TimeTubes: Visualization of Polarization Variations in BlazarsReportar como inadecuado

TimeTubes: Visualization of Polarization Variations in Blazars

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Hiroshima Astrophysical Science Center, Hiroshima University, Kagamiyama 1-3-1, Higashi-Hiroshima 739-8526, Japan


Department of Physics, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8551, Japan


Department of Information and Computer Science, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan


Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi 441-8580, Japan


Department of Computer Science and Engineering, University of Aizu, Tsuruga, Ikki-machi, Aizu-Wakamatsu 965-8580, Japan


Author to whom correspondence should be addressed.

Academic Editors: Jose L. Gómez, Alan P. Marscher and Svetlana G. Jorstad

Abstract Optical polarization provides important clues to the magnetic field in blazar jets. It is easy to find noteworthy patterns in the time-series data of the polarization degree PD and position angle PA. On the other hand, we need to see the trajectory of the object in the Stokes Q U plane when the object has multiple polarized components. In this case, ironically, the more data we have, the more difficult it is to gain any knowledge from it. Here, we introduce TimeTubes, a new visualization scheme to explore the time-series data of polarization observed in blazars. In TimeTubes, the data is represented by tubes in 3D Q, U, and time space. The measurement errors of Q and U, color, and total flux of objects are expressed as the size, color, and brightness of the tubes. As a result, TimeTubes allows us to see the behavior of six variables in one view. We used TimeTubes for our data taken by the Kanata telescope between 2008 and 2014. We found that this tool facilitates the recognition of the patterns in blazar variations; for example, favored PA of flares and PA rotations associated with a series of flares. View Full-Text

Keywords: optical polarization; visualization optical polarization; visualization

Autor: Makoto Uemura 1,* , Ryosuke Itoh 2, Longyin Xu 3, Masanori Nakayama 3, Hsiang-Yun Wu 3, Kazuho Watanabe 4, Shigeo Takahashi 5 and Issei Fujishiro 3

Fuente: http://mdpi.com/


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