30 Aralık 2024 Dergi makalesi Açık Erişim

CERN İşbirliği

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{
  "@context": "https://schema.org/", 
  "@id": 274471, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "CERN", 
      "name": "CERN \u0130\u015fbirli\u011fi"
    }
  ], 
  "datePublished": "2024-12-30", 
  "description": "<p>$Z$ 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.</p>", 
  "headline": "Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four $Z+\\text{jets}$ Kinematic Observables with the ATLAS Detector", 
  "identifier": 274471, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four $Z+\\text{jets}$ Kinematic Observables with the ATLAS Detector", 
  "url": "https://aperta.ulakbim.gov.tr/record/274471"
}