400-to-800-MHz GaAs pHEMT-Based Wideband LNA for Radio-Astronomy Antenna-Array Feed
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Bibliographic record
Abstract
This letter presents the design of a two-stage 400-to-800-MHz GaAs pseudomorphic high-electron-mobility transistor wideband low-noise amplifier (LNA) to upgrade an aperture synthesis radio telescope. The first stage is based on an inductive-source-degenerated amplifier topology, uses a low voltage supply, and utilizes an intrinsic input-transistor gate-drain feedback to improve the LNA bandwidth and gain. The final stage, a common-source amplifier, provides 50-Ω match and increases the gain. Employing matching via intrinsic feedback and a low-voltage supply, the LNA exhibits gain (S <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> ) from 41.1 to 43.3 dB, a minimum input-referred 1-dB compression point of -32.8 dBm, and a noise figure from 0.26 to 0.34 dB over the 400-to-800-MHz band. A future antennaarray feed with such LNAs is expected to exhibit 18.8-26.3 K beam-referred noise temperatures. The LNA consumes 406 mW from a 1.4-V supply.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 it