Name: Big Data Science in Astroparticle Research - Workshop
Start: 2020-02-17T13:00:00+01:00
End: 2020-02-19T14:00:00+01:00
Location: RWTH Aachen University SuperC

Monday, February 17
- 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)
    
    Introduction.pdf
  - 2:10 PM
    
    Deep Learning for Newcomers: Neural Network Basics 1h 30m
    
    Speaker: Peter Fackeldey (III. Physikalisches Institut A, RWTH Aachen University)
    
    BasicDeepLearningTutorial2020.pdf
- 2:00 PM → 3:45 PM
  Tutorial: Generali Room: Advanced Deep Networks
  - 2:10 PM
    
    Graph Networks Tutorial 1h 30m
    
    Speaker: Jonas Glombitza (RWTH Aachen University)
    
    Graph_network_tutorial.pdf
- 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)
    
    BasicDeepLearningTutorial2020.pdf
- 4:15 PM → 6:00 PM
  Tutorial: Generali Room: Advanced Deep Networks
  - 4:15 PM
    
    Graph Networks Tutorial 1h 45m
    
    Speaker: Jonas Glombitza (RWTH Aachen University)
    
    Graph_network_tutorial.pdf
Tuesday, February 18
- 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)
    
    BigDataAachen0320.pdf
- 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)
    
    HAP2020_Hauke_Schmidt.pdf
  - 10:20 AM
    
    Identification of Cosmic Rays from Sources using Dynamic Graph Convolutional Neural Networks 20m
    
    Speaker: Mr Niklas Langner (RWTH Aachen University)
    
    HAP2020_Langner.pdf
- 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)
    
    20200218_baehr_bigdata.pdf
  - 11:50 AM
    
    FPGA Trigger of SuperCDMS 20m
    
    Speaker: Dr Hanno Meyer zu Theenhausen (DESY)
    
    SuperCdmsFpgaTrigger.pdf
  - 12:10 PM
    
    Xmax Reconstruction with AugerPrime using Deep Learning 20m
    
    Speaker: Sonja Schröder (Bergische Universtität Wuppertal)
    
    Xmax_AugerPrime_Schroeder.pdf
  - 12:30 PM
    
    1) Lowering the threshold of Tunka-Rex with autoencoder; 2) Toward Tunka-Rex Virtual Observatory 20m
    
    Speaker: Dmitriy Kostunin (DESY)
    
    kostunin-dl-bd-tunkarex.pdf
- 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)
    
    aachen_20_Plehn.pdf
  - 3:10 PM
    
    Exploitation of Symmetries and prior Knowledge in Deep Learning Architectures for IceCube 20m
    
    Speaker: Mirco Huennefeld (TU Dortmund)
    
    2020_02_18_HAP_Aachen.pdf
  - 3:30 PM
    
    Addressing domain adaptation issues with CRNNs and VERITAS data 20m
    
    Speaker: Mr Samuel Spencer (University of Oxford)
    
    Aachen ML.pdf
- 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)
    
    2020_Aachen_Polsterer.pdf
  - 5:00 PM
    
    Determining the distribution of interstellar gas with information field theory 20m
    
    Speaker: Dr Andrea Vittino (RWTH Aachen University)
    
    vittino_BigDataInAstroparticle.pdf
  - 5:20 PM
    
    Searching Pulsars Using Neural Networks 20m
    
    Speaker: Mr Lars Künkel (University Bielefeld)
    
    lkuenkel_aachen.pdf
  - 5:40 PM
    
    The Astrophysical Multimessenger Observatory Network (AMON) 20m
    
    Speaker: Prof. Miguel Mostafa (Penn State University)
    
    AMON-colloquium-BigData.pdf
- 7:00 PM → 10:00 PM
  
  Conference Dinner
Wednesday, February 19
- 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)
    
    koepke.pdf
  - 9:20 AM
    
    Physics motivated GAN for generating fourmomenta 20m
    
    Speaker: Mr Niclas Eich (RWTH Aachen University)
    
    EichHAPWorkshop2020.pdf
- 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))
    
    Astro-NFDI-endeavour.pdf
  - 10:20 AM
    
    Open data and machine learning in German--Russian Data Life Cycle initiative 20m
    
    Speaker: Victoria Tokareva (KIT)
    
    pres_HAP_20_tokareva_1.pdf
- 10:40 AM → 11:10 AM
  
  Coffee
- 11:10 AM → 11:50 AM
  Open Data, Data Centers, Computing Technology
  - 11:10 AM
    
    Particle & Astroparticle Physics @ NFDI 40m
    
    Speaker: Andreas Haungs (KIT)
    
    NFDI-HAP-Aachen-Feb2020-Haungs.pdf
- 11:50 AM → 1:00 PM
  
  Discussion on perspectives and common efforts
  
  discussion-v3.pdf
- 1:00 PM → 2:00 PM
  
  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