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

%COMPLETE1%

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