학술논문

Uncovering doubly charged scalars with dominant three-body decays using machine learning
Document Type
Working Paper
Source
Subject
High Energy Physics - Phenomenology
High Energy Physics - Experiment
Language
Abstract
We propose a deep learning-based search strategy for pair production of doubly charged scalars undergoing three-body decays to $W^+ t\bar b$ in the same-sign lepton plus multi-jet final state. This process is motivated by composite Higgs models with an underlying fermionic UV theory. We demonstrate that for such busy final states, jet image classification with convolutional neural networks outperforms standard fully connected networks acting on reconstructed kinematic variables. We derive the expected discovery reach and exclusion limit at the high-luminosity LHC.
Comment: 16 pages, 14 figures, 2 technical appendices