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This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "k-evolution: a relativistic N-body code for clustering dark energy" (https://arxiv.org/abs/1910.01104). This paper has also been published in JCAP which can be accessed at this link: https://iopscience.iop.org/article/10.1088/1475-7516/2019/12/011. Directories Analysis_notebooks_data: This directory includes the data and jupyter notebooks to reproduce the figures presented in the paper. codes: This directory contains the data generated as part of the project. supplementary: This directory contains the supplementary materials associated with the project. How to Use Download the files to your local machine. Navigate to the directory where the files are saved. Install the necessary packages Navigate to the "Analysis_notebooks_data" directory and open the Jupyter notebooks in your preferred environment. Run the cells in the notebooks to reproduce the figures. Navigate to the "codes" directory and use the appropriate code to generate and post-process the simulation data. Navigate to the "Analysis_notebooks_data" directory to access the simulation data. If you have any feedback or request feel free to email farbod.hassani@gmail.com
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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