November 18

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  • 1.Scientific Databases Lecture: Virtual Observatories for Space Science Dr. Kirk Borne, GMU SCS November 18, 2003 GMU CSI 710

2. Outline

  • Quick Review of Astronomy Data
  • The National Virtual Obseratory (NVO)
  • Other Virtual Observatories for Space Science
  • Why Virtual Observatories?
  • NVO Its all about the Science:
    • IT-enabled, Science-enabling
  • The Enabling Computational Science Technologies for the NVO where you can help!
  • Distributed Data Mining in the NVO

3. The Nature of Astronomical Data

  • Imaging
    • 2D map of the sky at multiple wavelengths
  • Derived catalogs
    • subsequent processing of images
    • extracting object parameters (400+ per object)
  • Spectroscopic follow-up
    • spectra: more detailed object properties
    • clues to physical state and formation history
    • lead to distances: 3D maps
  • Numerical simulations
  • All inter-related!

4. NOAO Deep Wide-Field Survey: http:// / 5. NOAO Deep Wide-Field Survey: http:// / 6. NOAO Deep Wide-Field Survey: http:// / 7. NASA Astronomy Mission Data: the tip of the data mountain NSSDCs astrophysics data holdings: One of many science data collections for astronomy across the US and the world! NSSDC = National Space Science Data Center @ NASA/GSFC 8. Quote of the day

  • It's just as unpleasant to get more than you expected as it is to get less.
        • George Bernard Shaw

9. Why so many Telescopes?

  • Many great astronomical
  • discoveries have come
  • from inter-comparisons
  • of various wavelengths:
  • Quasars
  • Gamma-ray bursts
  • Ultraluminous IR galaxies
  • X-ray black-hole binaries
  • Radio galaxies
  • . . .

Overlay Because 10. Therefore, our science data archive systems should enable multi-wavelength interdisciplinary distributed database access,discovery, mining, and analysis. 11. How does one integrate and use these distributed data archives? 12. Emerging Computational Environment

  • Standardizing distributed data
    • Web Services, supported on all platforms
    • Custom configure remote data dynamically
    • XML: Extensible Markup Language
    • SOAP: Simple Object Access Protocol
    • WSDL: Web Services Description Language
    • UDDI: Universal Description, Discovery and Integration
  • Standardizing distributed computing
    • Grid Services
    • Custom configure remote computing dynamically
    • Build your own remote computer, use it, then discard it
    • Virtual Data: new data sets on demand

13. The National Virtual Observatory (NVO)

  • National Academy of Sciences Decadal Survey recommended NVO as highest priority small (