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Record W4289538130 · doi:10.1109/jphot.2022.3195902

Numerical Study of Parabolic Pulse Generation in Backward-Pumped Erbium-Doped Fiber Amplifiers

2022· article· en· W4289538130 on OpenAlexaff
Ahmed M. Othman, Hussein E. Kotb, Mohamed A. Abdelalim, Yasser M. Sabry, Hanan Anis, Diaa Khalil

Bibliographic record

VenueIEEE photonics journal · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAmplifierOpticsErbiumPulse (music)PhysicsAmplified spontaneous emissionDispersion (optics)Fiber laserFiberErbium doped fiber amplifierMaterials scienceOptical amplifierOptical fiberOptoelectronicsLaser

Abstract

fetched live from OpenAlex

In this paper, the actual shape of the gain spectrum and the whole dispersion curve of the Er-doped fiber are employed in the vectorial coupled nonlinear Schrödinger equation to model the parabolic pulse (similariton) generation in the backward-pumped Er-doped fiber amplifier. The input of the amplifier is Gaussian pulses of a high repetition rate. The numerical model is developed to account for the combination of input and amplified spontaneous emission powers to consider the average of all prior iterations in the present interaction to reach a converged solution rather than oscillating between two solutions. The excess kurtosis factor identifies the parabolic pulse among other pulse shapes. The effect of the input pulse width, peak power, and polarization and the impact of the input pump power and the fiber length on the similariton generation are studied.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.283
Teacher spread0.257 · 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 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

Citations3
Published2022
Admission routes1
Has abstractyes

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