Bachelor Thesis Closed Access

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

Li, Haorui

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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>Li, Haorui</dc:creator>
  <dc:date>2024-05-01</dc:date>
  <dc:description>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 \(A'\) through electron-positron collisions, for example in the process \(e^+e^- \to \gamma A', A' \to \mu^+\mu^-\). 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.</dc:description>
  <dc:identifier>https://publish.etp.kit.edu/record/22303</dc:identifier>
  <dc:identifier>oai:publish.etp.kit.edu:22303</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>url:https://publish.etp.kit.edu/communities/belle2</dc:relation>
  <dc:relation>url:https://publish.etp.kit.edu/communities/etp</dc:relation>
  <dc:rights>info:eu-repo/semantics/closedAccess</dc:rights>
  <dc:subject>dark photon</dc:subject>
  <dc:subject>machine learning</dc:subject>
  <dc:subject>Belle II</dc:subject>
  <dc:title>Search for a Dark Photon with Classifying Anomalies through Outer Density Estimation</dc:title>
  <dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
  <dc:type>thesis-bachelor-thesis</dc:type>
</oai_dc:dc>
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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