Di-Higgs to bbττ decay and DNN Electron Identification
Penn collection
Degree type
Discipline
Subject
Atlas
Funder
Grant number
Copyright date
Distributor
Related resources
Author
Contributor
Abstract
The discovery of the Higgs boson has opened new avenues in investigating interactions in the Standard Model, particularly the self-coupling of the Higgs field. This research was centered on the Di-Higgs process, specifically the decay of one Higgs into two bottom quarks (bb) and the other into two tau leptons (ττ). I analyzed the efficiency of a variety of different High-Level triggers, with a focus on a b + τ trigger, for detecting HH -> bbττ decays. Additionally, I investigated the role of correlations on a Deep Neural Network (DNN) for Electron Identification by decorrelating the input variables through Zero-Phase Component Analysis (ZCA). My results show the b + τ trigger captures many new unique events compared to other τ triggers, and that ZCA effectively decorrelates the input variables, potentially strengthening the accuracy of the DNN. These methods and results allow for better event identification, paving the way for deeper analysis of di-Higgs events and the Higgs potential.