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Record W4207028724 · doi:10.1109/gfp51802.2021.9673922

Silicon nitride on-chip spatial heterodyne Fourier-transform spectrometer with high étendue and broadband operation

2021· article· en· W4207028724 on OpenAlexaff
David González‐Andrade, Thi Thuy Duong Dinh, Sylvain Guerber, Nathalie Vulliet, S. Crémer, S. Monfray, Éric Cassan, Delphine Marris‐Morini, F. Bœuf, Pavel Cheben, Laurent Vivien, Aitor V. Velasco, Carlos Alonso‐Ramos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsNational Research Council CanadaUniversity of Ottawa
FundersEuropean Research CouncilAgence Nationale de la RechercheEuropean Commission
KeywordsHeterodyne (poetry)BroadbandSpectrometerPhotonicsFourier transformMaterials scienceOpticsSilicon nitrideOptoelectronicsMiniaturizationChipRealization (probability)Fourier transform spectroscopySiliconFourier transform infrared spectroscopyComputer sciencePhysicsTelecommunicationsNanotechnology

Abstract

fetched live from OpenAlex

The miniaturization provided by silicon photonics offers tantalizing prospects for the realization of high- performance optical spectrometers in extremely compact and robust form factors. Here we demonstrate a broadband silicon nitride spatial heterodyne Fourier-transform spectrometer chip implementing a large-surface multiaperture input to achieve a high étendue.

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 score0.001
Threshold uncertainty score0.004

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 communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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