Dataset
Data and code from: Inferring lunar wake potentials from electron phase space densities
Dryad
04/20/2026
DOI: 10.5061/dryad.0p2ngf2gk
Abstract
Inferring electric potentials from electron phase space density measurements in the lunar wake is complicated by the asymmetry between the two sides of the wake driven by the solar wind strahl and the presence of ion acoustic shocks in the central wake. We develop the Hamiltonian inversion method, which addresses both challenges through a domain-decomposition strategy based on the quasi-static Vlasov equilibrium, validate it against particle-in-cell (PIC) simulation data, and apply it to ARTEMIS spacecraft observations at two evolutionary stages of the lunar wake.
Details
- Title: Subtitle
- Data and code from: Inferring lunar wake potentials from electron phase space densities
- Creators
- Xin An - University of California, Los AngelesShaosui Xu - University of California, BerkeleyVassilis Angelopoulos - University of California, Los AngelesTerry Z. Liu - Shandong UniversityAndrew Poppe - University of California, BerkeleyJasper Halekas - University of IowaFerdinand Plaschke - Technische Universität Braunschweig
- Resource Type
- Dataset
- DOI
- 10.5061/dryad.0p2ngf2gk
- Publisher
- Dryad
- Grant note
- 80NSSC25K7047 / NASA Planetary Science (https://ror.org/04cr1bk24) 80NSSC22K1634 / Heliophysics Science Division (https://ror.org/03myraf72) 50 OC 2201 / German Center for Aviation and Space NAS5-02099 / National Aeronautics and Space Administration (https://ror.org/027ka1x80)
- Language
- English
- Date published
- 04/20/2026
- Academic Unit
- Physics and Astronomy
- Record Identifier
- 9985215018102771
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