论文标题
在印度建立原型SKA区域中心的计划
Plans for building a prototype SKA regional centre in India
论文作者
论文摘要
为了发挥平方公里阵列(SKA)望远镜的全部科学潜力,将需要在世界各地的不同SKA成员国建造几个SKA区域中心(SRC)。这些SRC将提供高性能计算和存储,以从SKA科学数据处理和处理系统生成的基本数据流生成高级科学数据产品,这对于SKA用户社区将要进行的关键科学项目的成功至关重要。他们还将为天文学家提供支持,以使他们能够对非常大的SKA数据集进行分析。对于所有SKA成员国来说,建造如此大的数据中心是一个技术挑战。在这种情况下,每个国家都计划在未来几年(2022年)中构建一个较小的SRC,称为原始SRC。在印度,我们建议构建一种原始SRC,该原始SRC将用于分析来自SKA探路者和具有强烈印度参与(例如UGMRT,Meerkat和MWA)的前体的数据。我们描述了我们对原始SRC的存储,计算和网络的某些方面的思考,以及如何用于数据分析以及进行与印度天文学家领导的SKA关键科学项目有关的各种模拟。我们还提出了关于原始SRC计划如何评估新兴硬件和软件技术的想法,并开始在与SKA数据处理和分析相关的领域开始软件开发,例如算法实现,管道开发和数据可视化软件。
In order to deliver the full science potential of the Square Kilometer Array (SKA) telescope, several SKA Regional Centres (SRCs) will be required to be constructed in different SKA member countries around the world. These SRCs will provide high performance compute and storage for the generation of advanced science data products from the basic data streams generated by the SKA Science Data Handling and Processing system, critically necessary to the success of the key science projects to be carried out by the SKA user community. They will also provide support to astronomers to enable them to carry out analysis on very large SKA datasets. Construction of such large data centres is a technical challenge for all SKA member nations. In such a situation, each country plans to construct a smaller SRC over the next few years (2022 onwards), known as a proto-SRC. In India, we propose to construct a proto-SRC which will be used for the analysis of data from SKA pathfinders and precursors with strong Indian involvement such as uGMRT, Meerkat and MWA. We describe our thinking on some aspects of the the storage, compute and network of the proto-SRC and how it will be used for data analysis as well as for carrying out various simulations related to SKA key science projects led by Indian astronomers. We also present our thoughts on how the proto-SRC plans to evaluate emerging hardware and software technologies and to also begin software development in areas of relevance to SKA data processing and analysis such as algorithm implementation, pipeline development and data visualisation software.