Hybrid MHD-kinetic modeling of standing shear Alfven waves in space plasmas
Bibliographic record
Abstract
Summary form only given, as follows. Over the last several years, much attention has been directed toward wave-particle interactions in Standing Shear Alfven waves as an acceleration mechanism for electrons. This is especially true in the context of Field Line Resonances and auroral arc formation in the Earth's magnetosphere, but also has bearing in other space plasma systems such as solar coronal loops. In order to help address these issues, we have developed a new hybrid MHD-kinetic model using the cold plasma MHD equations and kinetic electrons. This has been developed in cartesian, cylindrical and dipolar coordinates, with the latter incorporating the effect of the magnetic mirror force. The guiding center equations are used for the motion of the electrons and the system in closed via an expression for the parallel electric field in terms of the moments of the electron distribution function. Perpendicular electric fields are derived from the ideal MHD approximation. We present the results of simulations for all three coordinate systems and highlight specific examples of Landau damping and the effects of magnetic field curvature on parallel electric field generation, electron acceleration and the evolution of the Standing Shear Alfven wave system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".