Münster 2017 – scientific programme

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T: Fachverband Teilchenphysik

T 109: Kosmische Strahlung 7

T 109.4: Talk

Thursday, March 30, 2017, 17:35–17:50, H 3

Recognizing patterns in the arrival directions of ultra-high energy cosmic rays using deep neural networks — •Marcus Wirtz, Martin Erdmann, Jonas Glombitza, Gero Müller, and David Walz — III. Physikalisches Institut A, RWTH Aachen University, Deutschland

Where the accelerating sites of ultra-high energy cosmic rays are located remains an unanswered research question, since overdensities in the cosmic-ray arrival distribution on small and intermediate angular scales are still largely compatible with isotropic expectations. However, hints for potential point sources may be provided by cosmic-ray deflection in the coherent component of the galactic magnetic field, which forms characteristic patterns in the arrival distribution. We present a method based on deep neural networks that attempts to identify these patterns and to uncover even complex source hypotheses.