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Record W4302986266 · doi:10.1117/12.2629137

Wideband cryogenic LNA design for the ngVLA band-1 receiver

2022· article· en· W4302986266 on OpenAlexaff
Nianhua Jiang, L. B. G. Knee, Dominic Garcia, Pat Niranjanan, Ivan Wevers

Bibliographic record

VenueMillimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XI · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsWidebandTelecommunicationsElectronic engineeringComputer scienceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

The next-generation Very Large Array (ngVLA) front end incorporates six dual-polarization receivers covering the frequency range from 1.2 to 116 GHz. The ngVLA Band-1 receiver covers a frequency range of 1.2 to 3.5 GHz. This wideband requirement presents a challenge for the extremely low noise design for the required cryogenic low noise amplifier (LNA). GaAs HEMT technology is very reliable at a gate length of 150 nm and that gate feature size is suitable for low noise amplifiers up to the microwave frequency range. Below 3 GHz, the transistor gate has a very large capacitive impedance, exhibiting like an open circuit, which requires large values of inductors for 50 Ω impedance and low noise matching. The hybrid circuit configuration allows the design to select high-Q discrete inductors and capacitors with large values to minimize loss/noise from passive components. A two-stage single-ended GaAs HEMT LNA was designed based on the hybrid configuration. A prototype ngVLA Band-1 LNA was assembled and fully tested at a physical temperature 12 K. This newly designed GaAs HEMT LNA achieved 1.6 K average noise temperature and 34 dB average high gain between 1.2 and 3.5 GHz, the total power consumption is about 10 mW, which can meet the current requirements of the ngVLA Band-1 receiver.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.206
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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