This week’s post is about a fascinating paper by Amr Hassan and Christopher J. Fluke of Swinburne University of Technology in Australia on “Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era”
Four common visualization methods applied to a cosmological N-body dataset. Scattered point data (top left); Gaussian “splats”, using transparent-mode texture blending (top right); three representative isosurface levels with density increasing from red-orange-yellow (bottom left); and texture-based volume rendering with “heat” colour map increasing from black through red and yellow to white (bot- tom right). Data courtesy Madhura Killedar (University of Sydney). From Hassan and Fluke
They provide a thorough review of visualization applications in astronomy, and identify six grand challenges that they think must be met to meet astronomy visualization needs in the era of Petabyte scale data driven science. They are:
- Support Quantitative Visualization.
- Effective Handling of Large Data Sizes.
- Discovery in Low Signal-to-noise data.
- Better Human-Computer Interaction and Ubiquitous computing.
- Encourage adoption of 3D scientific visualization techniques.
- Better workflow Integration.
I strongly recommend this paper to anyone interested in the future of visualization in astronomy.
This entry was posted in astroinformatics
, Data Management
, High performance computing
and tagged astroinformatics
, high-performance computing
, information sharing
, scientific computing
. Bookmark the permalink