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Record W2011710134 · doi:10.1117/12.451604

Phase linearity and uniformity in optoelectronic-VLSI receiver arrays

2002· article· en· W2011710134 on OpenAlexaff
Michael B. Venditti, Joshua D. Schwartz, David V. Plant

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsMcGill University
FundersArmy Research LaboratoryDefense Advanced Research Projects Agency
KeywordsSkewAmplifierElectronic engineeringComputer scienceVery-large-scale integrationOptical amplifierTransmitterChannel (broadcasting)PhysicsLaserOpticsTelecommunicationsEngineeringBandwidth (computing)

Abstract

fetched live from OpenAlex

Parallel synchronous digital links require tight control over inter-channel skew in order to obtain maximum performance. In parallel optical interconnects (POIs), inter-channel skew can arise from differences in optical and electrical path lengths as well as latency variations through transmitters and receivers. The receiver pre-amplifier is particularly susceptible to latency variation. In POI applications such as optoelectronic-VLSI, pre-amplifiers can exhibit variable latency and gain resulting from differences in optical power levels across the receiver array due to transmitter, laser, detector, or optical system non-uniformity. This establishes an input DC photocurrent and pre-amplifier operating point that varies across the array, resulting in gain and phase non-uniformity. We consider different receiver pre-amplifier designs and the susceptibility of their gain and phase delay uniformity to operating point variations. Feedback circuitry that stabilizes the pre-amplifier operating point is considered as a potentially robust approach for array-scale POI skew reduction. Optical ring oscillators are used to characterize the phase delay of different pre-amplifier designs by measuring the period of oscillation as a function of optical system power throughput.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.013
GPT teacher head0.227
Teacher spread0.213 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2002
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSemiconductor Lasers and Optical DevicesFrench-language works237,207