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Record W4407245420 · doi:10.1117/12.3043821

Optimization of wideband multimode circulators for improved multimode fiber-based sensing

2025· article· en· W4407245420 on OpenAlexaff
Audrey Laurence, Joseph Lamarre, Lucas Majeau, Kathy Beaudette

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMulti-mode optical fiberCirculatorWidebandOptical circulatorComputer scienceFiberElectronic engineeringMaterials scienceOptical fiberTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Optical systems for fluorescence or spectroscopy may employ fiber optic couplers to improve the system’s robustness and sensitivity. Common limitations of multimode fiber optic couplers include back-reflections occurring at the fiber-air interfaces and auto-fluorescence, causing background noise. We present different strategies to reduce noise contribution in a Wideband Multimode Circulator (WMC) by implementing connectors with reduced back-reflections, using high-angle polishing (reduction of 21 dB) or anti-reflective coating (reduction of 16 dB), and testing a low autofluorescence packaging (reduction of 4.2 dB). These improved features allow for increased SNR.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score0.368

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2025
Admission routes1
Has abstractyes

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