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Record W4395066088 · doi:10.5539/apr.v16n1p134

Variability of the Magnetospheric Convection Electric Field (MCEF) Under Shock Activity During the Solar Cycle 24

2024· article· en· W4395066088 on OpenAlexvenueno aff
Nongobsom Bazié, Christian ZOUNDI, Alfred Jean Stéphane Dama, Frédéric Ouattara

Bibliographic record

VenueApplied Physics Research · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsShock (circulatory)MechanicsElectric fieldConvectionPhysicsAtmospheric sciencesSolar cycle 22GeophysicsSolar cycleMagnetic fieldSolar wind

Abstract

fetched live from OpenAlex

In the present work, we have analyzed the statistical variability of the MCEF under shock activity during solar cycle 24 as a function of the different phases of solar cycle 24 and as a function of the seasons. We compared the MCEF under shock periods with that under quiet periods. Solar cycle 24 recorded an average MCEF value of 0.28816888 mV/m, i.e. an average value of 0.26399935 mV/m for the ascending phase, 0.2961038 mV/m for the maximum phase and 0.28652747 mV/m for the descending phase. The minimum quantitative deviation from quiet activity observed is 59%. Seasonally, the highest MCEF values were recorded in Summer and Winter, and the lowest in Autumn and Spring. The corresponding mean values are 0.32707785 mV/m, 0.30966472 mV/m, 0.27061512 mV/m and 0.27020401 mV/m respectively. The minimum quantitative deviation from quiet activity observed is 66 %. This study showed that in most cases magnetic reconnection occurs on the night side between 1800 UT and 2400 UT.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.284
Teacher spread0.270 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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