Bonn 2020 – scientific programme

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T: Fachverband Teilchenphysik

T 35: Gamma astronomy I

T 35.1: Talk

Tuesday, March 31, 2020, 17:00–17:15, H-HS XVII

Event classification in Compton-Pair telescopes using Convolutional Networks — •Jan Peter Lommler and Uwe Oberlack — Johannes Gutenberg-Universität Mainz

Low to medium energy gamma rays are shielded by the Earth's atmosphere and can only be measured from space (or near-space environment). Imaging is based on the dominant interaction processes of photons with matter in this energy range, Compton scattering at lower and pair creation at higher energies. Among the biggest challenges are the low signal to background ratio in the low-energy range and high event rates even in a moderate environment like equatorial Low Earth Orbits. An efficient event tagging reduces signal losses by preventing type-mismatching applications of reconstruction algorithms (e.g. performing a Compton reconstruction on a pair event) and signal pollution (distinguishing events originating from background sources). We explore the feasibility of Deep Convolutional Neural Nets in the context of event classification for Compton-pair telescopes on the example of the e-ASTROGAM design proposal.