Bibliographic record
Abstract
Short-range halo phasing orbits, which are a type of phasing orbit remaining around the halo orbit, are investigated in the Earth–moon system. The influence of the start and end points on the halo phasing problem is investigated by numerical computation. Under the limitation of the thrust engine, an optimization problem for two-impulse phasing orbits is proposed to achieve the maximum phase change. Numerical computations show that, for the given maximum possible impulsive burn, there exist four types of locally optimal preceding phasing orbits and four types of locally optimal receding phasing orbits. The results of the eight types of optimal phasing orbits are discussed in detail. The “leapfrogging” strategy, composed of several two-impulse phasing arcs, is proposed for phasing missions requiring a large phase difference. Furthermore, halo phasing orbits with continuous thrusts are constructed and investigated. By first using the backstepping method to transform impulsive maneuvers into continuous thrusts and then using the backstepping results as initial guesses, optimal continuous phasing orbits are further constructed.
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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) | 0.001 | 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".