Behavior of the ULF mean power spectral density on the electron flux variation related to CME and HSS structures during the Van Allen Probes era
Bibliographic record
Abstract
The ULF frequency range are know to play a significant role on the energy changes of the Van Allen´s outer radiation belt electron flux, violating the third adiabatic invariant, through a resonant interaction. The main mechanism involved is the radial diffusion, it is an stochastic process that take account the wave and the particle drift frequencies. There are some proposed models to explain the ULF-particle interaction deriving the radial diffusion coefficients. All the models consider the polarization modes of the ULF waves on the efficiency of the interaction. The contribution of the fluctuation of the magnetic and electric field are computed taking account the power spectrum density (PSD) of the signal. This work aims to estimate the behavior of the integrated ULF wave PSD amplitude, in the frequency range of the Pc3 and Pc5 geomagnetic pulsation on the magnetic field data recorded ground based stations from the Churchill line disposition of the Canadian Array for Realtime Investigations of Magnetic Activity (CARISMA) magnetometer network, for all the cases that have an increase on the 2.10 MeV electrons recorded by the Relativistic Electron Proton Telescope (REPT) instrument, on board of the Van Allen Probes, related to Coronal Mass Ejection (CME) and High Speed Streams (HSS) events, during the October 2012 to December 2016 period. This arrangement allows the verification of the PSD according to the radial distance in the magnetosphere, covering all the external radiation belt region.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".