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dnisson |
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/* A simple jet-finding analyzer */
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#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h"
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#include "SimDataFormats/HepMCProduct/interface/HepMCProduct.h"
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#include "fastjet/ClusterSequence.hh"
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#include "FWCore/ServiceRegistry/interface/Service.h"
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#include "PhysicsTools/UtilAlgos/interface/TFileService.h"
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#include <map>
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#include <vector>
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#include <limits>
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#include <cmath>
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#include <cstdlib>
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#include <fstream>
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#include <sstream>
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#include "TFormula.h"
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#include "TF2.h"
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#define PI 3.141593
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using namespace std;
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using namespace fastjet;
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class JetFinderAnalyzer : public JetFitAnalyzer {
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public:
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struct jet {
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double energy;
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double eta;
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double phi;
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};
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explicit JetFinderAnalyzer( const edm::ParameterSet&);
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~JetFinderAnalyzer() {}
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private:
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static map<TH2 *, vector< vector<jet> > > unique_jets;
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static double phi_cutoff_;
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static double g2int(double xlo, double xhi, double ylo, double yhi,
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double *pval) {
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double sum1 = 0.0;
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double sum2 = 0.0;
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double xmid = 0.5 * (xlo + xhi);
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double ymid = 0.5 * (ylo + yhi);
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double xstep = (xhi - xlo) / 50.0;
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double ystep = (yhi - ylo) / 50.0;
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for (int i = 0; i < 50; i++) {
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double x = (static_cast<double>(i) + 0.5) * xstep + xlo;
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sum1 += xstep * jetfit::fit_fcn(x, ymid, pval);
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}
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for (int i = 0; i < 50; i++) {
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double y = (static_cast<double>(i) + 0.5) * ystep + ylo;
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sum2 += ystep * jetfit::fit_fcn(xmid, y, pval);
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}
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return sum1 * sum2;
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}
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static void jetfinder(TMinuit *gMinuit, TH2 *hist, int ngauss) {
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double dist_sq = numeric_limits<double>::infinity();
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unique_jets[hist].resize(ngauss);
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int nbinsX = hist->GetXaxis()->GetNbins();
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int nbinsY = hist->GetYaxis()->GetNbins();
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double XbinSize = (hist->GetXaxis()->GetXmax()
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- hist->GetXaxis()->GetXmin())
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/ static_cast<double>(nbinsX);
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double YbinSize = (hist->GetYaxis()->GetXmax()
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- hist->GetYaxis()->GetXmin())
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/ static_cast<double>(nbinsY);
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for (int i = 0; i < ngauss; i++) {
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double N, mu_x, mu_y, sig, err, lo, hi;
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int iuint;
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TString name;
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gMinuit->mnpout(4*i, name, N, err, lo, hi, iuint);
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gMinuit->mnpout(4*i + 1, name, mu_x, err, lo, hi, iuint);
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gMinuit->mnpout(4*i + 2, name, mu_y, err, lo, hi, iuint);
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gMinuit->mnpout(4*i + 3, name, sig, err, lo, hi, iuint);
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for (int j = 0; j < i; j++) {
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double N2, mu_x2, mu_y2, sig2;
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gMinuit->mnpout(4*j, name, N2, err, lo, hi, iuint);
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gMinuit->mnpout(4*j + 1, name, mu_x2, err, lo, hi, iuint);
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gMinuit->mnpout(4*j + 2, name, mu_y2, err, lo, hi, iuint);
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gMinuit->mnpout(4*j + 3, name, sig2, err, lo, hi, iuint);
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double _dist_sq = (mu_x2 - mu_x)*(mu_x2 - mu_x)
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+ (mu_y2 - mu_y)*(mu_y2 - mu_y);
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if (_dist_sq < dist_sq)
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dist_sq = _dist_sq;
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}
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jet j;
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j.energy = N;
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j.eta = mu_x; j.phi = mu_y;
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unique_jets[hist][ngauss-1].push_back(j);
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}
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}
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virtual void beginJob(const edm::EventSetup&);
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virtual TH2D* make_histo(const edm::Event&, const edm::EventSetup&);
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virtual jetfit::model_def& make_model_def(const edm::Event&,
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const edm::EventSetup&,
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TH2 *);
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virtual void analyze_results(jetfit::results r,
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std::vector<jetfit::trouble> t, TH2 *);
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fstream ofs;
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double smear_;
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int smear_coord_;
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};
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map<TH2 *, vector< vector< JetFinderAnalyzer::jet > > >
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JetFinderAnalyzer::unique_jets;
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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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smear_ = pSet.getUntrackedParameter("smear", 0.02);
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smear_coord_ = pSet.getUntrackedParameter("smear_coord", 0);
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// 0 = eta-phi smear
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// 1 = proper angle smear
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set_user_minuit(jetfinder);
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}
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TH2D * JetFinderAnalyzer::make_histo(const edm::Event &evt, const edm::EventSetup&) {
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ostringstream oss;
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oss << "eta_phi_energy_unred"<<evt.id().event() << flush;
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TH2D *unred_histo = new TH2D(oss.str().c_str(), oss.str().c_str(),
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600, -2.5, 2.5, 600, -PI, PI);
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// fill unreduced histo
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edm::Handle<edm::HepMCProduct> hRaw;
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evt.getByLabel("source",
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hRaw);
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vector<HepMC::GenParticle *> particles;
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const HepMC::GenEvent *hmcEvt = hRaw->GetEvent();
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for (HepMC::GenEvent::particle_const_iterator
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pit = hmcEvt->particles_begin(); pit != hmcEvt->particles_end();
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pit++) {
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if ((*pit)->status() == 1) {
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particles.push_back(*pit);
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}
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}
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for (int i = 0; i < particles.size(); i++) {
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unred_histo->Fill(particles[i]->momentum().eta(),
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particles[i]->momentum().phi(),
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particles[i]->momentum().e());
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}
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// reduce histo
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ostringstream oss2;
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oss2 << "eta_phi_energy_red"<<evt.id().event() << flush;
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edm::Service<TFileService> fs;
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// draw cone of radius 0.5 around highest energy bin, reduce
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double maxE = 0.0;
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int max_i = 29, max_j = 29;
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for (int i = 0; i < unred_histo->GetNbinsX(); i++) {
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for (int j = 0; j < unred_histo->GetNbinsY(); j++) {
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double E = unred_histo->GetBinContent(i+1, j+1);
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if (E > maxE) {
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maxE = E;
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max_i = i;
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max_j = j;
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}
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}
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}
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double rcone = 0.5;
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double Xlo = unred_histo->GetXaxis()->GetXmin();
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double Xhi = unred_histo->GetXaxis()->GetXmax();
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double Ylo = unred_histo->GetYaxis()->GetXmin();
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double Yhi = unred_histo->GetYaxis()->GetXmax();
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double XbinSize = (Xhi - Xlo) /
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static_cast<double>(unred_histo->GetXaxis()->GetNbins());
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double YbinSize = (Yhi - Ylo) /
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static_cast<double>(unred_histo->GetYaxis()->GetNbins());
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double max_x = (static_cast<double>(max_i) + 0.5) * XbinSize + Xlo;
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double max_y = (static_cast<double>(max_j) + 0.5) * YbinSize + Ylo;
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TH2D *histo = fs->make<TH2D>(oss2.str().c_str(), oss2.str().c_str(),
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60, max_x-rcone, max_x+rcone,
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60, max_y-rcone, max_y+rcone);
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// create an unsmeared reduced histo
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TH2D *histo_unsmeared = fs->make<TH2D>((oss2.str()+"_unsmeared").c_str(),
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(oss2.str()+"_unsmeared").c_str(),
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60, max_x-rcone, max_x+rcone,
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60, max_y-rcone, max_y+rcone);
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for (int i = 0; i < particles.size(); i++) {
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double N = particles[i]->momentum().e();
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double x = particles[i]->momentum().eta();
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double y = particles[i]->momentum().phi();
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histo_unsmeared->Fill(x, y, N);
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}
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// create a smeared reduced histo
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// create a temporary 2D vector for smeared energies
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XbinSize = (histo->GetXaxis()->GetXmax()
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- histo->GetXaxis()->GetXmin()) /
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static_cast<double>(histo->GetXaxis()->GetNbins());
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YbinSize = (histo->GetYaxis()->GetXmax()
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- histo->GetYaxis()->GetXmin()) /
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static_cast<double>(histo->GetYaxis()->GetNbins());
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vector< vector<double> > smeared(60, vector<double>(60, 0.0) );
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switch (smear_coord_) {
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case 1:
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for (int i = 0; i < particles.size(); i++) {
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double N = particles[i]->momentum().e();
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double x = particles[i]->momentum().eta();
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double y = particles[i]->momentum().phi();
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// loop over bins and add Gaussian in proper angle to smeared
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for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
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for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
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double eta = static_cast<double>((signed int)i2) * XbinSize +
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max_x - rcone - x;
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double phi = acos(cos(static_cast<double>((signed int)j2) * YbinSize +
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max_y - rcone - y));
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phi = sin(phi) > 0 ? phi : -phi;
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// transform eta, phi to proper angle
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double theta = 2.0*atan(exp(-eta));
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double iota = asin(sin(theta)*sin(phi));
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smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
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* exp(-0.5*(theta*theta + iota*iota)/(smear_*smear_));
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}
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}
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}
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break;
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case 0:
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default:
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for (int i = 0; i < particles.size(); i++) {
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double N = particles[i]->momentum().e();
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double x = particles[i]->momentum().eta();
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double y = particles[i]->momentum().phi();
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// loop over bins and add Gaussian to smeared
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for (vector< vector<double> >::size_type i2 = 0; i2 < 60; i2++) {
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for (vector< double >::size_type j2 = 0; j2 < 60; j2++) {
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double eta = static_cast<double>((signed int)i2) * XbinSize
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+ max_x - rcone - x;
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double phi = acos(cos(static_cast<double>((signed int)j2) * YbinSize
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+ max_y - rcone - y));
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phi = sin(phi) > 0 ? phi : -phi;
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smeared[i2][j2] += (N*XbinSize*YbinSize/(2.0*PI*smear_*smear_))
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* exp(-0.5*(eta*eta + phi*phi)/(smear_*smear_));
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}
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}
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}
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}
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// set histogram to match smear vector
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for (int i = 1; i <= 60; i++) {
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for (int j = 1; j <= 60; j++) {
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histo->SetBinContent(i, j, smeared[i-1][j-1]);
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}
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}
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return histo;
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}
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void seed_with_CA(const edm::Event &evt, TH2 *histo,
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jetfit::model_def &_mdef) {
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edm::Handle<edm::HepMCProduct> hMC;
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evt.getByLabel("source", hMC);
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// create a PseudoJet vector
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vector<PseudoJet> particles;
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const HepMC::GenEvent *hmcEvt = hMC->GetEvent();
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for (HepMC::GenEvent::particle_const_iterator
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pit = hmcEvt->particles_begin(); pit != hmcEvt->particles_end();
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pit++) {
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if ((*pit)->status() == 1) {
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double x_max = (histo->GetXaxis()->GetXmax()
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+ histo->GetXaxis()->GetXmin()) / 2.0;
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double y_max = (histo->GetYaxis()->GetXmax()
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+ histo->GetYaxis()->GetXmin()) / 2.0;
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valarray<double> pmom(4);
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pmom[0] = (*pit)->momentum().px();
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pmom[1] = (*pit)->momentum().py();
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pmom[2] = (*pit)->momentum().pz();
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pmom[3] = (*pit)->momentum().e();
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double eta = (*pit)->momentum().eta();
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double phi = (*pit)->momentum().phi();
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if ((eta - x_max)*(eta - x_max) + (phi - y_max)*(phi - y_max) < 0.25) {
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PseudoJet j(pmom);
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particles.push_back(j);
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}
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}
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}
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// choose a jet definition
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double R = 0.2;
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JetDefinition jet_def(cambridge_algorithm, R);
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// run clustering and extract the jets
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ClusterSequence cs(particles, jet_def);
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vector<PseudoJet> jets = cs.inclusive_jets();
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double XbinSize = (histo->GetXaxis()->GetXmax()
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- histo->GetXaxis()->GetXmin()) /
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static_cast<double>(histo->GetXaxis()->GetNbins());
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double YbinSize = (histo->GetYaxis()->GetXmax()
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- histo->GetYaxis()->GetXmin()) /
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static_cast<double>(histo->GetYaxis()->GetNbins());
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// seed with C-A jets
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int ijset = 0;
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307 |
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for (unsigned ij = 0; ij < jets.size(); ij++) {
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308 |
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double N = jets[ij].e();
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309 |
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if (N > 10.0) {
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_mdef.set_special_par(ijset, 0, N, _mdef.chisquare_error(N)*0.1,
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0.0, 1.0e6);
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_mdef.set_special_par(ijset, 1, jets[ij].eta(), 0.01,
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|
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0.0, 0.0);
|
314 |
|
|
double mdef_phi = jets[ij].phi() > PI ? jets[ij].phi() - 2*PI
|
315 |
|
|
: jets[ij].phi();
|
316 |
|
|
_mdef.set_special_par(ijset, 2, mdef_phi, 0.01,
|
317 |
|
|
0.0, 0.0);
|
318 |
|
|
_mdef.set_special_par(ijset, 3, 0.1, 0.001, 0.0, 0.0);
|
319 |
|
|
ijset++;
|
320 |
|
|
}
|
321 |
|
|
}
|
322 |
|
|
}
|
323 |
|
|
|
324 |
|
|
jetfit::model_def& JetFinderAnalyzer::make_model_def(const edm::Event& evt,
|
325 |
|
|
const edm::EventSetup&,
|
326 |
|
|
TH2 *histo) {
|
327 |
|
|
class jf_model_def : public jetfit::model_def {
|
328 |
|
|
public:
|
329 |
|
|
virtual double chisquare_error(double E) {
|
330 |
|
|
return 0.97*E + 14.0;
|
331 |
|
|
// study from 08-27-09
|
332 |
|
|
}
|
333 |
|
|
};
|
334 |
|
|
|
335 |
|
|
jf_model_def *_mdef = new jf_model_def();
|
336 |
|
|
TFormula *formula = new TFormula("gaus2d",
|
337 |
|
|
"[0]*exp(-0.5*((x-[1])**2 + (y-[2])**2)/([3]**2))/(2*pi*[3]**2)");
|
338 |
|
|
_mdef->set_formula(formula);
|
339 |
|
|
_mdef->set_indiv_max_E(0);
|
340 |
|
|
_mdef->set_indiv_max_x(1);
|
341 |
|
|
_mdef->set_indiv_max_y(2);
|
342 |
|
|
_mdef->set_indiv_par(0, string("N"), 0.0, 0.0, 0.0, 1.0e6);
|
343 |
|
|
_mdef->set_indiv_par(1, string("mu_x"), 0.0, 0.0, 0.0, 0.0);
|
344 |
|
|
_mdef->set_indiv_par(2, string("mu_y"), 0.0, 0.0, 0.0, 0.0);
|
345 |
|
|
_mdef->set_indiv_par(3, string("sig"), 0.1, 0.001, 0.0, 0.0);
|
346 |
|
|
|
347 |
|
|
seed_with_CA(evt, histo, *_mdef);
|
348 |
|
|
|
349 |
|
|
jetfit::set_model_def(_mdef);
|
350 |
|
|
|
351 |
|
|
// generate initial fit histogram
|
352 |
|
|
edm::Service<TFileService> fs;
|
353 |
|
|
TH2D *init_fit_histo = fs->make<TH2D>(("init_fit_"+string(histo->GetName()))
|
354 |
|
|
.c_str(),
|
355 |
|
|
("Initial fit for "
|
356 |
|
|
+string(histo->GetName())).c_str(),
|
357 |
|
|
histo->GetXaxis()->GetNbins(),
|
358 |
|
|
histo->GetXaxis()->GetXmin(),
|
359 |
|
|
histo->GetXaxis()->GetXmax(),
|
360 |
|
|
histo->GetXaxis()->GetNbins(),
|
361 |
|
|
histo->GetXaxis()->GetXmin(),
|
362 |
|
|
histo->GetXaxis()->GetXmax());
|
363 |
|
|
double XbinSize = (histo->GetXaxis()->GetXmax()
|
364 |
|
|
- histo->GetXaxis()->GetXmin()) /
|
365 |
|
|
static_cast<double>(histo->GetXaxis()->GetNbins());
|
366 |
|
|
double YbinSize = (histo->GetYaxis()->GetXmax()
|
367 |
|
|
- histo->GetYaxis()->GetXmin()) /
|
368 |
|
|
static_cast<double>(histo->GetYaxis()->GetNbins());
|
369 |
|
|
double Xlo = histo->GetXaxis()->GetXmin();
|
370 |
|
|
double Xhi = histo->GetXaxis()->GetXmax();
|
371 |
|
|
double Ylo = histo->GetYaxis()->GetXmin();
|
372 |
|
|
double Yhi = histo->GetYaxis()->GetXmax();
|
373 |
|
|
|
374 |
|
|
for (int i = 0; i < 60; i++) {
|
375 |
|
|
for (int j = 0; j < 60; j++) {
|
376 |
|
|
double x = (static_cast<double>(i) + 0.5)*XbinSize + Xlo;
|
377 |
|
|
double y = (static_cast<double>(j) + 0.5)*YbinSize + Ylo;
|
378 |
|
|
double pval[256];
|
379 |
|
|
if (_mdef->get_n_special_par_sets() > 64) {
|
380 |
|
|
cerr << "Parameter overload" << endl;
|
381 |
|
|
return *_mdef;
|
382 |
|
|
}
|
383 |
|
|
else {
|
384 |
|
|
for (int is = 0; is < _mdef->get_n_special_par_sets(); is++) {
|
385 |
|
|
for (int ii = 0; ii < 4; ii++) {
|
386 |
|
|
double spval, sperr, splo, sphi;
|
387 |
|
|
_mdef->get_special_par(is, ii, spval, sperr, splo, sphi);
|
388 |
|
|
pval[4*is + ii] = spval;
|
389 |
|
|
}
|
390 |
|
|
}
|
391 |
|
|
}
|
392 |
|
|
jetfit::set_ngauss(_mdef->get_n_special_par_sets());
|
393 |
|
|
init_fit_histo->SetBinContent(i+1, j+1,
|
394 |
|
|
jetfit::fit_fcn(x, y, pval));
|
395 |
|
|
}
|
396 |
|
|
}
|
397 |
|
|
|
398 |
|
|
return *_mdef;
|
399 |
|
|
}
|
400 |
|
|
|
401 |
|
|
void JetFinderAnalyzer::beginJob(const edm::EventSetup &es) {
|
402 |
|
|
ofs.open("jetfindlog.txt", ios::out);
|
403 |
|
|
if (ofs.fail()) {
|
404 |
|
|
cerr << "Opening jetfindlog.txt FAILED" << endl;
|
405 |
|
|
}
|
406 |
|
|
ofs << "Jetfinder log" << endl
|
407 |
|
|
<< "=============" << endl << endl;
|
408 |
|
|
}
|
409 |
|
|
|
410 |
|
|
ostream& operator<<(ostream &out, jetfit::trouble t) {
|
411 |
|
|
string action, error_string;
|
412 |
|
|
|
413 |
|
|
if (t.istat != 3) {
|
414 |
|
|
switch(t.occ) {
|
415 |
|
|
case jetfit::T_NULL:
|
416 |
|
|
action = "Program"; break;
|
417 |
|
|
case jetfit::T_SIMPLEX:
|
418 |
|
|
action = "SIMPLEX"; break;
|
419 |
|
|
case jetfit::T_MIGRAD:
|
420 |
|
|
action = "MIGRAD"; break;
|
421 |
|
|
case jetfit::T_MINOS:
|
422 |
|
|
action = "MINOS"; break;
|
423 |
|
|
default:
|
424 |
|
|
action = "Program"; break;
|
425 |
|
|
}
|
426 |
|
|
|
427 |
|
|
switch (t.istat) {
|
428 |
|
|
case 0:
|
429 |
|
|
error_string = "Unable to calculate error matrix"; break;
|
430 |
|
|
case 1:
|
431 |
|
|
error_string = "Error matrix a diagonal approximation"; break;
|
432 |
|
|
case 2:
|
433 |
|
|
error_string = "Error matrix not positive definite"; break;
|
434 |
|
|
case 3:
|
435 |
|
|
error_string = "Converged successfully"; break;
|
436 |
|
|
default:
|
437 |
|
|
ostringstream oss;
|
438 |
|
|
oss<<"Unknown status code "<<t.istat << flush;
|
439 |
|
|
error_string = oss.str(); break;
|
440 |
|
|
}
|
441 |
|
|
|
442 |
|
|
if (t.occ != jetfit::T_NULL)
|
443 |
|
|
out << action<<" trouble: "<<error_string;
|
444 |
|
|
else
|
445 |
|
|
out << "Not calculated" << endl;
|
446 |
|
|
}
|
447 |
|
|
|
448 |
|
|
return out;
|
449 |
|
|
}
|
450 |
|
|
|
451 |
|
|
void JetFinderAnalyzer::analyze_results(jetfit::results r,
|
452 |
|
|
std::vector<jetfit::trouble> t,
|
453 |
|
|
TH2 *hist_orig) {
|
454 |
|
|
ofs << "Histogram "<<hist_orig->GetName() << endl;
|
455 |
|
|
for (int i = 0; i < unique_jets[hist_orig].size(); i++) {
|
456 |
|
|
ofs << "For "<<i+1<<" gaussians: " << endl
|
457 |
|
|
<< t.at(i) << endl
|
458 |
|
|
<< unique_jets[hist_orig][i].size()<<" unique jets found" << endl;
|
459 |
|
|
for (int j = 0; j < unique_jets[hist_orig][i].size(); j++) {
|
460 |
|
|
jet _jet = unique_jets[hist_orig][i][j];
|
461 |
|
|
ofs << "Jet "<<j<<": Energy = "<<_jet.energy<<", eta = "<<_jet.eta
|
462 |
|
|
<< ", phi = "<<_jet.phi << endl;
|
463 |
|
|
}
|
464 |
|
|
ofs << endl;
|
465 |
|
|
}
|
466 |
|
|
ofs << endl;
|
467 |
|
|
|
468 |
|
|
// save fit function histograms to root file
|
469 |
|
|
edm::Service<TFileService> fs;
|
470 |
|
|
for (vector< vector<double> >::size_type i = 0;
|
471 |
|
|
i < r.pval.size(); i++) {
|
472 |
|
|
jetfit::set_ngauss(r.pval[i].size() / 4);
|
473 |
|
|
TF2 *tf2 = new TF2("fit_func", jetfit::fit_fcn_TF2,
|
474 |
|
|
hist_orig->GetXaxis()->GetXmin(),
|
475 |
|
|
hist_orig->GetXaxis()->GetXmax(),
|
476 |
|
|
hist_orig->GetYaxis()->GetXmin(),
|
477 |
|
|
hist_orig->GetYaxis()->GetXmax(),
|
478 |
|
|
r.pval[i].size());
|
479 |
|
|
for (vector<double>::size_type j = 0; j < r.pval[i].size(); j++) {
|
480 |
|
|
tf2->SetParameter(j, r.pval[i][j]);
|
481 |
|
|
}
|
482 |
|
|
ostringstream fit_histo_oss;
|
483 |
|
|
fit_histo_oss << hist_orig->GetName()<<"_fit_"<<i << flush;
|
484 |
|
|
tf2->SetNpx(hist_orig->GetXaxis()->GetNbins());
|
485 |
|
|
tf2->SetNpy(hist_orig->GetYaxis()->GetNbins());
|
486 |
|
|
TH2D *fit_histo = fs->make<TH2D>(fit_histo_oss.str().c_str(),
|
487 |
|
|
fit_histo_oss.str().c_str(),
|
488 |
|
|
hist_orig->GetXaxis()->GetNbins(),
|
489 |
|
|
hist_orig->GetXaxis()->GetXmin(),
|
490 |
|
|
hist_orig->GetXaxis()->GetXmax(),
|
491 |
|
|
hist_orig->GetYaxis()->GetNbins(),
|
492 |
|
|
hist_orig->GetYaxis()->GetXmin(),
|
493 |
|
|
hist_orig->GetYaxis()->GetXmax());
|
494 |
|
|
TH1 *tf2_histo = tf2->CreateHistogram();
|
495 |
|
|
double XbinSize = (fit_histo->GetXaxis()->GetXmax()
|
496 |
|
|
- fit_histo->GetXaxis()->GetXmin())
|
497 |
|
|
/ static_cast<double>(fit_histo->GetXaxis()->GetNbins());
|
498 |
|
|
double YbinSize = (fit_histo->GetYaxis()->GetXmax()
|
499 |
|
|
- fit_histo->GetYaxis()->GetXmin())
|
500 |
|
|
/ static_cast<double>(fit_histo->GetYaxis()->GetNbins());
|
501 |
|
|
for (int ih = 0; ih < tf2->GetNpx(); ih++) {
|
502 |
|
|
for (int jh = 0; jh < tf2->GetNpy(); jh++) {
|
503 |
|
|
fit_histo->SetBinContent(ih+1, jh+1,
|
504 |
|
|
tf2_histo->GetBinContent(ih+1, jh+1)
|
505 |
|
|
* XbinSize * YbinSize);
|
506 |
|
|
}
|
507 |
|
|
}
|
508 |
|
|
}
|
509 |
|
|
|
510 |
|
|
// save results to file
|
511 |
|
|
ostringstream res_tree_oss, rt_title_oss;
|
512 |
|
|
res_tree_oss << hist_orig->GetName()<<"_results" << flush;
|
513 |
|
|
rt_title_oss << "Fit results for "<<hist_orig->GetName() << flush;
|
514 |
|
|
}
|
515 |
|
|
|
516 |
|
|
DEFINE_FWK_MODULE(JetFinderAnalyzer);
|