Aachen 2019 – scientific programme

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T: Fachverband Teilchenphysik

T 29: Deep Learning II

T 29.3: Talk

Tuesday, March 26, 2019, 16:30–16:45, H06

Particle Identification using Deep Learning at AMS — •Robin Sonnabend — RWTH Aachen, Aachen, Germany

The Alpha Magnetic Spectrometer (AMS-02) on the International Space Station performs precision measurements of cosmic rays in the GeV to TeV energy range. One of the challenges of measuring the electron and positron fluxes is rejecting the proton background. The published analyses of these fluxes rely on Multivariate Analysis (MVA) using shower shape observables from the electromagnetic calorimeter (ECAL) for particle identification and background rejection.

A new method to identify particles with Deep Convolutional Neural Networks using the energy depositions measured by the AMS-02 ECAL directly will be presented.