Seismic event parameterization in the Fractional Fourier transform domain
Why this work is in the frame
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Bibliographic record
Abstract
Many seismic data processing techniques are based on different forms of time-frequency representation of signals. In the Fractional Fourier transform (FRFT), a signal can be represented in multiple domains including time and frequency. This gives an extra degree of freedom in data processing where the conventional Fourier transform (FT) is used. In the FT the kernel is complex sinusoids, whereas in the FRFT the kernel is a set of linear chirps. A parabolic event in the FT-FRFT domain can be modeled as a linear chirp for each frequency. We took advantage of this linear chirp property to separate spatially coherent parabolic events from linear events with a high level of accuracy. The caveat of the FRFT domain filtering is the selection of an optimum set of fractional orders. Relationships among fractional order, frequency, and linear or parabolic event parameter are also discussed.
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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 | 0.002 | 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) | 0.001 | 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 it