Silicon Photonic Vernier Cascaded Microring Filter for Broadband Tunability
Bibliographic record
Abstract
We report a 4th-order Vernier cascaded microring (VCMR) filter on Silicon-on-Insulator that can be continuously tuned over an effective free spectral range of 32 nm using the thermo-optic effect. The filter consists of two cascaded double-microring filter stages with free spectral ranges of 7.8 nm and 6.5 nm. The cascaded architecture allows the two stages to be thermally isolated and individually calibrated, which enables accurate tuning of the VCMR filter without further spectral optimization at each set wavelength. We achieved a wavelength tuning accuracy of ±15 pm over 32 nm and a 3-dB bandwidth variation of ±6.5%, which represent the most accurate tuning performance reported for silicon Vernier microring filters to date. In addition, integrated on-chip thermistors allow for precise tracking of the local temperatures of the microrings, thereby providing a mechanism for monitoring the filter performance.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".