Optimization of Cladding-Structure-Modified Long-Period-Grating Refractive-Index Sensors
Bibliographic record
Abstract
The cladding-modified long-period-grating (LPG) refractive-index sensors with a high-refractive-index overlay are optimized based on systematical studies on the structure-modified LPG. Dependence of the cladding-mode effective indexes on the parameters of the structure-modified LPG, such as the overlay refractive index (RI), the overlay thickness, the cladding-layer radius, and the ambient RI, as well as the order of cladding mode, are investigated in detail. An optimization procedure based on reducing the cladding radius, keeping the grating period as an adaptive parameter, and employing the HE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">13 </sub> mode notch-wavelength shift is proposed for the LPG RI sensors. By using the proposed optimization method, it is shown that an ambient RI sensitivity as large as 5980 nm/RI can be achieved, representing a threefold sensitivity enhancement, as compared to the best result obtained from the reported structure, in which the high HE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">17</sub> mode resonate notch wavelength was employed in sensing
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".