HAP Workshop | Big Data Science in Astroparticle Physics

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

Castle Erlangen (© Erich Malter)

Poster
Participants
  • Aatif Waza
  • Andrea Porelli
  • Andreas Haungs
  • Anna Julia Zsigmond
  • Bastian LEIBE
  • Bianca Keilhauer
  • Birgitta Weltermann
  • Christian Glaser
  • Christian Haack
  • Christopher McCabe
  • Christopher Wiebusch
  • Clemens Hassel
  • Constantin Steppa
  • Daniel Kuempel
  • Dario Gueter
  • David Walz
  • Deanna C. Hooper
  • Dirk Heinen
  • Dmitriy Kostunin
  • Eric Mayotte
  • Eric Per Vogel
  • Erik Geiser
  • Ewan Barr
  • Fabian Klimpel
  • Florian von Cube
  • Frederik Lauber
  • Gero Müller
  • Holger Kluck
  • Idan Shilon
  • Ignacio Izaguirre
  • Iryna Lypova
  • Jamie Tattersall
  • Jan Auffenberg
  • Joao Coelho
  • Joeran Stettner
  • Johannes Knapp
  • Jonas Glombitza
  • Joshua Luckey
  • Julian Rautenberg
  • Julien Lesgourgues
  • Karl Rieger
  • Konrad Mielke
  • Kurt Rinnert
  • Lars Mohrmann
  • Lena Linhoff
  • Lisa Schumacher
  • Marcus Wirtz
  • Markus Demleitner
  • Markus Roth
  • Markus Vehring
  • Martin Bissok
  • Martin Brenzke
  • Martin Erdmann
  • Martin Leuermann
  • Martin Stahlberg
  • Marvin Gottowik
  • Matteo Giomi
  • Max Mahlke
  • Maximilian Noethe
  • Maximilian Totzauer
  • Michael Blank
  • Michael Krämer
  • Michele Mastropietro
  • Mikael GAST
  • Mirco Hünnefeld
  • Moritz Helias
  • Norman Haußmann
  • Oleksandr Sushchov
  • Philip Rühl
  • Philipp Wagner
  • Piotr Kalaczynski
  • Rafał Goryl
  • Ralf Wischnewski
  • René Reimann
  • Robert Fischer
  • Sebastien Clesse
  • Sonja Schröder
  • Stefan Geißelsöder
  • Stephan Scholl
  • Susanne Schipmann
  • Sven Behnke
  • Swasti Belwal
  • Thejs Brinckmann
  • Theo Glauch
  • Thomas Bretz
  • Thomas Eberl
  • thomas gasparetto
  • Tim Lukas Holch
  • Tim Niggemann
  • Tobias Winchen
  • Tobias Ziegler
  • Uwe Klemradt
  • Valentin Kozlov
  • Yannik Rath
  • Yu Xu
  • Zhongyi Zhang
    • 13:00 14:00
      arrive
    • 14:00 15:45
      Deep Learning tutorial
      • 14:00
        Welcome: Dean of Faculty of Mathematics, Computer Science and Natural Sciences 15m
        Speaker: Prof. Stefan Schael (RWTH Aachen University)
      • 14:15
        Deep Learning Tutorial: basic concepts, fully connected networks 1h 30m
        Speaker: Mr. David Walz (RWTH Aachen University, III Physikalisches Institut A)
        Slides
    • 15:45 16:15
      Coffee 30m
    • 16:15 18:30
      Deep Learning tutorial: Deep Learning tutorial: advanced architectures, convolutional networks
      Convener: Mr. David Walz (RWTH Aachen University, III Physikalisches Institut A)
      • 16:15
        Deep Learning Tutorial: advanced architectures, convolutional networks 1h 45m
        Speaker: Mr. David Walz (RWTH Aachen University, III Physikalisches Institut A)
    • 09:00 10:45
      Deep Learning
      • 09:00
        Organisational Matter 15m
        Speaker: Prof. Martin Erdmann (RWTH Aachen University)
        Slides
      • 09:15
        Deep Learning for neutrino telescopes 20m
        Speaker: Dr. Stefan GEIßELSÖDER (ECAP, Friedrich-Alexander-Universität Erlangen)
        Slides
      • 09:40
        Deep Learning in Astroparticle Physics exemplified by the Reconstruction of Muon‐Neutrino Events in IceCube 20m
        Speaker: Mr. Mirco HÜNNEFELD (TU Dortmund)
        Slides
      • 10:05
        Recognizing patterns in the arrival directions of ultra‐high energy cosmic rays using deep neural networks 20m
        Speaker: Mr. Marcus Wirtz (RWTH Aachen University)
        Slides
      • 10:30
        Message of the Vice-Rector for Research and Structure of the RWTH Aachen University 15m
        data driven modeling und match of the topic to the strategy of RWTH
        Speaker: Prof. Rudolf Mathar (RWTH Aachen University)
    • 10:45 11:15
      Coffee 30m
    • 11:15 12:45
      Deep Learning
      • 11:15
        Convolutional Networks in Computer Vision 45m
        Speaker: Prof. Bastian Leibe (RWTH Aachen University)
        Slides
      • 12:05
        Machine Learning in gamma‐ray astronomy: More than just Background‐Suppression 20m
        Speaker: Mr. Maximilian NOETHE (TU Dortmund)
        Slides
      • 12:25
        Pattern recognition in KM3NeT: A multi-dimensional challenge 20m
        Speaker: Dr. Joao COELHO (APC Paris)
        Slides
    • 13:00 14:15
      Lunch 1h 15m
    • 14:30 16:15
      Deep Learning
      • 14:30
        Spatiotemporal Integration in Recurrent Deep Neural Networks 45m
        Speaker: Prof. Sven Behnke (University of Bonn, Computer Science Institute VI)
        Slides
      • 15:15
        Exploring deep network architectures to reconstruct cosmic ray induced air showers 20m
        Speaker: Mr. Jonas Glombitza (RWTH Aachen University)
        Slides
      • 15:35
        Using neural nets to predict SUSY yields at the LHC 20m
        Speaker: Prof. Jamie TATTERSALL (RWTH Aachen Unversity)
        Slides
      • 15:55
        Event reconstruction and classification in proton-proton collisions using deep neural networks 20m
        Speaker: Mr. Yannik Rath (RWTH Aachen University)
        Slides
    • 16:15 16:45
      Coffee 30m
    • 16:45 17:20
      Deep Learning
      • 16:45
        Biological neuronal networks - from structure to activity 35m
        Speaker: Prof. Moritz Helias (Research Centre Jülich, Institute of Neuroscience and Medicine)
        Slides
    • 17:25 18:30
      Open data
      • 17:25
        CREDO: a global cosmic-ray analysis and data processing challenges 20m
        Speaker: Mr. Oleksandr SUSHCHOV (Institute of Nuclear Physics, Polish Academy of Sciences)
        Slides
      • 17:45
        Workflow Management for user analyses in particle physics 20m
        Speaker: Mr. Robert Fischer (RWTH Aachen University)
        Slides
      • 18:05
        GPU usage of Auger data in the Offline Framework 20m
        Speaker: Dr. Julian Rautenberg (Bergiscche Universität Wuppertal)
        Slides
    • 19:00 22:00
      Conference Dinner 3h Restaurant

      Restaurant

    • 09:00 10:40
      Open software & analysis presentation
      • 09:00
        The path to the SKA: Big data challenges in radio astronomy 45m
        Speaker: Dr. Ewan BARR (Max Planck Institut fuer Radioastronomie, Bonn)
        Slides
      • 09:50
        Data Publishing, Standards, and the Payoff: A Brief Account of the Astronomical Virtual Observatory 45m
        Speaker: Dr. Markus DEMLEITNER (GAVO, Universität Heidelberg)
        Slides
    • 10:40 11:10
      Coffee 30m
    • 11:10 12:00
      Open software & analysis presentation
      • 11:10
        KCDC: data preservation and publication 20m
        Speaker: Dr. Andreas Haungs (KIT)
        Slides
      • 11:35
        Accelerating the Digital Transformation in Science 20m
        Speaker: Dr. Mikael Gast (Federal Ministry of Education and Research)
    • 12:00 12:45
      Discussion on perspectives of common efforts
      • 12:00
        Discussion 45m
        Speakers: Dr. Andreas Haungs (KIT), Prof. Martin Erdmann (RWTH Aachen University)
        Slides
    • 13:00 14:00
      depart 1h
Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×