4.4 Article

Colour and logarithmic accuracy in final-state parton showers

期刊

JOURNAL OF HIGH ENERGY PHYSICS
卷 -, 期 3, 页码 -

出版社

SPRINGER
DOI: 10.1007/JHEP03(2021)041

关键词

QCD Phenomenology

资金

  1. Royal Society Research Professorship [RP\R1\180112]
  2. European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [788223]
  3. Science and Technology Facilities Council (STFC) [ST/P000274/1, ST/T000856/1, ST/T000864/1]
  4. STFC [ST/P000274/1] Funding Source: UKRI

向作者/读者索取更多资源

This work focuses on correcting the subleading-colour contributions to leading and next-to-leading logarithms (NLL) for a range of observables in final-state showers. Two simple and computationally efficient prescriptions are presented to address the issue, showing correct full colour NLL terms for global observables and multiplicities. Despite remaining subleading colour issues at NLL for non-global observables, one of the schemes reproduces the correct full-colour matrix-element for any number of energy-ordered commensurate-angle pairs of emissions.
Standard dipole parton showers are known to yield incorrect subleading-colour contributions to the leading (double) logarithmic terms for a variety of observables. In this work, concentrating on final-state showers, we present two simple, computationally efficient prescriptions to correct this problem, exploiting a Lund-diagram type classification of emission regions. We study the resulting effective multiple-emission matrix elements generated by the shower, and discuss their impact on subleading colour contributions to leading and next-to-leading logarithms (NLL) for a range of observables. In particular we show that the new schemes give the correct full colour NLL terms for global observables and multiplicities. Subleading colour issues remain at NLL (single logarithms) for non-global observables, though one of our two schemes reproduces the correct full-colour matrix-element for any number of energy-ordered commensurate-angle pairs of emissions. While we carry out our tests within the PanScales shower framework, the schemes are sufficiently simple that it should be straightforward to implement them also in other shower frameworks.

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