Integrated Fabry-Perot optical space switches
Bibliographic record
Abstract
As information technologies are adopted by more people to accomplish a greater variety of tasks, the need for optical telecommunication networks with higher capacity and flexibility grows. In addition to improving throughput by increasing transmission rates and the number of wavelength channels, novel network architectures using optical burst or packet based switching are investigated because they allow a more efficient use of transmission capacity and they enable the reorganisation of wavelength connections according to traffic demands. The implementation of such networks requires fast, broadband, transparent, and scalable optical space switches. Although research on optical space switches has been on going for decades, no solution that meets all of the above requirements has been reported yet. The work presented in this thesis introduces a novel optical space switch configuration based on tuneable integrated Fabry-Perot filters working at oblique incidence and investigates their performance. A design method to implement this new switch concept is described and demonstrated with the fabrication and characterisation of optical prototypes. The prototypes are implemented in GaAs/AlGaAs planar waveguides and they are designed to be operated using the electro-optic effect. Deep etching is used to create the switch features and a comprehensive optimization of the waveguide structure is conducted to minimize radiation losses. To maximize the number of wavelength channels that can be controlled with a small refractive index modulation, the switches have a 200 GHz comb frequency response that transmits/reflects one out of every two channels on the ITU 100 GHz grid. Thus, shifting their frequency response by one channel spacing is sufficient to change the state of every channel. Furthermore, four Fabry-Perot cavities are coupled to obtain a flat and wide theoretical passband of more than 50 GHz. A Gaussian beam p
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".