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用于等离子体层析成像的模态结构和耦合的时空行为高级分析。

Advanced analysis of spatiotemporal behaviors of modal structures and couplings for plasma tomography.

作者信息

Yamasaki Kotaro, Fujisawa Akihide, Nagashima Yoshihiko, Moon Chanho, Kosuga Yusuke, Sasaki Makoto, Nishimura Daiki, Kobayashi Taiki, Kawachi Yuichi, Inagaki Shigeru, Kasuya Naohiro, Yamada Takuma

机构信息

Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi- Hiroshima, 739-8527, Japan.

Research center for plasma turbulence, Kyushu University, Kasuga, 816-8580, Japan.

出版信息

Sci Rep. 2025 Jun 5;15(1):19751. doi: 10.1038/s41598-025-04755-1.

DOI:10.1038/s41598-025-04755-1
PMID:40473797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12141614/
Abstract

Advanced methods, based on the Fourier-Rectangular Function (FRF) series expansion (K. Yamasaki et al., J.Appl. Phys. 126 043304 (2019)), are proposed to analyse plasma images obtained with tomography. The method is applied to images of the entire cross-section of a cylindrical plasma that is dominated by an oscillatory state. The oscillations are characterized by an azimuthal mode of m = 4 (mother mode), whose spatial pattern is modulated by producing child modes (m = 3 and m = 5) through the nonlinear coupling with m = 1 mode (father mode). The proposed methods identify the spatiotemporal properties of the modes and their nonlinear coupling propagation along the amplitude trajectory of the father mode. Here, we report the newly developed analysis methods for tomography images and their capabilities to uncover underlying processes in the oscillatory state of turbulent plasmas.

摘要

基于傅里叶矩形函数（FRF）级数展开（K. 山崎等人，《应用物理学杂志》126 043304（2019））的先进方法被提出来用于分析通过层析成像获得的等离子体图像。该方法应用于以振荡状态为主的圆柱形等离子体整个横截面的图像。这些振荡的特征是具有m = 4的方位模式（母模式），其空间模式通过与m = 1模式（父模式）的非线性耦合产生子模式（m = 3和m = 5）而受到调制。所提出的方法识别这些模式的时空特性及其沿父模式振幅轨迹的非线性耦合传播。在此，我们报告了新开发的用于层析成像图像的分析方法及其揭示湍流等离子体振荡状态下潜在过程的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/d6ab3171b498/41598_2025_4755_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/d3ff9fa76f0f/41598_2025_4755_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/da6dd8227679/41598_2025_4755_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/a8413a3156d1/41598_2025_4755_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/3f49bb631554/41598_2025_4755_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/9c648e086a3c/41598_2025_4755_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/3c6a971a7495/41598_2025_4755_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/725b7ece8959/41598_2025_4755_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/d6ab3171b498/41598_2025_4755_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/d3ff9fa76f0f/41598_2025_4755_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/c9b7c50a9d0a/41598_2025_4755_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/da6dd8227679/41598_2025_4755_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/a8413a3156d1/41598_2025_4755_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/3f49bb631554/41598_2025_4755_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/9c648e086a3c/41598_2025_4755_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/3c6a971a7495/41598_2025_4755_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/725b7ece8959/41598_2025_4755_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a68/12141614/d6ab3171b498/41598_2025_4755_Fig9_HTML.jpg

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