A permanent tethered observatory at Jupiter : dynamical analysis
Bibliographic record
Abstract
Outer planet exploration has always been handicapped by a scarcity of power. The traditional means for powering long-duration space vehicles, solar energy converted to electricity, becomes rapidly ineffective as one travels further from the Sun. Solar intensity diminishes with the square of the distance from the Sun, so that at Jupiter, the nearest of the outer planets and five times more distant from the Sun than the Earth, the solar intensity is only one twenty-fifth its value at Earth. For a mission to Jupiter any extra power will allow the use of instruments which normally cannot be deployed in space because they need too much energy. This is one of the reasons why the JIMO mission of NASA investigated the use of nuclear-powered craft. Electrodynamic tethers could be used in some missions as an interesting alternative to produce the required level of onboard energy. This paper describes the essential dynamical issues arising in the placement of a permanent Jupiter observatory located at one of its inner moonlets (Adrastea, Metis, Amalthea) and sustained by an electrodynamic tether working in the generator regime. The aim of the work is to analyze the dynamical problem posed by such a observatory and also the main aspects related with the orbital dynamics and attitude dynamics of such a Jupiter station. Without a doubt, one of the greatest challenges facing such a mission is the extreme Jupiter radiation environment. This is a serious constraint that can be considered as a significant challenge for current or near-term developing technologies.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".