DownstreamTracking-SeedCLF

The repository contains code for my engineering thesis "Track classification using machine learning techniques for LHCb experiment"

Diploma thesis PDF

Contents:

1. Seed Classifier Development - Python code and notebooks for building, training and evaluating the Neural Network model for T-seed classification.
2. Seed Classifier Implementation - C++ code which implements the exported model inside the PatLongLivedTracking algorithm[1][2] using the LWTNN library[3]
3. Seed Classifier Performance Analysis - evaluation of Downstream Tracking efficiency with the new algorithm
4. data - input training files and ROOT -> Python converter
5. models - final model json files

Read more:

1.PatLongLivedTracking

2.Downstream Tracking study

3.LWTNN

4.LHCb Tracking