(r3) JetFlavourTagging < LinearCollider

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---++ ZZ Fusion Analysis 

%TOC%

---+++ Neural Network training

We use the flavour tagging package LCFIVertex. This package consists of a topological vertex finder ZVTOP, which reconstructs secondary interactions, and a multivariate classifier which combines several jet-related variables to tag bottom, charm, and light quark jets.

Our steering file will contain the following LCFI component processors and a neural net trainer: 
<verbatim>
  <group name="JetFinders"/>
  <group name="MyTrueAngularJetFlavourProcessorCollection"/>
  <processor name="IPRPCutProcessor"/>
  <processor name="MyPerEventIPFitterProcessor"/>
  <processor name="ZVRESRPCutProcessor"/>
  <processor name="MyZVTOP_ZVRES"/>
  <processor name="FTRPCutProcessor"/>
  <processor name="MyFlavourTagInputsProcessor"/>
  <processor name="MyNeuralNetTrainer" type="GlasgowNeuralNetTrainer"/>
</verbatim>

These processors have the following functions:

   * !IPRPCut		- selects Reconstructed Particles based on track parameters, number of hits etc.
   * !PerEventIPFitter	- finds the event Impact Parameter
   * !ZVRESRP          -  vertex finder for reconstructed particles
   * !ZVTOP_ZVRES	- topological vertex finder 
   * !FTRPCut:        - flavour tagging reconstructed particle cuts
   * !FlavourTagInputs - from vertices and tracks calculates discriminating variables for the neural net
   * !NeuralNetTrainer  - trains the networks

The neural nets are saved as XML files in =nnets/= and will be used for flavour tagging (next step). No =slcio= output is written at this time.


---+++ Flavour Tagging

   * !TrueJetFlavour	- determines MC flavour of reconstructed jets

A new file containing with these collections added is saved to be used in our analysis.

---+++ Acceptance Studies

---+++ Four Jet Events

---+++ Purity and Efficiency Studies

---+++ Electrons from Hard Bremsstrahlung

---+++ Luminosity and Event Weights

-- Main.DanProtopopescu - 2013-06-28
Topic revision: r3 - 2013-07-01 - DanProtopopescu
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