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在数字化器中超范围波形的n-γ区分方法.

Cui Yaoxuan1, Gao Zhichao1, Ma Fei2

  • 1Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China; University of Chinese Academy of Sciences, School of Nuclear Science and Technology, Beijing, China.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
|August 20, 2025
PubMed
概括

这项研究引入了一种新的脉冲形状歧视 (PSD) 方法,用于在超范围波形中准确区分中子和马信号. 该技术有效地将中子信号与马信号分离,提高数字化器中的数据处理可靠性.

关键词:
数字化器的数字化器超范围波形是超范围波形.脉冲形状的歧视脉冲形状的歧视n-γ 是一种歧视.

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科学领域:

  • 核仪器仪表和测量 核仪器仪表和测量 核仪器仪表和测量
  • 辐射检测和光谱学
  • 信号处理在物理学中的信号处理

背景情况:

  • 中子-马区分在各种应用中至关重要,包括核物理研究和辐射检测.
  • 数字化器中的超范围波形对传统的脉冲形状歧视 (PSD) 技术构成重大挑战.
  • 当前的方法在波形超过数字化器的动态范围时,难以有效地分离中子和马信号.

研究的目的:

  • 开发和验证一种创新的PSD方法,用于超范围波形中中子-马差别.
  • 调查超范围波形对PSD频谱质量和歧视性能的影响.
  • 为处理高能辐射事件的数字化器提供可靠的解决方案,用于精确的信号处理.

主要方法:

  • 使用DT5751数字化器和EJ-301探测器从加利福尼亚-252 (Cf) 中子源获取信号波形.
  • 超范围波形的分类,基于表面点的数量.
  • 精确设置 mesa 区域末端的长门和短门位置,以加强区分.

主要成果:

  • 提出的方法成功地分类了超范围波形,揭示了PSD光谱中中子和马信号之间的明显差异.
  • 实现了超范围中子信号与马信号的有效分离.
  • 该技术在具有挑战性的波形数据的n-γ区分能力方面取得了显著的改进.

结论:

  • 开发的PSD方法提供了一种高效可靠的方法,用于在超范围波形中进行中子-马区分.
  • 这种技术提高了数字化器在具有混合辐射场的环境中的数据处理能力.
  • 这些发现有助于推进辐射检测和测量技术.