kuibit：使用Python分析Einstein Toolkit模拟
kuibit: Analyzing Einstein Toolkit simulations with Python
摘要：
在引力波天文学时代，对致密天体的广义相对论模拟扮演着至关重要的角色。这些计算可以使用爱因斯坦工具包进行，这是一个开源和社区支持的数值相对论和相对论天体物理学软件。该代码带有爱因斯坦方程和广义相对论磁流体力学方程的多个求解器，以及一系列有用的诊断。然而，分析Einstein Toolkit的输出可能是一项具有挑战性的任务。通常，这个过程涉及一系列技术障碍，例如组合不同重启的数据或使用HDF 5文件。在这里，我们介绍了kuibit，这是一个Python库，它负责所有这些低级细节（以及许多其他细节），并提供了数据的高级，直观的表示。Kuibit具有广泛的功能，包括完全支持1-3D ASCII和HDF 5网格数据，时间和频率序列，引力波和视地平线。使用kuibit，用户可以通过几行代码检查模拟的大部分内容。重要的是，kuibit被设计成一个社区代码：它是用户友好的，不需要任何专有软件来运行，它有文档和示例，它是开放开发的，强调可扩展性和可维护性。
英文摘要：
In the era of gravitational-wave astronomy, general-relativistic simulations of compact objects play a role of paramount importance. These calculations can be performed with the Einstein Toolkit, an open-source and community-supported software for numerical-relativity and relativistic astrophysics. The code comes with multiple solvers for Einstein's equations and for the equations of general-relativistic magneto-hydrodynamics, along with a series of useful diagnostics. However, analyzing the output of the Einstein Toolkit can be a challenging task. Usually, the process involves a series of technical obstacles, like combining data from different restarts or working with HDF5 files. Here, we present kuibit, a Python library that takes care of all these low-level details (and many other more) and that provides high-level, intuitive, representations of the data. Kuibit ships with a wide range of features that include full support for 1-3D ASCII and HDF5 grid data, time and frequency series, gravitational waves, and apparent horizons. With kuibit, users can inspect most of the content of a simulation with just a few lines of code. Importantly, kuibit is designed to be a code for the community: it is user-friendly and does not require any proprietary software to run, it has documentation and examples, and it is openly developed with emphasis on extensibility and maintainability.
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。
