Real-Time Rapid-Scanning Time-Domain Terahertz Radiation Registration System With Single-Digit Femtosecond Delay-Axis Precision
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".