///////////////////////////////////////////////////////////////////////// // // 'BASIC FUNCTIONALITY' RooFit tutorial macro #108 // // Plotting unbinned data with alternate and variable binnings // // // 07/2008 - Wouter Verkerke // ///////////////////////////////////////////////////////////////////////// #ifndef __CINT__ #include "RooGlobalFunc.h" #endif #include "RooRealVar.h" #include "RooDataSet.h" #include "RooGaussModel.h" #include "RooDecay.h" #include "RooBMixDecay.h" #include "RooCategory.h" #include "RooBinning.h" #include "RooPlot.h" #include "TCanvas.h" #include "TAxis.h" #include "TH1.h" using namespace RooFit ; void rf108_plotbinning() { // S e t u p m o d e l // --------------------- // Build a B decay p.d.f with mixing RooRealVar dt("dt","dt",-20,20) ; RooRealVar dm("dm","dm",0.472) ; RooRealVar tau("tau","tau",1.547) ; RooRealVar w("w","mistag rate",0.1) ; RooRealVar dw("dw","delta mistag rate",0.) ; RooCategory mixState("mixState","B0/B0bar mixing state") ; mixState.defineType("mixed",-1) ; mixState.defineType("unmixed",1) ; RooCategory tagFlav("tagFlav","Flavour of the tagged B0") ; tagFlav.defineType("B0",1) ; tagFlav.defineType("B0bar",-1) ; // Build a gaussian resolution model RooRealVar dterr("dterr","dterr",0.1,1.0) ; RooRealVar bias1("bias1","bias1",0) ; RooRealVar sigma1("sigma1","sigma1",0.1) ; RooGaussModel gm1("gm1","gauss model 1",dt,bias1,sigma1) ; // Construct Bdecay (x) gauss RooBMixDecay bmix("bmix","decay",dt,mixState,tagFlav,tau,dm,w,dw,gm1,RooBMixDecay::DoubleSided) ; // S a m p l e d a t a f r o m m o d e l // -------------------------------------------- // Sample 2000 events in (dt,mixState,tagFlav) from bmix RooDataSet *data = bmix.generate(RooArgSet(dt,mixState,tagFlav),2000) ; // S h o w d t d i s t r i b u t i o n w i t h c u s t o m b i n n i n g // ------------------------------------------------------------------------------- // Make plot of dt distribution of data in range (-15,15) with fine binning for dt>0 and coarse binning for dt<0 // Create binning object with range (-15,15) RooBinning tbins(-15,15) ; // Add 60 bins with uniform spacing in range (-15,0) tbins.addUniform(60,-15,0) ; // Add 15 bins with uniform spacing in range (0,15) tbins.addUniform(15,0,15) ; // Make plot with specified binning RooPlot* dtframe = dt.frame(Range(-15,15),Title("dt distribution with custom binning")) ; data->plotOn(dtframe,Binning(tbins)) ; bmix.plotOn(dtframe) ; // NB: Note that bin density for each bin is adjusted to that of default frame binning as shown // in Y axis label (100 bins --> Events/0.4*Xaxis-dim) so that all bins represent a consistent density distribution // S h o w m i x s t a t e a s y m m e t r y w i t h c u s t o m b i n n i n g // ------------------------------------------------------------------------------------ // Make plot of dt distribution of data asymmetry in 'mixState' with variable binning // Create binning object with range (-10,10) RooBinning abins(-10,10) ; // Add boundaries at 0, (-1,1), (-2,2), (-3,3), (-4,4) and (-6,6) abins.addBoundary(0) ; abins.addBoundaryPair(1) ; abins.addBoundaryPair(2) ; abins.addBoundaryPair(3) ; abins.addBoundaryPair(4) ; abins.addBoundaryPair(6) ; // Create plot frame in dt RooPlot* aframe = dt.frame(Range(-10,10),Title("mixState asymmetry distribution with custom binning")) ; // Plot mixState asymmetry of data with specified customg binning data->plotOn(aframe,Asymmetry(mixState),Binning(abins)) ; // Plot corresponding property of p.d.f bmix.plotOn(aframe,Asymmetry(mixState)) ; // Adjust vertical range of plot to sensible values for an asymmetry aframe->SetMinimum(-1.1) ; aframe->SetMaximum(1.1) ; // NB: For asymmetry distributions no density corrects are needed (and are thus not applied) // Draw plots on canvas TCanvas* c = new TCanvas("rf108_plotbinning","rf108_plotbinning",800,400) ; c->Divide(2) ; c->cd(1) ; gPad->SetLeftMargin(0.15) ; dtframe->GetYaxis()->SetTitleOffset(1.6) ; dtframe->Draw() ; c->cd(2) ; gPad->SetLeftMargin(0.15) ; aframe->GetYaxis()->SetTitleOffset(1.6) ; aframe->Draw() ; }