2020/03/31 by Simon May
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dark Matter and Cosmic Phenomena #Dark matter #Electroweak interaction #Particle physics #Particle physics theoretical and experimental studies #Physics #Theoretical physics #hep-ph #physics.comp-ph
paper · pdf · doi:10.1016/j.cpc.2020.107773
published as Computer Physics Communications 261C (2021) 107773 · 40 pages, 1 figure; version accepted by and published in CPC; code is available at https://gitlab.com/Socob/minimal-lagrangians
openalex publication_date 2020/12/13 · arxiv created 2021/01/06 · arxiv updated 2021/01/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
minimal-lagrangians is a Python program which allows one to specify the field content of an extension of the Standard Model of particle physics and, using this information, to generate the most general renormalizable Lagrangian that describes such a model. As the program was originally created for the study of minimal dark matter models with radiative neutrino masses, it can handle additional scalar or Weyl fermion fields which are SU(3)C singlets, SU(2)L singlets, doublets or triplets, and can have arbitrary U(1)Y hypercharge. It is also possible to enforce an arbitrary number of global U(1) symmetries (with ℤ2 as a special case) so that the new fields can additionally carry such global charges. In addition to human-readable and \LaTeX output, the program can generate SARAH model files containing the computed Lagrangian, as well as information about the fields after electroweak symmetry breaking (EWSB), such as vacuum expectation values (VEVs) and mixing matrices. This capability allows further detailed investigation of the model in question, with minimal-lagrangians as the first component in a tool chain for rapid phenomenological studies of "minimal" dark matter models requiring little effort and no unnecessary input from the user.