Freeform based lateral-shift compact zoom system: theory and computer simulations
Bibliographic record
Abstract
A compact zoom system originating from a generalized form of the Alvarez-Lohmann (AL) varifocal lens concept is developed and discussed here in terms of its potential future applications in infrared imagers. Design methodology based on the use of different polynomial representations of corresponding freeform surfaces is also briefly outlined. In particular, a targeted polynomial technique, which can reduce the dimensionality of the optimization task, is put forward. Silicon-based AL zoom solution is found especially attractive: it can work in both in MWIR band and quasimonochromatic SWIR channel. Complex freeform surfaces can be generated in Silicon substrates by using dedicated SPDT processes. As a design example, a 3x MWIR/SWIR afocal Galilean freeform zoom is presented which covers a FOV range from 7.4° to 22.5° and offers close to diffraction limited performance.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".