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Enhanced Terahertz Detection Efficiency via Grating-Assisted Noncollinear Electro-Optic Sampling

2019· article· en· W2975077000 on OpenAlexafffund
Alexei Halpin, Wei Cui, Aidan W. Schiff-Kearn, Kashif M. Awan, Ksenia Dolgaleva, Jean‐Michel Ménard

Bibliographic record

VenuePhysical Review Applied · 2019
Typearticle
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Research, Innovation and ScienceCanada Foundation for Innovation
KeywordsGratingTerahertz radiationOpticsMaterials scienceBroadbandOptical rectificationOptoelectronicsTerahertz spectroscopy and technologyPhase matchingBandwidth (computing)Nonlinear systemNonlinear opticsPhysicsLaserComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Efficient, broadband terahertz detection through electro-optic sampling is an enabling technology for numerous applications, including time-resolved spectroscopy of condensed matter systems and fundamental investigations of the quantum vacuum. The technique is inherently sensitive, but ultimately limited by the intrinsic optical properties of the known nonlinear crystals. In this study the authors imprint a phase grating on the surface of a nonlinear crystal, to define a noncollinear detection geometry inside the crystal. This surface grating allows improved phase-matching conditions, which lead to a doubling of detection bandwidth and efficiency.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.008
GPT teacher head0.255
Teacher spread0.248 · 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 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

Citations21
Published2019
Admission routes2
Has abstractyes

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