Design of Radio Telescope Calibration Payload for a Nano-Satellite
Bibliographic record
Abstract
The continued study of the history and expansion of the universe using radio telescopes has prompted a project to observe baryon acoustic oscillations by capturing neutral hydrogen gas as redshifted 21-cm radiation. This project, named Canadian Hydrogen Intensity Mapping Experiment (CHIME), will consist of 2500 radio antennas arranged in rows within cylindrical reflectors based out of Penticton, BC, Canada. To assist in the phase calibration of CHIME's instruments, the UBC ORBIT student club participating in the Geocentrix Technologies' first annual Canadian Satellite Design Challenge, has proposed a project which will send a repeatable set of up-chirped pulses (450-800MHz) from a specialized antenna that serves as the payload to a nano-satellite. Several mechanical, electrical and operational challenges exist due to critical dimension constraints of a three unit cube sat, low cost budget, low power requirements, low frequencies and large range of frequencies being emitted by the payload. This paper presents an effective design for a payload for the phase calibration of CHIME based double element Planar Inverted Cone (diPICA) with oval cut-outs. Details about Canada's first nano-satellite competition, the Canadian Satellite Design Challenge, will also be provided.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".