论文标题
用Python挖掘泥：Mudpy，Bdata和Bfit
Digging Into MUD With Python: mudpy, bdata, and bfit
论文作者
论文摘要
MUON数据（MUD）文件格式用于存储$μ$ SR测量结果的结果，是一种有用且灵活的方案，既轻量级又自我描述。这些文件的应用程序编程接口（API）用C和Fortran编写，语言以其易用性而闻名。相反，Python是一种强调快速原型和可读性的语言。这项工作描述了三个Python 3包，以与泥浆文件接口并分析其内容：Mudpy，Bdata和Bfit。首先可以轻松访问任何泥浆文件的内容。后两个专门针对Triumf的植入式ION $β$检测的NMR（$β$ -NMR）实验实施。这些工具同时提供API和图形用户界面（GUI），以帮助用户提取并适合$β$ -NMR数据。
Used to store the results of $μ$SR measurements at TRIUMF, the Muon Data (MUD) file format serves as a useful and flexible scheme that is both lightweight and self-describing. The application programming interface (API) for these files is written in C and FORTRAN, languages not known for their ease of use. In contrast, Python is a language which emphasizes rapid prototyping and readability. This work describes three Python 3 packages to interface with MUD files and analyze their contents: mudpy, bdata, and bfit. The first enables easy access to the contents of any MUD file. The latter two are implemented specifically for the implanted-ion $β$-detected NMR ($β$-NMR) experiment at TRIUMF. These tools provide both an API and graphical user interface (GUI) to help users extract and fit $β$-NMR data.
