MétaCan
Menu
Back to cohort
Record W2319687982 · doi:10.2514/6.2003-5226

Kinetic Simulations/Modeling of Plasma Sails

2003· article· en· W2319687982 on OpenAlexaff
Nick Omidi, H. Karimabadi

Bibliographic record

Venue39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsCybernet Systems Corporation (Canada)
FundersNational Aeronautics and Space Administration
KeywordsMagnetosphereSolar windMagnetopausePhysicsPlasmaSpacecraftKinetic energyBow shock (aerodynamics)Polar windAerospace engineeringComputational physicsMagnetosphere of SaturnWaves in plasmasPropulsionIon thrusterMechanicsClassical mechanicsShock waveAstronomyNuclear physics

Abstract

fetched live from OpenAlex

The viability of the plasma sail as a propulsion mechanism hinges on a number of issues that are as yet undetermined. Here we address two of these issues. One is in regards to the possibility of momentum transfer from the solar wind to the spacecraft and the other concerns the effect of the required plasma injection in the resulting magnetosphere. Previous two-fluid modeling of the plasma sail have been useful but given the predominance of ion kinetic effects, kinetic simulations are required in order to fully address the feasibility issues. Accordingly we have performed kinetic simulations of the plasma sail, using specially developed codes. We show that the interaction of the solar wind with the plasma sail forms a magnetosphere more akin to that of an asteroid and is much different than that of the Earth’s magnetosphere. This has significant implications for the feasibility of plasma sail. For instance, although ion reflection does occur, it is not clear how momentum is transferred to the spacecraft because the reflection is from the bow wave and not the magnetopause. Further we find that both the plasma transfer as well as the expansion of the bubble are sensitive to the details of the plasma injection. Thus Specification of the appropriate plasma injection scheme remains to be established.

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)0.002
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.234
Teacher spread0.213 · 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

Citations23
Published2003
Admission routes1
Has abstractyes

Explore more

Same venue39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and ExhibitSame topicIonosphere and magnetosphere dynamicsFrench-language works237,207