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NNLL-fast: predictions for coloured supersymmetric particle production at the LHC with threshold and Coulomb resummation

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arxiv 1607.07741 v1 pith:ZCKP2AVC submitted 2016-07-26 hep-ph hep-ex

classification hep-phhep-ex
keywords predictionsnnllresummationcorrectionscoulombcross-sectionnnll-fastproduction
verification ladder T0 review T1 audit T2 compute T3 formal
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We present state-of-the art predictions for the production of supersymmetric squarks and gluinos at the Large Hadron Collider (LHC), including soft-gluon resummation up to next-to-next-to-leading logarithmic (NNLL) accuracy, the resummation of Coulomb corrections and the contribution from bound states. The NNLL corrections enhance the cross-section predictions and reduce the scale uncertainty to a level of 5-10%. The NNLL resummed cross-section predictions can be obtained from the computer code NNLL-fast, which also provides the scale uncertainty and the pdf and alpha_s error.

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Cited by 6 Pith papers

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

  1. Search for long-lived particles using displaced vertices of oppositely charged leptons in 140 fb$^{-1}$ of pp collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

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    hep-ex 2025-11 conditional novelty 6.0 of 10

    A displaced-vertex search for compressed-spectrum long-lived particles excludes top squarks up to about 1100 GeV and wino-like neutralinos up to about 550 GeV, the strongest limits on these benchmark models.

  3. Phenomenology of Fractionally Charged Particles: Two Reps Are Better Than One

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    Adding a second fractionally charged particle can weaken existing LHC bounds on the heavy partner by factors of a few while boosting production of the light partner by up to three orders of magnitude, motivating new i...

  4. A joint explanation for the soft lepton and monojet LHC excesses in the wino-bino model

    hep-ph 2025-06 conditional novelty 6.0 of 10

    A combined fit to four LHC Run 2 searches prefers a wino-bino supersymmetric spectrum with m(wino) ~ 320 GeV and mass splitting ~ 20 GeV, compatible with bino dark matter.

  5. Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC

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    The new nonclosure loss term, made differentiable with a sigmoid approximation, lets the neural network optimize the ABCD background estimate directly, improving closure and training stability.

  6. Search for emerging jets in $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS experiment

    hep-ex 2025-10 accept novelty 5.0 of 10

    No excess of emerging-jet events appears in ATLAS Run 2 data, excluding pair-produced dark scalar mediators up to about 2 TeV for 20 GeV dark pions with 20 mm decay length.

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