论文标题
XPIPELINE：Magao-X的星光减法
XPipeline: Starlight subtraction at scale for MagAO-X
论文作者
论文摘要
Magao-X是智利Las Campanas天文台的麦哲伦粘土望远镜6.5米望远镜的极端自适应光学器械（EXAO）。它的高空间和时间分辨率可以产生1 TB/HR或更多的数据速率，包括所有AO系统遥测和科学图像。我们描述用于指挥，遥测以及科学数据传输和存储的工具和架构。高数据量需要进行数据处理的分布式方法，我们已经开发了一条可以从单个笔记本电脑扩展到数十个HPC节点的管道。然后，可以将相同的代码库用于望远镜和后处理的快速外观功能。我们介绍为EXAO数据后处理开发的软件和基础架构，并用最近获得的直接成像数据说明了它们的用途。
MagAO-X is an extreme adaptive optics (ExAO) instrument for the Magellan Clay 6.5-meter telescope at Las Campanas Observatory in Chile. Its high spatial and temporal resolution can produce data rates of 1 TB/hr or more, including all AO system telemetry and science images. We describe the tools and architecture we use for commanding, telemetry, and science data transmission and storage. The high data volumes require a distributed approach to data processing, and we have developed a pipeline that can scale from a single laptop to dozens of HPC nodes. The same codebase can then be used for both quick-look functionality at the telescope and for post-processing. We present the software and infrastructure we have developed for ExAO data post-processing, and illustrate their use with recently acquired direct-imaging data.
