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Record W2105680807 · doi:10.1002/mop.24145

Wavelength tuning using an arrayed waveguide gratings demultiplexer

2009· article· en· W2105680807 on OpenAlexafffund
Gaozhi Xiao, Nezih Mrad, Zhiyi Zhang

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2009
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsDepartment of National DefenceNational Research Council CanadaInstitute for Microstructural Sciences
FundersMinistère de la Défense Nationale
KeywordsDemultiplexerArrayed waveguide gratingOpticsWavelengthMicrowaveMaterials scienceWaveguideWavelength-division multiplexingOptoelectronicsPhysicsElectronic engineeringMultiplexerComputer scienceMultiplexingEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Abstract A novel wavelength tuning method using a specially designed arrayed waveguide gratings (AWG) demultiplexer was demonstrated. It was found that the transmission wavelengths of the AWG channels change linearly with the scanning of the input fiber along the facet of the input coupler of the AWG device. Initial results showed that more than 35 nm tuning range can be achieved at resolution of picometer. Optical spectra measurement using this novel wavelength tuning method is also reported. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 693–696, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24145

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 score0.446
Threshold uncertainty score0.974

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 head0.012
GPT teacher head0.225
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.

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

Citations2
Published2009
Admission routes2
Has abstractyes

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