• DocumentCode
    168793
  • Title

    A Scalable Real-Time Photometric System for Automatic Astronomical Observations on Dome A

  • Author

    Ce Yu ; Lianmeng Li ; Jizhou Sun ; Jian Xiao ; Jiajun Li ; Zhaohui Shang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    26-29 May 2014
  • Firstpage
    900
  • Lastpage
    905
  • Abstract
    Deployed on Dome A of Antarctica, the AST3 astronomical telescopes are required to perform the sky survey in the extreme unmanned environments and process the observed data in real-time to offer the astronomers far back home with the timely observation results. A scalable real-time photometric system is proposed and designed for the automatic astronomical observations of AST3. A GPU-based algorithm for image subtraction photometry is proposed to improve the efficiency of this most time-consuming prodedure in the data processing workflow. To impove the reliability, the system is organized in a HA cluster and equipped with a specially designed daemon. The system has been practically utilized in the astronomical observations with the development of AST3 telescopes.
  • Keywords
    astronomical image processing; astronomical photometry; astronomical techniques; astronomical telescopes; graphics processing units; AST3 astronomical telescope; AST3 telescope; Antarctica; Dome A; GPU-based algorithm; HA cluster; automatic astronomical observations; data processing workflow; extreme unmanned environment; image subtraction photometry; real-time observed data processing; scalable real-time photometric system; specially designed daemon; timely observation results; Antarctica; Computers; Data processing; Graphics processing units; Photometry; Real-time systems; Telescopes; AST3; HA cluster; adaptive system; automatic astronomical observation; big data; real-time photometric system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/CCGrid.2014.36
  • Filename
    6846544