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Big Data Science in Astroparticle Research - HAP 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

Castle Erlangen (© Erich Malter)

Poster High-res (20 MB)
Poster Low-res
Participants
  • Adam Elwood
  • Alexander Harnisch
  • Alexander Schmidt
  • Alicia Fattorini
  • Alina Badescu
  • Alina Nasr Esfahani
  • Amar Hekalo
  • Andreas Haungs
  • Andrzej Novak
  • Anna Pollmann
  • Anthony Rawson
  • Ariel Bridgeman
  • Benjamin Fischer
  • Carlos Brandt
  • Christian Beecks
  • David Schmidt
  • David Wittkowski
  • Dennis Noll
  • Dmitriy Kostunin
  • Dmitry Malyshev
  • Donghwa Kang
  • Erik Geiser
  • Felix Neubürger
  • Felix Schlueter
  • Florian Briechle
  • Florian Führer
  • Gerlinde Schmidt
  • Gerrit Wrede
  • Giovanni Renzi
  • Helena Nawrath
  • Idan Shilon
  • Jan Spinne
  • Jiri Blazek
  • Joeran Stettner
  • Jonas Glombitza
  • Jonas Ringholz
  • Joshua Luckey
  • Joshua Rosaler
  • Julian Rautenberg
  • Kevin Schmidt
  • Kevin Sedlaczek
  • Konstantin Pfrang
  • Krause Raphael
  • Lasse Halve
  • Lena Linhoff
  • Luca Mastrolorenzo
  • Lukas Geiger
  • Lukas Klamt
  • Lukas Schrenk
  • Lutz Wallhorn
  • Manuel Dörr
  • Marcel Rieger
  • Marcus Wirtz
  • Marie-Therese Puth
  • Markus Roth
  • Markus Stoye
  • Martin Erdmann
  • Martin Urban
  • Matthias Büchele
  • Maximilian Kronmueller
  • Maximilian Nöthe
  • Michael Krämer
  • Michael Moser
  • Michael Seeg
  • Michele Caselle
  • Mirco Hünnefeld
  • Nadège Iovine
  • Niclas Eich
  • Owen Goodwin
  • Paul Ray Burd
  • Paula Bigalke
  • Peter Wittenburg
  • Philipp Hoffmann
  • Philipp Mertsch
  • Philipp Soldin
  • Radomir Smida
  • Samuel Timothy Spencer
  • Sara Leardini
  • Sebastien Clesse
  • Simone Mender
  • Stefan Geißelsöder
  • Tatevik Mkrtchyan
  • Teresa Bister
  • Thomas Jung
  • Thomas Kittler
  • Thorsten Glüsenkamp
  • Tim Huege
  • Tim Lukas Holch
  • Tobias Hoinka
  • Tobias Jammer
  • Tobias Ziegler
  • Tony Hey
  • Uli Katz
  • Uwe Klemradt
  • Vladimir Lenok
  • Weijia Wang
  • Wojciech Samek
  • Xavier COUBEZ
  • Xiaoyuan Huang
  • Yannik Rath
  • Zigfried Hampel-Arias
contact
  • Monday, February 19
    • 1:00 PM → 2:00 PM
      Arrive
    • 2:00 PM → 3:45 PM
      Deep Learning
      • 2:00 PM
        Welcome and organizational matters 10m
        Speaker: Prof. Martin Erdmann (RWTH Aachen University)
        Slides
      • 2:15 PM
        Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures 1h 30m
        Speaker: Mr Yannik Rath (RWTH Aachen University)
        Slides
    • 3:45 PM → 4:15 PM
      Coffee
    • 4:15 PM → 6:15 PM
      Deep Learning
      • 4:15 PM
        Tutorial on Adversarial Generative Networks, Wasserstein distance 1h 30m
        Speaker: Mr Jonas Glombitza (RWTH Aachen University)
        Slides
  • Tuesday, February 20
    • 9:00 AM → 10:40 AM
      Deep Learning
      • 9:00 AM
        Welcome Message of the Vice-Rector for Research and Structure 15m
        Speaker: Prof. Rudolf Mathar (RWTH Aachen University)
      • 9:15 AM
        DeepJet: jet classification with the CMS experiment 40m
        Speaker: Dr Markus Stoye (CERN)
        Slides
      • 10:00 AM
        Application of machine learning methods to H.E.S.S. data analysis 15m
        Speaker: Dr Idan Shilon (ECAP University Erlangen)
        Slides
      • 10:20 AM
        Event Reconstruction in IceCube using Deep Learning Techniques 15m
        Speaker: Mr Mirco Huennefeld (TU Dortmund)
        Slides
    • 10:40 AM → 11:10 AM
      Coffee
    • 11:10 AM → 1:00 PM
      Deep Learning
      • 11:55 AM
        Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks 15m
        Speaker: Mr Lukas Geiger (RWTH Aachen University)
        Slides
      • 12:15 PM
        HexagDLy - Hexagonal Convolutions with PyTorch 15m
        Speaker: Mr Tim Lukas Holch (Humboldt University Berlin)
        Slides
      • 12:35 PM
        Deep machine learning implementation in FPGA 15m
        Speakers: Dr Michele Caselle (KIT), Mr Weijia WANG
        Slides
    • 1:00 PM → 2:30 PM
      Lunch
    • 2:30 PM → 4:00 PM
      Deep Learning
      • 2:30 PM
        Making Deep Neural Networks Transparent 40m
        Speaker: Dr Wojciech Samek (Fraunhofer Heinrich Hertz Institute Berlin)
        Slides
      • 3:15 PM
        Denoising radio traces with autoencoder on Tunka-Rex experiment 15m
        Speaker: Dr Dmitriy Kostunin (IKP KIT Karlsruhe)
        Slides
      • 3:35 PM
        Deep Neural Network searching for an air shower radio signal 15m
        Speaker: Radomir Smida (Karlsruhe Institute of Technology (KIT))
        Slides
    • 4:00 PM → 4:30 PM
      Coffee
    • 4:30 PM → 5:00 PM
      Deep Learning: 1-2 Transparencies
      • 4:30 PM
        Investigating deep convolutional autoencoders to mitigate systematic differences between data and simulations 10m
        Speaker: Dr Stefan Geißelsöder (ECAP, FAU Erlangen)
        Slides
      • 4:45 PM
        Using Deep Learning to optimise a SUSY search at CMS 10m
        Speaker: Dr Adam Elwood (DESY Hamburg)
        Slides
    • 5:00 PM → 6:00 PM
      Open Data, Data Centers, Computing Technology
      • 5:00 PM
        Introduction to Open Data 15m
        Speaker: Prof. Uli Katz (ECAP / Univ. Erlangen)
        Slides
      • 5:20 PM
        FACT Open Data Release 15m
        Speaker: Mr Maximilian Nöthe (Herr)
        Slides
    • 7:00 PM → 10:00 PM
      Conference Dinner
  • Wednesday, February 21
    • 9:00 AM → 10:50 AM
      Open Data, Data Centers, Computing Technology
      • 9:00 AM
        Research Data Alliance 40m
        Speaker: Dr Peter Wittenburg (Max Planck Institute for Psycholinguistics Nijmegen, NL)
        Slides
      • 9:45 AM
        Big scientific data and Data Science 40m
        Speaker: Prof. Tony Hey (Rutherford Appleton Laboratory, UK)
        Slides
    • 10:50 AM → 11:20 AM
      Coffee
    • 11:20 AM → 12:00 PM
      Open Data, Data Centers, Computing Technology
      • 11:20 AM
        Progress on analysis and data centre for astroparticle physics 15m
        Speaker: Dr Andreas Haungs (KIT)
        Slides
      • 11:40 AM
        Concrete goals for (Astro-)particle progress related to Big Data Science 15m
        Speaker: Prof. Alexander Schmidt (RWTH Aachen University)
        Slides
    • 12:00 PM → 1:00 PM
      Discussion on perspectives and common efforts
      • 12:00 PM
        Discussion 45m
        Speakers: Dr Andreas Haungs (KIT), Prof. Martin Erdmann (RWTH Aachen University)
        Slides
    • 1:00 PM → 2:00 PM
      Depart
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