Bibliographic record
Abstract
A rapidly tunable, electronically controlled, pulse duration adjustable, arbitrarily programmable wavelength, picosecond mode-locked fiber laser is presented. The laser is tunable over 80 nm with sweeping frequency over 10 million wavelengths per second. The user can select from a preset linear sweep in either wavelength or optical frequency (kspace) or a custom (user-defined) sweep. Pulse duration is adjustable over tens of picoseconds with nearly Fourier limited linewidth. The laser can be harmonically mode-locked over 1 GHz. The average power is again fully programmable and is at least 50 mW, Watt level is possible with a high power amplifier. The output is a single mode polarization maintaining fiber. The laser possesses several external triggers, such as one trigger per optical pulse, one delayed trigger per optical pulse to synchronize with the experiments, one at the beginning when the laser is ready to sweep to start the data acquisition and one for each consecutive sweep, and finally one trigger for each wavelength change. Such a laser is so versatile that it can be used for medical imaging, material machining and nonlinear optics. It proves also a valuable research tool since all the parameters are adjustable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".