Published June 20, 2024 | Version v0.2.0
Software Open

FlavorPy 0.2.0

Authors/Creators

  • 1. ROR icon Technical University of Munich
  • 2. ROR icon Universidad Nacional Autónoma de México

Description

FlavorPy is a Python library for calculations around discrete flavor symmetries. These symmetries are a promising approach to the flavor puzzle of the Standard Model of particle physics. FlavorPy is split into two modules:

  • The constructterms part allows you to calculate group theoretical tensor products and therefore find the invariant terms in the action.

  • The modelfitting part is concerned with fitting a model to experimental data. It allows you to construct a flavor-model from the mass matrices that depend on various parameters, and scan the associated parameter space. By applying various minimization algorithms FlavorPy enables you to obtain the point in parameterspace that best matches the experimental data for the fermion masses and the mixing angles of the CKM and PMNS matrices.

 

New in version 0.2.0:

  • Added MCMC method
  • Added Quark models
  • Unified QuarkModel and LeptonModel to FlavorModel
  • Added more examples
  • Added NuFit v5.3 experimental data
  • Added plotting utils and green-yellow-orange colormap
  • Added deepcopy to all classes
  • Bug fixed with file name for experimental data
  • Bug fixed with Clebsch Gordans in ConstructTerms

Files

FlavorPy/FlavorPy-v0.2.0.zip

Files (48.8 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/FlavorPy/FlavorPy/tree/v0.2.0 (URL)

Software

Repository URL
https://github.com/FlavorPy/FlavorPy
Development Status
Active

References