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首页> 外文期刊>Progress in Nuclear Energy >Reconstruction of the neutron radiation field on nuclear facilities near the shield using Bayesian inference
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Reconstruction of the neutron radiation field on nuclear facilities near the shield using Bayesian inference

机译:利用贝叶斯推论重建盾构附近核设施上的中子辐射场

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摘要

This work aims to reconstruct the neutron radiation field on nuclear facilities by Bayesian inference. Firstly, the net function interpolation method is used to reconstruct the neutron radiation field on the basis of the observed data. Taking into account the effects of radiation shielding, the neutron radiation field near the shields should be reconstructed again. According to the measured data, Bayesian inference succeeds in reconstructing a more accurate neutron radiation field. The effectiveness of this method can be verified by two cases. In the first case, there are two calibration areas. Compared with the neutron radiation field simulated by Monte Carlo method, the average relative errors of the net function method are 11.37% and 23.65%, respectively. After the dose rate distribution of the calibration areas is calibrated by Bayesian inference, the average relative errors become 3.70% and 6.67%. There are six calibration areas in the other case, and Bayesian inference can also improve the accuracy.
机译:这项工作旨在通过贝叶斯推断来重建核设施上的中子辐射场。首先,利用网络函数插值法根据观测数据重建中子辐射场。考虑到辐射屏蔽的影响,应再次重建屏蔽附近的中子辐射场。根据测得的数据,贝叶斯推断成功地重建了更准确的中子辐射场。该方法的有效性可以通过两种情况验证。在第一种情况下,有两个校准区域。与蒙特卡罗方法模拟的中子辐射场相比,净函数法的平均相对误差分别为11.37%和23.65%。在通过贝叶斯推断对校准区域的剂量率分布进行校准之后,平均相对误差变为3.70%和6.67%。在另一种情况下,有六个校准区域,贝叶斯推断也可以提高准确性。

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