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

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Title
Uncovering doubly charged scalars with dominant three-body decays using machine learning
Author(s)
Flacke, Thomas; Jeong Han Kim; Kunkel, Manuel; Ko, Pyungwon; Pi, Jun Seung; Porod, Werner; Schwarze, Leonard
Publication Date
2023-11
Journal
Journal of High Energy Physics, v.2023, no.11
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
We propose a deep learning-based search strategy for pair production of doubly charged scalars undergoing three-body decays to W+tb¯ 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. © 2023, The Author(s).
URI
https://pr.ibs.re.kr/handle/8788114/14649
DOI
10.1007/JHEP11(2023)009
ISSN
1126-6708
Appears in Collections:
Center for Fundamental Theory(순수물리이론 연구단) > 1. Journal Papers (저널논문)
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