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Commit 57e13019 authored by Keerthi Nakkalil's avatar Keerthi Nakkalil
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histograms are plotted using files, c arrays removed completly and std::vectors are used instead.

parent 43bfa9d0
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gain_measurement.cpp
View file @ 57e13019
/*defining global variables*/
int nbins = 450;
double xmin=850.0,xmax = 1750.0;
std::vector<TH1D*>hist_255;
std::vector<int>colors={kAzure,kRed,kViolet};
std::vector<int>markers={2,3,5};
std::vector<double>fitmin={1220.,1200.,1150.};
std::vector<double>fitmax={1700.,1420.,1240.};
/////////////////////////////////////////////////////////////
// The function fit_1d sets the cosmetics for the histograms/
// and fits the histogram with modified erf function. /
/////////////////////////////////////////////////////////////
TH1D *fit_1d(TH1D* &hist_255.at(amp),int &colors.at(amp),int &markers.at(amp),int amplitude,double &fitmin.at(amp),double &fitmax.at(amp))
TH1D *fit_1d(TH1D* &hist_255,int colors,int markers,int &amplitude,double fitmin,double fitmax)
{
hist_255.at(amp)->GetXaxis()->SetTitle("Threshold");
hist_255.at(amp)->GetYaxis()->SetTitle("# sugnals above the threshold");
hist_255.at(amp)->SetMarkerColor(colors.at(amp));
hist_255.at(amp)->SetMarkerStyle(markers.at(amp));
hist_255->GetXaxis()->SetTitle("Threshold");
hist_255->GetYaxis()->SetTitle("# signals above the threshold");
hist_255->SetMarkerColor(colors);
hist_255->SetMarkerStyle(markers);
TF1 *fitfunc = new TF1("fitfunc","([0]/2)*(1-TMath::Erf((x-[1])/(sqrt(2)*[2])))",fitmin.at(amp),fitmax.at(amp));
TF1 *fitfunc = new TF1("fitfunc","([0]/2)*(1-TMath::Erf((x-[1])/(sqrt(2)*[2])))",fitmin,fitmax);
cout<<"The fit parameters for the amplitude amp_0"<<amplitude<<""<<" are as follows :"<<std::endl;
......@@ -36,14 +22,13 @@ TH1D *fit_1d(TH1D* &hist_255.at(amp),int &colors.at(amp),int &markers.at(amp),in
//Assigning Initial values to the parameters
fitfunc->SetParameter(0,200.0);
int lastbin1 = hist_255.at(amp)->FindLastBinAbove(200);
double mean = hist_255.at(amp)->GetBinCenter(lastbin1);
int lastbin1 = hist_255->FindLastBinAbove(200);
double mean = hist_255->GetBinCenter(lastbin1);
cout<<"The initial mean value assigned for the data of amp_0 "<<amplitude<<""<<" is "<<""<<mean<<std::endl;
fitfunc->SetParameter(1,mean);
int lastbin2 = hist_255.at(amp)->FindLastBinAbove(150);
int lastbin3 = hist_255.at(amp)->FindLastBinAbove(50);
int lastbin2 = hist_255->FindLastBinAbove(150);
int lastbin3 = hist_255->FindLastBinAbove(50);
int sigma = lastbin3 -lastbin2;
cout<<"The initial noise assigned for the data of amp_0 "<<amplitude<<""<<" is "<<""<<sigma<<std::endl;
fitfunc->SetParameter(2,sigma);
......@@ -51,11 +36,10 @@ TH1D *fit_1d(TH1D* &hist_255.at(amp),int &colors.at(amp),int &markers.at(amp),in
fitfunc->SetLineWidth(2);
fitfunc->SetLineColor(2);
hist_255.at(amp)->Fit("fitfunc"," R");
hist_255.at(amp)->GetListOfFunctions()->FindObject("fitfunc")->Draw("same");
hist_255.at(amp)->SetStats(0);
return hist_255.at(amp);
hist_255->Fit("fitfunc"," R");
hist_255->GetListOfFunctions()->FindObject("fitfunc")->Draw("same");
hist_255->SetStats(0);
return hist_255;
}
......@@ -63,38 +47,92 @@ TH1D *fit_1d(TH1D* &hist_255.at(amp),int &colors.at(amp),int &markers.at(amp),in
void gain_6()
{
TTree *tree1 = new TTree("tree1", "tree1");
TTree *tree2 = new TTree("tree2", "tree2");
TTree *tree3 = new TTree("tree3", "tree3");
cout<<"The trees are created..."<<std::endl;
int x,y, nbins = 450;
double xmin=850.0,xmax = 1750.0;
std::vector<int>colors={kAzure,kTeal+3,kViolet+3};
std::vector<int>markers={2,3,5};
std::vector<double>fitmin ={1220.,1200.,1150.};
std::vector<double>fitmax={1700.,1420.,1240.};
std::vector<TH1D*>hist_255;
ifstream amp03,amp02,amp01;
/*Reading data from the files are storing into trees*/
amp03.open("amp03_255_255.dat");
amp02.open("amp02_255_255.dat");
amp01.open("amp01_255_255.dat");
tree1->ReadFile("amp03_255_255.dat", "x/D:y/D");
tree2->ReadFile("amp02_255_255.dat", "x/D:y/D");
tree3->ReadFile("amp01_255_255.dat", "x/D:y/D");
cout<<"The data is stored into the trees from the file..."<<std::endl;
if(amp03.is_open())
{
cout<<"The data file 255_255 is opened..."<<std::endl;
TH1D *h3 = new TH1D("h3","Threshold gain measurement",nbins,xmin,xmax);
hist_255.push_back(h3);
while(!amp03.eof())
{
// cout<<"The values from the file amp03 is extracted..."<<std::endl;
amp03>>x>>y;
hist_255.at(0)->Fill(x,y);
}
hist_255.at(0)->Draw("HIST P");
cout<<"histogram with amp03 filled..."<<std::endl;
}
else
{
cout << "Error opening file. Exit." <<std::endl;
}
TH1D *hist1 = hist_255.at(0);
TH1D *hist2 = hist_255.at(1);
TH1D *hist3 = hist_255.at(2);
if(amp02.is_open())
{
cout<<"The data file 255_255 is opened..."<<std::endl;
TH1D *h2 = new TH1D("h2","Threshold gain measurement",nbins,xmin,xmax);
hist_255.push_back(h2);
while(!amp02.eof())
{
amp02>>x>>y;
hist_255.at(1)->Fill(x,y);
}
hist_255.at(1)->Draw("HIST SAME P");
}
tree1->Draw("x>>hist1","y","HIST P ");
tree2->Draw("x>>hist2","y","HIST SAME P ");
tree3->Draw("x>>hist3","y","HIST SAME P ");
cout<<"The histograms are plotted.."<<std::endl;
else
{
cout << "Error opening file. Exit." <<std::endl;
}
if(amp01.is_open())
{
cout<<"The data file 255_255 is opened..."<<std::endl;
TH1D *h1 = new TH1D("h1","Threshold gain measurement",nbins,xmin,xmax);
hist_255.push_back(h1);
while(!amp01.eof())
{
amp01>>x>>y;
hist_255.at(2)->Fill(x,y);
}
hist_255.at(2)->Draw("HIST SAME P");
}
else
{
cout << "Error opening file. Exit." <<std::endl;
}
cout<<"The size of the vector is :"<<hist_255.size()<<std::endl;
hist_255.push_back(hist1);
hist_255.push_back(hist2);
hist_255.push_back(hist3);
for(int iamp=0;iamp<3;iamp++)
{
fit_1d(hist_255.at(iamp),colors.at(iamp),markers.at(iamp),fitmin.at(iamp),fitmax.at(iamp));
fit_1d(hist_255.at(iamp),colors.at(iamp),markers.at(iamp),iamp,fitmin.at(iamp),fitmax.at(iamp));
// cout<<"The mean for amplitude 0 "<<iamp<<" "<<"is :"<<mean<<std::endl;
}
TLegend *leg = new TLegend(0.7,0.7,0.9,0.9);
leg->AddEntry(hist_255.at(0), "high amplitude","p");
leg->AddEntry(hist_255.at(1),"mid amplitude","p");
leg->AddEntry(hist_255.at(2),"low amplitude","p");
leg->Draw();
cout<<"Done..."<<std::endl;
}
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