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#ifndef MULTITHRESHOLDEFFICIENCY_H
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#define MULTITHRESHOLDEFFICIENCY_H
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#include <math.h>
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#include <iostream>
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#include <vector>
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using namespace std;
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class MultiThresholdEfficiency
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{
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public:
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MultiThresholdEfficiency(unsigned int nOfThresholds) : thresholds(nOfThresholds) {}
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//A vector with, for each object the efficiency of passing threshold N while notpassing N-1
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template <class Filter> float weight(vector<vector<float> > input);
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private:
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unsigned int thresholds;
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};
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// NB here sorting is in opposite direction than for btag 0 is tigther , 1 is looser
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class Trigger1High2Loose
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{
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public:
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static bool filter(std::vector<int> t)
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{
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return t[0] >= 1 && t[1] >= 2;
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}
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};
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template <class Filter> float MultiThresholdEfficiency::weight(vector<vector<float> > objects)
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{
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unsigned int nobjects=objects.size();
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std::vector<unsigned int> comb(objects.size());
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for(unsigned int i=0;i < objects.size(); i++) comb[i]=0;
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unsigned int idx=0;
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unsigned int max=thresholds+1; //
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float p=0,tot=0;
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if(objects.size()==0) return 0.;
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while(comb[objects.size()-1] < max)
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{
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//std::cout << std::endl << "New comb" << std::endl;
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// for(int i=0;i < objects.size(); i++) {std::cout << comb[i] << " ";}
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// std::cout << std::endl;
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std::vector<int> pass;
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for(unsigned int j=0;j<thresholds;j++) pass.push_back(0);
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float thisCombinationProbability=1.;
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// std::cout << "OBJ Probs: ";
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for(size_t j=0;j<nobjects;j++) // loop on objects
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{
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float cumulative=1.;
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for(unsigned int n=0;n<comb[j];n++) cumulative*= (1.-objects[j][n]); // 10 20 70 10/100,20/90 90/100*70/90
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thisCombinationProbability*=cumulative;
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if(comb[j]< thresholds) {
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thisCombinationProbability*=(objects[j])[comb[j]];
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// std::cout << cumulative*(objects[j])[comb[j]] << " ";
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}
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/* else
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{
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std::cout << cumulative << " " ;
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}*/
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for(size_t k=0;k< thresholds; k++ ) // loop on threshold
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{
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bool passed = ( k >= comb[j] ) ; //k=0, is the tightest, passed only if comb[j] = 0, k=1 pass if comb 0 or 1
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if(passed) pass[k]++;
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}
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}
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// std::cout << endl;
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if(Filter::filter(pass)) p+=thisCombinationProbability;
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tot+=thisCombinationProbability;
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// std::cout << thisCombinationProbability << " " << p << " " << tot<< std::endl;
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while (comb[idx] == max -1 && idx+1 < objects.size()) idx++; // find first object for which we did not already test all configs
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// next combination
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comb[idx]++; // test a new config for that jet
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for(unsigned int i=0;i<idx;i++) { comb[i]=0; } // reset the tested configs for all previous objects
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idx=0;
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}
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if( fabs(tot-1.) > 0.01 )
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{
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std::cout << "ERROR, total must be one " << tot << std::endl;
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}
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return p;
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}
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#endif
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