Differential Brillouin gain for improving the temperature accuracy and spatial resolution in a long-distance distributed fiber sensor
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Bibliographic record
Abstract
We demonstrate a 12 km differential pulse-width pair Brillouin optical time-domain analysis (DPP-BOTDA) using 40 ns and 50 ns pulses with DC-coupled detection. A spatial resolution of 1 m and a narrowband Brillouin gain spectrum of 33 MHz are obtained simultaneously compared with 88 MHz with the use of 10 ns pulses in a conventional BOTDA. The experimental results show that the differential Brillouin gain of a 40/50 ns pulse pair is 7 times stronger than the direct Brillouin gain of BOTDA with the use of a 10 ns pulse, and the temperature uncertainty is 0.25 degrees C compared with 1.8 degrees C for a 10 ns pulse. As the pulse-width difference decreases from 10 ns to 1 ns, corresponding to a spatial resolution from 1 m to 10 cm, the prediction of temperature uncertainty will only increase from 0.25 degrees C to 0.8 degrees C for DPP-BOTDA over a 12 km long single-mode fiber.
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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