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Record W2599015871 · doi:10.1109/tps.2017.2682229

Kinetic Simulation of Spacecraft–Environment Interaction

2017· article· en· W2599015871 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Plasma Science · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpacecraftSpacecraft chargingPhysicsDiscretizationAstrophysical plasmaParticle-in-cellSpace environmentAerospace engineeringTest particlePoisson's equationPlasmaSpace (punctuation)Statistical physicsComputational physicsClassical mechanicsComputer scienceMathematical analysisMathematicsQuantum mechanics

Abstract

fetched live from OpenAlex

A review is presented of the physical processes and numerical approaches used to simulate the interaction of spacecraft with space environment. Following a brief survey of previous work in the field, a discussion is presented of the physics of spacecraft charging caused by plasma and radiation encountered in space environment. Relevant numerical approaches are also presented, with a particular emphasis on the particle-in-cell (PIC) approach in which space is discretized with an unstructured tetrahedral mesh, and Poisson's equation is solved with the method of finite elements. Example simulations are presented showing the interaction of a spherical object with flowing plasma, and comparisons are made with previously published results. A powerful method based on test particle backtracking and Liouville's theorem is presented to calculate particle velocity distribution functions and moments with reduced statistical errors. Results obtained with this approach are compared with similar results obtained directly from the PIC approach.

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.

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 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: none
Teacher disagreement score0.517
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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