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Record W2060012146 · doi:10.1063/1.3310834

Resonance zones for electron interaction with plasma waves in the Earth’s dipole magnetosphere. I. Evaluation for field-aligned chorus, hiss, and electromagnetic ion cyclotron waves

2010· article· en· W2060012146 on OpenAlexaff
Binbin Ni, Danny Summers

Bibliographic record

VenuePhysics of Plasmas · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPhysicsHissVan Allen radiation beltMagnetosphereCyclotron resonanceComputational physicsIon cyclotron resonanceResonance (particle physics)ElectronElectromagnetic electron waveElectron cyclotron resonanceCyclotron radiationAtomic physicsFourier transform ion cyclotron resonancePlasmasphereDipoleElectromagnetic radiationVan Allen ProbesCyclotronPlasmaIonNuclear physicsOptics

Abstract

fetched live from OpenAlex

Wave-particle interactions are a key influence on radiation belt particle dynamics. Here electron cyclotron resonance with very-low-frequency chorus, extremely-low-frequency hiss, and electromagnetic ion cyclotron waves in the Earth’s dipole magnetosphere is analyzed. In this first of two companion papers, it is assumed that wave propagation is field aligned. The aim of this investigation is to carry out a detailed examination of “resonance zones” in (L,λ) space (where L denotes magnetic shell and λ the magnetic latitude). These zones are regions in which electron cyclotron resonance occurs for a given wave mode and waveband. Identification of resonance zones is a useful aid in the construction of realistic models of radiation belt electron dynamics, and is hence also useful in the interpretation of observational data.

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 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 score0.347
Threshold uncertainty score0.773

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.245
Teacher spread0.238 · 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 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

Citations8
Published2010
Admission routes1
Has abstractyes

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