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munuSSM: A python package for the μ-from-ν Supersymmetric Standard Model
Computer Physics Communications ( IF 6.3 ) Pub Date : 2021-03-10 , DOI: 10.1016/j.cpc.2021.107935
Thomas Biekötter

We present the public python package munuSSM that can be used for phenomenological studies in the context of the μ-from-ν Supersymmetric Standard Model (μνSSM). The code incorporates the radiative corrections to the neutral scalar potential at 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.

Program summary

Program title: munuSSM

CPC Library link to program files: https://doi.org/10.17632/s7r25zcpcy.1

Developer’s repository link: https://gitlab.com/thomas.biekoetter/munussm

Licensing provisions: GPLv3

Programming language: Fortran, Python

Nature of problem: We present a programme to analyse the Higgs sector of an extension of the Standard Model (SM) called the μ-from-ν Supersymmetric Standard Model (μνSSM). Based on the precise theoretical prediction of the scalar spectrum and the couplings of the Higgs bosons, the goal is to confront the model with experimental constraints. The programme provides an easy-to-use framework to compute further model predictions by making use of the already existing implementation.

Solution method: The radiative corrections to the neutral scalar masses are calculated at full one-loop level. For an accurate prediction of the SM-like Higgs boson, sizable higher-order corrections are included in an approximate form. The calculation of cross sections and branching ratios to SM particles is implemented by rescaling the SM predictions with effective coupling coefficients. Exotic decays of the Higgs bosons are computed at tree level. Based on these ingredients, a parameter point can be checked against constraints from collider experiments.



中文翻译:

munuSSM:的python软件包 μ-从-ν 超对称标准模型

我们介绍了可用于现象学研究的公共python软件包munuSSMμ-从-ν 超对称标准模型(μνSSM)。该代码在完整的单循环水平上将辐射校正合并到中性标量电势。可以通过自动链接到公共代码FeynHiggs来一致地包含对像SM的希格斯玻色子质量的精确预测所需的大量高阶校正。此外,还进行了中性和带电希格斯玻色子的有效耦合和支化比的计算。这提供了必要的成分,以通过与公共代码HiggsBounds的接口搜索其他希格斯玻色子来检查基准点是否受到对撞机约束。同时,可以使用公共代码HiggsSignals中实现的实验结果来测试类似SM的希格斯玻色子的信号速率。python软件包以灵活和模块化的方式构建,因此它提供了一个简单的框架,用户可以通过扩展该框架,进一步进行可观察值的计算和模型参数的约束。

计划摘要

程序标题: munuSSM

CPC库链接到程序文件: https : //doi.org/10.17632/s7r25zcpcy.1

开发人员的资料库链接: https : //gitlab.com/thomas.biekoetter/munussm

许可条款: GPLv3

编程语言:Fortran,Python

问题的性质:我们提供了一个程序,用于分析标准模型(SM)扩展的希格斯部分。μ-从-ν 超对称标准模型(μνSSM)。基于标量频谱和希格斯玻色子耦合的精确理论预测,目标是使模型面对实验约束。该程序提供了一个易于使用的框架,可以通过利用现有的实现来计算进一步的模型预测。

求解方法:对中性标量质量的辐射校正是在完整的一回路水平下计算的。为了准确预测类似SM的希格斯玻色子,以近似形式包含了较大的高阶校正。通过使用有效耦合系数重新缩放SM预测,可以实现对SM粒子的横截面和分支比的计算。希格斯玻色子的外来衰变是在树级别计算的。基于这些成分,可以根据对撞机实验的约束来检查参数点。

更新日期:2021-03-21
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