Designing High Reflectivity Omnidirectional Coating of Mirrors for Near Infrared Spectrum (700-2500 nm)
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Bibliographic record
Abstract
In this paper, a high reflection coating is designed depending on the variable of refractive indices for NIR spectral region (700-2500 nm) by the use of the computer program MATLAB version 7. We could find the reflective 99.62% for seven layers at the incident angels (90°, 40°) in the wavelength (1064 nm) for coatings (Si, MgF2), substrata BK7 (relatively hard borosilicate crown glass with high homogeneity), which is used for laser application such as the ND:YAG laser (1060 nm), and R=98.37% for coatings (SbSe, Na3AIF6) and substrata glass for eleven layers at ?=90° which covers the wavelength from (955.6 nm) to (1622 nm) and represents the complete range for optical telecommunication band (short (S) 1460-1530 nm, conventional (C) 1530-1560 nm and long (l)1560-1620 nm). The results show that the reflectivity of the stack increases with the number of layers in the stack, the best layer number is nine which has a reflective of 99.62% at (1060 nm), as shown in Figure 4a. Also the reflective changes with incident angel; the best angel is (40°) which gives the convergent reflective for electric and magnetic polarization 99.91% and 99.36%, respectively for the wavelength (1060 nm).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 it