Ion velocity distributions upstream from the Martian bow shock: Recent results from MAVEN
Bibliographic record
Abstract
The region upstream from the bow shock of Mars is rich in different particle populations along with the associated physical processes. The MAVEN Solar Wind Ion Analyzer (SWIA) measures ion velocity distributions with unprecedented time and angular resolution, enabling the first detailed investigation of ion populations. Analysis of the distributions reveals, in addition to the solar wind plasma, the presence of pickup ions and another suprathermal population. The latter is observed only along interplanetary magnetic field lines connected to the Martian bow shock, i.e. inside the foreshock. Further analysis of the reduced velocity distributions shows that the total distribution of the velocity component parallel to the ambient magnetic field is generally well fitted by three Maxwellian components, except when a high-energy tail is present. This is the first time that the physical characteristics of the non-thermal populations can be precisely determined at Mars, including their density, velocity and thermal width. These determinations enable to explore in depth the production mechanisms of the suprathermal populations and their relevance in wave-particle interaction. This provides a new venue to explore the relative impact of the exosphere and the bow shock on the upstream Martian environment.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".