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18 results for “particle in cell simulation”
Three-dimensional magnetic reconnection in particle-in-cell simulations of anisotropic plasma turbulence (Simulation Data)
<p>This folder contains the output of the following simulation: </p> <p>We use the explicit Plasma Simulation Code (PSC, Germaschewski et al.2016) to simulate eight anisotropic counter-propagating Alfvén waves in an ion-electron plasma. The anisotropy of the initial fluctuation is set up according to the theory of critical balance by Sridhar & Goldreich (1994) and Goldreich & Sridhar (1995) at the small scale end of the inertial range: <span class="math-tex">\(k_{\parallel} d_{i} = C (|k_{\perp}|d_{i})^{2/3}\)</span>, where <span class="math-tex">\(C= 10^{-4/3}\)</span>. The normalization parameters are the speed of light <span class="math-tex">\(c = 1\)</span>, the vacuum permittivity <span class="math-tex">\(\epsilon_{0} = 1\)</span>, the magnetic permeability <span class="math-tex">\(\mu_{0} = 1\)</span>, the Boltzmann constant <span class="math-tex">\(k_{b}=1\)</span>, the elementary charge <span class="math-tex">\(q=1\)</span>, the ion mass <span class="math-tex">\(m_{i}=1\)</span>, the density of ions and electrons <span class="math-tex">\(n_{i}=n_{e}=1\)</span> and the ion inertial length <span class="math-tex">\(d_{i}=c/\omega_{pi}\)</span> where <span class="math-tex">\(\omega_{pi}=\sqrt{n_{i}q^{2}/m_{i}\epsilon_{0}}\)</span> is the ion plasma frequency. We set <span class="math-tex">\(\beta_{s,\parallel}=1\)</span> and <span class="math-tex">\(T_{s,\parallel}/T_{s,\perp}=1\)</span>, where <span class="math-tex">\(\beta_{s,\parallel}=2 n_s \mu_{0} k_{B}T_{s,\parallel}/B_{0}^{2}\)</span> is the ratio between the plasma pressure parallel to the background magnetic field <span class="math-tex">\(\mathbf{B}_{0}\)</span> and the magnetic pressure and $T_{s,\parallel}$ is the parallel temperature. The magnetic field is normalised to <span class="math-tex">\(B_{0}=V_{A}/c\)</span>, where <span class="math-tex">\(V_{A}=B_{0} / \sqrt{\mu_{0}n_{i}m_{i}}\)</span> is the ion Alfvén speed. We use 100 particles per cell (100 ions and 100 electrons), a mass ratio of <span class="math-tex">\(m_{i}/m_{e} = 100\)</span> so that <span class="math-tex">\(d_e = 0.1 d_{i}\)</span> where <span class="math-tex">\(m_{e}\)</span> is the electron mass and <span class="math-tex">\(d_{e}\)</span> is the electron inertial length. The simulation box size is <span class="math-tex">\(L_{x} \times L_{y} \times L_{z} = 24d_{i}\times24d_{i}\times125d_{i}\)</span> and the spatial resolution is <span class="math-tex">\(\Delta x =\Delta y = \Delta z = 0.06d_{i}\)</span>. We use a time step <span class="math-tex">\(\Delta t =0.06/ \omega_{pi}\)</span>. In our normalisation, the Debye length <span class="math-tex">\(\lambda_{D}=d_{i}\sqrt{\beta_{i}/2}V_{A}/c\)</span> defines the minimum spatial distance that needs to be resolve in the simulation and <span class="math-tex">\(\lambda_D=0.07d_i\)</span>.</p> <p>This output corresponds to <span class="math-tex">\(t=120 \omega_{pi}\)</span>. </p> <p>These data were produced using the Data Intensive at Leicester (DIaL) facility provided by the DiRAC project<br> dp126 "Identifying and Quantifying the Role of Magnetic Reconnection in Space Plasma Turbulence".</p>
The spreading of magnetic reconnection X-line in particle-in-cell simulations– mechanism and the effect of drift-kink instability
<p>This dataset contains data and Python scripts in "The spreading of magnetic reconnection X-line in particle-in-cell simulations– mechanism and the effect of drift-kink instability" prepared to submit to the Journal of Geophysical Research. </p>
3D data snapshot from a radiative particle-in-cell simulation of plasma turbulence
<p>A full 3D data snapshot of plasma turbulence as simulated by the Runko particle-in-cell code. The data is visualized in Fig. 3 of Nättilä 2024. The simulation models the magnetized corona around black-hole accretion flows.</p> <p>The dataset includes the simulation snapshot (flds_2500.h5) and the corresponding runko configuration file (x16.ini). The turbulence is excited with a Langevin antenna and has a guide field along the z-axis. See the paper for other physical and technical details.</p> <p>The flds_2500.h5 HDF5 file includes 10 datasets with a 640^3 resolution:</p> <ul> <li>ex, ey, ez for electric field x, y, and z components</li> <li>bx, by, bz for magnetic field components</li> <li>jx, jy, jz for current density components</li> <li>rho for plasma density</li> </ul>
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>
Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere"
<p>Simulation dataset of "Particle-in-cell simulations of characteristics of rising-tone chorus waves in the inner magnetosphere", including magnetic fields and parallel and perpendicular temperatures of energetic electrons.</p>
Particle-in-cell Simulation of the Neutrino Fast Flavor Instability
<p>1D_fiducial.tgz contains the input parameters and simulation output data from the fiducial simulation. Each timestamp with output data is stored in a plt* directory.</p> <p>scripts.tgz contains the data reduction and plotting scripts used in the paper. We require yt to read the data with our scripts.</p> <p>inputs.tgz contains input files for each of the simulations in the paper. The test problem inputs (MSW, bipolar, homogeneous FFI, inhomogeneous FFI) are part of the test suite in Emu.</p> <p>Simulations are run using the version of Emu (v1.1) at http://doi.org/10.5281/zenodo.4423166 or https://github.com/AMReX-Astro/Emu.</p>
Supplementary materials: "Synthesizing Particle-in-Cell Simulations Through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines"
<p>Data archive for stage 3 of manuscript for PASC24. See Readme stage 3.txt for more details.</p> <p> </p> <p>This work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231 and by LLNL under Contract DE-AC52-07NA27344. This material is based upon work supported by the U.S. Department of Energy, OFfice of Science, Office of High Energy Physics, General Accelerator R&D (GARD), under contract number DE-AC02-05CH11231. This material is based upon work supported by the CAMPA collaboration, a project of the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of High Energy Physics, Scientific Discovery through Advanced Computing (SciDAC) program. This research was supported by the Exascale Computing Project (17-SC-20-SC), a joint project of the U.S. Department of Energy's Office of Science and National Nuclear Security Administration, responsible for delivering a capable exascale ecosystem, including software, applications, and hardware technology, to support the nation's exascale computing imperative.This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 using NERSC award HEP-ERCAP0023719.</p>
Evolution of plasma properties in 2D particle-in-cell simulations of pulsar polar caps as function of dipole inclination angle
<p>The video shows the evolution of plasma properties in polar cap region of neutron stars from initial simulation conditions to the quasi-periodic pair creation. Three inclination angles of magnetic dipole axis to the star rotation axis are investigate \iota = 0°, 45°, and 90°.</p> <p>The presented quantities are (in rows): Parallel current density, parallel electric field, parallel and perpendicular Poynting flux, electron and positron plasma density, and electron and positron plasma bulk momenta.</p> <p> </p>
[Dataset] Intensity and Dimensionality-Dependent Dynamics of Laser-Proton Acceleration in 1D, 2D, and 3D Particle-in-Cell Simulations
<p>The included Jupyter Notebooks (.ipynb) were used to generate figures and make calculations for the work. The resulting image files are saved in Figure_Outputs.tar.gz. The other archives (1D.tar.gz, 2DS.tar.gz, 2DP.tar.gz, 3D.tar.gz, laser_focus.tar.gz, and EField.tar.gz) are compressed directories containing EPOCH PIC simulation outputs for the paper (relevant directories should be extracted to replicate analysis with provided files). </p> <p>Since the last version, a new figure (Figure 6, an ion phase space) has been added. Notebooks for later figures have been renumbered and the figure outputs have been updated. </p>
Beam-driven Electron Cyclotron Harmonic and Electron Acoustic Waves as Seen in Particle-In-Cell Simulations
<p>Data repository for ``Beam-driven Electron Cyclotron Harmonic and Electron Acoustic Waves as Seen in Particle-In-Cell Simulations''. This repository contains particle-in-cell simulations of beam-driven electron cyclotron harmonic and whistler-mode waves.</p>
Dataset for "Particle-in-cell simulations of the fast magnetosonic mode in a dipole magnetic field: 1D along the radial direction"
<p>Dataset used to produce figures in the paper "Particle-in-cell simulations of the fast magnetosonic mode in a dipole magnetic field: 1D along the radial direction"</p>
The effect of photoionization on positive streamers in CO2 studied with 2D particle-in-cell simulations
<p>This dataset consists of files used to produce the data presented in the article "The effect of photoionization on positive streamers in CO2 studied with 2D particle-in-cell simulations". This dataset includes 1) source code for the simulations; 2) transport data files and configuration files for running the simulations and 3) codes to illustrate the self-sustaining criterion for streamer discharges in CO2.</p>
Dataset for Electron heating associated with magnetic reconnection in foreshock waves: particle-in-cell simulation analysis
<p>The dataset is the simulation data included in the paper of "Electron heating associated with magnetic reconnection in foreshock waves: particle-in-cell simulation analysis".</p> <p>pic_data....zip (4 files) contain PIC simulation data in the binary format.<br> pic_data_x120-180_y-30-0_part1.zip and pic_data_x120-180_y-30-0_part2.zip are for the sub-domain of x=120~180 di, y=-30~0 di<br> pic_data_x120-180_y30-60_part1.zip and pic_data_x120-180_y30-60_part2.zip are for x=120~180 di, y=30~60 di.<br> For each file, the prefix (e.g., bx, ey, ne, etc.) indicates the quantity. The number in the suffix indicates the time step in units of omega_pe^-1, where 3733 omega_pe^-1 corresponds to 0.5 omega_ci^-1. <br> Each file contains float data arrays with a size of 6272x3136x1, corresponding to x-y dimensions. Data can be read by softwares like IDL, python, Matlab, etc, using the standard data reading method.</p> <p>fermi_dat.zip contains data for the Fermi decomposition calculations shown in Figure 8. Each file is for one event. The 3 columns are for time (twci), Fermi_xy, and Fermi_z. Fermi_xy and Fermi_z are for the unit area, and the total Fermi term is equal to Fermi_xy+Fermi_z.</p> <p>je_te_dat.zip contains data for Te and je.E decomposition, used to produce Figures 4 and 6. Each file is for one event, where the region is shown in the filename. The columns are:</p> <p>time (in twci),</p> <p>number of X-lines in the region,</p> <p>total je.E (integrated over the area),</p> <p>jepara.Epara,</p> <p>jeperp.Eperp,</p> <p>sum of the perpendicular jeperp.Eperp decompositions (ideally should be equal to jeperp.Eperp value),</p> <p>Fermi,</p> <p>Betatron,</p> <p>magnetization,</p> <p>demagnetized (jeperp.Eperp in regions with K<1),</p> <p>average Te over the area,</p> <p>delta_Te/miVA^2 where delta_Te is the average Te over the area subtracting the minimum Te in the area, and VA is based on the average |B| and n in the area</p> <p>delta_Te/miVA^2, where delta_Te is the same as above, and VA is based on the magnetic field amplitude in the x-y plane</p> <p>average Te over 2di x 2di surrounding X-line</p> <p>delta_Te/miVA^2, where delta_Te is the average Te over 2dix2di subtracting the minimum Te in the area, and VA is based on average |B| and n in the area</p> <p>average Te over 2dex2de surrounding X-line</p> <p>delta_Te/miVA^2, where dleta_Te is the average Te over 2dex2de subtracting the minimum Te in the area, and VA is based on the magnetic field amplitude in the x-y plane</p> <p>delta_Te/miVA^2, where dleta_Te is the average Te over 2dex2de subtracting the minimum Te in the area, and VA is based on the average |B| and n in the area</p> <p>average |B| in the area</p> <p>average magnetic field amplitude in the x-y plane</p> <p>average density n</p> <p>minimum Te in the area</p> <p> </p> <p>je_te_norx_dat.zip contains Te and je.E data for non-reconnection current sheets. The format is the same with je_te_dat.zip</p> <p>thickness_data_plots.zip contains plots for individual current sheets at the time with a minimum thickness. The filename contains information about the current sheet, for example:</p> <p>cs_te_twci15.5_x45.292_y8.184_dte-1.07_d3.2_dve6.1_jm0.23.png</p> <p>means it is at the time twci=15.5, the X-line location is at x=45.292di, y=8.184 di, delta_Te/miVA^2 is -1.07%, where we take a cut along N across the X-line, delta_Te is the difference between the average Te in the current sheet and that just outside of the current sheet, and VA is based on the inflow parameters outside of the current sheets on both sides of the current sheet. The thickness of the current sheet is 3.2 de. The VeL shear flow at the edges of the current sheet is 6.1 VA, and the maximum jz is 0.23. The thickness information is used for plotting Figure 10.</p> <p> </p> <p> </p>
3D particle-in-cell simulations of negative and positive streamers in C4F7N-CO2 mixtures
<p>The dataset contains the data for obtaining the results presented in the article "3D particle-in-cell simulations of negative and positive streamers in C4F7N-CO2 mixtures". It includes (1) the PIC/MCC source code; (2) transport data files as input; (3) configuration files for simulation execution; and (4) output log files (which contain information about the physics and numerical properties of the simulations).</p>
Data for "Spatial scales of rising-tone chorus in a dipole magnetic field: two-dimensional particle-in-cell simulation"
<p>The GCPIC simulation output data and the corresponding data analysis code.</p>
Simulation data for "Particle-in-cell simulation of electron cyclotron harmonic waves driven by a loss cone distribution"
<p>PIC simulation data of ECH waves driven by loss-cone distribution.</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 paper "Two-dimensional particle-in-cell simulations of magnetosonic waves in the dipole magnetic field: On a constant L-shell"
<p>* Reduced datasets for figures in the manuscript.</p> <p>* Code for producing the simulation data.</p>
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