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A new parton shower algorithm: Shower evolution, matching at leading and next-to-leading order level

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arxiv hep-ph/0601021 v2 pith:2XRY2IJR submitted 2006-01-03 hep-ph

A new parton shower algorithm: Shower evolution, matching at leading and next-to-leading order level

classification hep-ph
keywords algorithmshowerpartoncalculationscatani-seymourcooperatedipoleevolution
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In this paper we outline a new parton shower algorithm based on the Catani-Seymour dipole factorization. Our motivation is to have an algorithm which can naturally cooperate with the NLO calculations.

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Forward citations

Cited by 6 Pith papers

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

  1. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

    hep-ph 2014-05 accept novelty 7.0

    MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.

  2. Timelike showers with jet recoils

    hep-ph 2025-12 conditional novelty 6.0

    A 'jet recoil' scheme assigning momentum-balance recoil to clusters of partons chosen by angular ordering brings kt-ordered dipole parton showers to next-to-leading-logarithmic accuracy, shown by fixed-order and resum...

  3. Studying the Infrared Behaviour of Improved Logarithmic Accuracy Parton Showers with Herwig

    hep-ph 2026-05 unverdicted novelty 5.0

    Implementing improved logarithmic accuracy parton showers in Herwig reveals that differences in infrared cutoffs have important effects on hadron-level predictions and tunability.

  4. Studying the Infrared Behaviour of Improved Logarithmic Accuracy Parton Showers with Herwig

    hep-ph 2026-05 unverdicted novelty 5.0

    Implementation of two NLL-accurate dipole showers in Herwig shows that differences in infrared cutoffs produce noticeable effects at the hadron level and affect model tunability.

  5. The Monte Carlo Ecosystem in High-Energy Physics: A Primer

    hep-ph 2026-05 accept novelty 1.0

    A primer by six leading developers maps the full Monte Carlo chain (matrix elements, parton showers, hadronisation, detector simulation, tuning, analysis) and the computing and reproducibility issues that come with it.

  6. The Monte Carlo Ecosystem in High-Energy Physics: A Primer

    hep-ph 2026-05 unverdicted

    A primer that surveys the architecture, methodologies, computational challenges, and future trajectory of the Monte Carlo event generator ecosystem in collider physics.