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Record W4412122006 · doi:10.5194/epsc-dps2025-1280

Ionospheric Outflow in the Magnetosphere of Saturn

2025· preprint· en· W4412122006 on OpenAlexaff
M. Felici, S. V. Badman, L. C. Ray, Omakshi Agiwal, H. T. Smith, Rob Wilson, N. Achilleos, J. M. Jasinski, P. W. Valek, A. Mura, Luke Moore

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMagnetosphereIonosphereSaturnOutflowAstrobiologyEnvironmental scienceMagnetosphere of SaturnPhysicsAtmospheric sciencesMeteorologyAstronomyMagnetopausePlanetPlasma

Abstract

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It is well known that the ionosphere is an important mass source at Earth during periods of intense geomagnetic activity, but less attention has been dedicated to studying the ionospheric mass source at Saturn. Felici et al., 2016 described an ionospheric outflow event from Saturn's magnetotail, when Cassini was located at ≃ 2200 h Saturn local time at 36 RS from Saturn. During several entries into the magnetotail lobe, a tailward flowing cold ion beam was observed directly adjacent to the plasma sheet and extending deeper into the lobe. These ions, which were mostly H+, appeared to be dispersed, dropping to lower energies with time. The ion composition showed mainly H+. Ultraviolet auroral observations showed a dawn brightening, and upstream heliospheric models suggested that the magnetosphere was being compressed by a region of high solar wind ram pressure.Here, we report the results of a survey of ionospheric outflow events using data from the Cassini Plasma Spectrometer Singles (CAPS) collected in Saturn's magnetosphere. By examining the spacecraft's position relative to the plasma sheet, flow direction, and ion composition using Cassini Magnetometer data and CAPS Time of Flight data, as described by Felici et al., 2016, we confirmed that these were ionospheric outflow events and mapped them within Saturn's magnetosphere.Auroral and solar wind activity during these events were analyzed using data from the Cassini Ultraviolet Imaging Spectrograph and results from the ENLIL solar wind propagation model.We obtained number flux values at 10000 km altitude ranging from 5.24 x106 to 1.63 x109 cm-2 s-1. These values are within the range reported by Glocer et al., 2007, which is 7.3 x106 to 1.7 x108 cm-2 s-1 However, our values are lower than those estimated by Felici et al., 2016, which range from 2.95 x109 to 1.43 x1010 cm-2 s-1. We attribute this discrepancy to the fact that their study assumed completely cold ions, overestimating speeds and therefore the number flux, for the differential energy flux calculations. In contrast, calibrated moments for Cassini CAPS data are available at the time of this study. From the number flux, source rate could be estimated if the knowledge of the area of the emitting region could be inferred without too many assumptions. Felici et al., 2016 postulated that the outflow could have originated from regions different from the polar cap, and estimated the mass rate provided by an active region that covered the main auroral oval - as aurora images were available in their case - which resulted to be between 49.7 and 239 kg/s (assuming all ions to be H+), revealing that the ionosphere could release a mass quantity the same order of magnitude as Enceladus (60–100 kg/s).Future work will include an analysis of ionospheric outflow in the Jovian system, and comparisons with models of ionospheric outflow at the Gas Giants, and between observed outflow at the two planets.AcknowledgmentsThis work was supported by NASA under award numbers 80NSSC23K1275 and 80NSSC19K0892. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Aeronautics and Space Administration.References Felici et al. (2016), doi:10.1002/2015JA021648.Glocer et al., (2007), doi:10.1029/2006JA011755.

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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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.230
Teacher spread0.222 · 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 designSimulation or modeling
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".

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Citations0
Published2025
Admission routes1
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