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Record W4312614421 · doi:10.1109/pn56061.2022.9908379

Double-pulse Model for the Study of Red-shifted Spectrum in Multi-frequency Raman Generation

2022· article· en· W4312614421 on OpenAlexaff
Zujun Xu, Zhiyu Jin, D. Strickland

Bibliographic record

Venue2022 Photonics North (PN) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum optics and atomic interactions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRaman scatteringSpectrogramRaman spectroscopyPulse (music)Transient (computer programming)OpticsPhysicsUltrashort pulseCoherent anti-Stokes Raman spectroscopySum-frequency generationPhotonComputational physicsNonlinear opticsLaserComputer science

Abstract

fetched live from OpenAlex

Pumped by two frequency chirped pulses in the transient regime, the anti-Stokes orders from multi-frequency Raman Generation are spectrally broadened on the lower frequency side, causing each of the orders to have a broader spectrum with double-peak pattern. In this letter, a double-pulse model is introduced to analyze the measured spectrograms. We think the red-shifted spectrum comes from the linear Raman scattering between manifolds in the two-photon dressed states.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.560

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 head0.046
GPT teacher head0.291
Teacher spread0.245 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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