Simultaneous temperature and strain measurement with bandwidth and peak of the Brillouin spectrum in LEAF fiber
Bibliographic record
Abstract
Leaf fiber's Brillouin gain spectrum characteristics such as peak power and line-width are studied under different strain and temperature conditions. We compared these results with those of SMF and explained the similarities and differences. They are attributed to the dependence of refractive index, density, acoustic velocity, effective length and effective area on strain and temperature. Besides the acoustic waveguide structure is also applied to explain the different behaviors of LEAF and SMF. Based on the linear relationships between the four peaks' line-width and strain/temperature the strain and temperature errors of using each peak's Brillouin frequency shift and line-width are calculated. We achieved a strain error of 36.91με and a temperature error of 1.84°C with a spatial resolution of 4m. This provides another way of measuring the temperature and strain simultaneously using LEAF fiber's bandwidth and peak frequency.
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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 | 0.000 |
| 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 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".