OPSys: optical payload systems facility
Bibliographic record
Abstract
The Turin Astronomical Observatory recently completed construction in Altec, Turin, of, Italy, a new Optical Payload System (OPSys) facility for tests of contamination sensitive optical space flight instruments. The facility is specially tailored for tests on solar instruments like coronagraphs. The test facility includes a clean room for instrument assembly and a relatively large (4.e+3 liters) optical test and calibration vacuum chamber. After vacuum conditioning, the chamber will hace an ultimate pressure of 1.e‐7 torr. The Space Optics Calibration Chamber (SPOCC) consists of a test section with a vacuum‐ compatible motorized optical bench, and of a pipeline section with a solar simulator at the opposite end of the optical bench hosting the instrumentation under tests. The solar simulator is an off‐axis parabolic mirror collimating the light from the source with the solar angular divergence. This presentation will describe the SPOCC's vacuum system and optical design, and the post‐flight stray‐light tests to be carried out on the Sounding‐rocket Experiment (SCORE). This sub‐orbital coronagraph is the prototype of the METIS coronagraph for the ESA Solar Orbital mission. Solar Orbiter closest perihelion is one‐third the Sun‐Earth distances. The plans will be illustrated for testing METIS simulating in SPOCC the coronagraph observing conditions from the Solar Orbiter perihelion.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.099 | 0.038 |
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".