Analysis of Turbulence Driven Particle Transport in PANTA by Using Multi-Field Singular Value Decomposition

KODAHARA, Takumi; SASAKI, Makoto; KAWACHI, Yuichi; JAJIMA, Yuki; KOBAYASHI, Tatsuya; YAMADA, Takuma; ARAKAWA, Hiroyuki; FUJISAWA, Akihide

doi:10.1585/pfr.18.1202036

Cited by 1 publication

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“…In particular, a strong coupling between turbulent energy and particle transport should be clarified in multi-ion mixture plasmas [27,31,32]. There is a recent application to the experimental data analysis [33]. Also, the nonlinear stability of zonal flows and the associated energy transfer processes in fluid and kinetic turbulence [34][35][36] need to be elucidated.…”

Section: Discussionmentioning

confidence: 99%

Data-driven modal analysis of nonlinear quantities in turbulent plasmas using multi-field singular value decomposition

Yatomi,

Nakata,

Sasaki

2023

Plasma Phys. Control. Fusion

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Nonlinear dynamics in the two-dimensional multi-component plasma turbulence described by the Hasegawa-Wakatani equation is investigated by using a data-driven modal analysis with the singular value decomposition (SVD). The conventional SVD is extended to ”multi-field SVD” which can decompose multiple turbulence fields simultaneously by a single set of orthonormal basis functions without imposing a priori scale separations. Then, in addition to the mode amplitude labeled by the singular value, the information on the phase relations in the nonlinear quantities such as a transport flux or a triad energy transfer is extracted in the mode space. Through applications to the two-dimensional plasma turbulence, it is revealed that the multi-field SVD can extract the dominant spatial structures for the turbulent transport and the nonlinear energy transfer, preserving the multi-scale nature of the original turbulent fields. It is also demonstrated that one can reduce the dimensionality or information using the multi-field SVD through comparisons with the conventional Fourier decomposition.

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