MétaCan
Menu
Back to cohort
Record W2069405517 · doi:10.1117/12.839770

Linewidth of high-power fiber lasers

2009· article· en· W2069405517 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

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsCorActive (Canada)
Fundersnot available
KeywordsLaser linewidthFiber laserLaserLaser power scalingInjection seederMaterials scienceOpticsFiber Bragg gratingTunable laserOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

In this work, we examine how the linewidth of high-power Yb-doped fiber lasers changes as a function of laser power. Four-wave mixing between the various longitudinal modes of the laser cavity tends to broaden the laser linewidth, while Bragg reflectors have a narrow bandwidth that limits the extent of this broadening. An analytical model taking into account these effects predicts that the laser linewidth scales as the square root of laser power, in agreement with numerical simulations [1]. This model has been previously validated with a low-power Er-doped fiber laser [1] and with Raman fiber lasers [2]. In this paper, we compare the measurements taken with Yb-doped fiber lasers at power levels ranging from a few watts to hundreds of watts with the model. The broadening of high-power fiber lasers deviate from the model. Experimental data show that the linewidth broadens as a power function (between 0.5 to 1) of the laser power. A simple modification of the model is proposed which fits all the experimental data.

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 categoriesMeta-epidemiology (narrow)
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 score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.206
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