Optical Parametric Oscillator Longitudinal Modes Suppression Based on Smith Predictor Control Scheme
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Bibliographic record
Abstract
Fiber optical parametric oscillators (FOPOs) contain multiple longitudinal modes arising from the hundreds of meters to a kilometer scale length of their cavity. To obtain better understanding of the longitudinal modes and to find out how to suppress them, a model for the operation of FOPOs is introduced. This model utilizes the sinusoidal-input describing function (SIDF) as a quasi-linear approximation of the nonlinear dynamics of parametric amplification. Applying this model, the SIDF of the FOPO is derived, which predicts that the origin of the longitudinal modes is the presence of the cavity round-trip delay term in the characteristic equation (the denominator) of the transfer function. To eliminate the effect of the delay term, a modified Smith predictor control scheme has been applied to the FOPO cavity, and a control algorithm is developed. This algorithm has been numerically analyzed and experimentally implemented, where the results indicate drastic suppression of the longitudinal modes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it