TMVA based framework to work with
reduced root-tuples in the final analysis stage.

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Motivation/Goals

 

Many physics analyses include a stage when most of selection optimizations are done
using set of relatively small reduced rootuples. "Small" here corresponds to a
~1M events in all rootuples described by 20-30 variables to play with.
The described tool provides the following:
- arrange input rootuples in groups of user's choice - e.g - data, signal(s), background(s)
- use the input rootuples to train and evaluate different NN discriminants based on the TMVA framework
- plot stack histograms of variables using ROOT selection machinery
- obtain a statistics to optimize selections

This page is intended to familiarize you with ...
Ntuple based analysis tool for H->ZZ->4l analysis, details in the : Dark Matter via MonoHiggs, H->ZZ->4l

Contacts

Sergey A Uzunyan (NIU, suzunyan@niuNOSPAMPLEASE.edu)

Introduction

Usage of the algorithm

Explain what a user needs to know when using the algorithm:

  • when to use this algorithm
  • configuration sequences
  • default parameters
  • how (and why) to change the default parameters
  • products

Algorithm documentation or Implementation details

Explain the design of the algorithm to ensure that the software can be maintained once the existing authors have left:

  • design arguments - why this is done as it is done
  • description of algorithm.

Testing

-- SergeyUzunyan1 - 2018-01-23

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Topic revision: r1 - 2018-01-23 - SergeyUzunyan1
 
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