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SinglePEAnalysis.C
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SinglePEAnalysis.C
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#include "TH1F.h"
#include "TF1.h"
#include "TFile.h"
#include "TString.h"
#include "TTree.h"
#include "TStyle.h"
#include "TGraphErrors.h"
#include "TCanvas.h"
#include "TMath.h"
#include "TH2D.h"
#include "TPaveText.h"
#include "TLegend.h"
#include "TRandom.h"
#include "TSystem.h"
#include <vector>
#include <iostream>
//#include "Style.C"
#define START_ORDER 0
#define NORDERS 6
#define OFFSET 755
struct FitResults {
float ped_mu;
float ped_mu_err;
float ped_sigma;
float ped_sigma_err;
float mu;
float mu_err;
float offset;
float offset_err;
float Q1;
float Q1_err;
float sigma;
float sigma_err;
};
Double_t PMTFunction(Double_t *x, Double_t *par)
{
float N = par[0];
float mu = par[1];
float Q1 = par[2];
float sigma = par[3];
float offset = par[4];
float sigmaoffset = par[5];
// float alpha = par[6];
// float w = par[7];
// float frac = par[8];
float xx = x[0];
double value = 0.;
for( unsigned i=START_ORDER; i<NORDERS; ++i ) {
//double Qn = offset + (double)(i)*Q1;
double sigma_n = sqrt( (double)(i)*sigma*sigma + sigmaoffset*sigmaoffset);
//double poisson = TMath::Poisson( i, mu );
//double gauss = TMath::Gaus( xx, Qn, sigma_n );
//double xxp = xx - Qn - alpha*sigma_n*sigma_n;
//double Q0p = offset - Qn - alpha*sigma_n*sigma_n;
//double bg = 0.5*alpha * TMath::Exp(-alpha*xxp)* (
// TMath::Erf( abs(Q0p)/(sigma_n*sqrt(2) ) ) + xxp/abs(xxp) * TMath::Erf( abs(xxp)/(sigma_n*sqrt(2)) ) );
//value = value + N*( poisson * ( (1.-w)*gauss + w*bg ) );
float norm;
// if (i==0)
// norm=N*(1+frac);
// else
norm=N;
value += norm*(TMath::Poisson( i, mu ) * TMath::Gaus( xx, ((double)i*Q1 + offset), sigma_n, kTRUE) );
//value = value + N*(TMath::Poisson( i, mu ) * TMath::Gaus( xx, (double)i*Q1 + offset, sqrt((double)i)*sigma ));
}
return value;
}
FitResults fitSingleHisto( TH1F* histo, double xMin, double xMax )
{
FitResults fr;
TF1* f1 = new TF1( "fPMT", PMTFunction, xMin, xMax, 6 );
f1->SetParameter( 0, histo->Integral()); //normalization
f1->SetParameter( 1, 0.4); //poiss mu
f1->SetParameter( 2, 20. ); //gauss step
f1->SetParameter( 3, 10. ); //gauss sigma
f1->SetParameter( 4, 40. ); //offset
f1->SetParameter( 5, 4. ); //sigmaoffset
// f1->SetParameter( 6, 0.03 ); //alpha
// f1->SetParameter( 7, 0.4 ); //w
// f1->SetParameter( 8, 0.3 ); //w
f1->SetParName(0,"Norm");
f1->SetParName(1,"#mu");
f1->SetParName(2,"PE charge");
f1->SetParName(3,"PE resolution");
f1->SetParName(4,"Pedestal");
f1->SetParName(5,"Noise");
// f1->FixParameter( 1, 1. ); //mu
// f1->FixParameter( 2, 29.5 ); //Q1
// // f1->FixParameter( 3, 14.3 ); //sigmaQ1
// f1->FixParameter( 4, 0. ); //offset
// f1->FixParameter( 5, 0. ); //sigmaoffset
// f1->FixParameter( 6, 0. ); //alpha
// f1->FixParameter( 7, 0. ); //w
// f1->FixParameter( 8, 0. ); //w
f1->SetParLimits( 1, 0.1, 5. ); //poiss mu
f1->SetParLimits( 2, 5., 40. ); //gauss step
f1->SetParLimits( 3, 3., 30. ); //gauss sigma
f1->SetParLimits( 4, 20, 70.); //offset
f1->SetParLimits( 5, 3., 6. ); //gauss sigma
f1->SetLineColor(kBlue+1);
f1->SetLineWidth(2);
histo->Fit( f1, "LR+" );
TString histoName(histo->GetName());
fr.mu = f1->GetParameter(1);
fr.mu_err = f1->GetParError(1);
fr.Q1= f1->GetParameter(2);
fr.Q1_err= f1->GetParError(2);
fr.sigma=f1->GetParameter(3);
fr.sigma_err= f1->GetParError(3);
delete f1;
return fr;
}
void SinglePEAnalysis(TString inputFile)
{
TString baseName(gSystem->BaseName(inputFile.Data()));
TString fileName;
TString runId;
Ssiz_t from = 0;
baseName.Tokenize(fileName, from, ".root");
from=0;
TString tok;
from = 0;
while (fileName.Tokenize(tok, from, "h4Reco_")) {
runId=tok;
}
TCanvas *c=new TCanvas("c","c",800,700);
TFile* out=TFile::Open(Form("SinglePEAnalysis/%s_out.root",runId.Data()),"RECREATE");
// TFile *f=TFile::Open("h4Reco_test100kevents.root");
double pe;
double pe_err;
double gain;
double gain_err;
double peres;
double peres_err;
double mu;
double mu_err;
TFile *f=TFile::Open(inputFile);
TTree* tree=(TTree*)f->Get("h4");
TH1F* adcData= new TH1F("ledData","ledData",400,0,200);
tree->Project("ledData","charge_tot[C0]");
//tree->Project("ledData","charge_sig[C0]");
adcData->Print();
// std::cout << "FIT RANGE " << adcData->GetMean()-3*adcData->GetRMS() << "," << adcData->GetMean()+3*adcData->GetRMS() << std::endl;
FitResults fr=fitSingleHisto(adcData,16,160);
pe=fr.Q1;
pe_err=fr.Q1_err;
gain=fr.Q1*5E-10*1E-3/50/1.6E-19;
gain_err=fr.Q1_err*5E-10*1E-3/50/1.6E-19;
peres=fr.sigma/fr.Q1;
peres_err=fr.sigma/fr.Q1*sqrt((fr.Q1_err*fr.Q1_err)/(fr.Q1*fr.Q1)+(fr.sigma_err*fr.sigma_err)/(fr.sigma*fr.sigma));
mu=fr.mu;
mu_err=fr.mu_err;
c->SetLogy(1);
gStyle->SetOptStat(0);
gStyle->SetOptFit(11111);
adcData->SetMarkerStyle(20);
adcData->SetMarkerSize(0.6);
adcData->SetMarkerColor(kBlack);
adcData->SetLineColor(kBlack);
adcData->Draw("PE");
adcData->GetXaxis()->SetTitle("Charge [ADC Counts]");
for (int ipe=0; ipe<4;++ipe)
{
TF1* peFunc=new TF1(Form("peFunc_%d",ipe),"gaus",0,200);
peFunc->SetLineColor(1+ipe);
peFunc->SetLineWidth(2);
float mu_pe=ipe*adcData->GetFunction("fPMT")->GetParameter(2)+adcData->GetFunction("fPMT")->GetParameter(4);
float sigma_pe=sqrt(ipe*adcData->GetFunction("fPMT")->GetParameter(3)*adcData->GetFunction("fPMT")->GetParameter(3)+adcData->GetFunction("fPMT")->GetParameter(5)*adcData->GetFunction("fPMT")->GetParameter(5));
peFunc->SetParameter(0,adcData->GetFunction("fPMT")->GetParameter(0)*TMath::Poisson(ipe,adcData->GetFunction("fPMT")->GetParameter(1))/(sqrt(2*TMath::Pi())*sigma_pe));
peFunc->SetParameter(1,mu_pe);
peFunc->SetParameter(2,sigma_pe);
peFunc->Draw("SAME");
}
out->cd();
adcData->Write(Form("adcData_%s",runId.Data()));
c->SaveAs(Form("SinglePEAnalysis/singlePEfit_%s.pdf",runId.Data()));
out->Write();
}