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Neutron/Gam ma-Ray Pulse Shape Discrimination with Liquid Scintillation Detectors Based on Average Pulses

机译:基于平均脉冲的带有液体闪烁检测器的中子/伽马射线脉冲形状识别

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摘要

In this paper, we present a new pulse shape discrimination (PSD) method that is based on detailed knowledge of the average detector response to radiation. Traditionally, PSD has been performed using standard methods such as charge integration. In this work, average pulses were obtained for several pulse height regions separately for neutrons and gamma rays. The average neutron and gamma-ray pulses were used in the new PSD algorithm for classification of a large number of measured pulses. This new PSD approach proves to be more accurate than the standard charge-integration PSD for neutron and gamma rays under 70 keVee (keV electron equivalent; 450 keV neutron energy). Specifically, the improvement is approximately 40 percent for neutrons in the smallest pulse height bin considered, which was between 23 and 30 keVee (corresponding to approximately 175 keV and 225 keV neutron energy, respectively). For this pulse height bin, approximately 66 percent of the neutrons were correctly classified. The average number of correctly classified neutrons is approximately 82 percent for the average-pulses PSD method between 23 and 100 keVee (corresponding to approximately 175 keV and 670 keV neutron energy, respectively).
机译:在本文中,我们提出了一种新的脉冲形状识别(PSD)方法,该方法基于对平均探测器对辐射的响应的详细知识。传统上,PSD是使用诸如电荷积分之类的标准方法执行的。在这项工作中,分别为中子和伽马射线获得了几个脉冲高度区域的平均脉冲。在新的PSD算法中,平均中子脉冲和伽马射线脉冲被用于对大量测量脉冲进行分类。对于在70 keVee(keV电子当量; 450 keV中子能)下的中子和伽马射线,这种新的PSD方法被证明比标准电荷积分PSD更准确。具体而言,对于所考虑的最小脉冲高度仓中的中子,其改进约为40%,介于23和30 keVee之间(分别对应于约175 keV和225 keV的中子能量)。对于该脉冲高度仓,大约有66%的中子被正确分类。对于平均脉冲PSD方法,正确分类的中子的平均数量约为23到100 keVee之间的82%(分别对应于大约175 keV和670 keV的中子能量)。

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  • 来源
    《Journal of Nuclear Materials Management》 |2009年第1期|48-54|共7页
  • 作者单位

    Department of Nuclear Engineering & Radiological Sciences, University of Michigan, Ann Arbor, Michigan USA;

    Department of Nuclear Engineering & Radiological Sciences, University of Michigan, Ann Arbor, Michigan USA;

    Department of Nuclear Engineering & Radiological Sciences, University of Michigan, Ann Arbor, Michigan USA;

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