Influences of photodarkening in highly doping ytterbium‐doped fiber on performance of fiber laser
Bibliographic record
Abstract
Abstract The influences of photodarkening in highly doping ytterbium‐doped fibers (YDFs) on the performance of fiber lasers were investigated in this study. The experimental results show that the threshold and the output power of the laser, respectively, increases and decreases over the pumping time, leading to the deterioration for the conversion efficiency of the laser. The deterioration is caused by the photodarkening of the YDF, which gives rise to additional loss for the YDF. This additional loss increases monotonically and irreversibly with the pump time. However, as the pumping time increases, the irreversible deteriorating process may be gradually fulfilled. The time needed for fulfilling this process depends on the length of the YDF and the pump used. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 1902–1904, 2006; Published online in Wiley InterScience (www.interscience.wiley.com(. DOI 10.1002/mop.21774
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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) | 0.000 | 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".