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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aragon, C.R. Bailey, S.J. Poon, S. Runge, K.J. Thomas, R.C. |
| Copyright Year | 2007 |
| Description | Author affiliation: Lawrence Berkeley Nat. Lab., Berkeley (Aragon, C.R.; Bailey, S.J.) |
| Abstract | Computational and experimental sciences produce and collect ever- larger and complex datasets, often in large-scale, multi-institution projects. The inability to gain insight into complex scientific phenomena using current software tools is a bottleneck facing virtually all endeavors of science. In this paper, we introduce Sunfall, a collaborative visual analytics system developed for the Nearby Supernova Factory, an international astrophysics experiment and the largest data volume supernova search currently in operation. Sunfall utilizes novel interactive visualization and analysis techniques to facilitate deeper scientific insight into complex, noisy, high-dimensional, high-volume, time-critical data. The system combines novel image processing algorithms, statistical analysis, and machine learning with highly interactive visual interfaces to enable collaborative, user-driven scientific exploration of supernova image and spectral data. Sunfall is currently in operation at the Nearby Supernova Factory; it is the first visual analytics system in production use at a major astrophysics project. |
| Starting Page | 219 |
| Ending Page | 220 |
| File Size | 376254 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424416592 |
| DOI | 10.1109/VAST.2007.4389026 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Machine learning algorithms Astrophysics Image processing astrophysics visual analytics scientific visualization Production facilities International collaboration Visual analytics Data visualization Data and knowledge visualization Large-scale systems Time factors Software tools visual exploration |
| Content Type | Text |
| Resource Type | Article |
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