Detection of Seismic Core Phases from the Northern Atlantic Cyclones on the Australian Spiral-Arm Arrays
Bibliographic record
Abstract
Abstract Microseisms, generated due to continuous harmonic forces by the ocean waves, represent a crucial source of seismic data. Although array techniques effectively detect microseismic signals, especially with dense large-aperture arrays, identifying low-amplitude, core-sensitive body-wave phases remain challenging and particularly rare in the southern hemisphere. The challenge of detecting microseismic core phases is intensified by overlapping with stronger, more pervasive surface-wave signals from proximal microseismic sources. Here, we investigate the feasibility of using small-aperture arrays with a spiral-arm design deployed at multiple locations in Australia. We observe energetic arrivals in secondary microseisms during the northern hemisphere winters and identify the core-sensitive seismic phases from the distant storms in the North Atlantic Ocean. We infer the character and geographic distribution of the sources generating these body-wave signals using the Capon and backprojection methods. We present the observations of distinct PKP branches from the southern tip of Greenland and Newfoundland basin, within the 4–6 s period band. Our findings highlight the efficacy of small-aperture spiral arrays in isolating core-sensitive signals from distant storm activity, with possible future implications for studying the Earth’s interior.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".