MétaCan
Menu
Back to cohort
Record W1568846265 · doi:10.1002/9781118684207.ch2

Optical Fiber Transmission

2014· other· en· W1568846265 on OpenAlex
M. Jamal Deen

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

Venuenot available
Typeother
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSingle-mode optical fiberOptical fiberOpticsDispersion (optics)Multi-mode optical fiberIntersymbol interferenceTransmission (telecommunications)Refractive indexPolarization mode dispersionRefractive index profileGraded-index fiberMaterials sciencePhysicsComputer scienceTelecommunicationsFiber optic sensorChannel (broadcasting)

Abstract

fetched live from OpenAlex

This chapter deals with light propagation in optical fibers. Multi-mode fibers (MMFs) and single-mode fibers (SMFs) are discussed using a ray-optics description. A rigorous solution of the wave equation is then derived, followed by a presentation of a wave-optics description of te single-mode and multi-mode fibers. Next, the chapter discusses pulse propagation in SMFs, and then makes a comparison between SMFs and MMFs. Finally, the chapter focuses on the design of SMFs. Using a step-index optical fiber, it is not possible to optimize all the parameters that are important for the design of a SMF. Therefore, the refractive index profile is chosen so that the design parameters are optimum for a specific application. For long-haul and/or high-bit-rate optical communication systems, the pulse broadening due to intramodal dispersion leads to intersymbol interference, which degrades transmission performance. The pulse broadening can be compensated using a dispersion-compensating fiber (DCF).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.107
Threshold uncertainty score0.997

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0190.004

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 head0.004
GPT teacher head0.187
Teacher spread0.182 · 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

Quick stats

Citations12
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicOptical Network TechnologiesFrench-language works237,207