TY - GEN
T1 - TimeTubes
T2 - 2017 Computer Graphics International Conference, CGI 2017
AU - Sawada, Naoko
AU - Nakayama, Masanori
AU - Wu, Hsiang Yun
AU - Uemura, Makoto
AU - Fujishiro, Issei
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/6/27
Y1 - 2017/6/27
N2 - 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 mappinginherent 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.
AB - 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 mappinginherent 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.
KW - Astrophysics
KW - Blazer
KW - Time-varying multivariate visualization
KW - Uncertainty visualization
UR - https://www.scopus.com/pages/publications/85025450385
UR - https://www.scopus.com/pages/publications/85025450385#tab=citedBy
U2 - 10.1145/3095140.3095154
DO - 10.1145/3095140.3095154
M3 - Conference contribution
AN - SCOPUS:85025450385
T3 - ACM International Conference Proceeding Series
BT - CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference
PB - Association for Computing Machinery
Y2 - 27 June 2017 through 30 June 2017
ER -