October 8, 2020 Doctoral Dissertation Open Access

Heidecker, Christoph

MARC21 XML Export

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    <subfield code="a">&lt;p&gt;Accurately measured jets are mandatory for precision measurements of the Standard Model of particle physics as well as for searches for new physics.&lt;br&gt;
The increased instantaneous luminosity and center-of-mass energy at LHC Run 2 pose challenges for pileup mitigation and the measurement of jet characteristics.&lt;br&gt;
This thesis concentrates on using Z + jets events to calibrate the energy scale of jets recorded by the CMS detector in 2018.&lt;br&gt;
Furthermore, it proposes a new procedure for determining the jet momentum resolution using Z + jets events.&lt;br&gt;
This procedure is expected to allow cross-checking complementary measurement approaches and increasing the accuracy of the jet momentum resolution at the CMS experiment.&lt;br&gt;
&lt;br&gt;
Data-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.&lt;br&gt;
Besides the particle physics analysis, this thesis also focuses on accelerating data processing within a distributed computing infrastructure via a coordinated distributed caching approach.&lt;br&gt;
Coordinated 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.&lt;br&gt;
Improving the processing of data-intensive workflows aims at shortening turnaround cycles and thus deriving physics results, e.g. the jet calibration results, faster.&lt;/p&gt;</subfield>
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