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Record W3044702126 · doi:10.1029/2020ja028031

A Short‐lived Three‐Belt Structure for sub‐MeV Electrons in the Van Allen Belts: Time Scale and Energy Dependence

2020· article· en· W3044702126 on OpenAlexaff
Yixin Hao, Qiugang Zong, Xu‐Zhi Zhou, Hong Zou, R. Rankin, Yixin Sun, Xingran Chen, Ying Liu, S. Y. Fu, D. N. Baker, H. E. Spence, J. B. Blake, G. D. Reeves, S. G. Claudepierre

Bibliographic record

VenueJournal of Geophysical Research Space Physics · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsVan Allen radiation beltVan Allen ProbesElectronPhysicsHissGeomagnetic stormPlasmasphereAtomic physicsFlux (metallurgy)Earth's magnetic fieldComputational physicsMagnetosphereAstrophysicsNuclear physicsMagnetic fieldMaterials sciencePlasma

Abstract

fetched live from OpenAlex

Abstract In this study we focus on the radiation belt dynamics driven by the geomagnetic storms during September 2017. Besides the long‐lasting three‐belt structures of ultrarelativistic electrons ( > 2 MeV, existing for tens of days), which has been studied intensively during the Van Allen Probe era, it is found that magnetospheric electrons of hundreds of keVs can also have three‐belt structures at similar L extent during storm time. Measurements of 500–800 keV electrons from MagEIS instrument onboard Van Allen Probes show double‐peaked ( L = 3.5 and 4.5, respectively) flux‐versus‐L‐shell profile in the outer belt, which lasted for 2–3 days. During the time interval of such transient three‐belt structure, the energy‐versus‐L spectrogram shows novel distributions differing from both “S‐shaped” and “V‐shaped” spectrograms reported previously. Such peculiar distribution also illustrates the energy‐dependent occurrence of the three‐belt profile. The gradual formation of “reversed energy spectrum” at L ∼ 3.5 also indicates that hiss scattering inside the plasmapause contributed to the fast decay of sub‐MeV remnant belt.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.678

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 science0.0010.000
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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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

Citations14
Published2020
Admission routes1
Has abstractyes

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