MétaCan
Menu
Back to cohort
Record W1979958230 · doi:10.1117/12.839806

Experimental and theoretical characterization of multimode fiber Bragg grating external cavity lasers

2009· article· en· W1979958230 on OpenAlexaff
Qingyang Xu, Jianwei Mu, Chang‐Qing Xu, Xun Li

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFiber Bragg gratingOpticsMaterials scienceMulti-mode optical fiberLaserFiber laserSemiconductor laser theoryTunable laserWavelengthLasing thresholdGratingOptoelectronicsOptical fiberPhysics

Abstract

fetched live from OpenAlex

In this paper both statistic and dynamic behaviors of the multimode fiber Bragg grating external cavity lasers (MMFBG_ECL) have been studied experimentally, and simulated numerically by time domain traveling wave (TDTW) rate equations. Experimentally, multiple wavelength selection has been realized by offsetting the coupling between the laser diode (LD) and the MMFBG. Small signal modulation responses at these wavelengths have been measured and over 8 GHz modulation bandwidths have been demonstrated at several wavelengths. Numerically, the TDTW model has been employed to simulate the multiple wavelength lasing selection and L-I curves. Comparison between single mode fiber Bragg grating external cavity lasers (SMFBG-ECL) and MMFBG-ECL have been addressed. In addition, steady experiments and numerical simulated are made to verify our numerical model.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0020.000

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Fiber Optic SensorsFrench-language works237,207