Automated Reconstruction of Particle Cascades in High Energy Physics Experiments

Physics – Data Analysis – Statistics and Probability

Scientific paper

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8 pages, 2 figures. Submitted to Computational Science & Discovery

Scientific paper

We present a procedure for reconstructing particle cascades from event data measured in a high energy physics experiment. For evaluating the hypothesis of a specific physics process causing the observed data, all possible reconstruction versions of the scattering process are constructed from the final state objects. We describe the procedure as well as examples of physics processes of different complexity studied at hadron-hadron colliders. We estimate the performance by 20 microseconds per reconstructed decay vertex, and 0.6 kByte per reconstructed particle in the decay trees.

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