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Title
Japanese: 
English:Crucial importance of correlation between cross sections and angular distributions in nuclear data of 28Si on estimation of uncertainty of neutron dose penetrating a thick concrete 
Author
Japanese: 山野直樹, 稲倉 恒法, 石塚知香子, 千葉敏.  
English: Naoki Yamano, Tsunenori Inakura, Chikako Ishizuka, Satoshi Chiba.  
Language English 
Journal/Book name
Japanese: 
English:Journal of Nuclear Science and Technology 
Volume, Number, Page Vol. 59    No. 5    pp. 641-646
Published date Nov. 12, 2021 
Publisher
Japanese: 
English:Taylor and Francis 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://doi.org/10.1080/00223131.2021.1997665
 
DOI https://doi.org/10.1080/00223131.2021.1997665
Abstract Uncertainty in neutron dose after penetrating a 3-m-thick concrete was estimated based on three different kinds of Total Monte Carlo methods under random sampling methodology. A thousand random nuclear data files were generated for 28Si by T6 by perturbing underlying model parameters. In the first method, these files were used directly to yield processed library preserving all the correlations among different physical quantities. In the second method, a covariance file in the ENDF-6 format was generated and 1000 random files were produced based on the covariance file. In the third method, the random files populated by T6 were used but the angular distribution data were kept fixed to non-perturbed nominal ones. It was found that the second and third methods gave equivalent variance of the neutron dose after deep penetration of a concrete, and this uncertainty was larger than the uncertainty given by the first method. It shows that the correlation between total cross section and angular distribution of elastic scattering affects uncertainty of the calculated neutron dose. It could be concluded that the uncertainty obtained by using the covariance files given in the ENDF-6 format may not give correct results for the uncertainty of deep penetration calculation.

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