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Digital pile-up rejection for plutonium experiments with solution-grown stilbene

机译:用溶液生长的二苯乙烯进行p实验的数字堆积排斥

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A solution-grown stilbene detector was used in several experiments with plutonium samples including plutonium oxide, mixed oxide, and plutonium metal samples. Neutrons from different reactions and plutonium isotopes are accompanied by numerous gamma rays especially by the 59-keV gamma ray of ~(241)Am. Identifying neutrons correctly is important for nuclear nonproliferation applications and makes neutron/gamma discrimination and pile-up rejection necessary. Each experimental dataset is presented with and without pile-up filtering using a previously developed algorithm. The experiments were simulated using MCNPX-PoliMi, a Monte Carlo code designed to accurately model scintillation detector response. Collision output from MCNPX-PoliMi was processed using the specialized MPPost post-processing code to convert neutron energy depositions event-by-event into light pulses. The model was compared to experimental data after pulse-shape discrimination identified waveforms as gamma ray or neutron interactions. We show that the use of the digital pile-up rejection algorithm allows for accurate neutron counting with stilbene to within 2% even when not using lead shielding.
机译:溶液生长的二苯乙烯检测器用于experiments样品,包括氧化oxide,混合氧化物和p金属样品。来自不同反应和p同位素的中子伴随着许多伽马射线,尤其是〜(241)Am的59-keV伽马射线。正确识别中子对于核不扩散应用很重要,并且使中子/伽玛分辨和堆积排斥成为必要。每个实验数据集都使用先前开发的算法进行了有无堆积过滤,也有没有堆积过滤。使用MCNPX-PoliMi(蒙特卡罗代码)对实验进行了仿真,MCNPX-PoliMi是设计用于精确建模闪烁探测器响应的蒙特卡罗代码。 MCNPX-PoliMi的碰撞输出使用专用的MPPost后处理代码进行处理,以逐事件将中子能量沉积转换为光脉冲。在脉冲形状识别将波形识别为伽马射线或中子相互作用之后,将该模型与实验数据进行比较。我们表明,即使不使用铅屏蔽,使用数字堆积排斥算法也可以使使用二苯乙烯的中子计数精确到2%以内。

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