Top Quark Tagging using Convolutional Neural Networks

The scope of this project concentrates mainly on tagging the hadronic top quark signal versus W and QCD jets taken both as background. Jets are represented as 2d projections either in η−φ palne or lund plane. The performance obtained was compared with the two approaches using one of the Machine Learning algorithms called Convolutional Neural Network (CNN).