AtomNeb：用于电离星云原子数据的IDL库与Python包
AtomNeb: IDL Library and Python Package for Atomic Data of Ionized Nebulae
AI总结：
本文介绍AtomNeb数据库及其IDL库和Python包，用于存储电离星云碰撞激发线与复合线的原子数据，并结合proEQUIB/pyEQUIB实现等离子体诊断与丰度分析。
摘要：
电离星云发射的光谱通常包含碰撞激发线和复合线，这些谱线可用于追踪我们银河系及其他星系中星际介质的物理条件和化学丰度。“AtomNeb”是一个以灵活图像传输系统（FITS）文件格式存储原子数据的数据库，其中包括星云天体物理学中经常观测到的碰撞激发线和复合线的数据。AtomNeb接口库配备了若干应用程序编程接口（API）函数，这些函数以交互式数据语言（IDL）开发，也可在GNU数据语言（GDL）以及高级通用编程语言Python中使用。IDL库依赖于IDL Astronomy User's库中与FITS文件相关的IDL过程，而Python包则依赖于Python包Astropy和NumPy。AtomNeb IDL库及相应的Python包，分别与“proEQUIB”IDL库和“pyEQUIB”Python包结合使用，可用于对电离气体星云的发射线进行等离子体诊断和丰度分析。
英文摘要：
Spectra emitted from ionized nebulae typically contain collisionally excited and recombination lines, which can be used to trace physical conditions and chemical abundances of the interstellar medium in our Galaxy and other galaxies. "AtomNeb" is a database containing atomic data stored in the Flexible Image Transport System (FITS) file format, including the data for collisionally excited and recombination lines often observed in nebular astrophysics. The AtomNeb interface library is equipped with several application programming interface (API) functions developed in the Interactive Data Language (IDL), also usable in the GNU Data Language (GDL), and in the high-level, general-purpose programming language Python. The IDL library relies on the FITS file-related IDL procedures from the IDL Astronomy User's library, while the Python package depends on the Python packages Astropy and NumPy. The AtomNeb IDL library and the corresponding Python package, in conjunction with the "proEQUIB" IDL library and "pyEQUIB" Python package, respectively, can be used to perform plasma diagnostics and abundance analysis of emission lines from ionized gaseous nebulae.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
