Simultaneous strain and temperature measurement in PM fibers using Brillouin frequency, power, and bandwidth
Bibliographic record
Abstract
The strain and temperature dependence of the Brillouin gain/loss spectrum has been studied in terms of Brillouin frequency, power and bandwidth for panda, bow-tie and tiger polarization maintaining (PM) fibers using our Brillouin gain/loss based distributed sensor system for the first time. The PM fibers are stressed at various temperature to measure the power, bandwidth and Brillouin frequency coefficients at the spatial resolution of 20 cm. Using our measured coefficients with various combinations Brillouin power and bandwidth and Brillouin frequency, we realized three groups of simultaneous temperature and strain sensing, for Brillouin frequency combined with bandwidth, strain/temperature resolutions are 39με/2°C (panda), 126με/3°C (bow-tie), 598με/16°C (tiger); for the Brillouin frequency combined with power, strain/temperature resolutions are 153με/8°C (panda), 237με/4°C (bow-tie); for the bandwidth combined with power, strain/temperature resolutions are 135με/38°C (panda), 195με/38°C (bow-tie).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".