Title: Background discrimination techniques using Artificial Neural Networks for the GERDA experiment.
Location: Meeting room
Type: Research Result
Speaker: Mirko Pittaluga – Università degli studi di Padova
GERDA is a research program that aims at observing a double beta decay, a nuclear rection with a deep physical interest, in Germanium. One of the challenges that must be addressed in the decay research is the background suppression, i.e., the suppression of all the possible external background causes and the discrimination of the detected signal between interesting signal and background. In this talk we show how Artificial Neural Networks (ANN) can be applied to address signal/background discrimination and discuss their benefits and limitations.