All-optical pulse peak power stabilization and its impact in phase-OTDR vibration detection
Bibliographic record
Abstract
We present an all-optical technique for the stabilization of laser power using the nonlinear Kerr effect and experimentally demonstrate improvement of vibration recovery in direct-detection phase-sensitive optical time domain reflectometry (Φ-OTDR). A pulsed or continuous wave optical signal impressed with a sinusoidal modulation generates sidebands while experiencing self-phase modulation in a nonlinear medium which can be utilized to stabilize the peak power of the signal. By adjusting the peak power at the entrance of the Kerr medium, the signal created at the first order sideband exhibits reduced peak power fluctuations and can be extracted using a band-pass filter. Experimental results show that the generated pulses with stabilized peak power improve vibration detection in a Φ-OTDR with a direct-detection scheme. This technique can be combined with other performance enhancement techniques to allow for the detection of weak signals, and reduces the need of an optoelectronic-based power control loop on a fiber laser.
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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 | 0.001 |
| 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".