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Record W2171508677 · doi:10.1109/jlt.2009.2025247

Characterization of All-Optical Clock Recovery for 40 Gb/s RZ-OOK and RZ-DPSK Data Using Mode-Locked Semiconductor Lasers

2009· article· en· W2171508677 on OpenAlex
Xuefeng Tang, Frédéric van Dijk, John C. Cartledge, Alexandre Shen, Akram Akrout, Guang–Hua Duan

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

VenueJournal of Lightwave Technology · 2009
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsQueen's University
Fundersnot available
KeywordsLaser linewidthDistributed Bragg reflector laserJitterSemiconductor laser theoryLaserOpticsKeyingClock recoveryQuantum wellPhysicsOptoelectronicsClock signalMaterials scienceTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

We investigate the characteristics of all-optical clock recovery for return-to-zero differential phase-shift keying (RZ-DPSK) and return-to-zero on-off keying (RZ-OOK) signals at 40 Gb/s using mode-locked semiconductor lasers. Two mode-locked lasers with different configurations, a bulk active layer distributed Bragg reflector laser and a quantum-dot active layer Fabry-Perot laser, are used in the experimental investigation. The results reveal the implications of the input signal power, beat spectrum linewidth of the mode-locked laser, and intensity modulation on the jitter characteristics of the recovered clock signal.

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 categoriesnone
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 score0.045
Threshold uncertainty score0.715

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 head0.033
GPT teacher head0.278
Teacher spread0.244 · 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