CuRIOS-ED: the technology demonstrator for the CubeSats for rapid infrared and optical surveys mission
Bibliographic record
Abstract
To address the need for surveys with high-cadence, large area, and long time baselines to study the transient universe, we intend to launch CuRIOS (CubeSats for Rapid Infrared and Optical Surveys), a constellation of several hundred 16U CubeSats that will provide all-sky, all-the-time observations to a depth of 21 Vega magnitudes in the optical bandpass. A CuRIOS technology demonstrator, known as the CuRIOS-Exploration Demo (CuRIOS-ED), is slated to launch in 2025 as part of the 12U payload. CuRIOS-ED will be used to space-qualify a commercial camera package—the Atik apx60 with Sony IMX455 CMOS detector—for use on the full CuRIOS payload. In this presentation, we discuss the CuRIOS-ED mission design with an emphasis on the disassembly, repackaging, and testing of the Atik apx60 for space-based. The testing results will include characterization of the IMX455 detector and Atik electronics performance, as well as preliminary environmental testing results.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.013 |
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".