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Record W2133617639 · doi:10.1117/12.707724

Simulation of crosstalk in integrated distributed feedback laser-photodiode optical transceivers

2006· article· en· W2133617639 on OpenAlexafffund
Qingyang Xu, Xiaobin Hong, Wanguo Liang, Xun Li, Chang‐Qing Xu, Wei-Ping Huang

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsPhotodiodeExtinction ratioCrosstalkSemiconductor laser theoryDistributed feedback laserLaserOptical modulation amplitudeOptoelectronicsPhysicsTransceiverFrequency modulationOpticsMaterials scienceComputer scienceRadio frequencyTelecommunicationsOptical amplifierCMOS

Abstract

fetched live from OpenAlex

In this paper, modulation crosstalk from 1310nm Distributed Feedback laser (DFB) upstream signals to 1490nm downstream signals in the monolithic integrated DFB-PD (Distributed Feedback laser-Photodiode) optical transceiver structure was simulated by the time-domain traveling wave (TDTW) rate equations numerically. It was found that high differential gain coefficient at 1490nm can contribute to the modulation crosstalk at about -25 to -30 dB. It was also found that the modulation crosstalk is modulation frequency dependent which will be enhanced about 3 dB at the relaxation oscillation frequency compared with low modulation frequency. Increasing modulation extinction ratio of the 1310nm DFB section from 10 to 18 dB, the crosstalk increases 3 dB. Such a higher modulation crosstalk (larger than -30 dB) should be considered since such crosstalk will degrade strongly the sensitivity of the 1490nm photo-detector.

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 score0.482
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Optical Sensing TechnologiesFrench-language works237,207