Correlation-estimated conditional average method and its application on solitary oscillation in PANTA

T. K. Kobayashi, A. Fujisawa, Y. Nagashima, C. Moon, K. Yamasaki, D. Nishimura, S. Inagaki, T. Yamada, N. Kasuya, Y. Kosuga, M. Sasaki, Y. Kawachi

Research output: Contribution to journalArticlepeer-review

Abstract

The conditional average is a technique to extract a typical waveform from bursty or quasi-periodic phenomena regarded as a combination of deterministic trend and residual fluctuations (or probabilistic part). The article proposes a new conditional average technique that is an extension from what is called the template method that allows automatic selection, using the correlation analysis, of the identical events of the phenomena. The proposed method is applied on a quasi-periodic oscillation observed in a linear magnetized plasma, and successfully divides the phenomenon into the deterministic trend and residual fluctuations. Moreover, the statistical error analysis on the power of the residual fluctuations discloses the presence of mutual interactions between the deterministic trend and the residual fluctuations.

Original languageEnglish
Article number032001
JournalPlasma Physics and Controlled Fusion
Volume63
Issue number3
DOIs
Publication statusPublished - Mar 2021

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Correlation-estimated conditional average method and its application on solitary oscillation in PANTA'. Together they form a unique fingerprint.

Cite this