Temperature dependence of Brillouin frequency, power, and bandwidth in panda, bow-tie, and tiger polarization-maintaining fibers
Bibliographic record
Abstract
We report a study of the temperature dependence of the Brillouin gain and loss for three different kinds of commercial polarization-maintaining fibers for the first time to our knowledge. The Brillouin frequency differences between the fast and slow axes are independent of the temperature, varying between 2.9 and 4.3 MHz. Using 2-ns pulses (equivalent to a spatial resolution of 20 cm), we find that the temperature coefficients for the relative Brillouin power at a wavelength of 1310 nm are 0.26%/degrees C (panda fiber), 0.23%/degrees C (bow-tie fiber), and 0.04%/degrees C (tiger fiber); the temperature coefficients for the Brillouin frequency are 1.37 MHz/degrees C (panda), 1.66 MHz/degrees C (tiger), and 2.30 MHz/degrees C (bow-tie). The temperature coefficients for the Brillouin gain bandwidth are 0.15 MHz/degrees C (panda), 0.20 MHz/degrees C (bow-tie), and 0.22 MHz/degrees C (tiger).
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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".