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Published November 22, 2021 | Version v1.1
Software Open

SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

Creators

  • 1. Purdue University
  • 2. University of Rochester
  • 3. California Institute of Technology
  • 4. Université de Paris, CNRS
  • 5. Université Libre de Bruxelles
  • 6. Aix Marseille Université, CNRS/IN2P3
  • 7. University of North Carolina - Chapel Hill
  • 8. North Carolina State University
  • 9. University of Minnesota Duluth
  • 10. Laurentian University
  • 11. Virginia Polytechnic Institute and State University
  • 12. INFN Sezione di Padova
  • 13. Ruhr-Universität Bochum
  • 14. King's College London
  • 15. Stockholm University
  • 16. University of Houston
  • 17. Duke University
  • 18. Joint Institute for Nuclear Research, Dubna
  • 19. Oxford University
  • 20. Rice University
  • 21. Georgia Institute of Technology

Description

This version of SNEWPY was submitted to the Journal of Open Source Software (see pre-review and review). Many thanks to the reviewers and editors!

What's Changed since v1.0

  • Added multiple new models (Zha_2021, Fornax_2019, Fornax_2021, Tamborra_2014, Tamborra_2014, Walk_2018, Walk_2019)
  • Added new Togashi EOS simulation to Nakazato_2013 model
  • Easier interface to download available SN model files
  • Redesigned SNOwGLoBES interface (snewpy.snowglobes module)
  • SNEWPY is now available on PyPI via pip install snewpy
  • Added documentation on Read The Docs, improved example notebooks and scripts
  • Various minor bugfixes, performance and other improvements

SNEWPY now requires Python 3.7 or newer.

New Contributors

Full Changelog: https://github.com/SNEWS2/snewpy/compare/v1.0.0...v1.1

Files

SNEWS2/snewpy-v1.1.zip

Files (224.4 MB)

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Additional details

Related works

Is supplement to
https://github.com/SNEWS2/snewpy/tree/v1.1 (URL)