Bibliographic record
Abstract
Several analytic methods are used to derive and discuss analytic expressions for electromagnetic wave fields in finite one-dimensional layered structures. A new modification is obtained for the so-called multiple reflection method. Special attention is given to layered periodic dielectric structures. The systematic dependence of the reflection coefficient on the parameters characterizing this type of structure is studied in detail, using the two-layered periodic dielectric structure as a typical example. A general method for the construction of the Green's function for finite one-dimensional layered structures is developed. The sum of the total Neumann (Born) series is calculated for sufficiently simple cases of perturbations in the profile of the refractive index. Using the Green's function, the influence of fluctuations of the width of the basic layers on the reflection and transmission of electromagnetic waves propagating through the two-layered periodic dielectric structure is investigated. The results are applied to the design of optical switching systems with periodic dielectric structures as the operating medium.Dept. of Physics. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2001 .M67. Source: Dissertation Abstracts International, Volume: 62-10, Section: B, page: 4599. Advisers: G. Drake; R. Maev. Thesis (Ph.D.)--University of Windsor (Canada), 2001.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".