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Record W4317933439 · doi:10.48550/arxiv.2509.06432

Study of a coaxial vacuum arc thruster plume and its interaction with applied magnetic field

2025· preprint· en· W4317933439 on OpenAlexaff
M. Jimenez Diaz, Laurent Garrigues, Gerjan Hagelaar, Freddy Gaboriau, Laurent Liard, Vı́ctor J. Herrero, A. Blanchet

Bibliographic record

VenueArXiv.org · 2025
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicVacuum and Plasma Arcs
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsVacuum arcCoaxialPlumeArc (geometry)Magnetic fieldAerospace engineeringField (mathematics)PhysicsMechanicsMaterials scienceElectrical engineeringMechanical engineeringEngineeringPlasmaMeteorologyNuclear physicsMathematics

Abstract

fetched live from OpenAlex

A hybrid model where ions are treated as particles and electrons with fluid equations for magnetized electron flux is adapted in order to simulate a vacuum arc source. This source is a candidate for solid propellant propulsion system of micro- and nano-satellites. We show preliminary results of the plume and interelectrode region properties with and without the influence of an imposed magnetic field. We compare the results with experimental data, and we find that the magnetic collimation is overestimated in the simulation

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.261
Teacher spread0.236 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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