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Unravelling $t\bar{t}h$ via the matrix element method

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arxiv 1304.6414 v1 pith:T6VG5LYG submitted 2013-04-23 hep-ph

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

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Associated production of the Higgs boson with a top-antitop pair is a key channel to gather further information on the nature of the newly discovered boson at the LHC. Experimentally, however, its observation is very challenging due to the combination of small rates, difficult multi-jet final states and overwhelming backgrounds. In the Standard Model the largest number of events is expected when h->bb, giving rise to a WWbbbb signature, deluged in tt+jets. A promising strategy to improve the sensitivity is to maximally exploit the theoretical information on the signal and background processes by means of the matrix element method. We show how, despite the complexity of the final state, the method can be efficiently applied to discriminate the signal against combinatorial and tt+jets backgrounds. Remarkably, we find that a moderate integrated luminosity in the next LHC run will be enough to make the signature involving both W's decaying leptonically as sensitive as the single-lepton one.

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Cited by 2 Pith papers

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

  1. Matrix element method at NLO: A fine proof of concept in POWHEG

    hep-ph 2026-06 unverdicted novelty 6.0 of 10

    Proof-of-concept for NLO matrix element method via POWHEG projections applied to fully leptonic WW production in SMEFT, demonstrating near-optimal classification of BSM versus SM events using lepton correlations.

  2. Towards a generic implementation of matrix-element maximisation as a classifier in particle physics

    hep-ph 2019-08 conditional novelty 5.0 of 10

    Matrix-element maximisation classifies ttH events with 60-85% of the significance of the traditional integration-based MEM while being up to two orders of magnitude faster.

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