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Monte Carlo model of a BEGe detector to support gamma-spectrometry in an emergency response

机译:Bege探测器的蒙特卡罗模型,以支持应急响应中的伽马光谱法

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One of the problems of measuring high radioactivity in an emergency scenario is the fact that the detector can become saturated or reach a measuring dead time too high to give reliable results, which means repeating the measurement in different conditions with the associated delay in obtaining the results and the laboratory workers' risk of exposure. The counting rate can be controlled by varying the sample-to-detector distance as well as by using different source volumes. A Monte Carlo model of a BEGe detector was developed to analyse the system efficiency response for several measuring configurations (distances and volumes) using the MCNP6 code. The total efficiency curves were obtained for an energy range between 59.5 keV and 1836 keV. The simulations provided an estimation of the admissible gamma-rate for different source volumes (in water matrix) and sample-to-detector distances to avoid detector saturation in given measurement conditions. The results were a compromise between geometry, distance and measuring time for certain emergency situations. Three case studies are provided to show the approach's effectiveness.
机译:在紧急情况下测量高放射性的问题之一是检测器可以变得饱和或达到过高的测量时间,以提供可靠的结果,这意味着在不同条件下重复测量,在获得结果的相关延迟中和实验室工人接触的风险。通过使用不同的源体积可以通过改变采样对检测器距离来控制计数率。开发了一个Bege检测器的蒙特卡罗模型,以分析使用MCNP6代码的几种测量配置(距离和卷)的系统效率响应。获得总效率曲线,获得59.5keV和1836 keV之间的能量范围。该模拟提供了不同源体积(水矩阵)和采样对检测器距离的可允许伽马速率的估计,以避免给定测量条件下的检测器饱和度。结果是某些紧急情况的几何形状,距离和测量时间之间的折衷。提供了三种案例研究以展示该方法的有效性。

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