%%cpp -d #include "TCanvas.h" #include "TMath.h" #include "TH1.h" #include "TF1.h" #include "TRandom.h" #include "TSpectrum.h" #include "TVirtualFitter.h" Int_t npeaks = 30; %%cpp -d Double_t fpeaks(Double_t *x, Double_t *par) { Double_t result = par[0] + par[1]*x[0]; for (Int_t p=0;pRndm()*980; // "mean" par[3*p+4] = 3+2*gRandom->Rndm(); // "sigma" #if defined(__PEAKS_C_FIT_AREAS__) par[3*p+2] *= par[3*p+4] * (TMath::Sqrt(TMath::TwoPi())); // "area" #endif /* defined(__PEAKS_C_FIT_AREAS__) */ } 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"); TSpectrum *s = new TSpectrum(2*npeaks); Int_t nfound = s->Search(h,2,"",0.10); printf("Found %d candidate peaks to fit\n",nfound); TH1 *hb = s->Background(h,20,"same"); if (hb) c1->Update(); if (np <0) return; c1->cd(2); TF1 *fline = new TF1("fline","pol1",0,1000); h->Fit("fline","qn"); par[0] = fline->GetParameter(0); par[1] = fline->GetParameter(1); npeaks = 0; Double_t *xpeaks; xpeaks = s->GetPositionX(); for (p=0;pGetXaxis()->FindBin(xp); Double_t yp = h->GetBinContent(bin); if (yp-TMath::Sqrt(yp) < fline->Eval(xp)) continue; par[3*npeaks+2] = yp; // "height" par[3*npeaks+3] = xp; // "mean" par[3*npeaks+4] = 3; // "sigma" #if defined(__PEAKS_C_FIT_AREAS__) par[3*npeaks+2] *= par[3*npeaks+4] * (TMath::Sqrt(TMath::TwoPi())); // "area" #endif /* defined(__PEAKS_C_FIT_AREAS__) */ 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); TVirtualFitter::Fitter(h2,10+3*npeaks); fit->SetParameters(par); fit->SetNpx(1000); h2->Fit("fit"); gROOT->GetListOfCanvases()->Draw()