Particle and Astro-Particle Physics Seminars

Learning New Physics from a Machine

by Andrea Wulzer

4/3-006 - TH Conference Room (CERN)

4/3-006 - TH Conference Room


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We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The model-independent nature of our approach, and its ability to deal with rare signals such as those expected at the LHC, is quantitatively assessed in toy examples.

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