Rigorous Analysis of Superconducting Multilayer Optical Waveguides
Bibliographic record
Abstract
In this paper, we present the transfer matrix method (TMM) as a general formulation to find the TE and TM dispersion equations of general multilayer structures consisting superconductors, semiconductors and dielectrics. We then introduce Cauchy integration method (CIM) as an efficient and general numerical method in order to solve the previously found dispersion equations. In the next step we apply both TMM and CIM to a superconductor-dielectric-superconductor multilayer structure consisting of YBCO thin films grown on the glass substrate. In this example we will find the optical propagation characteristics of the waveguide such as the propagation and attenuation constants and power distribution of the optical signal through out the structure as a function of the substrate thickness for several thicknesses of the superconducting layers. We briefly show that how these results can be employed in the design of the optoelectronic devices such as traveling-wave superconducting photodetectors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".