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Détails bibliographiques
Auteur principal: Ballerini, Giulio
Format: Recurso digital
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Publié: Zenodo 2025
Accès en ligne:https://doi.org/10.5281/zenodo.17672514
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  • <ol> <li> <p>Description of the dataset<br>This archive contains output from a 3-D hybrid particle-in-cell (PIC) simulation (kinetic ions, fluid electrons) performed with the Menura code, modelling Mercury’s magnetosheath. used in the associated research article.<br>All files are stored in NumPy (.npy) format and can be loaded directly using numpy.load() in Python.</p> </li> </ol> <ol> <li> <p>File contents</p> </li> </ol> <p>beta.npy → Plasma beta<br>dens.npy → Ion number density (normalised to sw value)<br>Ppar.npy → Parallel ion pressure (normalised to sw value)<br>Pper.npy → Perpendicular ion pressure (normalised to sw value)<br>B.npy → Magnetic field vector magnitude (normalised to sw value)<br>x.npy, y.npy, z.npy → Spatial coordinates of the simulation grid<br>parameters.txt → Text file containing simulation parameters and setup</p> <p>Notes:</p> <ul> <li> <p>All arrays share the same grid dimensions Nx, Ny,Nz.</p> </li> </ul> <ol> <li> <p>How to read the data (Python example)</p> </li> </ol> <p>import numpy as np</p> <p>dens = np.load("dens.npy")<br>B = np.load("B.npy")<br>x = np.load("x.npy")<br>y = np.load("y.npy")<br>z = np.load("z.npy")</p> <ol> <li> <p>Parameters and metadata<br>The file parameters.txt contains the full simulation configuration (solar wind parameters, magnetic field, grid resolution, timestep, boundary conditions, etc.).<br>This file can also be parsed automatically using the analysis scripts available in the GitLab repository: https://gitlab.com/menura_plasma/menura</p> </li> </ol> <ol> <li> <p>Simulation notes</p> </li> </ol> <ul> <li> <p>Code: Menura (hybrid PIC)</p> </li> <li> <p>Target: Mercury’s magnetosphere</p> </li> <li> <p>Solar wind configuration: laminar</p> </li> </ul> <ol> <li> <p>Software</p> </li> </ol> <p>Simulation code: Menura <br>Menura Guide: https://menura.readthedocs.io/</p>