TFCS1DFunction.cxx

Go to the documentation of this file.

/*
  Copyright (C) 2002-2026 CERN for the benefit of the ATLAS collaboration
*/
 
#include "ISF_FastCaloSimEvent/TFCS1DFunction.h"
 
#include "TH1.h"
#include "TCanvas.h"
#include "TRandom.h"
#include <string>
#include <iostream>
#include <cmath>
 
//=============================================
//======= TFCS1DFunction =========
//=============================================
 
void TFCS1DFunction::rnd_to_fct(float value[], const float rnd[]) const {
  value[0] = rnd_to_fct(rnd[0]);
}
 
double TFCS1DFunction::get_maxdev(TH1 *h_input1, TH1 *h_approx1) {
  TH1D *h_input = (TH1D *)h_input1->Clone("h_input");
  TH1D *h_approx = (TH1D *)h_approx1->Clone("h_approx");
 
  double maxdev = 0.0;
 
  // normalize the histos to the same area:
  double integral_input = h_input->Integral();
  double integral_approx = 0.0;
  for (int b = 1; b <= h_input->GetNbinsX(); b++){
    integral_approx +=
        h_approx->GetBinContent(h_approx->FindBin(h_input->GetBinCenter(b)));
  }
  if (integral_approx == 0.0)  return 0.;
  h_approx->Scale(integral_input / integral_approx);
 
  double ymax = h_approx->GetBinContent(h_approx->GetNbinsX()) -
                h_approx->GetBinContent(h_approx->GetMinimumBin());
  for (int i = 1; i <= h_input->GetNbinsX(); i++) {
    double val = std::abs(h_approx->GetBinContent(
                          h_approx->FindBin(h_input->GetBinCenter(i))) -
                      h_input->GetBinContent(i)) /
                 ymax;
    if (val > maxdev)
      maxdev = val;
  }
 
  delete h_input;
  delete h_approx;
 
  return maxdev * 100.0;
}
 
double TFCS1DFunction::CheckAndIntegrate1DHistogram(
    const TH1 *hist, std::vector<double> &integral_vec, int &first, int &last) {
  ISF_FCS::MLogging logger;
  Int_t nbins = hist->GetNbinsX();
 
  float integral = 0;
  integral_vec.resize(nbins);
  for (int ix = 1; ix <= nbins; ix++) {
    float binval = hist->GetBinContent(ix);
    if (binval < 0) {
      // Can't work if a bin is negative, forcing bins to 0 in this case
      double fraction = binval / hist->Integral();
      if (std::abs(fraction) > 1e-5) {
        ATH_MSG_NOCLASS(logger, "Warning: bin content is negative in histogram "
                                    << hist->GetName() << " : "
                                    << hist->GetTitle() << " binval=" << binval
                                    << " " << fraction * 100
                                    << "% of integral=" << hist->Integral()
                                    << ". Forcing bin to 0.");
      }
      binval = 0;
    }
    integral += binval;
    integral_vec[ix - 1] = integral;
  }
 
  for (first = 0; first < nbins; first++)
    if (integral_vec[first] != 0)
      break;
  for (last = nbins - 1; last > 0; last--)
    if (integral_vec[last] != integral)
      break;
  last++;
 
  if (integral <= 0) {
    ATH_MSG_NOCLASS(logger, "Error: histogram "
                                << hist->GetName() << " : " << hist->GetTitle()
                                << " integral=" << integral << " is <=0");
  }
  return integral;
}
 
TH1 *TFCS1DFunction::generate_histogram_random_slope
ATLAS_NOT_THREAD_SAFE(int nbinsx, double xmin, double xmax,
                      double zerothreshold) {
  TH1 *hist = new TH1D("test_slope1D", "test_slope1D", nbinsx, xmin, xmax);
  hist->Sumw2();
  for (int ix = 1; ix <= nbinsx; ++ix) {
    double val = (0.5 + gRandom->Rndm()) * (nbinsx + ix);
    if (gRandom->Rndm() < zerothreshold)
      val = 0;
    hist->SetBinContent(ix, val);
    hist->SetBinError(ix, 0);
  }
  return hist;
}
 
TH1 *TFCS1DFunction::generate_histogram_random_gauss
ATLAS_NOT_THREAD_SAFE(int nbinsx, int ntoy, double xmin, double xmax,
                      double xpeak, double sigma) {
  TH1 *hist = new TH1D("test_gauss1D", "test_gauss1D", nbinsx, xmin, xmax);
  hist->Sumw2();
  for (int i = 1; i <= ntoy; ++i) {
    double x = gRandom->Gaus(xpeak, sigma);
    if (x >= xmin && x < xmax)
      hist->Fill(x);
  }
  return hist;
}
 
void TFCS1DFunction::unit_test ATLAS_NOT_THREAD_SAFE(TH1 *hist,
                                                     TFCS1DFunction *rtof,
                                                     int nrnd, TH1 *histfine) {
  ISF_FCS::MLogging logger;
  ATH_MSG_NOCLASS(logger, "========= " << hist->GetName() << " funcsize="
                                       << rtof->MemorySize() << " ========");
  int nbinsx = hist->GetNbinsX();
  double integral = hist->Integral();
 
  float value[2];
  float rnd[2];
  //cppcheck-suppress uninitvar
  for (rnd[0] = 0; rnd[0] < 0.9999; rnd[0] += 0.25) {
    rtof->rnd_to_fct(value, rnd);
    ATH_MSG_NOCLASS(logger, "rnd0=" << rnd[0] << " -> x=" << value[0]);
  }
 
  TH1 *hist_val = nullptr;
  if (histfine)
    hist_val = (TH1 *)histfine->Clone(TString(hist->GetName()) + "hist_val");
  else
    hist_val = (TH1 *)hist->Clone(TString(hist->GetName()) + "hist_val");
  double weightfine = hist_val->Integral() / nrnd;
  hist_val->SetTitle("toy simulation");
  hist_val->Reset();
  hist_val->SetLineColor(2);
  hist_val->Sumw2();
 
  TH1 *hist_diff = (TH1 *)hist->Clone(TString(hist->GetName()) + "_difference");
  hist_diff->SetTitle("cut efficiency difference");
  hist_diff->Reset();
  hist_diff->Sumw2();
 
  double weight = integral / nrnd;
  for (int i = 0; i < nrnd; ++i) {
    rnd[0] = gRandom->Rndm();
    rtof->rnd_to_fct(value, rnd);
    hist_val->Fill(value[0], weightfine);
    hist_diff->Fill(value[0], weight);
  }
  hist_diff->Add(hist, -1);
  hist_diff->Scale(1.0 / integral);
 
  TH1F *hist_pull =
      new TH1F(TString(hist->GetName()) + "_pull", "pull", 200, -10, 10);
  for (int ix = 1; ix <= nbinsx; ++ix) {
    float val = hist_diff->GetBinContent(ix);
    float err = hist_diff->GetBinError(ix);
    if (err > 0)
      hist_pull->Fill(val / err);
  }
 
// Screen output in athena won't make sense and would require linking of
// additional libraries
#if defined(__FastCaloSimStandAlone__)
  TCanvas *c = new TCanvas(hist->GetName(), hist->GetName());
  c->Divide(2, 2);
 
  c->cd(1);
  if (histfine) {
    histfine->SetLineColor(kGray);
    histfine->DrawClone("hist");
    hist->DrawClone("same");
  } else {
    hist->DrawClone();
  }
  hist_val->DrawClone("sameshist");
 
  c->cd(2);
  if (histfine) {
    histfine->SetLineColor(kGray);
    histfine->DrawClone("hist");
    hist->DrawClone("same");
  } else {
    hist->DrawClone();
  }
  hist_val->DrawClone("sameshist");
  gPad->SetLogy();
 
  c->cd(3);
  hist_diff->Draw();
 
  c->cd(4);
  hist_pull->Draw();
 
  c->SaveAs(".png");
#endif
}