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

TL;DR

munuSSM is a Python package designed for detailed phenomenological analysis of the $mbda$-from-$ u$ Supersymmetric Standard Model, including Higgs mass calculations, couplings, and collider constraints.

Contribution

It provides a comprehensive, modular Python tool for studying the $mbda$-from-$ u$SSM with radiative corrections, collider constraints, and compatibility with existing public codes.

Findings

Includes full one-loop radiative corrections to the scalar potential.

Automated interface with FeynHiggs, HiggsBounds, and HiggsSignals.

Flexible framework for extending phenomenological analyses.

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.