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Record W2085819106 · doi:10.1109/jstqe.2011.2130514

Detailed Analysis of All-Optical Clock Recovery at 10 Gb/s Based on a Fiber Optical Parametric Oscillator

2011· article· en· W2085819106 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 · 2011
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsJitterExtinction ratioDuty cycleClock recoveryClock signalOpticsPhysicsBandwidth (computing)WavelengthPower (physics)Computer scienceTelecommunications

Abstract

fetched live from OpenAlex

We demonstrate all-optical clock recovery of input return-to-zero ON-OFF-keyed signals operating at 10 Gb/s using a fiber optical parametric oscillator (FOPO). We first characterize an actively mode-locked FOPO, which serves as the basis for all-optical clock recovery. 12.5-ps pulses with a timing jitter of around 450 fs are generated. Afterward, the characteristics of the recovered clock (timing jitter, pulsewidth, and time-bandwidth product) are investigated as a function of the duty cycle, average power, extinction ratio, and optical signal to noise ratio (OSNR) of the input signal. The wavelength tunability of the recovered clock is also investigated. The results show that the FOPO can recover a good quality clock over a large range of input signal characteristics, namely, duty cycle from 33% to 60%, average input power from -23 to 6 dBm, extinction ratio above 8.7 dB, and an OSNR larger than 27 dB. The wavelength of the recovered clock signal can be tunable over 8 nm.

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 categoriesMeta-epidemiology (narrow)
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 score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.230
Teacher spread0.211 · 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