TALON Demonstration Correlator Architecture for Early SKA Array Assemblies
Bibliographic record
Abstract
The roll-out plan for Square Kilometer Array (Phase 1) (SKA1) Mid Frequency Telescope calls for five array assemblies which progressively integrate an increasing number of receptors and capabilities. The TALON Demonstration Correlator (TDC) is a small correlator / beamformer system to implement the first two array assemblies of the SKA1 Mid Frequency Telescope Correlator / Beamformer (Mid.CBF). The objective of the TDC design is to minimize the amount of hardware required for the early releases, while maximizing re-use of firmware and software across all array assemblies. The TDC is based on the TALON technology and Frequency Slice Architecture (FSA) developed by the National Research Council (NRC) of Canada for the Mid.CBF. The TDC can process input from up to 16 dual-polarized receptors and can simultaneously generate the full visibility sets for all the baselines and form a beam as required for precise timing of known pulsars, both for 800 MHz of observed bandwidth.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".