The SKA Mid SPFRx receiver/digitizer qualification model testing
Bibliographic record
Abstract
The Single Pixel Feed Receiver (SPFRx) has been developed for the SKA1-Mid dishes by the National Research Council (NRC) Canada in cooperation with the University of Bordeaux, France. The SPFRx takes preamplified SPF Radio Frequency (RF) signals in two polarities and converts the RF into digital samples. The RF conditioning component of RXS applies bandpass filtering, spectrum leveling, and variable gain amplification to prepare for sampling by Analog to Digital Converter (ADC) devices. The ADC-produced RF samples are processed by a digital processor based on a System-on-Chip Field Programmable Gate Array (SoC FPGA). The FPGA firmware assembles RF samples into network packets and streams the data from each Dish over a dedicated 100 Gigabit Ethernet link to the SKA Central Signal Processing (CSP) facility. In this paper, we outline the design of SPFRx hardware, firmware, and software and present the test results for SPFRxB123 Qualification Model, a pre-production SPFRx for SKA MID bands 1, 2, and 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".