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Erbium-Doped All-Fiber Laser Based on AlPO<sub>4</sub> Silica Glass

2019· article· en· W2980566030 on OpenAlexaff
Marie-Pier Lord, Younès Messaddeq, Martin Bernier, Olivier Boily, Tommy Boilard, Geneviève Gariépy, Sacha Grelet, Lauris Talbot, Pascal Paradis, Nicolas Grégoire, Steeve Morency

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsYtterbiumErbiumMaterials scienceFiber laserDopingLaserQuenching (fluorescence)Laser diodeCore (optical fiber)OptoelectronicsSpectroscopyAnalytical Chemistry (journal)Optical fiberFiberDiodeOpticsFluorescenceChemistryOrganic chemistryPhysicsWavelength

Abstract

fetched live from OpenAlex

The 1.6 μm transition in Er <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3+</sup> ions can be useful for many applications, such as LIDAR, spectroscopy and laser cavity pumping. However, the small cross section of erbium and the occurring of concentration quenching are detrimental to the efficiency of this transition for direct-diode pumping near 976 nm [ 1]. A commonly used solution to increase pump absorption in erbium-doped silica fibers is to integrate ytterbium as codopant. Nonetheless, this method has the effect of raising the refraction index of the core as well as generating parasitic emission around 1 μm [2], In turn, some recent studies codoped ytterbium fiber core with AlPO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> glass structure in order to reduce the occurrence of ion quenching while preserving a low numerical aperture [3], To our knowledge, this method of doping has however never been demonstrated for an ytterbium-free erbium-doped fiber laser.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.004

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 head0.007
GPT teacher head0.189
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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