Statistical error estimation of the Feynman-α method using the bootstrap method
Statistical error estimation of the Feynman-α method using the bootstrap method
复制标题
使用 bootstrap 方法估计 Feynman-α 方法的统计误差
DOI:
10.1080/00223131.2015.1113898
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发表时间:
2016
期刊:
影响因子:
--
通讯作者:
C.H. Pyeon
中科院分区:
文献类型:
--
作者:
T. Endo;A. Yamamoto;T. Yagi;C.H. Pyeon
Applicability of the bootstrap method is investigated to estimate the statistical error of the Feynman-α method, which is one of the subcritical measurement techniques on the basis of reactor noise analysis. In the Feynman-α method, the statistical error can be simply estimated from multiple measurements of reactor noise, however it requires additional measurement time to repeat the multiple times of measurements. Using a resampling technique called “bootstrap method,” standard deviation and confidence interval of measurement results obtained by the Feynman-α method can be estimated as the statistical error, using only a single measurement of reactor noise. In order to validate our proposed technique, we carried out a passive measurement of reactor noise without any external source, i.e. with only inherent neutron source by spontaneous fission and (α,n) reactions in nuclear fuels at the Kyoto University Criticality Assembly. Through the actual measurement, it is confirmed that the bootstrap method is applicable to approximately estimate the statistical error of measurement results obtained by the Feynman-α method.