Solar wind modulation of cusp particle signatures and their associated ionospheric flows
Bibliographic record
Abstract
This paper presents a multi‐instrument case study of the northern polar cusp at a variety of altitudes in conjunction with solar wind measurements. In the midaltitude cusp the Polar spacecraft observed pulsed particle and magnetic field signatures with periodicities ranging from ∼5 to 40 min for over 3 hours. Simultaneously, the CUTLASS HF radars measured poleward moving radar auroral forms (PMRAFs) with inter‐PMRAF periods similar to the Polar periodicities but several degrees of magnetic latitude poleward of the ionospheric footprint of the spacecraft. Such PMRAFs have previously been identified as ionospheric signatures of transient reconnection and flux transfer events. During this event, both the ACE and Wind spacecraft were making measurements in the solar wind. Oscillations in the time‐shifted solar wind magnetic fields and flows and calculated reconnection electric fields were observed with the same periodicities as those seen by Polar and CUTLASS. We conclude that the solar wind Alfvén waves modulate the dayside interaction, producing periodic flux transfer events resulting in the pulsed cusp particle signatures and PMRAFs. This study is the first observation of solar wind driven pulsed cusp particle signatures and associated PMRAFs, i.e., at both magnetospheric and ionospheric altitudes, at multiple simultaneous discrete periodicities.
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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 | 0.000 | 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) | 0.000 | 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".