message: Fix for Dstar width initialization (Grazia)
diff: @@ -402,6 +402,9 @@ void FillSignalGraph(TList *histlist,TGraphAsymmErrors **gSignal,TGraphAsymmErro
  }
  fitter->SetInitialGaussianMean(massD);
  fitter->SetInitialGaussianSigma(0.012);
  + if (partname.Contains("Dstar")) {
  + fitter->SetInitialGaussianSigma(0.0004);
  + }
  fitter->SetUseLikelihoodFit();
  Bool_t ok=fitter->MassFitter(kFALSE);
  Double_t sigmaforcounting=0;
  @@ -459,6 +462,7 @@ void FillSignalGraph(TList *histlist,TGraphAsymmErrors **gSignal,TGraphAsymmErro
  fitter->SetFixReflOverS(sOverRef,kTRUE);
  }
  fitter->SetInitialGaussianMean(massD);
  + if (partname.Contains("Dstar")) fitter->SetInitialGaussianSigma(0.0004);
  fitter->SetUseLikelihoodFit();
  Bool_t ok=fitter->MassFitter(kFALSE);
  Double_t sigmatot=0;
  @@ -483,6 +487,7 @@ void FillSignalGraph(TList *histlist,TGraphAsymmErrors **gSignal,TGraphAsymmErro
  fitter2->SetFixReflOverS(sOverRef,kTRUE);
  }
  fitter2->SetInitialGaussianMean(massD);
  + if (partname.Contains("Dstar")) fitter2->SetInitialGaussianSigma(0.0004);
  fitter2->SetFixGaussianSigma(sigmatot);
  fitter2->SetUseLikelihoodFit();
  if(fixAlsoMass) fitter2->SetFixGaussianMean(massFromFit);
  @@ -652,6 +657,10 @@ void DmesonsFlowAnalysis(Bool_t inoutanis){
  Int_t nMassBins=histtofit->GetNbinsX();
  Double_t hmin=histtofit->GetBinLowEdge(2); // need wide range for <pt>
  Double_t hmax=histtofit->GetBinLowEdge(nMassBins-2); // need wide range for <pt>
  + if (partname.Contains("Dstar")) {
  + if (hmin < 0.140) hmin=0.140;
  + if (hmax > 0.175) hmax=0.175;
  + }
  AliHFMassFitterVAR* fitter=new AliHFMassFitterVAR(histtofit,hmin,hmax,1,typeb,types);
  if(useTemplD0Refl){
  Printf("USE TEMPLATE FOR AVERAGE Pt");
  @@ -664,6 +673,10 @@ void DmesonsFlowAnalysis(Bool_t inoutanis){
  Printf("R OVER S = %f",sOverRef);
  fitter->SetFixReflOverS(sOverRef,kTRUE);
  }
  + if (partname.Contains("Dstar")) {
  + fitter->SetInitialGaussianMean(massD);
  + fitter->SetInitialGaussianSigma(0.0004);
  + }
  fitter->MassFitter(kFALSE);
  Double_t massFromFit=fitter->GetMean();
  Double_t sigmaFromFit=fitter->GetSigma();
  