Doctoral Dissertation Open Access
Heidecker, Christoph
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"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>",
"keywords": [
"Coordinated Distributed Caching",
"Jet Energy Scale",
"Jet Momentum Resolution",
"Jet Calibration",
"Distributed Computing"
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"language": "eng",
"publication_date": "2020-10-08",
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"title": "Doctoral Dissertation",
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"report_number": "ETP-KA/2020-22",
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"name": "Quast, G\u00fcnter"
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"name": "Rabbertz, Klaus"
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"name": "Giffels, Manuel"
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"title": "Jet Momentum Resolution for the CMS Experiment and Distributed Data Caching Strategies"
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