Using multipoint observations to quantify microburst precipitation caused by whistler mode chorus waves
Bibliographic record
Abstract
<!--!introduction!--> Microbursts are impulsive injections of energetic (few keV to MeV) electrons into the atmosphere, primarily caused by nonlinear scattering by whistler mode chorus waves. While the relative importance of microburst precipitation as a loss process has not been fully quantified, many studies have shown microbursts may be a major loss source for outer radiation belt electrons. Conjunction observations between the FIREBIRD II CubeSats and Van Allen Probes (RBSP) from 2015 – 2019 have presented the opportunity to quantify the importance of microburst precipitation. We utilize this conjunction dataset, along with additional observations of chorus and microburst precipitation, when available, to constrain the size of the microburst-producing chorus region. We will present statistical results for the upper and lower bounds on the size of the region. Additionally, we will discuss wave properties, including amplitude, wave normal angle, duration, and microburst properties including flux and duration to further understand the observable dependence.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".