Exploring the Link Between Cosmic Noise Absorption Events and Whistler-Mode Waves
Bibliographic record
Abstract
Ionospheric disturbances play a critical role in radio wave propagation, with implications for communication, navigation systems, and understanding space weather dynamics. Among the tools used to probe these disturbances, relative ionospheric opacity meters (riometers) provide valuable insights by measuring cosmic noise absorption (CNA). These absorption events offer a window into the diverse physical processes driving energetic electron precipitation and their subsequent impact on the ionosphere.This study utilizes observational data from the University of Calgary network of single-frequency wide-beam (GO-Canada) riometers. A classification system was developed to segregate riometer absorption events into distinct groups based on their time-lagged signatures observed across different longitudes by stations in the East-West chain of the riometer network.We investigate the correlation between wave occurrences measured onboard the THEMIS satellite and electron precipitation inferred from riometer absorption measurements across various event types. The goal is to determine whether these correlations align with established geophysical processes, such as precipitation driven by whistler-mode waves, and to quantify the strength and significance of these relationships. By examining the temporal and spatial patterns of cosmic noise absorption events in conjunction with satellite-based measurements, we aim to provide a detailed assessment of how well these phenomena correlate. This analysis seeks not only to validate the underlying geophysical mechanisms but also to enhance our quantitative understanding of the role of whistler-mode waves in driving electron precipitation and subsequent ionospheric disturbances.
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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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".