A Thermal Anemometer for the Mars Meteorological Sensor Network
Bibliographic record
Abstract
Details of the design and simulation of a thermal micro anemometer intended for Mars meteorological measurements are presented. The device consists of a double sided anemometer formed on thermal isolation aerogel. Thermal input to the device is provided by a set of Pt hot films distributed evenly in an octagonal area of an AlN substrate. A thin film resistance-temperature detector (RTD) is coupled to the edge of each heater for temperature reading as the thermal distribution on the substrate changes with wind speed and direction. Finite element modeling of the device showed that the temperature gradient between the upstream and downstream RTDs increases with increasing distance from the hot film and decreases with increasing wind speed. Evaluation of the device transfer function suggested that it could be suited for measuring wind speeds of up to 60 m/s with a resolution in the order of 1 m/s. These characteristics are comparable with the requirements of past Mars missions. The configuration of the device allows also the evaluation of the out-of-plane component of wind speed and of the wind direction. It was found that quadratic fitting function based on the highest temperature readings of the distributed RTDs could be used to determine more accurately the wind direction.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".