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Record W2110972059 · doi:10.1029/2006ja011725

Bounce‐averaged diffusion coefficients for field‐aligned chorus waves

2006· article· en· W2110972059 on OpenAlexaff
Yuri Shprits, R. B. Horne, Danny Summers

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPlasmaspherePhysicsComputational physicsVan Allen radiation beltMagnetosphereScatteringDiffusionPitch angleRay tracing (physics)GeophysicsPlasmaOptics

Abstract

fetched live from OpenAlex

Whistler mode chorus emissions in the Earth's magnetosphere extend from the plasmapause to the boundary of trapping. Knowledge of the pitch angle and energy scattering rates is essential for accurate radiation belt modeling. Scattering rates, which are used as an input for radiation belt codes, should be evaluated dynamically and should account for the changes in plasma density, latitudinal and MLT distribution of waves, and wave spectral properties. Bounce‐averaged diffusion coefficients computed with the assumption of parallel wave propagation are compared to the results of the PADIE diffusion code, which takes into account the oblique propagation of waves and higher‐order resonances. The inaccuracies associated with the neglect of higher‐order resonances are compared to potential errors introduced by inaccuracies in determining plasma density and the latitudinal distribution of waves. Numerical sensitivity tests show that the errors associated with the neglect of the high‐order scattering are smaller than inaccuracies associated with the uncertainties in the parameters of the codes.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.298
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations135
Published2006
Admission routes1
Has abstractyes

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