English

A reanalysis of event shape distributions in electron-positron annihilation

High Energy Physics - Phenomenology 2025-08-04 v2 High Energy Physics - Experiment

Abstract

Theoretical calculations for event shape observables are often determined by using the conventional scale setting; i.e. the procedure defined by setting the renormalization scale to the center-of-mass energy μr=s\mu_r=\sqrt{s} and evaluating theoretical uncertainties by varying the same scale μr\mu_r in an arbitrary range. Both the event shape distributions and the extracted QCD coupling αs\alpha_s are plagued by the large renormalization scale uncertainties when using the conventional scale setting. The Principle of Maximum Conformality (PMC) provides a rigorous method to eliminate the renormalization scheme and scale ambiguities in perturbative QCD predictions. In this paper, we perform a detailed analysis of the event shape observables by applying the PMC method together with the use of the physical VV-scheme. The PMC scales are not simple single-valued functions, but depend with continuity on the value of the unintegrated event shape variable. This reflects the virtuality of the underlying quark and gluon subprocess and yields to a physical behavior of the scale all over the entire range of each observable. Moreover, the PMC scales in the VV-scheme exhibits a faster increase compared to the MS\overline{\rm MS} scheme, and a better convergence in the perturbative series can be obtained. Results obtained by the PMC method for the event shape variables, thrust (TT), heavy jet mass (ρ=MH2/s\rho=M^2_H/s), wide jet broadening (BWB_W), total jet broadening (BTB_T), C-parameter (CC), are in agreement with the high precision experimental data, and for the case of the jet transition variable Y3Y_3, we obtain a first improvement in the results to some extent compared with the MS\overline{\rm MS} scheme.

Keywords

Cite

@article{arxiv.2503.06130,
  title  = {A reanalysis of event shape distributions in electron-positron annihilation},
  author = {Zhu-Yu Ren and Sheng-Quan Wang and Jian-Ming Shen and Xing-Gang Wu and Leonardo Di Giustino},
  journal= {arXiv preprint arXiv:2503.06130},
  year   = {2025}
}

Comments

10 pages, 9 figures, published version