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Python code to apply topological data analysis on dark-matter simulations

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Persistent Homology on Halos (PHoH)

This project is a study of the connectivity of dark matter halos in N-body simulations of the cosmic web. The main mathematical formalisms that are used for this study are Graph Theory (Minimum Spanning Tree) and Persistent Homology.

Dependencies

The following libraries need to be installed for the code to work: numpy, scipy, pandas, scikitlearn gudhi.

Use the package manager pip to install any of these libraries if needed.

pip install numpy
...
pip install scikitlearn
pip install gudhi

Authors

The current collaborators of this project are Georg Wilding, Rien van de Weijgaert, Bernarnd Jones.

Usage

So far the usage of this project is minimal, and therefore there are no examples. This section will be updated when enough progress has been made.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

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Python code to apply topological data analysis on dark-matter simulations

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