A new non-linear instability for scalar fields

<p>This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled &quot;A new non-linear instability for scalar fields&quot; (<a href="https://arxiv.org/abs/2107.14215">https://arxiv.org/abs/2107.14215</a>).</p> <p><br> This paper has also been published as a <em>letter&nbsp;</em>in Physical Review D and can be found in Volume 105, Issue 2, article id.L021304, which can be accessed at this link:&nbsp;<a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.105.L021304">https://journals.aps.org/prd/abstract/10.1103/PhysRevD.105.L021304</a>.&nbsp;</p> <p>Directories</p> <ul> <li><strong>Codes</strong>: This directory contains different codes used to generate and post-process the simulation data, including k-evolution and Latfield2.</li> <li><strong>Simulations_data</strong>: This directory includes the data for the scalar field snapshots, information about the average of the scalar field, and&nbsp;power spectra.</li> <li><strong>Figure_notebooks</strong>: This directory includes Jupyter notebooks to reproduce the figures presented in the paper.</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>Figure_notebooks</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;codes&quot; directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the &quot;data&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>