在CSNS的电网电离室中使用改进的带光粒子识别方法 Back-n 白中子源.
Hai-Zheng Chen1, Juan Liu2, Ruirui Fan3
1Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China; Institute of High Energy Physics, Chinese Academy of Sciences (CAS), Beijing 100049, China; Spallation Neutron Source Science Center (SNSSC), Dongguan, 523803, China.
概括
这项研究引入了一种新方法,用于准确测量高中子流量设施的粒子产量. 它对同时发生的粒子事件进行校正,提高核反应研究的数据准确性.
科学领域:
- 核物理 核物理 核物理
- 探测器技术 探测器技术
- 粒子物理学 粒子物理学
背景情况:
- 位于中国分裂中子源 (CSNS) 的带光粒子探测器阵列 (LPDA) 由于高中子流量而面临事件堆积.
- 现有的Li6反应道的方法低估了粒子产量,因为它们忽略了同时发生的三事件.
研究的目的:
- 开发一种新的方法来解决高流量环境中的堆积事件.
- 通过同时检测粒子来准确量化颗粒产量.
主要方法:
- 开发了一个新的函数g,R,E,以将粒子能量 (E) 与电离范围 (R,E) 相关联.
- 对从0.3 eV到1 MeV的中子能量数据进行了多参数分析.
- 使用统计分布来提取双重三重事件的比例.
主要成果:
- 双重三重音事件被确定为3.4%的总数.
- 特里顿事件占总数的94.6%.
- 无效事件占总数的2%.
结论:
- 提出的方法在高流量条件下成功地解决了堆积事件.
- 这项工作为在核反应堆和加速器驱动系统等高速环境中探测器设计提供了可行的方法.
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