Modeling ULF waves in a compressed dipole magnetic field
Bibliographic record
Abstract
This paper presents the results of a linear model for global scale magneto‐hydrodynamic (MHD) waves in a compressed dipole model magnetosphere. We examine scenarios where a localized monochromatic source along the magnetopause boundary launches MHD fast mode ultralow frequency (ULF) waves into the magnetosphere, where they couple to shear Alfvén waves. Sharply peaked field line resonance (FLR) structures are found to form at discrete locations within the magnetosphere in response to the fast mode driver. The extent in local time and relative amplitudes of FLR structures are found to depend strongly on the source location along the magnetopause boundary, indicating how the addition of day/night asymmetry affects the penetration of MHD fast waves within the magnetosphere. This also suggests that observed FLR structures within the magnetosphere may be used to deconvolve the spatial characteristics of the ULF wave source at the magnetopause, giving insight to the excitation mechanism responsible for observed ULF waves. As an example, we consider narrow band ULF activity observed on 25 November 2001 during a high solar wind speed interval following a geomagnetic storm and qualitatively reproduce the spatial and temporal characteristics of observations made by the Prince George SuperDARN radar by constraining the ULF wave source characteristics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".