Linear cross talk in wave-mixing optical cross connects
Bibliographic record
Abstract
Multistage cross connects with wave-mixing conversion have two essential characteristics. First, individual converters are simultaneously shared by a significant number of channels. Second, individual channels may be converted through one or more cascaded wave-mixing conversions. The combination of both design principles contributes to the degradation of the transmission performance in the networks, to the point where it may be legitimate to question the practicality of multistage wave-mixing networks. To discuss the matter, a cross-talk analysis is conducted for wave-mixing networks with feed-forward multistage structures, and 2×2 switching elements, such as multilog networks. It is found that the dominant form of cross talk is of the first-order intraband type and that such cross talk accumulates in switching elements and in wave-mixing converters. Such induced cross talk not only results in stringent component requirements both for switching elements and for demultiplexers integrated with wave-mixing converters. It also limits the scalability and cascadability of the nodes.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".