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Record W4399854976 · doi:10.1117/12.3021965

Raman scattering and supercontinuum generation in high-index doped silica chip waveguides

2024· article· en· W4399854976 on OpenAlexaff
charbel khallouf, Van Thuy Hoang, G. Fanjoux, Brent E. Little, Sait Chu, David Moss, Roberto Morandotti, John M. Dudley, Benjamin Wetzel, Thibaut Sylvestre

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersHORIZON EUROPE Framework ProgrammeAgence Nationale de la RechercheEuropean Commission
KeywordsSupercontinuumMaterials scienceRaman spectroscopyRaman scatteringOpticsFemtosecondOptoelectronicsWavelengthPolarization (electrochemistry)WaveguidePhotonic-crystal fiberLaserPhysicsChemistry

Abstract

fetched live from OpenAlex

We present a comprehensive investigation of Raman scattering (RS) and supercontinuum (SC) generation in high-index doped silica glass integrated optical waveguides under diverse femtosecond pumping wavelengths and input polarization states. We first report the observation based on a confocal Raman microscope of new Raman peaks different from fused silica at 48 THz and 75 THz, respectively. We then demonstrate broadband supercontinuum generation from 700 nm to 2500 nm when pumping into the anomalous dispersion regime at 1200 nm, 1300 nm, and 1550 nm, respectively. Conversely, narrower SC spectra were generated when pumping in the normal dispersion regime at 1000 nm of self-phase modulation and optical wave breakup. A good agreement is found with numerical simulations of a nonlinear Schrödinger equation including the new Raman response. We also study the impact of the TE/TM polarization modes of the integrated waveguide on SC generation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.370

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)0.0000.000

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 head0.243
Teacher spread0.232 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

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