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On the Scattering of Polarized Radio Emission by Langmuir Turbulence in a Plasma with a Magnetic Field

2000· article· en· W2052589690 on OpenAlexfundno aff
V N Tirsky, V. G. Ledenev, В. М. Томозов

Bibliographic record

VenuePhysica Scripta · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsScatteringPhysicsLangmuir TurbulencePlasmaPolarization (electrochemistry)Plasma oscillationMagnetic fieldComputational physicsDegree of polarizationWavelengthCircular polarizationAtomic physicsOpticsChemistryNuclear physicsQuantum mechanics

Abstract

fetched live from OpenAlex

This paper is concerned with effects of radio emission scattering in plasmas by Langmuir turbulent pulsations, as well as with the influence of these effects on polarization characteristics of radio emission frequencies above the electron plasma frequency and near the plasma frequency. It is shown that, the effects of radio emission scattering due to Langmuir turbulence can radically alter polarization characteristics of emission. The degree of polarization, when optical thicknesses with respect to the scattering process are of the order of unity, can change by as much as 30%, both at high frequencies and at frequencies, close to the plasma frequency. It is pointed out that the scattering by Langmuir turbulence gives rise to a dependence of the degree of circular polarization of radio emission on the wavelength even in a homogeneous magnetic field. Possible implications of the above effects for the solar atmosphere are briefly discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.190
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2000
Admission routes1
Has abstractyes

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