Polarization independent grating-coupling in planar wave-guide using photo-induced birefringence
Bibliographic record
Abstract
The effective refractive index of a guided wave depends on its polarization due to the anisotropic phase shift during the total internal reflection. Thus the grating-coupling angle is in general different for TM and TE polarized light. The compensation of this anisotropy is a difficult task. Some optical materials may present a significant birefringence when exposed to a polarized light. We would like to compensate the optical anisotropy using this photo-induced birefringence phenomenon, which would allow us to bring back the TM grating-coupling angle to the TE one. During these studies, we have developed an optical material, which allows us the formation of a relief grating via traditional light exposure techniques. At the same time, this material exhibits a significant photo-induced birefringence. This takes place thanks to the molecular reorientation phenomena after that the recording of the grating coupler is over. It is important to note that this last process does not affect significantly the grating-coupler. Furthermore we have observed that photo-induced birefringence present a strong reminiscence after the pump beam deactivation. The grating coupling experiments with and without the photo-induced phenomena were conducted.
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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) | 0.000 | 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) | 0.001 | 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".