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Threshold resummation for the production of four top quarks at the LHC

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arxiv 2212.03259 v2 pith:3X3R7ZER submitted 2022-12-06 hep-ph

classification hep-ph
keywords productioncorrectionserrorfournext-to-leadingprimeresummationtheoretical
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We compute the total cross section for $t\bar{t}t\bar{t}$ production at next-to-leading logarithmic (NLL$^{\prime}$) accuracy. This is the first time resummation is performed for a hadron-collider process with four colored particles in the final state. The calculation is matched to the next-to-leading order strong and electroweak corrections. The NLL$^{\prime}$ corrections enhance the total production rate by 26\%. The size of the theoretical error due to scale variation is reduced by close to a factor of two, bringing the theoretical error significantly below the current experimental uncertainty of the measurement.

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Forward citations

Cited by 4 Pith papers

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

  1. The inseparable three and four tops

    hep-ph 2026-07 conditional novelty 7.0 of 10

    Full-NLO predictions for tttW production, combined with tttt through a new window-removal prescription, give a joint inclusive rate more than 10% above the on-shell four-top prediction.

  2. Constraining four-heavy-quark operators with top-quark, Higgs, and electroweak precision data

    hep-ph 2025-07 conditional novelty 6.0 of 10

    A combined fit of LHC and LEP data constrains the five four-heavy-quark Wilson coefficients, and shows that gamma5-scheme choices can shift the resulting bounds.

  3. Triple top baryon $\Omega_{ttt}$

    hep-ph 2025-08 conditional novelty 5.0 of 10

    The triple-top baryon Ωttt is predicted to have mass 513.58 GeV, binding energy 4.13 GeV, and a dominant W+W+W+bbb decay, with production cross sections too small to observe at near-future colliders.

  4. Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC

    hep-ex 2025-07 reject novelty 4.0 of 10

    A hybrid GNN with a six-qubit circuit and a jet-multiplicity loss is claimed to improve classification of fully hadronic ttttW events over BDT and XGBoost in Monte Carlo, but the reported significance is inconsistent ...

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