High performance Brillouin strain and temperature sensor based on frequency division multiplexing using nonuniform fibers over 75km fiber
Bibliographic record
Abstract
We report a high-performance 75-km Brillouin optical time-domain analysis (BOTDA) based on frequency-division multiplexing using multi-segment nonuniform fibers, realizing a spatial resolution of 1 m and an accuracy of 1°C/20Νε at the end of 75 km, and a spatial resolution of 0.5 m and an accuracy of 0.7°C/14με; at the end of 50 km. Nonuniform fibers with different Brillouin frequency shifts reduce the effective Brillouin amplification length to one resonant Brillouin frequency segment rather than the entire sensing fiber, and thus the Brillouin interaction can be enhanced in individual segments and signal-to-noise ratio can be improved without the pump pulse depletion or excess amplification on probe pulse.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".