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Record W1993396047 · doi:10.1049/ip-opt:20045034

Comparative study of mixed frequency-time-domain models of semiconductor laser optical amplifiers

2005· article· en· W1993396047 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

VenueIEE Proceedings - Optoelectronics · 2005
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSIGNAL (programming language)Noise (video)Phase noiseOptical amplifierContext (archaeology)AmplifierPhysicsTime domainOpticsFrequency domainAcousticsLaserElectronic engineeringComputer scienceOptoelectronicsEngineering

Abstract

fetched live from OpenAlex

A variety of mixed frequency-time-domain travelling wave models have been developed for the performance simulation of semiconductor laser optical amplifiers. One of the key differences among these models lies in their treatment of the phase of the interacting optical waves (signals and noises). Based on this criterion, the models are classified into the full-wave (phases of both signal and noise considered), the half-wave (only signal phase considered), and the full-power (all phases neglected) models. A systematic study on those models is carried out in the context of the signal-noise beating in optical amplifiers. It is found that only the full-wave model, which treats the beating between the signal and ASE noise in an incoherent manner, can provide the correct results, whereas the half-wave and the full-power models fail in cases where the interaction between the signal and ASE noise becomes significant.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.239
Teacher spread0.222 · 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