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Record W1970575431 · doi:10.1117/12.567525

Why do output pulses split in actively Q-switched fiber lasers?

2004· article· en· W1970575431 on OpenAlexaff
Yong Wang, Changqing Xu

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLaserQ-switchingFiber laserOpticsPulse (music)PhotonMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Q-switched rare-earth-doped single-mode fiber lasers attract much attention in many applications. It is well know that in actively Q-switched solid-stage lasers, single output pulses observed in experiments are in good agreement with analytical solutions and numerical simulations. However, in actively Q-switched fiber lasers, the output pulses break into several sub-pulses in Q-switched envelopes. These phenomena have been reported in various actively Q-switched fiber lasers under different cavity schemes, pump and fiber conditions. Since dynamic distributions and evolutions of photon density and inversions in the laser cavities have not been effectively measured at the initial stage of Q-switching, the mechanism of these phenomena has remained uncertain in past two decades. Since the understanding of the related mechanism is critical to the design and development of laser systems, some conjectures have been proposed in the literature, based on experimental observations and analyses. Unfortunately, without careful examinations on the pulse initiation and evolution processes, the mechanism has not been exactly explained. In this paper, by investigating the initiation and formation of split pulses in typical actively Q-switched fiber lasers, the mechanism is exactly illustrated for the first time to the best of our knowledge. It is related to the evolution processes of the injected perturbation, and determined by the rise time of switching and conditions of photon density and inversions in Q-switching processes. Furthermore, based on this principle, some solutions to realize single-pulse output are proposed in this paper, and the simulated results are compared with the experimental ones.

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 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 score0.266
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.215
Teacher spread0.204 · 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.

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
Published2004
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPhotonic Crystal and Fiber OpticsFrench-language works237,207