基于环形等离子体 GPI 数据推导二维湍流结构的改进型 TDE 技术

IF 1.6 3区物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS

Plasma Science & Technology Pub Date : 2024-01-09 DOI:10.1088/2058-6272/ad1c76

Weice Wang, Jun Cheng, Zhongbing Shi, Longwen Yan, Zhihui Huang, K. Yi, Na Wu, Yu He, Q. Zou, Xi Chen, Wen Zhang, Jian Chen, Lin Nie, Xiaoquan Ji, Wulyu Zhong

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引用次数: 0

摘要

本文报告了一种改进的时延位移估算（TDE）技术，用于根据气-泡成像（GPI）数据推导湍流结构。改进后的 TDE 技术集成了反定时搜索和分层策略，在计算湍流速度场图和分析 Blob 动力学方面具有更高的精度，能够获得平衡极速的径向剖面、Blob 大小及其径向速度，甚至是波动分析，如大地声学模式（GAM）和准相干模式（QCM）等。这种改进的技术可为边缘湍流和 Blob 动力学研究提供重要的二维信息，促进对聚变等离子体边缘湍流物理的理解。

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An improved TDE technique for derivation of 2D turbulence structures based on GPI data in toroidal plasma

This paper reports an improved time-delay displacement estimation (TDE) technique for the derivation of turbulence structures based on gas-puff imaging (GPI) data. The improved TDE technique, integrating an inverse timing search and hierarchical strategy, offers superior accuracy in calculating turbulent velocity field maps and analyzing blob dynamics, which has power to obtain the radial profiles of equilibrium poloidal velocity, blob size and its radial velocity, even the fluctuation analysis, such as geodesic acoustic modes (GAM) and quasi-coherent mode (QCM), etc. This improved technique could provide important 2D information for the study of edge turbulence and the blob dynamics, advancing the understanding of edge turbulence physics in fusion plasmas.

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来源期刊

Plasma Science & Technology 物理-物理：流体与等离子体

CiteScore

3.10

自引率

11.80%

发文量

3773

审稿时长

3.8 months

期刊介绍： PST assists in advancing plasma science and technology by reporting important, novel, helpful and thought-provoking progress in this strongly multidisciplinary and interdisciplinary field, in a timely manner. A Publication of the Institute of Plasma Physics, Chinese Academy of Sciences and the Chinese Society of Theoretical and Applied Mechanics.