Big Data Science in Astroparticle Research - Workshop

Session

Deep Learning

Feb 19, 2019, 9:00 AM

RWTH Aachen University SuperC

5. Welcome at the RWTH Aachen University

Prof. Carsten Honerkamp (RWTH Aachen University)

2/19/19, 9:00 AM

6. Deep Neural Networks for Energy and Position Reconstruction in EXO-200

Mr Tobias Ziegler (ECAP Erlangen)

2/19/19, 9:19 AM

7. A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc)

Mr Davide Porzio (University of Manchester)

2/19/19, 9:38 AM

8. Deep learning techniques applied to the physics of extensive air showers

Mr Juan Miguel Carceller (University of Granada)

2/19/19, 9:57 AM

9. Inspection of the AIXNET network for air shower reconstruction

Mr Niclas Eich (RWTH Aachen University)

2/19/19, 10:16 AM

10. Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data

Mr Matthias Büchele (ECAP / University of Erlangen )

2/19/19, 11:05 AM

11. Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning

Felix Schlüter (Karlsruhe Institute of Technology - IKP)

2/19/19, 11:24 AM

27. Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network

Mr Pavel Bezyazeekov (Irkutsk State University)

2/19/19, 11:43 AM

23. Event classification in Compton-Pair telescopes using Deep Learning Techniques

Mr Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)

2/19/19, 12:02 PM

12. Cascade Reconstruction in IceCube using Generative Networks

Mirco Huennefeld (TU Dortmund)

2/19/19, 12:21 PM

13. Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network

Mr Thorben Quast (CERN)

2/19/19, 12:40 PM

14. Deep Learning and Mathematical Modeling: Taking the Best out of Both Worlds

Prof. Gitta Kutyniok (TU Berlin)

2/19/19, 2:30 PM

15. Contracting alignment patterns of mixed composition nuclei

Marcus Wirtz (RWTH Aachen University)

2/19/19, 3:10 PM

16. Exploring Optical Properties of Antarctic Ice with IceCube Using Gradient Descent

Mr Alexander Harnisch (TU Dortmund)

2/19/19, 3:30 PM