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Introduction to the PanScales framework, version 0.1

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arxiv 2312.13275 v1 pith:4K7LUY5I submitted 2023-12-20 hep-ph

Melissa van Beekveld , Mrinal Dasgupta , Basem Kamal El-Menoufi , Silvia Ferrario Ravasio , Keith Hamilton , Jack Helliwell , Alexander Karlberg , Rok Medves
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Pier Francesco Monni Gavin P. Salam Ludovic Scyboz Alba Soto-Ontoso Gregory Soyez Rob Verheyen
This is my paper
classification hep-ph
keywords logarithmicsometestscodeframeworkpanscalespartonshowers
verification ladder T0 review T1 audit T2 compute T3 formal
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In this article, we document version 0.1 of the PanScales code for parton shower simulations. With the help of a few examples, we discuss basic usage of the code, including tests of logarithmic accuracy of parton showers. We expose some of the numerical techniques underlying the logarithmic tests and include a description of how users can implement their own showers within the framework. Some of the simpler logarithmic tests can be performed in a few minutes on a modern laptop. As an early step towards phenomenology, we also outline some aspects of a preliminary interface to Pythia, for access to its hard matrix elements and its hadronisation modules.

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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. Sudakov evolution without unitarity

    hep-ph 2025-06 accept novelty 7.0 of 10

    Sunshine removes Sudakov factors from parton-shower sampling by keeping every intermediate state, giving direct tree-level expansions and enabling tests of matrix-element corrections.

  2. Timelike showers with jet recoils

    hep-ph 2025-12 conditional novelty 6.0 of 10

    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. The PYTHIA Facility

    hep-ph 2026-03 conditional novelty 4.0 of 10

    PYTHIA is presented as a 'big science facility' in software form: since 2018 its manuals drew ~9,600 citing works and ~47,000 unique authors across LHC, heavy-ion, flavor, astroparticle, and ML-for-physics communities.

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