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- Naoko Sawada
- Keio University, Yokohama, Kanagawa
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- Masanori Nakayama
- Keio University, Yokohama, Kanagawa
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- Hsiang-Yun Wu
- Keio University, Yokohama, Kanagawa
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- Makoto Uemura
- Hiroshima University, Higashi-Hiroshima, Hiroshima
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- Issei Fujishiro
- Keio University, Yokohama, Kanagawa
書誌事項
- タイトル別名
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- visual fusion and validation for ameliorating uncertainties of blazar datasets from different observatories
- 公開日
- 2017-06-27
- 権利情報
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- https://www.acm.org/publications/policies/copyright_policy#Background
- DOI
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- 10.1145/3095140.3095154
- 公開者
- ACM
説明
Astronomers have been observing blazars to solve the mystery of the relativistic jet. A technique called TimeTubes uses a 3D volumetric tube to visualize the time-dependent multivariate observed datasets and allows astronomers to interactively analyze the dynamic behavior of and relationship among those variables. However, the observed datasets themselves exhibit uncertainty due to their errors and missing periods, whereas periods interpolated by TimeTubes result in a different type of uncertainty. In this paper, we present a technique for ameliorating such data- and mapping-inherent uncertainties: visual fusion of datasets for the same blazar from two different observatories. Visual data fusion with Time-Tubes enables astronomers to validate the datasets in a meticulous manner.
収録刊行物
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- Proceedings of the Computer Graphics International Conference
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Proceedings of the Computer Graphics International Conference 1-6, 2017-06-27
ACM