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Record W2024434878 · doi:10.1364/ol.33.001279

Dynamic arbitrary waveform shaping in a continuous fiber

2008· article· en· W2024434878 on OpenAlexaff
Yu Yeung Ho, Li Qian

Bibliographic record

VenueOptics Letters · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOpticsWaveformFiber Bragg gratingAmplitudeBandwidth (computing)Polarization controllerPulse shapingOptical fiberMaterials sciencePhysicsFiber laserComputer scienceTelecommunicationsLaserVoltage

Abstract

fetched live from OpenAlex

We present a low-loss dynamic waveform shaping technique for high-repetition-rate signals by independent phase and amplitude control of spectral lines in a continuous fiber. Our system employs uniform fiber Bragg gratings to separate the spectral lines and provides independent amplitude and phase control for each line via an in-line polarization controller and an in-line fiber stretcher, respectively. Several distinct waveforms are experimentally demonstrated by manipulating five spectral lines with a spectral resolution of 0.12 nm and a temporal resolution of 17 ps. Better temporal resolution can be achieved by increasing the bandwidth through additional spectral lines.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.595

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 head0.012
GPT teacher head0.226
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 designObservational
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

Citations7
Published2008
Admission routes1
Has abstractyes

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