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Record W2079403775 · doi:10.1063/1.1647138

Spatiotemporal characteristics of ultra-low frequency dispersive scale shear Alfvén waves in the Earth’s magnetosphere

2004· article· en· W2079403775 on OpenAlexaff
R. Rankin, J. Y. Lu, R. Marchand, E. Donovan

Bibliographic record

VenuePhysics of Plasmas · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsPhysicsMagnetosphereAlfvén waveGeophysicsField lineComputational physicsEarth's magnetic fieldMagnetohydrodynamicsPlasmaMagnetic field

Abstract

fetched live from OpenAlex

The high-latitude nightside auroral zone is threaded by geomagnetic field lines supporting localized ultra-low frequency (ULF) shear Alfvén waves (SAWs). A particular class of dispersive scale ULF waves can be attributed to resonant mode conversion of global scale near-monochromatic compressional waves that are excited by high-speed solar wind flow past the magnetosphere. In the more distant magnetotail, warm plasma dispersive effects preclude the excitation of latitudinally narrow waveforms. Closer to Earth, flux tubes are loaded with colder plasma that favors inertial scale dispersive SAWs and nonlinear wave processes. The spatiotemporal characteristics of ULF shear Alfvén field line resonances near midnight are analyzed, and it is demonstrated that in warm plasma, small-scale nonlinear structuring occurs on field lines where two competing wave dispersion mechanisms cancel. Over realistic time scales, this situation occurs naturally as a result of SAW ponderomotive forces that initiate up-flowing ion motion and Earthward motion of the resonance position in the magnetosphere. The amplitudes, perpendicular widths, and latitudinal dependence of dispersive scale ULF waves are analyzed and compared with ground-based observations.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.776

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 head0.005
GPT teacher head0.203
Teacher spread0.198 · 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

Citations21
Published2004
Admission routes1
Has abstractyes

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