GIST管道：（积分场）光谱数据分析和可视化的多用途工具
The GIST Pipeline: A Multi-Purpose Tool for the Analysis and Visualisation of (Integral-field) Spectroscopic Data
摘要：
我们提出了一个方便的，所有功能于一身的框架，充分减少，（积分场）光谱数据的科学分析。GIST管道（Galaxy IFU光谱工具）完全用Python 3编写，并执行从输入数据准备到科学分析到生成出版质量图的所有步骤。在其基本设置中，它提取恒星运动学，执行发射线分析，并通过全光谱拟合以及通过利用众所周知的pPXF和GandALF例程测量吸收线强度指数来导出恒星星族属性，其中后者现已在Python中实现。该流水线不特定于任何仪器或分析技术，并提供了修改和进一步开发的简单方法，如其模块化代码架构。一个精心设计的Python原生并行化在各种机器上实现和测试。该软件还具有一个专用的可视化例程，具有复杂的图形用户界面。这使得所有测量，光谱，拟合和残差，以及恒星形成历史和模型的权重分布的简单，完全交互式的绘图。该管道已成功应用于MUSE、PPAK（CALIFA）和SINFONI的低和高红移数据，以及HARMONI@ELT和WEAVE的模拟数据，目前正被TIMER、Fornax 3D和PHANGS合作使用。我们证明了它的能力，将其应用到NGC 1433的MUSE TIMER观测。
英文摘要：
We present a convenient, all-in-one framework for the scientific analysis of fully reduced, (integral-field) spectroscopic data. The GIST pipeline (Galaxy IFU Spectroscopy Tool) is entirely written in Python3 and conducts all steps from the preparation of input data, over the scientific analysis to the production of publication-quality plots. In its basic setup, it extracts stellar kinematics, performs an emission-line analysis and derives stellar population properties from full spectral fitting as well as via the measurement of absorption line-strength indices by exploiting the well-known pPXF and GandALF routines, where the latter has now been implemented in Python. The pipeline is not specific to any instrument or analysis technique and provides easy means of modification and further development, as of its modular code architecture. An elaborate, Python-native parallelisation is implemented and tested on various machines. The software further features a dedicated visualization routine with a sophisticated graphical user interface. This allows an easy, fully-interactive plotting of all measurements, spectra, fits, and residuals, as well as star formation histories and the weight distribution of the models. The pipeline has successfully been applied to both low and high-redshift data from MUSE, PPAK (CALIFA), and SINFONI, as well as to simulated data for HARMONI@ELT and WEAVE and is currently being used by the TIMER, Fornax3D, and PHANGS collaborations. We demonstrate its capabilities by applying it to MUSE TIMER observations of NGC 1433.
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