snewpy 1.4b1

A Python package for working with supernova neutrinos

SNEWPY: Supernova Neutrino Early Warning Models for Python

SNEWPY is a Python package for working with supernova neutrinos. It offers …

• … a simple and unified interface to hundreds of supernova simulations.
• … a large library of flavor transformations that relate neutrino fluxes produced in the supernova to those reaching a detector on Earth.
• … and a Python interface to SNOwGLoBES which lets you estimate and plot event rates in many different neutrino detectors.

Installation

For Users

Run pip install snewpy to install SNEWPY.

SNEWPY includes a large number of supernova models from different simulation groups. Since these models have a size of several 100 MB, they are not included in the initial install. Instead, after installing, run the following command to download models you want to use:

python -c 'import snewpy; snewpy.get_models()'

By default, they will be downloaded to a subdirectory named SNEWPY-models/<model_name>/ in the current directory.

For Developers

Your contributions to SNEWPY are welcome! For minor changes, simply submit a pull request. If you plan larger changes, it’s probably a good idea to open an issue first to coordinate our work.

To contribute, first clone the repository (git clone https://github.com/SNEWS2/snewpy.git), then make changes and install your modified version locally using pip install . from the base directory of the repository. Once you’re happy with your changes, please submit a pull request. Unit tests will run automatically for every pull request or you can run them locally using python -m unittest python/snewpy/test/test_*.py.

Usage and Documentation

Example scripts which show how SNEWPY can be used are available in the python/snewpy/scripts/ subfolder as well as notebooks in doc/nb/. Most downloadable models also include a Jupyter notebook with simple usage examples.

A paper describing SNEWPY and the underlying physics is available at arXiv:2109.08188.

For more, see the full documentation on Read the Docs.