• DocumentCode
    1791724
  • Title

    Improved data exploitation for DKIST high-resolution solar observations

  • Author

    Reardon, Kevin P. ; Berukoff, Steve

  • Author_Institution
    Nat. Solar Obs., Boulder, CO, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    45
  • Lastpage
    52
  • Abstract
    Following its commissioning in 2019, the Daniel K. Inouye Solar Telescope (DKIST) will be the flagship facility for astrophysical investigations of the full solar atmosphere. The telescope is planned to acquire large volumes (5 PB per year, initially) of heterogeneous data over several decades using several different instruments. We discuss the challenges currently envisioned for handling these data volumes while providing efficient data discovery and delivery interfaces for scientists. Broader use of the data for varied science purposes will rely on algorithms for extracting useful information content from the recorded images and mechanisms by which this information can be mined and analyzed.
  • Keywords
    astronomical telescopes; solar atmosphere; solar magnetism; solar prominences; sunspots; DKIST high-resolution solar observations; Daniel K Inouye Solar Telescope; astrophysical investigations; data exploitation; flagship facility; full solar atmosphere; heterogeneous data; information content; sunspot identification; Atmosphere; Atmospheric measurements; Feature extraction; Magnetic fields; Sun; Telescopes; big data; computer vision; feature identification; solar physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004403
  • Filename
    7004403