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Record W2120043601 · doi:10.1364/ao.42.005906

Determination of the optimum cluster parameters in a clustered free-space optical interconnect

2003· article· en· W2120043601 on OpenAlexaff
Marc Châteauneuf, Andrew G. Kirk

Bibliographic record

VenueApplied Optics · 2003
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsMcGill UniversityDefence Research and Development Canada
Fundersnot available
KeywordsOpticsOptical interconnectInterconnectionFree spaceFree-space optical communicationMulti-mode optical fiberRelayMaterials scienceChannel (broadcasting)LaserLens (geology)PhysicsComputer scienceTelecommunicationsOptical fiber

Abstract

fetched live from OpenAlex

A model for a clustered free-space optical interconnect is developed and is used to determine the maximum array density that can be achieved, together with the optimal cluster parameters that maximize this density. This model includes misalignment tolerance and the impact of multimode vertical-cavity surface-emitting laser beams. We find that for short interconnect distances, the maximum channel density is limited by the speed of the relay lenses, but as the interconnect distance increases, geometric aberrations become the limiting factor. We also determine the interconnect distance below which a micro-channel relay is more suitable and the distance above which a single-lens solution is adequate.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.552

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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
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
Published2003
Admission routes1
Has abstractyes

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