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Record W1990738755 · doi:10.1364/ol.34.000545

Programmable fiber-based picosecond optical pulse shaper using time-domain binary phase-only linear filtering

2009· article· en· W1990738755 on OpenAlexaff
Saju Thomas, Antonio Malacarne, Francesco Fresi, L. Potì, Antonella Bogoni, José Azaña

Bibliographic record

VenueOptics Letters · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsOpticsFiber Bragg gratingTime domainPulse shapingComputer sciencePicosecondBinary numberPulse (music)Femtosecond pulse shapingPulse generatorPhase modulationMaterials scienceUltrashort pulseOptical fiberPhysicsLaserTelecommunicationsJitterPhase noiseMathematics

Abstract

fetched live from OpenAlex

We demonstrate a fiber-based programmable arbitrary picosecond optical pulse shaper using binary phase-only linear filtering. The reconfigurable filtering operation is implemented in the time domain using an electro-optical phase modulator driven by a high-speed bit pattern generator. The required binary phase code is designed using a genetic algorithm. Precise matching between the predispersive and postdispersive media in the system is achieved by use of a single linearly chirped fiber Bragg grating subsequently operated from its two input ends. As a proof of concept, different pulse waveforms of practical interest are generated using this new pulse shaper.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
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 integrity0.0000.000
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 head0.014
GPT teacher head0.271
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 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

Citations26
Published2009
Admission routes1
Has abstractyes

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