Ultra-broadband quantum dot coherent comb lasers
Bibliographic record
Abstract
In this work, we have investigated self-injection locking effects on a full spectral system with selective single-channel injection and full-channel injection in a quantum dot mode-locked comb laser through an optical feedback loop. It has been noticed that self-injection locking can not only improve the performance of a single-channel laser system but also has a strong effect on the whole spectral behavior. In the case of single-channel self-injection, we investigated the effects under a locked regime above the injection-locking threshold P<sub>SIL</sub>. The locked lines were strongly enhanced with intensities high above the broad spectrum and also intensified even outside of the original spectral bandwidth. The typical feature is a big dip (or hole) appearing on the high-energy side of the lines if it is within the free-running spectral region. We have investigated this asymmetric phenomenon. It is considered that the locked modes are highly intensified at the expense of higher energy carriers excited by currents. The locking process transferred the energy from the lasing mode to the locked mode. For the full channel self-injection, the system was set under a controllable self-injection locking condition. A bandwidth enhancement phenomenon can be observed when injected power reaches the self-injection locking threshold PSIL, and the broadening gets stronger till to the locked regime. Finally, the original spectral bandwidth had been significantly broadened. This bandwidth broadening goes to both sides of the free-running spectrum and the broadening is remarkable.
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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".