Uncovering doubly charged scalars with dominant three-body decays using machine learning

Autor:	Flacke, Thomas, Kim, Jeong Han, Kunkel, Manuel, Ko, Pyungwon, Pi, Jun Seung, Porod, Werner, Schwarze, Leonard
Rok vydání:	2023
Předmět:	High Energy Physics - Phenomenology High Energy Physics - Experiment
Druh dokumentu:	Working Paper
Popis:	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
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.09195 Zobrazit plný text záznamu View this record from Arxiv