TY - JOUR
T1 - Correlation-estimated conditional average method and its application on solitary oscillation in PANTA
AU - Kobayashi, T. K.
AU - Fujisawa, A.
AU - Nagashima, Y.
AU - Moon, C.
AU - Yamasaki, K.
AU - Nishimura, D.
AU - Shigeru, Inagaki
AU - Yamada, T.
AU - Kasuya, N.
AU - Kosuga, Y.
AU - Sasaki, Makoto
AU - Kawachi, Y.
N1 - Funding Information:
This work was partly supported by JSPS KAKENHI Grant Nos. JP17H06089, 15H02335, and JP19K23426, and also by NIFS Collaboration Research Program NIFS17KOCH002.
Publisher Copyright:
© 2021 IOP Publishing Ltd Printed in the UK.
PY - 2021/3
Y1 - 2021/3
N2 - 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.
AB - 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.
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U2 - 10.1088/1361-6587/abd980
DO - 10.1088/1361-6587/abd980
M3 - Article
AN - SCOPUS:85099875795
SN - 0741-3335
VL - 63
JO - Plasma Physics and Controlled Fusion
JF - Plasma Physics and Controlled Fusion
IS - 3
M1 - 032001
ER -