Least Squares Wave Equation Migration of Elastic Data
Why this work is in the frame
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Bibliographic record
Abstract
Summary Least squares migration compensates for the effects of missing data, noise, and illumination by imposing various constraints on an image while ensuring the model fits the observed data. Multicomponent seismic data are well suited for least squares migration as they generally suffer from many of the same complications as single component data. This article extends least squares wave equation migration to two component elastic data in isotropic media. Forward and adjoint operators are written using Helmholtz recomposition/decomposition operators implemented in the Fourier domain, while extrapolation is carried out using a split-step operator. Poynting vectors calculated using source and receiver side P-wave potentials are used to calculate angle gathers. We regularize the inversion by dip filtering in the angle domain to reduce the effect of source/receiver sampling, noise, and PP/PS crosstalk artifacts.
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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 | 0.001 |
| 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