Automatic anomaly detection in high energy collider data

Details Automatic anomaly detection in high energy collider data Automatic anomaly detection in high energy collider data

2011-04-13

arxiv.org/abs/1104.2404v1

Physics

High Energy Physics

High Energy Physics - Phenomenology

5 pages, 2 figures

Scientific paper

We address the problem of automatic anomaly detection in high energy collider data. Our approach is based on the random generation of analytic expressions for kinematical variables, which can then be evolved following a genetic programming procedure to enhance their discriminating power. We apply this approach to three concrete scenarios to demonstrate its possible usefulness, both as a detailed check of reference Monte-Carlo simulations and as a model independent tool for the detection of New Physics signatures.

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