A Magnetopause Model for Sizing Artificial Magnetospheres at Mars and Lagrange-1 Orbits
Bibliographic record
Abstract
Our prior work showed that a Martian equatorial surface or near subsurface high-temperature superconducting ring (HTS ring) could generate a global magnetic field that provides two main atmosphere-protecting phenomena: (1) to form a paraboloidal artificial magnetopause (MP) to act as a shield against solar wind particles, and (2) to act as a cage to sputtered and photoionized upper-atmospheric particles. Such HTS rings to hard-surface solar bodies, but not to free-floating HTS rings at Lagrange orbits and elsewhere. Lagrange 1 (L1) semi-stable orbits are distant from their co orbiting parent planets. For example, the Sol-Mars L1 co-orbit is ~318.74 marsRii (1,082,484 km) distant to Mars. Consequently, a HTS ring at the Sol-Mars L1 orbit might not keep Mars within its long magnetospheric tail for three main reasons: (1) Sol’s own heliospheric magnetic field would treat the L1 HTS ring as a compass needle under magnetic torque; (2) turbulent solar-wind buffeting of the magnetotail; and (3) the lack of a local Martian magnetic ‘cage’ field to retain sputtered and photoionized upper atmospheric ions. This new work describes the rationale and development of the Portable MP Model that is simple, intuitive, analytical, and portable to five classes of planetary-scale magnetic dipole moments: (1) natural dynamo solar bodies (Mercury, Earth, Jupiter, Ganymede, Saturn, Uranus, and Neptune), (2) solar bodies that are given surface or near-subsurface HTS rings (such as proposed for Mars), (3) L1-orbit HTS rings (such as proposed for the Sol-Mars L1 co orbit), (4) HTS-ringed space stations and space ships, and (5) HTS-ringed free floating astronauts. The Portable MP Model also accurately computes the MP-standoff distance (\mathbit{r}_{\mathbit{mp}}) in the nearfield of human-engineered rings (as proposed for Mars). Additionally, being primarily a magnetic model, the Portable MP Model can look into dipole-dominant planetary interiors to compute ‘best-fit’ dynamo-layer ring size and amperage magnitude—we report on the ‘best-fit’ dynamo-layer rings for Mercury and Earth. The simplicity of the new Portable MP Model makes it intuitive and educational, opening research into the engineering and application of magnetopauses to a wide audience: space-science and engineering professionals, math and science students from sixth grade to university graduate level, and the industrious public.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".