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Record W1536651820 · doi:10.1109/leos.2002.1159421

Reliability issues in pump laser packaging

2003· article· en· W1536651820 on OpenAlexaff
R. Bättig, H. Pfeiffer, N. Matuschek, B. Valk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsReliability (semiconductor)Wavelength-division multiplexingPackaging engineeringLaserComputer scienceReliability engineeringPower (physics)Electronic engineeringEngineeringMaterials scienceMechanical engineeringWavelengthOptoelectronicsOptics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.227
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2003
Admission routes1
Has abstractyes

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