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Probing the Triple Higgs Self-Interaction at the Large Hadron Collider

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arxiv 1807.11498 v2 pith:TBB5VBHB submitted 2018-07-30 hep-ph

classification hep-ph
keywords productionhiggskinematicmethodvariableswellalgorithmsanalyses
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We propose a novel kinematic method to expedite the discovery of the double Higgs ($hh$) production in the $\ell^+\ell^- b \bar{b} + E_T \hspace{-0.52cm} \big / ~$ final state. We make full use of recently developed kinematic variables, as well as the variables $\it Topness$ for the dominant background (top quark pair production) and $\it Higgsness$ for the signal. We obtain a significant increase in sensitivity compared to the previous analyses which used sophisticated algorithms like boosted decision trees or neutral networks. The method can be easily generalized to resonant $hh$ production as well as other non-resonant channels.

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Forward citations

Cited by 2 Pith papers

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

  1. Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC

    hep-ph 2025-05 conditional novelty 5.0 of 10

    An attention-based full-event classifier constrains the Higgs self-coupling to (-0.53, 6.01) at 68% CL in the HH to 4b channel, a projected improvement over cut-based analyses.

  2. Improved analysis of non-resonant Higgs boson pair production in the $b\bar{b}\tau^+\tau^-$ final state with $196$ fb$^{-1}$ of data collected at $\sqrt{s}$ = 13 TeV and 13.6 TeV with the ATLAS detector

    hep-ex 2026-07 accept novelty 4.5 of 10

    ATLAS finds μ_HH = 2.6^{+1.4}_{-1.0} in bbττ with Run 2+3 data, 2.6σ over background-only, and first 3.5σ evidence for ZH in this final state.

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