April 3, 2024 Bachelor Thesis Open Access

Klügl, Yannis

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  "@type": "ScholarlyArticle", 
  "contributor": [
    {
      "@type": "Person", 
      "affiliation": "KIT/ETP", 
      "name": "Reuter, Lea"
    }
  ], 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "KIT/ETP", 
      "name": "Kl\u00fcgl, Yannis"
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  ], 
  "datePublished": "2024-04-03", 
  "description": "<p>This thesis describes the implementation of a C++/Python interface for a new, GNN-based tracking algorithm for the analysis software framework of the Belle II experiment. At first, the software framework and the necessity of an interface are discussed. After implementing and optimizing the interface, benchmarks on its runtime and memory consumption, as well as track finding efficiency, fake rate, and resolution of transverse momentum are performed. The results are compared to the benchmark results of the same tracking algorithm in pure Python code without the interface and the established tracking algorithm based on Legendre transformations.</p>", 
  "headline": "Development of a C++/Python Interface for a New Track Finding Algorithm in Belle II", 
  "image": "https://publish.etp.kit.edu/static/img/logos/zenodo-gradient-round.svg", 
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    "alternateName": "eng", 
    "name": "English"
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  "name": "Development of a C++/Python Interface for a New Track Finding Algorithm in Belle II", 
  "url": "https://publish.etp.kit.edu/record/22221"
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