Science Pipelines for the Square Kilometre Array

Science Pipelines for the Square Kilometre Array
复制标题

DOI:
10.3390/galaxies6040120
复制
发表时间:
2018-12-01
期刊:
影响因子:
2.5
通讯作者:
Armour, Wes
Armour, Wes
中科院分区:
其他
文献类型:
--
作者:
Farnes, Jamie;Mort, Ben;Armour, Wes

文献摘要

被引文献

相似文献

平方公里阵列(SKA)将是有史以来建造的最大的射电望远镜,也是已知宇宙中最大的大数据项目。该项目的第一阶段每年将产生大约5泽字节的数据。SKA的一项关键任务将是它处理科学数据的能力,这需要通过科学管道进行。结合LOFAR多频快照巡天(MSSS)的偏振数据,我们一直在开发一个类似SKA的科学管道,可以处理LOFAR在150 MHz下生成的大量数据。该流水线使用基于任务的并行性来成像、检测源并在整个LOFAR天空中执行法拉第层析成像。因此,该项目提供了一个独特的机会,可以为SKA望远镜的技术发展做出贡献,同时获得尖端的科学成果。在本文中,我们提供了当前开发科学管道的努力的最新情况,该管道可以对宇宙的磁化大尺度结构进行严格约束。
The Square Kilometre Array (SKA) will be both the largest radio telescope ever constructed and the largest Big Data project in the known Universe. The first phase of the project will generate on the order of five zettabytes of data per year. A critical task for the SKA will be its ability to process data for science, which will need to be conducted by science pipelines. Together with polarization data from the LOFAR Multifrequency Snapshot Sky Survey (MSSS), we have been developing a realistic SKA-like science pipeline that can handle the large data volumes generated by LOFAR at 150 MHz. The pipeline uses task-based parallelism to image, detect sources and perform Faraday tomography across the entire LOFAR sky. The project thereby provides a unique opportunity to contribute to the technological development of the SKA telescope, while simultaneously enabling cutting-edge scientific results. In this paper, we provide an update on current efforts to develop a science pipeline that can enable tight constraints on the magnetised large-scale structure of the Universe.