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Joshua A. Breslau

dblp:24/4593 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0002-0649-4836ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › topological data analysis
vector field topology
0.112010
Analysis of Recurrent Patterns in Toroidal Magnetic Fields · IEEE Trans. Vis. Comput. Graph. 2010
Computational science and engineering
plasma physics
0.012010
Analysis of Recurrent Patterns in Toroidal Magnetic Fields · IEEE Trans. Vis. Comput. Graph. 2010

Methods — techniques the papers use, named apart from their topics

poincaré section · 0.2fieldline tracing · 0.2
YearPublicationVenuePosition
2010 Analysis of Recurrent Patterns in Toroidal Magnetic Fields
abstract
In the development of magnetic confinement fusion which will potentially be a future source for low cost power, physicists must be able to analyze the magnetic field that confines the burning plasma. While the magnetic field can be described as a vector field, traditional techniques for analyzing the field's topology cannot be used because of its Hamiltonian nature. In this paper we describe a technique developed as a collaboration between physicists and computer scientists that determines the topology of a toroidal magnetic field using fieldlines with near minimal lengths. More specifically, we analyze the Poincaré map of the sampled fieldlines in a Poincaré section including identifying critical points and other topological features of interest to physicists. The technique has been deployed into an interactive parallel visualization tool which physicists are using to gain new insight into simulations of magnetically confined burning plasmas.
Allen R. Sanderson, Guoning Chen, Xavier Tricoche, David Pugmire, Scott Kruger, Joshua A. Breslau
IEEE Trans. Vis. Comput. Graph.6