Bibliographic record
Abstract
This thesis presents a study of the ionospheric response to dayside magnetopause reconnection. The principal data set employed is the ionospheric convection velocities from the CUTLASS HF radars. In addition to this, images of the ultraviolet aurora from the VIS Earth Camera and the Far Ultraviolet Imager aboard the Polar spacecraft were examined. In situ measurements have shown that there is a time-dependent, periodic nature to magnetic reconnection, with time scales of the order of minutes; the transient nature of magnetopause reconnection is reflected in the ionospheres. In this thesis the plasma velocity fluctuations in the dayside ionosphere were found to be in full agreement with the repetition rates of bursts of reconnection at the magnetopause, as well as with the repetition rates of polarised moving visible auroral forms seen from Earth. The first-ever full vector measurements of ionospheric convection velocity within the footprint of the reconnecting flux tubes revealed that, despite being transient, magnetic reconnection was a large scale process during which layers of magnetic flux were successively peeled from the magnetopause. Directly measured particle precipitation revealed that particles originating the reconnection region was found to be present on the same magnetic field lines as the HF radar signature of the reconnected field lines. The multi-instrument study of the ionospheric responses to reconnection demonstrated that the measured ionospheric convection velocities are inextricably linked to measured ultraviolet aurora. Energetic particle precipitation from the magnetosphere into the atmosphere via field-aligned currents excites auroral emissions, and field-aligned current estimates from measured ionospheric convection velocities were found to be in excellent agreement with the aurora.
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 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) | 0.001 | 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".