pyPetrov

Local Petrov type classification for arbitrary spacetimes.
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact

About The Project

pyPetrov is a project focused on the classification of arbitrary spacetimes, either analytical or numerical. Providing the psi scalars in a given point the code classify the approximate Petrov type, with a set of indexes. These indexes construct a notion of distance that let us know when a spacetime is near of being a certain type (type D for example). This notion is better suited for numerical spacetimes when we don't have any exact symmetry.

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Built With

The project is built with python, with the help of the following libraries.

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Getting Started

To classificate a new spacetime, the psi scalars should be place in the .

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

Usage

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Roadmap

• Add more spacetimes
  • Kerr
  • Bianchi Universe
  • Regge-Wheeler
  • Teukolsky
• Add Numerical spacetime example

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Contributing

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Project Link: https://github.com/Emmatassone/power-spectrum-classification

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Acknowledgments

E.A.T want to thanks the grant RIT-COS 2021-DRIG for the financial support.

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