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Record W4214944117 · doi:10.1080/09500340.2022.2042746

Design of 31 and 37 cores trench-assisted and air-hole assisted multi-core fibre for high-density space-division multiplexing

2022· article· en· W4214944117 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Modern Optics · 2022
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsOptiwave Systems (Canada)
FundersDelhi Technological University
KeywordsTrenchCore (optical fiber)Division (mathematics)Materials scienceMultiplexingSpace (punctuation)OptoelectronicsComputer scienceTelecommunicationsNanotechnologyComposite material

Abstract

fetched live from OpenAlex

In this paper, we have designed two multi-core fibres (MCFs) structures with 31 and 37 trench-assisted and air-hole-assisted cores with reduced inter-core crosstalk (XT). The air-hole pairs and triplets are placed between adjacent trench-assisted cores in order to further suppress modal field overlap. The XT analysis of the 31-core design underlines the significance of enclosing the outer cores with the air-hole structure. The effect of core pitch on the XT is also investigated. Placing the low-index air-hole shield closer to the trench enhances the modal confinement within relatively large trench-assisted core structures. As a result, the lowest possible core-pitch MCF (air-holes touching outer trench boundaries) yielded a minimum inter-core XT of between −60 dB and −70 dB for 100 km of fibre length. Therefore, our 37-core MCF design is suitable for high-density space-division multiplexing applications.

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.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.684

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 head0.050
GPT teacher head0.252
Teacher spread0.202 · 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