Air shower simulation using GEANT4 and commodity parallel computing

L. A. Anchordoqui, Northeastern University
G. Cooperman, Northeastern University
V. Grinberg, Northeastern University
T. P. McCauley, Northeastern University
T. Paul, Northeastern University
S. Reucroft, Northeastern University
J. D. Swain, Northeastern University
G. Alverson, Northeastern University

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Originally posted at http://arxiv.org/abs/astro-ph/0006141v2

Abstract

We present an evaluation of a simulated cosmic ray shower, based on GEANT4 and TOP-C, which tracks all the particles in the shower. TOP-C (Task Oriented Parallel C) provides a framework for parallel algorithm development which makes tractable the problem of following each particle. This method is compared with a simulation program which employs the Hillas thinning algorithm.