process.testMETProducer.vertices = cms.InputTag("offlineSlimmedPrimaryVertices", "") -process.testMETProducer.jets = cms.InputTag("slimmedJets", "") -''' -process.testMETPluginPath = cms.Path(process.testMETProducer) - - -process.load("DisappTrks.StandardAnalysis.fakeTrackVarProducer_cfi") -process.fakeTrackVarProducer.graphPath = cms.string(os.path.join(datadir, "graph.pb")) -process.fakeTrackVarProducer.inputTensorName = cms.string("Input_input") -process.fakeTrackVarProducer.outputTensorName = cms.string("Identity") -process.fakeTrackVarProducer.triggers = cms.InputTag("TriggerResults", "", "HLT") -process.fakeTrackVarProducer.triggerObjects = cms.InputTag("slimmedPatTrigger") -process.fakeTrackVarProducer.genParticles = cms.InputTag("prunedGenParticles", "") -process.fakeTrackVarProducer.met = cms.InputTag("slimmedMETs") -process.fakeTrackVarProducer.electrons = cms.InputTag("slimmedElectrons", "") -process.fakeTrackVarProducer.muons = cms.InputTag("slimmedMuons", "") -process.fakeTrackVarProducer.taus = cms.InputTag("slimmedTaus", "") -process.fakeTrackVarProducer.pfCandidates = cms.InputTag("packedPFCandidates", "") -process.fakeTrackVarProducer.vertices = cms.InputTag("offlineSlimmedPrimaryVertices", "") -process.fakeTrackVarProducer.jets = cms.InputTag("slimmedJets", "") - -process.fakeTrackVarProducer.rhoCentralCalo = cms.InputTag("fixedGridRhoFastjetCentralCalo") - -process.fakeTrackVarProducer.EBRecHits = cms.InputTag("reducedEcalRecHitsEB") -process.fakeTrackVarProducer.EERecHits = cms.InputTag("reducedEcalRecHitsEE") -process.fakeTrackVarProducer.ESRecHits = cms.InputTag("reducedEcalRecHitsES") -process.fakeTrackVarProducer.HBHERecHits = cms.InputTag("reducedHcalRecHits", "hbhereco") -#process.fakeTrackVarProducer.CSCSegments = cms.InputTag("cscSegments") -#process.fakeTrackVarProducer.DTRecSegments = cms.InputTag("dt4DSegments") -#process.fakeTrackVarProducer.RPCRecHits = cms.InputTag("rpcRecHits") - -process.fakeTrackVarProducer.dEdxPixel = cms.InputTag ("dedxPixelHarmonic2", "") -process.fakeTrackVarProducer.dEdxStrip = cms.InputTag ("dedxHarmonic2", "") -process.fakeTrackVarProducer.isolatedTracks = cms.InputTag("isolatedTracks", "") -process.fakeTrackVarProducer.isoTrk2dedxHitInfo = cms.InputTag("isolatedTracks", "") -#process.fakeTrackVarProducer.genTracks = cms.InputTag("generalTracks", "") -process.fakeTrackVarProducer.pileupInfo = cms.InputTag ("addPileupInfo") - -process.fakeTrackVarProducer.minTrackPt = cms.double(20.0) -process.fakeTrackVarProducer.minGenParticlePt = cms.double(-1) -process.fakeTrackVarProducer.maxRelTrackIso = cms.double(-1) -process.fakeTrackVarProducer.dataTakingPeriod = cms.string("2022") -process.fakeTrackVarProducer.etaRangeNearTrack = cms.double(-1) -process.fakeTrackVarProducer.phiRangeNearTrack = cms.double(-1) -process.fakeTrackVarProducer.maxNumOfRecHits = cms.int32(-1) -process.fakeTrackVarProducer.signalTriggerNames = cms.vstring([ - 'HLT_MET105_IsoTrk50_v', - 'HLT_PFMET120_PFMHT120_IDTight_v', - 'HLT_PFMET130_PFMHT130_IDTight_v', - 'HLT_PFMET140_PFMHT140_IDTight_v', - 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', - 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v', - 'HLT_PFMET250_HBHECleaned_v', - 'HLT_PFMET300_HBHECleaned_v']) -process.fakeTrackVarProducer.metFilterNames = cms.vstring([ - "Flag_goodVertices", - "Flag_globalTightHalo2016Filter", - "Flag_HBHENoiseFilter", - "Flag_HBHENoiseIsoFilter", - "Flag_EcalDeadCellTriggerPrimitiveFilter", - "Flag_BadPFMuonFilter", - "Flag_globalTightHalo2016Filter", - "Flag_globalSuperTightHalo2016Filter"]) - -#process.deepSetElectronVarProducerPath = cms.Path(process.deepSetElectronVarProducer) - -process.FakeTrackVarProducerPath = cms.Path(process.fakeTrackVarProducer) - -#process.MINIAODoutput.outputCommands = cms.untracked.vstring('drop *') - -process.isolatedTracks.saveDeDxHitInfoCut = cms.string("pt > 1.") - -# Path and EndPath definitions -process.Flag_trackingFailureFilter = cms.Path(process.goodVertices+process.trackingFailureFilter) -process.Flag_goodVertices = cms.Path(process.primaryVertexFilter) -process.Flag_CSCTightHaloFilter = cms.Path(process.CSCTightHaloFilter) -process.Flag_trkPOGFilters = cms.Path(process.trkPOGFilters) -process.Flag_HcalStripHaloFilter = cms.Path(process.HcalStripHaloFilter) -process.Flag_trkPOG_logErrorTooManyClusters = cms.Path(~process.logErrorTooManyClusters) -process.Flag_EcalDeadCellTriggerPrimitiveFilter = cms.Path(process.EcalDeadCellTriggerPrimitiveFilter) -process.Flag_ecalLaserCorrFilter = cms.Path(process.ecalLaserCorrFilter) -process.Flag_globalSuperTightHalo2016Filter = cms.Path(process.globalSuperTightHalo2016Filter) -process.Flag_eeBadScFilter = cms.Path(process.eeBadScFilter) -process.Flag_METFilters = cms.Path(process.metFilters) -process.Flag_chargedHadronTrackResolutionFilter = cms.Path(process.chargedHadronTrackResolutionFilter) -process.Flag_globalTightHalo2016Filter = cms.Path(process.globalTightHalo2016Filter) -process.Flag_CSCTightHaloTrkMuUnvetoFilter = cms.Path(process.CSCTightHaloTrkMuUnvetoFilter) -process.Flag_HBHENoiseIsoFilter = cms.Path(process.HBHENoiseFilterResultProducer+process.HBHENoiseIsoFilter) -process.Flag_BadChargedCandidateSummer16Filter = cms.Path(process.BadChargedCandidateSummer16Filter) -process.Flag_hcalLaserEventFilter = cms.Path(process.hcalLaserEventFilter) -process.Flag_BadPFMuonFilter = cms.Path(process.BadPFMuonFilter) -process.Flag_ecalBadCalibFilter = cms.Path(process.ecalBadCalibFilter) -process.Flag_HBHENoiseFilter = cms.Path(process.HBHENoiseFilterResultProducer+process.HBHENoiseFilter) -process.Flag_trkPOG_toomanystripclus53X = cms.Path(~process.toomanystripclus53X) -process.Flag_EcalDeadCellBoundaryEnergyFilter = cms.Path(process.EcalDeadCellBoundaryEnergyFilter) -process.Flag_BadChargedCandidateFilter = cms.Path(process.BadChargedCandidateFilter) -process.Flag_trkPOG_manystripclus53X = cms.Path(~process.manystripclus53X) -process.Flag_BadPFMuonSummer16Filter = cms.Path(process.BadPFMuonSummer16Filter) -process.Flag_muonBadTrackFilter = cms.Path(process.muonBadTrackFilter) -process.Flag_CSCTightHalo2015Filter = cms.Path(process.CSCTightHalo2015Filter) -process.endjob_step = cms.EndPath(process.endOfProcess) -process.MINIAODoutput_step = cms.EndPath(process.MINIAODoutput) - -# Schedule definition - -'''process.schedule = cms.Schedule(process.Flag_HBHENoiseFilter, - process.Flag_HBHENoiseIsoFilter, - process.Flag_CSCTightHaloFilter, - process.Flag_CSCTightHaloTrkMuUnvetoFilter, - process.Flag_CSCTightHalo2015Filter, - process.Flag_globalTightHalo2016Filter, - process.Flag_globalSuperTightHalo2016Filter, - process.Flag_HcalStripHaloFilter, - process.Flag_hcalLaserEventFilter, - process.Flag_EcalDeadCellTriggerPrimitiveFilter, - process.Flag_EcalDeadCellBoundaryEnergyFilter, - process.Flag_ecalBadCalibFilter, - process.Flag_goodVertices, - process.Flag_eeBadScFilter, - process.Flag_ecalLaserCorrFilter, - process.Flag_trkPOGFilters, - process.Flag_chargedHadronTrackResolutionFilter, - process.Flag_muonBadTrackFilter, - process.Flag_BadChargedCandidateFilter, - process.Flag_BadPFMuonFilter, - process.Flag_BadChargedCandidateSummer16Filter, - process.Flag_BadPFMuonSummer16Filter, - process.Flag_trkPOG_manystripclus53X, - process.Flag_trkPOG_toomanystripclus53X, - process.Flag_trkPOG_logErrorTooManyClusters, - process.Flag_METFilters, - process.trackImageProducerPath, - process.tensorflowPluginPath, - process.endjob_step, - process.MINIAODoutput_step)''' - -#process.schedule.associate(process.patTask) -#from PhysicsTools.PatAlgos.tools.helpers import associatePatAlgosToolsTask -#associatePatAlgosToolsTask(process) - - -process.schedule = cms.Schedule(process.trackImageProducerPath,process.tensorflowPluginPath) -#Setup FWK for multithreaded -process.options.numberOfThreads=cms.untracked.uint32(4) -process.options.numberOfStreams=cms.untracked.uint32(0) -process.options.numberOfConcurrentLuminosityBlocks = 1 - -#do not add changes to your config after this point (unless you know what you are doing) -from FWCore.ParameterSet.Utilities import convertToUnscheduled -process=convertToUnscheduled(process) - -# customisation of the process. - -# Automatic addition of the customisation function from PhysicsTools.PatAlgos.slimming.miniAOD_tools -from PhysicsTools.PatAlgos.slimming.miniAOD_tools import miniAOD_customizeAllData - -#call to customisation function miniAOD_customizeAllData imported from PhysicsTools.PatAlgos.slimming.miniAOD_tools -process = miniAOD_customizeAllData(process) - -# End of customisation functions - -# Customisation from command line - -# Add early deletion of temporary data products to reduce peak memory need -from Configuration.StandardSequences.earlyDeleteSettings_cff import customiseEarlyDelete -process = customiseEarlyDelete(process) -# End adding early deletion diff --git a/StandardAnalysis/test/test_tensorflow_MC2022_cfg.py b/StandardAnalysis/test/test_tensorflow_MC2022_cfg.py deleted file mode 100644 index 7d90e8493..000000000 --- a/StandardAnalysis/test/test_tensorflow_MC2022_cfg.py +++ /dev/null @@ -1,476 +0,0 @@ -# Auto generated configuration file -# using: -# Revision: 1.19 -# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v -# with command line options: step1 --filein step1_RECO.root --mc --eventcontent MINIAODSIM --runUnscheduled --datatier MINIAODSIM --conditions 120X_mcRun3_2021_realistic_v6 --step PAT --nThreads 4 --scenario pp --era Run3 --python_filename test_tensorflow_MC2022_cfg.py --no_exec --customise Configuration/DataProcessing/Utils.addMonitoring -n 100 -import FWCore.ParameterSet.Config as cms -import os -from Configuration.Eras.Era_Run3_cff import Run3 - -# get the data/ directory -thisdir = os.path.dirname(os.path.abspath("__file__")) -datadir = os.path.join(os.path.dirname(thisdir), "test") - -process = cms.Process('PAT',Run3) - -# import of standard configurations -process.load('Configuration.StandardSequences.Services_cff') -process.load('SimGeneral.HepPDTESSource.pythiapdt_cfi') -process.load('FWCore.MessageService.MessageLogger_cfi') -process.load('Configuration.EventContent.EventContent_cff') -process.load('SimGeneral.MixingModule.mixNoPU_cfi') -process.load('Configuration.StandardSequences.GeometryRecoDB_cff') -process.load('Configuration.StandardSequences.MagneticField_cff') -process.load('PhysicsTools.PatAlgos.slimming.metFilterPaths_cff') -process.load('Configuration.StandardSequences.PATMC_cff') -process.load('Configuration.StandardSequences.EndOfProcess_cff') -process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff') - -process.maxEvents = cms.untracked.PSet( - input = cms.untracked.int32(100), - output = cms.optional.untracked.allowed(cms.int32,cms.PSet) -) - -# Input source -process.source = cms.Source("PoolSource", - fileNames = cms.untracked.vstring(#'file:step1_RECO.root'), - '/store/mc/Run3Summer21DRPremix/DYToLL_M-50_TuneCP5_14TeV-pythia8/AODSIM/120X_mcRun3_2021_realistic_v6-v2/30002/01326cce-6f8b-40a4-a0e9-8af154b3ac55.root'), - #'/store/mc/Run3Summer21DRPremix/DYToLL_M-50_TuneCP5_14TeV-pythia8/AODSIM/120X_mcRun3_2021_realistic_v6-v2/2550000/0088b6cd-2fc0-402a-9905-34419b8abb40.root'), - secondaryFileNames = cms.untracked.vstring() -) - -process.options = cms.untracked.PSet( - FailPath = cms.untracked.vstring(), - IgnoreCompletely = cms.untracked.vstring(), - Rethrow = cms.untracked.vstring(), - SkipEvent = cms.untracked.vstring(), - allowUnscheduled = cms.obsolete.untracked.bool, - canDeleteEarly = cms.untracked.vstring(), - deleteNonConsumedUnscheduledModules = cms.untracked.bool(True), - dumpOptions = cms.untracked.bool(False), - emptyRunLumiMode = cms.obsolete.untracked.string, - eventSetup = cms.untracked.PSet( - forceNumberOfConcurrentIOVs = cms.untracked.PSet( - allowAnyLabel_=cms.required.untracked.uint32 - ), - numberOfConcurrentIOVs = cms.untracked.uint32(0) - ), - fileMode = cms.untracked.string('FULLMERGE'), - forceEventSetupCacheClearOnNewRun = cms.untracked.bool(False), - makeTriggerResults = cms.obsolete.untracked.bool, - numberOfConcurrentLuminosityBlocks = cms.untracked.uint32(0), - numberOfConcurrentRuns = cms.untracked.uint32(1), - numberOfStreams = cms.untracked.uint32(0), - numberOfThreads = cms.untracked.uint32(0), - printDependencies = cms.untracked.bool(False), - sizeOfStackForThreadsInKB = cms.optional.untracked.uint32, - throwIfIllegalParameter = cms.untracked.bool(True), - wantSummary = cms.untracked.bool(False) -) - -# Production Info -process.configurationMetadata = cms.untracked.PSet( - annotation = cms.untracked.string('step1 nevts:100'), - name = cms.untracked.string('Applications'), - version = cms.untracked.string('$Revision: 1.19 $') -) - -# Output definition - -process.MINIAODSIMoutput = cms.OutputModule("PoolOutputModule", - compressionAlgorithm = cms.untracked.string('LZMA'), - compressionLevel = cms.untracked.int32(4), - dataset = cms.untracked.PSet( - dataTier = cms.untracked.string('MINIAODSIM'), - filterName = cms.untracked.string('') - ), - dropMetaData = cms.untracked.string('ALL'), - eventAutoFlushCompressedSize = cms.untracked.int32(-900), - fastCloning = cms.untracked.bool(False), - fileName = cms.untracked.string('step1_PAT.root'), - outputCommands = process.MINIAODSIMEventContent.outputCommands, - overrideBranchesSplitLevel = cms.untracked.VPSet( - cms.untracked.PSet( - branch = cms.untracked.string('patPackedCandidates_packedPFCandidates__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoGenParticles_prunedGenParticles__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patTriggerObjectStandAlones_slimmedPatTrigger__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patPackedGenParticles_packedGenParticles__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patJets_slimmedJets__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoVertexs_offlineSlimmedPrimaryVertices__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoVertexs_offlineSlimmedPrimaryVerticesWithBS__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoCaloClusters_reducedEgamma_reducedESClusters_*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('EcalRecHitsSorted_reducedEgamma_reducedEBRecHits_*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('EcalRecHitsSorted_reducedEgamma_reducedEERecHits_*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('recoGenJets_slimmedGenJets__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('patJets_slimmedJetsPuppi__*'), - splitLevel = cms.untracked.int32(99) - ), - cms.untracked.PSet( - branch = cms.untracked.string('EcalRecHitsSorted_reducedEgamma_reducedESRecHits_*'), - splitLevel = cms.untracked.int32(99) - ) - ), - overrideInputFileSplitLevels = cms.untracked.bool(True), - splitLevel = cms.untracked.int32(0) -) - -# Additional output definition - -# Other statements -from Configuration.AlCa.GlobalTag import GlobalTag -process.GlobalTag = GlobalTag(process.GlobalTag, '120X_mcRun3_2021_realistic_v6', '') - -process.load('DisappTrks.CandidateTrackProducer.CandidateTrackProducer_cfi') -process.candidateTracks = cms.Path(process.candidateTrackProducer) -from DisappTrks.CandidateTrackProducer.customize import disappTrksOutputCommands -#process.MINIAODSIMoutput.outputCommands.extend(disappTrksOutputCommands) - -# setup tensorflowPlugin by loading the auto-generated cfi (see tensorflowPlugin.fillDescriptions) -process.load("DisappTrks.StandardAnalysis.tensorflowPlugin_cfi") -process.tensorflowPlugin.graphPath = cms.string(os.path.join(datadir, "graph.pb")) -process.tensorflowPlugin.inputTensorName = cms.string("Input_input") -#process.tensorflowPlugin.outputTensorName = cms.string("sequential/output/Sigmoid") -process.tensorflowPlugin.outputTensorName = cms.string("sequential/Output/Sigmoid") -#process.tensorflowPlugin.outputTensorName = cms.string("Identity") - - -process.load("DisappTrks.StandardAnalysis.fakeTrackVarProducer_cfi") -process.fakeTrackVarProducer.graphPath = cms.string(os.path.join(datadir, "graph.pb")) -process.fakeTrackVarProducer.inputTensorName = cms.string("Input_input") -#process.fakeTrackVarProducer.outputTensorName = cms.string("sequential/Output/Sigmoid") -process.fakeTrackVarProducer.outputTensorName = cms.string("Identity") -process.fakeTrackVarProducer.triggers = cms.InputTag("TriggerResults", "", "HLT") -process.fakeTrackVarProducer.triggerObjects = cms.InputTag("slimmedPatTrigger") -#process.fakeTrackVarProducer.tracks= cms.InputTag("candidateTrackProducer") -process.fakeTrackVarProducer.genParticles = cms.InputTag("prunedGenParticles", "") -process.fakeTrackVarProducer.met = cms.InputTag("slimmedMETs") -process.fakeTrackVarProducer.electrons = cms.InputTag("slimmedElectrons", "") -process.fakeTrackVarProducer.muons = cms.InputTag("slimmedMuons", "") -process.fakeTrackVarProducer.taus = cms.InputTag("slimmedTaus", "") -process.fakeTrackVarProducer.pfCandidates = cms.InputTag("packedPFCandidates", "") -process.fakeTrackVarProducer.vertices = cms.InputTag("offlineSlimmedPrimaryVertices", "") -process.fakeTrackVarProducer.jets = cms.InputTag("slimmedJets", "") - -process.fakeTrackVarProducer.rhoCentralCalo = cms.InputTag("fixedGridRhoFastjetCentralCalo") - -process.fakeTrackVarProducer.EBRecHits = cms.InputTag("reducedEcalRecHitsEB") -process.fakeTrackVarProducer.EERecHits = cms.InputTag("reducedEcalRecHitsEE") -process.fakeTrackVarProducer.ESRecHits = cms.InputTag("reducedEcalRecHitsES") -process.fakeTrackVarProducer.HBHERecHits = cms.InputTag("reducedHcalRecHits", "hbhereco") -#process.fakeTrackVarProducer.CSCSegments = cms.InputTag("cscSegments") -#process.fakeTrackVarProducer.DTRecSegments = cms.InputTag("dt4DSegments") -#process.fakeTrackVarProducer.RPCRecHits = cms.InputTag("rpcRecHits") - -process.fakeTrackVarProducer.dEdxPixel = cms.InputTag ("dedxPixelHarmonic2", "") -process.fakeTrackVarProducer.dEdxStrip = cms.InputTag ("dedxHarmonic2", "") -process.fakeTrackVarProducer.isolatedTracks = cms.InputTag("isolatedTracks", "") -process.fakeTrackVarProducer.isoTrk2dedxHitInfo = cms.InputTag("isolatedTracks", "") -#process.fakeTrackVarProducer.genTracks = cms.InputTag("generalTracks", "") -process.fakeTrackVarProducer.pileupInfo = cms.InputTag ("addPileupInfo") - -process.fakeTrackVarProducer.minTrackPt = cms.double(20.0) -process.fakeTrackVarProducer.minGenParticlePt = cms.double(-1) -process.fakeTrackVarProducer.maxRelTrackIso = cms.double(-1) -process.fakeTrackVarProducer.dataTakingPeriod = cms.string("2017") -process.fakeTrackVarProducer.etaRangeNearTrack = cms.double(-1) -process.fakeTrackVarProducer.phiRangeNearTrack = cms.double(-1) -process.fakeTrackVarProducer.maxNumOfRecHits = cms.int32(-1) -process.fakeTrackVarProducer.signalTriggerNames = cms.vstring([ - 'HLT_MET105_IsoTrk50_v', - 'HLT_PFMET120_PFMHT120_IDTight_v', - 'HLT_PFMET130_PFMHT130_IDTight_v', - 'HLT_PFMET140_PFMHT140_IDTight_v', - 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', - 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v', - 'HLT_PFMET250_HBHECleaned_v', - 'HLT_PFMET300_HBHECleaned_v']) -process.fakeTrackVarProducer.metFilterNames = cms.vstring([ - "Flag_goodVertices", - "Flag_globalTightHalo2016Filter", - "Flag_HBHENoiseFilter", - "Flag_HBHENoiseIsoFilter", - "Flag_EcalDeadCellTriggerPrimitiveFilter", - "Flag_BadPFMuonFilter", - "Flag_globalTightHalo2016Filter", - "Flag_globalSuperTightHalo2016Filter"]) - -process.load("DisappTrks.StandardAnalysis.deepSetElectronVarProducer_cfi") -process.deepSetElectronVarProducer.graphPath = cms.string(os.path.join(datadir, "graph_electron.pb")) -process.deepSetElectronVarProducer.inputTensorName = cms.string("input") -process.deepSetElectronVarProducer.inputTrackTensorName = cms.string("input_track") -process.deepSetElectronVarProducer.outputTensorName = cms.string("model_1/output_xyz/Softmax") -process.deepSetElectronVarProducer.triggers = cms.InputTag("TriggerResults", "", "HLT") -process.deepSetElectronVarProducer.triggerObjects = cms.InputTag("slimmedPatTrigger") -process.deepSetElectronVarProducer.tracks= cms.InputTag("candidateTrackProducer") -process.deepSetElectronVarProducer.genParticles = cms.InputTag("prunedGenParticles", "") -process.deepSetElectronVarProducer.met = cms.InputTag("slimmedMETs") -process.deepSetElectronVarProducer.electrons = cms.InputTag("slimmedElectrons", "") -process.deepSetElectronVarProducer.muons = cms.InputTag("slimmedMuons", "") -process.deepSetElectronVarProducer.taus = cms.InputTag("slimmedTaus", "") -process.deepSetElectronVarProducer.pfCandidates = cms.InputTag("packedPFCandidates", "") -process.deepSetElectronVarProducer.vertices = cms.InputTag("offlineSlimmedPrimaryVertices", "") -process.deepSetElectronVarProducer.jets = cms.InputTag("slimmedJets", "") - -process.deepSetElectronVarProducer.rhoCentralCalo = cms.InputTag("fixedGridRhoFastjetCentralCalo") - -process.deepSetElectronVarProducer.EBRecHits = cms.InputTag("reducedEcalRecHitsEB") -process.deepSetElectronVarProducer.EERecHits = cms.InputTag("reducedEcalRecHitsEE") -process.deepSetElectronVarProducer.ESRecHits = cms.InputTag("reducedEcalRecHitsES") -process.deepSetElectronVarProducer.HBHERecHits = cms.InputTag("reducedHcalRecHits", "hbhereco") -process.deepSetElectronVarProducer.CSCSegments = cms.InputTag("cscSegments") -process.deepSetElectronVarProducer.DTRecSegments = cms.InputTag("dt4DSegments") -process.deepSetElectronVarProducer.RPCRecHits = cms.InputTag("rpcRecHits") - -process.deepSetElectronVarProducer.dEdxPixel = cms.InputTag ("dedxPixelHarmonic2", "") -process.deepSetElectronVarProducer.dEdxStrip = cms.InputTag ("dedxHarmonic2", "") -process.deepSetElectronVarProducer.isolatedTracks = cms.InputTag("isolatedTracks", "") -process.deepSetElectronVarProducer.isoTrk2dedxHitInfo = cms.InputTag("isolatedTracks", "") -process.deepSetElectronVarProducer.genTracks = cms.InputTag("generalTracks", "") -process.deepSetElectronVarProducer.pileupInfo = cms.InputTag ("addPileupInfo") - -process.deepSetElectronVarProducer.minTrackPt = cms.double(20.0) -process.deepSetElectronVarProducer.minGenParticlePt = cms.double(-1) -process.deepSetElectronVarProducer.maxRelTrackIso = cms.double(-1) -process.deepSetElectronVarProducer.dataTakingPeriod = cms.string("2017") -process.deepSetElectronVarProducer.etaRangeNearTrack = cms.double(-1) -process.deepSetElectronVarProducer.phiRangeNearTrack = cms.double(-1) -process.deepSetElectronVarProducer.maxNumOfRecHits = cms.int32(-1) -process.deepSetElectronVarProducer.signalTriggerNames = cms.vstring([ - 'HLT_MET105_IsoTrk50_v', - 'HLT_PFMET120_PFMHT120_IDTight_v', - 'HLT_PFMET130_PFMHT130_IDTight_v', - 'HLT_PFMET140_PFMHT140_IDTight_v', - 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', - 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v', - 'HLT_PFMET250_HBHECleaned_v', - 'HLT_PFMET300_HBHECleaned_v']) -process.deepSetElectronVarProducer.metFilterNames = cms.vstring([ - "Flag_goodVertices", - "Flag_globalTightHalo2016Filter", - "Flag_HBHENoiseFilter", - "Flag_HBHENoiseIsoFilter", - "Flag_EcalDeadCellTriggerPrimitiveFilter", - "Flag_BadPFMuonFilter", - "Flag_globalTightHalo2016Filter", - "Flag_globalSuperTightHalo2016Filter"]) - - -process.trackImageProducer = cms.EDAnalyzer ("TrackImageProducerMINIAOD", - triggers = cms.InputTag("TriggerResults", "", "HLT"), - triggerObjects = cms.InputTag("slimmedPatTrigger"), - tracks = cms.InputTag("candidateTrackProducer"), - genParticles = cms.InputTag("prunedGenParticles", ""), - met = cms.InputTag("slimmedMETs"), - electrons = cms.InputTag("slimmedElectrons", ""), - muons = cms.InputTag("slimmedMuons", ""), - taus = cms.InputTag("slimmedTaus", ""), - pfCandidates = cms.InputTag("packedPFCandidates", ""), - vertices = cms.InputTag("offlineSlimmedPrimaryVertices", ""), - jets = cms.InputTag("slimmedJets", ""), - - rhoCentralCalo = cms.InputTag("fixedGridRhoFastjetCentralCalo"), - - EBRecHits = cms.InputTag("reducedEcalRecHitsEB"), - EERecHits = cms.InputTag("reducedEcalRecHitsEE"), - ESRecHits = cms.InputTag("reducedEcalRecHitsES"), - HBHERecHits = cms.InputTag("reducedHcalRecHits", "hbhereco"), - CSCSegments = cms.InputTag("cscSegments"), - DTRecSegments = cms.InputTag("dt4DSegments"), - RPCRecHits = cms.InputTag("rpcRecHits"), - - tauDecayModeFinding = cms.InputTag("hpsPFTauDiscriminationByDecayModeFinding"), - tauElectronDiscriminator = cms.InputTag("hpsPFTauDiscriminationByMVA6LooseElectronRejection"), - tauMuonDiscriminator = cms.InputTag("hpsPFTauDiscriminationByLooseMuonRejection3"), - - dEdxPixel = cms.InputTag ("dedxPixelHarmonic2", ""), - dEdxStrip = cms.InputTag ("dedxHarmonic2", ""), - isolatedTracks = cms.InputTag("isolatedTracks", ""), - isoTrk2dedxHitInfo = cms.InputTag("isolatedTracks", ""), - genTracks = cms.InputTag("generalTracks", ""), - pileupInfo = cms.InputTag ("addPileupInfo"), - - signalTriggerNames = cms.vstring([ - 'HLT_MET105_IsoTrk50_v', - 'HLT_PFMET120_PFMHT120_IDTight_v', - 'HLT_PFMET130_PFMHT130_IDTight_v', - 'HLT_PFMET140_PFMHT140_IDTight_v', - 'HLT_PFMETNoMu120_PFMHTNoMu120_IDTight_v', - 'HLT_PFMETNoMu130_PFMHTNoMu130_IDTight_v', - 'HLT_PFMETNoMu140_PFMHTNoMu140_IDTight_v', - 'HLT_PFMET250_HBHECleaned_v', - 'HLT_PFMET300_HBHECleaned_v']), - - metFilterNames = cms.vstring([ - "Flag_goodVertices", - "Flag_globalTightHalo2016Filter", - "Flag_HBHENoiseFilter", - "Flag_HBHENoiseIsoFilter", - "Flag_EcalDeadCellTriggerPrimitiveFilter", - "Flag_BadPFMuonFilter", - "Flag_globalTightHalo2016Filter", - "Flag_globalSuperTightHalo2016Filter"]), - - minGenParticlePt = cms.double(-1), - minTrackPt = cms.double(20.0), - maxRelTrackIso = cms.double(-1.0), - - dataTakingPeriod = cms.string("2017") -) -process.trackImageProducerPath = cms.Path(process.trackImageProducer) - -#process.MINIAODSIMoutput.outputCommands = cms.untracked.vstring('drop *', -# "keep CandidateTracks_*_*_*", -# 'keep *_isolatedTracks_*_*', -# 'keep networkScores_*_*_*', -# 'keep NetworkOutput_*_*_*') -#process.MINIAODSIMoutput.outputCommands.extend = cms.untracked.vstring('keep networkScores*') -#process.MINIAODSIMoutput.outputCommands.extend = cms.untracked.vstring('keep NetworkOutput_*') -#process.MINIAODSIMoutput.outputCommands.extend = cms.untracked.vstring('drop *') -#process.MINIAODSIMoutput.outputCommands.extend = cms.untracked.vstring('keep CandidateTrack*') -#process.MINIAODSIMoutput.outputCommands.extend = cms.untracked.vstring('keep networkScores*') - -process.isolatedTracks.saveDeDxHitInfoCut = cms.string("pt > 1.") -# Path and EndPath definitions -process.Flag_BadChargedCandidateFilter = cms.Path(process.BadChargedCandidateFilter) -process.Flag_BadChargedCandidateSummer16Filter = cms.Path(process.BadChargedCandidateSummer16Filter) -process.Flag_BadPFMuonDzFilter = cms.Path(process.BadPFMuonDzFilter) -process.Flag_BadPFMuonFilter = cms.Path(process.BadPFMuonFilter) -process.Flag_BadPFMuonSummer16Filter = cms.Path(process.BadPFMuonSummer16Filter) -process.Flag_CSCTightHalo2015Filter = cms.Path(process.CSCTightHalo2015Filter) -process.Flag_CSCTightHaloFilter = cms.Path(process.CSCTightHaloFilter) -process.Flag_CSCTightHaloTrkMuUnvetoFilter = cms.Path(process.CSCTightHaloTrkMuUnvetoFilter) -process.Flag_EcalDeadCellBoundaryEnergyFilter = cms.Path(process.EcalDeadCellBoundaryEnergyFilter) -process.Flag_EcalDeadCellTriggerPrimitiveFilter = cms.Path(process.EcalDeadCellTriggerPrimitiveFilter) -process.Flag_HBHENoiseFilter = cms.Path(process.HBHENoiseFilterResultProducer+process.HBHENoiseFilter) -process.Flag_HBHENoiseIsoFilter = cms.Path(process.HBHENoiseFilterResultProducer+process.HBHENoiseIsoFilter) -process.Flag_HcalStripHaloFilter = cms.Path(process.HcalStripHaloFilter) -process.Flag_METFilters = cms.Path(process.metFilters) -process.Flag_chargedHadronTrackResolutionFilter = cms.Path(process.chargedHadronTrackResolutionFilter) -process.Flag_ecalBadCalibFilter = cms.Path(process.ecalBadCalibFilter) -process.Flag_ecalLaserCorrFilter = cms.Path(process.ecalLaserCorrFilter) -process.Flag_eeBadScFilter = cms.Path(process.eeBadScFilter) -process.Flag_globalSuperTightHalo2016Filter = cms.Path(process.globalSuperTightHalo2016Filter) -process.Flag_globalTightHalo2016Filter = cms.Path(process.globalTightHalo2016Filter) -process.Flag_goodVertices = cms.Path(process.primaryVertexFilter) -process.Flag_hcalLaserEventFilter = cms.Path(process.hcalLaserEventFilter) -process.Flag_hfNoisyHitsFilter = cms.Path(process.hfNoisyHitsFilter) -process.Flag_muonBadTrackFilter = cms.Path(process.muonBadTrackFilter) -process.Flag_trackingFailureFilter = cms.Path(process.goodVertices+process.trackingFailureFilter) -process.Flag_trkPOGFilters = cms.Path(process.trkPOGFilters) -process.Flag_trkPOG_logErrorTooManyClusters = cms.Path(~process.logErrorTooManyClusters) -process.Flag_trkPOG_manystripclus53X = cms.Path(~process.manystripclus53X) -process.Flag_trkPOG_toomanystripclus53X = cms.Path(~process.toomanystripclus53X) -process.endjob_step = cms.EndPath(process.endOfProcess) -process.MINIAODSIMoutput_step = cms.EndPath(process.MINIAODSIMoutput) - -process.deepSetElectronVarProducerPath = cms.Path(process.deepSetElectronVarProducer) -process.FakeTrackVarProducerPath = cms.Path(process.fakeTrackVarProducer) -process.tensorflowPluginPath = cms.Path(process.tensorflowPlugin) - -# Schedule definition -process.schedule = cms.Schedule(process.Flag_HBHENoiseFilter, - process.Flag_HBHENoiseIsoFilter, - process.Flag_CSCTightHaloFilter, - process.Flag_CSCTightHaloTrkMuUnvetoFilter, - process.Flag_CSCTightHalo2015Filter, - process.Flag_globalTightHalo2016Filter, - process.Flag_globalSuperTightHalo2016Filter, - process.Flag_HcalStripHaloFilter, - process.Flag_hcalLaserEventFilter, - process.Flag_EcalDeadCellTriggerPrimitiveFilter, - process.Flag_EcalDeadCellBoundaryEnergyFilter, - process.Flag_ecalBadCalibFilter, - process.Flag_goodVertices, - process.Flag_eeBadScFilter, - process.Flag_ecalLaserCorrFilter, - process.Flag_trkPOGFilters, - process.Flag_chargedHadronTrackResolutionFilter, - process.Flag_muonBadTrackFilter, - process.Flag_BadChargedCandidateFilter, - process.Flag_BadPFMuonFilter, - process.Flag_BadPFMuonDzFilter, - process.Flag_hfNoisyHitsFilter, - process.Flag_BadChargedCandidateSummer16Filter, - process.Flag_BadPFMuonSummer16Filter, - process.Flag_trkPOG_manystripclus53X, - process.Flag_trkPOG_toomanystripclus53X, - process.Flag_trkPOG_logErrorTooManyClusters, - process.Flag_METFilters, - process.candidateTracks, - #process.tensorflowPluginPath, - #process.deepSetElectronVarProducerPath, - process.FakeTrackVarProducerPath, - process.endjob_step, - process.MINIAODSIMoutput_step) -process.schedule.associate(process.patTask) -from PhysicsTools.PatAlgos.tools.helpers import associatePatAlgosToolsTask -associatePatAlgosToolsTask(process) - -#Setup FWK for multithreaded -process.options.numberOfThreads = 4 -process.options.numberOfStreams = 0 -process.options.numberOfConcurrentLuminosityBlocks = 1 -process.options.eventSetup.numberOfConcurrentIOVs = 1 -if hasattr(process, 'DQMStore'): process.DQMStore.assertLegacySafe=cms.untracked.bool(False) - -# customisation of the process. - -# Automatic addition of the customisation function from Configuration.DataProcessing.Utils -from Configuration.DataProcessing.Utils import addMonitoring - -#call to customisation function addMonitoring imported from Configuration.DataProcessing.Utils -process = addMonitoring(process) - -# End of customisation functions - -# customisation of the process. - -# Automatic addition of the customisation function from PhysicsTools.PatAlgos.slimming.miniAOD_tools -from PhysicsTools.PatAlgos.slimming.miniAOD_tools import miniAOD_customizeAllMC - -#call to customisation function miniAOD_customizeAllMC imported from PhysicsTools.PatAlgos.slimming.miniAOD_tools -process = miniAOD_customizeAllMC(process) - -# End of customisation functions - -# Customisation from command line - -# Add early deletion of temporary data products to reduce peak memory need -from Configuration.StandardSequences.earlyDeleteSettings_cff import customiseEarlyDelete -process = customiseEarlyDelete(process) -# End adding early deletion diff --git a/ToyModels/plugins/ParticleGunVarProducer.cc b/ToyModels/plugins/ParticleGunVarProducer.cc index 021409a97..bd1cead40 100644 --- a/ToyModels/plugins/ParticleGunVarProducer.cc +++ b/ToyModels/plugins/ParticleGunVarProducer.cc @@ -198,8 +198,8 @@ ParticleGunVarProducer::passesVeto (const osu::Track &pr #if DATA_FORMAT == MINI_AOD_2017 bool passes = probe.deltaRToClosestPFMuon () > 0.15 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM - bool passes = probe.deltaRToClosestPFMuon () > 0.15 +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM || DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM + bool passes = probe.deltaRToClosestMuon () > 0.15 && probe.hitAndTOBDrop_bestTrackMissingOuterHits () >= 3.0; #else bool passes = probe.deltaRToClosestMuon () > 0.15 diff --git a/ToyModels/plugins/TrainingPreselectionSkim.h b/ToyModels/plugins/TrainingPreselectionSkim.h index 142a571c6..76fd64491 100644 --- a/ToyModels/plugins/TrainingPreselectionSkim.h +++ b/ToyModels/plugins/TrainingPreselectionSkim.h @@ -1,5 +1,5 @@ #include "FWCore/Common/interface/TriggerNames.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Run.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/MakerMacros.h" @@ -23,7 +23,7 @@ using namespace std; -class TrainingPreselectionSkim : public edm::EDFilter { +class TrainingPreselectionSkim : public edm::stream::EDFilter<> { public: TrainingPreselectionSkim (const edm::ParameterSet &); ~TrainingPreselectionSkim (); diff --git a/TriggerAnalysis/plugins/EventDisplays.h b/TriggerAnalysis/plugins/EventDisplays.h index 7e90f98c4..4569ebc53 100644 --- a/TriggerAnalysis/plugins/EventDisplays.h +++ b/TriggerAnalysis/plugins/EventDisplays.h @@ -12,7 +12,7 @@ #include "DataFormats/METReco/interface/PFMET.h" #include "DataFormats/MuonReco/interface/Muon.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/EventSetup.h" #include "FWCore/ParameterSet/interface/ParameterSet.h" @@ -20,7 +20,7 @@ using namespace std; -class EventDisplays : public edm::EDFilter +class EventDisplays : public edm::stream::EDFilter<> { public: EventDisplays (const edm::ParameterSet &); diff --git a/TriggerAnalysis/plugins/EventTriggerVarProducer.cc b/TriggerAnalysis/plugins/EventTriggerVarProducer.cc index d810287fa..1cf77d64b 100644 --- a/TriggerAnalysis/plugins/EventTriggerVarProducer.cc +++ b/TriggerAnalysis/plugins/EventTriggerVarProducer.cc @@ -358,7 +358,7 @@ bool EventTriggerVarProducer::isGoodTrack(const TYPE(tracks) &track, track.hitPattern().trackerLayersWithoutMeasurement(reco::HitPattern::TRACK_HITS) == 0 && track.pfIsolationDR03().chargedHadronIso() / track.pt() < 0.01); // replaces trackIsoNoPUDRp3/pt -#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM // Verification needed ! +#elif DATA_FORMAT == MINI_AOD_2022_CUSTOM || DATA_FORMAT == MINI_AOD_ONLY_2022_CUSTOM // Verification needed ! bool result = (fabs(track.eta()) < 2.5 && track.isHighPurityTrack() && fabs(track.dxy()) < 0.2 && diff --git a/TriggerAnalysis/plugins/HLTrigEffAnalyzer.cc b/TriggerAnalysis/plugins/HLTrigEffAnalyzer.cc index cbba01062..f000fee24 100644 --- a/TriggerAnalysis/plugins/HLTrigEffAnalyzer.cc +++ b/TriggerAnalysis/plugins/HLTrigEffAnalyzer.cc @@ -459,18 +459,7 @@ double HLTrigEffAnalyzer::maxJetDeltaPhi(const vector &jets) const{ } bool HLTrigEffAnalyzer::passJetTightLepVeto(const pat::Jet& jet) const { - bool result = ( - (jet.neutralHadronEnergyFraction()<0.90 && - jet.neutralEmEnergyFraction()<0.90 && - (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && - jet.muonEnergyFraction()<0.8 - ) - && - ((abs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || abs(jet.eta())>2.4) - && - abs(jet.eta())<=3.0 - )|| - (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && abs(jet.eta())>3.0); + bool result = anatools::jetPassesTightLepVeto(jet); // This automatically uses the correct jet ID criteria return result; } diff --git a/TriggerAnalysis/plugins/L1EmulationInfoPrinter.cc b/TriggerAnalysis/plugins/L1EmulationInfoPrinter.cc index 1bff36d8d..bce6f1e77 100644 --- a/TriggerAnalysis/plugins/L1EmulationInfoPrinter.cc +++ b/TriggerAnalysis/plugins/L1EmulationInfoPrinter.cc @@ -65,6 +65,8 @@ #include "DataFormats/Common/interface/TriggerResults.h" #include "DataFormats/PatCandidates/interface/TriggerObjectStandAlone.h" +#include "OSUT3Analysis/AnaTools/interface/CommonUtils.h" + // // class declaration // @@ -526,18 +528,7 @@ bool L1EmulationInfoPrinter::isGoodTrack(const pat::IsolatedTrack &track, }*/ bool L1EmulationInfoPrinter::passJetTightLepVeto(const reco::PFJet& jet) const { - bool result = ( - (jet.neutralHadronEnergyFraction()<0.90 && - jet.neutralEmEnergyFraction()<0.90 && - (jet.chargedMultiplicity() + jet.neutralMultiplicity())>1 && - jet.muonEnergyFraction()<0.8 - ) - && - ((abs(jet.eta())<=2.4 && jet.chargedHadronEnergyFraction()>0 && jet.chargedMultiplicity()>0 && jet.chargedEmEnergyFraction()<0.90) || abs(jet.eta())>2.4) - && - abs(jet.eta())<=3.0 - )|| - (jet.neutralEmEnergyFraction()<0.90 && jet.neutralMultiplicity()>10 && abs(jet.eta())>3.0); + bool result = anatools::jetPassesTightLepVeto(jet); // This automatically uses the correct jet ID criteria return result; } //define this as a plug-in diff --git a/TriggerAnalysis/plugins/L1TriggerInfoPrinter.cc b/TriggerAnalysis/plugins/L1TriggerInfoPrinter.cc index 49668abf4..6048b3f72 100644 --- a/TriggerAnalysis/plugins/L1TriggerInfoPrinter.cc +++ b/TriggerAnalysis/plugins/L1TriggerInfoPrinter.cc @@ -1,7 +1,8 @@ #include "DisappTrks/TriggerAnalysis/plugins/L1TriggerInfoPrinter.h" L1TriggerInfoPrinter::L1TriggerInfoPrinter (const edm::ParameterSet &cfg) : - l1GtReadoutRecord_ (cfg.getParameter ("l1GtReadoutRecord")) + l1GtReadoutRecord_ (cfg.getParameter ("l1GtReadoutRecord")), + tok_l1gt_ (esConsumes()) { tok_gtRec_ = consumes (l1GtReadoutRecord_); } @@ -17,7 +18,8 @@ L1TriggerInfoPrinter::analyze (const edm::Event &iEvent, const edm::EventSetup & ss.str (""); edm::ESHandle menuRcd; - iSetup.get().get(menuRcd) ; + // iSetup.get().get(menuRcd) ; + menuRcd = iSetup.getHandle(tok_l1gt_); const L1GtTriggerMenu* menu = menuRcd.product(); const AlgorithmMap& bitMap = menu->gtAlgorithmMap(); ss<<" Number of algorithms in L1 GT menu: "< private: edm::InputTag l1GtReadoutRecord_; - + const edm::ESGetToken tok_l1gt_; edm::EDGetTokenT tok_gtRec_; }; diff --git a/TriggerAnalysis/plugins/MiniAODTriggerAnalyzer.cc b/TriggerAnalysis/plugins/MiniAODTriggerAnalyzer.cc index cf8bc6425..8c1fcd498 100644 --- a/TriggerAnalysis/plugins/MiniAODTriggerAnalyzer.cc +++ b/TriggerAnalysis/plugins/MiniAODTriggerAnalyzer.cc @@ -49,7 +49,7 @@ void MiniAODTriggerAnalyzer::analyze(const edm::Event& iEvent, const edm::EventS std::cout << "\n === TRIGGER PATHS === " << std::endl; for (unsigned int i = 0, n = triggerBits->size(); i < n; ++i) { std::cout << "Trigger " << names.triggerName(i) << - ", prescale " << triggerPrescales->getPrescaleForIndex(i) << + ", prescale " << triggerPrescales->getPrescaleForIndex(i) << ": " << (triggerBits->accept(i) ? "PASS" : "fail (or not run)") << std::endl; } diff --git a/TriggerAnalysis/plugins/TriggerEfficiency.h b/TriggerAnalysis/plugins/TriggerEfficiency.h index 3825ca883..a7fa13713 100644 --- a/TriggerAnalysis/plugins/TriggerEfficiency.h +++ b/TriggerAnalysis/plugins/TriggerEfficiency.h @@ -18,7 +18,7 @@ #include "DataFormats/TrackReco/interface/Track.h" #include "FWCore/Common/interface/TriggerNames.h" -#include "FWCore/Framework/interface/EDFilter.h" +#include "FWCore/Framework/interface/stream/EDFilter.h" #include "FWCore/Framework/interface/Event.h" #include "FWCore/Framework/interface/EventSetup.h" #include "FWCore/ParameterSet/interface/ParameterSet.h" @@ -31,7 +31,7 @@ using namespace std; template -class TriggerEfficiency : public edm::EDFilter +class TriggerEfficiency : public edm::stream::EDFilter<> { public: TriggerEfficiency (const edm::ParameterSet &); diff --git a/TriggerAnalysis/python/AllTriggers.py b/TriggerAnalysis/python/AllTriggers.py index 992d4f968..7fdd62a77 100644 --- a/TriggerAnalysis/python/AllTriggers.py +++ b/TriggerAnalysis/python/AllTriggers.py @@ -13,7 +13,7 @@ print("# Trigger filters: 2017") elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_"): print("# Trigger filters: 2018") -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): print("# Trigger filters: 2022") else: print("# Trigger filters: 2015") @@ -127,7 +127,7 @@ triggerFiltersMuon = ("hltIterL3MuonCandidates::HLT", "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07") triggerFiltersTau = ("hltSelectedPFTausTrackPt30MediumAbsOrRelIsolation1Prong::HLT", "hltPFTau50TrackPt30MediumAbsOrRelIso1Prong") -if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +if os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): triggerFiltersMet = { 'HLT_MET105_IsoTrk50_v' : ['hltMET105'], 'HLT_MET120_IsoTrk50_v' : ['hltMET120'], @@ -151,8 +151,8 @@ } triggerFiltersElectron = ("hltEgammaCandidates::HLT", "hltEle32WPTightGsfTrackIsoFilter") - triggerFiltersMuon = ("hltIterL3MuonCandidates::HLT", "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered0p07") - triggerFiltersTau = ("hltSelectedPFTausTrackPt30MediumAbsOrRelIsolation1Prong::HLT", "hltPFTau50TrackPt30MediumAbsOrRelIso1Prong") + triggerFiltersMuon = ("hltIterL3MuonCandidates::HLT", "hltL3crIsoL1sSingleMu22L1f0L2f10QL3f24QL3trkIsoFiltered") + triggerFiltersTau = ("hltHpsSinglePFTau20MediumDitauWPDeepTauNoMatchForVBFIsoTau::HLT", "hltHpsOverlapFilterIsoMu24MediumDeepTauPFTau20") # Flat cms.vstring of filters for use in EventTriggerVarProducer diff --git a/TriggerAnalysis/python/TriggerAnalysisSelections.py b/TriggerAnalysis/python/TriggerAnalysisSelections.py index bb45c0b70..3c45fb930 100644 --- a/TriggerAnalysis/python/TriggerAnalysisSelections.py +++ b/TriggerAnalysis/python/TriggerAnalysisSelections.py @@ -9,7 +9,7 @@ def createHitsVariations (ch, chName): globals ().update (createChannelVariations (ch, chName, None, cutTrkNLayersVariations)) globals ().update (createChannelVariations (ch, chName, cutTrkNValidHitsSignal, cutTrkNValidHitsVariations)) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut (globals ()[chName + 'NHits3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut (globals ()[chName + 'NLayers3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) @@ -18,7 +18,7 @@ def createHitsVariationsDict (channelDict): chName = channelDict[ch].name.value() globals ().update (createChannelVariations (channelDict[ch], chName, None, cutTrkNLayersVariations)) globals ().update (createChannelVariations (channelDict[ch], chName, cutTrkNValidHitsSignal, cutTrkNValidHitsVariations)) - if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): + if os.environ["CMSSW_VERSION"].startswith ("CMSSW_9_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_10_2_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): replaceSingleCut (globals ()[chName + 'NHits3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) replaceSingleCut (globals ()[chName + 'NLayers3'].cuts, cutTrkNValidPixelHits[3], cutTrkNValidPixelHitsSignal) @@ -82,7 +82,7 @@ def createHitsVariationsDict (channelDict): cutElectronNMissMid, cutElectronTightPFIso, ] -elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_"): +elif os.environ["CMSSW_VERSION"].startswith ("CMSSW_12_4_") or os.environ["CMSSW_VERSION"].startswith ("CMSSW_13_0_"): withElectronCuts = [ cutLeadJetCentral, cutElectronPt55,