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    <identifier>10.57760/sciencedb.hjs.00515</identifier>
    <datestamp>2025-10-28T10:29:52Z</datestamp>
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  <dc:date>2025-10-28</dc:date>
  <dc:title>Research on Angle-Dependent Monte Carlo Cascade Variance Reduction Method</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.hjs.00515</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In order to verify the effectiveness of the method proposed in this article, a Monte Carlo particle transport simulation program that meets the requirements of this method was developed based on the open-source OpenMC program and written in Python language. The program was run on my laptop to calculate representative small-scale models, and the calculation results were organized in the form of a table. By comparing the FOM values, it was verified that this method can improve computational efficiency.&amp;nbsp;</dc:description>
  <dc:subject>Monte Carlo; Variance Reduction; Shielding calculation; Cascade method</dc:subject>
  <dc:creator>lu yi ran</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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