Optical Design and Performance of the Odin UV/Visible Spectrograph and Infrared Imager Instrument
Bibliographic record
Abstract
Sweden's Odin international scientific small satellite is planned for launch into a sun synchronous low earth orbit in 1998. Odin's mission will be both astronomy and atmospheric science (aeronomy). Its principle aeronomy payload is a high performance, lightweight (12 kilograms) ultraviolet/visible imaging spectrograph and infrared imager, that will point at the limb of the earth's upper atmosphere and measure molecular species associated with ozone chemistry, detect aerosols and tomographically measure and map ozone. The Canadian Space Agency is funding this payload, which has the acronym "OSIRIS", and Routes Inc. is currently building the flight model. OSIRIS is effectively two optical instruments mounted in a common optical housing and supported by common electronics. The first instrument consists of three infrared telescopes, each with an Indium Gallium Arsenide (InGaAs) linear detector. The second part is a high precision imaging spectrograph with a wavelength range of 280 to 800 nanometers, which uses a UV-enhanced CCD. The imaging spectrograph uses compact reflective optics and an aspheric reflective ruled grating, and provides excellent spectral imaging performance and stray-light rejection. This paper first briefly describes the overall instrument and then describes the optical design and the Development Model optical and sky test performance results. This paper includes a brief description of how OSIRIS will obtain valuable new environmental information on the upper atmosphere, and the requirements this places on the instruments optical design.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".