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Record W2142204950 · doi:10.1364/josab.25.001322

High-power long-period-grating-assisted erbium-doped fiber amplifier

2008· article· en· W2142204950 on OpenAlexaff
Galina Nemova, Raman Kashyap

Bibliographic record

VenueJournal of the Optical Society of America B · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceCladding modeCladding (metalworking)OpticsOptoelectronicsFiber laserFiber Bragg gratingPolarization-maintaining optical fiberDispersion-shifted fiberAmplifierDouble-clad fiberPlastic-clad silica fiberFiber optic sensorWavelengthFiberPhysicsComposite material

Abstract

fetched live from OpenAlex

We present a new theoretical scheme for a high-power Er3+-doped fiber amplifier assisted with a long period grating (LPG). This cladding-pumped amplifier is predicted to generate up to ~2.25 kW of continuous-wave output power at 1531 nm with a power conversion efficiency of ~0.83. This device consists of an Er3+-doped cladding and an undoped core pumped with a high-power laser at a wavelength of 1480 nm. The LPG imprinted in the fiber core transfers a weak input signal propagating in the core mode of a single-mode fiber into a predetermined cladding mode, dramatically increasing the effective mode-area of the signal and the threshold powers for unwanted nonlinear effects such as stimulated Raman and Brillouin scattering. Depending on the choice of the cladding mode used for amplification, a second LPG imprinted at the end of the Er3+-doped fiber may be used to transfer the amplified signal into a large core output fiber with high efficiency, providing a high-quality output beam in a fundamental mode.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.653

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.225
Teacher spread0.214 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations9
Published2008
Admission routes1
Has abstractyes

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Same venueJournal of the Optical Society of America BSame topicAdvanced Fiber Optic SensorsFrench-language works237,207