Beneficial Impact of Rocket Engine Burns Over Ground VLF Transmitters for Radiation Belt Remediation
Bibliographic record
Abstract
Currently, there are about 10,000 active space objects in orbit around the earth. Satellites have to avoid collisions by energetic particles that can damage solar panels and electronic components. Whistler and electromagnetic ion cyclotron (EMIC) can scatter trapped radiation into the atmospheric loss cone and, thus, reduce energetic particle fluxes. The proliferation of satellite launches and International Space Station (ISS) reboost missions may be used to reduce the populations of harmful radiation. Low frequency (ELF/VLF) waves can be artificially intensified to produce strong electromagnetic (EM) waves (e.g., whistlers). A Rocket Exhaust Driven Amplification (REDA) system has been tested with (1) a ground Navy ELF/VLF transmitter used as coherent wave source, (2) the firing a rocket motor over the transmitter to produce an amplifying medium in the ionosphere and (3) the satellite plasma-wave sensor on the Canadian SWARM-E. Measured wave amplitudes can impact the dynamics in the inner magnetosphere and reduce the lifetime of the radiation belts.
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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".