Doctoral Dissertation Open Access

Jet Momentum Resolution for the CMS Experiment and Distributed Data Caching Strategies

Heidecker, Christoph


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  "@type": "ScholarlyArticle", 
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  "creator": [
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      "@type": "Person", 
      "affiliation": "KIT/ETP", 
      "name": "Heidecker, Christoph"
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  "datePublished": "2020-10-08", 
  "description": "<p>Accurately measured jets are mandatory for precision measurements of the Standard Model of particle physics as well as for searches for new physics.<br>\nThe increased instantaneous luminosity and center-of-mass energy at LHC Run 2 pose challenges for pileup mitigation and the measurement of jet characteristics.<br>\nThis thesis concentrates on using Z + jets events to calibrate the energy scale of jets recorded by the CMS detector in 2018.<br>\nFurthermore, it proposes a new procedure for determining the jet momentum resolution using Z + jets events.<br>\nThis procedure is expected to allow cross-checking complementary measurement approaches and increasing the accuracy of the jet momentum resolution at the CMS experiment.<br>\n<br>\nData-intensive end-user analyses in High Energy Physics such as the presented calibration of jets put enormous challenges on the computing infrastructure since requiring high data throughput.<br>\nBesides the particle physics analysis, this thesis also focuses on accelerating data processing within a distributed computing infrastructure via a coordinated distributed caching approach.<br>\nCoordinated placement of critical data within distributed caches and matching workflows to the most suitable host in terms of cached data allows for optimizing processing efficiency.<br>\nImproving the processing of data-intensive workflows aims at shortening turnaround cycles and thus deriving physics results, e.g. the jet calibration results, faster.</p>", 
  "headline": "Jet Momentum Resolution for the CMS Experiment and Distributed Data Caching Strategies", 
  "image": "https://publish.etp.kit.edu/static/img/logos/zenodo-gradient-round.svg", 
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    "alternateName": "eng", 
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  "keywords": [
    "Coordinated Distributed Caching", 
    "Jet Energy Scale", 
    "Jet Momentum Resolution", 
    "Jet Calibration", 
    "Distributed Computing"
  ], 
  "name": "Jet Momentum Resolution for the CMS Experiment and Distributed Data Caching Strategies", 
  "url": "https://publish.etp.kit.edu/record/22011"
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