[ViewVC] Diff of: cvsroot/UserCode/JetFitAnalyzer/src/JetFitAnalyzer.cc

Comparing UserCode/JetFitAnalyzer/src/JetFitAnalyzer.cc (file contents):
Revision 1.3 by dnisson, Wed Oct 14 03:09:38 2009 UTC vs.
Revision 1.8 by dnisson, Mon Nov 23 04:00:09 2009 UTC

+#include "UserCode/JetFitAnalyzer/interface/JetFitAnalyzer.h"
-<
+#include <vector>
->
->
+#include <cstdlib>
->
+#include <cmath>
->
+#include <ctime>
->
+#include <cstdio>
->
+#include <cstring>
->
+#include <cctype>
+#include <iostream>
-+
+#include <fstream>
-+
+#include <sstream>
-+
+#include <string>
-+
+#include <vector>
-+
+#include <set>
-+
+#include <map>
-+
+#include <limits>
-+
+#include <exception>
-+
-+
+#include <TMinuit.h>
-+
+#include <TH1.h>
-+
+#include <TH2.h>
-+
+#include <TF2.h>
-+
+#include <TRandom3.h>
-+
+#include <Rtypes.h>
-+
+#include <TFormula.h>
-+
+#include <TSystem.h>
-+
+#include <TMath.h>
-+
-+
+#include "UserCode/JetFitAnalyzer/interface/jetfit.h"
-+
-+
+#define PI 3.141592653
-+
-+
+#define MAX_GAUSS 3
-+
-+
+using namespace std;
-+
-+
+  JetFitAnalyzer::ModelDefinition *mdef;
-+
-+
+  JetFitAnalyzer::ModelDefinition& curr_ModelDefinition() {
-+
+    return *mdef;
-+
+  }
-+
-+
+  void JetFitAnalyzer::set_ModelDefinition(ModelDefinition *_mdef) {
-+
+    mdef = _mdef;
-+
+  }
-+
-+
+  int JetFitAnalyzer::ModelDefinition::get_ngauss() {
-+
+    return ngauss;
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_ngauss(int _ngauss) {
-+
+    ngauss = _ngauss;
-+
+  }
-+
-+
+  // fit function
-+
+  double JetFitAnalyzer::ModelDefinition::fit_fcn(double x, double y, double *xval) {
-+
+    int npar_indiv = get_formula()->GetNpar();
-+
+    double val = 0.0;
-+
+    for (int i = 0; i < ngauss; i++) {
-+
+      get_formula()->SetParameters(xval + i*npar_indiv);
-+
+      val += mdef->get_formula()->Eval(x, y);
-+
+    }
-+
+    return val;
-+
+  }
-+
-+
+  // TF2-compatible fit function
-+
+  double JetFitAnalyzer::fit_fcn_TF2(double *x, double *pval) {
-+
+    double val = mdef->fit_fcn(x[0], x[1], pval);
-+
+    return val;
-+
+  }
-+
-+
+  // Integral of (model formula)^2 / chisquare sigma
-+
+  double JetFitAnalyzer::ModelDefinition::formula_int(double xlo, double xhi, double ylo, double yhi,
-+
+                     double *pval, double XbinSize, double YbinSize,
-+
+                     double *xval) {
-+
+    double xstep = (xhi - xlo) / static_cast<double>(20);
-+
+    double ystep = (yhi - ylo) / static_cast<double>(20);
-+
-+
+    double fsum = 0.0;
-+
+    double pval_old[256];
-+
+    int npar = get_formula()->GetNpar();
-+
+    if (npar > 256) {
-+
+      cerr << "Parameter overload" << endl;
-+
+      return 0.0;
-+
+    }
-+
+    get_formula()->GetParameters(pval_old);
-+
+    get_formula()->SetParameters(pval);
-+
-+
+    for (int i = 0; i < 20; i++) {
-+
+      for (int j = 0; j < 20; j++) {
-+
+        double x = (static_cast<double>(i) + 0.5)*xstep + xlo;
-+
+        double y = (static_cast<double>(j) + 0.5)*ystep + ylo;
-+
+        double sig_cut = 1.0e-5;
-+
+        double nu = XbinSize * YbinSize * fit_fcn(x, y, xval);
-+
+        double sigma = fabs(chisquare_error(0.0)) < sig_cut
-+
+          ? sig_cut : chisquare_error(0.0);
-+
-+
+        fsum += pow(xstep * ystep * get_formula()->Eval(x, y), 2.0)
-+
+          / sigma / sigma;
-+
+      }
-+
+    }
-+
-+
+    get_formula()->SetParameters(pval_old);
-+
+    return fsum;
-+
+  }
-+
-+
+  // MINUIT objective function
-+
+  void fcn(int &npar, double *grad, double &fcnval, double *xval, int iflag)
-+
+  {
-+
+    double chisquare = 0.0;
-+
+    double XbinSize = (energy.Xhi - energy.Xlo)
-+
+      / static_cast<double>(energy.bins.size());
-+
+    double YbinSize = (energy.Yhi - energy.Ylo)
-+
+      / static_cast<double>(energy.bins.at(0).size());
-+
+    try {
-+
+      // add errors in data points in histogram
-+
+      for (int i = 0; i < energy.bins.size(); i++) {
-+
+        for (int j = 0; j < energy.bins.at(i).size(); j++) {
-+
+          double x = (static_cast<double>(i) + 0.5) * (energy.Xhi - energy.Xlo)
-+
+            / static_cast<double>(energy.bins.size()) + energy.Xlo;
-+
+          double y = (static_cast<double>(j) + 0.5) * (energy.Yhi - energy.Ylo)
-+
+            / static_cast<double>(energy.bins.at(i).size()) + energy.Ylo;
-+
+          double nu = mdef->fit_fcn(x, y, xval) * XbinSize * YbinSize;
-+
+          double sig_cut = 1.0e-5;
-+
+          if (fabs(mdef->chisquare_error(energy.bins.at(i).at(j))) > sig_cut || !ignorezero_) {
-+
+            chisquare += pow(energy.bins.at(i).at(j) - nu, 2.0)
-+
+              / pow(mdef->chisquare_error(energy.bins.at(i).at(j)), 2.0);
-+
+          }
-+
+          else {
-+
+            chisquare += pow(energy.bins.at(i).at(j) - nu, 2.0)
-+
+              / pow(sig_cut, 2.0);
-+
+          }
-+
+        }
-+
+      }
-+
-+
+      // add errors due to Gaussians outside histogram
-+
+      double eps = 0.01; // accuracy set for this function
-+
+      for (int i = 0; i < mdef->get_ngauss(); i++) {
-+
+        double *pval = xval+i*(mdef->get_formula()->GetNpar());
-+
+        double par_x = pval[mdef->get_indiv_max_x()];
-+
+        double par_y = pval[mdef->get_indiv_max_y()];
-+
+        double par_sig = pval[3];
-+
+        double cutoff_rad = sqrt(-log(eps * 2.0 * PI * par_sig * par_sig
-+
+          / pval[0]) * 2.0 * par_sig * par_sig);
-+
-+
+        bool left = par_x < energy.Xlo + cutoff_rad;
-+
+        bool right = par_x > energy.Xhi - cutoff_rad;
-+
+        bool top = par_y > energy.Yhi - cutoff_rad;
-+
+        bool bottom = par_y < energy.Ylo + cutoff_rad;
-+
-+
+        if (left) {
-+
+          double xlo = par_x - cutoff_rad;
-+
+          double xhi = energy.Xlo;
-+
+          double ylo = energy.Ylo;
-+
+          double yhi = energy.Yhi;
-+
+          chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
-+
+                                   XbinSize, YbinSize, xval);
-+
+        }
-+
+        if (right) {
-+
+          double xlo = energy.Xhi;
-+
+          double xhi = par_x + cutoff_rad;
-+
+          double ylo = energy.Ylo;
-+
+          double yhi = energy.Yhi;
-+
+          chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
-+
+                                   XbinSize, YbinSize, xval);
-+
+        }
-+
+        if (top) {
-+
+          double xlo = left ? par_x - cutoff_rad : energy.Xlo;
-+
+          double xhi = right ? par_x + cutoff_rad : energy.Xhi;
-+
+          double ylo = energy.Yhi;
-+
+          double yhi = par_y + cutoff_rad;
-+
+          chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
-+
+                                   XbinSize, YbinSize, xval);
-+
+        }
-+
+        if (bottom) {
-+
+          double xlo = left ? par_x - cutoff_rad : energy.Xlo;
-+
+          double xhi = right ? par_x + cutoff_rad : energy.Xhi;
-+
+          double ylo = par_y - cutoff_rad;
-+
+          double yhi = energy.Ylo;
-+
+          chisquare += 2.0*mdef->formula_int(xlo, xhi, ylo, yhi, pval,
-+
+                                   XbinSize, YbinSize, xval);
-+
+        }
-+
+      }
-+
-+
+      fcnval = chisquare;
-+
+    }
-+
+    catch (exception ex) {
-+
+      cerr << "Exception in jetfit::fcn" << endl;
-+
+    }
-+
+  }
-+
-+
+  TFormula * JetFitAnalyzer::ModelDefinition::get_formula() {
-+
+    return indiv_formula;
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_formula(TFormula *new_formula) {
-+
+    indiv_formula = new_formula;
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::get_indiv_par(int i, string &name, double &start, double &step,
-+
+                     double &lo, double &hi) {
-+
+    try {
-+
+      name = indiv_par_names.at(i);
-+
+      start = indiv_par_starts.at(i);
-+
+      step = indiv_par_start_steps.at(i);
-+
+      lo = indiv_par_lo.at(i);
-+
+      hi = indiv_par_hi.at(i);
-+
+    } catch (exception ex) {
-+
+      cerr << "exception in jetfit::ModelDefinition::get_indiv_par" << endl;
-+
+    }
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_indiv_par(int i, string name, double start, double step,
-+
+                     double lo, double hi) {
-+
+    if (indiv_par_names.size() < i+1) {
-+
+      indiv_par_names.resize(i+1);
-+
+      indiv_par_starts.resize(i+1);
-+
+      indiv_par_start_steps.resize(i+1);
-+
+      indiv_par_lo.resize(i+1);
-+
+      indiv_par_hi.resize(i+1);
-+
+    }
-+
+    try {
-+
+      indiv_par_names.at(i) = name;
-+
+      indiv_par_starts.at(i) = start;
-+
+      indiv_par_start_steps.at(i) = step;
-+
+      indiv_par_lo.at(i) = lo;
-+
+      indiv_par_hi.at(i) = hi;
-+
+    }
-+
+    catch (exception ex) {
-+
+      cerr << "exception in jetfit::ModelDefinition::set_indiv_par" << endl;
-+
+    }
-+
+  }
-+
-+
+  int JetFitAnalyzer::ModelDefinition::get_indiv_max_E() {
-+
+    return indiv_max_E;
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_indiv_max_E(int _new_max_E) {
-+
+    indiv_max_E = _new_max_E;
-+
+  }
-+
-+
+  int JetFitAnalyzer::ModelDefinition::get_indiv_max_x() {
-+
+    return indiv_max_x;
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_indiv_max_x(int new_max_x) {
-+
+    indiv_max_x = new_max_x;
-+
+  }
-+
-+
+  int JetFitAnalyzer::ModelDefinition::get_indiv_max_y() {
-+
+    return indiv_max_y;
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_indiv_max_y(int new_max_y) {
-+
+    indiv_max_y = new_max_y;
-+
+  }
-+
-+
+  unsigned JetFitAnalyzer::ModelDefinition::get_n_special_par_sets() {
-+
+    return special_par_starts.size();
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::get_special_par(int g, int i, double &pstart,
-+
+                                  double &perr, double &plo, double &phi) {
-+
+    try {
-+
+      pstart = special_par_starts.at(g).at(i);
-+
+      perr = special_par_start_steps.at(g).at(i);
-+
+      plo = special_par_lo.at(g).at(i);
-+
+      phi = special_par_hi.at(g).at(i);
-+
+    } catch (exception ex) {
-+
+      cerr << "Exception in ModelDefinition::get_special_par" << endl;
-+
+    }
-+
+  }
-+
-+
+  void JetFitAnalyzer::ModelDefinition::set_special_par(int g, int i, double pstart,
-+
+                                  double perr, double plo, double phi) {
-+
+    if (g+1 > special_par_starts.size()) {
-+
+      special_par_starts.resize(g+1);
-+
+      special_par_start_steps.resize(g+1);
-+
+      special_par_lo.resize(g+1);
-+
+      special_par_hi.resize(g+1);
-+
+    }
-+
-+
+    try {
-+
+      if (i+1 > special_par_starts.at(g).size()) {
-+
+        special_par_starts.at(g).resize(i+1);
-+
+        special_par_start_steps.at(g).resize(i+1);
-+
+        special_par_lo.at(g).resize(i+1);
-+
+        special_par_hi.at(g).resize(i+1);
-+
+      }
-+
-+
+      special_par_starts.at(g).at(i) = pstart;
-+
+      special_par_start_steps.at(g).at(i) = perr;
-+
+      special_par_lo.at(g).at(i) = plo;
-+
+      special_par_hi.at(g).at(i) = phi;
-+
+    }
-+
+    catch (exception ex) {
-+
+      cerr << "exception in jetfit::ModelDefinition::set_special_par" << endl;
-+
+    }
-+
+  }
-+
-+
+  void JetFitAnalyzer::fill_histo_with_vec(TH2 *hist, vector< vector<double> > &vec) {
-+
+    for (int i = 0; i < vec.size(); i++) {
-+
+      for (int j = 0; j < vec[i].size(); j++) {
-+
+        hist->SetBinContent(i+1, j+1, vec[i][j]);
-+
+      }
-+
+    }
-+
+  }
-+
-+
+vector<vector<double> >
-+
+JetFitAnalyzer::ModelDefinition::subtractCurrentFit(VectorHisto energy) {
-+
+  vector< vector<double> > subEnergy;
-+
-+
+     double XbinSize = (energy.Xhi - energy.Xlo)
-+
+        / static_cast<double>(energy.bins.size());
-+
+      double YbinSize = (energy.Xhi - energy.Xlo)
-+
+        / static_cast<double>(energy.bins.at(0).size());
-+
+      vector< vector<double> > subEnergy(energy.bins.size());
-+
+      double max_sub, max_x = 0.0, max_y = 0.0;
-+
+      double pval_other[256];
-+
+      max_sub = -(numeric_limits<double>::max());
-+
+      for (int i = 0; i < energy.bins.size(); i++) {
-+
+        subEnergy[i].resize(energy.bins[i].size());
-+
+        for (int j = 0; j < energy.bins[i].size(); j++) {
-+
+          double x = static_cast<double>(i)*(energy.Xhi - energy.Xlo)
-+
+            / static_cast<double>(energy.bins.size()) + energy.Xlo;
-+
+          double y = static_cast<double>(j)*(energy.Yhi - energy.Ylo)
-+
+            / static_cast<double>(energy.bins[i].size()) + energy.Ylo;
-+
+          if (ngauss > 1) {
-+
+            // subtract integral of fit function
-+
+            try {
-+
+              int npval_other = r.pval.at(r.pval.size()-1).size();
-+
+              if (npval_other > 256) {
-+
+                cerr << "Parameter overload" << endl;
-+
+                return -1.0;
-+
+              }
-+
+              for (int k = 0; k < npval_other; k++) {
-+
+                pval_other[k] = r.pval[r.pval.size()-1][k];
-+
+              }
-+
+              ngauss--;
-+
+              double nu = fit_fcn(x, y, pval_other) * XbinSize * YbinSize;
-+
+              ngauss++;
-+
+              subEnergy[i][j] = energy.bins[i][j] - nu;
-+
+            }
-+
+            catch (exception ex) {
-+
+              cerr << "Exception in par_init" << endl;
-+
+            }
-+
+          }
-+
+          else {
-+
+            subEnergy[i][j] = energy.bins[i][j];
-+
+          }
-+
+        }
-+
+      }
-+
-+
+  return subEnergy;
-+
+}
-+
-+
+void JetFitAnalyzer::ModelDefinition::initNewMeanY() {
-+
+  vector< vector<double> > subEnergy = subtractCurrentFit(energy);
-+
-+
+  TH2D *hist_sub = new TH2D("hist_sub", "Subtracted histo",
-+
+                            subEnergy.size(), energy.Xlo,
-+
+                            energy.Xhi,
-+
+                            subEnergy[0].size(), energy.Ylo,
-+
+                            energy.Yhi);
-+
+  fill_histo_with_vec(hist_sub, subEnergy);
-+
+  max_sub = 0.0;
-+
+  max_x = 0.0;
-+
+  max_y = 0.0;
-+
+  for (int i = 1; i <= hist_sub->GetXaxis()->GetNbins(); i++) {
-+
+    for (int j = 1; j <= hist_sub->GetYaxis()->GetNbins(); j++) {
-+
+      double nu = energy.bins[i-1][j-1] - subEnergy[i-1][j-1];
-+
+      if (hist_sub->GetBinContent(i, j)
-+
+          - 3.0*pow(chisquare_error(nu), 2.0) > max_sub) {
-+
+        max_sub = hist_sub->GetBinContent(i, j);
-+
+        max_y = static_cast<double>(j-1)*YbinSize
-+
+          + hist_sub->GetYaxis()->GetXmin();
-+
+      }
-+
+    }
-+
+  }
-+
+  return max_y;
-+
+}
-+
-+
+void JetFitAnalyzer::ModelDefinition::initNewN() {
-+
+  vector< vector<double> > subEnergy = subtractCurrentFit(energy);
-+
-+
+  TH2D *hist_sub = new TH2D("hist_sub", "Subtracted histo",
-+
+                            subEnergy.size(), energy.Xlo,
-+
+                            energy.Xhi,
-+
+                            subEnergy[0].size(), energy.Ylo,
-+
+                            energy.Yhi);
-+
+  fill_histo_with_vec(hist_sub, subEnergy);
-+
+  max_sub = 0.0;
-+
+  max_x = 0.0;
-+
+  max_y = 0.0;
-+
+  for (int i = 1; i <= hist_sub->GetXaxis()->GetNbins(); i++) {
-+
+    for (int j = 1; j <= hist_sub->GetYaxis()->GetNbins(); j++) {
-+
+      double nu = energy.bins[i-1][j-1] - subEnergy[i-1][j-1];
-+
+      if (hist_sub->GetBinContent(i, j)
-+
+          - 3.0*pow(chisquare_error(nu), 2.0) > max_sub) {
-+
+        max_sub = hist_sub->GetBinContent(i, j);
-+
+      }
-+
+    }
-+
+  }
-+
+  return max_sub / XbinSize / YbinSize;
-+
+}
-+
-+
+void JetFitAnalyzer::ModelDefinition::initNewMeanX() {
-+
+  vector< vector<double> > subEnergy = subtractCurrentFit(energy);
-+
-+
+  TH2D *hist_sub = new TH2D("hist_sub", "Subtracted histo",
-+
+                            subEnergy.size(), energy.Xlo,
-+
+                            energy.Xhi,
-+
+                            subEnergy[0].size(), energy.Ylo,
-+
+                            energy.Yhi);
-+
+  fill_histo_with_vec(hist_sub, subEnergy);
-+
+  max_sub = 0.0;
-+
+  max_x = 0.0;
-+
+  max_y = 0.0;
-+
+  for (int i = 1; i <= hist_sub->GetXaxis()->GetNbins(); i++) {
-+
+    for (int j = 1; j <= hist_sub->GetYaxis()->GetNbins(); j++) {
-+
+      double nu = energy.bins[i-1][j-1] - subEnergy[i-1][j-1];
-+
+      if (hist_sub->GetBinContent(i, j)
-+
+          - 3.0*pow(chisquare_error(nu), 2.0) > max_sub) {
-+
+        max_sub = hist_sub->GetBinContent(i, j);
-+
+        max_x = static_cast<double>(i-1)*XbinSize
-+
+          + hist_sub->GetXaxis()->GetXmin();
-+
+      }
-+
+    }
-+
+  }
-+
+  return max_x;
-+
+}
-+
-+
+void JetFitAnalyzer::ModelDefinition::initParsFromModelDef(vector<TString> &pars,
-+
+                                                           double *pval,
-+
+                                                           double *perr,
-+
+                                                           double *plo,
-+
+                                                           double *phi,
-+
+                                                           int npar,
-+
+                                                           FitResults r) {
-+
+  unsigned nIndivPar = getFormula()->GetNpar();
-+
+  for (unsigned i = 0;i < nIndivPar; i++) {
-+
+    get_indiv_par(i, pars[i], pval[i], perr[i], plo[i], phi[i]);
-+
+  }
-+
+}
-+
-+
+void JetFitAnalyzer::ModelDefinition::findInitialValues(vector<TString> &pars,
-+
+                                                        double *pval,
-+
+                                                        double *perr,
-+
+                                                        double *plo,
-+
+                                                        double *phi,
-+
+                                                        int npar) {
-+
-+
+    int npar1 = npar - get_formula()->GetNpar();
-+
+    if (ngauss <= 1) {
-+
+      initParsFromModelDef(pars, pval, perr, plo, phi, npar, r);
-+
+    }
-+
+    else {
-+
+      // try to get good initial parameters without model definitions
-+
+      for (int i = npar1; i < npar; i++) {
-+
+        if (get_indiv_max_E() == i - npar1) {
-+
+          pval[i] = initNewN();
-+
+          perr[i] = mdef->chisquare_error(pval[i])*0.5;
-+
+          plo[i] = 0.0;
-+
+          phi[i] = 1.0e6;
-+
+        }
-+
+        else if (get_indiv_max_x() == i - npar1) {
-+
+          pval[i] = initNewMeanX();
-+
+          perr[i] = (energy.Xhi - energy.Xlo) / static_cast<double>(hist->GetXaxis()->GetNbins());
-+
+          plo[i] = 0.0;
-+
+          phi[i] = 0.0;
-+
+        }
-+
+        else if (get_indiv_max_y() == i - npar1) {
-+
+          pval[i] = initNewMeanY();
-+
+          perr[i] = (energy.Yhi - energy.Ylo) / static_cast<double>(hist->GetYaxis()->GetNbins());
-+
+          plo[i] = 0.0;
-+
+          phi[i] = 0.0;
-+
+        }
-+
+        else {
-+
+          string dummy;
-+
+          get_indiv_par(i-npar1, dummy, pval[i], perr[i], plo[i], phi[i]);
-+
+        }
-+
+      }
-+
+    }
-+
+}
-+
-+
+void JetFitAnalyzer::ModelDefinition::par_init(TH2 *hist, TMinuit *gMinuit, vector<TString> &pars,
-+
+                double *pval, double *perr, double *plo, double *phi,
-+
+                int npar, FitResults r) {
-+
+  findInitialValues(pars, pval, perr, plo, phi, npar, r);
-+
+    for (int i = 0; i < n_pars_to_set; i++) {
-+
+      double dummy;
-+
+      string s;
-+
+      int ipar = i + init_par_to_set;
-+
+      get_indiv_par(i % get_formula()->GetNpar(), s,
-+
+                         dummy, dummy, dummy, dummy);
-+
+      ostringstream par_oss;
-+
+      par_oss << s << ipar / (get_formula()->GetNpar()) << flush;
-+
+      pars.at(ipar) = TString(par_oss.str());
-+
-+
+      int error_flag;
-+
+      gMinuit->mnparm(ipar, pars.at(ipar),
-+
+                      pval[ipar], perr[ipar], plo[ipar], phi[ipar], error_flag);
-+
+    }
-+
+  }
-+
-+
+  FitResults JetFitAnalyzer::fit_histo(TH2 *hist, vector<trouble> &t_vec,
-+
+                               void (*cc_minuit)(TMinuit *, TH2 *, int),
-+
+                               int start_ngauss,
-+
+                               int rebinX, int rebinY,
-+
+                               double P_cutoff_val) {
-+
+    TMinuit *gMinuit = new TMinuit();
-+
+    int npar_indiv = mdef->get_formula()->GetNpar();
-+
+    int istat, erflg;
-+
+    FitResults r;
-+
-+
+    gMinuit->SetFCN(fcn);
-+
+    gMinuit->mninit(5, 6, 7);
-+
-+
+    // set error def and machine accuracy
-+
+    double cs_err_def = 1.0;
-+
+    double fcn_eps = 0.2;
-+
+    gMinuit->mnexcm("SET ERR", &cs_err_def, 1, erflg);
-+
+    gMinuit->mnexcm("SET EPS", &fcn_eps, 1, erflg);
-+
-+
+    // rebin histogram
-+
+    TH2 *hist_rebinned;
-+
+    if (rebinX_ > 1 && rebinY_ > 1)
-+
+      hist_rebinned = hist->Rebin2D(rebinX_, rebinY_);
-+
+    else
-+
+      hist_rebinned = hist;
-+
-+
+    r.hist_rebinned = hist_rebinned;
-+
+    // load histogram into energies vector
-+
+    energy.bins.resize(hist_rebinned->GetXaxis()->GetNbins());
-+
+    for (int i = 0; i < energy.bins.size(); i++) {
-+
+      energy.bins[i].resize(hist_rebinned->GetYaxis()->GetNbins());
-+
+      for (int j = 0; j < energy.bins[i].size(); j++) {
-+
+        energy.bins[i][j] = hist_rebinned->GetBinContent(i+1, j+1);
-+
+      }
-+
+    }
-+
-+
+    energy.Xlo = hist->GetXaxis()->GetXmin();
-+
+    energy.Xhi = hist->GetXaxis()->GetXmax();
-+
+    energy.Ylo = hist->GetYaxis()->GetXmin();
-+
+    energy.Yhi = hist->GetYaxis()->GetXmax();
-+
-+
+    if (start_ngauss < 1) {
-+
+      start_ngauss = 1;
-+
+    }
-+
-+
+    for (mdef->set_ngauss(start_ngauss);
-+
+         mdef->get_ngauss() <=
-+
+           (MAX_GAUSS > start_ngauss ? MAX_GAUSS : start_ngauss);
-+
+         mdef->set_ngauss(mdef->get_ngauss()+1)) {
-+
-+
+      int ngauss = mdef->get_ngauss();
-+
+      t_vec.resize(t_vec.size() + 1);
-+
+      int npar = npar_indiv*mdef->get_ngauss();
-+
+      double pval[256], perr[256], plo[256], phi[256];
-+
+      if (npar > 256) {
-+
+        cerr << "Parameter overload" << endl;
-+
+        return r;
-+
+      }
-+
+      vector<TString> pars(npar);
-+
-+
+      // initialize parameters
-+
+      mdef->par_init(hist, gMinuit, pars, pval, perr, plo, phi, npar, r);
-+
-+
+      // minimize
-+
+      double chisquare, edm, errdef;
-+
+      int nvpar, nparx;
-+
+      trouble t;
-+
+      t.occ = T_NULL;
-+
+      t.istat = 3;
-+
+      // fix sigmas of the Gaussians
-+
+      for (int i = 0; i < ngauss; i++) {
-+
+        double parno[2];
-+
+        parno[0] = i*npar_indiv + 4;
-+
+        gMinuit->mnexcm("FIX", parno, 1, erflg);
-+
+      }
-+
+      gMinuit->mnexcm("SIMPLEX", 0, 0, erflg);
-+
+      gMinuit->mnexcm("MIGRAD", 0, 0, erflg);
-+
+      gMinuit->mnstat(chisquare, edm, errdef, nvpar, nparx, istat);
-+
+      if (istat == 3) {
-+
+        /* we're not concerned about MINOS errors right now
-+
+        gMinuit->mnexcm("MINOS", 0, 0, erflg);
-+
+        gMinuit->mnstat(chisquare, edm, errdef, nvpar, nparx, istat);
-+
+        if (istat != 3) {
-+
+          t.occ = T_MINOS;
-+
+          t.istat = istat;
-+
+        }
-+
+        */
-+
+      }
-+
+      else {
-+
+        t.occ = T_MIGRAD;
-+
+        t.istat = istat;
-+
+      }
-+
-+
+      try {
-+
+        if (t_vec.size() < ngauss) {
-+
+          t_vec.resize(ngauss);
-+
+        }
-+
+        t_vec.at(ngauss-1) = t;
-+
+      }
-+
+      catch (exception ex) {
-+
+        cerr << "exception in fit_histo" << endl;
-+
+      }
-+
-+
+      // put parameters in map
-+
+      for (int i = 0; i < npar && i < 256; i++) {
-+
+        int iuint; // internal parameter number
-+
+        gMinuit->mnpout(i, pars[i], pval[i], perr[i], plo[i], phi[i], iuint);
-+
+      }
-+
+      vector<double> pval_copy(npar);
-+
+      vector<double> perr_copy(npar);
-+
+      vector<double> plo_copy(npar);
-+
+      vector<double> phi_copy(npar);
-+
+      for (int i = 0; i < npar && i < 256; i++) {
-+
+        pval_copy[i] = pval[i];
-+
+        perr_copy[i] = perr[i];
-+
+        plo_copy[i] = plo[i];
-+
+        phi_copy[i] = phi[i];
-+
+      }
-+
+      r.pars.push_back(pars);
-+
+      r.pval.push_back(pval_copy);
-+
+      r.perr.push_back(perr_copy);
-+
+      r.plo.push_back(plo_copy);
-+
+      r.phi.push_back(phi_copy);
-+
-+
+      // execute user minuit code
-+
+      if (cc_minuit != 0)
-+
+        (*cc_minuit)(gMinuit, hist_rebinned, ngauss);
-+
-+
+      int ndof = 0;
-+
+      if (!ignorezero)
-+
+        ndof = energy.bins.size() * energy.bins[0].size();
-+
+      else {
-+
+        for (int i = 0; i < energy.bins.size(); i++) {
-+
+          for (int j = 0; j < energy.bins[i].size(); j++) {
-+
+            if (energy.bins[i][j] > 1.0e-30)
-+
+              ndof++;
-+
+          }
-+
+        }
-+
+      }
-+
+      ndof -= npar;
-+
-+
+      r.chisquare.push_back(chisquare);
-+
+      double P = TMath::Prob(chisquare, ndof);
-+
+      if (P > P_cutoff_val) {
-+
+        break;
-+
+      }
-+
+    }
-+
-+
+    delete gMinuit;
-+
+    return r;
-+
+  }
+JetFitAnalyzer::JetFitAnalyzer(const edm::ParameterSet& iConfig)
+  : user_minuit(0)
+   using namespace edm;
-<
+   jetfit::results r; std::vector<jetfit::trouble> t;
->
+   std::vector<jetfit::trouble> t;
+   TH2D *histo = make_histo(iEvent, iSetup);
+   if (histo != 0) {
-<
+     jetfit::model_def &_mdef = make_model_def(iEvent, iSetup, histo);
-<
+     jetfit::set_model_def(&_mdef);
-<
+     r = jetfit::fit_histo(histo, t, user_minuit, _mdef.get_n_special_par_sets(),
-<
+                           rebinX_, rebinY_, P_cutoff_val_);
->
+     jetfit::ModelDefinition &_mdef = make_model_def(iEvent, iSetup, histo);
->
+     jetfit::results r(fit_histo(histo, t, user_minuit,
->
+                                 _mdef.get_n_special_par_sets(),
->
+                                 rebinX_, rebinY_, P_cutoff_val_));
+     analyze_results(r, t, histo);
+   else {

Diff Legend

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+Removed lines
-+
+Added lines
-<
+Changed lines
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+Changed lines

Comparing UserCode/JetFitAnalyzer/src/JetFitAnalyzer.cc (file contents): Revision 1.3 by dnisson, Wed Oct 14 03:09:38 2009 UTC vs. Revision 1.8 by dnisson, Mon Nov 23 04:00:09 2009 UTC

Diff Legend

Comparing UserCode/JetFitAnalyzer/src/JetFitAnalyzer.cc (file contents):
Revision 1.3 by dnisson, Wed Oct 14 03:09:38 2009 UTC vs.
Revision 1.8 by dnisson, Mon Nov 23 04:00:09 2009 UTC