Modern methods of signal processing applied to gyrokinetic simulations

被引：6

作者：

Kleiber, R. ^{[1
]}

Borchardt, M. ^{[1
]}

Koenies, A. ^{[1
]}

Slaby, C. ^{[1
]}

机构：

[1] Max Planck Inst Plasma Phys, EURATOM Assoc, D-17491 Greifswald, Germany

来源：

PLASMA PHYSICS AND CONTROLLED FUSION | 2021年 / 63卷 / 03期

关键词：

signal processing; signal classification; system identification; gyrokinetic simulations; Alfen waves;

D O I：

10.1088/1361-6587/abd4c1

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

Numerical simulations, like the ones necessary for e.g. electromagnetic gyrokinetic models in plasma physics, require large computational resources and long run times. Using tools from signal processing, it is possible to draw conclusions about frequencies, damping rates and mode structures using shorter runs. These tools can also be applied to analyse transient signals. We give a pedagogical review of two contemporary methods from signal processing: damped multiple signal classification and stochastic system identification. An application to simulations of Alfven modes in a tokamak is presented.

引用

页数：9

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