Gyroresonant acceleration of electrons in the magnetosphere by superluminous electromagnetic waves
Bibliographic record
Abstract
Superluminous auroral kilometric radiation originates in the auroral cavity of the Earth's magnetosphere as right‐hand extraordinary (R‐X) mode emissions, with additional contributions from the left‐hand ordinary (L‐O) and left‐hand extraordinary (L‐X) modes. The three modes can propagate into the outer radiation belt and undergo gyroresonant interaction with trapped energetic electrons over a broad extent of the outer magnetosphere. We develop a general theory of quasi‐linear diffusion and construct resonant diffusion curves in velocity space for each superluminous wave mode. The potential for stochastic electron acceleration is controlled by the dispersive properties of the waves and the ratio between the electron gyrofrequency and plasma frequency. It is found that each of the R‐X, L‐O, and L‐X modes can produce significant acceleration of electrons over individual regions of parameter space. The L‐O mode is found to have the potential for accelerating electrons from ∼10 keV to ∼MeV energies, over a broad range of wave normal angles, in spatial regions extending from the auroral cavity to the high‐latitude (>30°) outer radiation belt. The R‐X mode appears to be less effective for accelerating magnetospheric electrons, since acceleration to significant energies (∼MeV) requires very small wave normal angles (<10°). The potential for significant electron acceleration in the magnetosphere by L‐X mode waves is restricted not least by the requirement of high minimum energies, e.g., 400 keV in the outer radiation belt. To assess whether the superluminous wave modes contribute significantly to the stochastic acceleration of relativistic electrons during geomagnetic storms, the present study needs to be supplemented by ray‐tracing analyses and the calculation of energy diffusion coefficients incorporating data on wave power.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".