C++ TSpectrum::GetPositionX方法代码示例

void draw_ToF_Calib_Tower() {

  ofstream fout("ToF_Calib_Tower.txt");
  TFile* f = new TFile("/phenix/plhf/zji/taxi/Run13pp510MinBias/8328/data/total.root");
  TH2I* h_hitmap_tof_energy_PbSc = (TH2I*)f->Get("hitmap_tof_energy_PbSc");
  TH2I* h_hitmap_tof_energy_PbGl = (TH2I*)f->Get("hitmap_tof_energy_PbGl");
  TH2I* h_hitmap_tof_tower = (TH2I*)f->Get("hitmap_tof_tower");

  TCanvas* c = new TCanvas("c", "Canvas", 1800, 600);
  gStyle->SetOptStat(1);
  gStyle->SetOptFit(1);
  c->Divide(3,1);

  c->cd(1);
  h_hitmap_tof_energy_PbSc->Draw("colz");

  c->cd(2);
  h_hitmap_tof_energy_PbGl->Draw("colz");

  c->cd(3);
  fout << "towerid    ToF peak" << endl; 
  for(Int_t id=0; id<25000; id++) {
    TH1D* hp_hitmap_tof_tower = (TH1D*)h_hitmap_tof_tower->ProjectionY("_py",id+1,id+1);
    TSpectrum* peak = new TSpectrum();
    Int_t nfound = peak->Search(hp_hitmap_tof_tower,2.,"nodraw");
    if(nfound) {
      Float_t peakX = *peak->GetPositionX();
      hp_hitmap_tof_tower->Fit("gaus","Q0","",peakX-3.,peakX+3.);
      TF1* f_hitmap_tof_tower = hp_hitmap_tof_tower->GetFunction("gaus");
      Double_t mean_hitmap_tof_tower = f_hitmap_tof_tower->GetParameter(1);
      fout << id << "    " << mean_hitmap_tof_tower << endl;
      f_hitmap_tof_tower->Delete();
    }
    else {
      fout << id << "    " << "-100." << endl;
    }
    delete peak;
    hp_hitmap_tof_tower->Delete();
  }
  fout.close();

  TH1D* hp_hitmap_tof_tower = (TH1D*)h_hitmap_tof_tower->ProjectionY("_py",100,100);
  TSpectrum* peak = new TSpectrum();
  peak->Search(hp_hitmap_tof_tower,2.,"nodraw");
  Float_t peakX = *peak->GetPositionX();
  hp_hitmap_tof_tower->Fit("gaus","","",peakX-3.,peakX+3.);
  TF1* f_hitmap_tof_tower = hp_hitmap_tof_tower->GetFunction("gaus");
  Double_t mean_hitmap_tof_tower = f_hitmap_tof_tower->GetParameter(1);
  cout << "peakX=" << peakX << endl;
  cout << "ToF mean=" << mean_hitmap_tof_tower << endl;

  c->Print("ToF_Calib_Tower.pdf");

}

//Given an input histogram and TSpectrum returns a numeric value based on the input keyword; supported keywords are "AMPLITUDE,MEAN,PEAK,SIGMA"
float AnalyzeResponseUniformity::getValByKeyword(string strInputKeyword, shared_ptr<TH1F> hInput, TSpectrum &specInput){
    
    //Try to automatically assign a value
    if (0 == strInputKeyword.compare("AMPLITUDE") ) { //Case: Histo Amplitude
        return hInput->GetBinContent( hInput->GetMaximumBin() );
    } //End Case: Histo Amplitude
    else if (0 == strInputKeyword.compare("MEAN") ) { //Case: Histo Mean
        return hInput->GetMean();
    } //End Case: Histo Mean
    else if ( 0 == strInputKeyword.compare("PEAK") ){ //Case: Histo Peak
        Double_t *dPeakPos = specInput.GetPositionX();
        
        return dPeakPos[0];
    } //End Case: Histo Peak
    else if (0 == strInputKeyword.compare("SIGMA") ) { //Case: Histo RMS
        return hInput->GetRMS();
    } //End Case: Histo RMS
    else{ //Case: manual assignment
        printClassMethodMsg("AnalyzeResponseUniformity","getValByKeyword","Error! Input Keyword Not Recognized");
        printClassMethodMsg("AnalyzeResponseUniformity","getValByKeyword", ("\tGiven: " + strInputKeyword ).c_str() );
        printClassMethodMsg("AnalyzeResponseUniformity","getValByKeyword","\tRecognized Keywords:\n");
        
        for (int i=0; i < vec_strSupportedKeywords.size(); ++i) {
            printClassMethodMsg("AnalyzeResponseUniformity","getValByKeyword", vec_strSupportedKeywords[i].c_str() );
        }
        
        printClassMethodMsg("AnalyzeResponseUniformity","getValByKeyword","\tUndefined Behavior May Occur");
        
        return -1e12;
    } //End Case: manual assignment
} //End AnalyzeResponseUniformity::getValByKeyword()

TGraph* autogain152(TH1 *hist) {

   hist->GetXaxis()->SetRangeUser(200.,16000.);
   TSpectrum *s = new TSpectrum();
   Int_t nfound = s->Search(hist,6,"",0.08); //This will be dependent on the source used.
   printf("Found %d candidate peaks to fit\n",nfound);
   if(nfound > 6)
      nfound = 6;

   std::vector<float> vec;
   for(int x=0;x<nfound;x++)
      vec.push_back(s->GetPositionX()[x]);

   std::sort(vec.begin(),vec.end());

   Float_t energies[] = {121.7830, 244.6920, 344.276, 778.903, 964.131, 1408.011};
   TGraph* slopefit = new TGraph(nfound, &(vec[0]), energies);

   printf("Now fitting: Be patient\n");
   slopefit->Fit("pol1");
   if(slopefit->GetFunction("pol1")->GetChisquare() > 10.) {
      slopefit->RemovePoint(slopefit->GetN()-1);
      slopefit->Fit("pol1");
   }
   TChannel *chan = 0;
   slopefit->Draw("AC*");

   return slopefit;
}

int e428ana1::MakePara(Double_t thr){
    int npeak,nlap;
    double threshol,thrmin,thrmax;
    TSpectrum *spec;
    for (int i=0; i<4; i++) {
        for (int j=0; j<127; j++) {
            npeak=0;nlap=0;
            threshol=thr;
            thrmax=1;thrmin=0;
            while (npeak!=4 && nlap<100){
                spec = new TSpectrum(10);
                npeak = spec->Search(hdssd[i][j],2,"",threshol);
                if (npeak >3) {
                    thrmin=threshol;
                }else thrmax=threshol;
                threshol=(thrmax-thrmin)/2;
                nlap++;
        //        printf("Npeak   %d   %d    %d    %f\n",i,j,npeak,threshol);
            }
            float *xpeak=spec->GetPositionX();
            float *ypeak=spec->GetPositionY();
            printf("Npeak   %d   %d    %d",i,j,npeak);
            for (int i1=0; i1<npeak; i1++) {
                printf("    %f   %f",xpeak[i1],ypeak[i1]);
            }
            printf("\n");
        }
    }    
    return 0;
}

void peaks(Int_t np=10) {
   npeaks = TMath::Abs(np);
   TH1F *h = new TH1F("h","test",500,0,1000);
   //generate n peaks at random
   Double_t par[3000];
   par[0] = 0.8;
   par[1] = -0.6/1000;
   Int_t p;
   for (p=0;p<npeaks;p++) {
      par[3*p+2] = 1;
      par[3*p+3] = 10+gRandom->Rndm()*980;
      par[3*p+4] = 3+2*gRandom->Rndm();
   }
   TF1 *f = new TF1("f",fpeaks,0,1000,2+3*npeaks);
   f->SetNpx(1000);
   f->SetParameters(par);
   TCanvas *c1 = new TCanvas("c1","c1",10,10,1000,900);
   c1->Divide(1,2);
   c1->cd(1);
   h->FillRandom("f",200000);
   h->Draw();
   TH1F *h2 = (TH1F*)h->Clone("h2");
   //Use TSpectrum to find the peak candidates
   TSpectrum *s = new TSpectrum(2*npeaks);
   Int_t nfound = s->Search(h,2,"",0.10);
   printf("Found %d candidate peaks to fit\n",nfound);
   //Estimate background using TSpectrum::Background
   TH1 *hb = s->Background(h,20,"same");
   if (hb) c1->Update();
   if (np <0) return;

   //estimate linear background using a fitting method
   c1->cd(2);
   TF1 *fline = new TF1("fline","pol1",0,1000);
   h->Fit("fline","qn");
   //Loop on all found peaks. Eliminate peaks at the background level
   par[0] = fline->GetParameter(0);
   par[1] = fline->GetParameter(1);
   npeaks = 0;
   Double_t *xpeaks = s->GetPositionX();
   for (p=0;p<nfound;p++) {
      Double_t xp = xpeaks[p];
      Int_t bin = h->GetXaxis()->FindBin(xp);
      Double_t yp = h->GetBinContent(bin);
      if (yp-TMath::Sqrt(yp) < fline->Eval(xp)) continue;
      par[3*npeaks+2] = yp;
      par[3*npeaks+3] = xp;
      par[3*npeaks+4] = 3;
      npeaks++;
   }
   printf("Found %d useful peaks to fit\n",npeaks);
   printf("Now fitting: Be patient\n");
   TF1 *fit = new TF1("fit",fpeaks,0,1000,2+3*npeaks);
   //we may have more than the default 25 parameters
   TVirtualFitter::Fitter(h2,10+3*npeaks);
   fit->SetParameters(par);
   fit->SetNpx(1000);
   h2->Fit("fit");
}

TGraph* autogain(TH1 *hist,TNucleus *nuc) {    //Display The fits on a TPad  

   if(!hist || !nuc)
      return 0;

   nuc->SetSourceData();

   if(nuc->GetA() == 152) {
      return autogain152(hist);
   }

// Search
   hist->GetXaxis()->SetRangeUser(200.,16000.);
   TSpectrum *s = new TSpectrum();
   Int_t nfound = s->Search(hist,6,"",0.1); //This will be dependent on the source used.
   printf("Found %d candidate peaks to fit\n",nfound);
// Match

   nuc->TransitionList.Sort();

   std::vector<float> engvec;
   TIter iter(&(nuc->TransitionList));
   TObject* obj;
   while(obj = iter.Next()) {
      if(!obj->InheritsFrom("TGRSITransition"))
         continue;
      TGRSITransition *tran = (TGRSITransition*)obj;

      engvec.push_back(static_cast<float>(tran->energy));
      if(engvec.size() == nfound)
         break;
   }

   if(nfound != engvec.size())
      return 0;

   Float_t *posPeaks = s->GetPositionX();
   Float_t *energies = &(engvec[0]);

   for(int x=0;x<nfound;x++) {
      printf("posPeaks[%i] = %f\t\tenrgies[%i] = %f\n",x,posPeaks[x],x,energies[x]);
   }

   TGraph *slopefit = new TGraph(nfound,posPeaks,energies ); 

   printf("Now fitting: Be patient\n");
   slopefit->Fit("pol1");
   slopefit->Draw("AC*");

   return slopefit;

}

//______________________________________________________________________________
void Fit(Int_t run)
{
    // Perform fit.
    
    Char_t tmp[256];
    
    // delete old function
    if (gFitFunc) delete gFitFunc;

    // create fitting function
    if (gFitFunc) delete gFitFunc;
    sprintf(tmp, "fGauss_%d", run);
    gFitFunc = new TF1(tmp, "expo(0)+gaus(2)");
    gFitFunc->SetLineColor(2);
    
    // estimate peak position
    TSpectrum s;
    s.Search(gH, 10, "goff nobackground", 0.05);
    Double_t peak = TMath::MaxElement(s.GetNPeaks(), s.GetPositionX());
    
    // prepare fitting function
    gFitFunc->SetRange(gMin, gMax);
    gFitFunc->SetParameter(2, gH->GetXaxis()->FindBin(peak));
    gFitFunc->SetParLimits(2, 0, 100000);
    gFitFunc->SetParameter(3, peak);
    gFitFunc->SetParameter(4, 20);
    gFitFunc->SetParLimits(4, 18, 100);
    
    for (Int_t i = 0; i < 10; i++)
        if (!gH->Fit(gFitFunc, "RBQ0")) break;
    
    // get peak
    peak = gFitFunc->GetParameter(3);

    // indicator line
    gLine->SetX1(peak);
    gLine->SetX2(peak);
    gLine->SetY1(0);
    gLine->SetY2(gH->GetMaximum());

    // draw 
    gCFit->cd();
    gH->GetXaxis()->SetRangeUser(0, 2000);
    gH->Draw();
    gFitFunc->Draw("same");
    gLine->Draw("same");

    // fill overview histogram
    gHOverview->SetBinContent(run+1, peak);
    gHOverview->SetBinError(run+1, 0.0001);
}

void FindPeak(TH1 *hm, int * i, char * namefile){
  int np =5, p, max = 0;
  int npeaks = TMath::Abs(np);
  double par[3000];
  par[0] = 0.8;
  par[1] = -0.6/1000;

  for (p=0;p<npeaks;p++) {
    par[3*p+2] = 1;
    par[3*p+3] = 10+gRandom->Rndm()*980;
    par[3*p+4] = 3+2*gRandom->Rndm();
  }
 
  TSpectrum *s = new TSpectrum(2*npeaks,1);
  int nfound = s->Search(hm,2,"",0.10);
  printf("Found %d candidate peaks to fit\n",nfound);

  TH1 *hb = s->Background(hm,20,"same");
  if (np <0) return;

  // loope over peaks
  TF1 *fline = new TF1("fline","pol1",0,1000);
  hm->Fit("fline","qn");
  par[0] = fline->GetParameter(0);
  par[1] = fline->GetParameter(1);
  npeaks = 0;
  float *xpeaks = s->GetPositionX();
  for (p=0;p<nfound;p++) {
    float xp = xpeaks[p];
    int bin = hm->GetXaxis()->FindBin(xp);
    float yp = hm->GetBinContent(bin);
    if (yp-TMath::Sqrt(yp) < fline->Eval(xp)) continue;
    par[3*npeaks+2] = yp;
    par[3*npeaks+3] = xp;
    par[3*npeaks+4] = 3;
    npeaks++;
  }
  printf("Found %d useful peaks to fit\n",npeaks); 
  printf("Now fitting: Be patient\n");
  if (max < npeaks) max = npeaks;
  TF1 *fit = new TF1("fit",fpeaks,0,1000,2+3*npeaks);
  TVirtualFitter::Fitter(hm,10+3*npeaks);
  fit->SetParameters(par);
  fit->SetNpx(1000);
  hm->Fit("fit"); 
}

////    This version needs thought
void SiCalibrator::FindPeaks() {
	Load();
	int iterate = 25;
	int nbins;
	TSpectrum* spec = new TSpectrum(10);
	avesigma = 0;
	int nsigma = 0;
	for (int src=0; src < CalData.size(); src++) {
		if (CalData[src].hSource != 0) {
			for (int ch=0; ch<CalData[src].sourcedata.size(); ch++) {
				TH1D* hbi = CalData[src].hSource->ProjectionY("hb",ch+1,ch+1);
				nbins = hbi->GetNbinsX();
				TH1D* hbk1 = (TH1D*) spec->Background(hbi,iterate);
				hbi->Add(hbk1,-1);
				//Estimate parameters
				double lim = 5;
				double max = 0;
				double peak = 0;
				int i = nbins - 1;
				while (hbi->GetBinContent(i) < lim && i > 0) {
					max = i;
					i--;
				}
				double sigma = (max/CalibSource::sourcelist[src].betas.back().E)*2; //2 keV
				if (sigma > 1) {
					avesigma += sigma;
					nsigma++;
				}
				gErrorIgnoreLevel = kError;
				int npeaks = spec->Search(hbi,sigma,"nodraw ",0.001);
				float* adc = spec->GetPositionX();
				float* amp = spec->GetPositionY();
				for (int i=0; i<npeaks; i++) {
					CalData[src].sourcedata[ch].ADC.push_back(adc[i]);
					CalData[src].sourcedata[ch].Amp.push_back(amp[i]);
				}
			}
		}
	}
	avesigma = avesigma/nsigma;
}

/*
  Finds peak in timing difference spectrum
*/
double DiffPeak(TTree *&tree, TString pidcut = "PID>1000")
{
	TSpectrum *spec = new TSpectrum(10); // peak finder
	TH1D *diff = new TH1D("diff","diff",200,-5,5);

	tree->Project("diff","diff",pidcut.Data());
	spec->Search(diff,2,"nodraw",0.7);
	double diffpeak = spec->GetPositionX()[0];

	// testing
	//TCanvas *c_tmp = new TCanvas();
	//diff->Draw();
	//c_tmp->WaitPrimitive();
	//delete c_tmp;
	

	delete diff;
	delete spec;

	return diffpeak;
} // end DiffPeak()

//.........这里部分代码省略.........
			Float_t * source = new Float_t[nbins];
			Float_t * dest = new Float_t[nbins];

			for (int i = 0; i < nbins; ++i){
				source[i]=y_max-caen.trace[channel][i];
				g->SetPoint(i, i, source[i]);
			}

			//Use TSpectrum to find the peak candidates
			TSpectrum *s = new TSpectrum();
		   	Int_t nfound = s->SearchHighRes(source, dest, nbins, 3, 2, kTRUE, 2, kFALSE, 5);

		    /**************************************
		     * Background estimation
		     **************************************
		    */
		    Int_t  	ssize = nbins;
		    Int_t  	numberIterations = 20;
		    Int_t  	direction = s->kBackIncreasingWindow;
		    Int_t  	filterOrder = s->kBackOrder2;
		    bool  	smoothing = kFALSE;
		    Int_t  	smoothWindow = s->kBackSmoothing3;
		    bool  	compton = kFALSE;
		    for (int i = 0; i < nbins; ++i) baseline[i] = source[i];
		    s->Background(baseline, ssize, numberIterations, direction, filterOrder, smoothing, smoothWindow, compton);

		    /**************************************
		     * Peaks and integral estimation
		     **************************************
		    */
		    Double_t px[2], py[2];
		    for (int i = 0; i < nbins; ++i) dest[i] = source[i]-baseline[i];
		    if(nfound==2){
			   bin = s->GetPositionX()[0];
			   fPositionX1 = bin;
			   fPositionY1 = dest[bin];
			   px[0] = bin;
			   py[0] = dest[bin];
			   bin = s->GetPositionX()[1];
			   fPositionX2 = bin;
			   fPositionY2 = dest[bin];
			   px[1] = bin;
			   py[1] = dest[bin];
		    }
			int posxa=6;
		    int posxb=9;
		    switch (filenum){
		    	case 1081:
		    		posxa=6;
		    		posxb=9;
		    		break;

		    	case 1082:
		    		posxa=5;
		    		posxb=7;
		    		break;

		    	case 1083:
		    		posxa=5;
		    		posxb=8;
		    		break;

		    	case 1084:
		    		posxa=5;
		    		posxb=7;
		    		break;

void fit(){
  int range = 1e4;

  TFile *f = new TFile("hgrroot.root");
  TCanvas *ca = new TCanvas("ca","ca",0,0,1400,900);
  ca->Divide(4,4);
  TH1F* h[7][4];
  TF1* fu[7][4][2];
  TF1* fus[7][4][2][3];
  double res[7*4];
  double det[7*4];
  double slope[7*4];
  double offset[7*4];
  double resolution =5;
  TEnv* output = new TEnv("corecal.dat");

  for(int d=0;d<7;d++){
    for(int c=0;c<4;c++){
      h[d][c] = (TH1F*)f->Get(Form("htraceen_b%d_c%d_cr%d_d%d",0,9,c,d+1));
      ca->cd(1+c*4);
      //h[d][c]->GetXaxis()->SetRangeUser(100,4000);
      TSpectrum *sp = new TSpectrum(2,resolution);
      sp->SetResolution(resolution);
      Int_t nfound = 0;
      nfound = sp->Search(h[d][c],resolution,"nobackground",0.5);
      Float_t *xpeaks = sp->GetPositionX();
      Float_t *ypeaks = sp->GetPositionY();
//       for(int p=0;p<nfound;p++){
// 	cout << xpeaks[p] << "\t" << ypeaks[p] << endl;
//       }
      if(nfound!=2){
	cout << "Found " << nfound << " peaks in spectrum, too many, aborting" << endl;
	continue;
      }
      h[d][c]->DrawCopy();
      //check if first peak is lower in energy, otherwise swap them
      if(xpeaks[0]>xpeaks[1]){
	Float_t temp = xpeaks[1];
	xpeaks[1] = xpeaks[0];
	xpeaks[0] = temp;
	temp = ypeaks[1];
	ypeaks[1] = ypeaks[0];
	ypeaks[0] = temp;
	
      }

      for(int p=0;p<nfound;p++){
	ca->cd(1+c*4+1+p);
	h[d][c]->GetXaxis()->SetRangeUser(xpeaks[p]-range,xpeaks[p]+range);
	h[d][c]->DrawCopy();
	fu[d][c][p] = new TF1(Form("fcore_d%d_c%d_p%d",d,c,p),fgammagaussbg,xpeaks[p]-range,xpeaks[p]+range,6);
	fu[d][c][p]->SetLineColor(3);
	fu[d][c][p]->SetLineWidth(1);
	fu[d][c][p]->SetParameter(0,0);//bg const
	fu[d][c][p]->SetParameter(1,0);//bg slope
	fu[d][c][p]->SetParameter(2,h[d][c]->Integral(xpeaks[p]-range,xpeaks[p]+range));//norm
	fu[d][c][p]->SetParameter(3,xpeaks[p]);//mean
	fu[d][c][p]->SetParLimits(3,xpeaks[p]-500,xpeaks[p]+500);//mean
	fu[d][c][p]->SetParameter(4,100);//sigma
	fu[d][c][p]->SetParLimits(4,0.001,1000);//sigma
	fu[d][c][p]->SetParameter(5,h[d][c]->GetBinContent(h[d][c]->FindBin(xpeaks[p]-range)));//step
	
	h[d][c]->Fit(fu[d][c][p],"Rqn");
	fu[d][c][p]->Draw("same");


	fus[d][c][p][0] = new TF1(Form("fcore_d%d_c%d_p%d_bg",d,c,p),fgammabg,xpeaks[p]-range,xpeaks[p]+range,6);
	fus[d][c][p][1] = new TF1(Form("fcore_d%d_c%d_p%d_st",d,c,p),fgammastep,xpeaks[p]-range,xpeaks[p]+range,6);
	fus[d][c][p][2] = new TF1(Form("fcore_d%d_c%d_p%d_ga",d,c,p),fgammagaus,xpeaks[p]-range,xpeaks[p]+range,6);
	

	fus[d][c][p][0]->SetLineColor(5);
	fus[d][c][p][1]->SetLineColor(4);
	fus[d][c][p][2]->SetLineColor(2);
	for(int k=0;k<3;k++){
	  fus[d][c][p][k]->SetLineWidth(1);
	  for(int l=0;l<6;l++)
	    fus[d][c][p][k]->SetParameter(l,fu[d][c][p]->GetParameter(l));
	  fus[d][c][p][k]->Draw("same");
	}

      }//peaks
      //res[d*4+c] = 2.35*fu[d][c][1]->GetParameter(4)*(1332.492-1173.228)/(fu[d][c][1]->GetParameter(3)-fu[d][c][0]->GetParameter(3));

      slope[d*4+c] = (1332.492-1173.228)/(fu[d][c][1]->GetParameter(3)-fu[d][c][0]->GetParameter(3));
      offset[d*4+c] = (1332.492+1173.228)-slope[d*4+c]*(fu[d][c][1]->GetParameter(3)+fu[d][c][0]->GetParameter(3));
      offset[d*4+c]*=0.5;
      
      //cout << fu[d][c][0]->GetParameter(3)*slope[d*4+c] + offset[d*4+c] << "\t" << fu[d][c][1]->GetParameter(3)*slope[d*4+c] + offset[d*4+c] << endl;
      
      res[d*4+c] = fu[d][c][1]->GetParameter(2);
      det[d*4+c] = d*5+c;

      output->SetValue(Form("Slope.d%d.c%d",d,c),slope[d*4+c]);
      output->SetValue(Form("Offset.d%d.c%d",d,c),offset[d*4+c]);


      //cout << det[d*4+c] <<"\t" << res[d*4+c] << endl;
      //cout << fu[d][c][0]->GetParameter(4) <<"\t" << fu[d][c][1]->GetParameter(4) << endl;
      //ca->cd(1+c*4+3);
//.........这里部分代码省略.........

//.........这里部分代码省略.........
  double meanVal[nPMT][nBinsXY][nBinsXY]; // Holds the mean of the distribution as defined by first fitting the peak
  double fitMean[nPMT][nBinsXY][nBinsXY]; // Holds the mean of the low energy peak
  double fitSigma[nPMT][nBinsXY][nBinsXY]; // Holds the sigma of the low energy peak
  double endpoint[nPMT][nBinsXY][nBinsXY]; // Holds the endpoint


  /////// First determine roughly where the low energy peak is
  TSpectrum *spec;

  for (int p=0; p<nPMT; p++) {
    for (int i=0; i<nBinsXY; i++) {
      for (int j=0; j<nBinsXY; j++) {	
	
	double r = sqrt(power(posmap.getBinCenter(j),2)+power(posmap.getBinCenter(i),2));
	
        // Find bin with maximum content
	hisxy[p][i][j]->GetXaxis()->SetRange(2,nBinHist);
        maxBin[p][i][j] = hisxy[p][i][j]->GetMaximumBin();
        maxCounts[p][i][j] = hisxy[p][i][j]->GetBinContent(maxBin[p][i][j]);
        binCenterMax[p][i][j] = hisxy[p][i][j]->GetBinCenter(maxBin[p][i][j]);
	
	  
	if (r<=(50.+2*xyBinWidth))
	      {
		spec = new TSpectrum(20);
		Int_t npeaks = spec->Search(hisxy[p][i][j],1.5,"",0.5);
		
		if (npeaks==0)
		  {
		    cout << "No peaks identified at PMT" << p << " position " << posmap.getBinCenter(i) << ", " << posmap.getBinCenter(j) << endl;
		  }
		else
		  {
		    Float_t *xpeaks = spec->GetPositionX(); // Note that newer versions of ROOT return a pointer to double...
		    TAxis *xaxis = (TAxis*)(hisxy[p][i][j]->GetXaxis());
		    Int_t peakBin=0;
		    Double_t BinSum=0.;
		    Double_t BinSumHold = 0.;
		    Int_t maxPeak=0.;
		    for (int pk=0;pk<npeaks;pk++) {
		      peakBin = xaxis->FindBin(xpeaks[pk]);
		      //Sum over 3 center bins of peak and compare to previos BinSum to see which peak is higher
		      BinSum = hisxy[p][i][j]->GetBinContent(peakBin) + hisxy[p][i][j]->GetBinContent(peakBin-1) + hisxy[p][i][j]->GetBinContent(peakBin+1);
		      if (BinSum>BinSumHold) {
			BinSumHold=BinSum;
			maxPeak=pk;
		      }
		    }
		    binCenterMax[p][i][j] = xpeaks[maxPeak];
		  }
		delete spec;
	      }
	xLow[p][i][j] = binCenterMax[p][i][j]*2./3.;
	xHigh[p][i][j] = 1.5*binCenterMax[p][i][j];

	
      }
    }
  }
  
  //////// Now fit the histograms for the peak

  for (int p=0; p<nPMT; p++) {
    for (int i=0; i<nBinsXY; i++) {
      for (int j=0; j<nBinsXY; j++) {	

//------------------------------------------------------------------------
void DrawLEDminCFD()
{
  Int_t npeaks = 10;
  Int_t sigma=10.;
  Bool_t down=false;
  Int_t index[20];
  
  TCanvas *c1 = new TCanvas("c1", " LED-CFD C side",0,48,1280,951);
  c1->Divide(4,3);
  
  Char_t buf1[20];
  for (Int_t i=0; i<12; i++)
    {
      c1->cd(i+1);
      sprintf(buf1,"LEDminCFD%i",i+1);
      TH1F *cfd = (TH1F*) gFile->Get(buf1);
      cfd->Draw();
      TSpectrum *s = new TSpectrum(2*npeaks,1);
      Int_t nfound = s->Search(cfd,sigma," ",0.2);
      cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
      if(nfound!=0) {
	Float_t *xpeak = s->GetPositionX();
	TMath::Sort(nfound, xpeak, index,down);
	Float_t xp = xpeak[index[0]];
        Int_t xbin = cfd->GetXaxis()->FindBin(xp);
        Float_t yp = cfd->GetBinContent(xbin);
        cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[index[0]]<<"\typeak = "<<yp<<endl;
        Float_t hmin=xp-3*sigma;
        Float_t hmax =xp+3*sigma;
        cfd->GetXaxis()->SetRange(hmin,hmax);
	TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
        cfd->Fit("g1","RQ");

	
      }
      
    }
 TCanvas *c2 = new TCanvas("c2", "LED-CFD A side",0,48,1280,951);
  c2->Divide(4,3);
  
  Char_t buf1[20];
  for (Int_t i=12; i<24; i++)
    {
      c2->cd(i+1-12);
      sprintf(buf1,"LEDminCFD%i",i+1);
      TH1F *cfd = (TH1F*) gFile->Get(buf1);
      cfd->Draw();
      TSpectrum *s = new TSpectrum(2*npeaks,1);
      Int_t nfound = s->Search(cfd,sigma," ",0.2);
      cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
      if(nfound!=0) {
	Float_t *xpeak = s->GetPositionX();
	TMath::Sort(nfound, xpeak, index,down);
	Float_t xp = xpeak[index[0]];
        Int_t xbin = cfd->GetXaxis()->FindBin(xp);
        Float_t yp = cfd->GetBinContent(xbin);
        cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[index[0]]<<"\typeak = "<<yp<<endl;
        Float_t hmin=xp-3*sigma;
        Float_t hmax =xp+3*sigma;
        cfd->GetXaxis()->SetRange(hmin,hmax);
	TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
        cfd->Fit("g1","RQ");

	
      }
      
    }
  /*
  TCanvas *c1 = new TCanvas("c1", "c1",0,48,1280,951);
  c1->Divide(2,2);
  Char_t buf1[10];
  for (Int_t i=0; i<4; i++)
    {
      c1->cd(i+1);
      sprintf(buf1,"LED-CFD%i",i+1);
      TH1F *cfd = (TH1F*) file->Get(buf1);
      //  cout<<buf1<<" "<<cfd<<endl;
      //     cfd->Draw();
      //   cfd->GetXaxis()->SetRange(0,100);
      Float_t mean = cfd->GetMean();
      Float_t rms = cfd->GetRMS();
      Float_t hmin=mean - 3*rms;
      Float_t hmax =mean + 3*rms;
      cfd->GetXaxis()->SetRange(hmin-10,hmax+10);
      cout<<" cfd range "<<mean<<" rms "<<rms<<" "<<hmin<<" "<<hmax<<endl;
      //     TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
      //  cfd->Fit("g1","RQ");
      cfd->Draw();
    }
  */

}

//------------------------------------------------------------------------
void DrawCFDvsLED()
{
  Int_t runNumber=1098;
  
  Int_t npeaks = 20;
  Int_t sigma=2.;
  Char_t buf1[10], buf2[10];
   TCanvas *c1 = new TCanvas("c1", "c1",0,48,1280,951);
  gStyle->SetOptStat(0);
  c1->Divide(4,3);
  for (Int_t i=0; i<12; i++)
    {
      c1->cd(i+1);
      sprintf(buf1,"T0_C_%i_CFD",i+1);
      sprintf(buf2,"CFDvsLED%i",i+1);
      
      TH2F *qtc_cfd = (TH2F*) gFile->Get(buf2);
      //qtc_cfd->Draw();
      TH1F *cfd = (TH1F*) gFile->Get(buf1);
      //       cfd->Draw();
      TSpectrum *s = new TSpectrum(2*npeaks,1);
      Int_t nfound = s->Search(cfd,sigma," ",0.05);
      cout<<"Found "<<nfound<<" peaks sigma "<<sigma<<endl;;
      if(nfound!=0){
	Double_t max=0.0; 
	Double_t tabmax[2] = {0.0, 0.0};
	Float_t *xpeak = s->GetPositionX();
	for(Int_t k=0; k<1 ;k++)
	  {
	    Float_t xp = xpeak[k];
	    Int_t xbin = cfd->GetXaxis()->FindBin(xp);
	    Float_t yp = cfd->GetBinContent(xbin);
	    cout<<"xbin = "<<xbin<<"\txpeak = "<<xpeak[k]<<"\typeak = "<<yp<<endl;
	  }
	Float_t hmin=xp-10*sigma;
	Float_t hmax =xp+10*sigma;
	cout<<hmin<< " "<<hmax<<endl;
	//	    cfd->GetXaxis()->SetRange(hmin,hmax);
	//	    TF1 *g1 = new TF1("g1", "gaus", hmin, hmax);
	// cfd->Fit("g1","R");
	Int_t hminbin=  qtc_cfd->GetXaxis()->GetFirst();
	Int_t hmaxbin=  qtc_cfd->GetXaxis()->GetLast();
	Int_t nbins= qtc_cfd->GetXaxis()->GetNbins();
	cout<<"  qtc_cfd "<<hminbin<<" "<<hmaxbin<<" "<<nbins<<endl;
        qtc_cfd->Draw();
	/*TProfile *pr_y = qtc_cfd->ProfileX();
	
	pr_y->SetMaximum(hmax);
	pr_y->SetMinimum(hmin);
	Int_t np=nbins/20;
	Double_t *xx = new Double_t[np];
	Double_t *yy = new Double_t[np];
	Int_t ng=0;
	Double_t yg=0;
	for (Int_t ip=1; ip<nbins; ip++)
	  {
	    if(ip%20 != 0 ) {
	      if (pr_y->GetBinContent(ip) !=0)
		yg +=pr_y->GetBinContent(ip);
	      //	cout<<ng<<" "<<pr_y->GetBinContent(ip)<<" "<<yg<<endl;
	      ng++;}
	    else {
	      xx[ip/20] = Float_t (ip);
	      yy[ip/20] = yg/ng;
	      yg=0;
	      ng=0;
	      cout<<ip<<" "<<ip/20<<" "<< xx[ip/20]<<" "<< yy[ip/20]<<endl;
	    }
	  }
	TH2F *hr = new TH2F("hr"," ",np,0,nbins, np, hmin, hmax);
	hr->Draw();
	TGraph *gr = new TGraph(np,xx,yy);
	gr->SetMinimum(hmin);
	gr->SetMaximum(hmax);
	gr->Draw("P");
	delete [] xx;
	delete [] yy;
	
	// pr_y->Rebin(10);
	//  pr_y->Draw();
	*/
      }
 
    }
  

}