2020
DOI: 10.1007/jhep04(2020)112
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Resummed predictions for jet-resolution scales in multijet production in e+e− annihilation

Abstract: We present for the first time resummed predictions at NLO + NLL accuracy for the Durham jet-resolution scales y n,n+1 in multijet production in e + e − collisions. Results are obtained using an implementation of the well known CAESAR formalism within the SHERPA framework. For the 4-, 5-and 6-jet resolutions we discuss in particular the impact of subleading colour contributions and compare to matrix-element plus parton-shower predictions from SHERPA and VINCIA.

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Cited by 29 publications
(36 citation statements)
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References 117 publications
(165 reference statements)
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“…[29]. We have a particle a with momentum 25) which splits into particles b and c, whose momenta are given by λ (1, b, c)] , (5.26) where λ is the Källén function defined in Eqn. 29) and…”
Section: Global Recoilmentioning
confidence: 99%
“…[29]. We have a particle a with momentum 25) which splits into particles b and c, whose momenta are given by λ (1, b, c)] , (5.26) where λ is the Källén function defined in Eqn. 29) and…”
Section: Global Recoilmentioning
confidence: 99%
“…We will present the general formalism to do so, we focus on groomed transverse thrust for concrete results. In what follows we make use of the implementation of the CAESAR formalism in the SHERPA framework presented originally presented in [50] which we recently also applied to obtain resummed predictions for soft-drop thrust [32] and multijet resolution scales [63] in electronpositron collisions.…”
Section: Caesar In a Nutshellmentioning
confidence: 99%
“…see ref. [63], averaged over the final-state particles only, here n = 2. Per default we will assume p = 1.…”
Section: Matching To Nlo and Achieving Nll Accuracymentioning
confidence: 99%
“…A recent calculation is the one presented in [43], closely following the precise measurement prescription in [36] for the groomed and ungroomed angularities measured on the leading anti-k t jet in Z+jet production. It is based on the CAESAR formalism [5] for NLL resummation and uses the automated implementation [48,49] available within the SHERPA [50,51] framework. The extension to soft drop groomed observables was introduced in [17].…”
Section: Pos(lhcp2021)274mentioning
confidence: 99%