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Record W3008761056 · doi:10.1029/2019ja027220

Swarm Survey of Alfvénic Fluctuations and Their Relation to Nightside Field‐Aligned Current and Auroral Arc Systems

2020· article· en· W3008761056 on OpenAlexaff
J. Wu, D. J. Knudsen, D. M. Gillies, J. K. Burchill

Bibliographic record

VenueJournal of Geophysical Research Space Physics · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPoynting vectorPhysicsAmplitudeMagnetic fieldCurrent sheetCurrent (fluid)Electric fieldWavenumberArc (geometry)Phase (matter)GeophysicsSkyLatitudeComputational physicsAstrophysicsMagnetohydrodynamicsOpticsGeometryAstronomy

Abstract

fetched live from OpenAlex

Abstract By comparing data from 530 nightside auroral zone crossings of the three Swarm satellites with images from THEMIS ground‐based all‐sky imagers (ASIs), we find that 154 arc systems, containing two or more arcs, host regions of fluctuating magnetic and electric fields (Alfvén waves) up to 8 Hz. Many cases exhibit a standing wave pattern as seen by comparing the amplitude ratio and phase difference of electric and magnetic field Fourier components. The largest peak of Alfvénic cross‐power spectral density (CPSD, which is similar to Poynting flux) within a large‐scale current system tends to be narrow in latitude (about 50–100 km) and its magnitude increases with an increasing number of current sheets in the field‐aligned current (FAC) system. The peak of CPSD tends to be located on the poleward side of the current system but can extend as equatorward as the boundary between the Region 1 and Region 2 FACs. CPSD tends to peak either within downward current sheets ( of cases) or on the boundary between downward and upward FACs ( ). Only of peaks occur within upward current sheets, indicating that there is only a weak association with discrete auroral arcs, a finding which is confirmed by comparison with ASI images. These findings demonstrate that Alfvénic fluctuations occur over a much wider range of locations and conditions than previously reported.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.509

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)0.0000.000

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 head0.048
GPT teacher head0.329
Teacher spread0.281 · 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 designObservational
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

Citations16
Published2020
Admission routes1
Has abstractyes

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