Low-cost antireflection coatings for terahertz light employing multilayered polymer films and adhesives
Bibliographic record
Abstract
Antireflection coatings (ARCs) provide a powerful method to reduce reflective losses and eliminate spurious reflections that can limit experiments. At Terahertz (THz) frequencies, ARC options remain limited. To address this, we employ a combination of commercially available polymer adhesive tapes and films to create ARCs for THz light, that can be applied on a wide range of substrates. In addition to their ease of application, one coating can be removed from a substrate and a different one can be applied. Both narrow and wide band performance are achieved from different coatings, which can be tuned to a target frequency by altering the thickness of polymer layers. We have experimentally evaluated the efficacy of the layered structures in the bandwidth 0.25-2.25 THz using THz time domain spectroscopy. Taking the optical properties of each layer into account, we can model the response of ARCs in both frequency and time domains. These economic coatings can have vast applications where the attenuation of Fresnel loss or Fabry-Perot effect is desired.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".