#include <DTMeanTimerFitter.h>

Public Member Functions
	DTMeanTimerFitter (TFile *file)
	Constructor. More...

std::vector< float >	evaluateVDriftAndReso (const TString &N)
	Fit the TMax histos and evaluate VDrift and resolution. More...

TF1 *	fitTMax (TH1F *histo)
	Really do the fit. More...

void	setVerbosity (unsigned int lvl)
	Set the verbosity of the output: 0 = silent, 1 = info, 2 = debug. More...

virtual	~DTMeanTimerFitter ()
	Destructor. More...

Private Attributes
TFile *	hDebugFile

TFile *	hInputFile

unsigned int	theVerbosityLevel

Detailed Description

Fit the Tmax histograms with a gaussian returning the mean values and the sigmas.

Author: S. Bolognesi - INFN Torino

Definition at line 17 of file DTMeanTimerFitter.h.

Constructor & Destructor Documentation

◆ DTMeanTimerFitter()

DTMeanTimerFitter::DTMeanTimerFitter ( TFile * file )

Constructor.

Definition at line 21 of file DTMeanTimerFitter.cc.

                                                 : hInputFile(file), theVerbosityLevel(0) {
   //hInputFile = new TFile("DTTMaxHistos.root", "READ");
   hDebugFile = new TFile("DTMeanTimerFitter.root", "RECREATE");
 }

References hDebugFile.

◆ ~DTMeanTimerFitter()

DTMeanTimerFitter::~DTMeanTimerFitter ( )

virtual

Destructor.

Definition at line 26 of file DTMeanTimerFitter.cc.

26 { hDebugFile->Close(); }

References hDebugFile.

Member Function Documentation

◆ evaluateVDriftAndReso()

vector< float > DTMeanTimerFitter::evaluateVDriftAndReso ( const TString & N )

Fit the TMax histos and evaluate VDrift and resolution.

Definition at line 28 of file DTMeanTimerFitter.cc.

                                                                        {
   // Retrieve histogram sets
   hTMaxCell *histos = new hTMaxCell(N, hInputFile);
   vector<float> vDriftAndReso;
  
   // Check that the histo for this cell exists
   if (histos->hTmax123 != nullptr) {
     vector<TH1F *> hTMax;  // histograms for <T_max> calculation
     vector<TH1F *> hT0;    // histograms for T0 evaluation
     hTMax.push_back(histos->hTmax123);
     hTMax.push_back(histos->hTmax124s72);
     hTMax.push_back(histos->hTmax124s78);
     hTMax.push_back(histos->hTmax134s72);
     hTMax.push_back(histos->hTmax134s78);
     hTMax.push_back(histos->hTmax234);
  
     hT0.push_back(histos->hTmax_3t0);
     hT0.push_back(histos->hTmax_2t0);
     hT0.push_back(histos->hTmax_t0);
     hT0.push_back(histos->hTmax_0);
  
     vector<Double_t> factor;          // factor relating the width of the Tmax distribution
                                       // and the cell resolution
     factor.push_back(sqrt(2. / 3.));  // hTmax123
     factor.push_back(sqrt(2. / 7.));  // hTmax124s72
     factor.push_back(sqrt(8. / 7.));  // hTmax124s78
     factor.push_back(sqrt(2. / 7.));  // hTmax134s72
     factor.push_back(sqrt(8. / 7.));  // hTmax134s78
     factor.push_back(sqrt(2. / 3.));  // hTmax234
  
     // Retrieve the gaussian mean and sigma for each TMax histogram
     vector<Double_t> mean;
     vector<Double_t> sigma;
     vector<Double_t> count;  //number of entries
  
     for (vector<TH1F *>::const_iterator ith = hTMax.begin(); ith != hTMax.end(); ++ith) {
       TF1 *funct = fitTMax(*ith);
       if (!funct) {
         edm::LogError("DTMeanTimerFitter") << "Error when fitting TMax..histogram name" << (*ith)->GetName();
         // return empty or -1 filled vector?
         vector<float> defvec(6, -1);
         return defvec;
       }
       hDebugFile->cd();
       (*ith)->Write();
  
       // Get mean, sigma and number of entries of each histogram
       mean.push_back(funct->GetParameter(1));
       sigma.push_back(funct->GetParameter(2));
       count.push_back((*ith)->GetEntries());
     }
  
     Double_t tMaxMean = 0.;
     Double_t wTMaxSum = 0.;
     Double_t sigmaT = 0.;
     Double_t wSigmaSum = 0.;
  
     //calculate total mean and sigma
     for (int i = 0; i <= 5; i++) {
       if (count[i] < 200)
         continue;
       tMaxMean += mean[i] * (count[i] / (sigma[i] * sigma[i]));
       wTMaxSum += count[i] / (sigma[i] * sigma[i]);
       sigmaT += count[i] * factor[i] * sigma[i];
       wSigmaSum += count[i];
       // cout << "TMaxMean "<<i<<": "<< mean[i] << " entries: " << count[i]
       // << " sigma: " << sigma[i]
       // << " weight: " << (count[i]/(sigma[i]*sigma[i])) << endl;
     }
     if ((!wTMaxSum) || (!wSigmaSum)) {
       edm::LogError("DTMeanTimerFitter") << "Error zero sum of weights..returning default";
       vector<float> defvec(6, -1);
       return defvec;
     }
  
     tMaxMean /= wTMaxSum;
     sigmaT /= wSigmaSum;
  
     //calculate v_drift and resolution
     Double_t vDrift = 2.1 / tMaxMean;  //2.1 is the half cell length in cm
     Double_t reso = vDrift * sigmaT;
     vDriftAndReso.push_back(vDrift);
     vDriftAndReso.push_back(reso);
     //if(theVerbosityLevel >= 1)
     edm::LogVerbatim("DTMeanTimerFitter")
         << " final TMaxMean=" << tMaxMean << " sigma= " << sigmaT << " v_d and reso: " << vDrift << " " << reso << endl;
  
     // Order t0 histogram by number of entries (choose histograms with higher nr. of entries)
     map<Double_t, TH1F *> hEntries;
     for (vector<TH1F *>::const_iterator ith = hT0.begin(); ith != hT0.end(); ++ith) {
       hEntries[(*ith)->GetEntries()] = (*ith);
     }
  
     // add at the end of hT0 the two hists with the higher number of entries
     int counter = 0;
     for (map<Double_t, TH1F *>::reverse_iterator iter = hEntries.rbegin(); iter != hEntries.rend(); ++iter) {
       counter++;
       if (counter == 1)
         hT0.push_back(iter->second);
       else if (counter == 2) {
         hT0.push_back(iter->second);
         break;
       }
     }
  
     // Retrieve the gaussian mean and sigma of histograms for Delta(t0) evaluation
     vector<Double_t> meanT0;
     vector<Double_t> sigmaT0;
     vector<Double_t> countT0;
  
     for (vector<TH1F *>::const_iterator ith = hT0.begin(); ith != hT0.end(); ++ith) {
       try {
         (*ith)->Fit("gaus");
       } catch (std::exception const &) {
         edm::LogError("DTMeanTimerFitter") << "Exception when fitting T0..histogram " << (*ith)->GetName();
         // return empty or -1 filled vector?
         vector<float> defvec(6, -1);
         return defvec;
       }
       TF1 *f1 = (*ith)->GetFunction("gaus");
       // Get mean, sigma and number of entries of the  histograms
       meanT0.push_back(f1->GetParameter(1));
       sigmaT0.push_back(f1->GetParameter(2));
       countT0.push_back((*ith)->GetEntries());
     }
     //calculate Delta(t0)
     if (hT0.size() != 6) {  // check if you have all the t0 hists
       edm::LogVerbatim("DTMeanTimerFitter") << "t0 histograms = " << hT0.size();
       for (int i = 1; i <= 4; i++) {
         vDriftAndReso.push_back(-1);
       }
       return vDriftAndReso;
     }
  
     for (int it0 = 0; it0 <= 2; it0++) {
       if ((countT0[it0] > 200) && (countT0[it0 + 1] > 200)) {
         Double_t deltaT0 = meanT0[it0] - meanT0[it0 + 1];
         vDriftAndReso.push_back(deltaT0);
       } else
         vDriftAndReso.push_back(999.);
     }
     //deltat0 using hists with max nr. of entries
     if ((countT0[4] > 200) && (countT0[5] > 200)) {
       Double_t t0Diff = histos->GetT0Factor(hT0[4]) - histos->GetT0Factor(hT0[5]);
       Double_t deltaT0MaxEntries = (meanT0[4] - meanT0[5]) / t0Diff;
       vDriftAndReso.push_back(deltaT0MaxEntries);
     } else
       vDriftAndReso.push_back(999.);
   } else {
     for (int i = 1; i <= 6; i++) {
       // 0=vdrift, 1=reso,  2=(3deltat0-2deltat0), 3=(2deltat0-1deltat0),
       // 4=(1deltat0-0deltat0), 5=deltat0 from hists with max entries,
       vDriftAndReso.push_back(-1);
     }
   }
   return vDriftAndReso;
 }

References KineDebug3::count(), cppFunctionSkipper::exception, DeadROC_duringRun::f1, DQMScaleToClient_cfi::factor, fitTMax(), hDebugFile, hInputFile, combine::histos, mps_fire::i, SiStripPI::mean, N, mathSSE::sqrt(), and tools::TF1.

◆ fitTMax()

TF1 * DTMeanTimerFitter::fitTMax ( TH1F * histo )

Really do the fit.

Definition at line 186 of file DTMeanTimerFitter.cc.

                                            {
   // Find distribution peak and fit range
   Double_t peak = (((((histo->GetXaxis())->GetXmax()) - ((histo->GetXaxis())->GetXmin())) / histo->GetNbinsX()) *
                    (histo->GetMaximumBin())) +
                   ((histo->GetXaxis())->GetXmin());
   //if(theVerbosityLevel >= 1)
   LogDebug("DTMeanTimerFitter") << "Peak " << peak << " : "
                                 << "xmax " << ((histo->GetXaxis())->GetXmax()) << "            xmin "
                                 << ((histo->GetXaxis())->GetXmin()) << "            nbin " << histo->GetNbinsX()
                                 << "            bin with max " << (histo->GetMaximumBin());
   Double_t range = 2. * histo->GetRMS();
  
   // Fit each Tmax histogram with a Gaussian in a restricted interval
   TF1 *rGaus = new TF1("rGaus", "gaus", peak - range, peak + range);
   rGaus->SetMarkerSize();  // just silence gcc complainining about unused var
   try {
     histo->Fit("rGaus", "R");
   } catch (std::exception const &) {
     edm::LogError("DTMeanTimerFitter") << "Exception when fitting TMax..histogram " << histo->GetName()
                                        << "   setting return function pointer to zero";
     return nullptr;
   }
   TF1 *f1 = histo->GetFunction("rGaus");
   return f1;
 }