From 1dd0b7663e4388c0157b6ae04fa2c537918dbd62 Mon Sep 17 00:00:00 2001
From: Karim <uvclu@student.kit.edu>
Date: Sun, 24 Jan 2016 20:57:10 +0100
Subject: [PATCH] added class for BDT with MEM_p as input in the 4tag
categories
---
bin/BuildFile.xml | 2 +
bin/Membdt_test.cc | 54 +
data/membdtweights_v1/weights_43.xml | 12452 +++++++++++++++++++++++
data/membdtweights_v1/weights_44.xml | 9042 +++++++++++++++++
data/membdtweights_v1/weights_53.xml | 10417 +++++++++++++++++++
data/membdtweights_v1/weights_54.xml | 4657 +++++++++
data/membdtweights_v1/weights_62.xml | 13553 +++++++++++++++++++++++++
data/membdtweights_v1/weights_63.xml | 5218 ++++++++++
data/membdtweights_v1/weights_64.xml | 8899 ++++++++++++++++
interface/MemBDTClassifier.h | 51 +
src/MemBDTClassifier.cpp | 449 +
src/classes.h | 2 +
src/classes_def.xml | 3 +-
13 files changed, 64798 insertions(+), 1 deletion(-)
create mode 100644 bin/Membdt_test.cc
create mode 100644 data/membdtweights_v1/weights_43.xml
create mode 100644 data/membdtweights_v1/weights_44.xml
create mode 100644 data/membdtweights_v1/weights_53.xml
create mode 100644 data/membdtweights_v1/weights_54.xml
create mode 100644 data/membdtweights_v1/weights_62.xml
create mode 100644 data/membdtweights_v1/weights_63.xml
create mode 100644 data/membdtweights_v1/weights_64.xml
create mode 100644 interface/MemBDTClassifier.h
create mode 100644 src/MemBDTClassifier.cpp
diff --git a/bin/BuildFile.xml b/bin/BuildFile.xml
index c5ac506..505b169 100644
--- a/bin/BuildFile.xml
+++ b/bin/BuildFile.xml
@@ -17,4 +17,6 @@
<bin name="mem_test" file="mem_test.cc"></bin>
<bin name="bdt_test" file="bdt_test.cc"></bin>
<bin name="Blrbdt_test" file="Blrbdt_test.cc"></bin>
+<bin name="Membdt_test" file="Membdt_test.cc"></bin>
+
<Flags CXXFLAGS="-g"/>
diff --git a/bin/Membdt_test.cc b/bin/Membdt_test.cc
new file mode 100644
index 0000000..b1a5f74
--- /dev/null
+++ b/bin/Membdt_test.cc
@@ -0,0 +1,54 @@
+#include "TTH/CommonClassifier/interface/MemBDTClassifier.h"
+#include <iostream>
+
+using namespace std;
+
+const TLorentzVector p4(double pt, double eta, double phi, double mass) {
+ TLorentzVector lv;
+ lv.SetPtEtaPhiM(pt, eta, phi, mass);
+ return lv;
+}
+
+int main(){
+
+ //Setup the BDT
+ MEMBDTClassifier bdt;
+
+ //Add some objects to the BDT
+ auto jets_p4 = {
+ p4(242.816604614, -0.107542805374, 1.25506973267, 24.5408706665),
+ p4(191.423553467, -0.46368226409, 0.750520706177, 30.5682048798),
+ p4(77.6708831787, -0.709680855274, -2.53739523888, 10.4904966354),
+ p4(235.892044067, -0.997860729694, -2.10646605492, 27.9887943268),
+ p4(52.0134391785, -0.617823541164, -1.23360788822, 6.45914268494),
+ p4(35.6511192322, 0.566395223141, -2.51394343376, 8.94268417358),
+ };
+
+ auto leps_p4 = {
+ p4(52.8751449585, -0.260020583868, -2.55171084404, 0.139569997787)
+ };
+
+ //create a MET
+ TLorentzVector lv_met;
+ lv_met.SetPtEtaPhiM(92.1731872559,0., -1.08158898354, 0.);
+ for (int i=0; i<3; i++) {
+ auto result = bdt.GetBDTOutput(
+ leps_p4,
+ jets_p4,
+ {0.92, 0.95, 0.9, 0.1, 0.3, 0.99},
+ {},
+ {},
+ lv_met,
+ 0.7
+ );
+ std::cout << "================================" << std::endl;
+ std::cout << "bdtoutput=" << result << std::endl;
+ std::cout << "bdtcategory=" << bdt.GetCategoryOfLastEvaluation() << std::endl;
+ auto varMap = bdt.GetVariablesOfLastEvaluation();
+ std::cout << "Name : Value of all potential BDT inputs " << std::endl;
+ for (auto& i : varMap) {
+ std::cout << i.first << " : " << i.second << std::endl;
+ }
+ std::cout << std::endl;
+ }
+}
diff --git a/data/membdtweights_v1/weights_43.xml b/data/membdtweights_v1/weights_43.xml
new file mode 100644
index 0000000..7c6e338
--- /dev/null
+++ b/data/membdtweights_v1/weights_43.xml
@@ -0,0 +1,12452 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Wed Nov 25 18:10:14 2015"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/newTrain/3makeHistosAndCards"/>
+ <Info name="Training events" value="71097"/>
+ <Info name="TrainingTime" value="9.55156920e+01"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
+ <Option name="V" modified="Yes">False</Option>
+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
+ <Option name="NTrees" modified="Yes">1113</Option>
+ <Option name="MaxDepth" modified="Yes">2</Option>
+ <Option name="MinNodeSize" modified="No">5%</Option>
+ <Option name="nCuts" modified="Yes">76</Option>
+ <Option name="BoostType" modified="Yes">Grad</Option>
+ <Option name="AdaBoostR2Loss" modified="No">quadratic</Option>
+ <Option name="UseBaggedBoost" modified="Yes">True</Option>
+ <Option name="Shrinkage" modified="Yes">1.968542e-02</Option>
+ <Option name="AdaBoostBeta" modified="No">5.000000e-01</Option>
+ <Option name="UseRandomisedTrees" modified="No">False</Option>
+ <Option name="UseNvars" modified="No">3</Option>
+ <Option name="UsePoissonNvars" modified="No">True</Option>
+ <Option name="BaggedSampleFraction" modified="No">6.232292e-01</Option>
+ <Option name="UseYesNoLeaf" modified="No">True</Option>
+ <Option name="NegWeightTreatment" modified="Yes">ignorenegweightsintraining</Option>
+ <Option name="Css" modified="No">1.000000e+00</Option>
+ <Option name="Cts_sb" modified="No">1.000000e+00</Option>
+ <Option name="Ctb_ss" modified="No">1.000000e+00</Option>
+ <Option name="Cbb" modified="No">1.000000e+00</Option>
+ <Option name="NodePurityLimit" modified="No">5.000000e-01</Option>
+ <Option name="SeparationType" modified="No">giniindex</Option>
+ <Option name="DoBoostMonitor" modified="No">False</Option>
+ <Option name="UseFisherCuts" modified="No">False</Option>
+ <Option name="MinLinCorrForFisher" modified="No">8.000000e-01</Option>
+ <Option name="UseExclusiveVars" modified="No">False</Option>
+ <Option name="DoPreselection" modified="No">False</Option>
+ <Option name="SigToBkgFraction" modified="No">1.000000e+00</Option>
+ <Option name="PruneMethod" modified="No">nopruning</Option>
+ <Option name="PruneStrength" modified="No">0.000000e+00</Option>
+ <Option name="PruningValFraction" modified="No">5.000000e-01</Option>
+ <Option name="nEventsMin" modified="No">0</Option>
+ <Option name="UseBaggedGrad" modified="No">False</Option>
+ <Option name="GradBaggingFraction" modified="Yes">6.232292e-01</Option>
+ <Option name="UseNTrainEvents" modified="No">0</Option>
+ <Option name="NNodesMax" modified="No">0</Option>
+ </Options>
+ <Variables NVar="9">
+ <Variable VarIndex="0" Expression="h1" Label="h1" Title="h1" Unit="" Internal="h1" Type="F" Min="-2.05159202e-01" Max="3.48909229e-01"/>
+ <Variable VarIndex="1" Expression="avg_dr_tagged_jets" Label="avg_dr_tagged_jets" Title="avg_dr_tagged_jets" Unit="" Internal="avg_dr_tagged_jets" Type="F" Min="5.64655125e-01" Max="4.09695530e+00"/>
+ <Variable VarIndex="2" Expression="sphericity" Label="sphericity" Title="sphericity" Unit="" Internal="sphericity" Type="F" Min="7.35770306e-03" Max="9.47874248e-01"/>
+ <Variable VarIndex="3" Expression="third_highest_btag" Label="third_highest_btag" Title="third_highest_btag" Unit="" Internal="third_highest_btag" Type="F" Min="8.90001297e-01" Max="9.99972463e-01"/>
+ <Variable VarIndex="4" Expression="HT" Label="HT" Title="HT" Unit="" Internal="HT" Type="F" Min="1.28446915e+02" Max="2.51697778e+03"/>
+ <Variable VarIndex="5" Expression="dev_from_avg_disc_btags" Label="dev_from_avg_disc_btags" Title="dev_from_avg_disc_btags" Unit="" Internal="dev_from_avg_disc_btags" Type="F" Min="1.55857549e-10" Max="2.67457333e-03"/>
+ <Variable VarIndex="6" Expression="M3" Label="M3" Title="M3" Unit="" Internal="M3" Type="F" Min="4.30180168e+01" Max="2.31213672e+03"/>
+ <Variable VarIndex="7" Expression="min_dr_tagged_jets" Label="min_dr_tagged_jets" Title="min_dr_tagged_jets" Unit="" Internal="min_dr_tagged_jets" Type="F" Min="3.97894382e-01" Max="3.50590634e+00"/>
+ <Variable VarIndex="8" Expression="Evt_CSV_Average" Label="Evt_CSV_Average" Title="Evt_CSV_Average" Unit="" Internal="Evt_CSV_Average" Type="F" Min="6.78193331e-01" Max="9.71184731e-01"/>
+ </Variables>
+ <Spectators NSpec="0"/>
+ <Classes NClass="2">
+ <Class Name="Signal" Index="0"/>
+ <Class Name="Background" Index="1"/>
+ </Classes>
+ <Transformations NTransformations="0"/>
+ <MVAPdfs/>
+ <Weights NTrees="1113" AnalysisType="1">
+ <BinaryTree type="DecisionTree" boostWeight="1.0000000000000000e+00" itree="0">
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diff --git a/data/membdtweights_v1/weights_44.xml b/data/membdtweights_v1/weights_44.xml
new file mode 100644
index 0000000..9bd014b
--- /dev/null
+++ b/data/membdtweights_v1/weights_44.xml
@@ -0,0 +1,9042 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Sat Jan 16 18:56:59 2016"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/MEMstudies/3makeHistosAndCards"/>
+ <Info name="Training events" value="2786"/>
+ <Info name="TrainingTime" value="1.16597295e+00"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
+ <Option name="V" modified="Yes">False</Option>
+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
+ <Option name="NTrees" modified="Yes">779</Option>
+ <Option name="MaxDepth" modified="Yes">2</Option>
+ <Option name="MinNodeSize" modified="No">5%</Option>
+ <Option name="nCuts" modified="Yes">15</Option>
+ <Option name="BoostType" modified="Yes">Grad</Option>
+ <Option name="AdaBoostR2Loss" modified="No">quadratic</Option>
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+ <Option name="Shrinkage" modified="Yes">1.295894e-02</Option>
+ <Option name="AdaBoostBeta" modified="No">5.000000e-01</Option>
+ <Option name="UseRandomisedTrees" modified="No">False</Option>
+ <Option name="UseNvars" modified="No">3</Option>
+ <Option name="UsePoissonNvars" modified="No">True</Option>
+ <Option name="BaggedSampleFraction" modified="No">1.809090e-01</Option>
+ <Option name="UseYesNoLeaf" modified="No">True</Option>
+ <Option name="NegWeightTreatment" modified="Yes">ignorenegweightsintraining</Option>
+ <Option name="Css" modified="No">1.000000e+00</Option>
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+ <Option name="NodePurityLimit" modified="No">5.000000e-01</Option>
+ <Option name="SeparationType" modified="No">giniindex</Option>
+ <Option name="DoBoostMonitor" modified="No">False</Option>
+ <Option name="UseFisherCuts" modified="No">False</Option>
+ <Option name="MinLinCorrForFisher" modified="No">8.000000e-01</Option>
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+ <Option name="DoPreselection" modified="No">False</Option>
+ <Option name="SigToBkgFraction" modified="No">1.000000e+00</Option>
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+ <Option name="PruningValFraction" modified="No">5.000000e-01</Option>
+ <Option name="nEventsMin" modified="No">0</Option>
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+ <Option name="GradBaggingFraction" modified="Yes">1.809090e-01</Option>
+ <Option name="UseNTrainEvents" modified="No">0</Option>
+ <Option name="NNodesMax" modified="No">0</Option>
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diff --git a/data/membdtweights_v1/weights_53.xml b/data/membdtweights_v1/weights_53.xml
new file mode 100644
index 0000000..8706415
--- /dev/null
+++ b/data/membdtweights_v1/weights_53.xml
@@ -0,0 +1,10417 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Wed Nov 25 18:36:22 2015"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/newTrain/3makeHistosAndCards"/>
+ <Info name="Training events" value="65595"/>
+ <Info name="TrainingTime" value="5.51906850e+01"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
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+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
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+ <Option name="MaxDepth" modified="Yes">2</Option>
+ <Option name="MinNodeSize" modified="No">5%</Option>
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diff --git a/data/membdtweights_v1/weights_54.xml b/data/membdtweights_v1/weights_54.xml
new file mode 100644
index 0000000..1ed2a82
--- /dev/null
+++ b/data/membdtweights_v1/weights_54.xml
@@ -0,0 +1,4657 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Sat Jan 16 18:59:19 2016"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/MEMstudies/3makeHistosAndCards"/>
+ <Info name="Training events" value="7649"/>
+ <Info name="TrainingTime" value="2.84991598e+00"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
+ <Option name="V" modified="Yes">False</Option>
+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
+ <Option name="NTrees" modified="Yes">397</Option>
+ <Option name="MaxDepth" modified="Yes">2</Option>
+ <Option name="MinNodeSize" modified="No">5%</Option>
+ <Option name="nCuts" modified="Yes">26</Option>
+ <Option name="BoostType" modified="Yes">Grad</Option>
+ <Option name="AdaBoostR2Loss" modified="No">quadratic</Option>
+ <Option name="UseBaggedBoost" modified="Yes">True</Option>
+ <Option name="Shrinkage" modified="Yes">1.054490e-02</Option>
+ <Option name="AdaBoostBeta" modified="No">5.000000e-01</Option>
+ <Option name="UseRandomisedTrees" modified="No">False</Option>
+ <Option name="UseNvars" modified="No">3</Option>
+ <Option name="UsePoissonNvars" modified="No">True</Option>
+ <Option name="BaggedSampleFraction" modified="No">5.239328e-01</Option>
+ <Option name="UseYesNoLeaf" modified="No">True</Option>
+ <Option name="NegWeightTreatment" modified="Yes">ignorenegweightsintraining</Option>
+ <Option name="Css" modified="No">1.000000e+00</Option>
+ <Option name="Cts_sb" modified="No">1.000000e+00</Option>
+ <Option name="Ctb_ss" modified="No">1.000000e+00</Option>
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+ <Option name="NodePurityLimit" modified="No">5.000000e-01</Option>
+ <Option name="SeparationType" modified="No">giniindex</Option>
+ <Option name="DoBoostMonitor" modified="No">False</Option>
+ <Option name="UseFisherCuts" modified="No">False</Option>
+ <Option name="MinLinCorrForFisher" modified="No">8.000000e-01</Option>
+ <Option name="UseExclusiveVars" modified="No">False</Option>
+ <Option name="DoPreselection" modified="No">False</Option>
+ <Option name="SigToBkgFraction" modified="No">1.000000e+00</Option>
+ <Option name="PruneMethod" modified="No">nopruning</Option>
+ <Option name="PruneStrength" modified="No">0.000000e+00</Option>
+ <Option name="PruningValFraction" modified="No">5.000000e-01</Option>
+ <Option name="nEventsMin" modified="No">0</Option>
+ <Option name="UseBaggedGrad" modified="No">False</Option>
+ <Option name="GradBaggingFraction" modified="Yes">5.239328e-01</Option>
+ <Option name="UseNTrainEvents" modified="No">0</Option>
+ <Option name="NNodesMax" modified="No">0</Option>
+ </Options>
+ <Variables NVar="11">
+ <Variable VarIndex="0" Expression="avg_btag_disc_btags" Label="avg_btag_disc_btags" Title="avg_btag_disc_btags" Unit="" Internal="avg_btag_disc_btags" Type="F" Min="9.01970029e-01" Max="9.99378324e-01"/>
+ <Variable VarIndex="1" Expression="h3" Label="h3" Title="h3" Unit="" Internal="h3" Type="F" Min="-3.48133892e-02" Max="9.71027613e-01"/>
+ <Variable VarIndex="2" Expression="all_sum_pt_with_met" Label="all_sum_pt_with_met" Title="all_sum_pt_with_met" Unit="" Internal="all_sum_pt_with_met" Type="F" Min="2.37994095e+02" Max="2.78361206e+03"/>
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diff --git a/data/membdtweights_v1/weights_62.xml b/data/membdtweights_v1/weights_62.xml
new file mode 100644
index 0000000..3cc913f
--- /dev/null
+++ b/data/membdtweights_v1/weights_62.xml
@@ -0,0 +1,13553 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Wed Nov 25 20:02:06 2015"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/newTrain/3makeHistosAndCards"/>
+ <Info name="Training events" value="312596"/>
+ <Info name="TrainingTime" value="4.68283430e+02"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
+ <Option name="V" modified="Yes">False</Option>
+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
+ <Option name="NTrees" modified="Yes">1244</Option>
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+ <Option name="MinNodeSize" modified="No">5%</Option>
+ <Option name="nCuts" modified="Yes">63</Option>
+ <Option name="BoostType" modified="Yes">Grad</Option>
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+ <Option name="AdaBoostBeta" modified="No">5.000000e-01</Option>
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+ <Option name="UsePoissonNvars" modified="No">True</Option>
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+ <Option name="NegWeightTreatment" modified="Yes">ignorenegweightsintraining</Option>
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diff --git a/data/membdtweights_v1/weights_63.xml b/data/membdtweights_v1/weights_63.xml
new file mode 100644
index 0000000..17eeb2a
--- /dev/null
+++ b/data/membdtweights_v1/weights_63.xml
@@ -0,0 +1,5218 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Wed Nov 25 17:23:48 2015"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/newTrain/3makeHistosAndCards"/>
+ <Info name="Training events" value="80780"/>
+ <Info name="TrainingTime" value="3.02611160e+01"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
+ <Option name="V" modified="Yes">False</Option>
+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
+ <Option name="NTrees" modified="Yes">454</Option>
+ <Option name="MaxDepth" modified="Yes">2</Option>
+ <Option name="MinNodeSize" modified="No">5%</Option>
+ <Option name="nCuts" modified="Yes">38</Option>
+ <Option name="BoostType" modified="Yes">Grad</Option>
+ <Option name="AdaBoostR2Loss" modified="No">quadratic</Option>
+ <Option name="UseBaggedBoost" modified="Yes">True</Option>
+ <Option name="Shrinkage" modified="Yes">3.284414e-02</Option>
+ <Option name="AdaBoostBeta" modified="No">5.000000e-01</Option>
+ <Option name="UseRandomisedTrees" modified="No">False</Option>
+ <Option name="UseNvars" modified="No">3</Option>
+ <Option name="UsePoissonNvars" modified="No">True</Option>
+ <Option name="BaggedSampleFraction" modified="No">2.589974e-01</Option>
+ <Option name="UseYesNoLeaf" modified="No">True</Option>
+ <Option name="NegWeightTreatment" modified="Yes">ignorenegweightsintraining</Option>
+ <Option name="Css" modified="No">1.000000e+00</Option>
+ <Option name="Cts_sb" modified="No">1.000000e+00</Option>
+ <Option name="Ctb_ss" modified="No">1.000000e+00</Option>
+ <Option name="Cbb" modified="No">1.000000e+00</Option>
+ <Option name="NodePurityLimit" modified="No">5.000000e-01</Option>
+ <Option name="SeparationType" modified="No">giniindex</Option>
+ <Option name="DoBoostMonitor" modified="No">False</Option>
+ <Option name="UseFisherCuts" modified="No">False</Option>
+ <Option name="MinLinCorrForFisher" modified="No">8.000000e-01</Option>
+ <Option name="UseExclusiveVars" modified="No">False</Option>
+ <Option name="DoPreselection" modified="No">False</Option>
+ <Option name="SigToBkgFraction" modified="No">1.000000e+00</Option>
+ <Option name="PruneMethod" modified="No">nopruning</Option>
+ <Option name="PruneStrength" modified="No">0.000000e+00</Option>
+ <Option name="PruningValFraction" modified="No">5.000000e-01</Option>
+ <Option name="nEventsMin" modified="No">0</Option>
+ <Option name="UseBaggedGrad" modified="No">False</Option>
+ <Option name="GradBaggingFraction" modified="Yes">2.589974e-01</Option>
+ <Option name="UseNTrainEvents" modified="No">0</Option>
+ <Option name="NNodesMax" modified="No">0</Option>
+ </Options>
+ <Variables NVar="11">
+ <Variable VarIndex="0" Expression="avg_dr_tagged_jets" Label="avg_dr_tagged_jets" Title="avg_dr_tagged_jets" Unit="" Internal="avg_dr_tagged_jets" Type="F" Min="4.83946651e-01" Max="4.11018896e+00"/>
+ <Variable VarIndex="1" Expression="fifth_highest_CSV" Label="fifth_highest_CSV" Title="fifth_highest_CSV" Unit="" Internal="fifth_highest_CSV" Type="F" Min="-1.00000001e-01" Max="8.89339387e-01"/>
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diff --git a/data/membdtweights_v1/weights_64.xml b/data/membdtweights_v1/weights_64.xml
new file mode 100644
index 0000000..8800f73
--- /dev/null
+++ b/data/membdtweights_v1/weights_64.xml
@@ -0,0 +1,8899 @@
+<?xml version="1.0"?>
+<MethodSetup Method="BDT::BDTG">
+ <GeneralInfo>
+ <Info name="TMVA Release" value="4.2.0 [262656]"/>
+ <Info name="ROOT Release" value="6.02/05 [393733]"/>
+ <Info name="Creator" value="kelmorab"/>
+ <Info name="Date" value="Fri Jan 15 10:39:54 2016"/>
+ <Info name="Host" value="Linux cmsbuild12.cern.ch 2.6.32-573.7.1.el6.x86_64 #1 SMP Wed Sep 23 10:12:03 CEST 2015 x86_64 x86_64 x86_64 GNU/Linux"/>
+ <Info name="Dir" value="/nfs/dust/cms/user/kelmorab/MEMstudies/3makeHistosAndCards"/>
+ <Info name="Training events" value="17687"/>
+ <Info name="TrainingTime" value="7.53768396e+00"/>
+ <Info name="AnalysisType" value="Classification"/>
+ </GeneralInfo>
+ <Options>
+ <Option name="V" modified="Yes">False</Option>
+ <Option name="VerbosityLevel" modified="No">Default</Option>
+ <Option name="VarTransform" modified="No">None</Option>
+ <Option name="H" modified="Yes">False</Option>
+ <Option name="CreateMVAPdfs" modified="No">False</Option>
+ <Option name="IgnoreNegWeightsInTraining" modified="No">False</Option>
+ <Option name="NTrees" modified="Yes">756</Option>
+ <Option name="MaxDepth" modified="Yes">2</Option>
+ <Option name="MinNodeSize" modified="No">5%</Option>
+ <Option name="nCuts" modified="Yes">48</Option>
+ <Option name="BoostType" modified="Yes">Grad</Option>
+ <Option name="AdaBoostR2Loss" modified="No">quadratic</Option>
+ <Option name="UseBaggedBoost" modified="Yes">True</Option>
+ <Option name="Shrinkage" modified="Yes">1.582747e-02</Option>
+ <Option name="AdaBoostBeta" modified="No">5.000000e-01</Option>
+ <Option name="UseRandomisedTrees" modified="No">False</Option>
+ <Option name="UseNvars" modified="No">3</Option>
+ <Option name="UsePoissonNvars" modified="No">True</Option>
+ <Option name="BaggedSampleFraction" modified="No">1.758718e-01</Option>
+ <Option name="UseYesNoLeaf" modified="No">True</Option>
+ <Option name="NegWeightTreatment" modified="Yes">ignorenegweightsintraining</Option>
+ <Option name="Css" modified="No">1.000000e+00</Option>
+ <Option name="Cts_sb" modified="No">1.000000e+00</Option>
+ <Option name="Ctb_ss" modified="No">1.000000e+00</Option>
+ <Option name="Cbb" modified="No">1.000000e+00</Option>
+ <Option name="NodePurityLimit" modified="No">5.000000e-01</Option>
+ <Option name="SeparationType" modified="No">giniindex</Option>
+ <Option name="DoBoostMonitor" modified="No">False</Option>
+ <Option name="UseFisherCuts" modified="No">False</Option>
+ <Option name="MinLinCorrForFisher" modified="No">8.000000e-01</Option>
+ <Option name="UseExclusiveVars" modified="No">False</Option>
+ <Option name="DoPreselection" modified="No">False</Option>
+ <Option name="SigToBkgFraction" modified="No">1.000000e+00</Option>
+ <Option name="PruneMethod" modified="No">nopruning</Option>
+ <Option name="PruneStrength" modified="No">0.000000e+00</Option>
+ <Option name="PruningValFraction" modified="No">5.000000e-01</Option>
+ <Option name="nEventsMin" modified="No">0</Option>
+ <Option name="UseBaggedGrad" modified="No">False</Option>
+ <Option name="GradBaggingFraction" modified="Yes">1.758718e-01</Option>
+ <Option name="UseNTrainEvents" modified="No">0</Option>
+ <Option name="NNodesMax" modified="No">0</Option>
+ </Options>
+ <Variables NVar="11">
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diff --git a/interface/MemBDTClassifier.h b/interface/MemBDTClassifier.h
new file mode 100644
index 0000000..8d6a3e4
--- /dev/null
+++ b/interface/MemBDTClassifier.h
@@ -0,0 +1,51 @@
+#ifndef TTH_MEMBDTCLASSIFIER_H
+#define TTH_MEMBDTCLASSIFIER_H
+#include <vector>
+#include <map>
+#include <math.h>
+#include "TLorentzVector.h"
+#include "TMVA/Reader.h"
+#include "TTH/CommonClassifier/interface/CommonBDTvars.h"
+
+
+// class to evaluate lepton plus jets BDT set
+class MEMBDTClassifier{
+
+public:
+
+ MEMBDTClassifier(std::string weightpath="");
+ ~MEMBDTClassifier();
+
+ // Call this method to return the BDT output, provide all necessary inputs. Jet CSV should be sorted the same way as jet p4.
+ // We could also write a class to contain the jet CSV and p4 information
+ double GetBDTOutput(const std::vector<TLorentzVector>& selectedLeptonP4,
+ const std::vector<TLorentzVector>& selectedJetP4,
+ const std::vector<double>& selectedJetCSV,
+ const std::vector<TLorentzVector>& looseSelectedJetP4,
+ const std::vector<double>& looseSelectedJetCSV,
+ const TLorentzVector& metP4,
+ const double MEM_p);
+
+ // returns the category of the last evaluated Event
+ std::string GetCategoryOfLastEvaluation() const;
+
+ // return the variable names and their values for the last evaluated event
+ std::map<std::string,float> GetVariablesOfLastEvaluation() const;
+
+
+private:
+ void SetCategory(const std::vector<TLorentzVector>& selectedLeptonP4,
+ const std::vector<TLorentzVector>& selectedJetP4,
+ const std::vector<double>& selectedJetCSV);
+ void ResetVariableMap();
+
+ const double btagMcut;
+
+ std::string category;
+ std::map<std::string,TMVA::Reader*> readerMap;
+ std::map<std::string,float> variableMap;
+ CommonBDTvars bdtvar;
+
+};
+
+#endif
diff --git a/src/MemBDTClassifier.cpp b/src/MemBDTClassifier.cpp
new file mode 100644
index 0000000..ec37cf5
--- /dev/null
+++ b/src/MemBDTClassifier.cpp
@@ -0,0 +1,449 @@
+#include "TTH/CommonClassifier/interface/MemBDTClassifier.h"
+
+using namespace std;
+
+MEMBDTClassifier::MEMBDTClassifier (string weightpath):btagMcut(0.89){
+ if(weightpath=="") weightpath=string(getenv("CMSSW_BASE"))+"/src/TTH/CommonClassifier/data/membdtweights_v1/";
+
+ // ==================================================
+ //init all variables potentially used in BDT set
+ variableMap["all_sum_pt_with_met"]=-999.;
+ variableMap["aplanarity"]=-999.;
+ variableMap["avg_btag_disc_btags"]=-999.;
+ variableMap["avg_dr_tagged_jets"]=-999.;
+ variableMap["best_higgs_mass"]=-999.;
+ variableMap["closest_tagged_dijet_mass"]=-999.;
+ variableMap["dEta_fn"]=-999.;
+ variableMap["dev_from_avg_disc_btags"]=-999.;
+ variableMap["dr_between_lep_and_closest_jet"]=-999.;
+ variableMap["fifth_highest_CSV"]=-999.;
+ variableMap["first_jet_pt"]=-999.;
+ variableMap["fourth_highest_btag"]=-999.;
+ variableMap["fourth_jet_pt"]=-999.;
+ variableMap["h0"]=-999.;
+ variableMap["h1"]=-999.;
+ variableMap["h2"]=-999.;
+ variableMap["h3"]=-999.;
+ variableMap["HT"]=-999.;
+ variableMap["invariant_mass_of_everything"]=-999.;
+ variableMap["lowest_btag"]=-999.;
+ variableMap["M3"]=-999.;
+ variableMap["maxeta_jet_jet"]=-999.;
+ variableMap["maxeta_jet_tag"]=-999.;
+ variableMap["maxeta_tag_tag"]=-999.;
+ variableMap["min_dr_tagged_jets"]=-999.;
+ variableMap["MET"]=-999.;
+ variableMap["MHT"]=-999.;
+ variableMap["Mlb"]=-999.;
+ variableMap["pt_all_jets_over_E_all_jets"]=-999.;
+ variableMap["second_highest_btag"]=-999.;
+ variableMap["second_jet_pt"]=-999.;
+ variableMap["sphericity"]=-999.;
+ variableMap["tagged_dijet_mass_closest_to_125"]=-999.;
+ variableMap["third_highest_btag"]=-999.;
+ variableMap["third_jet_pt"]=-999.;
+ variableMap["Evt_CSV_Average"]=-999.;
+ variableMap["Evt_Deta_JetsAverage"]=-999.;
+ variableMap["MEM_p"]=-999.;
+ // ==================================================
+ ///init readers for all categories
+ readerMap["6j4t"]=new TMVA::Reader("Silent");
+ readerMap["5j4t"]=new TMVA::Reader("Silent");
+ readerMap["4j4t"]=new TMVA::Reader("Silent");
+ readerMap["6j3t"]=new TMVA::Reader("Silent");
+ readerMap["5j3t"]=new TMVA::Reader("Silent");
+ readerMap["4j3t"]=new TMVA::Reader("Silent");
+ readerMap["6j2t"]=new TMVA::Reader("Silent");
+
+ // ==================================================
+ //add variables to corresponding readers
+ // 62
+ readerMap["6j2t"]->AddVariable("h1", &variableMap["h1"]);
+ readerMap["6j2t"]->AddVariable("avg_dr_tagged_jets", &variableMap["avg_dr_tagged_jets"]);
+ readerMap["6j2t"]->AddVariable("sphericity", &variableMap["sphericity"]);
+ readerMap["6j2t"]->AddVariable("third_highest_btag", &variableMap["third_highest_btag"]);
+ readerMap["6j2t"]->AddVariable("h3", &variableMap["h3"]);
+ readerMap["6j2t"]->AddVariable("HT", &variableMap["HT"]);
+ readerMap["6j2t"]->AddVariable("Mlb", &variableMap["Mlb"]);
+ readerMap["6j2t"]->AddVariable("fifth_highest_CSV", &variableMap["fifth_highest_CSV"]);
+ readerMap["6j2t"]->AddVariable("fourth_highest_btag", &variableMap["fourth_highest_btag"]);
+
+ // 43
+ readerMap["4j3t"]->AddVariable("h1", &variableMap["h1"]);
+ readerMap["4j3t"]->AddVariable("avg_dr_tagged_jets", &variableMap["avg_dr_tagged_jets"]);
+ readerMap["4j3t"]->AddVariable("sphericity", &variableMap["sphericity"]);
+ readerMap["4j3t"]->AddVariable("third_highest_btag", &variableMap["third_highest_btag"]);
+ readerMap["4j3t"]->AddVariable("HT", &variableMap["HT"]);
+ readerMap["4j3t"]->AddVariable("dev_from_avg_disc_btags", &variableMap["dev_from_avg_disc_btags"]);
+ readerMap["4j3t"]->AddVariable("M3", &variableMap["M3"]);
+ readerMap["4j3t"]->AddVariable("min_dr_tagged_jets", &variableMap["min_dr_tagged_jets"]);
+ readerMap["4j3t"]->AddVariable("Evt_CSV_Average", &variableMap["Evt_CSV_Average"]);
+
+ // 53
+ readerMap["5j3t"]->AddVariable("h1", &variableMap["h1"]);
+ readerMap["5j3t"]->AddVariable("avg_dr_tagged_jets", &variableMap["avg_dr_tagged_jets"]);
+ readerMap["5j3t"]->AddVariable("sphericity", &variableMap["sphericity"]);
+ readerMap["5j3t"]->AddVariable("third_highest_btag", &variableMap["third_highest_btag"]);
+ readerMap["5j3t"]->AddVariable("h3", &variableMap["h3"]);
+ readerMap["5j3t"]->AddVariable("HT", &variableMap["HT"]);
+ readerMap["5j3t"]->AddVariable("dev_from_avg_disc_btags", &variableMap["dev_from_avg_disc_btags"]);
+ readerMap["5j3t"]->AddVariable("fourth_highest_btag", &variableMap["fourth_highest_btag"]);
+
+ // 63
+ readerMap["6j3t"]->AddVariable("avg_dr_tagged_jets", &variableMap["avg_dr_tagged_jets"]);
+ readerMap["6j3t"]->AddVariable("fifth_highest_CSV", &variableMap["fifth_highest_CSV"]);
+ readerMap["6j3t"]->AddVariable("fourth_highest_btag", &variableMap["fourth_highest_btag"]);
+ readerMap["6j3t"]->AddVariable("avg_btag_disc_btags", &variableMap["avg_btag_disc_btags"]);
+ readerMap["6j3t"]->AddVariable("all_sum_pt_with_met", &variableMap["all_sum_pt_with_met"]);
+ readerMap["6j3t"]->AddVariable("tagged_dijet_mass_closest_to_125", &variableMap["tagged_dijet_mass_closest_to_125"]);
+ readerMap["6j3t"]->AddVariable("Evt_Deta_JetsAverage", &variableMap["Evt_Deta_JetsAverage"]);
+ readerMap["6j3t"]->AddVariable("min_dr_tagged_jets", &variableMap["min_dr_tagged_jets"]);
+ readerMap["6j3t"]->AddVariable("dEta_fn", &variableMap["dEta_fn"]);
+ readerMap["6j3t"]->AddVariable("aplanarity", &variableMap["aplanarity"]);
+ readerMap["6j3t"]->AddVariable("h1", &variableMap["h1"]);
+
+ // 44
+ readerMap["4j4t"]->AddVariable("MEM_p", &variableMap["MEM_p"]);
+ readerMap["4j4t"]->AddVariable("avg_btag_disc_btags", &variableMap["avg_btag_disc_btags"]);
+ readerMap["4j4t"]->AddVariable("Evt_Deta_JetsAverage", &variableMap["Evt_Deta_JetsAverage"]);
+ readerMap["4j4t"]->AddVariable("M3", &variableMap["M3"]);
+ readerMap["4j4t"]->AddVariable("fourth_highest_btag", &variableMap["fourth_highest_btag"]);
+ readerMap["4j4t"]->AddVariable("maxeta_tag_tag", &variableMap["maxeta_tag_tag"]);
+ readerMap["4j4t"]->AddVariable("all_sum_pt_with_met", &variableMap["all_sum_pt_with_met"]);
+ // 54
+ readerMap["5j4t"]->AddVariable("avg_btag_disc_btags", &variableMap["avg_btag_disc_btags"]);
+ readerMap["5j4t"]->AddVariable("h3", &variableMap["h3"]);
+ readerMap["5j4t"]->AddVariable("all_sum_pt_with_met", &variableMap["all_sum_pt_with_met"]);
+ readerMap["5j4t"]->AddVariable("Evt_Deta_JetsAverage", &variableMap["Evt_Deta_JetsAverage"]);
+ readerMap["5j4t"]->AddVariable("MEM_p", &variableMap["MEM_p"]);
+ readerMap["5j4t"]->AddVariable("Evt_CSV_Average", &variableMap["Evt_CSV_Average"]);
+ readerMap["5j4t"]->AddVariable("fourth_jet_pt", &variableMap["fourth_jet_pt"]);
+ readerMap["5j4t"]->AddVariable("closest_tagged_dijet_mass", &variableMap["closest_tagged_dijet_mass"]);
+ readerMap["5j4t"]->AddVariable("fourth_highest_btag", &variableMap["fourth_highest_btag"]);
+ readerMap["5j4t"]->AddVariable("fifth_highest_CSV", &variableMap["fifth_highest_CSV"]);
+ readerMap["5j4t"]->AddVariable("third_jet_pt", &variableMap["third_jet_pt"]);
+
+ // 64
+ readerMap["6j4t"]->AddVariable("MEM_p", &variableMap["MEM_p"]);
+ readerMap["6j4t"]->AddVariable("Evt_Deta_JetsAverage", &variableMap["Evt_Deta_JetsAverage"]);
+ readerMap["6j4t"]->AddVariable("avg_dr_tagged_jets", &variableMap["avg_dr_tagged_jets"]);
+ readerMap["6j4t"]->AddVariable("closest_tagged_dijet_mass", &variableMap["closest_tagged_dijet_mass"]);
+ readerMap["6j4t"]->AddVariable("best_higgs_mass", &variableMap["best_higgs_mass"]);
+ readerMap["6j4t"]->AddVariable("fifth_highest_CSV", &variableMap["fifth_highest_CSV"]);
+ readerMap["6j4t"]->AddVariable("fourth_highest_btag", &variableMap["fourth_highest_btag"]);
+ readerMap["6j4t"]->AddVariable("tagged_dijet_mass_closest_to_125", &variableMap["tagged_dijet_mass_closest_to_125"]);
+ readerMap["6j4t"]->AddVariable("pt_all_jets_over_E_all_jets", &variableMap["pt_all_jets_over_E_all_jets"]);
+ readerMap["6j4t"]->AddVariable("fourth_jet_pt", &variableMap["fourth_jet_pt"]);
+ readerMap["6j4t"]->AddVariable("third_highest_btag", &variableMap["third_highest_btag"]);
+ // ==================================================
+ //book MVAs from weights
+ readerMap["6j4t"]->BookMVA("BDT",weightpath+"/weights_64.xml");
+ readerMap["5j4t"]->BookMVA("BDT",weightpath+"/weights_54.xml");
+ readerMap["4j4t"]->BookMVA("BDT",weightpath+"/weights_44.xml");
+ readerMap["6j3t"]->BookMVA("BDT",weightpath+"/weights_63.xml");
+ readerMap["5j3t"]->BookMVA("BDT",weightpath+"/weights_53.xml");
+ readerMap["4j3t"]->BookMVA("BDT",weightpath+"/weights_43.xml");
+ readerMap["6j2t"]->BookMVA("BDT",weightpath+"/weights_62.xml");
+
+}
+MEMBDTClassifier::~MEMBDTClassifier(){
+}
+
+void MEMBDTClassifier::ResetVariableMap(){
+ for(auto it = variableMap.begin(); it != variableMap.end(); it++){
+ it->second=-999.;
+ }
+}
+
+void MEMBDTClassifier::SetCategory(const std::vector<TLorentzVector>& selectedLeptonP4,
+ const std::vector<TLorentzVector>& selectedJetP4,
+ const std::vector<double>& selectedJetCSV){
+ int njets=selectedJetP4.size();
+ int ntagged=0;
+ for(uint i=0; i<selectedJetCSV.size(); i++){
+ if(selectedJetCSV[i]>btagMcut) ntagged++;
+ }
+ if(selectedLeptonP4.size()!=1||njets<4||(njets<6&&ntagged<3)){
+ category="none";
+ return;
+ }
+ else if(ntagged>=4&&njets>=6){
+ category = "6j4t";
+ }
+ else if(ntagged>=4&&njets==5){
+ category = "5j4t";
+ }
+ else if(ntagged>=4&&njets==4){
+ category = "4j4t";
+ }
+ else if(ntagged==3&&njets>=6){
+ category = "6j3t";
+ }
+ else if(ntagged==3&&njets==5){
+ category = "5j3t";
+ }
+ else if(ntagged==3&&njets==4){
+ category = "4j3t";
+ }
+ else if(ntagged==2&&njets>=6){
+ category = "6j2t";
+ }
+ else{
+ category = "none";
+ }
+
+}
+
+double MEMBDTClassifier::GetBDTOutput(const std::vector<TLorentzVector>& selectedLeptonP4,
+ const std::vector<TLorentzVector>& selectedJetP4,
+ const std::vector<double>& selectedJetCSV,
+ const std::vector<TLorentzVector>& looseSelectedJetP4,
+ const std::vector<double>& looseSelectedJetCSV,
+ const TLorentzVector& metP4,
+ const double MEM_p){
+
+ // Reset all map entries to -999 so that noting is left over from the last event
+ ResetVariableMap();
+
+ // find out category
+ SetCategory(selectedLeptonP4, selectedJetP4, selectedJetCSV);
+ if(category=="none"){
+ return -2;
+ }
+ // ==================================================
+ // construct object vectors etc
+
+ std::vector<double> selectedJetCSV_fixed;
+ for(uint i=0; i<selectedJetCSV.size(); i++){
+ double tag=selectedJetCSV[i];
+ if (std::isnan(tag)){
+ tag=-.1;
+ }
+ else if (tag<0){
+ tag=-.1;
+ }
+ else if(tag>1){
+ tag=1.;
+ }
+ selectedJetCSV_fixed.push_back(tag);
+ }
+
+ std::vector<TLorentzVector> selectedTaggedJetP4;
+ for(uint i=0; i<selectedJetP4.size();i++){
+ if(selectedJetCSV_fixed[i]>btagMcut){
+ selectedTaggedJetP4.push_back(selectedJetP4[i]);
+ }
+ }
+
+ vector< vector<double> > jets_vvdouble;
+ for(auto jet=selectedJetP4.begin();jet!=selectedJetP4.end(); jet++){
+ vector<double> pxpypzE;
+ pxpypzE.push_back(jet->Px());
+ pxpypzE.push_back(jet->Py());
+ pxpypzE.push_back(jet->Pz());
+ pxpypzE.push_back(jet->E());
+ jets_vvdouble.push_back(pxpypzE);
+ }
+
+ vector<double> sortedCSV=selectedJetCSV_fixed;
+ std::sort(sortedCSV.begin(),sortedCSV.end(),std::greater<double>());
+
+ // ==================================================
+ // calculate variables
+ // aplanarity and sphericity
+ double aplanarity,sphericity;
+ bdtvar.getSp(selectedLeptonP4[0],metP4,selectedJetP4,aplanarity,sphericity);
+
+ // Fox Wolfram
+ double h0,h1,h2,h3,h4;
+ bdtvar.getFox(selectedJetP4,h0,h1,h2,h3,h4);
+
+ // best higgs mass 1
+ double minChi,dRbb;
+ TLorentzVector bjet1,bjet2;
+ double bestHiggsMass = bdtvar.getBestHiggsMass(selectedLeptonP4[0],metP4,selectedJetP4,selectedJetCSV_fixed,minChi,dRbb,bjet1,bjet2, looseSelectedJetP4,looseSelectedJetCSV);
+
+ // study top bb system
+ TLorentzVector dummy_metv;
+ double minChiStudy, chi2lepW, chi2leptop, chi2hadW, chi2hadtop, mass_lepW, mass_leptop, mass_hadW, mass_hadtop, dRbbStudy, testquant1, testquant2, testquant3, testquant4, testquant5, testquant6, testquant7;
+ TLorentzVector b1,b2;
+ bdtvar.study_tops_bb_syst (metP4.Pt(), metP4.Phi(), dummy_metv, selectedLeptonP4[0], jets_vvdouble, selectedJetCSV_fixed, minChiStudy, chi2lepW, chi2leptop, chi2hadW, chi2hadtop, mass_lepW, mass_leptop, mass_hadW, mass_hadtop, dRbbStudy, testquant1, testquant2, testquant3, testquant4, testquant5, testquant6, testquant7, b1, b2);
+ double dEta_fn=testquant6;
+ // ptE ratio
+ double pt_E_ratio = bdtvar.pt_E_ratio_jets(jets_vvdouble);
+
+ // etamax
+ double jet_jet_etamax = bdtvar.get_jet_jet_etamax (jets_vvdouble);
+ double jet_tag_etamax = bdtvar.get_jet_tag_etamax (jets_vvdouble,selectedJetCSV_fixed);
+ double tag_tag_etamax = bdtvar.get_tag_tag_etamax (jets_vvdouble,selectedJetCSV_fixed);
+
+ // jet variables
+ double sum_pt_jets=0;
+ double dr_between_lep_and_closest_jet=99;
+ double mht_px=0;
+ double mht_py=0;
+ TLorentzVector p4_of_everything=selectedLeptonP4[0];
+ p4_of_everything+=metP4;
+ for(auto jetvec = selectedJetP4.begin() ; jetvec != selectedJetP4.end(); ++jetvec){
+ dr_between_lep_and_closest_jet=fmin(dr_between_lep_and_closest_jet,selectedLeptonP4[0].DeltaR(*jetvec));
+ sum_pt_jets += jetvec->Pt();
+ mht_px += jetvec->Px();
+ mht_py += jetvec->Py();
+ p4_of_everything += *jetvec;
+ }
+ mht_px+=selectedLeptonP4[0].Px();
+ mht_py+=selectedLeptonP4[0].Py();
+ double mass_of_everything=p4_of_everything.M();
+ double sum_pt_wo_met=sum_pt_jets+selectedLeptonP4[0].Pt();
+ double sum_pt_with_met=metP4.Pt()+sum_pt_wo_met;
+ double MHT=sqrt( mht_px*mht_px + mht_py*mht_py );
+
+ double Mlb=0; // mass of lepton and closest bt-tagged jet
+ double minDr_for_Mlb=999.;
+ for(auto tagged_jet=selectedTaggedJetP4.begin();tagged_jet!=selectedTaggedJetP4.end();tagged_jet++){
+ double drLep=selectedLeptonP4[0].DeltaR(*tagged_jet);
+ if(drLep<minDr_for_Mlb){
+ minDr_for_Mlb=drLep;
+ Mlb=(selectedLeptonP4[0]+*tagged_jet).M();
+ }
+ }
+ double closest_tagged_dijet_mass=-99;
+ double minDrTagged=99;
+ double sumDrTagged=0;
+ int npairs=0;
+ double tagged_dijet_mass_closest_to_125=-99;
+ for(auto tagged_jet1=selectedTaggedJetP4.begin();tagged_jet1!=selectedTaggedJetP4.end();tagged_jet1++){
+ for(auto tagged_jet2=tagged_jet1+1;tagged_jet2!=selectedTaggedJetP4.end();tagged_jet2++){
+ double dr=tagged_jet1->DeltaR(*tagged_jet2);
+ double m = (*tagged_jet1+*tagged_jet2).M();
+ sumDrTagged+=dr;
+ npairs++;
+ if(dr<minDrTagged){
+ minDrTagged=dr;
+ closest_tagged_dijet_mass=m;
+ }
+ if(fabs(tagged_dijet_mass_closest_to_125-125)>fabs(m-125)){
+ tagged_dijet_mass_closest_to_125=m;
+ }
+
+ }
+ }
+ double avgDrTagged=-1;
+ if(npairs!=0) avgDrTagged=sumDrTagged/npairs;
+ // M3
+ double m3 = -1.;
+ double maxpt_for_m3=-1;
+ for(auto itJetVec1 = selectedJetP4.begin() ; itJetVec1 != selectedJetP4.end(); ++itJetVec1){
+ for(auto itJetVec2 = itJetVec1+1 ; itJetVec2 != selectedJetP4.end(); ++itJetVec2){
+ for(auto itJetVec3 = itJetVec2+1 ; itJetVec3 != selectedJetP4.end(); ++itJetVec3){
+
+ TLorentzVector m3vec = *itJetVec1 + *itJetVec2 + *itJetVec3;
+
+ if(m3vec.Pt() > maxpt_for_m3){
+ maxpt_for_m3 = m3vec.Pt();
+ m3 = m3vec.M();
+ }
+ }
+ }
+ }
+ double detaJetsAverage = 0;
+ int nPairsJets = 0;
+ for(auto itJetVec1 = selectedJetP4.begin() ; itJetVec1 != selectedJetP4.end(); ++itJetVec1){
+ for(auto itJetVec2 = itJetVec1+1 ; itJetVec2 != selectedJetP4.end(); ++itJetVec2){
+ detaJetsAverage += fabs(itJetVec1->Eta()-itJetVec2->Eta());
+ nPairsJets++;
+ }
+ }
+ if(nPairsJets > 0){
+ detaJetsAverage /= (double) nPairsJets;
+ }
+
+ // btag variables
+ double averageCSV_tagged = 0;
+ double averageCSV_all = 0;
+ double lowest_btag=99;
+ int njets=selectedJetP4.size();
+ int ntags=0;
+ for(auto itCSV = selectedJetCSV_fixed.begin() ; itCSV != selectedJetCSV_fixed.end(); ++itCSV){
+ averageCSV_all += fmax(*itCSV,0);
+ if(*itCSV<btagMcut) continue;
+ lowest_btag=fmin(*itCSV,lowest_btag);
+ averageCSV_tagged += fmax(*itCSV,0);
+ ntags++;
+ }
+ if(ntags>0)
+ averageCSV_tagged /= ntags;
+ else
+ averageCSV_tagged=0;
+ if(selectedJetCSV_fixed.size()>0)
+ averageCSV_all /= selectedJetCSV_fixed.size();
+ else
+ averageCSV_all=0;
+
+ if(lowest_btag>90) lowest_btag=-1;
+
+ double csvDev = 0;
+ for(auto itCSV = selectedJetCSV_fixed.begin() ; itCSV != selectedJetCSV_fixed.end(); ++itCSV){
+ if(*itCSV<btagMcut) continue;
+ csvDev += pow(*itCSV - averageCSV_tagged,2);
+ }
+ if(ntags>0)
+ csvDev /= ntags;
+ else
+ csvDev=-1.;
+
+
+ // ==================================================
+ // Fill variable map
+ variableMap["all_sum_pt_with_met"]=sum_pt_with_met;
+ variableMap["aplanarity"]=aplanarity;
+ variableMap["avg_btag_disc_btags"]=averageCSV_tagged;
+ variableMap["avg_dr_tagged_jets"]=avgDrTagged;
+ variableMap["best_higgs_mass"]=bestHiggsMass;
+ variableMap["closest_tagged_dijet_mass"]=closest_tagged_dijet_mass;
+ variableMap["dEta_fn"]=dEta_fn;
+ variableMap["dev_from_avg_disc_btags"]=csvDev;
+ variableMap["dr_between_lep_and_closest_jet"]=dr_between_lep_and_closest_jet;
+ variableMap["fifth_highest_CSV"]=njets>4?sortedCSV[4]:-1.;
+ variableMap["first_jet_pt"]=selectedJetP4.size()>0?selectedJetP4[0].Pt():-99;
+ variableMap["fourth_highest_btag"]=njets>3?sortedCSV[3]:-1.;
+ variableMap["fourth_jet_pt"]=selectedJetP4.size()>3?selectedJetP4[3].Pt():-99;
+ variableMap["h0"]=h0;
+ variableMap["h1"]=h1;
+ variableMap["h2"]=h2;
+ variableMap["h3"]=h3;
+ variableMap["HT"]=sum_pt_jets;
+ variableMap["invariant_mass_of_everything"]=mass_of_everything;
+ variableMap["lowest_btag"]=lowest_btag;
+ variableMap["M3"]=m3;
+ variableMap["maxeta_jet_jet"]=jet_jet_etamax;
+ variableMap["maxeta_jet_tag"]=jet_tag_etamax;
+ variableMap["maxeta_tag_tag"]=tag_tag_etamax;
+ variableMap["min_dr_tagged_jets"]=minDrTagged;
+ variableMap["MET"]=metP4.Pt();
+ variableMap["MHT"]=MHT;
+ variableMap["Mlb"]=Mlb;
+ variableMap["pt_all_jets_over_E_all_jets"]=pt_E_ratio;
+ variableMap["second_highest_btag"]=njets>1?sortedCSV[1]:-1.;
+ variableMap["second_jet_pt"]=selectedJetP4.size()>1?selectedJetP4[1].Pt():-99;
+ variableMap["sphericity"]=sphericity;
+ variableMap["tagged_dijet_mass_closest_to_125"]=tagged_dijet_mass_closest_to_125;
+ variableMap["third_highest_btag"]=njets>2?sortedCSV[2]:-1.;
+ variableMap["third_jet_pt"]=selectedJetP4.size()>2?selectedJetP4[2].Pt():-99;
+ variableMap["Evt_CSV_Average"]=averageCSV_all;
+ variableMap["Evt_Deta_JetsAverage"]=detaJetsAverage;
+ variableMap["MEM_p"]=MEM_p;
+
+
+ // ==================================================
+ // evaluate BDT of current category
+ return readerMap[category]->EvaluateMVA("BDT");
+}
+
+std::string MEMBDTClassifier::GetCategoryOfLastEvaluation() const{
+ return category;
+}
+
+std::map<std::string,float> MEMBDTClassifier::GetVariablesOfLastEvaluation() const{
+ return variableMap;
+}
diff --git a/src/classes.h b/src/classes.h
index 201964f..4b9e404 100644
--- a/src/classes.h
+++ b/src/classes.h
@@ -1,6 +1,8 @@
#include "TTH/CommonClassifier/interface/MEMClassifier.h"
#include "TTH/CommonClassifier/interface/BDTClassifier.h"
#include "TTH/CommonClassifier/interface/BlrBDTClassifier.h"
+#include "TTH/CommonClassifier/interface/MemBDTClassifier.h"
+
namespace {
namespace {
std::vector<TLorentzVector> _v1;
diff --git a/src/classes_def.xml b/src/classes_def.xml
index 2da52a0..8fb5216 100644
--- a/src/classes_def.xml
+++ b/src/classes_def.xml
@@ -2,6 +2,7 @@
<class name="MEMClassifier"/>
<class name="BDTClassifier"/>
<class name="BlrBDTClassifier"/>
-
+ <class name="MEMBDTClassifier"/>
+
<class name="MEMResult"/>
</lcgdict>
--
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