Abstract

The prevalence of hadronic jets at the LHC requires that a deep understanding of jet formation and structure is achieved in order to reach the highest levels of experimental and theoretical precision. There have been many measurements of jet substructure at the LHC and previous colliders, but the targeted observables mix physical effects from various origins. Based on a recent proposal to factorize physical effects, this Letter presents a double-differential cross-section measurement of the Lund jet plane using 139 fb^{-1} of sqrt[s]=13 TeV proton-proton collision data collected with the ATLAS detector using jets with transverse momentum above 675GeV. The measurement uses charged particles to achieve a fine angular resolution and is corrected for acceptance and detector effects. Several parton shower MonteCarlo models are compared with the data. No single model is found to be in agreement with the measured data across the entire plane.

Highlights

  • Lpetffisffite1⁄4r presents 13 TeV a double-differential cross-section measurement proton-proton collision data collected with the of the Lund jet plane using ATLAS detector using jets with transverse momentum above 675 GeV

  • Several parton shower Monte Carlo models are compared with the data

  • The details of the process that underlies the fragmentation of quarks and gluons with quantum chromodynamic (QCD) charge into neutral hadrons is not fully understood

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Summary

ATLAS Simulation

(b) Ratio of varied parton shower algorithms. SHERPA2.2.5 (String) / SHERPA2.2.5 (AHADIC) s = 13 TeV, p > 675 GeV (c) Ratio of varied hadronization models. Varying the PS model in HERWIG7.1.3 [Fig. 1(b)] results in differences of up to 50% in the perturbative hard and wide-angle emissions entering the lower-left region of the LJP. An uncertainty for the matching procedure between emissions at detector and charged-particle levels is determined by repeating the unfolding and iterating through the C/A declustering sequence in reverse (from collinear to wideangle emissions), taking the change in the result as an uncertainty. This uncertainty is less than 1% everywhere. The average number of emissions in the fiducial region is measured to be 7.34 Æ 0.03ðsystÞ Æ 0.11ðstatÞ

MC Modeling Unfolding
Findings
Innperffiffi at s
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