Flight Results from a Novel Magnetic Actuator on the LatinSat Spacecraft
Bibliographic record
Abstract
The LatinSat-A and –B spacecraft were launched into low Earth orbit in December of 2002. Built by SpaceQuest, these 11 kg microsatellites carry commercial UHF payloads. Their attitude control systems employ a novel magnetic actuator that can provide large torques while using very little power. At the core of the device is a rod of Alnico alloy, capable of storing a 13 Am2 magnetic dipole. Copper windings around this rod connect to a high-voltage pulse generator. High power pulses can degauss or permanently reverse the polarity of the magnet. A hall-effect sensor provides magnetic field telemetry to the flight computer, and allows for closed-loop control. Once the polarity of the rod is set, no additional power is required to maintain it. Previous SpaceQuest microsatellites have used permanent magnets in their ACS to align them with the Earth’s field. These spacecraft complete two pitch rotations per orbit, so that the side that faces the Earth over the northern hemisphere faces space over the southern hemisphere. The LatinSats can degauss and then reverse their magnets each time they pass over the magnetic equator. This should allow a single side to face the Earth at all times.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".