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SuperLFV: An SLHA tool for lepton flavor violating observables in supersymmetric models

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Mendeley Data2023-02-23 更新2024-06-26 收录
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Abstract We introduce SuperLFV, a numerical tool for calculating low-energy observables that exhibit charged lepton flavor violation (LFV) in the context of the minimal supersymmetric standard model (MSSM). As the Large Hadron Collider and MEG, a dedicated ^(μ+)→^(e+)γ experiment, are presently acquiring data, there is need for tools that provide rapid discrimination of models that exhibit LFV. SuperLFV accepts a spectrum file compliant with the SUSY Les Houches Accord (SLHA), containing the MSSM ... Title of program: SuperLFV Catalogue Id: AERD_v1_0 Nature of problem In the era of the Large Hadron Collider, the ability to automate rapid model discrimination is needed. Dedicated experimental searches for charged lepton flavor violation (LFV) are currently operational with next generation experiments on the horizon. Generically, extensions of the standard model, including supersymmetric models, will induce LFV, such as rare muon (tau) decay. No single tool should bear the burden of providing all conceivable calculations within a certain model. Hence, it is war ... Versions of this program held in the CPC repository in Mendeley Data AERD_v1_0; SuperLFV; 10.1016/j.cpc.2013.09.024 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

摘要 我们介绍SuperLFV,一款用于计算低能可观测量的数值工具,这类可观测量在最小超对称标准模型(minimal supersymmetric standard model, MSSM)框架下展现了带电轻子味破缺(charged lepton flavor violation, LFV)现象。随着大型强子对撞机(Large Hadron Collider, LHC)以及专门的μ⁺→e⁺γ实验MEG目前正在采集数据,亟需能够快速甄别带有轻子味破缺特征的模型的工具。SuperLFV可接收符合超对称莱斯胡歇协定(SUSY Les Houches Accord, SLHA)的能谱文件,该文件包含最小超对称标准模型的…… 程序名称:SuperLFV 目录编号:AERD_v1_0 问题本质 大型强子对撞机时代亟需实现快速模型甄别的自动化能力。当前针对带电轻子味破缺的专属实验搜索已投入运行,下一代实验也已提上日程。一般而言,标准模型的拓展理论(包括超对称模型)都会诱导轻子味破缺现象,例如罕见的μ子(τ子)衰变。不存在单一工具能够承担某一模型下所有可设想的计算任务,因此…… 本程序在Mendeley数据的CPC知识库中的版本为:AERD_v1_0; SuperLFV; 10.1016/j.cpc.2013.09.024 本程序源自贝尔法斯特女王大学所维护的CPC程序库(1969-2019年)
创建时间:
2020-01-07
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