Journal of High Energy Physics (Mar 2025)

A collinear shower algorithm for NSL non-singlet fragmentation

  • Melissa van Beekveld,
  • Mrinal Dasgupta,
  • Basem Kamal El-Menoufi,
  • Jack Helliwell,
  • Pier Francesco Monni,
  • Gavin P. Salam

DOI
https://doi.org/10.1007/JHEP03(2025)209
Journal volume & issue
Vol. 2025, no. 3
pp. 1 – 35

Abstract

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Abstract We formulate a collinear partonic shower algorithm that achieves next-to-single-logarithmic (NSL, α s n L n − 1 $$ {\alpha}_s^n{L}^{n-1} $$ ) accuracy for collinear-sensitive non-singlet fragmentation observables. This entails the development of an algorithm for nesting triple-collinear splitting functions. It also involves the inclusion of the one-loop double-collinear corrections, through a z-dependent NLO-accurate effective 1 → 2 branching probability, using a formula that can be applied more generally also to future full showers with 1 → 3 splitting kernels. The specific NLO branching probability is calculated in two ways, one based on slicing, the other using a subtraction approach based on recent analytical calculations. We close with demonstrations of the shower’s accuracy for non-singlet partonic fragmentation functions and the energy spectrum of small-R quark jets. This work represents an important conceptual step towards general NNLL accuracy in parton showers.

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