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Dynamic line integral convolution for visualizing electromagnetic phenomena

Author(s)
Sundquist, Andreas, 1979-
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Massachusetts Institute of Technology. Dept. of Physics.
Advisor
John W. Belcher.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Vector field visualization is a useful tool in science and engineering, giving us a powerful way of understanding the structure and evolution of the field. A fairly recent technique called Line Integral Convolution (LIC) has improved the level of detail that can be visualized by convolving a random input texture along the streamlines in the vector field. This thesis extends the technique to time-varying vector fields, where the motion of the field lines is specified explicitly via another vector field. The sequence of images generated is temporally coherent, clearly showing the evolution of the fields over time, while at the same time each individual image retains the characteristics of the LIC technique. This thesis describes the new technique, entitled Dynamic Line Integral Convolution, and explores its application to experiments in electromagnetism.
Description
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2001.
 
Includes bibliographical references (leaves 62-63).
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Date issued
2001
URI
http://hdl.handle.net/1721.1/16776
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Department of Physics
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science., Physics.

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