On the von Mises Phase Model for the FFT-Based Two-Channel Digital Interferometer
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Bibliographic record
Abstract
In scientific literature on geolocation applications, it has been demonstrated by theoretical numerical techniques that the von Mises distribution can be effectively used to model phase measurements for the frequency-domain FFTbased two-channel digital interferometer if there is no input data overlap. For the more difficult case of overlapped input data, no such systematic theoretical treatment has been published. In this paper, we fill this literature gap and, using a combination of theoretical analysis and computer simulations, we show that the same conclusion also holds true in the case of overlapped input data. Thus the von Mises distribution can be always used as an effective alternative phase model for FFT-based two-channel digital interferometers no matter whether there is input data overlap or not.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 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