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Record W2133838064 · doi:10.1109/jstqe.2003.818841

Extended robust semiconductor laser modeling for analog optical link simulations

2003· article· en· W2133838064 on OpenAlexaff
Samy Ghoniemy, Leonard MacEachern, S. Mahmoud

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2003
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsCarleton University
Fundersnot available
KeywordsSemiconductor laser theoryLaserSemiconductor optical gainLaser diodeLaser power scalingDiodeBandwidth (computing)Laser diode rate equationsDistributed feedback laserPhase noiseOptoelectronicsOpticsMaterials scienceElectronic engineeringComputer sciencePhysicsInjection seederEngineeringTelecommunications

Abstract

fetched live from OpenAlex

An enhanced semiconductor laser model incorporating gain nonlinearities, gain saturation, index nonlinearities, leakage current, thermal effects, and noise effects is presented. Symbolically defined devices based on the proposed models are implemented in the Hewlett-Packard Advanced Design System computer-aided design tool. The laser model enables the simulation of the transient and steady-state dynamic characteristics of laser diodes such as carrier, photon concentration, optical power, and phase. Using the proposed model, important laser characteristics such as relaxation-oscillation peak frequency and modulation bandwidth are evaluated under different conditions and compared to published measurement results. Analog optical transmission performance limitations such as laser diode nonlinearity and noise are determined in both the time and frequency domains.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.027
GPT teacher head0.256
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations28
Published2003
Admission routes1
Has abstractyes

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Same venueIEEE Journal of Selected Topics in Quantum ElectronicsSame topicSemiconductor Lasers and Optical DevicesFrench-language works237,207