Improvement of Range and Sensitivity of the Direct Ion Wind Gyroscope
Bibliographic record
Abstract
The direct ion wind gyroscope is a sensor using an ion wind generator that detects Coriolis deflection by measuring electric current in the ion wind cathodes. By dividing the cathode into two separate electrodes and comparing the currents being collected in each, the overall angular velocity is measured. This iteration of the direct ion wind gyroscope features a loop back air channel and pin-to-parallel-plate electrode configuration, representing a significant advance over the pin-to-mesh in a closed cubic volume design. Improved simulation platform facilitated exploration and characterization of several geometric variations. Specifically, it was determined that adjusting key dimensions allows for the optimization of sensing range against sensing precision. The exploration of diverse geometric variations provides a pathway for continuing development, offering insights to refine and optimize for diverse applications. A prototype validated the simulation, demonstrating a sixfold extension in sensor range from 180°/s to an experimentally verified 1080°/s while doubling sensitivity. The simulation and experiment showed excellent agreement. In addition, significant improvement in power consumption was realized, lowering the ion wind power from 4 mW to$100~\boldsymbol {\mu }$W.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".