Dynamics of Hydrogen Diffusion as a Key Component of the Photosensitivity Response of Hydrogen-Loaded Optical Fibers
Bibliographic record
Abstract
We present a new model predicting the photosensitivity response of hydrogen/deuterium-loaded optical fibers used for the fabrication of fiber Bragg gratings (FBGs). This model considers space- and time-dependent hydrogen concentration as a key phenomenon to explain the growth rates of strong index changes ( > 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> ). The model outputs are compared to several photosensitivity experiments made with three different fibers and different hydrogen-loading concentrations. The experimental results presented in this paper clearly show that the time interval between each step of the grating inscription has an impact on the overall photosensitivity response. Moreover, the proposed model confirms that the variations observed in the measured photosensitivity come from changes in hydrogen concentration resulting from its consumption by the photosensitivity reaction and its diffusion into the glass. This model will find application in the precise fabrication of strong FBGs by helping to predict the optimum writing conditions.
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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".