Canadian Surveillance of Space Concept Demonstrator: Photometric Variability of Molniya-Class Objects
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 presents the results of an analysis of the time dependence of relative visible magnitudes (“light curves”) of Molniya resident space objects (RSOs). The CCD image data were obtained in sidereal-stare mode, where the satellite is allowed to streak through a ‘stationary’ star field. Various streak extraction algorithms were coded, enabling generation and subsequent analysis of the along-track light-curves of RSOs. The algorithms were tested on virtual data, and then used to examine Molniya-class objects whose light-curves exhibit variability over the image exposure durations. Fourier analysis and other time-series comparisons were performed on archived observations made over periods ranging from a single night to more than a year. The oscillation periods appear stable over periods of up to 18 months; current data will be presented to illustrate the stability of these light curves over the past 6 years.
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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 | 0.001 |
| 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 it