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hv_talk.ppt Presentation Transcript

  • 1. Jack Ireland & Helioviewer Team ADNET Systems, Inc. Helioviewer Discovery for Everyone Everywhere
  • 2. Helioviewer Discovery for Everyone Everywhere Desmond Amadigwe Jack Ireland Patrick Schmiedel George Dimitoglou Ben Karel Benjamin Wamsler Bernhard Fleck Daniel Müller Alen Agheksanterian Keith Hughitt Juan Pablo Garcia Ortiz
  • 3. The Helioviewer Project
    • Challenges
    • Huge amounts of data:
    • SOHO: ~0.2 Gbyte/day
    • SDO: ~1400 Gbyte/day
    • Large range of time & length-scales
    • Many different data products
    • Distributed archives
    • Multiple interest groups
    There are many distributed sources of information for one physical system - the heliosphere.
  • 4. The Helioviewer Project
    • Goals
    • Enable efficient data browsing and visualization for users everywhere
    • Transparent access to multiple distributed archives e.g. HEK, VSO, GOES flare catalogs, ground based data
    • Extensible, open design that requires a minimal effort to join
    Create a discovery infrastructure that allows users to explore the heliosphere as a physical system
  • 5. Components
    • Image service
    • Database of images from multiple observatories
    • JPEG2000 compression scheme - many advantages
    • API to use service - open to all
    • Feature/Event service
    • A web service that interacts with multiple archives, e.g. HEK, VSO, GOES flare catalogs.
    • API to use service - open to all
    • Browse tools
    • www.helioviewer.org - web interface
    • JHelioviewer - Java application
  • 6. Image storage with JPEG2000 Advantages:
    • Multiple resolutions [Images at different resolutions are automatically created during wavelet compression process]
    • Random image access [Selected parts + quality layers can be accessed]
    • Flexible file format [for metadata]
    • Well-suited for archives [lossless mode, “Compress once, decompress many ways”]
    JPEG2000 = new wavelet-based compression standard multiple heliospheric length-scales ✓ ✓ selectable sub-regions ✓ FITS header ✓ lower data transfer requirements for distributed archives
  • 7. Remote Access to Image Data
    • JPIP = JPEG2000 Interactive Protocol
    • JPIP provides a client−server architecture for transmitting JPEG2000 imagery over networks
    • Can query arbitrary parts, quality levels of images and movies
    • IDL, Solarsoft, Kakadu JPEG2000 libraries
    movie cube level 1 level 2 level 3 level 4 level 5 4096 2 px image 5 level DWT we need transfer only those wavelet coefficients required for the requested field of view and time
  • 8. SDO-AIA image data
    • JPEG2000 compression by a factor 16 yields reasonable browse EIT images.
    • 16x compression @ 1 minute cadence yields ~ 0.3 Tb/year/wavelength.
    • Keep most recent data (1-3 mo.) at full cadence?
    • Permanent library of browsable images for entire mission.
    • Very easy to concatenate JPEG2000 files to make movies and serve them remotely.
  • 9. Feature/event service
    • Works with heterogenous feature/event services and archives, e.g., HEK, VSO, stand-alone catalogs (e.g., GOES)
    • Transparent to the user
    • API is open to other developers
    • Many types of meta-data are handled
  • 10. www.helioviewer.org Date/Time navigator Ajax, PHP, ImageMagick, Kakadu/JPEG2000, Javascript libraries
  • 11. www.helioviewer.org Data overlay selector & manager
  • 12. www.helioviewer.org Feature/Event selector
  • 13. www.helioviewer.org zoom bar and centering
  • 14. www.helioviewer.org step forward in time add LASCO C2 add SEEDS CME catalog zoom out / widen field of view
  • 15. www.helioviewer.org
  • 16. www.helioviewer.org add LASCO C3, vary layer opacity, zoom out
  • 17. www.helioviewer.org toggle full screen
  • 18. www.helioviewer.org click on an icon to get details on an event
  • 19. www.helioviewer.org view FITS keywords for selected image press ‘D’ for quick details
  • 20. Jhelioviewer Java, JPIP server, Kakadu
  • 21. Jhelioviewer movie controls image processing and overview
  • 22. Future developments
    • our own server
    • pipeline real-time SOHO image data (SPD mtg)
    • SDO JPEG2000 pipeline
    • VSO mediated data access
    • movie generation via www.helioviewer.org
    • better feature/event browsing and navigation
    • complex query tool - HEK, VSO
    • web browser plug-in for JPEG2000 streaming
    • establish multiple Helioviewer service providers
    • social networking
  • 23. Thank you! www.helioviewer.org http://achilles.nascom.nasa.gov/~dmueller