Non-cyclic geometric phase-induced output coupler for optimum out-couple power in optical parametric oscillators
Bibliographic record
Abstract
We present a Geometric Phase (GP)-based Sagnac Anti-Resonant Ring (ARR) interferometer mirror (GP-mirror) for achieving tunable optimum output coupling in Continuous Wave (CW) Doubly Resonant Optical parametric oscillator (DRO). The DRO is designed using a nonlinear crystal MgO: PPsLT of 30 mm length and a grating period of 7.97 μm with a GP mirror in one arm of the standing wave cavity. The GP mirror is constructed using a quarter wave-plate (λ/4), half wave plate (λ/2), and quarter wave-plate(λ/4) at +45◦, θ, -45◦ with respect to vertical polarization, respectively. The DRO output transmission can be varied continuously from 0.6% to 50%, attaining optimum output coupling of 1.4% for maximum power extraction of 2.45 W when pumped with an incident power of 5 W at 47◦C crystal temperature at signal and idler wavelength of 1054 nm and 1074 nm, respectively. The maximum pump depletion of 89% is obtained with a conversion efficiency of 49%. The transmission through a GP-based mirror delivers the tunable optimum output power across the tuning wavelength range ⪆ 90 nm. This showcased GP-mirror concept presents an avenue for enhancing the capabilities and management of coherent sources adjustable across various spectral ranges and across all time scales, ranging from continuous-wave to ultrafast femtosecond domains.
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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 | 0.001 | 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".