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Orbit propagation and analysis tool.

Project description

Hypernova 🌠

PyPi Version PyPi Downloads License

Re-implementation of the Supernova orbit propagator in a faster and more accessible package.

Hypernova is a fast orbit propagator implemented in C and wrapped for Python, designed for the University of Toronto Aerospace Team's FINCH mission. FINCH orbits in a 550 km Sun-Synchronous orbit, and as such the solvers and physics models used by Hypernova were selected for the best simulation fidelity in a low-Earth orbit.

Installation

From PyPI (recommended)

Hypernova is on PyPI as hypernova-orbit. Install using the following command:

pip install hypernova-orbit

Note that a C compiler is required on your system in order for the C backend to be built.

From GitHub

You can install Hypernova from source as a Python package using the following command:

pip install git+https://github.com/spacesys-finch/hypernova

This will let you get the most cutting-edge builds of Hypernova before they're pushed to PyPI.

Compatibility

Hypernova uses cffi to wrap a fast C backend into easier-to-access functions in Python. The C backend does not come pre-compiled, and instead requires a compiler on the system to compile modules at install time. Hypernova is designed to automate this process, and it has been tested on the following operating systems:

  • Windows 10 (x86)
  • Ubuntu 20.04 LTS (x86)
  • MacOS 12 (M1)

If you have issues installing Hypernova on your computer, please open an issue!

Demos

Hypernova comes with a few examples which you can run.

Basic Orbit and Plot

python -m hypernova.examples.basic_orbit_and_plot

This will generate the following output: Demo Image

Testing Suite

Hypernova is equipped with a testing suite to validate its functionality. The way to run the testing suite is to copy the scripts from the /tests folder into your working path and run pytest from your command terminal.

Project details


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Source Distribution

hypernova-orbit-0.2.0.tar.gz (61.1 kB view hashes)

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hypernova_orbit-0.2.0-cp310-cp310-win_amd64.whl (36.9 kB view hashes)

Uploaded CPython 3.10 Windows x86-64

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