Speaker
Enzo Putti-Garcia
(Universite de Geneve (CH))
Description
The Dark Matter Particle Explorer (DAMPE) is a space-based cosmic ray observatory with the aim, among others, to study cosmic ray electrons (CREs) up to 10 TeV. Due to the low CREs rate at multi-TeV, we increase the acceptance by selecting events outside of the fiducial volume. High incidence events do however require special treatments with sophisticated analysis tools. We propose therefore a Convolutional Network to identify non-fiducial CREs and reject background, based on their interaction in DAMPE calorimeter. We will show how this method can outperform classical methods.
Authors
David Francois Droz
(Universite de Geneve (CH))
Xin Wu
(Universite de Geneve (CH))
Enzo Putti-Garcia
(Universite de Geneve (CH))
