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Record W7132689014

Conjugate ground-satellite ELF/VLF emissions observed with strong magnetospheric compression

2017· article· en· W7132689014 on OpenAlexaboutno aff
C. Martinez-Calderon, K. Shiokawa, K. Keika, S. Kurita, M. Ozaki, I. Schofield, M. Connors, C. A. Kletzing, O. (Ondřej) Santolík, W. S. Kurth

Bibliographic record

VenueASEP · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHissAmplitudeImpulse (physics)MagnetosphereConjugateLatitudeWave propagationAtmospheric electricity
DOInot available

Abstract

fetched live from OpenAlex

We report the first simultaneous ground and satellite conjugate observations of ELF/VLF waves associated with magnetospheric compression. On 23 December 2014, a receiver at subauroral latitudes at Athabasca (ATH), Canada (54.7N, 246.7E, L=4.3) observed an ELF/VLF wave burst centered at ~2.5 kHz. This emission showed discrete elements and lasted ~3 minutes starting at 11:17 UT (~2.4 MLT). RBSP-B, located nearly conjugate to ATH in the post-midnight sector (~3 3 MLT) observed a similar emission. This wave burst was observed a few minutes after an intense sudden impulse (SYM-H amplitude ~53 nT) caused by the enhancement of solar wind speed (~330 to ~420 km/s) and dynamic pressure (~2 to 6 nPa) during northward IMF. At 11:16 UT, RBSP-B also observed a separate hiss emission below 1.5 kHz that was not observed at ATH. We investigate the possible generation mechanisms of these waves and suggest that they differ for the hiss and discrete emissions and that their propagation to the ground is also different.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.020
GPT teacher head0.246
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueASEPSame topicIonosphere and magnetosphere dynamicsFrench-language works237,207