A comprehensive survey of auroral latitude Pc5 pulsation characteristics
Bibliographic record
Abstract
We surveyed 10 years of CANOPUS Churchill line magnetometer data for Pc5 pulsations and catalogued over 4500 hours of pulsation activity (3334 Pc5 pulsation intervals). Many previously observed Pc5 pulsation characteristics are evident in our data including the dawn/dusk occurrence asymmetry, antisunward propagation patterns, strong correlations between Pc5 band power spectral density (PSD) and solar wind flow speed, increased Pc5 pulsation occurrence during times of high solar wind speeds, and statistical evidence for Pc5 pulsation polarization sense reversals in latitude and local time (across local noon). Our investigation also revealed some as of yet unreported results such as a good correlation between solar wind speed/Pc5 band PSD in all MLT sectors, increased Pc5 pulsation occurrence with IMF B z northward conditions (for all MLTs), and the prevalence of Pc5 pulsations under all Pc5 band relative power values. We used a subset of 800 data intervals which contained Pc5 pulsations in at least three Churchill line stations to search for pulsations that exhibit classic FLR characteristics. Four hundred and fifty of these pulsations matched the FLR criteria and we discovered that the FLR MLT occurrence distribution is asymmetric about local noon with more pulsations occurring in the morning sector (0600–1200 MLT) than the afternoon sector (1200–1800 MLT), and an absence of FLRs at local noon. We also found that the MLT occurrence distribution for the remaining 350 “non‐FLR” pulsations is symmetric about local noon and has a (nonzero) local minimum at noon. In contradiction with the results of some previous studies, we find no evidence of stable, recurring, discrete Pc5 pulsation frequencies in our data set. Instead, our statistics show a continuous distribution of central frequencies and a general lack of frequency stability throughout the course of individual Pc5 pulsation events.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 teacher head, 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".