Bonn 2020 – scientific programme

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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 1: AKPIK I

AKPIK 1.1: Talk

Wednesday, April 1, 2020, 16:30–16:45, H-HS XII

Deep learning on stereoscopic CTA images — •Richard Wiemann, Maximilian Nöthe, and Lukas Nickel — Lehrstuhl für Experimentelle Physik Vb, Fakultät Physik, Dortmund, Deutschland

With its two arrays of more than 100 Imaging Atmospheric Cherenkov telescopes (IACTs) the Cherenkov Telescope Array (CTA) will be the largest ground-based gamma-ray observatory. The rapid development in the area of machine learning on image data motivates the attempt of using deep learning computer vision methods for gamma-hadron separation. This talk presents convolutional and recurrent deep neural network approaches for mono and stereo IACT data analysis using the open-source machine learning framework PyTorch.