On the investigation of plasma turbulence by the analysis of the spectra

The article describes the examples of the analysis of the experimental data spectra for identifying typical structures of processes forming plasma turbulence. The method is based on the original algorithm which is close to the one-sample bootstrap. The base model for description of the fine structur...

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Bibliographic Details
Main Authors: Andrey Konstantinovich Gorshenin, Victor Yurievich Korolev, Dmitrii Valerievich Malakhov, Nina Nikolaevna Skvortsova
Format: Article
Language:Russian
Published: Institute of Computer Science 2012-12-01
Series:Компьютерные исследования и моделирование
Subjects:
Online Access:http://crm.ics.org.ru/uploads/crmissues/crm_2012_4/12410.pdf
Description
Summary:The article describes the examples of the analysis of the experimental data spectra for identifying typical structures of processes forming plasma turbulence. The method is based on the original algorithm which is close to the one-sample bootstrap. The base model for description of the fine structure of stochastic processes is finite local-scale normal mixtures. For finding the statistical estimates (maximum likelihood estimates) well known EM algorithm is used. The efficiency of the proposed research technique is demonstrated for a number of spectras set obtained in different modes of low-frequency plasma turbulence.
ISSN:2076-7633
2077-6853