Big Data Science in Astroparticle Research - Workshop

RWTH Aachen University SuperC

RWTH Aachen University SuperC

RWTH Aachen University Templergraben 57, 52062 Aachen phone:0241 8090801
Andreas Haungs (KIT), Martin Erdmann

Helmholtz Alliance for Astroparticle Physics HAP

Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz der Deutschen Physikalischen Gesellschaft e. V. AKPIK

Castle Erlangen (© Erich Malter)

    • 13:00 14:00
    • 14:00 15:45
      Tutorial: Information Field Theory: Ford Room
      • 14:00
        Welcome and organizational matters 10m
        Speaker: Martin Erdmann (RWTH Aachen University)
      • 14:10
        Introduction tutorial to Information Field Theory and Exercises 1h 35m
        Speaker: Torsten Enßlin (MPI for Astrophysics)
    • 15:45 16:15
    • 16:15 18:15
      Beginners Tutorial Deep Learning: Generali Room
    • 16:15 18:15
      Tutorial: Information Field Theory: Ford Room
      • 16:15
        Introduction tutorial to Information Field Theory and Exercises 2h
        Speaker: Torsten Enßlin (MPI for Astrophysics)
    • 09:00 10:35
      Deep Learning
      • 09:00
        Welcome at the RWTH Aachen University 15m
        Speaker: Prof. Carsten Honerkamp (RWTH Aachen University)
      • 09:19
        Deep Neural Networks for Energy and Position Reconstruction in EXO-200 15m
        Speaker: Mr. Tobias Ziegler (ECAP Erlangen)
      • 09:38
        A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc) 15m
        Speaker: Mr. Davide Porzio (University of Manchester)
      • 09:57
        Deep learning techniques applied to the physics of extensive air showers 15m
        Speaker: Mr. Juan Miguel Carceller (University of Granada)
      • 10:16
        Inspection of the AIXNET network for air shower reconstruction 15m
        Speaker: Mr. Niclas Eich (RWTH Aachen University)
    • 10:35 11:05
    • 11:05 13:00
      Deep Learning
      • 11:05
        Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data 15m
        Speaker: Mr. Matthias Büchele (ECAP / University of Erlangen )
      • 11:24
        Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning 15m
        Speaker: Felix Schlüter (Karlsruhe Institute of Technology - IKP)
      • 11:43
        Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network 15m
        Speaker: Mr. Pavel Bezyazeekov (Irkutsk State University)
      • 12:02
        Event classification in Compton-Pair telescopes using Deep Learning Techniques 15m
        Speaker: Mr. Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)
      • 12:21
        Cascade Reconstruction in IceCube using Generative Networks 15m
        Speaker: Mirco Huennefeld (TU Dortmund)
      • 12:40
        Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network 15m
        Speaker: Mr. Thorben Quast (CERN)
    • 13:00 14:30
    • 14:30 15:50
      Deep Learning
    • 15:50 16:20
    • 16:20 18:00
      Deep Learning
      • 16:20
        Data Science in Astroparticle Physics 35m
        Speaker: Tim Ruhe (TU Dortmund)
      • 17:00
        Bayesian reconstruction of the cosmic Dark Matter velocity field 15m
        Speaker: Dr. Florian Fuehrer (Institut d'Astrophysique de Paris)
      • 17:20
        Autonomous Physics-Inspired Feature Engineering 15m
        Speaker: Marcel Rieger (RWTH Aachen)
      • 17:40
        Exploring Antarctic Ice Properties Using Generative Neural Networks 15m
        Speaker: Mr. Sebastian Bange (TU Dortmund)
    • 19:00 22:00
      Conference Dinner
    • 09:00 10:40
      Open Data, Data Centers, Computing Technology
    • 10:40 11:10
    • 11:10 12:05
      Open Data, Data Centers, Computing Technology
      • 11:10
        Data engineering for joint analysis of different astroparticle data in KRAD project 15m
        Speaker: Victoria Tokareva (KIT)
      • 11:30
        Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter 30m
        Speaker: Andreas Haungs (KIT)
    • 12:05 13:00
      Discussion on perspectives and common efforts
    • 13:00 14:00
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