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Record W4404563921 · doi:10.1364/oe.536872

Silicon ring resonator based optical phase shifter for higher order modulation formats

2024· article· en· W4404563921 on OpenAlexfundno aff
Ahmed Shariful Alam, Hao Sun, Jared C. Mikkelsen, José Azaña, Joyce K. S. Poon

Bibliographic record

VenueOptics Express · 2024
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOpticsResonatorPhase modulationPhase shift moduleModulation (music)Ring (chemistry)Materials scienceOptical communicationCross-phase modulationSiliconPhase (matter)OptoelectronicsPhysicsPhase noiseInsertion loss

Abstract

fetched live from OpenAlex

In this paper, we demonstrate a silicon-on-insulator (SOI)-based optical phase shifter that combines the through and drop ports of a silicon add-drop microring resonator (MRR) modulator. The measured intensity spectra for different bias voltages show that we achieve a 4.29 dB reduction in maximum intensity variation compared to the maximum intensity variation observed at the through port for a ∼2 π phase shift. We also recovered the phase spectrum by placing the optical phase shifter in one arm of an integrated Mach-Zehnder interferometer (MZI) structure. We achieved a full 2 π phase shift of a continuous wave (CW) optical signal with a maximum of ∼4.38 dB of intensity variation. Finally, we created the constellation map of an 8-ary phase-shift keying (8-PSK) data signal based on the recovered phase and the intensity at different forward bias voltages.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.017
GPT teacher head0.270
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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