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With the launch of NASA’s Solar Dynamics Observatory (SDO) mission on 02/11/2010, researchers in solar physics have entered the era of Big Data. The Atmospheric Imaging Assembly (AIA) instrument on SDO provides imaging data and the Helioseismic and Magnetic Imager (HMI) instrument on SDO provides magnetic field data. Both instruments record data at a high spatial resolution and a time cadence, amounting to about 1 Petabyte of scientific data each year. The Big Data challenges in Solar Astronomy are expected to grow even further with the lunch of the NSF funded Daniel K. Inouye Solar Telescope (DKIST), currently under construction in Hawaii. This telescope is expected to generate: 3-5 Petabytes of data per year.

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重要日期

2014-08-30
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Workshop Objectives Providing exposure to the current interdisciplinary works of computer scientists and engineers, statisticians, and solar physicists conducted on solar astronomy big data. Engagement of big data researchers to develop new collaborations by presenting massive solar datasets, and current challenges with data-driven knowledge discovery from solar big data. Gathering of feedback on the current approaches to the management of solar data, retrieval, and mining from a broader Big Data community, with hopes of establishing new collaborations, research avenues, and future working relationships. Bringing people together from other disciplines and domains to share experiences, with hopes of determining if any transfer of big data expertise could benefit solar astronomy research projects and vice-versa.
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重要日期
  • 10月30日

    2014

    会议日期

  • 08月30日 2014

    初稿截稿日期

  • 10月30日 2014

    注册截止日期

主办单位
IEEE Computer Society
International Society of Granular Computing
承办单位
Georgia State University
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