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Big Data Science in Astroparticle Research - Workshop

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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)

HAP-Workshop-2019-02_big-data_Aachen_high-res.pdf
HAP-Workshop-2019-02_big-data_Aachen_low-res.pdf
Previous Workshop 2017
Previous Workshop 2018
contact
  • Mon, February 18
    • 1:00 PM → 2:00 PM
      Arrive
    • 2:00 PM → 3:45 PM
      Tutorial: Information Field Theory: Ford Room
      • 2:00 PM
        Welcome and organizational matters 10m
        Speaker: Martin Erdmann (RWTH Aachen University)
        Introduction.pdf
      • 2:10 PM
        Introduction tutorial to Information Field Theory and Exercises 1h 35m
        Speaker: Torsten Enßlin (MPI for Astrophysics)
        IFT_Ensslin.pdf
        Information field theory
    • 3:45 PM → 4:15 PM
      Coffee
    • 4:15 PM → 6:15 PM
      Beginners Tutorial Deep Learning: Generali Room
    • 4:15 PM → 6:15 PM
      Tutorial: Information Field Theory: Ford Room
      • 4:15 PM
        Introduction tutorial to Information Field Theory and Exercises 2h
        Speaker: Torsten Enßlin (MPI for Astrophysics)
  • Tue, February 19
    • 9:00 AM → 10:35 AM
      Deep Learning
      • 9:00 AM
        Welcome at the RWTH Aachen University 15m
        Speaker: Prof. Carsten Honerkamp (RWTH Aachen University)
      • 9:19 AM
        Deep Neural Networks for Energy and Position Reconstruction in EXO-200 15m
        Speaker: Mr Tobias Ziegler (ECAP Erlangen)
        HAP_aachen19_ziegler.pdf
        Publication
      • 9:38 AM
        A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc) 15m
        Speaker: Mr Davide Porzio (University of Manchester)
        HAP_aachen19_porzio.pdf
        Publication
      • 9:57 AM
        Deep learning techniques applied to the physics of extensive air showers 15m
        Speaker: Mr Juan Miguel Carceller (University of Granada)
        HAP_aachen19_carceller.pdf
        Publication
      • 10:16 AM
        Inspection of the AIXNET network for air shower reconstruction 15m
        Speaker: Mr Niclas Eich (RWTH Aachen University)
        hap_workshop_19_Eich_inspection_aixnet_upload.pdf
    • 10:35 AM → 11:05 AM
      Coffee
    • 11:05 AM → 1:00 PM
      Deep Learning
      • 11:05 AM
        Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data 15m
        Speaker: Mr Matthias Büchele (ECAP / University of Erlangen )
        Büchele_DL_IACT.pdf
        Publication
      • 11:24 AM
        Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning 15m
        Speaker: Felix Schlüter (Karlsruhe Institute of Technology - IKP)
        HAP_aachen19_schlueter.pdf
        Publication
      • 11:43 AM
        Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network 15m
        Speaker: Mr Pavel Bezyazeekov (Irkutsk State University)
        bezyazeekov-bigdata-v2.pdf
      • 12:02 PM
        Event classification in Compton-Pair telescopes using Deep Learning Techniques 15m
        Speaker: Mr Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)
        HAP-Workshop2019-EventCategorizationCompPair.pdf
      • 12:21 PM
        Cascade Reconstruction in IceCube using Generative Networks 15m
        Speaker: Mirco Huennefeld (TU Dortmund)
        2019_02_19_HAP_Aachen_Huennefeld.pdf
      • 12:40 PM
        Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network 15m
        Speaker: Mr Thorben Quast (CERN)
        Publication
        WassersteinGAN_HGCal_HAP_Feb2019.pdf
    • 1:00 PM → 2:30 PM
      Lunch
    • 2:30 PM → 3:50 PM
      Deep Learning
    • 3:50 PM → 4:20 PM
      Coffee
    • 4:20 PM → 6:00 PM
      Deep Learning
      • 4:20 PM
        Data Science in Astroparticle Physics 35m
        Speaker: Tim Ruhe (TU Dortmund)
        Ruhe_HAP_Aachen_2019.pdf
      • 5:00 PM
        Bayesian reconstruction of the cosmic Dark Matter velocity field 15m
        Speaker: Dr Florian Fuehrer (Institut d'Astrophysique de Paris)
        HAP_aachen19_fuehrer.pdf
      • 5:20 PM
        Autonomous Physics-Inspired Feature Engineering 15m
        Speaker: Marcel Rieger (RWTH Aachen)
        2019-02-19_lbn.pdf
        Publication
      • 5:40 PM
        Exploring Antarctic Ice Properties Using Generative Neural Networks 15m
        Speaker: Mr Sebastian Bange (TU Dortmund)
        HAP_Bange.pdf
    • 7:00 PM → 10:00 PM
      Conference Dinner
  • Wed, February 20
    • 9:00 AM → 10:40 AM
      Open Data, Data Centers, Computing Technology
    • 10:40 AM → 11:10 AM
      Coffee
    • 11:10 AM → 12:05 PM
      Open Data, Data Centers, Computing Technology
      • 11:10 AM
        Data engineering for joint analysis of different astroparticle data in KRAD project 15m
        Speaker: Victoria Tokareva (KIT)
        presHAP.pdf
      • 11:30 AM
        Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter 30m
        Speaker: Andreas Haungs (KIT)
        BigData-HAP-Aachen-Feb2019-Haungs.pdf
    • 12:05 PM → 1:00 PM
      Discussion on perspectives and common efforts
      summary-v3.pdf
    • 1:00 PM → 2:00 PM
      Depart
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