ForestErrorAnal Lab7.C
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void BGDiff_Plot(Int_t Min, Int_t Max, double p) { // k= number of successful trials //p = probability of success //N= number of trials // Example: the number of heads = k after flipping a coin n times, p=0.5 TH1F *Binomial=new TH1F("Binomial","Binomial",Max-Min,Min,Max); Binomial->GetXaxis()->SetTitle("x"); Binomial->GetXaxis()->SetTitleSize(0.06); Binomial->GetXaxis()->CenterTitle(); Binomial->GetYaxis()->SetTitle("P(x)"); Binomial->GetYaxis()->SetTitleOffset(1.2); Binomial->GetYaxis()->SetTitleSize(0.06); Binomial->SetLineColor(4); Binomial->SetLineWidth(3); Binomial->SetLineStyle(2); TH1F *Gauss=new TH1F("Gauss","Gauss",Max-Min,Min,Max); Gauss->SetLineColor(2); Gauss->SetLineWidth(3); Gauss->SetLineStyle(9); double x,Mean, sigma,Binomial_x; TH1F *BGDiff=new TH1F("BGDiff","BGDiff",Max-Min,Min,Max); TH1F *BGDiffSqrd=new TH1F("BGDiffSqrd","BGDiffSqrd",Max-Min,Min,Max); gStyle->SetOptStat(1111111); for(Int_t i=Min;i<Max;i++) { Binomial_x=ROOT::Math::binomial_pdf(i,p,Max-Min); Binomial->Fill(i,Binomial_x); //printf("Step \t %d \n",i); Mean=p*(Max-Min); sigma=sqrt((Max-Min)/4); x=ROOT::Math::gaussian_pdf(i,sigma,Mean); Gauss->Fill(i,x); BGDiff->Fill(i,Binomial_x-x); BGDiffSqrd->Fill(i,(Binomial_x-x)*(Binomial_x-x)); } // BGDiff->Draw(); BGDiffSqrd->Draw(); // Binomial->Draw(); // Gauss->Draw("same"); } void PGDiff_Plot(Int_t Min, Int_t Max, double p) { // k= number of successful trials //p = probability of success //N= number of trials // Example: the number of heads = k after flipping a coin n times, p=0.5 TH1F *Poisson=new TH1F("Poisson","Poisson",Max-Min,Min,Max); Poisson->GetXaxis()->SetTitle("x"); Poisson->GetXaxis()->SetTitleSize(0.06); Poisson->GetXaxis()->Center Poisson->GetXaxis()->CenterTitle(); Poisson->GetYaxis()->SetTitle("P(x)"); Poisson->GetYaxis()->SetTitleOffset(1.2); Poisson->GetYaxis()->SetTitleSize(0.06); Poisson->SetLineColor(3); Poisson->SetLineWidth(3); Poisson->SetLineStyle(4); TH1F *Gauss=new TH1F("Gauss","Gauss",Max-Min,Min,Max); Gauss->SetLineColor(2); Gauss->SetLineWidth(3); Gauss->SetLineStyle(9); double x,Mean, sigma,Poisson_x; TH1F *PGDiff=new TH1F("PGDiff","PGDiff",Max-Min,Min,Max); TH1F *PGDiffSqrd=new TH1F("PGDiffSqrd","PGDiffSqrd",Max-Min,Min,Max); gStyle->SetOptStat(1111111); for(Int_t i=Min;i<Max;i++) { //printf("Step \t %d \n",i); Mean=p*(Max-Min); Poisson_x=ROOT::Math::poisson_pdf(i,Mean); Poisson->Fill(i,x); sigma=sqrt(Mean); x=ROOT::Math::gaussian_pdf(i,sigma,Mean); Gauss->Fill(i,x); PGDiff->Fill(i,Poisson_x-x); PGDiffSqrd->Fill(i,(Poisson_x-x)*(Poisson_x-x)); } // Poisson->Draw(); // Gauss->Draw("same"); PGDiffSqrd->Draw(); }