23x = ROOT.RooRealVar(
"x", 
"x", -10, 10)
 
   24mean = ROOT.RooRealVar(
"mean", 
"mean", -3, 3)
 
   25sigma = ROOT.RooRealVar(
"sigma", 
"sigma", 0.5, 0.1, 10)
 
   26modelx = ROOT.RooGaussian(
"gx", 
"gx", x, mean, sigma)
 
   29a = ROOT.RooRealVar(
"a", 
"a", 2, 1, 10)
 
   30model_mean = ROOT.RooGenericPdf(
"model_mean", 
"abs(mean)<a", [mean, a])
 
   33x.setBins(1000, 
"cache")
 
   34mean.setBins(50, 
"cache")
 
   35model = ROOT.RooFFTConvPdf(
"model", 
"model", mean, modelx, model_mean)
 
   40model.setCacheObservables({x})
 
   41model.setBufferFraction(1.0)
 
   44projModel = model.createProjection({mean})
 
   47d = projModel.generateBinned({x}, 1000)
 
   50projModel.fitTo(d, Verbose=
True, PrintLevel=-1)
 
   53frame = x.frame(Bins=25)
 
   55projModel.plotOn(frame)
 
   58hh = model.createHistogram(
 
   62    YVar=dict(var=mean, Binning=50),
 
   63    ConditionalObservables={mean},
 
   65hh.SetTitle(
"histogram of model(x|mean)")
 
   66hh.SetLineColor(ROOT.kBlue)
 
   69c = ROOT.TCanvas(
"rf211_paramconv", 
"rf211_paramconv", 800, 400)
 
   72ROOT.gPad.SetLeftMargin(0.15)
 
   73frame.GetYaxis().SetTitleOffset(1.4)
 
   76ROOT.gPad.SetLeftMargin(0.20)
 
   77hh.GetZaxis().SetTitleOffset(2.5)
 
   80c.SaveAs(
"rf211_paramconv.png")