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Record W4408426157 · doi:10.5194/egusphere-egu25-8900

On the role of pickup protons in the generation of mirror modes at Mars

2025· preprint· en· W4408426157 on OpenAlexaff
Cyril Simon Wedlund, C. Mazelle, K. Meziane, C. Bertucci, M. Volwerk, Luis Preisser, Daniel Schmid, J. S. Halekas, J. McFadden, D. L. Mitchell, J. R. Espley, Pierre Henri

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPickupMars Exploration ProgramPhysicsAstrobiologyAerospace engineeringOpticsEngineeringComputer science

Abstract

fetched live from OpenAlex

In the magnetosheath of planets, mirror modes triggered by the mirror mode instability form as large magnetic structures imprisoning dense and hot plasma in their midst. The free energy created from a large pressure anisotropy at their origin can come from several sources. At Earth and other planets, the quasi-perpendicular shock provides the plasma with the necessary heating along the perpendicular direction to the local magnetic field. At Mars, the extended exosphere theoretically provides another source of temperature anisotropy, with exospheric neutrals locally ionised and subsequently picked up by local electric fields creating unstable ring-beam velocity distribution functions. Using the Mars Atmosphere and Volatile EvolutioN (MAVEN) mission plasma instrumentation, we show for the first time at Mars the unmistakable signature of near locally-generated mirror mode structures due to pickup protons. The pickup ion mechanism is reminiscent of temperature anisotropy-generating mechanisms found at comets, the outgassing moons of Jupiter, and in other heliospheric scenarios.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.040
GPT teacher head0.255
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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