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

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arxiv 2304.09195 v1 pith:KYB5CDF7 submitted 2023-04-18 hep-ph hep-ex

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

classification hep-ph hep-ex
keywords chargeddecaysdoublyfinalnetworksscalarsthree-bodyacting
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Composite top partners in exotic colour representations

    hep-ph 2026-05 unverdicted novelty 6.0

    Colour-sextet top partners in composite Higgs models are excluded up to 2-2.5 TeV by current LHC data via top-rich decays, with HL-LHC reach near 3 TeV.

  2. Dark matter in composite Higgs models with a scotogenic EFT

    hep-ph 2026-07 conditional novelty 5.0

    In the SU(6)/Sp(6) composite Higgs model with a scotogenic Z2, three of four neutral pseudo-Goldstone dark matter candidates can reproduce the observed relic density, while the SU(2)L triplet candidate fails; spin-1 r...

  3. Phenomenology of electroweak spin-1 resonances

    hep-ph 2026-05 unverdicted novelty 4.0

    Composite Higgs models with SU(2)_L × SU(2)_R predict spin-1 resonances mixing with electroweak bosons that remain viable at the LHC down to masses of about 1.5 TeV.