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Record W2117583297 · doi:10.2514/6.2006-4838

Helicon Double Layer Thrusters

2006· article· en· W2117583297 on OpenAlexaff
Christine Charles, Rod Boswell, Peter Alexander, Carlos H. Costa, Orson Sutherland, Leigh Pfitzner, René Franzen, Jeff Kingwell, A.J. Parfitt, Pierre-Etienne Frigot, J. González del Amo, E. Gengembre, G. Saccoccia, Roger Walker

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsC-Com Satellite Systems (Canada)
Fundersnot available
KeywordsHeliconLayer (electronics)Computer scienceMaterials sciencePhysicsAerospace engineeringEngineeringPlasmaNanotechnology

Abstract

fetched live from OpenAlex

The Helicon Double Layer Thruster is a new type of magneto-plasma thruster which combines the helicon technology for an efficient coupling of the electrical power to the plasma and a current-free double layer (formed spontaneously in the physical and magnetic nozzle of the thruster) for an optimized acceleration of the plasma ions. A large area, low divergence supersonic ion beam (the source of thrust) is measured in the nozzle for various propellants (xenon, argon and hydrogen). In addition to the scalability in geometry and electrical power, the simplicity, the absence of any moving parts, electrodes, or neutralizer give the HDLT an infinite lifetime.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.009
GPT teacher head0.196
Teacher spread0.187 · 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 designBench or experimental
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

Citations29
Published2006
Admission routes1
Has abstractyes

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