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 CRE rate at multi-TeV, we increase the acceptance by selecting events outside of the fiducial volume. Non-fiducial events, with their complex topology, do however require special treatments with sophisticated analysis tools. We propose therefore a Convolutional Neural Network to identify non-fiducial CREs and reject background, based on their interaction in DAMPE’s calorimeter. We will show how this method can recover those events.
Authors
Andrii Tykhonov
(Universite de Geneve (CH))
Enzo Putti-Garcia
(Universite de Geneve (CH))
Xin Wu
(Universite de Geneve (CH))
