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6 results for “decaying turbulence”
Datasets for ``Dynamo effect in decaying helical turbulence''
<p>In this supplemental material to the paper ``Dynamo effect in decaying helical turbulence,'' Phys. Rev. Fluids, 4, 024608 (2019), DOI: <a href="https://doi.org/10.1103/PhysRevFluids.4.024608">10.1103/PhysRevFluids.4.024608</a>, <a href="http://arXiv.org/abs/1710.01628">(arXiv:1710.01628</a>) we provide the underlying data to most of the figures. The file decdynamo.tar.gz contains a gzipped tar file to the website</p> <p> https://www.nordita.org/~brandenb/projects/decdynamo/</p> <p>For each of the Runs A-H plus 3 addition ones of Figures 13 and 14, the original run directories are given. They contain secondary data such as time series and spectra. The full snapshots are not stored, but all the relevant files needed for rerunning any particular simulation exist. In each directory, the input files (*.in) exist and data are under the directory data (including time series and spectra). In some cases, data directly relevant for particular plots are available, for example the directory "spectra" contains selected spectra used in some plots.</p>
Datasets for "Turbulent magnetic decay controlled by two conserved quantities"
<pre>This directory contains an index.html file with links to the run directories and idl plotting routines with secondary data for the other figures for the paper "Turbulent magnetic decay controlled by two conserved quantities" by A. Brandenburg, & A. Banerjee. If anything turns out to be incomplete, please email brandenb@nordita.org.</pre>
Datasets for "Scaling of the Hosking integral in decaying magnetically-dominated turbulence"
<pre>This directory contains an index.html file with links to the run directories with secondary data for the figures and a Mathematica notebook for make the figures for the paper "Scaling of the Hosking integral in decaying magnetically-dominated turbulence" by H. Zhou, R. Sharma, and A. Brandenburg. If anything turns out to be incomplete, please email hongzhe.zhou@sjtu.edu.cn and brandenb@nordita.org. </pre>
Decaying Turbulence in Molecular Clouds
<p><strong>Introduction</strong></p> <p>This data release contains a suite of 15 AREPO simulations of a spherical molecular clouds of mass <span class="math-tex">\(M=10^4\text{M}_\odot\)</span> and radius <span class="math-tex">\(R \approx 9\text{pc}\)</span> seeded with different types of decaying turbulence. The initial conditions for each simulation are different, with different turbulent modes: mixed turbulence, purely compressive, and purely solenoidal; and different Virial ratios: gravitationally underbound and overbound clouds.</p> <ul> </ul> <p><strong>Simulations</strong></p> <p>Each of the .zip archives contains a simulation. The simulation name is as follows: <em><Turbulent mode><RNG seed><Virial ratio></em> where:</p> <ul> <li>Turbulent mode can be: M = mixed, C = compressive, S = solenoidal.</li> <li>RNG seed used to generate the turbulence can be: 26, 57 and 90.</li> <li>The Virial ratio can be: <em>none</em> = Virial equilibrium (<span class="math-tex">\(\alpha_\text{vir}=1.0 \)</span>), O = overbound (<span class="math-tex">\(\alpha_\text{vir}=0.6\)</span>), U = underbound (<span class="math-tex">\(\alpha_\text{vir}=2.0\)</span>).</li> </ul> <p>Each simulation consists of:</p> <ul> <li>Four simulation snapshots, which are AREPO binary files, corresponding to the four epochs of interest: when total mass in sinks/stars is <span class="math-tex">\(250\text{M}_\odot\)</span>, <span class="math-tex">\(500\text{M}_\odot\)</span>, <span class="math-tex">\(750\text{M}_\odot\)</span>, <span class="math-tex">\(1000\text{M}_\odot\)</span>.</li> <li>Four density grids, corresponding to the four snapshots, which are ray-casted from the AREPO simulations.</li> <li>Four filament networks identified in the density grids using the tool DisPerSE.</li> </ul> <p><strong>Reading in the files</strong></p> <p>The simulations are easily read and analyzed using the code released as part of our study, called <span class="math-tex">\(\texttt{fiesta}\)</span>: <a href="http://fiesta-astro.readthedocs.io">fiesta-astro.readthedocs.io</a>.</p> <p><strong>Supplementary content</strong></p> <p>The data release also contains two animations: <a href="https://zenodo.org/api/files/8b207605-0b06-4a19-96ee-52a949578c77/2D_temporal_animation.mp4?versionId=40527056-ee88-4d31-91ca-5f0ead23557c">2D_temporal_animation.mp4</a> and <a href="https://zenodo.org/api/files/8b207605-0b06-4a19-96ee-52a949578c77/3D_sinkepoch_animation.mp4?versionId=5dbe181d-8963-4536-8667-938fda0ddcda">3D_sinkepoch_animation.mp4</a>, which are useful for visualizing the simulations.</p>
Gravitational waves from freely decaying turbulence: simulation visualisations
<p>Simulation visualisations to accompany the paper <em>Generation of gravitational waves from freely decaying turbulence</em>, <a href="https://arxiv.org/abs/2205.02588">arXiv:2205.02588</a>, which has been <a href="https://doi.org/10.1088/1475-7516/2022/09/029">published in JCAP</a>. The visualisations are provided in two formats.</p> <p>The visualisations correspond to simulations A' and D, as listed in Table 2 of the paper. The magnitude of the fluid 3-velocity is shown.</p>
Dataset and visualization of numerical simulations of decaying acoustic turbulence in three dimensions
<p>This dataset contains the time series and spectrum data for the 1000^3 resolution simulations featured in the paper: <em>Primordial acoustic turbulence: three-dimensional simulations and gravitational wave predictions</em> by Jani Dahl, Mark Hindmarsh, Kari Rummukainen, and David Weir. Also included are the various output files produced by the simulation code, the run files that can be used to reproduce the runs, and plots of the time series quantities, fluid snapshots, and movies of the longitudinal and transverse energy spectra.</p>
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