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32 results for “Streamer”
Data and code for the paper "Macroscopic parameterization of positive streamer heads in air"
<p>This dataset contains the following:</p> <ul> <li><strong>ODE_solutions_no_photoi</strong>: the simulation results corresponding to figure 3 (see the README in the folder)</li> <li><strong>ODE_solutions_photoi</strong>: the simulation results corresponding to figure 6 (see the README in the folder)</li> <li><strong>input</strong>: the electron transport data used in the simulations (ionization coefficient, attachment coefficient, electron mobility) as a function of electric field strength</li> <li><strong>ODE_model.py</strong>: The version of the ODE model used in the paper</li> </ul> <p>The most recent version of the ODE model can be found at <a href="https://github.com/MD-CWI/streamer-head-ode">https://github.com/MD-CWI/streamer-head-ode</a></p>
Streamer propagation in humid air
<p>This dataset includes the input and output files for the paper: Streamer propagation in humid air.</p> <p><strong>Input files</strong>:</p> <p># <em>Plasma-chemistry and transport coefficients</em></p> <p>chemistry_files/*.txt</p> <p># <em>Configuration files</em></p> <p>config_files/*.cfg</p> <p># <em>Initial conditions (densities)</em></p> <p>config_files/m_user.f90</p> <p><strong>Output files (output_files)</strong>:</p> <p>*.silo</p> <p>*.txt</p> <p>Output data generated with the software afivo-streamer (https://gitlab.com/MD-CWI-NL/afivo-streamer) corresponding to the commit 1ff2676ba48a5eb568f06c7b11a548629a5ff20c</p>
Streamer propagation in humid air
<p>This dataset includes the input and output files for the paper: Streamer propagation in humid air.</p> <p><strong>Input files</strong>:</p> <p># <em>Plasma-chemistry and transport coefficients</em></p> <p>chemistry_files/*.txt</p> <p># <em>Configuration files</em></p> <p>config_files/*.cfg</p> <p># <em>Initial conditions (densities)</em></p> <p>config_files/m_user.f90</p> <p><strong>Output files (output_files)</strong>:</p> <p>*.silo</p> <p>*.txt</p> <p>Output data generated with the software afivo-streamer (https://gitlab.com/MD-CWI-NL/afivo-streamer) corresponding to the commit 1ff2676ba48a5eb568f06c7b11a548629a5ff20c</p> <p> </p>
Sprite streamer at 50 km altitude
<p>Reduced electric field and species density produced by a simulated positive sprite streamer 80 micro-s after the onset of the simulation between altitudes 50 km and 49.7 km.</p> <p>The file claw0040.hdf corresponds to the data in each grid-cell.</p> <p>The ZIP files contain text files of the temporal evolution of the data in particular points.</p>
A 3D kinetic Monte Carlo study of streamer discharges in CO2
<p>The dataset contains compilable files and input files for the paper "A 3D kinetic Monte Carlo study of streamer discharges in CO2".</p>
Data used in the publication "The sensitivity of streamer inception on the initial electron-ion patch"
<p>This data was used to generate the Figures in the publication "The sensitivity of streamer inception on the initial electron-ion patch".</p>
Comparing simulations and experiments of positive streamers in air: steps toward model validation
<p>This dataset consists of files used to produce the data presented in the article "Comparing simulations and experiments of positive streamers in air: steps toward model validation". This dataset includes 1) source code for the simulations; 2) transport data files, which contain a list of included reactions, their reaction rate coefficients, and transport coefficients; 3) configuration files for running the simulations; 4) outputted log files of the simulations and 5) original experimental images.</p> <p>This dataset is for the revised paper.</p>
Data Used in "Close view of of the lightning attachment process unveils the streamer zone fine structure"
<p>This page contains high-speed video files as .gif and .cine files, for the complete video of Figure 2 (Movie S1 and S3). It also contains the video (Movie S2) from a second high-speed (Phantom V711) looking in a different direction that saw other UUL leaders not registered by the Phantom V2012 camera. There is also an Excel file containing the data analysis. The data uploaded here is sufficient to reproduce the results of the paper titled "Close view of of the lightning attachment process unveils the streamer zone fine structure", submitted for publication in Geophysical Research Letters.</p> <p><em>Instructions to watch the videos</em>: <strong>Movie S1.cine </strong>and<strong> Movie S2.cine:</strong></p> <p>Download and use the software Phantom Camera Control (PCC) available at:</p> <p><a href="https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware">https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware</a></p> <p>The Phantom Camera Control (PCC) software is compatible with Windows 7 Pro and Windows 8.1 and Windows 10, for both 32 and 64-bit operating systems.</p>
Visualization of electric field distribution inside streamer zones of positive and negative lightning leaders
<p>This online storage contains numerous 3D visualizations of streamer coronas of positive and negative lightning leaders (figures named “3D”) along with 2D distributions of electric field inside and at the close vicinity of their streamer zones (figures named “2D”).</p> <p>In 3D figures yellow links are streamer channels growing from the leader tip (short red link). Solid red areas denote the volumes inside which electric field amplitude exceeds the air breakdown threshold amounting 2.9 MV/m at the considered altitude of 1 km above the mean sea level. Values in legends of each panel are (from left to right) percentage of horizontal links, streamer zone fractal dimension, leader channel sheath line charge density, and the maximal value of local electric field.</p> <p>2D figures present electric field distributions inside and at the close vicinity of streamer zones of positive and negative lightning leaders in x-z and y-z planes for the cases presented in Figs. “3D”. Upper panels visualize vector fields superimposed on equipotential lines. Bottom panels show electric field amplitudes. Dotted lines denote streamer corona borders in corresponding planes.</p> <p>In model realizations the vast majority of streamer zones of positive leaders does not have the areas with electric field exceeding the dielectric strength of air. However, only “successful” cases, in which the amplitudes of local electric field amplifications were bigger than 2.9 MV/m, are shown here.</p>
Actividad de Chat de Twitch de 6 streamers hispanohablantes (Diciembre de 2022)
<p>Base de datos generada a partir del raspado de mensajes (chat-scrapping) de los canales de Twitch de los streamers Illojuan, Ibai, Auronplay, Iamcristinini, Staryuuki y Rivers_gg durante un periodo de 10 días (entre el 11 de diciembre y 21 de diciembre de 2022).</p>
Data used in the publication "The emission of terrestrial gamma-ray flashes associated to streamer coronae of the final leader step"
<p>Simulation data used to create Fig. 2 of "The emission of terrestrial gamma-ray flashes associated to streamer coronae of the final leader step"</p>
Streamer propagation in humid air
<p>This dataset includes the input and output files for the paper: Streamer propagation in humid air.</p> <p><strong>Input files</strong>:</p> <p># <em>Plasma-chemistry and transport coefficients</em></p> <p>chemistry_files/*.txt</p> <p># <em>Configuration files</em></p> <p>config_files/*.cfg</p> <p># <em>Initial conditions (densities)</em></p> <p>config_files/m_user.f90</p> <p><strong>Output files (output_files)</strong>:</p> <p>*.silo</p> <p>*.txt</p> <p>Output data generated with the software afivo-streamer (https://gitlab.com/MD-CWI-NL/afivo-streamer) corresponding to the commit 1ff2676ba48a5eb568f06c7b11a548629a5ff20c</p>
A computational study of accelerating, steady and fading negative streamers in ambient air
<p>This dataset contains the data used to generate the results presented in the article "A computational study of accelerating, steady and fading negative streamers in ambient air". This dataset includes (1) the source code; (2) two transport data files, which contain a list of included reactions, with their reaction rate coefficients, and transport coefficients; (3) configuration files for running the simulations and (4) output log files, which contain information about the physics and numerical properties of the simulations.</p>
Data files related to radio emission from streamer discharges
<p>Radio emission from streamer discharges<br><br>This dataset contains files related to the paper "Calculating radio emissions of positive streamer phenomena using 3D simulations" by Malla et al. The content is described below.</p> <p><strong>experimental_radio_emission & experimental_current_change<br></strong></p> <p>This dataset includes: 1) discharge images in .tif files, and 2) waveforms recorded by oscilloscope in .trc files. (C1: voltage, C2: current, C3: ICCD monitor, C4: antenna. Traces No.0 are waveforms without discharge.)</p> <p><strong>jefimenko_code<br></strong>This directory contains the code used to convert simulation output to radiated fields. After simulation output is stored, time derivatives are computed using `convert_silo_files.sh`. The `jefimenko.f90` code is then used to compute radiated electric fields. These two steps can be combined as in the script `convert_and_compute_emission.sh`.</p> <p><strong>computed_radiated_fields<br></strong>This directory contains the radiated electric fields versus time as computed by the above procedure.</p> <p><strong>simulation_config_files<br></strong>This directory contains configuration files that can be used to reproduce the simulation results with the [afivo-streamer](https://github.com/MD-CWI/afivo-streamer) simulation code (commit 016d497, newer should also work).</p> <p><strong>simulation_log_files</strong><br>This directory contains the log files produced by the simulations, which contain information on e.g. the maximal electric field, the total amount of dissipated energy, the number of grid cells etc.</p>
Data used in the publication "Streamer discharges in the atmosphere of Primordial Earth"
<p>Simulation data used to create Figs. 2 and 4 of "Streamer discharges in the atmosphere of Primordial Earth"</p>
Effects of a negative corona discharge on subsequent positive streamers
<p>Data Description for "Effects of a negative corona discharge on subsequent positive streamers":</p> <p>1. ICCD files_long exposure: pictures of streamers in 80 mbar air and nitrogen with 500 ns exposure.</p> <p>2. ICCD files_short exposure: pictures of streamers in 80 mbar air and nitrogen with 50 ns exposure.</p> <p>3. waveforms: the oscilloscope waveforms streamers and corona discharge in 80 mbar air.</p>
Data on streamer initiation from charged hydrometeors
<p>This dataset contains data from a series of simulations of streamers Initiation from spherical and column hydrometeors in thundercloud fields. The corresponding simulation experiments are described in paper "Jinjin Hu, Yikai Ma, Xin Gao, and Ningyu Liu(2021) Study on Dominant Parameters Determining Streamer Initiation from Hydrometeors in Thundercloud Fields. Journal of Geophysical Research: Atmospheres, doi: 10.1029/2021JD034936". The simulation mainly investigated the three factors affecting streamers Initiation: the size of hydrometeors, the shape of hydrometeors (spherical and column), and the quantity of electric charge carried on the surface of hydrometeors (0pC, 180pC, 200pC, 300pC, 400pC). In addition, the simulation of streamers initiation at different initial electron densities is also studied. That is, this dataset includes two parts of simulated experimental data: one is the simulated data of spherical hydrometeors with different sizes and electric charges; the other is the simulated data of column hydrometeors with different sizes and electric charges. Based on the simulation results, the Meek criterion was used to analyze the lowest background electric field causing the streamers from spherical and column hydrometeors, and the condition of streamer initiation from spherical and column hydrometeors was compared. The main results of the simulation experiment are as follows:(1)A larger hydrometeor is more likely to initiate a streamer discharge at a lower ambient field for noncharged hydrometeors.(2)The charge on hydrometeor plays a prominent role when a charged hydrometeor has a smaller size, and it is easier to initiate a streamer in this case. (3) The charge on hydrometeor plays a dominant role in streamer initiation when hydrometeor is smaller, but hydrometeor shape becomes more important for larger hydrometeor.(4) Streamer discharge can be predicted by Meek number, but stable streamer can not be ensured.(5) Initial electron and ion pair density has little effects on the streamer initiation. Only the moments starting to form streamer discharge depend on the initial density.</p> <p><a name="_Hlk78241047"> </a></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>
Quantitative modeling of streamer discharge branching in air
<p>Streamer discharges are the primary mode of electric breakdown of air in lightning and high voltage technology. Streamer channels branch many times, which determines the developing tree-like discharge structure. We simulate branching of positive streamers in air using a 3D fluid model with stochastic photoionization. The distributions of branching angles and branching locations agree quantitatively with dedicated experiments. The simulated branching is remarkably sensitive to the photoionization coefficients, which confirms the validity of the classical photoionization model.</p>
Quantitative modeling of streamer discharge branching in air
<p>Streamer discharges are the primary mode of electric breakdown of air in lightning and high voltage technology. Streamer channels branch many times, which determines the developing tree-like discharge structure. We simulate branching of positive streamers in air using a 3D fluid model with stochastic photoionization. The distributions of branching angles and branching locations agree quantitatively with dedicated experiments. The simulated branching is remarkably sensitive to the photoionization coefficients, which confirms the validity of the classical photoionization model.</p>
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