Lorenzo Moneta
(CERN),
Markus Stoye
(Imperial College (GB)),
Paul Seyfert
(CERN),
Rudiger Haake
(Yale University (US)),
Steven Schramm
(Universite de Geneve (CH))
12/10/2018, 15:00
Dr
Sergei Gleyzer
(University of Florida (US))
12/10/2018, 15:10
Andrea Wulzer
(CERN)
12/10/2018, 16:00
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.
Alexander Glazov
(Deutsches Elektronen-Synchrotron (DE))
12/10/2018, 16:35