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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eller, M. Miksch, S. Lettry, J. |
| Copyright Year | 2006 |
| Abstract | Most applications in physical calculations provide powerful multivariate outputs but use rather simple visual representations (diagrams) without the possibilities to explore the resulting data sets. Interdependences in the data are overlooked or stay unseen and the analysis is very time-consuming, because of the difficulty and complexity for users to grasp the results. In this paper, we present a tool which combines a visual structure recognised by the physical community with interactive information visualization techniques to support the analysis of decay chain calculations. In a case study we showed that our tool helped experts in the field to analyse radioactive decay chains where the representation of results is more concise and conclusions are easier drawn |
| Starting Page | 95 |
| Ending Page | 100 |
| File Size | 659828 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769526020 |
| ISSN | 15506037 |
| DOI | 10.1109/IV.2006.67 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-05 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chemical elements Protons Isotopes Data visualization Atomic measurements Neutrons Interactive systems Application software Information analysis Radioactive decay because of the difficulty and complexity for users to grasp the results. In this paper we present a tool which combines a visual structure recognised by the physical community with interactive information visualization techniques to support the analysis of decay chain calculations. In a case study we showed that our tool helped experts in the field to analyse radioactive decay chains where the representation of results is more concise and conclusions are easier drawn. Most applications in physical calculations provide powerful multivariate outputs but use rather simple visual representations (diagrams) without the possibilities to explore the resulting data sets. Interdependences in the data are overlooked or stay unseen and the analysis is very time-consuming |
| Content Type | Text |
| Resource Type | Article |
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