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18 results for “PIC simulation”
Simulation data for the step-by-step verification of PIC-MCC codes from VKI and LPP
<p>This dataset contains the results of PIC-MCC simulations of a 2D plasma in a box in 7 test cases with different boundary conditions. The results can be used to verify the correct implementation of PIC and MCC routines. The simulations are performed using the LPPic code, developed at the Laboratoire de Physique des Plasmas (LPP) at École polytechnique, and with Pantera, developed at the von Karman Institute for Fluid Dynamics (VKI).</p> <p><strong>CrossSections.zip</strong> contains the cross-sections used in the simulations in tabulated form. The first column is the collision energy in the center-of-mass frame in [eV]. The second column is the cross-section in [m²]. The cross-section for elastic e−H and electron impact excitation are taken from the Morgan database on LXCat (<a href="https://nl.lxcat.net">https://nl.lxcat.net</a>). The cross sections for H+−H elastic and charge exchange collisions are taken from the tabulated data in Schultz <em>et al.</em>. The ionization cross section corresponds to the fit of Janev <em>et al.</em>, but the energy has been scaled down by a factor of 10 for practical reasons.</p> <p><strong>DensityTemporalProfiles_xxx.csv</strong> contain the temporal evolution of the mean electron and ion density, normalized to the initial density. The data from VKI also contains the corresponding confidence interval estimates.</p> <p><strong>DensitySpatialProfiles_xxx.csv</strong> contain the spatial profiles along the x-coordinate (x in [0,1]m) of the electron and ion densities at the lat time step (t = 5 μs), spatially avergaed in the interval 0.4 m < y < 0.6 m. The data from VKI also contains the corresponding confidence interval estimates.</p> <p><strong>ResultsComparison.zip </strong>contains the temporal history of many domain-integrated quantities (number of particles, total momentum, energies, ...) for each run of each test case using both codes.</p> <p><strong>ErrorQuantification.zip</strong> contains the results of the same integrated quantities, in addition to a final snapshot of the simulation domain, for each test case at three progressive levels of refinement, obtained using the VKI code. These data has been used to compute the confidence intervals for temporal and spatial quantities.</p> <p><strong>DensityConvergenceRate.pdf </strong>contains plots of the effective convergence rate for the mean density of electrons and ions as a function of time for all test cases, computed using the VKI code.</p>
Dataset: 2D particle-in-cell (PIC) simulation of the magnetic reconnection for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field"
<p>This repository contains pubilicly available numerical data of a 2D magnetic reconnection event, which includes the field data and plasma moment data. The simulation is performed with the VPIC code. The simulated data are used for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field". </p>
PIC simulation results of an MMS southward IMF KH wave event
<p>Simulation data for Runs-A to D shown in the paper entitled "Multi-scale evolution of Kelvin-Helmholtz waves at the Earth's magnetopause during southward IMF periods" are uploaded. </p> <p>The simulations are performed using the VPIC code (githab.com/lanl/vpic).</p> <p>Values are normalized by B=2B_0, N=N_0 (magnetosheath component), the electron inertial length based on N_0 (d_e) and the speed of light c=2VAe=40VA.</p> <p>The ".gda" data are 2x smoothed, unformatted data written by fortran as "write(*) f".</p> <p>The ".dat" data are for the plots of time evolution curves shown in the paper.</p>
Robustness assessment via simulation-based fault injection of the implementation level models of the LEON3, MC8051, and PIC microcontrollers in presence of stuck-at, bit-flip, pulse, and delay fault models
<p>This dataset package contains the results of fault injection experiments for RTL and implementation-level models 3 microprocessors (LEON3, MC8051, PIC).</p> <p><strong> 1. Package contents:</strong><br> - raw traces of fault injection experiments: *.lst files<br> - analysis results grouped by fault models: *.html files in the /REPORT subfolders<br> - summary for each targeted HDL model and fault model: index.html in each design folder</p> <p>To facilitate the navigation through the contents, it is organized as a tree of *.html pages. The root page is 'index.html' in the archive root.<br> Additionally, to observe the raw traces for each experiment in the convenient form, the *.lst files are processed on the fly by custom python-script, returning the interactive *.html page. Each observation trace is a table, where: <br> - each row represents an observation vector, comprising {simulation time stamp}, {flags}, {internal state}, {outputs}.<br> - each cell is highlighted:<br> a) green if matches with reference trace (fault-free simulation),<br> b) red if mismatches with reference trace, denoting error for internals / failure for outputs,<br> c) violet in case of vector whose timestamp was not in reference (unexpected transition).<br> These highlighting options can be customized by modifying the linked *.css files.</p> <p> <br> <strong> 2. Installation</strong><br> 2.1 Ensure to have Web-Server installed (Apache preferable). For instance, XAMPP: https://www.apachefriends.org/index.html</p> <p>2.2 Ensure to have python ver. 2.x installed. Type in terminal (cmd console in Windows): “python --version” – if the output looks like > Python 2.x.x – python is installed. <br> Otherwise install the relevant 2.x.x distribution: https://www.python.org/<br> Add python installation path to environment path variable.<br> <br> 2.2 Ensure that Web-server is configured to execute CGI scripts, particularly python-scripts:<br> In the 'httpd.conf' file (XAMMP control panel – button config in front of apache module):<br> – search for line Options Indexes FollowSymLinks and add ExecCGI, so the resulting line looks like this: <br> Options Indexes FollowSymLinks ExecCGI<br> – search for #AddHandler cgi-script .cgi, uncomment (remove #), and append “.py” to this line, so the resulting line:<br> AddHandler cgi-script .cgi .pl .asp .py </p> <p>2.3 Unpack the *.zip package into the folder on the Web Server. For instance 'Web-server root folder'/ExperimentalResults.<br> The Web-Server root can be configured in the ‘httpd.conf’ file in the DocumentRoot section, for instance: <br> DocumentRoot "F:/HTWEB"<br> <Directory "F:/HTWEB"><br> ...</p> <p>2.4 In the web-browser navigate to the root directory of extracted package:<br> http://localhost/ExperimentalResults/index.html</p> <p> </p> <p><strong>3. How to read the contents</strong><br> The root page contains links to different analysis reports, for each HDL design under study and considered fault models. <br> The pages on the first tree level, represent the summary for each injection campaign, describing the rate of failure modes, number of experiments, latencies, and supplementary info. <br> The pages on the second tree level are the detailed analysis reports for each experiment, detailing the fault target, parameters of injected fault, detected failure mode, number of errors, etc. <br> The cells of the first column are highlighted a) in green if injection did not cause the failure, b) in red otherwise. The links in this first column navigate to the detailed traces for each experiment. <br> The latter requires that Web-server is configured to execute the python-scripts (see section 2 - Installation); otherwise the raw traces (*.lst files in ./results folders) can be observed by any text editor (notepad++, etc.).<br> </p>
DATA for 3D PIC simulation of MS waves
<p>Data for the paper of Excitation of magnetosonic waves in the Earth's dipole magnetic field: 3D PIC simulation</p>
Dataset for "Harmonic Structure of Lower Hybrid Waves Driven by Energetic Ions at 4000 km Altitude: PIC simulation"
<p>To produce the figures shown in the paper, you can launch Gnuplot and execute the following command:</p> <p>gnuplot> load "<em>(filename).</em>gp" (e.g. load "fig1.gp")</p> <p>For Figs. 1 and 4, you can input the filename in the scripts to produce the figures.</p> <p>For Figs. 2 and 3, you can set a flag variable, <em>flag</em>, as <em>flag=1</em> to produce the figure in case A or as <em>flag=2</em> to produce the figure in case B.</p> <p>The label in the plotted figures is the same as in the paper.</p> <p>We prepare CSV files so you can produce the figures with other software.</p>
Mercury particle precipitation using full-PIC global simulations
<p>Datasets and scripts concerning particle precipitation on the surface of Mercury derived from two implicit full-PIC simulations. We use the code iPIC3D to simulate the interaction between the solar-wind and the planet's magnetic environment. In this file we include (i) the 3D magnetic field data at steadystate, (ii) the particle precipitating on the planets at different times and (iii) the cross-sections of electron induced X-ray fluorescence emission between precipitating electrons and surface ions. Further details on the simulations can be found in: arXiv:2209.08517</p> <p>To clarify the usage of such different datasets, we include two modules to process the data in python (directory <em>src</em>) and few tests showing the capabilities of these modules (directory <em>test</em>). Images created from such tests can be found in the directory <em>images</em>.</p>
Simulation output from "Multiscale MHD-Kinetic PIC Study of Energy Flux Caused by Reconnection"
<p>Results from an implicit particle-in-cell simulation (IPIC3D) of the energy fluxes from magnetic reconnection in Earth's magnetotail. The results consist of six files in HDF5 format that contain the electric field, magnetic field, the density, velocity and energy flux. Each file contains one time step. </p> <p>The IPIC3D simulation is described in</p> <p>Markidis, S., Lapenta, G. and Rizwan-uddin (2010) Multi-scale simulations of plasma with IPIC3D . Mathematics and Computers and Simulation, 80, 1509-1519.</p> <p>The energy conserving version of IPIC3D used in this study is described in</p> <p>Lapenta, G., (2017) Exactly energy conserving semi-implicit particle in cell formulation, J. Computational Physics, 334, 349-366.</p> <p>The application of IPIC3D to Earth's magnetosphere is described in </p> <p>Walker, R., Lapenta, G., Berchem, J., El-Alaoui, M., and Schriver, D., (2019) Embedding particle-in-cell simulations in global magnetohydrodynamic simulations of the magnetosphere, Journal of Plasma Physics, 85(1). </p>
Figures for "The effect of parallel electron plateau on banded chorus generation: 1-D PIC simulations in mirror geometry"
<p>Figures for "The effect of parallel electron plateau on banded chorus generation: 1-D PIC simulations in mirror geometry"</p>
Effect of plasma initialization on 3D PIC simulation of Hall 1 thruster azimuthal instability
<p>This dataset only includes the plotting scripts for the research, because the data is too big. More may be uploaded in a later time.</p>
PIC Simulations of Flux Rope Formation
Open the record for dataset details and reuse information.
Dataset for paper "Equatorial propagation of the magnetosonic mode across the plasmapause: 2-D PIC simulations"
<p>Dataset used to produce figures in the paper "Equatorial propagation of the magnetosonic mode across the plasmapause: 2-D PIC simulations"</p>
"Laser wakefield accelerator driven by the super-Gaussian laser beam in the focus" - Input files for the PIC simulations in the EPOCH Code
<p>These are particle-in-cell simulation set-ups for the EPOCH code. The simulations show the super-Gaussian beam diffraction in free space and in plasma (LWFA acceleration).</p> <p>Coresponding publication is currently reviewed.</p>
Data for "PIC simulations of overstretched ion-scale current sheets in the magnetotail"
<p>This contains the data for the paper titled: "PIC simulations of overstretched ion-scale current sheets in the magnetotail" by: Harry Arnold and Mikhail Sitnov. See the README.txt file for more information of the data.</p>
2.5-D PIC Simulation of Symmetric Magnetic Reconnection with Varying Guide Field
Open the record for dataset details and reuse information.
Dataset for "Quantifying the Role of Electron Plateau Distribution on the Chorus Gap Formation Using One-dimension PIC Simulations" [Dataset]
<p>Dataset for figures in the paper</p>
Dataset: 1D particle-in-cell (PIC) simulation of the electron two-stream instability for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field"
<p>This repository contains pubilicly available numerical data for the electron two-stream instability, which includes the electric/magnetic perturbation data and 1D electron distribution data. The simulated data are used for the paper "Electron mixing and isotropization in the exhaust of asymmetric magnetic reconnection with a guide field". </p>
Dataset for "The effect of parallel electron plateau on banded chorus generation: 1-D PIC simulations in mirror geometry"
<p>Dataset for a paper "The effect of parallel electron plateau on banded chorus generation: 1-D PIC simulations in mirror geometry"</p>
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International Brain Laboratory public data
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OpenNeuro
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