fitting function modified

gain_measurement.cpp

@@ -71,6 +71,8 @@ void fit_modified_erf(TH1D* hist_255,int colors,int markers,double injected_volt
   fitpars<< std::setw(3)<< std::setfill('0')<< pixel_address <<"_"
 	 << std::setw(3)<< std::setfill('0')<<pixel_address<<"\t"
 	 <<injected_voltage<<"\t"<< fiterf->GetParameter(1)<<std::endl;
+
+  // fitpars <<injected_voltage<<"\t"<< fiterf->GetParameter(1)<<std::endl;
   hist_255->GetListOfFunctions()->FindObject("fiterf")->Draw("same");
   hist_255->SetStats(0);
 }
@@ -138,52 +140,59 @@ std::vector<TH1D*> gain_measurement_pixel(int i, int j)
   return hist_255;
 }
 
-void linear_fit(int x)
-{
-  ifstream fitpars("fit_parameters.txt");
+void linear_fit(int x){
+  ifstream fitpars;
+  fitpars.open("fit_parameters.txt");
   std::string pixel_address;
-  std::vector<double>injected_amp_vec,signals_vec;
-  double injected_amplitude,signals;
+  std::vector<double>amp_vec,mean_vec;
+  double amp_vals,mean_vals;
   std::vector<TGraph*>gr;
+  std::vector<TGraph*>gr3;
+  TGraph* gr2 = new TGraph();
+  int ctr=0;
+  int k=0;
+
+
+  while(fitpars>>pixel_address){
+    fitpars>>amp_vals>>mean_vals;
+    amp_vec.push_back(amp_vals);
+    mean_vec.push_back(mean_vals);
+    gr.push_back(new TGraph(amp_vec.size(),&amp_vec[0],&mean_vec[0]));
+    ctr++;
+  }
 
-  if(fitpars.is_open()){
-
-    while(!fitpars.eof()){
-      while(fitpars>>pixel_address){
-	// cout<<"The injected amplitudes and the corresponding mean values for "<<pixel_address<<"are : " <<std::endl;
-	fitpars>>injected_amplitude>>signals;
-	//cout<<injected_amplitude<<" "<<signals<<std::endl;
-	injected_amp_vec.push_back(injected_amplitude);
-	signals_vec.push_back(signals);
-	for(int i=0;i<3;i++){
-	  gr.push_back(new TGraph(injected_amp_vec.size(),&(injected_amp_vec[i]),&(signals_vec[i])));
-
-	}
-      }
-      for(int j=0;j<256;j++){
-	auto linear_fit = new TF1("linear_fit","[0]*x +[1]",0,300);
-	linear_fit->SetParNames("slope","offset");
-	linear_fit->SetParameter(0,2);
-	linear_fit->SetParameter(1,1200);
-	linear_fit->SetLineColor(2);
-	gr.at(j)->Fit(linear_fit);
-	gr.at(j)->Draw("AL*");
-	gr.at(j)->GetXaxis()->SetTitle("Injected amplitude");
-	gr.at(j)->GetYaxis()->SetTitle("mean values");
-	std::ofstream slopes;
-	slopes.open("slopes.txt",std::ofstream::app);
-	slopes<<linear_fit->GetParameter(0)<<" ";
+  for(ctr=0;ctr<amp_vec.size();ctr++){
+    if(ctr%3==0&&ctr>=0&&ctr<amp_vec.size()){
+      for(k=ctr;k<ctr+3;k++){
+	gr2->SetPoint(gr.at(k)->GetN(),amp_vec[k],mean_vec[k]);
       }
-
+      gr3.push_back(gr2);
     }
   }
+  cout<<gr3.size()<<std::endl;
+  for(int j=0;j<gr3.size();j++){
+    auto linear_fit = new TF1("linear_fit","[0]*x +[1]",0,300);
+    linear_fit->SetParNames("slope","offset");
+    linear_fit->SetParameter(0,2);
+    linear_fit->SetParameter(1,1200);
+    linear_fit->SetLineColor(2);
+    gr3.at(j)->Fit(linear_fit);
+    gr3.at(j)->SetTitle("injected voltage vs mean vals for 256 graphs ");
+    gr3.at(j)->GetXaxis()->SetTitle("injected voltage");
+    gr3.at(j)->GetYaxis()->SetTitle("mean vals");
+    gr3.at(j)->Draw("A*");
+    std::ofstream slopes;
+    slopes.open("slopes.txt",std::ofstream::app);
+    slopes<<linear_fit->GetParameter(0)<<" ";
+  }
 }
 
+
 void slope_distribution(int y)
 {
   ifstream slopes("slopes.txt");
   double slopeval;
-  TH1D* hist = new TH1D("slope","slope distribution",200,-2.0,10.0);
+  TH1D* hist = new TH1D("slope","slope distribution",200,-0.24540,-.24510);
 
   if(slopes.is_open()){
     while(!slopes.eof()){