论文标题
最小拉格朗日人:生成和研究暗物质模型的拉格朗日人,只有粒子含量
minimal-lagrangians: Generating and studying dark matter model Lagrangians with just the particle content
论文作者
论文摘要
Minimal-Lagrangians是一个Python程序,它允许一个人指定粒子物理标准模型的扩展的场内容,并使用此信息来生成描述这种模型的最通用的可重新分配的Lagrangian。由于该程序最初是为了研究具有辐射性中微子质量的最小暗物质模型而创建的,因此它可以处理额外的标量或Weyl fermion领域,即$ \ Mathrm {surm {su}(3)_ {\ Mathrm {c}} $ \ Mathrm {surm {su}(su su}(2)_ {三胞胎,并且可以具有任意$ \ mathrm {u}(1)_ {\ mathrm {y}} $ HyperCharge。还可以执行任意数量的全局$ \ mathrm {u}(1)$ symmetries(具有$ \ mathbb {z} _2 $作为特殊情况),以便新的字段还可以携带此类全球费用。除了人类可读和$ \ mathrm {\ latex} $输出外,该程序还可以生成包含计算的Lagrangian的Sarah模型文件,以及有关Electroweak Symmetry Breaking(EWSB)之后的磁场的信息,例如真空期望值(VEVS)和混合矩阵。该功能允许对所讨论的模型进行进一步详细的研究,最小的拉格朗日人是工具链中的第一个组成部分,用于快速对“最小”暗物质模型的现象学研究,几乎不需要努力,并且没有用户不必要的投入。
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 $\mathrm{SU}(3)_{\mathrm{C}}$ singlets, $\mathrm{SU}(2)_{\mathrm{L}}$ singlets, doublets or triplets, and can have arbitrary $\mathrm{U}(1)_{\mathrm{Y}}$ hypercharge. It is also possible to enforce an arbitrary number of global $\mathrm{U}(1)$ symmetries (with $\mathbb{Z}_2$ as a special case) so that the new fields can additionally carry such global charges. In addition to human-readable and $\mathrm{\LaTeX}$ 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.