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Record W1801140010 · doi:10.1002/jgra.50400

Forward mapping of solar energetic proton distributions through the geomagnetic field

2013· article· en· W1801140010 on OpenAlexafffund
Alexei Kouznetsov, D. J. Knudsen

Bibliographic record

VenueJournal of Geophysical Research Space Physics · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsUniversity of Calgary
FundersCanadian Space Agency
KeywordsEarth's magnetic fieldProtonPolarIonospheric dynamo regionPhysicsMagnetosphereRing currentComputational physicsSolar energetic particlesDipoleGeophysicsMagnetic dipoleInterplanetary spaceflightGeomagnetic stormSolar windCoronal mass ejectionMagnetic fieldAstronomyNuclear physics

Abstract

fetched live from OpenAlex

During solar proton events, large ejections of energetic protons spread throughout the interplanetary medium, penetrate the geomagnetic field, and are deposited in the upper polar atmosphere where they play important roles in its physical and chemical processes. We develop a model of direct proton propagation through a static geomagnetic field based on a generalized leapfrog method and validate it through comparison with Störmer theory. We then apply the algorithm to two ideal cases representing the late and early phases of a solar particle event, for proton energies of 10, 100, and 1000 MeV. The late‐phase case is represented by an isotropic infinite bath of protons surrounding the magnetosphere; in this case, most protons reaching the polar cap originate within ±20° of the magnetic equatorial plane, with pronounced peaks near ±20°. The early‐phase case is represented by broad, monodirectional proton beams; these sources are highly focused by the geomagnetic field, with all particles mapping to small regions in the polar cap only a few hundred kilometers across, and with low‐energy particles being focused more than higher‐energy ones. Pure dipole and International Geomagnetic Reference Field‐11 magnetic field models lead to very similar fluence patterns in the polar cap, though the latter are somewhat less focused.

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 score0.176
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.311
Teacher spread0.286 · 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

Citations3
Published2013
Admission routes2
Has abstractyes

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