Visualization and Manipulation of Terahertz Light in the Near-Field
Bibliographic record
Abstract
Plasmonics is part of the fascinating field of nanophotonics, which explores how electromagnetic fields can be confined over dimensions smaller than the wavelength. Given that THz waves may be generated and detected using ultra-short laser pulses, i.e. femtosecond (fs) laser, coherent time-domain THz measurement enable direct reading of the amplitude and phase information of the electric field. Combined with this capability, exploring the electromagnetic interactions of THz waves below diffraction limit is a powerful tool to understand the plasmonic nature of light at the metal/insulator interface. Here, we summarize on the recent advances in THz microscopy based on 2-dimensional electro optic (EO) imaging using an intense THz pulse source. These recent achievements in optimizing the spatial resolution and acquisition time will drastically accelerate our comprehension of the subwavelength light-matter interactions at THz frequencies and enable, among others, new sensing applications. Our discussion will include demonstrations on field enhancement in metallic-based resonators and potential avenues using THz vortex beam.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".