Bachelor Thesis Closed Access

Search for a Dark Photon with Classifying Anomalies through Outer Density Estimation

Li, Haorui

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  "contributor": [], 
  "creator": [
    {
      "@type": "Person", 
      "name": "Li, Haorui"
    }
  ], 
  "datePublished": "2024-05-01", 
  "description": "<p>The Standard Model (SM) successfully describes fundamental particles but fails to explain dark matter (DM). The Belle II experiment searches for new particles like the dark photon <span class=\"math-tex\">\\(A'\\)</span>&nbsp;through electron-positron collisions, for example in the process <span class=\"math-tex\">\\(e^+e^- \\to \\gamma A', A' \\to \\mu^+\\mu^-\\)</span>. This thesis focuses on using the CATHODE method, which trains a classifier on Monte Carlo (MC) simulations to distinguish signal-like anomalies implying dark photons.</p>", 
  "headline": "Search for a Dark Photon with Classifying Anomalies through Outer Density Estimation", 
  "image": "https://publish.etp.kit.edu/static/img/logos/zenodo-gradient-round.svg", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
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  "keywords": [
    "dark photon", 
    "machine learning", 
    "Belle II"
  ], 
  "name": "Search for a Dark Photon with Classifying Anomalies through Outer Density Estimation", 
  "url": "https://publish.etp.kit.edu/record/22303"
}
Publication date:
May 1, 2024
Keyword(s):
dark photon machine learning Belle II
Awarding University:
Karlsruhe Institute of Technology (KIT)
Report Number:
ETP-KA/2024-06
Communities:

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