Name: Big Data Science in Astroparticle Research - Workshop
Start: 2019-02-18T13:00:00+01:00
End: 2019-02-20T15:00:00+01:00
Location: RWTH Aachen University SuperC

Monday, February 18
- Arrive
- Tutorial: Information Field Theory: Ford Room
  - 1
    
    Welcome and organizational matters
    
    Speaker: Martin Erdmann (RWTH Aachen University)
    
    Introduction.pdf
  - 2
    
    Introduction tutorial to Information Field Theory and Exercises
    
    Speaker: Torsten Enßlin (MPI for Astrophysics)
    
    IFT_Ensslin.pdf
    
    Information field theory
- Coffee
- Beginners Tutorial Deep Learning: Generali Room
  - 3
    
    Beginners Tutorial Deep Networks: Introduction
    
    Speaker: Jonas Glombitza (RWTH Aachen University)
    
    BasicDeepLearningTutorial2019.pdf
- Tutorial: Information Field Theory: Ford Room
  - 4
    
    Introduction tutorial to Information Field Theory and Exercises
    
    Speaker: Torsten Enßlin (MPI for Astrophysics)
Tuesday, February 19
- Deep Learning
  - 5
    
    Welcome at the RWTH Aachen University
    
    Speaker: Prof. Carsten Honerkamp (RWTH Aachen University)
  - 6
    
    Deep Neural Networks for Energy and Position Reconstruction in EXO-200
    
    Speaker: Mr Tobias Ziegler (ECAP Erlangen)
    
    HAP_aachen19_ziegler.pdf
    
    Publication
  - 7
    
    A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc)
    
    Speaker: Mr Davide Porzio (University of Manchester)
    
    HAP_aachen19_porzio.pdf
    
    Publication
  - 8
    
    Deep learning techniques applied to the physics of extensive air showers
    
    Speaker: Mr Juan Miguel Carceller (University of Granada)
    
    HAP_aachen19_carceller.pdf
    
    Publication
  - 9
    
    Inspection of the AIXNET network for air shower reconstruction
    
    Speaker: Mr Niclas Eich (RWTH Aachen University)
    
    hap_workshop_19_Eich_inspection_aixnet_upload.pdf
- Coffee
- Deep Learning
  - 10
    
    Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data
    
    Speaker: Mr Matthias Büchele (ECAP / University of Erlangen )
    
    Büchele_DL_IACT.pdf
    
    Publication
  - 11
    
    Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning
    
    Speaker: Felix Schlüter (Karlsruhe Institute of Technology - IKP)
    
    HAP_aachen19_schlueter.pdf
    
    Publication
  - 12
    
    Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network
    
    Speaker: Mr Pavel Bezyazeekov (Irkutsk State University)
    
    bezyazeekov-bigdata-v2.pdf
  - 13
    
    Event classification in Compton-Pair telescopes using Deep Learning Techniques
    
    Speaker: Mr Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)
    
    HAP-Workshop2019-EventCategorizationCompPair.pdf
  - 14
    
    Cascade Reconstruction in IceCube using Generative Networks
    
    Speaker: Mirco Huennefeld (TU Dortmund)
    
    2019_02_19_HAP_Aachen_Huennefeld.pdf
  - 15
    
    Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
    
    Speaker: Mr Thorben Quast (CERN)
    
    Publication
    
    WassersteinGAN_HGCal_HAP_Feb2019.pdf
- Lunch
- Deep Learning
  - 16
    
    Deep Learning and Mathematical Modeling: Taking the Best out of Both Worlds
    
    Speaker: Prof. Gitta Kutyniok (TU Berlin)
    
    Talk_Aachen_2019_kutyniok.pdf
  - 17
    
    Contracting alignment patterns of mixed composition nuclei
    
    Speaker: Marcus Wirtz (RWTH Aachen University)
    
    compass.gif
    
    contracting_patterns.gif
    
    hap-2019-wirtz-contracting-patterns.pdf
    
    Publication
  - 18
    
    Exploring Optical Properties of Antarctic Ice with IceCube Using Gradient Descent
    
    Speaker: Mr Alexander Harnisch (TU Dortmund)
    
    HAP_aachen19_harnisch.pdf
- Coffee
- Deep Learning
  - 19
    
    Data Science in Astroparticle Physics
    
    Speaker: Tim Ruhe (TU Dortmund)
    
    Ruhe_HAP_Aachen_2019.pdf
  - 20
    
    Bayesian reconstruction of the cosmic Dark Matter velocity field
    
    Speaker: Dr Florian Fuehrer (Institut d'Astrophysique de Paris)
    
    HAP_aachen19_fuehrer.pdf
  - 21
    
    Autonomous Physics-Inspired Feature Engineering
    
    Speaker: Marcel Rieger (RWTH Aachen)
    
    2019-02-19_lbn.pdf
    
    Publication
  - 22
    
    Exploring Antarctic Ice Properties Using Generative Neural Networks
    
    Speaker: Mr Sebastian Bange (TU Dortmund)
    
    HAP_Bange.pdf
- Conference Dinner
Wednesday, February 20
- Open Data, Data Centers, Computing Technology
  - 23
    
    The ESCAPE project and the EOSC
    
    Speaker: Kay Graf (ECAP - University of Erlangen)
    
    20190220_ESCAPE_Overview_KGraf.pdf
  - 24
    
    CTA Software and Science Data Management
    
    Speaker: Dr Igor Oya (CTAO gGmbH)
    
    Aachen 2019_Oya.pdf
  - 25
    
    Open high-level data and tools for gamma-ray astronomy
    
    Speaker: Dr Christoph Deil (MPIK Heidelberg)
    
    2019-02-20_HAP_Workshop_Open_Gamma.pdf
- Coffee
- Open Data, Data Centers, Computing Technology
  - 26
    
    Data engineering for joint analysis of different astroparticle data in KRAD project
    
    Speaker: Victoria Tokareva (KIT)
    
    presHAP.pdf
  - 27
    
    Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter
    
    Speaker: Andreas Haungs (KIT)
    
    BigData-HAP-Aachen-Feb2019-Haungs.pdf
- Discussion on perspectives and common efforts
  
  summary-v3.pdf
- Depart

Big Data Science in Astroparticle Research - Workshop

RWTH Aachen University SuperC

Helmholtz Alliance for Astroparticle Physics HAP Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz der Deutschen Physikalischen Gesellschaft e. V. AKPIK

Helmholtz Alliance for Astroparticle Physics HAP

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