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dnisson |
1.24 |
/* A JetFitAnalyzer that makes histograms with smearing */
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dnisson |
1.1 |
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#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h"
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#include "FWCore/ServiceRegistry/interface/Service.h"
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dnisson |
1.2 |
#include "FWCore/MessageLogger/interface/MessageLogger.h"
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dnisson |
1.1 |
#include "PhysicsTools/UtilAlgos/interface/TFileService.h"
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dnisson |
1.18 |
#include <iostream>
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dnisson |
1.1 |
#include <sstream>
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#include "TF2.h"
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dnisson |
1.26 |
#include "TNtuple.h"
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dnisson |
1.1 |
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#define PI 3.141593
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using namespace std;
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class JetFinderAnalyzer : public JetFitAnalyzer {
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public:
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explicit JetFinderAnalyzer( const edm::ParameterSet&);
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~JetFinderAnalyzer() {}
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private:
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dnisson |
1.15 |
virtual void beginJob(const edm::EventSetup &es);
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dnisson |
1.26 |
virtual void analyze_results(HistoFitter::FitResults, std::vector<HistoFitter::Trouble>,
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TH2 *);
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dnisson |
1.1 |
};
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JetFinderAnalyzer::JetFinderAnalyzer(const edm::ParameterSet &pSet)
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: JetFitAnalyzer(pSet) // this is important!
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{
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dnisson |
1.26 |
}
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dnisson |
1.2 |
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dnisson |
1.26 |
void JetFinderAnalyzer::beginJob(const edm::EventSetup &es) {
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dnisson |
1.2 |
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dnisson |
1.1 |
}
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dnisson |
1.26 |
double evalFitFunction(HistoFitter::FitResults r, double x, double y) {
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unsigned nFits = r.pars.size();
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unsigned nGauss = r.pars[nFits-1].size() / 4;
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double fitVal = 0.0;
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for (unsigned i = 0; i < nGauss; i++) {
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double N = r.pval[nFits-1][4*i];
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double mu_x = r.pval[nFits-1][4*i + 1];
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double mu_y = r.pval[nFits-1][4*i + 2];
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double sig = r.pval[nFits-1][4*i + 3];
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double rel_x = x - mu_x; double rel_y = y - mu_y;
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fitVal += (N / 2.0 / M_PI / sig / sig)
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* exp(-(rel_x * rel_x + rel_y * rel_y)/2.0/sig/sig);
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dnisson |
1.13 |
}
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dnisson |
1.26 |
return fitVal;
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}
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dnisson |
1.13 |
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dnisson |
1.26 |
void JetFinderAnalyzer::analyze_results(HistoFitter::FitResults r,
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std::vector<HistoFitter::Trouble> t,
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TH2 *hist_orig) {
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// perform analysis of fit results
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dnisson |
1.15 |
edm::Service<TFileService> fs;
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1.26 |
TH2D *fitHisto = fs->make<TH2D>((std::string(hist_orig->GetName())+"_fit").c_str(),
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("Fitted distribution to "
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+std::string(hist_orig->GetName())).c_str(),
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hist_orig->GetNbinsX(),
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hist_orig->GetXaxis()->GetXmin(),
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hist_orig->GetXaxis()->GetXmax(),
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hist_orig->GetNbinsY(),
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hist_orig->GetYaxis()->GetXmin(),
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hist_orig->GetYaxis()->GetXmax());
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double Xlo = fitHisto->GetXaxis()->GetXmin();
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double Xhi = fitHisto->GetXaxis()->GetXmax();
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double Ylo = fitHisto->GetYaxis()->GetXmin();
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double Yhi = fitHisto->GetYaxis()->GetXmax();
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double XbinSize = (Xhi - Xlo) / static_cast<double>(fitHisto->GetNbinsX());
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double YbinSize = (Yhi - Ylo) / static_cast<double>(fitHisto->GetNbinsY());
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for (int i = 1; i <= fitHisto->GetNbinsX(); i++) {
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for (int j = 1; j <= fitHisto->GetNbinsY(); j++) {
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double x = (static_cast<double>(i) - 0.5) * XbinSize + Xlo;
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double y = (static_cast<double>(j) - 0.5) * YbinSize + Ylo;
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fitHisto->SetBinContent(i, j, evalFitFunction(r, x, y) * XbinSize * YbinSize);
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dnisson |
1.1 |
}
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}
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dnisson |
1.26 |
// save fit results to an ntuple
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TNtuple *rNtuple = fs->make<TNtuple>((std::string(hist_orig->GetName())+"_results").c_str(),
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("Fit results for "+std::string(hist_orig->GetName())).c_str(),
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"N:mu_x:mu_y:sigma");
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unsigned nFits = r.pval.size();
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unsigned nGauss = r.pval[nFits-1].size() / 4;
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for (unsigned i = 0; i < nGauss; i++) {
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rNtuple->Fill(r.pval[nFits-1][4*i], r.pval[nFits-1][4*i+1], r.pval[nFits-1][4*i+2],
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r.pval[nFits-1][4*i+3]);
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dnisson |
1.12 |
}
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dnisson |
1.27 |
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// save chisquares to ntuple
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for (unsigned i = 0; i < r.chisquare.size(); i++) {
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ostringstream csNtupleName, csNtupleTitle;
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csNtupleName << hist_orig->GetName() << "_chi2_" << i << flush;
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csNtupleTitle << "Chisquare "<<i<<" for histo "<<hist_orig->GetName()
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<< flush;
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TNtuple *csNtuple = fs->make<TNtuple>(csNtupleName.str().c_str(),
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csNtupleTitle.str().c_str(),
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"chisq");
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csNtuple->Fill(r.chisquare[i]);
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}
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dnisson |
1.1 |
}
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DEFINE_FWK_MODULE(JetFinderAnalyzer);
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