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NNLO QCD corrections for Z boson plus jet production

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arxiv 1601.04569 v2 pith:VPY35HT4 submitted 2016-01-18 hep-ph

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

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abstract

We discuss the next-to-next-to-leading order (NNLO) QCD corrections to Z boson production in association with a jet including all partonic channels at all color levels and including the leptonic decay of the Z boson. We focus on the optimization of the numerical evaluation of the double-real contribution and demonstrate that our procedure for spreading the Monte Carlo integration over $\mathcal{O}(1000)$ cores and recombining the results afterwards lead to stable results with sensible error estimates. We apply representative cuts on the jet and charged lepton transverse momenta and pseudorapidities at LHC energies and present the transverse momentum and rapidity distributions of the charged leptons.

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Cited by 3 Pith papers

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

  1. Precise Determination of the Strong Coupling Constant from Dijet Cross Sections up to the Multi-TeV Range

    hep-ph 2024-12 conditional novelty 6.0 of 10

    A complete NNLO QCD fit to LHC and HERA dijet data yields alpha_s(m_Z) = 0.1178 with a total uncertainty of 0.0022 and tests the running coupling from 7 GeV up to 7 TeV.

  2. New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC

    hep-ph 2019-12 unverdicted novelty 5.0 of 10

    New CT18 PDFs at NLO and NNLO from global fit to HERA plus LHC jet, Drell-Yan, top-pair and Z data, with Hessian errors, Lagrange-multiplier studies, and alternate sets for data tensions and scale choices.

  3. The impact of LHC precision measurements of inclusive jet and dijet production on the CTEQ-TEA global PDF fit

    hep-ph 2024-11 conditional novelty 4.0 of 10

    New LHC inclusive jet data push the CT18 gluon harder at high x and shrink its uncertainty, while dijet data show stronger scale dependence and are set aside.

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