Münster 2017 – wissenschaftliches Programm
T 109.4: Vortrag
Donnerstag, 30. März 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.