Hybrid modeling of Mercury’s magnetosphere: Assessing accuracy in ion counting statistics

In this study, we present a method for comparing hybrid plasma simulations with spacecraft measurement data, with a focus on Mercury’s interaction with the solar wind. Utilizing the 3D global hybrid simulation model Adaptive Ion-Kinetic Electron-Fluid (AIKEF), we derived ion energy distributions in Mercury’s magnetosheath using different solar wind input scenarios. We introduce three concepts for counting the simulated particles and assess the systematic and stochastic variations. Furthermore, we evaluate the effect of different phase space resolutions within the model. We find that a lower phase space resolution influences the distribution peaks, thus emphasizing the need for adequate particle resolution. Dedicated simulation runs for BepiColombo’s second and third flyby maneuvers at Mercury, based on solar wind measurement data from the BepiColombo fluxgate magnetometer on board the Mio spacecraft (Mio-MGF) and Planetary Ion Camera (PICAM) instruments, enable quantitative comparison of simulated data with ion spectrometer measurements. The energy flux distributions measured by PICAM fall within the confidence intervals of the modeled data. Additionally, we find that systematic deviations dominate the stochastic deviations. Our analysis shows that our simulation is an effective tool for understanding magnetospheric conditions, and it can assist in interpreting the in situ spacecraft measurements from BepiColombo upon its arrival.

Authors

Publication Details

Journal
Astronomy and Astrophysics
Published
2025-04-17
DOI
https://doi.org/10.1051/0004-6361/202453452
Citations
2
Primary Topic
Planetary Science and Exploration
Type
article
Field-Weighted Citation Impact
2.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid modeling of Mercury’s magnetosphere: Assessing accuracy in ion counting statistics

S. Orsini, Anna Milillo, Daniel Schmid, Yasuhito Narita et al.
2 citations
Astronomy and Astrophysics
Planetary Science and Exploration
2.31
article

Hybrid modeling of Mercury’s magnetosphere: Assessing accuracy in ion counting statistics

S. Orsini, Anna Milillo, Daniel Schmid, Yasuhito Narita, Willi Exner, Daniel Teubenbacher, H. Jeszenszky, Ayako Matsuoka, Ali Varsani, W. Baumjohann, D. Fischer, G. Laky
article en
2 citations

Abstract

In this study, we present a method for comparing hybrid plasma simulations with spacecraft measurement data, with a focus on Mercury’s interaction with the solar wind. Utilizing the 3D global hybrid simulation model Adaptive Ion-Kinetic Electron-Fluid (AIKEF), we derived ion energy distributions in Mercury’s magnetosheath using different solar wind input scenarios. We introduce three concepts for counting the simulated particles and assess the systematic and stochastic variations. Furthermore, we evaluate the effect of different phase space resolutions within the model. We find that a lower phase space resolution influences the distribution peaks, thus emphasizing the need for adequate particle resolution. Dedicated simulation runs for BepiColombo’s second and third flyby maneuvers at Mercury, based on solar wind measurement data from the BepiColombo fluxgate magnetometer on board the Mio spacecraft (Mio-MGF) and Planetary Ion Camera (PICAM) instruments, enable quantitative comparison of simulated data with ion spectrometer measurements. The energy flux distributions measured by PICAM fall within the confidence intervals of the modeled data. Additionally, we find that systematic deviations dominate the stochastic deviations. Our analysis shows that our simulation is an effective tool for understanding magnetospheric conditions, and it can assist in interpreting the in situ spacecraft measurements from BepiColombo upon its arrival.

Astronomy and AstrophysicsVol. 698
Österreichische Forschungsförderungsgesellschaft
Openalex Percentile: Top 12%
Planetary Science and Exploration
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.