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Record W4392080570 · doi:10.1109/tthz.2024.3368653

Real-Time Rapid-Scanning Time-Domain Terahertz Radiation Registration System With Single-Digit Femtosecond Delay-Axis Precision

2024· article· en· W4392080570 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

VenueIEEE Transactions on Terahertz Science and Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTerahertz radiationExciterOpticsTime domainElectric fieldPicosecondPhysicsComputer scienceLaserAcoustics

Abstract

fetched live from OpenAlex

We demonstrate a real-time terahertz time-domain electric field registration system, with the system utilizing a permanent-magnet electrodynamic exciter (mini-shaker) with its movement being resolved via an interferometric tracking method. This system is used to record a terahertz electric field, with the signal being encompassed within a scan range of several picoseconds and the system being capable of realizing a single-digit femtosecond precision in the delay axis. The real-time rapid-scan system is shown to exhibit a 47 dB signal dynamic range for a THz electric field measurement consisting of the average of 300 scans. Measured THz signals show excellent agreement with the traditional step-scan system. As the developed system permits real-time monitoring of terahertz electric fields (along with a higher delay-axis precision) compared to traditional step-scan terahertz time-domain spectroscopy), we envision this system being used for critical applications such as environmental gas detection, security checks, radar monitoring, and among others.

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 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 score0.688
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
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.006
GPT teacher head0.203
Teacher spread0.198 · 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