@article{oai:nagoya.repo.nii.ac.jp:02002020,
 author = {Nishioka, Fuga and Endo, Tomohiro and Yamamoto, Akio and Yamanaka, Masao and Pyeon, Cheol Ho},
 issue = {2},
 journal = {Nuclear Science and Engineering},
 month = {},
 note = {To robustly estimate the fundamental mode component of prompt neutron decay constant α in a subcritical system, dynamic mode decomposition (DMD) is applied to time-series data obtained by the pulsed-neutron source (PNS) and Rossi-α methods. For the statistical uncertainty quantification of α by DMD, randomly sampled virtual data are used for the DMD procedure. The applicability of DMD is demonstrated by analyzing the experimental results by the PNS and Rossi-α methods, which are performed at the Kyoto University Critical Assembly (KUCA). When applying the DMD to the PNS and Rossi-α experimental data, a constant signal was added to the experimental data to remove the background constant component. The application results indicate that DMD enables one to robustly estimate the fundamental mode component of α in the PNS and Rossi-α methods., Published online: 23 Sep 2021},
 pages = {133--143},
 title = {Applicability of Dynamic Mode Decomposition to Estimate Fundamental Mode Component of Prompt Neutron Decay Constant from Experimental Data},
 volume = {196},
 year = {2022}
}