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Event shapes in e+e- annihilation and deep inelastic scattering

Mrinal Dasgupta, Gavin P. Salam

TL;DR

Event shapes in $e^+e^-$ and DIS provide a precise, multi-faceted probe of QCD, combining perturbative predictions with all-order resummation and non-perturbative hadronisation effects. The review synthesizes perturbative frameworks (fixed-order, NLL resummation, and alternative approaches) with analytical and Monte Carlo models of hadronisation, emphasizing universality tests of power corrections and the extraction of $\alpha_s$ and color factors. It highlights the success of the Dokshitzer–Webber power-correction picture, the role of shape functions, and the potential of RG-improved and dressed-gluon formalisms, while noting tensions in certain observables and the need for NNLO/NNLL progress. Looking forward, three-jet observables, new processes, and automated resummation methods are poised to enhance precision and deepen understanding of confinement and hadronisation in QCD.

Abstract

This article reviews the status of event-shape studies in e+e- annihilation and DIS. It includes discussions of perturbative calculations, of various approaches to modelling hadronisation and of comparisons to data.

Event shapes in e+e- annihilation and deep inelastic scattering

TL;DR

Event shapes in and DIS provide a precise, multi-faceted probe of QCD, combining perturbative predictions with all-order resummation and non-perturbative hadronisation effects. The review synthesizes perturbative frameworks (fixed-order, NLL resummation, and alternative approaches) with analytical and Monte Carlo models of hadronisation, emphasizing universality tests of power corrections and the extraction of and color factors. It highlights the success of the Dokshitzer–Webber power-correction picture, the role of shape functions, and the potential of RG-improved and dressed-gluon formalisms, while noting tensions in certain observables and the need for NNLO/NNLL progress. Looking forward, three-jet observables, new processes, and automated resummation methods are poised to enhance precision and deepen understanding of confinement and hadronisation in QCD.

Abstract

This article reviews the status of event-shape studies in e+e- annihilation and DIS. It includes discussions of perturbative calculations, of various approaches to modelling hadronisation and of comparisons to data.

Paper Structure

This paper contains 25 sections, 34 equations, 13 figures, 2 tables.

Figures (13)

  • Figure 1: Comparison of the fixed-order (LO, NLO) and resummed (NLL) predictions for the thrust distribution in $e^+e^-$ at $Q=M_Z$. The resummed distribution has been matched ($\ln R$ scheme, see below) so as to include the full LO and NLO contributions. The inset differs from the main plot only in the scales.
  • Figure 2: Left: data for the mean value of the $e^+e^-$ thrust, compared to LO, NLO and NLO+${\cal O}\left(\Lambda/Q\right)$; right: data for the Durham jet resolution $y_{23}$ compared to the NLO prediction (figure taken from MovillaFernandez:2001ed).
  • Figure 3: Left: $\alpha_s$, $\alpha_0$ fit to $e^+e^-$ data on mean values of event shapes, with the jet masses converted to the $p$-scheme (the arrow indicates the change in going from default to $p$-scheme) Salwick. Right: fits to DIS mean event-shape data by H1 Adloff:2000Martyn:2000jk and ZEUS ZEUSmeans (curves taken from figures in Martyn:2000jkZEUSmeans). Contours indicate 1-$\sigma$ uncertainties (statistical and experimental systematic, except for the ZEUS results which are just statistical).
  • Figure 4: The mean value of the thrust distribution in $e^{+}e^{-}$ annihilation as a function of $Q$ with $\alpha_s^{\hbox{$\overline{\hbox{\tiny MS}}\,$}}({\rm M_Z})=0.110$. The upper (dashed) line corresponds to the principal value result which then is fitted to the data adding a $1/Q$ term. Figure taken from Ref. Gardtalk.
  • Figure 5: Results for $\alpha_s(M_z)$ from comparisons to $e^{+}e^{-}$ event-shape data using the RGI approach. The band shows the mean value of $\alpha_s$ and uncertainty, as obtained from the observables below the dashed line. Figure taken from Ref. Abdallah:2002xz.
  • ...and 8 more figures