HyperIso：一种用于味物理可观测量的通用BSM计算器
HyperIso: A general BSM calculator for flavour observables
AI总结：
HyperIso是用于评估多种SM和BSM情景下味物理可观测量的程序，基于SuperIso构建，有多种接口，能自动计算BSM威尔逊系数，支持多种衰变和μ子反常磁矩的评估，提供灵活可扩展工具。
AI中文摘要：
我们展示了HyperIso，这是一个用于评估各种标准模型（SM）和标准模型之外（BSM）情景下味物理可观测量的全新独立程序。该代码基于SuperIso的物理遗产构建，但作为一个具有现代C++核心和多个用户界面的新模块化软件包实现。除了对如SM、一般双希格斯二重态模型（THDM）和超对称模型等既定情景的原生实现外，HyperIso还与MARTY框架接口，以自动计算主导阶的BSM威尔逊系数。这种设计使得在通用后端进行可观测量计算、不确定性传播和统计解释的同时，能够研究用户定义的BSM模型。该软件提供C++、Python、命令行和图形界面。它支持对关键可观测量的评估，如辐射、轻子和半轻子B衰变以及相关的K介子和D介子衰变的分支比（如有）和角可观测量，以及μ子反常磁矩（g - 2）。输入可以通过JSON/YAML配置文件和Les Houches Accord文件提供，这些文件可由用户提供或由外部谱计算器生成。因此，HyperIso为味研究、唯象扫描和BSM情景的验证提供了一个灵活且可扩展的工具。
英文摘要：
We present HyperIso, a new standalone program for the evaluation of flavour physics observables across a wide variety of Standard Model (SM) and Beyond-the-Standard-Model (BSM) scenarios. The code builds on the physics heritage of SuperIso, but is implemented as a new modular software package with a modern C++ core and multiple user interfaces. In addition to native implementations for established scenarios such as the SM, the general Two-Higgs-Doublet Model (THDM), and supersymmetric models, HyperIso interfaces with the MARTY framework to compute automatically BSM Wilson coefficients at leading order. This design makes it possible to study user-defined BSM models while keeping the observable calculation, uncertainty propagation and statistical interpretation in a common backend. The software provides C++, Python, command-line and graphical interfaces. It supports the evaluation of key observables such as the branching ratios and, where available, angular observables, for radiative, leptonic, and semileptonic B decays, as well as for the relevant kaon and D-meson decays, together with the muon anomalous magnetic moment (g-2). The inputs can be provided through JSON/YAML configuration files and Les Houches Accord files, either supplied by the user or generated by external spectrum calculators. HyperIso therefore provides a flexible and extensible tool for flavour studies, phenomenological scans and the validation of BSM scenarios.
