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Stationary spectra in a magnetized current-carrying plasma

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Abstract

The low-frequency (frequencies do not exceed the ion gyro-frequency) quasi-flute short-wave (wavelengths smaller than the ion gyroradius) potential, cross-field and magnetic fluctuation spectra in a magnetized current-carrying plasma, are calculated by using the canonical distribution, general renormalized statistical approach with finite cross-field correlations, and the self-similar transformation method. 10 refs. (author).
Authors:
Publication Date:
Dec 31, 1992
Product Type:
Technical Report
Report Number:
ITP-92-23
Reference Number:
SCA: 700340; PA: AIX-24:025263; SN: 93000948465
Resource Relation:
Other Information: PBD: 1992
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; HOMOGENEOUS PLASMA; FLUCTUATIONS; CORRELATION FUNCTIONS; CURRENTS; EQUATIONS OF MOTION; LONG WAVE RADIATION; MAGNETIC FIELDS; MAXWELL EQUATIONS; NONLINEAR PROBLEMS; PLASMA WAVES; SHORT WAVE RADIATION; STATISTICS; 700340; PLASMA WAVES, OSCILLATIONS, AND INSTABILITIES
OSTI ID:
10128054
Research Organizations:
AN Ukrainskoj SSR, Kiev (Ukraine). Inst. Teoreticheskoj Fiziki
Country of Origin:
Ukraine
Language:
English
Other Identifying Numbers:
Other: ON: DE93617847; TRN: UA9300035025263
Availability:
OSTI; NTIS (US Sales Only); INIS
Submitting Site:
INIS
Size:
[12] p.
Announcement Date:
Jul 04, 2005

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Citation Formats

Vakulenko, M O. Stationary spectra in a magnetized current-carrying plasma. Ukraine: N. p., 1992. Web.
Vakulenko, M O. Stationary spectra in a magnetized current-carrying plasma. Ukraine.
Vakulenko, M O. 1992. "Stationary spectra in a magnetized current-carrying plasma." Ukraine.
@misc{etde_10128054,
title = {Stationary spectra in a magnetized current-carrying plasma}
 author = {Vakulenko, M O}
 abstractNote = {The low-frequency (frequencies do not exceed the ion gyro-frequency) quasi-flute short-wave (wavelengths smaller than the ion gyroradius) potential, cross-field and magnetic fluctuation spectra in a magnetized current-carrying plasma, are calculated by using the canonical distribution, general renormalized statistical approach with finite cross-field correlations, and the self-similar transformation method. 10 refs. (author).}
 place = {Ukraine}
 year = {1992}
 month = {Dec}
 }