Big Data Science in Astroparticle Research - Workshop

Europe/Berlin
RWTH Aachen University SuperC

RWTH Aachen University SuperC

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

Helmholtz Alliance for Astroparticle Physics HAP

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


Castle Erlangen (© Erich Malter)

Surveys
Big Data Science in Astroparticle Research - Evaluation
    • 1:00 PM 2:00 PM
      Arrive
    • 2:00 PM 3:45 PM
      Beginners Tutorial Ford-Room: Deep Learning
      • 2:00 PM
        Short Welcome 10m
        Speaker: Martin Erdmann (RWTH Aachen University)
      • 2:10 PM
        Deep Learning for Newcomers: Neural Network Basics 1h 30m
        Speaker: Peter Fackeldey (III. Physikalisches Institut A, RWTH Aachen University)
    • 2:00 PM 3:45 PM
      Tutorial: Generali Room: Advanced Deep Networks
    • 3:45 PM 4:15 PM
      Coffee
    • 4:15 PM 5:15 PM
      Beginners Tutorial Ford-Room: Deep Learning
      • 4:15 PM
        Deep Learning for Newcomers: Neural Network Architectures 1h
        Speaker: Peter Fackeldey (III. Physikalisches Institut A, RWTH Aachen University)
    • 4:15 PM 6:00 PM
      Tutorial: Generali Room: Advanced Deep Networks
    • 9:00 AM 10:00 AM
      Big Data Science in Fundamental Physics Research: Perspectives of Big Data Science
      • 9:00 AM
        Welcome to the RWTH Aachen University 20m
        Speaker: Prof. Carsten Honerkamp
      • 9:20 AM
        ErUM-Data: Modern Digitization in Research on Universe and Matter 40m
        Speaker: Prof. Thomas Kuhr (LMU Munich)
    • 10:00 AM 10:40 AM
      Deep Learning
      • 10:00 AM
        Applying Dynamic Graph CNN to reconstruct the direction of electrons in JUNO 20m
        Speaker: Mr Hauke Schmidt (Hamburg)
      • 10:20 AM
        Identification of Cosmic Rays from Sources using Dynamic Graph Convolutional Neural Networks 20m
        Speaker: Mr Niklas Langner (RWTH Aachen University)
    • 10:40 AM 11:10 AM
      Coffee
    • 11:10 AM 1:00 PM
      Deep Learning
      • 11:10 AM
        FPGA Belle II Trigger 40m
        Speaker: Mr Steffen Bähr (KIT)
      • 11:50 AM
        FPGA Trigger of SuperCDMS 20m
        Speaker: Dr Hanno Meyer zu Theenhausen (DESY)
      • 12:10 PM
        Xmax Reconstruction with AugerPrime using Deep Learning 20m
        Speaker: Sonja Schröder (Bergische Universtität Wuppertal)
      • 12:30 PM
        1) Lowering the threshold of Tunka-Rex with autoencoder; 2) Toward Tunka-Rex Virtual Observatory 20m
        Speaker: Dmitriy Kostunin (DESY)
    • 1:00 PM 2:30 PM
      Lunch
    • 2:30 PM 3:50 PM
      Deep Learning
      • 2:30 PM
        Bayesian Networks (exact title & title tbc) 40m
        Speaker: Prof. Tilman Plehn (University Heidelberg)
      • 3:10 PM
        Exploitation of Symmetries and prior Knowledge in Deep Learning Architectures for IceCube 20m
        Speaker: Mirco Huennefeld (TU Dortmund)
      • 3:30 PM
        Addressing domain adaptation issues with CRNNs and VERITAS data 20m
        Speaker: Mr Samuel Spencer (University of Oxford)
    • 3:50 PM 4:20 PM
      Coffee
    • 4:20 PM 6:00 PM
      Deep Learning
      • 4:20 PM
        Modern Machine Learning in Astronomy (exact title & title tbc) 40m
        Speaker: Dr Kai Polsterer (HITS Heidelberg)
      • 5:00 PM
        Determining the distribution of interstellar gas with information field theory 20m
        Speaker: Dr Andrea Vittino (RWTH Aachen University)
      • 5:20 PM
        Searching Pulsars Using Neural Networks 20m
        Speaker: Mr Lars Künkel (University Bielefeld)
      • 5:40 PM
        The Astrophysical Multimessenger Observatory Network (AMON) 20m
        Speaker: Prof. Miguel Mostafa (Penn State University)
    • 7:00 PM 10:00 PM
      Conference Dinner
    • 9:00 AM 9:40 AM
      Deep Learning
      • 9:00 AM
        Simulation of Extensive Air Showers with Deep Neural Networks 20m
        Speaker: Marcel Köpke (Karlsruhe Institute of Technology)
      • 9:20 AM
        Physics motivated GAN for generating fourmomenta 20m
        Speaker: Mr Niclas Eich (RWTH Aachen University)
    • 9:40 AM 10:40 AM
      Open Data, Data Centers, Computing Technology
      • 9:40 AM
        The Astro@NFDI Endevour 40m
        Speaker: Dr Harry Enke (Leibniz-Institut für Astrophysik Potsdam (AIP))
      • 10:20 AM
        Open data and machine learning in German--Russian Data Life Cycle initiative 20m
        Speaker: Victoria Tokareva (KIT)
    • 10:40 AM 11:10 AM
      Coffee
    • 11:10 AM 11:50 AM
      Open Data, Data Centers, Computing Technology
    • 11:50 AM 1:00 PM
      Discussion on perspectives and common efforts
    • 1:00 PM 2:00 PM
      Depart