Validating Microsatellite Star Tracker Baffle Tests
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
This paper discusses the historical challenges of atmospheric stray light testing for star trackers relevant to small research groups. We define optical system attenuation targets for a baffled star tracker system using a probabilistic analysis of false detection rates that is independent of a baffle design. Using our hybridized stray light analysis techniques, we obtain attenuation curves for the Sinclair Interplanetary ST-16 baffled star tracker, and we validate our analysis by performing stray light analysis on the baffle independently from the sensor. Solar exclusion angles are defined by combining the attenuation targets and the system attenuation curve, of which we explore in-depth by using ray tracing path information from Zemax OpticStudio 14. These techniques should prove invaluable for small research groups who do not have the financial means to expedite the stray light analysis of their star tracker system to a professional third party laboratory.
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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) | 0.000 | 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 it