Semi-Analytical Modeling and Design of PANDA-Type Highly-Elliptical-Core Few-Mode Fibers
Bibliographic record
Abstract
We design two PANDA-type fibers featuring stressapplying parts (SAP) and a highly-elliptical-core that each supports five spatial modes with two orthogonal polarization states, for a total of ten linearly polarized modes. In the first fiber, the added stress birefringence maximizes the modal birefringence so that it reaches half of the spatial mode separation, while in the second one it minimizes it. The stress birefringence in both fibers is calculated with a semi-analytical method that mitigates the need for finite element methods (FEM). We optimize the SAP parameters to control the stress distributions in the core and tailor the spacing between the effective refractive indices of the modes over the whole C+L bands. We show that the semi-analytical method can be used to optimize designs that either maximize or minimize modal birefringence. The effective index difference between all modes is increased to more than 5.3×10-4 in the highbirefringence design, whereas the spacing between the orthogonal polarizations within a spatial mode group is reduced to less than 1.05×10-5 in the low-birefringence design. The two fibers thus have potential for short range transmission either without MIMO or with 2×2 MIMO. Considering their array-like modal field distributions, reminiscent of those found in a rectangular waveguide, the fibers may facilitate coupling with integrated mode multiplexers.
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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".