Ariane 5-ME and Electric Propulsion: GEO Insertion Options
Bibliographic record
Abstract
Electric propulsion is now widely used on commercial satellites, and the prospects of allelectric satellites may be considered for future comsats where all propulsive duties are fulfilled by the electric propulsion subsystem, including orbit raising. In such a configuration, the full benefits of using higher specific impulse devices for the satellite onboard propulsion would be realized. These benefits may be expressed in terms of increased payload capability in geostationary orbit, but also in terms of increased satellite operational life or decreased launch costs, depending on market demands. This study examines the best match options between electric propulsion and a launch vehicle with frozen specification, with Ariane 5-ME taken as a reference example. Departure orbit options before the electric orbit raising to GEO are traded in order to realize the full potential of both the launch vehicle performance and electric propulsion. The selection of the best options is discussed, depending on the priority given to fast electric orbit raising and low radiation fluence versus improved dry mass capability to geostationary orbit.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".