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FlavourTagInputImportance processor

FlavourTagInputImportance processor. At request of CALICE Dave Bailey added code to the neural network package to calculate the relative importance of the net inputs for a given data set ; based on the same approach that is used in the TMVA package , manual p66:. implementation :

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FlavourTagInputImportance processor

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  1. FlavourTagInputImportance processor • At request of CALICE Dave Bailey added code to the neural network package • to calculate the relative importance of the net inputs for a given data set; • based on the same approach that is used in the TMVA package, manual p66: • implementation: • …/LCFIVertex/vertex_lcfi/nnet/src/InputImportance.cpp: • std::vector<double> InputImportance::operator()(const NeuralNet &theNet,const NeuralNetDataSet &theData) const • call of this code added to FlavourTag processor & values for all inputs printed to screen • for input sample

  2. Jet Charge – initial results Erik Devetak • Renormalization

  3. LCFIVertex input to ILD DST files • ILD concept is starting mass production of MC for LoI benchmark studies • based on “DST-files” with only the information needed for physics analyses • LCFIVertex will be run as part of the standard software chain • Following LCFIVertex results will be available in the DST-files: • flavour tag NN-outputs (b-, c-, bc-) • 4 MC truth values for flavour and charge • number of vertices in the jet • flavour tag inputs for the >=2 vertex case: • JointProbRPhi, JointProbZ, NumTracksInVertices, DecayLength, • DecayLengthSignficance, RawMomentum, PTCorrectedMass, SecondaryVertexProbability • This information will be added to an LCFloatVec object in the ReconstructedParticles that • Correspond to the jets in the event • NOTE: all output collections will be written to the “Full Files” for more detailed studies

  4. LCFIVertex code parameter tuning • The effort to optimise code parameters is making good progress (Roberval Walsh). • Detailed results shown in recent physics meetings; • Following track selection obtained for ZVRES: • chi2/ndf < 4; • d0 < 2mm; • d0 error < 0.007mm; • z0 (not ready!) • z0 error < 0.025mm (no change); • pT > 0.2 GeV; Idea: look for cut values that don’t degrade the reconstructed quantities, such as the secondary vertices, used as an input for the flavour tagging

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