• DocumentCode
    2206696
  • Title

    Modeling complex astrophysics data

  • Author

    Farris, A.

  • Author_Institution
    Space Telescope Sci. Inst., Baltimore, MD, USA
  • fYear
    1994
  • fDate
    28-30 Sep 1994
  • Firstpage
    149
  • Lastpage
    158
  • Abstract
    Scientific data are often characterized by large volumes of data, complex data relationships, and complex algorithms that operate on those data. Databases at the Space Telescope Science Institute are used to illustrate some of the differences between traditional data management schemes and the requirements of scientific data. Data from radio astronomy are modeled using conceptual enhancements to flexible image transport system (FITS) binary tables, which are compared to relational database tables. These enhancements are used to capture features of a more general notion of an observation. Finally, it is argued that accessing and manipulating each data, in order to support the entire process of data analysis, requires the construction of an abstract data model that intuitively models how a domain specialist views the data
  • Keywords
    astrometry; astronomy and astrophysics; data structures; database management systems; abstract data model; complex algorithms; complex astrophysics data modelling; flexible image transport system binary tables; radio astronomy; relational database tables; Astrophysics; Data analysis; Data mining; Image coding; Image databases; Photometry; Pixel; Radio astronomy; Relational databases; Telescopes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 1994. Proceedings., Seventh International Working Conference on
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-8186-6610-2
  • Type

    conf

  • DOI
    10.1109/SSDM.1994.336952
  • Filename
    336952