Wide chirp spectrum from FM oscillation fiber laser and its application in pulse generation
Bibliographic record
Abstract
A wide band FM light source is useful for many applications in the areas of communication, spectroscopy and sensing. Chirped light can be generated by modulating the laser output externally with a phase modulator. But the spectrum is usually not wide enough due to the modest modulation depth of available commercial modulator. A more efficient method is to perform phase modulation of light inside the laser cavity, which under certain cavity detuning conditions can perform deeper FM modulation through cavity mode coupling effect. The output spectrum is much wider than that obtained external modulation alone. In this paper, we show the theoretical and experimental result of a 40GHz FM oscillation fiber laser. The detuning frequency and single-pass modulation depth can affect the final spectrum width. The wide spectrum of 1.42THz around 1560nm is obtained in the experiment. By using single mode fiber as dispersion medium only, we can compress the constant intensity light with 1.42THz bandwidth to 821fs pulse. This laser appears to be of great interest for study of high-speed optical communication systems for the impairments and their impacts at wide frequency range. Or, its ultra-wide, chirp output with high sweep rate will be useful for rapid and extremely sensitive interferometric measurements.
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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 | 0.000 | 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".