message: patch for Kine train with minimisation
diff: @@ -1540,7 +1540,8 @@ Double_t AliFJWrapper::NSubjettiness(Int_t N, Int_t Algorithm, Double_t Radius,
  SubJets=nSub.currentSubjets();
  }
  else if (Algorithm==10){
  - fj::contrib::Nsubjettiness nSub(N, fj::contrib::MultiPass_Axes(100), fj::contrib::NormalizedMeasure(Beta,fR));
  + //fj::contrib::Nsubjettiness nSub(N, fj::contrib::MultiPass_Axes(100), fj::contrib::NormalizedMeasure(Beta,fR));
  + fj::contrib::Nsubjettiness nSub(N, fj::contrib::MultiPass_Axes(100), fj::contrib::NormalizedCutoffMeasure(Beta,fR,10.0)); //testing for KineTrain
  Result= nSub.result(fFilteredJets[0]);
  SubJet_Axes=nSub.currentAxes();
  SubJets=nSub.currentSubjets();
  @@ -1548,6 +1549,7 @@ Double_t AliFJWrapper::NSubjettiness(Int_t N, Int_t Algorithm, Double_t Radius,
  +
  SubJet1_Axis=SubJet_Axes[0];
  Double_t SubJet1_Eta=SubJet1_Axis.pseudorapidity();
  Double_t SubJet2_Eta=0.0;
  @@ -1687,7 +1689,8 @@ Double32_t AliFJWrapper::NSubjettinessDerivativeSub(Int_t N, Int_t Algorithm, Do
  SubJet_Axes=nSub.currentAxes();
  }
  else if (Algorithm==10){
  - fj::contrib::Nsubjettiness nSub(N, fj::contrib::MultiPass_Axes(100), fj::contrib::NormalizedMeasure(Beta,JetR));
  + //fj::contrib::Nsubjettiness nSub(N, fj::contrib::MultiPass_Axes(100), fj::contrib::NormalizedMeasure(Beta,JetR));
  + fj::contrib::Nsubjettiness nSub(N, fj::contrib::MultiPass_Axes(100), fj::contrib::NormalizedCutoffMeasure(Beta,JetR,10.0)); //testing for Kine trains
  Result= nSub.result(jet);
  SubJet_Axes=nSub.currentAxes();
  }
  