@article{oai:nagoya.repo.nii.ac.jp:02003808,
 author = {Endo, Tomohiro and Nishioka, Fuga and Yamamoto, Akio and Watanabe, Kenichi and Pyeon, Cheol Ho},
 issue = {9},
 journal = {Journal of Nuclear Science and Technology},
 month = {Feb},
 note = {Prompt neutron decay constant α in a critical state is useful information to validate the numerically predicted ratio of the point kinetics parameters βeff/ℓ, where βeff and ℓ are the effective delayed neutron fraction and prompt neutron lifetime, respectively. To directly measure α in a target critical system, this study proposes the application of the dynamic mode decomposition (DMD) to the reactor noise analysis based on the Rossi-α method. The DMD-based Rossi-α method enables us to robustly estimate the fundamental mode component of α from the Rossi-α histograms measured using multiple neutron detectors. Furthermore, the file-by-file moving block bootstrap method is newly proposed for the statistical uncertainty quantification of α to prevent huge memory usage when the neutron count rate is high and/or the total measurement time is long. A critical experiment has been conducted at Kyoto University Critical Assembly to demonstrate the proposed method. As a result, the proposed method can uniquely determine the α value of which the statistical uncertainty is smallest. By utilizing this experimental result of α, numerical results of βeff/ℓ ratio using the continuous energy Monte Carlo code MCNP6.2 with recent nuclear data libraries, which are processed by the nuclear data processing code FRENDY, are validated., Published online: 27 Feb 2022},
 pages = {1117--1126},
 title = {Application of dynamic mode decomposition to Rossi-α method in a critical state using file-by-file moving block bootstrap method},
 volume = {59},
 year = {2022}
}