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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".