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Record W2983607085 · doi:10.1109/mwp.2019.8892200

A Monolithically Integrated and Widely Tunable Silicon Photonic Microwave Photonic Filter

2019· article· en· W2983607085 on OpenAlexaff
Jiejun Zhang, Weifeng Zhang, Jianping Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMaterials scienceOptoelectronicsResonatorOptical ring resonatorsPhotonicsPassbandWidebandOptical filterFree spectral rangeSilicon photonicsPhase modulationPhotonic integrated circuitBandwidth (computing)Modulation (music)MicrowaveGratingOpticsBand-pass filterPhase noisePhysicsTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

A monolithically integrated and widely frequency-tunable silicon photonic microwave photonic filter (MPF) is reported. All components including a grating coupler, a wideband phase modulator, a high Q factor ring resonator and wideband a photodetector (PD) are monolithically integrated on a silicon photonic chip. The passband functionality is implemented by translating the spectral response of the ring resonator to the microwave domain based on phase modulation to intensity modulation conversion. The frequency tunability is implemented by tuning the wavelength of the optical carrier injected into the chip. The proposed MPF is fabricated and its performance is experimentally evaluated. The 3-dB bandwidth is measured to be 2.7 GHz and the frequency-tunable range is 12 GHz.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.948

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)0.0010.001

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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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