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arXiv · 1805.11650

Imaging particle collision data for event classification using machine learning

S. V. Chekanov
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Abstract

We propose a method to organize experimental data from particle collision experiments in a general format which can enable a simple visualisation and effective classification of collision data using machine learning techniques. The method is based on sparse fixed-size matrices with single- and two-particle variables containing information on identified particles and jets. We illustrate this method using an example of searches for new physics at the LHC experiments.

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S. V. Chekanov. 2019-03-15. Imaging particle collision data for event classification using machine learning. https://doi.org/10.1016/j.nima.2019.04.031

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