munuSSM: A python package for the $\mu$-from-$\nu$ Supersymmetric Standard Model

Abstract

We present the public python package munuSSM that can be used for phenomenological studies in the context of the $\mu$-from-$\nu$ Supersymmetric Standard Model ($\mu \nu$SSM). The code incorporates the radiative corrections to the neutral scalar potential at the full one-loop level. Sizable higher-order corrections, required for an accurate prediction of the SM-like Higgs-boson mass, can be consistently included via an automated link to the public code FeynHiggs. In addition, a calculation of effective couplings and branching ratios of the neutral and charged Higgs bosons is implemented. This provides the required ingredients to check a benchmark point against collider constraints from searches for additional Higgs bosons via an interface to the public code HiggsBounds. At the same time, the signal rates of the SM-like Higgs boson can be tested applying the experimental results implemented in the public code HiggsSignals. The python package is constructed in a flexible and modular way, such that it provides a simple framework that can be extended by the user with further calculations of observables and constraints on the model parameters.

arXiv comment38 pages, 12 tables, model implementation based on arXiv:1906.06173, v2: Example analysis extended, matches published version in CPC

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Cited by in corpus (6)

• Higgs-mass predictions in the MSSM and beyond
• The new $(g-2{)}_{\mu }$ result and the $\mu \nu$SSM
• Vacuum (meta-)stability in the $\mu \nu$SSM
• Explaining muon $g-2$ data in the $\mu \nu$SSM
• Searching for Gluino LSP at the LHC
• Searching for stop LSP at the LHC