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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
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 teacher head, not a consensus.

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

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