Reconstruction of the neutron radiation field on nuclear facilities near the shield using Bayesian inference

作者：Wang, Zhuang; Cai, Jiejin^*

来源：PROGRESS IN NUCLEAR ENERGY, 2020, 118: 103070.

DOI：10.1016/j.pnucene.2019.103070

• Reconstruction
• Radiation field
• Interpolation
• Bayesian inference

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.