LSTOSA:CTA大型望远镜原型的现场处理管道
LSTOSA: Onsite processing pipeline for the CTA Larged-Sized Telescope prototype
摘要:
切伦科夫望远镜阵列(CTA)的大型望远镜(LST)原型目前正在调试阶段。除其他外,共有四个LST将在Observatorio del Roque de Los Muchachos共同运作,该观测站将托管CTA北部站点。现场安装了一个拥有1760个核心和数PB磁盘空间的计算中心。它用于采集、处理和分析产生的数据,在运行期间的速率为3~TB/小时。LST现场分析LSTOSA是一组用Python编写的脚本,它连接了为LST开发的分析管道lstchain的不同步骤。它以半自动的方式处理数据,产生高水平的数据和质量图,包括详细的种源日志。在下一个观测夜之前对数据进行分析,以帮助调试程序和调试。
英文摘要:
The prototype of the Large-Sized Telescope (LST) of the Cherenkov Telescope Array (CTA) is presently going through its commissioning phase. A total of four LSTs, among others, will operate together at Observatorio del Roque de Los Muchachos, which will host the CTA North site. A computing center endowed with 1760 cores and several petabytes disk space is installed onsite. It is used to acquire, process, and analyze the data produced, at a rate of 3~TB/hour during operation. The LST On-site Analysis LSTOSA is a set of scripts written in Python which connects the different steps of lstchain, the analysis pipeline developed for the LST. It processes the data in a semiautomatic way producing high-level data and quality plots including detailed provenance logs. Data are analyzed before the next observation night to help in the commissioning procedure and debugging.
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。