Optical design of PANORAMIX-II, the OMM wide-field VIS-NIR camera
Bibliographic record
Abstract
In this paper, we present the optical design of the optical train of Panoramix-II, a wide-field VIS-NIR camera to be installed at the cassegrain focus of OMM (Observatoire du Mont Megnantic, Quebec, Canada). This camera is optimized for g (0.41-0.55), r (0.556-0.689), i (0.693-0.867) and z (0.851-0.95) operating region and used a 2kX4k EEV detector. The sky will be imaged onto the focal plane at an optical speed of F/2.35 yielding an image scale of 0.75 arcsecond per 13.5 μm pixel. The design image quality is 0.75 arcsecond 50% diffraction encircled energy over the central 27 arcmin field and no images worse than 0.85 arcsecond over the 55 arcminute diameter camera field. The optical design distortion at the corners is less than 0.08%. The Panoramix-II camera have a set of filters is used at the internal pupil. The image of the pupil is sufficiently sharp to limit the filter size. We discuss the principle characteristics of the imager, the specifications, the optical design, the performances, a ghost study and finally a tolerance anlaysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".