SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

Jupyter Notebook Python Submitted 13 September 2021 • Published 27 November 2021
Software repository Paper review Download paper Software archive
Review

Editor: @dfm (all papers)
Reviewers: @apizzuto (all reviews), @PeterDenton (all reviews)

Authors

Amanda L. Baxter, Segev BenZvi (0000-0001-5537-4710), Joahan Castaneda Jaimes, Alexis Coleiro, Marta Colomer Molla (0000-0003-1801-8121), Damien Dornic, Spencer Griswold (0000-0002-7321-7513), Tomer Goldhagen, Anne Graf, Alec Habig (0000-0002-1018-9383), Remington Hill, Shunsaku Horiuchi (0000-0001-6142-6556), James P. Kneller (0000-0002-3502-3830), Mathieu Lamoureux (0000-0002-8860-5826), Rafael F. Lang (0000-0001-7594-2746), Massimiliano Lincetto (0000-0002-1460-3369), Jost Migenda (0000-0002-5350-8049), McKenzie Myers (0000-0002-2901-9173), Evan O'Connor, Andrew Renshaw (0000-0003-2913-8057), Kate Scholberg (0000-0002-7007-2021), Andrey Sheshukov (0000-0001-5128-9279), Jeff Tseng (0000-0003-1731-5853), Christopher Tunnell (0000-0001-8158-7795), Navya Uberoi, Arkin Worlikar

Citation

Baxter et al., (2021). SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals. Journal of Open Source Software, 6(67), 3772, https://doi.org/10.21105/joss.03772

@article{Baxter2021, doi = {10.21105/joss.03772}, url = {https://doi.org/10.21105/joss.03772}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {67}, pages = {3772}, author = {Amanda L. Baxter and Segev BenZvi and Joahan Castaneda Jaimes and Alexis Coleiro and Marta Colomer Molla and Damien Dornic and Spencer Griswold and Tomer Goldhagen and Anne Graf and Alec Habig and Remington Hill and Shunsaku Horiuchi and James P. Kneller and Mathieu Lamoureux and Rafael F. Lang and Massimiliano Lincetto and Jost Migenda and McKenzie Myers and Evan O'Connor and Andrew Renshaw and Kate Scholberg and Andrey Sheshukov and Jeff Tseng and Christopher Tunnell and Navya Uberoi and Arkin Worlikar}, title = {SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

astronomy supernova neutrinos

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066