Reliability issues in pump laser packaging
Bibliographic record
Abstract
It is anticipated that in the near future erbium doped fiber amplifiers (EDFA) will find their way into new optical networking concepts, ranging from WDM systems in the metro sector to loss-compensation in optical switching. In order to be viable, these applications demand a technology, which in comparison to traditional systems is more compact, less costly, and more readily integrated, yet offers comparable performance and reliability. These demands are probably most significant for the EDFA pump laser. Our contribution discusses general reliability issues in pump module packaging, with special emphasis on how they will likely be addressed in future designs. As an example of this emerging trend in pump laser packaging we will present some of the design concepts and the reliability performance of our recently introduced family of un-cooled 980 nm pump modules. For 980 nm pumps, the key target specifications defined by new applications may be summarised as follows: chip reliability < 500 FIT; target package reliability < 500 FIT; wavelength-stabilised output power 200 mW; roadmap to 300 mW; operating case temperature 0/spl deg/C to 70/spl deg/C; power consumption < 1 W; packaging technology opens path to sustainable cost reduction. We and other manufacturers have recognised that these requirements can only be addressed by a significant differentiation of conventional 980 nm module technology, notably the transition to cooler-less operation. Our design features an 8-pin ceramic (Al/sub 2/O/sub 3/) miniDIL housing and a near planar assembly technology. The rated output power of this product family is 200 mW.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".