TimeTubes: Visual fusion and validation for ameliorating uncertainties of blazar datasets from different observatories

Published by Issei FUJISHIRO on

Naoko Sawada, Masanori NakayamaHsiang-Yun Wu, Makoto Uemura, Issei Fujishiro

in Proceedings of the Computer Graphics International Conference,
Article No. 14, Yokohama, Japan, June 27―30, 2017

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.

Publication page in 2017 is here


Leave a Reply

Avatar placeholder

Your email address will not be published. Required fields are marked *