Research of high-power multi-mode Er~(3+)/Yb~(3+) co-doped double-cladding optical fiber lasers
Bibliographic record
Abstract
In order to achieve much higher output power to satisfy the application requirements,the performances of erbium/ytterbium co-doped double-cladding fiber lasers(EY-DCFLs) are studied experimentally and theoretically.By using the EY805 model erbium/ytterbium co-doped multi-mode double-cladding fiber manufactured by INO,Canada as the gain medium,it is described that the output power is a function of the input pump power and fiber length.The maximum output power is about 3.5W by using a 1.8m fiber,with an optical to optical conversion efficiency of 31.8%.Numerical analysis of this EY-DCFL is also performed based on the rate and propagation equations.The calculated output powers of about 4.4W and conversion efficiency of 40% for the same fiber are a little larger than the experimental results.Then further optimization measures of the EY-DCFL are discussed,such as preparing of the fiber-end well,adding dichroic mirror at the output end and making fiber Bragg gratings directly in the fiber core.The above results are very important for the utilization and performance improvement of EY-DCFL.
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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 | 0.001 | 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 | 0.001 |
| 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".