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(N)NLO+NLL’ accurate predictions for plain and groomed 1-jettiness in neutral current DIS

Knobbe, Max; Reichelt, Daniel; Schumann, Steffen

(N)NLO+NLL’ accurate predictions for plain and groomed 1-jettiness in neutral current DIS Thumbnail


Authors

Max Knobbe

Steffen Schumann



Abstract

The possibility to reanalyse data taken by the HERA experiments offers the chance to study modern QCD jet and event-shape observables in deep-inelastic scattering. To address this, we compute resummed and matched predictions for the 1-jettiness distribution in neutral current DIS with and without grooming the hadronic final state using the soft-drop technique. Our theoretical predictions also account for non-perturbative corrections from hadronisation through parton-to-hadron level transfer matrices extracted from dedicated Monte Carlo simulations with Sherpa. To estimate parameter uncertainties in particular for the beam-fragmentation modelling we derive a family of replica tunes to data from the HERA experiments. While NNLO QCD normalisation corrections to the NLO+NLL’ prediction are numerically small, hadronisation corrections turn out to be quite sizeable. However, soft-drop grooming significantly reduces the impact of non-perturbative contributions. We supplement our study with hadron-level predictions from Sherpa based on the matching of NLO QCD matrix elements with the parton shower. Good agreement between the predictions from the two calculational methods is observed.

Citation

Knobbe, M., Reichelt, D., & Schumann, S. (2023). (N)NLO+NLL’ accurate predictions for plain and groomed 1-jettiness in neutral current DIS. Journal of High Energy Physics, 2023(9), Article 194. https://doi.org/10.1007/jhep09%282023%29194

Journal Article Type Article
Acceptance Date Sep 19, 2023
Online Publication Date Sep 27, 2023
Publication Date 2023
Deposit Date Jan 9, 2024
Publicly Available Date Jan 9, 2024
Journal Journal of High Energy Physics
Print ISSN 1126-6708
Publisher Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed Peer Reviewed
Volume 2023
Issue 9
Article Number 194
DOI https://doi.org/10.1007/jhep09%282023%29194
Public URL https://durham-repository.worktribe.com/output/2073291

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