The Large Adaptive Reflector Concept
Bibliographic record
Abstract
Cost effective, new antenna technology is required to build the large collecting area being planned for the next generation of radio telescopes. The Large Adaptive Reflector (LAR) is a novel concept being developed in Canada to meet this challenge. A prototype with a 200-350m diameter reflector, operating up to 2 GHz with a bandwidth of 750 MHz is planned. With a collecting area up to ∼ 10 % of the planned SKA, and an array feed capable of imaging a 0.3 deg 2 field-of-view, the prototype would address a number of the most compelling questions in modern astrophysics. Key words: The LAR is a concept for a large diameter, large f/D parabolic reflector that requires an air-borne platform to support the prime focus receiver system. The active reflector surface has a very flat profile, supported over a large area, to reduce significantly the cost per unit area compared to traditional designs. A large field-of-view across a wide bandwidth is attained through the use of a focal plane phased array (Dewdney et al. 2002; Carlson et al. 2000). 1.1 Tethered Aerostat System As the LAR reflector has a focal length of several hundred metres, the Focal Point Apparatus (FPA) needs to be supported by a “sky-crane”, for which we have chosen a heliumfilled aerostat (Fig. 1). The aerostat is attached to the FPA via a leash, isolating the FPA from balloon motions, and the position of the FPA is controlled by six computer-controlled winches. This system is being evaluated using a 1/3-scale prototype (Fig. 1) to verify a computer simulation of the system. Once verified, the computer model becomes an extremely powerful design tool for the full-scale system. Recent tests on the prototype reveal that this system can work down to a zenith angle of 60 ◦ , while maintaining the position of the FPA to within a few centimetres, adequate for the focus design we propose (Sec. 1.3).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".