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<p>In prompt gamma neutron activation analysis, neutron self-shielding effects constitute a critical factor influencing the accuracy of quantitative elemental analysis. This study develops a neutron self-shielding correction method integrating Monte Carlo simulations with an optimization algorithm. Measurements were conducted using Cl as the target analyte with an Am-Be neutron source and a high-purity germanium detector. A functional relationship between Cl concentration and characteristic gamma-ray counts was established, and a leave-one-out cross-validation was applied. The concentrations of unknown samples were predicted via the optimization algorithm. The results demonstrate that the relative errors between predicted and reference values remain below 8%.</p>

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A method for correcting neutron self-shielding in PGNAA using optimization algorithms and Monte Carlo simulations

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • Zhenhua Zhang,
  • Zeliang Wang,
  • Can Cheng,
  • Wenbao Jia,
  • Chenmin Xiao,
  • Yumeng Cui

摘要

In prompt gamma neutron activation analysis, neutron self-shielding effects constitute a critical factor influencing the accuracy of quantitative elemental analysis. This study develops a neutron self-shielding correction method integrating Monte Carlo simulations with an optimization algorithm. Measurements were conducted using Cl as the target analyte with an Am-Be neutron source and a high-purity germanium detector. A functional relationship between Cl concentration and characteristic gamma-ray counts was established, and a leave-one-out cross-validation was applied. The concentrations of unknown samples were predicted via the optimization algorithm. The results demonstrate that the relative errors between predicted and reference values remain below 8%.