All-fiber-based optical frequency generation from an Er-doped fiber femtosecond laser
Bibliographic record
Abstract
Generating precise optical frequencies with a functional power is necessary in many fields of science and technology. Here we demonstrate an all-fiber-based apparatus built to generate near-infrared frequencies directly from an Er-doped fiber femtosecond laser. In our apparatus, only a single resonance mode is extracted at a time on demand via a composite fiber filter comprised of a Fabry-Perot etalon with a Bragg grating. The extracted mode having weak 40 nW power is amplified to 20 mW by means of optical injection locking to a distributed-feedback laser diode under phase-stabilization control. The amplified final output signal yields a frequency stability of 2 parts in 10(15) at 10 s averaging with a narrow linewidth of less than 1 Hz. This apparatus is precise and immune to environmental disturbance, thereby being well suited to on-site near-infrared applications of frequency calibration, spectroscopy, and optical clocks.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".