首页> 外文会议>2010 IEEE Nuclear Science Symposium : Conference Record >Reference-pulses neutron/gamma-ray pulse shape discrimination in liquid scintillators for deposited neutron energies from 200 keV
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Reference-pulses neutron/gamma-ray pulse shape discrimination in liquid scintillators for deposited neutron energies from 200 keV

机译:液体闪烁体中从200 keV起沉积的中子能量的参考脉冲中子/伽马射线脉冲形状判别

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A hybrid pulse shape discrimination (PSD) method is presented that combines a charge-integration PSD method with a reference-pulses PSD method. The reference-pulses PSD method uses detailed knowledge of the average, energy-dependent detector response to radiation. To obtain the reference pulses, a large number of neutron and gamma-ray pulses were averaged in several pulse height regions. The reference neutron and gamma-ray pulses were then used in the new PSD method for the classification of ‘known’ measured pulses. The reference-pulses PSD method was applied below 70 keVee (keV electron equivalent), whereas the standard charge-integration PSD method was used above 70 keVee. This new hybrid PSD method proves to be more accurate than the standard charge-integration PSD method for classification of neutrons and gamma rays. Specifically, the improvement is approximately 30% for neutrons between 20 and 30 keVee (corresponding to approximately 50 and 225 keV neutron energy deposited). For this pulse height bin, approximately 72% of the neutrons were correctly classified by the hybrid PSD method. The average number of correctly classified neutrons is approximately 88% for the hybrid PSD method between 20 and 100 keVee (150 and 670 keV neutron energy deposited) as opposed to 83% for the charge-integration PSD method.
机译:提出了一种混合脉冲形状鉴别(PSD)方法,该方法将电荷积分PSD方法与参考脉冲PSD方法相结合。参考脉冲PSD方法使用了平均的,与能量有关的探测器对辐射的响应的详细知识。为了获得参考脉冲,在几个脉冲高度区域中平均大量中子和伽马射线脉冲。然后,在新的PSD方法中将参考中子和伽马射线脉冲用于“已知”测量脉冲的分类。在70 keVee(keV电子当量)以下使用参考脉冲PSD方法,而在70 keVee以上使用标准电荷积分PSD方法。事实证明,这种新的混合PSD方法比用于中子和伽马射线分类的标准电荷积分PSD方法更准确。具体而言,对于介于20和30 keVee之间的中子(相当于沉积了大约50和225 keV中子能量),改进约为30%。对于此脉冲高度仓,通过混合PSD方法正确分类了约72%的中子。混合PSD方法在20和100 keVee之间(沉积的150和670 keV中子能量)之间,正确分类的中子的平均数目约为88%,而电荷积分PSD方法的平均数目为83%。

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