v1.4

What's Changed

• Adds basic support for SNEWPY v1.5 including the Fornax_2022 and Mori_2023 models (#57)
• Fixes issue where an incomplete metadata file was written when generating events for JUNO in verbose mode (#56)
• Moved sntools repository to SNEWS2 org on GitHub (#54)

Full Changelog: v1.3...v1.4

v1.3

What's Changed

• Adds support for the JUNO detector by @mcolomermolla in #48
• Improves installation speed under Python 3.11 by @JostMigenda in #50
• This version requires Python 3.8 or higher

New Contributors

• @mcolomermolla made their first contribution in #48

Full Changelog: v1.2...v1.3

v1.2

What's Changed

• Adding SNO+ and proton scattering to sntools by @svalder in #41
• snewpy 1.3 support and other version updates by @JostMigenda in #45

New Contributors

• @svalder made their first contribution in #41

Full Changelog: v1.1...v1.2

v1.1

What's Changed

• Adds support for Fornax_2021, Tamborra_2014, Walk_2018 and Walk_2019 models via SNEWPY (#40)
• This version requires Python 3.7 or higher

Full Changelog: v1.0.1...v1.1

v1.0.1

What's Changed

• fixes a crash when using a SNEWPY model (#39)

Full Changelog: v1.0...v1.0.1

v1.0

What's Changed

v1.0 is a major new release of sntools with two headlining features:

• parallelize event generation (#31): On multi-core machines, sntools can now generate events for different channels in parallel. Depending on input parameters, this makes it up to 3.5× faster.
• SNEWPY integration (#32): Adds support for five additional flavor transformations and six additional input formats for supernova models.
• Additionally, a lot of code was modernized and cleaned up. This leads to some additional performance improvements in --verbose mode and should ensure clearer debug output and error messages when developing or extending sntools.

Compatibility Notes

• This version requires Python 3.6 or higher (#29).
• To add multi-core support, I needed to change how the random number generator is seeded. Therefore, using the --randomseed argument under v1.0 generates a different output file than using the same random seed under v0.7.x.
• The --ordering (or --hierarchy) argument was deprecated in favor of --transformation. When using the old argument, sntools will automatically translate it to the new argument and print out a warning message explaining how to use the new argument in the future.

Full Changelog: v0.7.4...v1.0

v1.0b2

Changes compared to v1.0b1:

• SNEWPY is now installed automatically when running pip install sntools
• improved performance when using a supernova model from SNEWPY

v1.0b1

v1.0 will be a major new release of sntools with two headlining features:

• parallelize event generation (#31): On multi-core machines, sntools can now generate events for different channels in parallel. Depending on input parameters, this makes it up to 3.5× faster.
• SNEWPY integration (#32): Adds support for five additional flavor transformations and six additional input formats for supernova models.
  • Note: At the moment, SNEWPY needs to be installed manually to get access to the neutrino fluxes included in the repository.
• Additionally, a lot of code was modernized and cleaned up. This leads to some additional performance improvements in --verbose mode and should ensure clearer debug output and error messages when developing or extending sntools.

Compatibility notes:

• This version drops support for all Python versions prior to 3.6 (#29).
• To add multi-core support, I needed to change how the random number generator is seeded. Therefore, using the --randomseed argument under v1.0 generates a different output file than using the same random seed under v0.7.x.
• The --ordering (or --hierarchy) argument was deprecated in favor of --transformation. When using the old argument, sntools will automatically translate it to the new argument and print out a warning message explaining how to use the new argument in the future.

v0.7.4

• fixed numerical issue in O16-CC cross sections (#25)
• added deprecation warning on Python <3.6 (#29)
• documented how to use sntools as a cross section library (#27)

v0.7.3

• added final version of JOSS paper to documentation folder