Electro-optic beam scanning in domain inverted LiTaOâ for fast optical switching
Bibliographic record
Abstract
This thesis investigates the design, simulation, fabrication and testing of electro-optic beam scanners in domain inverted LiTaO3 . To build these devices, a process of fabrication was developed including the construction of an electro-optic poling station for ferroelectric domain inversion of LiTaO3. This fabrication process was used to construct electro-optic prism beam scanners, which were designed and simulated to provide voltage controlled deflection of a collimated laser beam at 1310nm. Two electro-optic scanners were tested yielding linear deflection up to 1.064° and 0.986° at 1500V; agreeing well with simulation. Both scanners were found to have insertion losses of 1.7 dB and 2.3 dB in the off and on states respectively, and crosstalk of -25 dB. Degradation of performance was measured as a function of polarization extinction ratio, polarization misalignment, and applied voltage. Both devices are found to exhibit performance well suited for the construction of 1 x 2 fiber optic switches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".