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Record W2000178020 · doi:10.1109/plasma.2014.7012516

Overview of various mechanisms leading to oscillations and instabilities in hall plasmas: Applications to Hall thrusters

2014· article· en· W2000178020 on OpenAlexaff
A. I. Smolyakov

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhysicsPlasmaGyroradiusHall effectMagnetic fieldElectric fieldElectronIonosphereComputational physicsAtomic physicsQuantum mechanicsGeophysics

Abstract

fetched live from OpenAlex

Summary form only given. Devices with stationary, externally applied, electric field which is perpendicular to a moderate amplitude magnetic field B0, are common in magnetically controlled plasmas. High interest applications involve Penning type plasma sources, magnetrons and magnetic filters, and electric space propulsion such as Hall thrusters. The electric field produces a stationary current due to the E0×B0electron drift, while ions do not feel the magnetic field due to their large Larmor radius. Such plasmas, widely defined here as Hall plasmas, exhibit a large number of instabilities observed experimentally, which have been shown to affect the operation of these devices. Similar conditions occur in some space plasmas, e.g. in the lower ionosphere of Earth. Plasma fluctuations result in anomalous transport phenomena, e.g. in anomalous electron mobility and heating. Studies of these phenomena have long history in ionosphere physics and Hall thrusters development. The goal of this presentation is to overview various mechanisms leading to plasma fluctuations that might be responsible for anomalous transport in these conditions. We emphasize common physical principles between various types of Hall plasmas, describe some recent theoretical results and experimental observations.Stationary electron current is a robust and principal source of free energy in Hall plasmas in above applications. Interaction of this current with plasma inhomogeneities, e.g. gradients of plasma density, temperature and magnetic field result in the so called anti-drift type modes. The electron flow also result in instabilities of negative energy ion sound modes destabilized by dissipation due to collisions and feedback response of plasma sheath. Dissipation also result in destabilization of low-hybrid modes. The latter are also may become unstable due to the stationary flow of accelerated ions. Smaller scale modes may be destabilized due to the electron cyclotron resonance. This variety of instabilities creates a complex picture of fluctuations of different frequencies and at different length scales. We describe the current state of the theoretical research in this area by presenting the quantitative characteristics of these instabilities and potential ramifications for Hall thrusters.

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)0.000
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.006

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 head0.022
GPT teacher head0.248
Teacher spread0.226 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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