The effect of dispersion on the bandwidth of distributed amplifier
Bibliographic record
Abstract
This paper presents a new GaAs P-HEMT distributed amplifier that employs a coplanar waveguide (CPW) as a transmission line taking into account the effect of CPW dispersion on the performance of the amplifier. It is shown that a wide-band amplifier can be designed if the effect of CPW dispersion is kept as minimum as possible. The CPW is first modeled with a pi-section and the parameters (capacitance and inductance) of this model were obtained using its S-parameters with ADS software. From the capacitance and inductance per unit length of CPW line, the length of CPW is calculated to provide required characteristic impedance of artificial transmission line for distributed amplifier. The method of moment (MOM) is used to analysis the dispersion of CPW line. By removing the substrate between the signal and ground metal which makes CPW inductive and less dispersive, a 20% bandwidth enhancement and 17% size reduction were achieved which are of great important for MMIC applications.
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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 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".