论文标题
慢炖：减少和分析恒星图像的管道
SImMER: A Pipeline for Reducing and Analyzing Images of Stars
论文作者
论文摘要
我们介绍了第一个公共版本Simmer，这是一种用于点源天文图像的开源Python减少管道。当前功能包括深色灌输，扁平场，天空灌输，图像注册，FWHM测量，对比曲线计算以及表格和情节生成。 Simmer支持Shane 3-M望远镜上的Sharcs摄像头和Hale 5.1-M望远镜上的Pharo相机进行的观察。 immer的模块化性质使用户可以扩展管道，以相对轻松地容纳其他乐器。管道的核心功能之一是其图像登记模块，该模块足够灵活，可以减少饱和图像和相似的亮度，已解决的恒星二进制文件。此外，immer可以计算减少图像的对比曲线并产生出版物就绪图。该代码是在\ url {https://github.com/arjunsavel/simmer}在线开发的，并且既是pip- and conda installable。我们将与代码一起开发教程和文档，并在线托管它们。使用Simmer，我们旨在提供社区资源，以进行准确可靠的数据减少和分析。
We present the first public version of SImMER, an open-source Python reduction pipeline for astronomical images of point sources. Current capabilities include dark-subtraction, flat-fielding, sky-subtraction, image registration, FWHM measurement, contrast curve calculation, and table and plot generation. SImMER supports observations taken with the ShARCS camera on the Shane 3-m telescope and the PHARO camera on the Hale 5.1-m telescope. The modular nature of SImMER allows users to extend the pipeline to accommodate additional instruments with relative ease. One of the core functions of the pipeline is its image registration module, which is flexible enough to reduce saturated images and images of similar-brightness, resolved stellar binaries. Furthermore, SImMER can compute contrast curves for reduced images and produce publication-ready plots. The code is developed online at \url{https://github.com/arjunsavel/SImMER} and is both pip- and conda-installable. We develop tutorials and documentation alongside the code and host them online. With SImMER, we aim to provide a community resource for accurate and reliable data reduction and analysis.
