30 Aralık 2024 Dergi makalesi Açık Erişim

CERN İşbirliği

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  <dc:creator>CERN İşbirliği</dc:creator>
  <dc:date>2024-12-30</dc:date>
  <dc:description>$Z$ 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 $Z$ 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 $Z+\text{jets}$ observables using $139\text{}\text{}{\mathrm{fb}}^{-1}$ of proton-proton collisions at $\sqrt{s}=13\text{}\text{}\mathrm{TeV}$ 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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/274471</dc:identifier>
  <dc:identifier>oai:aperta.ulakbim.gov.tr:274471</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>Physical Review Letters 133(26)</dc:source>
  <dc:title>Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four $Z+\text{jets}$ Kinematic Observables with the ATLAS Detector</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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