SKA大数据的科学应用和挑战  

Science Applications and Challenges of SKA Big Data

作　　者：安涛[1] 武向平 洪晓瑜[1] 叶叔华[1] 毛羽丰[3] 郭绍光 劳保强[1] AN Tao;WU Xiangping;HONG Xiaoyu;YE Shuhua;MAO Yufeng;GUO Shaoguang;LAO Baoqiang(Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,China;National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China;Bureau of Frontier Sciences and Education,Chinese Academy of Sciences,Beijing 100864,China)

机构地区：[1]中国科学院上海天文台,上海200030 [2]中国科学院国家天文台,北京100101 [3]中国科学院前沿科学与教育局,北京100864

出　　处：《中国科学院院刊》2018年第8期871-876,共6页Bulletin of Chinese Academy of Sciences

基　　金：科技部国家重点研发计划大科学装置专项(2018YFA0404600);中国科学院国际合作局国际大科学计划培育专项(114231KYSB 20170003)

摘　　要：即将开建的平方公里阵列(SKA)射电望远镜是最大的天文观测装置,有望在宇宙起源、生命起源、宇宙磁场起源、引力本质、地外文明等自然科学重大前沿问题上取得革命性的突破。SKA的超级灵敏度、超大视场、超快巡天速度和超高时间、空间、频率分辨率等技术特点确保了SKA在观测能力上的领先地位,由此也产生了海量观测数据。SKA的数据运输、存储、读写、运算、管理、归档、发布对信息和计算机领域的前沿技术均提出了严峻的考验。中国SKA科学团队将协同信息产业界一道应对SKA大数据的挑战,不仅推动产生重大原创性科学发现,其技术成果也将应用于国民经济建设。The Square Kilometre Array（SKA） radio telescope to be built soon is the largest astronomical observing facility, and it is expected to make revolutionary breakthroughs in the major frontiers of natural sciences to answer fundamental questions of origins, such as the origin of the Universe, the origin of life, the origin of the cosmic magnetic field, the nature of gravity, and search for extraterrestrial civilization. The unprecedented power of the SKA, characterized by the extremely high sensitivity, wide field of view, ultra-fast survey speed, super high time, space, and frequency resolutions ensures the leading position of the SKA in radio astronomy in next decades, which also produces a vast amount of observational data at Exa Byte（EB） level. The transportation, storage, reading, writing, computing, management, archiving of the SKAlevel data and the release of SKA science products have posed serious challenges on the technologies in the field of information and computers. China SKA science team will work together with the information, communication, and computer industry to tackle the challenges of the SKA big data, as not only promotes major original scientific discoveries, but also applies the derived technological achievements to stimulate the national economy.

关 键 词：平方公里阵列 大数据 高性能计算 科学应用 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]