A Cryo-CMOS Low-Noise Amplifier With 2.3-to-8.5-K Noise Temperature at 20 K for Highly Integrated Radio-Astronomy Receivers
Bibliographic record
Abstract
This letter presents a 0.9–1.8-GHz cryo-CMOS low-noise amplifier (LNA) built-in standard 65-nm CMOS for highly integrated radio astronomy receivers. The measured cryogenic noise parameters confirm noise matching in the band and demonstrate that the LNA nears its minimum noise temperature at the desired frequency range. The proposed LNA operates at 20 K, consumes 115 mW of power, and provides a 37.2 ± 2.4 dB gain ($S_{21}$) with a noise temperature (figure) of 2.3 to 8.5 K (0.03 to 0.13 dB) and$| S_{11}| < -10$dB.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".