Lower hybrid ion heating cavities in the auroral ionosphere
Bibliographic record
Abstract
Summary form only given. Lower hybrid cavities (LHCs) are localized, density-depleted regions of enhanced VLF wave amplitude found within regions of VLF hiss. They can cause ion heating to the level of a few eV in the direction transverse to the geomagnetic field B0. Statistical studies indicate that the cavities are cylindrical or ellipsoidal in shape, are aligned with B/sub 0/, and have diameters of order 20-50 m. There are many outstanding questions surrounding the formation of LHCs, including the origin of their density depletion, their B/sub 0/ aligned length, and the detailed relation between wave fields, plasma density and ion acceleration. The GEODESIC sounding rocket, launched in early 2000, brings some new information to bear on these problems. Over 100 LHCs were encountered near the leading edge of an auroral substorm expansion. A Suprathermal Ion Imager (SII) newly developed for the flight provides 2D ion distribution function images from 0-20 eV with a time resolution of 11 ms, sufficient to resolve core and tail ion distributions at the edges and interiors of individual LHCs cavities. The measurements show tail heating to 1-2 eV superimposed on an unaffected core distribution. Magnetic field observations on GEODESIC indicate a significant enhancement of 0-10 kHz magnetic field fluctuations inside LHCs, in contrast to all previous attempts to detect such fields.
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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) | 0.003 | 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".