Optical trades for evolving a small arcsecond star tracker
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We present a series of system performance models for nanosatellite star trackers. Many Earth-observing missions rely on spacecraft body motion to track ground targets. These operational scenarios lead to requirements for arc-second-accuracy attitude estimates during body motion at rates of up to 1 deg/s. Achieving these performance targets with a small sensor presents a challenge. We develop models to predict sensor availability and accuracy in terms of a number of optical design parameters. Starting from the baseline optical design of the Sinclair Interplanetary ST-16, we explore strategies for improving the sensor accuracy. We highlight distinctive features of the trade-space relative to more conventional star tracker design. Our discussions include an overview of system-level trends and an analysis of promising point designs. Results from these trades are valuable for prioritizing further development.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 it