Development of Flight Model of the Langmuir Probe of Ionospheric Anomaly Monitoring by Magnetometer and Plasma-probe (IAMMAP) for the Compact Advanced Satellite 500-3 (CAS500-3)
Bibliographic record
Abstract
This paper investigates the development, validation, and testing of the flight model (FM) of the Langmuir probe (LP) for ionospheric anomaly monitoring by magnetometer and plasma-probe (IAMMAP), a scientific instrument abroad the Compact Advanced Satellite 500-3 (CAS500-3). IAMMAP is designed to measure ionospheric plasma and magnetic field variations at an altitude of approximately 600 km, focusing on the correlation between the equatorial electro-jet (EEJ) and equatorial ionization anomaly (EIA). The FM of the Langmuir probe has been developed following the successful qualification of the engineering qualification model (EQM), with improvements made in several areas, including the replacement of the micro-controller unit (MCU) with space-grade components resistant to radiation and temperature extremes, and the application of the LP operation scenarios. After the functional tests, environmental tests will be performed to verify compliance with FM requirements for satellite operation. The IAMMAP-included LP will contribute to understanding ionospheric anomalies and provide valuable insights for satellite operations in the near-Earth space environment.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".