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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
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