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Record W2891529914 · doi:10.3847/1538-4357/aadaeb

Analytical Description of the Time-dependent Perpendicular Transport of Energetic Particles

2018· article· en· W2891529914 on OpenAlexaff
A. Shalchi

Bibliographic record

VenueThe Astrophysical Journal · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPhysicsMagnetic fieldPerpendicularDiffusionComputational physicsClassical mechanicsShock (circulatory)Cosmic rayPlasmaSolar windMagnetohydrodynamicsNonlinear systemMechanicsAstrophysicsNuclear physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract A fundamental problem in plasma and astrophysics is the motion of energetic and electrically charged particles through a magnetized plasma, e.g., cosmic rays propagating through the interplanetary or interstellar medium. In particular, the motion of particles across a large-scale or guide field is difficult to describe analytically. Recently, an advanced nonlinear theory for perpendicular transport was developed. The theory shows good agreement with simulations and can be used for a variety of synthetic turbulence models. An interesting feature of the latter theory is that it allows for a full time-dependent description of perpendicular transport, including the initial ballistic motion, sub-diffusion, and the recovery of diffusion as soon as there is transverse complexity of the magnetic field. It is the purpose of the current paper to use this theory to derive analytical forms of the time-dependent perpendicular diffusion parameter for different cases. This is useful for a variety of applications, such as studies of shock acceleration and solar modulation.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.222

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 science0.0000.000
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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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