Addressing shear wave static corrections in the ray parameter domain: a non-stationary interferometric approach
Bibliographic record
Abstract
Summary When velocity contrast at the base of the near-surface zone are small, or when the base shows some degree of structural complexity, delay times of wavefronts transmitted through this zone may become raypath dependent. Due to the low velocity of S-waves this dependency can be translated into significant non-stationary delays. In order to remove this effect we transform the data into a domain in which amplitudes are a function of the raypath angle. Processing the statics in the τ-p domain achieves this goal. The τ-p transform automatically scans the data and captures the intrinsic ray parameter values that represent the data. This idea was implemented and tested on synthetic and field data using an interferometric approch.Results showed thet after removing the statics in the τ-p domain the stacking power and coherency of the events were significantly improved. Aritfacts and resolution of the τ-p transform still need to be adderessed to improve this method.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".