Energization of radiation belt electrons by ring current ion driven ULF waves
Bibliographic record
Abstract
In this paper we examine the hypothesis that MeV energy radiation belt electrons can be energized by ULF waves, the ULF waves themselves being excited by drift‐bounce resonance with energetic ring current ions. We show that this energization is most likely to occur during depleted plasmatrough conditions and when the plasmapause lies on a low L‐shell. For example, when the plasmasphere has been eroded so that the plasmapause lies at L = 3, then efficient energization for electrons with energies >1 MeV at L ≃ 3–4 can be caused by ULF waves generated by the N = 2 drift‐bounce resonance with either ≃ 10–15 keV H+, or ≃ 100–300 keV O+, ring current ions respectively. We illustrate this transfer of energy from the ring current to the radiation belt by considering a radiation belt electron drift resonance with fundamental field‐aligned mode m ≃ +20 guided poloidal Alfvén waves, the waves being excited by westward drifting ring current ions. Our results are significant in that they offer a new paradigm for the ULF wave energization of MeV radiation belt electrons, suggesting that ring current ion driven ULF waves may play an important role in radiation belt energization by ULF waves. Given the prevalence of ∼100 keV O+ ions in the ring current at L ∼ 3–4 during storm‐times, and the storm‐time erosion of the plasmapause, the conditions required for efficient ULF wave energy transfer from the ring current to >1 MeV electrons in the radiation belt will be satisfied during storm‐times.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".