Design, BPM simulation and optimization of Mach-Zehnder 3-wavelength demultiplexer based on Runge-Kutta method
Bibliographic record
Abstract
The design, BPM simulation and optimization of a Mach-Zehnder 3-wavelength demultiplexer (MZ-3WDM) for the wavelengths /spl lambda/1=980 nm, /spl lambda/2=1310 nm and /spl lambda/3=1550 nm based on the Runge-Kutta method is presented. The combination of the effective index method based Rung-Kutta and a finite difference vector beam propagation method (FD-VBPM) provide for a computational design tool that yields good accuracy. The total device length obtained is 1.49 cm. The average distinction ratios, for the three wavelengths, 980 nm, 1310 nm and 1550 nm obtained are 34, 32 and 26 dB, respectively. The effect of the wavelength deviations, the error in diffusion time and the error in the waveguides width on the extinction ratio were carried out. The results of the study indicated that a 20 dB of extinction ratio for the three wavelengths could be obtained over a bandwidth of 32 nm range, a /spl plusmn/12 min error in diffusion time and a /spl plusmn/100 nm error in waveguides width.
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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".