Development of a Phased-Array feed Demonstrator for radio telescopes
Bibliographic record
Abstract
Future centimetre-wavelength radio telescopes will use low-noise phased arrays as feed antennas. Two key reasons for developing this technology is that it enables the radio telescope to have several simultaneous beams on the sky, increasing the speed of the instrument, and because it allows the properties of the feed to be optimised. However, to date only two experimental demonstrations of phased-array feeds on radio telescopes have been performed. We are in the planning stages of an array that will thoroughly demonstrate the capabilities of this technology. This engineering demonstrator will consist of an array of Vivaldi antennas feeding low-noise amplifiers. After amplification the signal will be down-converted and digitized. This data will be stored for off-line beamforming on desktop computers. From these data sets we will be able to demonstrate not only rudimentary beamforming, but also more sophisticated operations such as optimisation of the feed pattern and interference cancellation. Current plans and progress of this project will be reviewed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".