Numerical and experimental investigations of transformations of near-field to far-field scattering measurements
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Bibliographic record
Abstract
Due to the size of a target and measurement constraints, the measurements of monostatic acoustic scattering are often made in the near field of the target. For many applications, it is an estimate of the far-field target scattering strength, which is desired. In this presentation some model-based inversion techniques, which can be used to predict far-field monostatic target strengths as a function of aspect angle, are derived. In particular, a set of near-field measurements is used in an inversion scheme to compute coefficients for either a linear array of point scatterers or for a generalized Kirchhoff model of the target. The resulting model is then used to predict the far field scattering amplitudes. Simulated and experimental data are used to illustrate the accuracy of the proposed methods.
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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