Ultraviolet Imager (UVI) for the SMILE Mission
Bibliographic record
Abstract
The Ultraviolet Imager (UVI) is one of the four instruments onboard the Solar wind Magnetosphere Ionosphere Link Explorer (SMILE) satellite, a collaborative science mission between the Chinese Academy of Sciences (CAS) and the European Space Agency (ESA). The UVI will capture the terrestrial auroral images that depict the energy depositions in the solar wind-magnetosphere coupling system. The primary function of UVI is to image the entire auroral oval at characteristic wavelengths while effectively mitigating contamination from dayglow, achieving a spatial resolution of approximately 100 km or better. The co-axis four-mirror all-reflective optical system provides a circular field of view of 9.97°, enabling coverage of the entire polar region when the spacecraft’s geocentric distance exceeds 50,000 km. This capability allows UVI to continuously monitor the complete auroral oval for over 40 hours. UVI operates in the long wavelength range of the N 2 Lyman-Birge-Hopfield (LBH) band, specifically between 160–180 nm. To achieve the required spectral response and significantly reject out-of-band stray light, multilayer coatings are applied to its mirrors. The detector utilized is an intensified charge-coupled device (ICCD), with photons emitted from the phosphor being coupled through a relay lens to the ICCD. By default, the CCD captures one frame (512 × 512 pixels) every two seconds; thus, thirty frames per minute are coadded to produce a single UVI image. This processing can be performed in orbit or on ground to compensate the possible satellite jitters. The detailed geometric and photometric calibration procedures for UVI are elaborated upon in the paper.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".