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Big Data Science in Astroparticle Research - Workshop

from Monday, 18 February 2019 (13:00) to Wednesday, 20 February 2019 (15:00)
RWTH Aachen University SuperC

        : Sessions
    /     : Talks
        : Breaks
18 Feb 2019
19 Feb 2019
20 Feb 2019
AM
09:00
Deep Learning (until 10:35) ()
09:00 Welcome at the RWTH Aachen University - Prof. Carsten Honerkamp (RWTH Aachen University)   ()
09:19 Deep Neural Networks for Energy and Position Reconstruction in EXO-200 - Mr. Tobias Ziegler (ECAP Erlangen)   ()
09:38 A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc) - Mr. Davide Porzio (University of Manchester)   ()
09:57 Deep learning techniques applied to the physics of extensive air showers - Mr. Juan Miguel Carceller (University of Granada)   ()
10:16 Inspection of the AIXNET network for air shower reconstruction - Mr. Niclas Eich (RWTH Aachen University)   ()
10:35
Coffee (until 11:05) ()
11:05
Deep Learning (until 13:00) ()
11:05 Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data - Mr. Matthias Büchele (ECAP / University of Erlangen )   ()
11:24 Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning - Felix Schlüter (Karlsruhe Institute of Technology - IKP)   ()
11:43 Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network - Mr. Pavel Bezyazeekov (Irkutsk State University)   ()
12:02 Event classification in Compton-Pair telescopes using Deep Learning Techniques - Mr. Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)   ()
12:21 Cascade Reconstruction in IceCube using Generative Networks - Mirco Huennefeld (TU Dortmund)   ()
12:40 Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network - Mr. Thorben Quast (CERN)   ()
09:00
Open Data, Data Centers, Computing Technology (until 10:40) ()
09:00 The ESCAPE project and the EOSC - Kay Graf (ECAP - University of Erlangen)   ()
09:40 CTA Software and Science Data Management - Dr. Igor Oya (CTAO gGmbH)   ()
10:20 Open high-level data and tools for gamma-ray astronomy - Dr. Christoph Deil (MPIK Heidelberg)   ()
10:40
Coffee (until 11:10) ()
11:10
Open Data, Data Centers, Computing Technology (until 12:05) ()
11:10 Data engineering for joint analysis of different astroparticle data in KRAD project - Victoria Tokareva (KIT)   ()
11:30 Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter - Andreas Haungs (KIT)   ()
PM
13:00
Arrive (until 14:00) ()
14:00
Tutorial: Information Field Theory: Ford Room (until 15:45) ()
14:00 Welcome and organizational matters - Martin Erdmann (RWTH Aachen University)   ()
14:10 Introduction tutorial to Information Field Theory and Exercises - Torsten Enßlin (MPI for Astrophysics)   ()
15:45
Coffee (until 16:15) ()
16:15
Beginners Tutorial Deep Learning (until 18:15) ()
16:15 Beginners Tutorial Deep Networks: Introduction - Jonas Glombitza (RWTH Aachen University)   ()
16:15
Tutorial: Information Field Theory: Ford Room (until 18:15) ()
16:15 Introduction tutorial to Information Field Theory and Exercises - Torsten Enßlin (MPI for Astrophysics)   ()
13:00
Lunch (until 14:30) ()
14:30
Deep Learning (until 15:50) ()
14:30 Deep Learning and Mathematical Modeling: Taking the Best out of Both Worlds - Prof. Gitta Kutyniok (TU Berlin)   ()
15:10 Contracting alignment patterns of mixed composition nuclei - Marcus Wirtz (RWTH Aachen University)   ()
15:30 Exploring Optical Properties of Antarctic Ice with IceCube Using Gradient Descent - Mr. Alexander Harnisch (TU Dortmund)   ()
15:50
Coffee (until 16:20) ()
16:20
Deep Learning (until 18:00) ()
16:20 Data Science in Astroparticle Physics - Tim Ruhe (TU Dortmund)   ()
17:00 Bayesian reconstruction of the cosmic Dark Matter velocity field - Dr. Florian Fuehrer (Institut d'Astrophysique de Paris)   ()
17:20 Autonomous Physics-Inspired Feature Engineering - Marcel Rieger (RWTH Aachen)   ()
17:40 Exploring Antarctic Ice Properties Using Generative Neural Networks - Mr. Sebastian Bange (TU Dortmund)   ()
19:00
Conference Dinner (until 22:00) ()
12:05
Discussion on perspectives and common efforts (until 13:00) ()
13:00
Depart (until 14:00) ()
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