k-evolution: a relativistic N-body code for clustering dark energy

<p>This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled &quot;k-evolution: a relativistic N-body code for clustering dark energy&quot; (<a href="https://arxiv.org/abs/1910.01104">https://arxiv.org/abs/1910.01104</a>).</p> <p><br> This paper has also been published in JCAP&nbsp;which can be accessed at this link:&nbsp;<a href="https://iopscience.iop.org/article/10.1088/1475-7516/2019/12/011">https://iopscience.iop.org/article/10.1088/1475-7516/2019/12/011</a>.</p> <p>Directories</p> <ul> <li><strong>Analysis_notebooks_data</strong>: This directory includes the data and jupyter notebooks to reproduce the figures presented in the paper.</li> <li><strong>codes</strong>: This directory contains the data generated as part of the project.</li> <li><strong>supplementary</strong>: This directory contains the supplementary materials associated with the project.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the &quot;<strong>Analysis_notebooks_data</strong>&quot; directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the &quot;<strong>codes</strong>&quot; directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the &quot;<strong>Analysis_notebooks_data</strong>&quot; directory to access the simulation data.</li> </ol> <p><br> If you have any feedback or request feel free to email farbod.hassani@gmail.com</p>