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Record W4408437722 · doi:10.5194/egusphere-egu25-6397

Active Removal of Harmful Radiation Belts byRocket Engine Burns Over Ground VLF Transmitters

2025· preprint· en· W4408437722 on OpenAlexaffabout
P. A. Bernhardt, J. Baumgardner, Bengt Eliasson, Jacob Bortnik, Andrew Howarth

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRadiationEnvironmental scienceAutomotive engineeringAcousticsPhysicsEngineeringOptics

Abstract

fetched live from OpenAlex

Satellites try to avoid impacts by energetic particles that damage solar panels and electronic components.  Whistler and electromagnetic ion cyclotron (EMIC) waves can scatter trapped radiation into the atmospheric loss cone to reduce energetic particle fluxes.  The proliferation rocket burns during satellite launches and ISS reboost missions may reduce the populations of harmful radiation.  Rocket exhaust can artificially intensify low frequency (ELF/VLF) waves by Rocket Exhaust Driven Amplification (REDA). An on orbit demonstration of REDA used (1) a ground Navy ELF/VLF transmitter used as coherent wave source of 6 pt waves, (2) the firing a rocket motor over the transmitter forming an amplifying medium in the ionosphere and (3) a plasma-wave sensor on the Canadian SWARM-E.  The burn produced 300 pT whistler waves that rapidly reduce the lifetime of the radiation belts.     The whistler amplification process has been simulated with rocket engine burns in low earth orbit to create pickup-ion plumes with velocities of  4  – 10 km/s relative to the ambient ionosphere.  The amplification process starts with charge exchange between the exhaust molecules and the ambient O+ in the ionosphere to produce water vapor ions that spiral around the earth’s magnetic field lines.  This ion-velocity-ring distribution generates broadband, oblique-lower-hybrid (OLH) waves, which act as a pump for the parametric amplifier.  Nonlinear interactions of the pump promote spatial growth in the whistler waves as they propagate through the exhaust cloud.  The key features of the REDA process are broadband gain, bi-directionality along the magnetic field, pump depletion, phasing, and feedback.  Pump depletion limits the intensity of the output whistler waves by wave energy conservation.  The Whistler Traveling Wave Parametric Amplifier provides an efficient mechanism for Rocket Exhaust Driven Amplification (REDA) of signals in space.The hypersonic pickup ions stream across magnetic field lines to excite plasma waves that form an active region capable of exciting and amplifying extremely strong low-frequency whistler-mode waves capable of scattering energetic particles in the radiation belts.  A recent experiment used a 60-second burn of the Cygnus engine to amplify VLF signals at 300 Hz ELF and 25.2 kHz VLF by between 30 and 50 dB.   Several nonlinear theoretical models have been derived at NRL using parametric amplification and wave-particle interactions to explain this process.  The critical parameters are (1) the injection direction and velocity relative to the earth’s magnetic field lines and (2) the density of the ambient atomic oxygen ions.  These features are being tested with scheduled launches with a large range of engine flows at different altitudes and times of day.  Many opportunities exist to conduct REDA missions.  SpaceX is currently launching multiple Falcon 9 rockets with Starlink satellites deployed at fixed inclinations and de-orbit burns occurring repeatedly over the same geographic locations.  VEGA launches from French Guiana regularly have Attitude & Vernier Upper Module (AVUM) burns over the NAA VLF transmitter in Maine USA.     P.A. Bernhardt et al. (2022) Active precipitation of radiation belt electrons using rocket exhaust driven amplification (REDA) of man-made whistlers. Journal of Geophysical Research: Space Physics, 127(6).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.237
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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