Learning New Physics from a Machine

by Andrea Wulzer (CERN)

Wednesday 31 Oct 2018, 11:00 → 12:00 Europe/Zurich

Edificio U2, Aula 5017 (Dipartimento di Fisica G. Occhialini, U2, Università degli Studi di Milano-Bicocca)

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.

talk_wulzer_MI.pdf