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#ifndef baseClass_h
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#define baseClass_h
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#include "rootNtupleClass.h"
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#include <iostream>
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#include <sstream>
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#include <string>
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#include <vector>
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#include <map>
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#include <fstream>
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#include <stdio.h>
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#include <iomanip>
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#include <TH1F.h>
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#include <math.h>
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#include <stdlib.h>
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#include "TLorentzVector.h"
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#define STDOUT(STRING) { \
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std::cout << __FILE__ <<" - Line "<<__LINE__<<" - "<<__FUNCTION__<<": "<< STRING <<std::endl; \
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}
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using namespace std;
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struct cut {
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string variableName;
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double minValue1;
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double maxValue1;
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double minValue2;
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double maxValue2;
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int level_int;
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string level_str;
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int histoNBins;
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double histoMin;
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double histoMax;
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// Not filled from file
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int id;
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TH1F histo1;
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TH1F histo2;
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TH1F histo3;
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TH1F histo4;
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TH1F histo5;
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// Filled event by event
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bool filled;
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double value;
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bool passed;
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int nEvtInput;
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int nEvtPassed;
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};
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struct preCut {
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string variableName;
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double value1;
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double value2;
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double value3;
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double value4;
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int level_int;
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string level_str;
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};
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// Create structure to hold
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class Optimize {
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public:
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Optimize(){count=0; variableName=""; minvalue=0; maxvalue=0; testgreater=false; level_int=-10;};
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Optimize(int x0, string x1, double x2, double x3, bool x4, int x5)
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{
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count=x0;
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variableName=x1;
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minvalue=x2;
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maxvalue=x3;
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if (minvalue>maxvalue)
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{
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maxvalue=x2;
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minvalue=x3;
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}
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increment=(maxvalue-minvalue)/9.;
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if (increment<=0)
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increment=1;
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testgreater=x4;
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level_int=x5;
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value=-999999; // dummy start value
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};
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~Optimize(){};
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int count; // store number for ordering of optimization cuts
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string variableName; // store name of variable
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double minvalue; // minimum threshold value to test
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double maxvalue; // maximum threshold to test
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double increment; // max-min, divided into 10 parts
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bool testgreater; // tests whether value should be greater or less than threshold
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int level_int; // cut level -- not used?
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double value; // value to check against threshold
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bool Compare(int counter)
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{
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// compare value to threshold # <counter>
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// if testing that value is greater than some threshold, start with lowest threshold first
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bool passed=false;
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if (testgreater)
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{
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double thresh=minvalue+increment*counter; // convert counter # to physical threshold
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value > thresh ? passed=true: passed=false;
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}
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// if testing that value is less than threshold, start with largest threshold first. This keep the number of \events "monotonically decreasing" over a series of 10 cuts.
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else
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{
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double thresh=maxvalue-increment*counter;
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value < thresh ? passed=true : passed = false;
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}
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return passed;
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}; // comparison function
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}; // class Optimize
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class myEvent {
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public :
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vector<TLorentzVector> fourvector;
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vector<double> momentum;
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vector<bool> isolation;
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vector<int> charge;
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vector<double> deltaPhi;
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vector<double> deltaEta;
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vector<double> oneOverEminusOverP;
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vector<double> transverseMass;
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vector<double> ethIso;
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vector<double> trkIso;
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vector<double> ecalIso;
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vector<double> hcalIso;
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vector<double> HoverE;
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vector<double> sigmaIetaIeta;
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vector<double> numberOfMissingInnerHits;
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vector<double> deltaPhiMet;
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double missinget;
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bool WorkingPointID(myEvent, vector<double>);
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bool WorkingPointNminus1(myEvent, vector<double>, char *);
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}; // class myEvent
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class baseClass : public rootNtupleClass, public myEvent {
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public :
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map<string, bool> combCutName_passed_;
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// -------------------------------------
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double multiply(double, double);
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bool triggerBitSelection(int*, int*, int*);
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bool goodPrimaryVertexSelection(int, double);
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/* bool noBeamScrapingSelection(int*, int*); */
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bool ethID(int, double, double, double, double, double);
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/* bool WorkingPointNminus1(myevent, vector<double>, char *); */
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bool ethNminus1(int, double, double, double, double, double, char *, bool);
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bool isolation(double, double);
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double deltaPhi(double, double);
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double transverseMass(double, double, double);
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// -------------------------------------
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void resetCuts();
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void fillVariableWithValue(const std::string&, const double&);
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void evaluateCuts();
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bool passedCut(const string& s);
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bool passedAllPreviousCuts(const string& s);
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bool passedAllOtherCuts(const string& s);
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bool passedAllOtherSameAndLowerLevelCuts(const string& s);
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bool variableIsFilled(const string& s);
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double getVariableValue(const string& s);
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double getPreCutValue1(const string& s);
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double getPreCutValue2(const string& s);
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double getPreCutValue3(const string& s);
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double getPreCutValue4(const string& s);
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double getCutMinValue1(const string& s);
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double getCutMaxValue1(const string& s);
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double getCutMinValue2(const string& s);
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double getCutMaxValue2(const string& s);
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const TH1F& getHisto_noCuts_or_skim(const string& s);
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const TH1F& getHisto_allPreviousCuts(const string& s);
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const TH1F& getHisto_allOthrSmAndLwrLvlCuts(const string& s);
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const TH1F& getHisto_allOtherCuts(const string& s);
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const TH1F& getHisto_allCuts(const string& s);
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int getHistoNBins(const string& s);
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double getHistoMin(const string& s);
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double getHistoMax(const string& s);
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baseClass(string * inputList, string * cutFile, string * treeName, string *outputFileName=0, string * cutEfficFile=0);
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virtual ~baseClass();
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// Optimization stuff
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void fillOptimizerWithValue(const string& s, const double& d);
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void runOptimizer();
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private :
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string * configFile_;
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string * outputFileName_;
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TFile * output_root_;
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string * inputList_;
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string * cutFile_;
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string * treeName_; // Name of input tree objects in (.root) files
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TTree * tree_; // main tree
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TTree * tree2_; // tree for globalInfo
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string * cutEfficFile_;
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std::stringstream preCutInfo_;
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map<string, preCut> preCutName_cut_;
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map<string, cut> cutName_cut_;
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vector<string> orderedCutNames_;
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void init();
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void readInputList();
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void readCutFile();
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bool fillCutHistos();
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bool writeCutHistos();
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bool updateCutEffic();
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bool writeCutEfficFile();
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bool sortCuts(const cut&, const cut&);
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vector<string> split(const string& s);
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double decodeCutValue(const string& s);
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bool skimWasMade_;
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int getGlobalInfoNstart( char* );
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int NBeforeSkim_;
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// Optimization stuff
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map<int, Optimize> optimizeName_cut_;
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TH1F* eventcuts_; // number of events passing each cut
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TH1F* h_optimizer_; // optimization histogram
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};
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#endif
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#ifdef baseClass_cxx
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#endif // #ifdef baseClass_cxx
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