Applicability of Dynamic Mode Decomposition to Estimate Fundamental Mode Component of Prompt Neutron Decay Constant from Experimental Data. (1st February 2022)

• Record Type: Journal Article
• Authors: Nishioka, Fuga; Endo, Tomohiro; Yamamoto, Akio; Yamanaka, Masao; Pyeon, Cheol Ho
• Is Part Of: Nuclear science and engineering. Volume 196:Number 2(2022)
• Page Start: 133
• Page End: 143
• Publication Date: 2022-02-01
• Subjects: Prompt neutron decay constant -- dynamic mode decomposition -- fundamental mode component -- pulsed-neutron source method -- Rossi-α method; Nuclear energy -- Periodicals; Nuclear engineering -- Periodicals; Nuclear energy; Nuclear engineering; Periodicals; 539.705
• DOI: 10.1080/00295639.2021.1968225
• Languages: English
• ISSNs: 0029-5639

Abstract

Abstract: 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.