Ground-roll attenuation through quaternionic inversion with sparsity constraints
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Bibliographic record
Abstract
Surface waves, such as ground roll, are a major source of coherent noise in land seismic data, and its attenuation is still a challenge during processing. Even with the most simplifying assumption of a homogenous half-space, one can show that ground roll displacements in x and z components of a vectorvalued dataset are related. This paper discusses how these displacements can be integrated into a quaternion array in the frequency-space domain and aim at exploiting the mutual information between these signals. One can use the quaternion array to model surface waves using a least-squares inversion methodology with sparsity constraints and then follow with a subtraction strategy to attenuate the surface waves from the multicomponent data. The quaternionic approach, when contrasted with its scalar/componentwise counterpart, could provide better ground roll attenuation as presented with a test using a 2C-2D field data from Alberta, Canada. Presentation Date: Tuesday, October 13, 2020 Session Start Time: 1:50 PM Presentation Time: 3:30 PM Location: Poster Station 13 Presentation Type: Poster
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it