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Record W2092794779 · doi:10.1364/ol.34.001156

Ultrafast photonic intensity integrator

2009· article· en· W2092794779 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOptics Letters · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWaveformOpticsUltrashort pulseIntegratorSuperposition principleIntensity (physics)Time delay and integrationPhotonicsPicosecondDispersion (optics)Modulation (music)Computer sciencePhysicsRadarTelecommunicationsAcousticsBandwidth (computing)Laser

Abstract

fetched live from OpenAlex

A method for ultrafast photonic time-intensity integration of an arbitrary temporal waveform is, for the first time to our knowledge, proposed and demonstrated. The introduced intensity-integration concept is based on the superposition of mutually incoherent, continuously-time-delayed replicas of the optical intensity waveform to be processed. This idea is practically implemented using optical intensity modulation of the input waveform with a rectangularlike incoherent energy spectrum distribution followed by linear dispersion. The key design specifications of the proposed integration scheme are derived and discussed. Proof-of-concept experiments are performed demonstrating accurate integration of several duration-limited microwave and optical intensity waveforms with time features from the picosecond to the subnanosecond range.

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.

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 score0.432
Threshold uncertainty score0.572

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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