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Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four (Formula presented) Kinematic Observables with the ATLAS Detector

Aad, G. ; Åkesson, T.P.A. LU orcid ; Astrand, K.S.V. LU ; Doglioni, C. LU ; Ekman, P.A. LU orcid ; Hedberg, V. LU ; Herde, H. LU orcid ; Konya, B. LU ; Lytken, E. LU orcid and Poettgen, R. LU orcid , et al. (2024) In Physical Review Letters 133(26).
Abstract
(Formula presented) boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of (Formula presented) boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins. In this analysis, a machine learning method called omnifold is used to produce a simultaneous measurement of twenty-four (Formula presented) observables using (Formula presented) of proton-proton collisions... (More)
(Formula presented) boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of (Formula presented) boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins. In this analysis, a machine learning method called omnifold is used to produce a simultaneous measurement of twenty-four (Formula presented) observables using (Formula presented) of proton-proton collisions at (Formula presented) collected with the ATLAS detector. Unlike any previous fiducial differential cross-section measurement, this result is presented unbinned as a dataset of particle-level events, allowing for flexible reuse in a variety of contexts and for new observables to be constructed from the twenty-four measured observables. © 2024 CERN, for the ATLAS Collaboration. (Less)
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type
Contribution to journal
publication status
published
subject
keywords
Binoculars, Colliding beam accelerators, Hadrons, Kinematics, Linear accelerators, Photons, ATLAS detectors, Cross-section measurement, Differential cross-sections, Diverse range, High purity, Large Hadron Collider, Large-hadron colliders, Measurements of, Monte Carlo Event generators, Standard model, Bosons
in
Physical Review Letters
volume
133
issue
26
article number
261803
publisher
American Physical Society
external identifiers
  • scopus:85214126477
  • pmid:39878999
ISSN
0031-9007
DOI
10.1103/PhysRevLett.133.261803
language
English
LU publication?
yes
id
c88cc464-d706-49e6-896c-de96771697f5
date added to LUP
2025-12-12 13:49:47
date last changed
2025-12-13 03:42:22
@article{c88cc464-d706-49e6-896c-de96771697f5,
  abstract     = {{(Formula presented) boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of (Formula presented) boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins. In this analysis, a machine learning method called omnifold is used to produce a simultaneous measurement of twenty-four (Formula presented) observables using (Formula presented) of proton-proton collisions at (Formula presented) collected with the ATLAS detector. Unlike any previous fiducial differential cross-section measurement, this result is presented unbinned as a dataset of particle-level events, allowing for flexible reuse in a variety of contexts and for new observables to be constructed from the twenty-four measured observables. © 2024 CERN, for the ATLAS Collaboration.}},
  author       = {{Aad, G. and Åkesson, T.P.A. and Astrand, K.S.V. and Doglioni, C. and Ekman, P.A. and Hedberg, V. and Herde, H. and Konya, B. and Lytken, E. and Poettgen, R. and Simpson, N.D. and Smirnova, O. and Wallin, E.J. and Zwalinski, L.}},
  issn         = {{0031-9007}},
  keywords     = {{Binoculars; Colliding beam accelerators; Hadrons; Kinematics; Linear accelerators; Photons; ATLAS detectors; Cross-section measurement; Differential cross-sections; Diverse range; High purity; Large Hadron Collider; Large-hadron colliders; Measurements of; Monte Carlo Event generators; Standard model; Bosons}},
  language     = {{eng}},
  number       = {{26}},
  publisher    = {{American Physical Society}},
  series       = {{Physical Review Letters}},
  title        = {{Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four (Formula presented) Kinematic Observables with the ATLAS Detector}},
  url          = {{http://dx.doi.org/10.1103/PhysRevLett.133.261803}},
  doi          = {{10.1103/PhysRevLett.133.261803}},
  volume       = {{133}},
  year         = {{2024}},
}