Oliver Rübel et al 2009 Comput. Sci. Disc. 2 015005 doi:10.1088/1749-4699/2/1/015005
Oliver Rübel1,2,3, Cameron G R Geddes4, Estelle Cormier-Michel4, Kesheng Wu1, Prabhat1, Gunther H Weber1, Daniela M Ushizima1, Peter Messmer5, Hans Hagen2, Bernd Hamann1,2,3 and Wes Bethel1,3
Show affiliationsNumerical simulations of laser wakefield particle accelerators play a key role in the understanding of the complex acceleration process and in the design of expensive experimental facilities. As the size and complexity of simulation output grows, an increasingly acute challenge is the practical need for computational techniques that aid in scientific knowledge discovery. To that end, we present a set of data-understanding algorithms that work in concert in a pipeline fashion to automatically locate and analyze high-energy particle bunches undergoing acceleration in very large simulation datasets. These techniques work cooperatively by first identifying features of interest in individual timesteps, then integrating features across timesteps, and based on the information-derived perform analysis of temporally dynamic features. This combination of techniques supports accurate detection of particle beams enabling a deeper level of scientific understanding of physical phenomena than has been possible before. By combining efficient data analysis algorithms and state-of-the-art data management we enable high-performance analysis of extremely large particle datasets in 3D. We demonstrate the usefulness of our methods for a variety of 2D and 3D datasets and discuss the performance of our analysis pipeline.
52.38.Kd Laser-plasma acceleration of electrons and ions
41.75.Fr Electron and positron beams
41.85.Ct Particle beam shaping, beam splitting
78A60 Lasers, masers, optical bistability, nonlinear optics (See also 81V80)
Accelerators, beams and electromagnetism
Instrumentation and measurement
Issue 1 (January-December 2009)
Received 15 July 2009, in final form 20 October 2009
Published 18 November 2009
Oliver Rübel et al 2009 Comput. Sci. Disc. 2 015005
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