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<p>Accurate n/γ pulse shape discrimination (PSD) is essential in radiation detection. Utilizing EJ-276 scintillator data from an Am-Be neutron source and <sup>137</sup>Cs gamma source, this study proposes a Sparrow Search Algorithm-optimized BP network (SSA-BP). Under the same measurement conditions, SSA-BP achieves 99% accuracy, surpassing traditional methods by 96–98% and a GA-BP model by 58–75%, demonstrating a computationally efficient approach for rapid discrimination in mixed radiation fields.</p>

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Optimizing n/γ pulse shape discrimination in organic scintillators: a sparrow search algorithm-enhanced BP network

  • 期刊论文

  • 发表日期：

    2025年12月9日

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  • Junxiang Mao,
  • Wenming Xia,
  • Chengqiang Liang,
  • Longfei Pu,
  • Dengjian Wu,
  • Chengxuan Peng

摘要

Accurate n/γ pulse shape discrimination (PSD) is essential in radiation detection. Utilizing EJ-276 scintillator data from an Am-Be neutron source and 137Cs gamma source, this study proposes a Sparrow Search Algorithm-optimized BP network (SSA-BP). Under the same measurement conditions, SSA-BP achieves 99% accuracy, surpassing traditional methods by 96–98% and a GA-BP model by 58–75%, demonstrating a computationally efficient approach for rapid discrimination in mixed radiation fields.