PR-652-203801-R04 Magnetometer Noise and Resolution
Bibliographic record
Abstract
Magnetometers are sensors that measure the magnitude and direction of a magnetic field. There are many types of magnetometers available, but they all rely on electromagnetic principles to measure fields. The most common types are Hall effect, anisotropic magneto-resistive (AMR) and fluxgate sensors. The goal of this study is to investigate several magnetometers to evaluate their capability to detect small changes in an ambient field. These small changes are on the order of 10 milligauss (1 �T) and are caused by the inverse-magnetostrictive effect, or Villari effect, from ferromagnetic pipes. The chosen magnetometer must have a low noise signal and a fine resolution to properly measure the field from the inverse-magnetostrictive effect. To evaluate the chosen magnetometers, multiple sets of measurements were made in a stationary magnetic field and the standard deviation of the data sets were calculated. The noise of some sensors was further investigated to verify that it was normally distributed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.090 | 0.075 |
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".