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Record W2767381416 · doi:10.1364/optica.4.001416

Direct temporal shaping of terahertz light pulses

2017· article· en· W2767381416 on OpenAlex
Lauren Gingras, David G. Cooke

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

VenueOptica · 2017
Typearticle
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsTerahertz radiationPhysicsBroadbandOptoelectronicsWaveformOpticsPhotonicsTerahertz gapPulse shapingPulse (music)Terahertz metamaterialsLaserFar-infrared laser

Abstract

fetched live from OpenAlex

Active terahertz (THz) waveform synthesis is desirable for a broad range of applications including high speed wireless communications at Tb/s speeds and coherent manipulation of quantum systems driven by engineered light fields. In this work, we demonstrate an all-optical, fully reconfigurable platform for direct and arbitrary temporal shaping of broadband THz light pulses. The technique is based on an array of line photoexcitations of charge carriers within an otherwise homogeneous semiconductor embedded within a parallel plate waveguide. The spatially periodic charge distributions locally modulate the THz dielectric function, mapping each photoexcited line in the array directly to a reflected single-cycle THz pulse. By tuning the spatial distribution of the line excitations, arbitrarily shaped THz pulse sequences can be created from a single THz input pulse with relatively little intrinsic loss. We demonstrate synthesis of multi-cycle THz waveforms, 8-bit digital pulse sequences, and THz frequency combs with control over amplitude, central frequency, and linewidth.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.247

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 head0.018
GPT teacher head0.246
Teacher spread0.229 · 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