1 Ocak 2021 Dergi makalesi Açık Erişim

CERN İşbirliği

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{
  "@context": "https://schema.org/", 
  "@id": 240488, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "CERN", 
      "name": "CERN \u0130\u015fbirli\u011fi"
    }
  ], 
  "datePublished": "2021-01-01", 
  "description": "<p>Jet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a 'unified flow object' is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at     $\\sqrt{s}=13\\phantom{\\rule{3.33333pt}{0ex}}\\text{TeV}$   during 2017.</p>", 
  "headline": "Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton\u2013proton collisions", 
  "identifier": 240488, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton\u2013proton collisions", 
  "url": "https://aperta.ulakbim.gov.tr/record/240488"
}