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Displaying 1-3 out of 3 total
Automated Analysis for Detecting Beams in Laser Wakefield Simulations
Found in: Machine Learning and Applications, Fourth International Conference on
By Daniela M. Ushizima, Oliver Rübel, Prabhat, Gunther H. Weber, E. Wes Bethel, Cecilia R. Aragon, Cameron G. R. Geddes, Estelle Cormier-Michel, Bernd Hamann, Peter Messmer, Hans Hagen
Issue Date:December 2008
pp. 382-387
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extremely short particle acceleration distance could yield a potential new compact s...
High performance multivariate visual data exploration for extremely large data
Found in: SC Conference
By Oliver Rübel, Prabhat, Kesheng Wu, Hank Childs, Jeremy Meredith, Cameron G. R. Geddes, Estelle Cormier-Michel, Sean Ahern, Gunther H. Weber, Peter Messmer, Hans Hagen, Bernd Hamann, E. Wes Bethel
Issue Date:November 2008
pp. 1-12
One of the central challenges in modern science is the need to quickly derive knowledge and understanding from large, complex collections of data. We present a new approach that deals with this challenge by combining and extending techniques from high perf...
Feature-Based Analysis of Plasma-Based Particle Acceleration Data
Found in: IEEE Transactions on Visualization and Computer Graphics
By Oliver Rubel,Cameron G. R. Geddes, Min Chen,Estelle Cormier-Michel,E. Wes Bethel
Issue Date:February 2014
pp. 196-210
Plasma-based particle accelerators can produce and sustain thousands of times stronger acceleration fields than conventional particle accelerators, providing a potential solution to the problem of the growing size and cost of conventional particle accelera...