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Real radiation at NNLO: e^+e^- to 2 jets through O(alpha_s^2)

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arxiv hep-ph/0402280 v1 pith:YRRW7KV6 submitted 2004-02-26 hep-ph

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

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We present a calculation of the differential two jet cross section in e^+e^- annihilation through next-to-next-to-leading order in the strong coupling constant alpha_s. The calculation is performed using a new method for dealing with real radiation suggested by us recently. For the first time, the two jet event rate is computed directly, without any reference to the inclusive cross-section e^+e^- to hadrons. We also calculate the energy distribution of the leading jet in e^+e^- to 2 jets, and find significant modifications of the shape of this distribution at NNLO.

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Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 80 citations worldwide. Full citation record

  1. Jet production at electron-positron colliders at next-to-next-to-next-to-leading order in QCD

    hep-ph 2025-05 conditional novelty 7.0 of 10

    This paper reports the first direct fully differential N3LO QCD calculation of two-jet production in e+e- annihilation, using new antenna subtraction counterterms for triple-unresolved radiation.

  2. An Optimal Transportation Approach for Improved Confidence Intervals

    stat.ME 2026-06 unverdicted novelty 6.0 of 10

    Optimal-transport couplings are used to construct confidence intervals that reduce coverage error relative to classical quantile-based intervals, with consistency theory and data-driven hyperparameters.

  3. Monte Carlo Event Generators for Future Lepton Colliders

    hep-ph 2026-06 unverdicted novelty 2.0 of 10

    Reviews selected challenges in Monte Carlo event generators for future lepton colliders including electroweak corrections, initial-state radiation, beam dynamics, perturbative QCD and non-perturbative modelling.

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