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Jet Fractions in e+e- Annihilation

Garth Leder

TL;DR

The paper provides analytic predictions for jet fractions in $e^+e^-$ annihilation within perturbative QCD using the Leading Logarithmic Approximation, extending up to 6 jets for the JADE and Durham algorithms. It defines jet fractions $R_n$ and details the clustering measures for JADE and Durham, connecting parton-level calculations to hadron-level observations via Local Parton-Hadron Duality and Monte Carlo hadronisation models. The study leverages angular ordering and coherence of soft-gluon emissions to justify the LL framework and enable tractable analytic results. These results offer benchmarks for testing QCD, jet algorithms, and the extraction of $\\alpha_S$ and color factors from high-energy data.

Abstract

The jet fractions expected in e+e- annihilation are calculated analytically in the leading log approximation up to 6 jet order for both the JADE and Durham algorithms.

Jet Fractions in e+e- Annihilation

TL;DR

The paper provides analytic predictions for jet fractions in annihilation within perturbative QCD using the Leading Logarithmic Approximation, extending up to 6 jets for the JADE and Durham algorithms. It defines jet fractions and details the clustering measures for JADE and Durham, connecting parton-level calculations to hadron-level observations via Local Parton-Hadron Duality and Monte Carlo hadronisation models. The study leverages angular ordering and coherence of soft-gluon emissions to justify the LL framework and enable tractable analytic results. These results offer benchmarks for testing QCD, jet algorithms, and the extraction of and color factors from high-energy data.

Abstract

The jet fractions expected in e+e- annihilation are calculated analytically in the leading log approximation up to 6 jet order for both the JADE and Durham algorithms.

Paper Structure

This paper contains 3 sections, 5 equations, 1 figure.

Figures (1)

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