Optical designs of compact multichannel and all-reflective system for infrared imaging
Bibliographic record
Abstract
In space infrared (IR) optics, to achieve better observation of ground target, a common aperture all-reflective telescope, working at fast focal-ratio with multi-channel to cover different waveband and wide field-of-view (FOV), is a most wanted optical system. The remarkable imaging properties of the fast focal-ratio, flat-field, anastigmatic, rotationally symmetric Schwarzschild telescope have been well recognized historically, but suffer strong central obscuration and limited FOV in the conventional axis-symmetric design. Our solution is to use an eccentric system evolved from the Schwarzschild axially symmetric system, adding a tertiary off-axis mirror, to optimize the off-axis performance with the appropriate system parameters and specs, as required by most space IR optical systems. The optical design system consists of three powered mirrors, in which the primary (M1) is convex and secondary (M2) is either convex or concave, with a tertiary (M3) always in concave shape respectively. Both secondary and tertiary mirrors have their size larger than that of the primary. The entrance pupil of the system is projected behind M1. Dichroic filters can be used after the tertiary mirror to achieve separation of multi-spectral channels. In the designs the mirrors with optimized aspherical shapes, which are all in even-asphere warped up to 10th asphericities, are used for achieving the final image quality. The final corrected wavefront in the system can result in the good optical performance with an encircled energy of better than 80% per pixel for all channels, working at F/1.66 to correct a wide FOV up to 27.70 (H) x 48.70 (V). The design is scalable for different image scales, as usually required for different optical systems targeting different applications. The broad spectral range from mid-wave infrared (MWIR) up to Far IR can be fully covered by this design. Multiple focalplane- arrays (FPAs) can be used with respect to different spectral channels in the optical systems.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".