Sparsity-promoting dynamic mode decomposition of plasma turbulence

Akira Kusaba; Tetsuji Kuboyama; Shigeru Inagaki

doi:10.1585/PFR.15.1301001

Sparsity-promoting dynamic mode decomposition of plasma turbulence

Akira Kusaba, Tetsuji Kuboyama, Shigeru Inagaki

Division of Nuclear Fusion Dynamics

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

A data-driven approach called sparsity-promoting dynamic mode decomposition (SP-DMD) is applied to the plasma turbulence signals obtained with an azimuthal probe array. The spatiotemporal turbulence can be reasonably decomposed into seven modes which capture the azimuthal bunching of the turbulence. A superiority of the DMD analysis to the conventional stationary analysis is demonstrated.

Original language	English
Pages (from-to)	1-4
Number of pages	4
Journal	Plasma and Fusion Research
Volume	15
DOIs	https://doi.org/10.1585/PFR.15.1301001
Publication status	Published - 2020

All Science Journal Classification (ASJC) codes

Condensed Matter Physics

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10.1585/PFR.15.1301001

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title = "Sparsity-promoting dynamic mode decomposition of plasma turbulence",

abstract = "A data-driven approach called sparsity-promoting dynamic mode decomposition (SP-DMD) is applied to the plasma turbulence signals obtained with an azimuthal probe array. The spatiotemporal turbulence can be reasonably decomposed into seven modes which capture the azimuthal bunching of the turbulence. A superiority of the DMD analysis to the conventional stationary analysis is demonstrated.",

author = "Akira Kusaba and Tetsuji Kuboyama and Shigeru Inagaki",

note = "Funding Information: This work was partially supported by the JSPS KAKENHI Grant Numbers 19J00871, 19K12125 and 15H02335, and the Collaborative Research Program of Research Institute for Applied Mechanics, Kyushu University. Publisher Copyright: {\textcopyright} 2020 The Japan Society of Plasma Science and Nuclear Fusion Research.",

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AU - Kusaba, Akira

AU - Kuboyama, Tetsuji

AU - Inagaki, Shigeru

N1 - Funding Information: This work was partially supported by the JSPS KAKENHI Grant Numbers 19J00871, 19K12125 and 15H02335, and the Collaborative Research Program of Research Institute for Applied Mechanics, Kyushu University. Publisher Copyright: © 2020 The Japan Society of Plasma Science and Nuclear Fusion Research.

PY - 2020

Y1 - 2020

N2 - A data-driven approach called sparsity-promoting dynamic mode decomposition (SP-DMD) is applied to the plasma turbulence signals obtained with an azimuthal probe array. The spatiotemporal turbulence can be reasonably decomposed into seven modes which capture the azimuthal bunching of the turbulence. A superiority of the DMD analysis to the conventional stationary analysis is demonstrated.

AB - A data-driven approach called sparsity-promoting dynamic mode decomposition (SP-DMD) is applied to the plasma turbulence signals obtained with an azimuthal probe array. The spatiotemporal turbulence can be reasonably decomposed into seven modes which capture the azimuthal bunching of the turbulence. A superiority of the DMD analysis to the conventional stationary analysis is demonstrated.

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U2 - 10.1585/PFR.15.1301001

DO - 10.1585/PFR.15.1301001

M3 - Article

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VL - 15

SP - 1

EP - 4

JO - Plasma and Fusion Research

JF - Plasma and Fusion Research

ER -

Sparsity-promoting dynamic mode decomposition of plasma turbulence

Abstract

All Science Journal Classification (ASJC) codes

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