Spatial resolution analysis for discrete Fourier transform-based Brillouin optical time domain reflectometry
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Bibliographic record
Abstract
Discrete Fourier transform (DFT) requires many sampled points for a spectrum. We find that the spatial resolution of the DFT-based Brillouin optical time domain reflectometry (BOTDR) is determined by the pulse width of the probe light and the time length of the sampling data used to perform the DFT. The best spatial resolution is limited by the pulse width. At a certain sampling rate, the spatial resolution increases linearly with the number of points in DFT. The frequency uncertainty improves with the increased number. Window function restrains the spectral leakage significantly and can improve the spatial resolution. But when the influence of the spectral leakage can be neglected, the frequency uncertainty without a window function is better than that with a window function for the same spatial resolution.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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