The BRITE Space Telescope: A Nanosatellite Constellation for High-Precision Photometry of the Brightest Stars
Bibliographic record
Abstract
The BRITE-Constellation is a group of Canadian/Austrian nanosatellites that will examine the apparently brightest stars in the sky for variability using precise differential photometry. The constellation consists of four low Earth-orbiting nanosatellites, divided into pairs, with each member of a pair having a different optical filter. Each BRITE satellite will observe a region of interest for up to 100 days or longer, allowing measurement of stellar variability on the order of hours to months. Each BRITE satellite utilizes a number of new, innovative technologies including reaction wheels, star tracker and optical telescope, all sized and designed around Space Flight Laboratory’s 5-kilogram, 20x20x20 cm CanX nanosatellite bus. The BRITE science instrument is a low power CMOS detector coupled with a lens system designed to provide a telecentric, slightly defocused image optimized for observing stellar intensity with an accuracy of 1 mmag per data point per orbit down to a visual magnitude of +3.5. Photometric measurements will have an error amplitude spectrum no greater than 20 ppm over measurement periods longer than a month. The optics will have a small (30 mm) aperture and a maximum length of 100 mm in order to fit within the nanosatellite bus.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".