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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Topological Analysis of Inertial Dynamics

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Author(s):
Sagrista, Antoni ; Jordan, Stefan ; Just, Andreas ; Dias, Fabio ; Nonato, Luis Gustavo ; Sadlo, Filip
Total Authors: 6
Document type: Journal article
Source: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS; v. 23, n. 1, p. 950-959, JAN 2017.
Web of Science Citations: 4
Abstract

Traditional vector field visualization has a close focus on velocity, and is typically constrained to the dynamics of massless particles. In this paper, we present a novel approach to the analysis of the force-induced dynamics of inertial particles. These forces can arise from acceleration fields such as gravitation, but also be dependent on the particle dynamics itself, as in the case of magnetism. Compared to massless particles, the velocity of an inertial particle is not determined solely by its position and time in a vector field. In contrast, its initial velocity can be arbitrary and impacts the dynamics over its entire lifetime. This leads to a four-dimensional problem for 2D setups, and a six-dimensional problem for the 3D case. Our approach avoids this increase in dimensionality and tackles the visualization by an integrated topological analysis approach. We demonstrate the utility of our approach using a synthetic time-dependent acceleration field, a system of magnetic dipoles, and N-body systems both in 2D and 3D. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 14/12815-1 - Mathematical morphology in graphs: methods and applications in data visualization
Grantee:Fábio Augusto Salve Dias
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 11/22749-8 - Challenges in exploratory visualization of multidimensional data: paradigms, scalability and applications
Grantee:Luis Gustavo Nonato
Support Opportunities: Research Projects - Thematic Grants