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Precision NNLO determination of alpha_s(M_Z) using an unbiased global parton set

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arxiv 1110.2483 v2 pith:GO2SBZW7 submitted 2011-10-11 hep-ph

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

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We determine the strong coupling alpha_s at NNLO in perturbative QCD using the global dataset input to the NNPDF2.1 NNLO parton fit: data from neutral and charged current deep-inelastic scattering, Drell-Yan, vector boson production and inclusive jets. We find alpha_s(M_Z)=0.1173+- 0.0007 (stat), where the statistical uncertainty comes from the underlying data and uncertainties due to the analysis procedure are negligible. We show that the distribution of alpha_s values preferred by different experiments in the global fit is statistically consistent, without need for rescaling uncertainties by a "tolerance" factor. We show that if deep-inelastic data only are used, the best-fit value of alpha_s is somewhat lower, but consistent within one sigma with the global determination. We estimate the dominant theoretical uncertainty, from higher orders corrections, to be Delta alpha_s (pert) ~ 0.0009.

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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. A Determination of ${\alpha}_s(m_Z)$ at ${\bf aN^3LO_{QCD}}\otimes {\bf {NLO}_{QED}}$ Accuracy from a Global PDF Analysis

    hep-ph 2025-06 conditional novelty 6.0 of 10

    From a global QCD-QED parton fit with NNPDF4.0 methodology, the authors determine alpha_s(m_Z)=0.1194^{+0.0007}_{-0.0014}, consistent with the PDG average and recent lattice results.

  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.

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