Statistical error estimation of the Feynman-α method using the bootstrap method
Abstract
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.
Published online: 23 Dec 2015
Journal
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- Journal of Nuclear Science and Technology
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Journal of Nuclear Science and Technology 53 (9), 1447-1453, 2016
Taylor & Francis
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Keywords
Details 詳細情報について
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- CRID
- 1050001338805654912
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- NII Article ID
- 120005898473
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- HANDLE
- 2237/25270
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- ISSN
- 00223131
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- CiNii Articles