Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding

dc.citation.articleNumber132002en_US
dc.citation.issueNumber13en_US
dc.citation.journalTitlePhysical Review Lettersen_US
dc.citation.volumeNumber128en_US
dc.contributor.authorH1 Collaborationen_US
dc.date.accessioned2022-04-28T14:28:53Zen_US
dc.date.available2022-04-28T14:28:53Zen_US
dc.date.issued2022en_US
dc.description.abstractThe first measurement of lepton-jet momentum imbalance and azimuthal correlation in lepton-proton scattering at high momentum transfer is presented. These data, taken with the H1 detector at HERA, are corrected for detector effects using an unbinned machine learning algorithm (multifold), which considers eight observables simultaneously in this first application. The unfolded cross sections are compared with calculations performed within the context of collinear or transverse-momentum-dependent factorization in quantum chromodynamics as well as Monte Carlo event generators.en_US
dc.identifier.citationH1 Collaboration. "Measurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfolding." <i>Physical Review Letters,</i> 128, no. 13 (2022) American Physical Society: https://doi.org/10.1103/PhysRevLett.128.132002.en_US
dc.identifier.digitalPhysRevLett-128-132002en_US
dc.identifier.doihttps://doi.org/10.1103/PhysRevLett.128.132002en_US
dc.identifier.urihttps://hdl.handle.net/1911/112173en_US
dc.language.isoengen_US
dc.publisherAmerican Physical Societyen_US
dc.rightsPublished by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleMeasurement of Lepton-Jet Correlation in Deep-Inelastic Scattering with the H1 Detector Using Machine Learning for Unfoldingen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
PhysRevLett-128-132002.pdf
Size:
593.76 KB
Format:
Adobe Portable Document Format