Simultaneous Measurement of Temperature and Strain in a Dual-Core As<sub>2</sub>Se<sub>3</sub>-PMMA Taper
Bibliographic record
Abstract
We propose and demonstrate an approach for high-sensitivity simultaneous temperature and strain measurement in a dual-core As2Se3-polymethyl methacrylate (PMMA) taper. High measurement sensitivity is achieved by combining the large thermal-expansion coefficient of the PMMA cladding, the low stiffness of the micrometer diameter As2Se3core, and the large difference between the refractive indices of As2Se3and PMMA. High measurement sensitivities of -115 pm/°C and -4.21 pm/με are measured from the transmission spectrum of one principal polarization axis of the dual-core fiber, and -35.5 pm/°C and -3.16 pm/με are obtained from the transmission spectrum of the second polarization axis of the dualcore fiber. Decorrelation between the temperature and strain measurement sensitivities of the principal polarization axes is achieved through thermally induced squeezing of the As2Se3cores by the PMMA cladding due to an order of magnitude difference between the thermal-expansion coefficients of As2Se3and PMMA, enabling simultaneous measurement of temperature and strain variations with the temperature and strain uncertainty of 0.15°C and 1.87 με.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".