Multi-instrument observations of soft electron precipitation and its association with magnetospheric flows
Bibliographic record
Abstract
[1] We present a multi-instrument study on the variations of optical auroras and ionospheric electron densities during an interval of a series of fast earthward flows in the magnetotail on 3 March 2009. The flow-related auroral signatures include intermittent higher-latitude (>68° magnetic latitude) intensifications manifested in green and blue line auroras and more latitudinally extended red line auroral intensifications and expansions. During the same interval the Poker Flat incoherent scatter radar (PFISR) detected F region ionospheric electron density enhancements which, together with the red line auroral intensifications, give evidence for soft electron (<1 keV) precipitation associated with fast magnetospheric flow activity. We demonstrated the southward motion of ionospheric electron density patches in correspondence to individual earthward flow bursts and auroral activations. By virtue of the multibeam technique of PFISR we construct the altitudinal profile of the density patches and estimate that the characteristic energies of the precipitating electrons were on order of a few hundred eV, comparable to the observed electron temperature in the near-Earth central plasma sheet (CPS). We propose that the fast flows give rise to enhanced ELF wave activity, which causes strong pitch angle diffusion of the soft electron population in the CPS via wave-particle interactions. The precipitation may be further aided with a moderate field-aligned potential drop comparable to or smaller than the CPS electron temperature. When the flows penetrate into the inner plasma sheet, the adiabatic drift motion of soft electrons may lead to a decreasing trend of electron energy with decreasing radial distance, which is manifested in PFISR observations as an ascending trend of the altitude range of the density patches toward the equatorward auroral border.
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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 | 0.001 | 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) | 0.000 | 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".