Learning New Physics from a Machine

by Andrea Wulzer

Friday 23 Nov 2018, 14:00 → 16:00 Europe/Zurich

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

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.