Science Applications and Challenges of SKA Big Data

Authors

AN Tao, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
WU Xiangping, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China
HONG Xiaoyu, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
YE Shuhua, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
MAO Yufeng, Bureau of Frontier Sciences and Education, Chinese Academy of Sciences, Beijing 100864, China
GUO Shaoguang, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
LAO Baoqiang, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China

Keywords

Square Kilometre Arra (SKA); big data; high performance computing; science application

Document Type

Article

Abstract

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 ExaByte (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.

First page

871

Last Page

876

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

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Recommended Citation

Tao, AN; Xiangping, WU; Xiaoyu, HONG; Shuhua, YE; Yufeng, MAO; Shaoguang, GUO; and Baoqiang, LAO (2018) "Science Applications and Challenges of SKA Big Data," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 33 : Iss. 8 , Article 16.
DOI: https://doi.org/10.16418/j.issn.1000-3045.2018.08.016
Available at: https://bulletinofcas.researchcommons.org/journal/vol33/iss8/16