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Measurements of Zγ+jets differential cross sections in pp collisions at √s = 13 TeV with the ATLAS detector ATLAS Collaboration
Abstract
Differential cross-section measurements of Zγ production in association with hadronic jets are presented, using the full 139 fb−1 dataset of √ s = 13 TeV proton–proton collisions collected by the ATLAS detector during Run 2 of the LHC. Distributions are measured using events in which the Z boson decays leptonically and the photon is usually radiated from an initial-state quark. Measurements are made in both one and two observables, including those sensitive to the hard scattering in the event and others which probe additional soft and collinear radiation. Different Standard Model predictions, from both parton-shower Monte Carlo simulation and fixed-order QCD calculations, are compared with the measurements. In general, good agreement is observed between data and predictions from MATRIX and MiNNLOPS, as well as next-to-leading-order predictions from MadGraph5_aMC@NLO and Sherpa.
Item Metadata
Title |
Measurements of Zγ+jets differential cross sections in pp collisions at √s = 13 TeV with the ATLAS detector
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Creator | |
Publisher |
Springer Berlin Heidelberg
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Date Issued |
2023-07-10
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Description |
Differential cross-section measurements of Zγ production in association with
hadronic jets are presented, using the full 139 fb−1 dataset of √
s = 13 TeV proton–proton
collisions collected by the ATLAS detector during Run 2 of the LHC. Distributions are
measured using events in which the Z boson decays leptonically and the photon is usually
radiated from an initial-state quark. Measurements are made in both one and two observables, including those sensitive to the hard scattering in the event and others which probe
additional soft and collinear radiation. Different Standard Model predictions, from both
parton-shower Monte Carlo simulation and fixed-order QCD calculations, are compared
with the measurements. In general, good agreement is observed between data and predictions from MATRIX and MiNNLOPS, as well as next-to-leading-order predictions from
MadGraph5_aMC@NLO and Sherpa.
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Subject | |
Genre | |
Type | |
Language |
eng
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Date Available |
2023-09-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International (CC BY 4.0)
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DOI |
10.14288/1.0435895
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URI | |
Affiliation | |
Citation |
Journal of High Energy Physics. 2023 Jul 10;2023(7):72
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Publisher DOI |
10.1007/JHEP07(2023)072
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty; Researcher
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Copyright Holder |
The Author(s)
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 4.0 International (CC BY 4.0)