Sparsity-promoting dynamic mode decomposition of plasma turbulence

Akira Kusaba, Tetsuji Kuboyama, Shigeru Inagaki

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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 languageEnglish
Pages (from-to)1-4
Number of pages4
JournalPlasma and Fusion Research
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics


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