论文标题
CWITOOLS：宇宙网络成像器仪器的Python3数据分析管道
CWITools: A Python3 Data Analysis Pipeline for the Cosmic Web Imager Instruments
论文作者
论文摘要
Palomar Cosmic Web Imager（PCWI）和Keck Cosmic Web Imager（KCWI）分别是Palomar天文台的Hale 5M望远镜和W. M. Keck天文台的Keck-2 100M望远镜上的整体场光谱仪。近年来，这些工具越来越多地用于进行调查工作。特别是在高红移处关注着海洋和白术培养基。从三维IFU数据中提取微弱的信号是一项复杂的任务，对于没有适当工具的大型样品来说，很难变得非常困难。我们提出CWITOOLS，这是一种用Python3编写的软件包，用于PCWI和KCWI数据分析。 CWITOOLS旨在在标准仪器数据还原管道的输出和科学产品（例如表面亮度图，光谱，速度图）以及各种相关模型和测量范围之间提供管道。虽然该软件包是专门为PCWI和KCWI数据设计的，但该软件包是开源的，可以适应以适应任何三维集成场光谱数据。在这里，我们描述了该管道，即单个步骤背后的方法并提供示例应用程序。
The Palomar Cosmic Web Imager (PCWI) and Keck Cosmic Web Imager (KCWI) are integral-field spectrographs on the Hale 5m telescope at Palomar Observatory and the Keck-2 10m telescope at W. M. Keck Observatory, respectively. In recent years, these instruments have been increasingly used to conduct survey work; in particular focused on the circumgalactic and intergalactic media at high redshift. Extracting faint signals from three-dimensional IFU data is a complex task which can become prohibitively difficult for large samples without the proper tools. We present CWITools, a package written in Python3 for the analysis of PCWI and KCWI data. CWITools is designed to provide a pipeline between the output of the standard instrument data reduction pipelines and scientific products such as surface brightness maps, spectra, velocity maps, as well as a wide array of associated models and measurements. While the package is designed specifically for PCWI and KCWI data, the package is open source and can be adapted to accommodate any three-dimensional integral field spectroscopy data. Here, we describe this pipeline, the methodology behind individual steps and provide example applications.
