Name: HAP Workshop | Big Data Science in Astroparticle Physics
Start: 2017-02-20T13:00:00+01:00
End: 2017-02-22T14:00:00+01:00
Location: RWTH Aachen University SuperC

HAP Workshop | Big Data Science in Astroparticle Physics

from Monday, February 20, 2017 (1:00 PM) to Wednesday, February 22, 2017 (2:00 PM)

Monday, February 20, 2017

1:00 PM

1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 3:45 PM
Contributions

2:00 PM Welcome: Dean of Faculty of Mathematics, Computer Science and Natural Sciences - Stefan Schael (RWTH Aachen University)

2:15 PM Deep Learning Tutorial: basic concepts, fully connected networks - David Walz (RWTH Aachen University, III Physikalisches Institut A)
3:45 PM Coffee
Coffee
3:45 PM - 4:15 PM
4:15 PM Deep Learning tutorial: advanced architectures, convolutional networks
Deep Learning tutorial: advanced architectures, convolutional networks
4:15 PM - 6:30 PM
Contributions

4:15 PM Deep Learning Tutorial: advanced architectures, convolutional networks - David Walz (RWTH Aachen University, III Physikalisches Institut A)
Tuesday, February 21, 2017
9:00 AM
9:00 AM - 10:45 AM
Contributions

9:00 AM Organisational Matter - Martin Erdmann (RWTH Aachen University)

9:15 AM Deep Learning for neutrino telescopes - Stefan GEIßELSÖDER (ECAP, Friedrich-Alexander-Universität Erlangen)

9:40 AM Deep Learning in Astroparticle Physics exemplified by the Reconstruction of Muon‐Neutrino Events in IceCube - Mirco HÜNNEFELD (TU Dortmund)

10:05 AM Recognizing patterns in the arrival directions of ultra‐high energy cosmic rays using deep neural networks - Marcus Wirtz (RWTH Aachen University)

10:30 AM Message of the Vice-Rector for Research and Structure of the RWTH Aachen University - Rudolf Mathar (RWTH Aachen University)
10:45 AM Coffee
Coffee
10:45 AM - 11:15 AM
11:15 AM
11:15 AM - 12:45 PM
Contributions

11:15 AM Convolutional Networks in Computer Vision - Bastian Leibe (RWTH Aachen University)

12:05 PM Machine Learning in gamma‐ray astronomy: More than just Background‐Suppression - Maximilian NOETHE (TU Dortmund)

12:25 PM Pattern recognition in KM3NeT: A multi-dimensional challenge - Joao COELHO (APC Paris)
1:00 PM Lunch
Lunch
1:00 PM - 2:15 PM
2:30 PM
2:30 PM - 4:15 PM
Contributions

2:30 PM Spatiotemporal Integration in Recurrent Deep Neural Networks - Sven Behnke (University of Bonn, Computer Science Institute VI)

3:15 PM Exploring deep network architectures to reconstruct cosmic ray induced air showers - Jonas Glombitza (RWTH Aachen University)

3:35 PM Using neural nets to predict SUSY yields at the LHC - Jamie TATTERSALL (RWTH Aachen Unversity)

3:55 PM Event reconstruction and classification in proton-proton collisions using deep neural networks - Yannik Rath (RWTH Aachen University)
4:15 PM Coffee
Coffee
4:15 PM - 4:45 PM
4:45 PM Deep Learning
Deep Learning
4:45 PM - 5:20 PM
Contributions

4:45 PM Biological neuronal networks - from structure to activity - Moritz Helias (Research Centre Jülich, Institute of Neuroscience and Medicine)
5:25 PM
5:25 PM - 6:30 PM
Contributions

5:25 PM CREDO: a global cosmic-ray analysis and data processing challenges - Oleksandr SUSHCHOV (Institute of Nuclear Physics, Polish Academy of Sciences)

5:45 PM Workflow Management for user analyses in particle physics - Robert Fischer (RWTH Aachen University)

6:05 PM GPU usage of Auger data in the Offline Framework - Julian Rautenberg (Bergiscche Universität Wuppertal)
7:00 PM Conference Dinner
Conference Dinner
7:00 PM - 10:00 PM
Wednesday, February 22, 2017
9:00 AM
9:00 AM - 10:40 AM
Contributions

9:00 AM The path to the SKA: Big data challenges in radio astronomy - Ewan BARR (Max Planck Institut fuer Radioastronomie, Bonn)

9:50 AM Data Publishing, Standards, and the Payoff: A Brief Account of the Astronomical Virtual Observatory - Markus DEMLEITNER (GAVO, Universität Heidelberg)
10:40 AM Coffee
Coffee
10:40 AM - 11:10 AM
11:10 AM Open software & analysis presentation
Open software & analysis presentation
11:10 AM - 12:00 PM
Contributions

11:10 AM KCDC: data preservation and publication - Andreas Haungs (KIT)

11:35 AM Accelerating the Digital Transformation in Science - Mikael Gast (Federal Ministry of Education and Research)
12:00 PM
12:00 PM - 12:45 PM
Contributions

12:00 PM Discussion - Andreas Haungs (KIT) Martin Erdmann (RWTH Aachen University)
1:00 PM depart
depart
1:00 PM - 2:00 PM

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