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Record W3018402319 · doi:10.1364/oe.393538

High-speed performance of a TDFA-band micro-ring resonator modulator and detector

2020· article· en· W3018402319 on OpenAlexaff
David E. Hagan, Mengyuan Ye, Peng Wang, John C. Cartledge, Andrew P. Knights

Bibliographic record

VenueOptics Express · 2020
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsQueen's UniversityMcMaster University
Fundersnot available
KeywordsDetectorOpticsResonatorOptoelectronicsWavelengthModulation (music)PhysicsMaterials scienceElectro-optic modulatorAmplifierOptical modulatorPhase modulationCMOS

Abstract

fetched live from OpenAlex

We demonstrate a silicon-on-insulator micro-ring resonator (MRR) modulator and defect-mediated (DM) detector operating at a wavelength near 2 µm for use in the thulium doped fiber amplifier wavelength band. The MRR modulator was critically coupled with an unbiased notch-depth of 20 dB and Q -factor of 4700. The resonance shift under reverse bias was 23 pm/V with a calculated V π L π of 2.2 to 2.6 V·cm from -1 to -8 V, respectively. Simulations are in good agreement with the measured data. The experimental modulation bandwidth was 12.5 GHz, limited by the response of the commercial external detector used for this measurement. The DM detector was operated in avalanche mode, had 1.97 µm wavelength responsivities of 0.04 and 0.14 A/W, and had bandwidths greater than 16 and 7.5 GHz at -15 and -30 V biases, respectively. Large-signal measurement demonstrated open eye-diagrams at 5, 10, and 12.5 Gbps for the DM detector and also for an optical link consisting of the modulator and detector integrated on the same silicon chip.

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 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 score0.377
Threshold uncertainty score0.511

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 communication0.0000.000
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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2020
Admission routes1
Has abstractyes

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