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March 28, 2026Journal of High Energy Physics0 citationsOpen Access

Internal multiplicity distributions of jets from nonlinear evolution within the jet function framework

PDPi DuanWKWeiyao KeGQGuang-You Qin

Key Points

  • To develop a theoretical framework for the charged-particle multiplicity distribution in jets and examine its dynamics.
  • Developed theoretical framework within the jet-function approach.
  • Evaluated charged-particle multiplicity at NLO + LL R accuracy.
  • Described parton dynamics using coupled nonlinear branching equations.
  • Validated predictions against Pythia 8 simulations and CMS data.
  • Observed distinct substructure patterns in high multiplicity jets compared to inclusive samples.
  • Noted violation of Koba-Nielsen-Olesen scaling for ν > 2 in the full solution.
  • Demonstrated that the framework captures key features seen in Monte Carlo event generators.

Abstract

A bstract Jets selected with high internal charged-particle multiplicity exhibit markedly different substructure patterns compared to inclusive jet samples. Such correlations motivate a systematic study of jet observables as a function of the normalized multiplicity, ν = N ch /〈 N ch 〉 . In this work, we develop a theoretical framework for the full charged-particle multiplicity distribution of exclusive and inclusive jets, formulated within the jet-function approach. The hard production and jet function are evaluated at NLO + LL R accuracy. The internal parton dynamics governing the multiplicity distribution are described by coupled nonlinear branching equations with angular ordering, supplemented by a nonperturbative modeling term that accounts for hadron-level effects. The resulting predictions are validated against P ythia 8 simulations and compared with CMS data. We examine the effects of both nonperturbative and perturbative components in shaping the multiplicity distribution, and show that Koba-Nielsen-Olesen (KNO) scaling is notably violated in the region ν > 2 in the full solution, with a trend consistent with Monte Carlo results. This framework that numerically solves the nonlinear multiplicity evolution goes beyond DLA-like approximations and reproduces key features seen in event generators, providing a solid foundation for future investigations of multiplicity-conditioned jet substructure within the jet function formalism.

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Cite This Study

Duan et al. (2026) studied this question.

synapsesocial.com/papers/69c772818bbfbc51511e3178https://doi.org/10.1007/jhep03(2026)243
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