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Symbiotic Simulation Model Validation for Radiation Detection Applications

机译:辐射探测应用中的共生仿真模型验证

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Detection of radiological dispersal devices (RDDs) is important because of their potential for destruction and psychological impact on the affected population. These devices leave a clear trace which can be followed when using appropriate detection devices. Geiger counter devices provide data regarding the radiation intensity. However, this is not enough information to pinpoint a radiation source. Neither can this information be directly used to classify the radiation source. We describe a method using symbiotic simulation which can be used to classify and localise a radiation source given accurate measurements of radiation intensities at reference points and a detailed model of the environment. Initial classification and localisation, as well as continuous tracking of a moving radiation source, is considered. The effects of a measurement error and a model error are investigated.
机译:放射性散布设备(RDD)的检测很重要,因为它们可能会受到破坏,并对受影响人群产生心理影响。这些设备留下了清晰的轨迹,使用适当的检测设备时可以遵循。盖革计数器设备提供有关辐射强度的数据。但是,这还不足以查明辐射源。该信息也不能直接用于分类辐射源。我们描述了一种使用共生仿真的方法,该方法可用于给定辐射点在参考点的精确测量值和环境的详细模型,从而对辐射源进行分类和定位。考虑初始分类和定位,以及对移动辐射源的连续跟踪。研究了测量误差和模型误差的影响。

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