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Record W2377033487

Effect of laser noise on the precision of fiber Bragg grating demodulation

2009· article· en· W2377033487 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

VenueLaser & Infrared · 2009
Typearticle
Languageen
FieldEngineering
TopicOptical Systems and Laser Technology
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsFiber Bragg gratingOpticsDemodulationNoise (video)Blazed gratingGratingLaserRelative intensity noiseOptical fiberMaterials sciencePhysicsComputer scienceTelecommunicationsDiffraction gratingSemiconductor laser theory
DOInot available

Abstract

fetched live from OpenAlex

The theory of coupling model was used to analyze the transmission properties of fiber grating,and matrix method was introduced to simulate the value of the reflection spectrum of uniformity fiber grating.The origin of noise in optical detection was analyzed,and the noise level of laser used in lab was evaluated and validated.By putting different power noise on lamp-house,the influence caused by lamp-house noise on detection of peak value was researched according to the refection spectrum of fiber grating.It was experimented that the demodulation precision of fiber grating was infected greatly by power noise of laser,and the higher the precision of wavelength detected was,the smaller the level of noise should be.When the demodulation precision reached the level of picometer,noise of laser should achieve the high-point of quantum noise.This paper provides theory foundation for the application and research on fiber grating technology used in high precision detecting of weapon equipments.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.318

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 head0.005
GPT teacher head0.212
Teacher spread0.207 · 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