Bachelor Thesis Open Access

Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment

Wolter, Clemens

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Wolter, Clemens</dc:creator>
  <dc:date>2022-02-16</dc:date>
  <dc:description>A continued study on using Graph Neural Networks for the classification of additional b jets in tt+bb events at the CMS experiment.</dc:description>
  <dc:identifier>https://publish.etp.kit.edu/record/22105</dc:identifier>
  <dc:identifier>oai:publish.etp.kit.edu:22105</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>url:https://publish.etp.kit.edu/communities/cms</dc:relation>
  <dc:relation>url:https://publish.etp.kit.edu/communities/etp</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:subject>GNN</dc:subject>
  <dc:subject>Hypergraph</dc:subject>
  <dc:subject>CMS</dc:subject>
  <dc:subject>Bayesian Optimization</dc:subject>
  <dc:title>Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment</dc:title>
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:type>thesis-bachelor-thesis</dc:type>
</oai_dc:dc>
Publication date:
February 16, 2022
Keyword(s):
GNN Hypergraph CMS Bayesian Optimization
Awarding University:
Karlsruhe Institute of Technology (KIT)
Report Number:
ETP-BACHELOR-KA/2022-01
Communities:

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