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

Big Data Science in Astroparticle Research - Workshop

from Monday, February 17, 2020 (1:00 PM) to Wednesday, February 19, 2020 (2:00 PM)

Monday, February 17, 2020

1:00 PM

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

2:00 PM Short Welcome - Martin Erdmann (RWTH Aachen University)

2:10 PM Deep Learning for Newcomers: Neural Network Basics - Peter Fackeldey (III. Physikalisches Institut A, RWTH Aachen University)
Advanced Deep Networks
Advanced Deep Networks
2:00 PM - 3:45 PM
Contributions

2:10 PM Graph Networks Tutorial - Jonas Glombitza (RWTH Aachen University)
3:45 PM

3:45 PM - 4:15 PM
4:15 PM Deep Learning
Deep Learning
4:15 PM - 5:15 PM
Contributions

4:15 PM Deep Learning for Newcomers: Neural Network Architectures - Peter Fackeldey (III. Physikalisches Institut A, RWTH Aachen University)
Advanced Deep Networks
Advanced Deep Networks
4:15 PM - 6:00 PM
Contributions

4:15 PM Graph Networks Tutorial - Jonas Glombitza (RWTH Aachen University)
Tuesday, February 18, 2020
9:00 AM Perspectives of Big Data Science
Perspectives of Big Data Science
9:00 AM - 10:00 AM
Contributions

9:00 AM Welcome to the RWTH Aachen University - Carsten Honerkamp

9:20 AM ErUM-Data: Modern Digitization in Research on Universe and Matter - Thomas Kuhr (LMU Munich)
10:00 AM
10:00 AM - 10:40 AM
Contributions

10:00 AM Applying Dynamic Graph CNN to reconstruct the direction of electrons in JUNO - Hauke Schmidt (Hamburg)

10:20 AM Identification of Cosmic Rays from Sources using Dynamic Graph Convolutional Neural Networks - Niklas Langner (RWTH Aachen University)
10:40 AM

10:40 AM - 11:10 AM
11:10 AM
11:10 AM - 1:00 PM
Contributions

11:10 AM FPGA Belle II Trigger - Steffen Bähr (KIT)

11:50 AM FPGA Trigger of SuperCDMS - Hanno Meyer zu Theenhausen (DESY)

12:10 PM Xmax Reconstruction with AugerPrime using Deep Learning - Sonja Schröder (Bergische Universtität Wuppertal)

12:30 PM 1) Lowering the threshold of Tunka-Rex with autoencoder; 2) Toward Tunka-Rex Virtual Observatory - Dmitriy Kostunin (DESY)
1:00 PM

1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 3:50 PM
Contributions

2:30 PM Bayesian Networks (exact title & title tbc) - Tilman Plehn (University Heidelberg)

3:10 PM Exploitation of Symmetries and prior Knowledge in Deep Learning Architectures for IceCube - Mirco Huennefeld (TU Dortmund)

3:30 PM Addressing domain adaptation issues with CRNNs and VERITAS data - Samuel Spencer (University of Oxford)
3:50 PM

3:50 PM - 4:20 PM
4:20 PM
4:20 PM - 6:00 PM
Contributions

4:20 PM Modern Machine Learning in Astronomy (exact title & title tbc) - Kai Polsterer (HITS Heidelberg)

5:00 PM Determining the distribution of interstellar gas with information field theory - Andrea Vittino (RWTH Aachen University)

5:20 PM Searching Pulsars Using Neural Networks - Lars Künkel (University Bielefeld)

5:40 PM The Astrophysical Multimessenger Observatory Network (AMON) - Miguel Mostafa (Penn State University)
7:00 PM

7:00 PM - 10:00 PM
Wednesday, February 19, 2020
9:00 AM
9:00 AM - 9:40 AM
Contributions

9:00 AM Simulation of Extensive Air Showers with Deep Neural Networks - Marcel Köpke (Karlsruhe Institute of Technology)

9:20 AM Physics motivated GAN for generating fourmomenta - Niclas Eich (RWTH Aachen University)
9:40 AM
9:40 AM - 10:40 AM
Contributions

9:40 AM The Astro@NFDI Endevour - Harry Enke (Leibniz-Institut für Astrophysik Potsdam (AIP))

10:20 AM Open data and machine learning in German--Russian Data Life Cycle initiative - Victoria Tokareva (KIT)
10:40 AM

10:40 AM - 11:10 AM
11:10 AM
11:10 AM - 11:50 AM
Contributions

11:10 AM Particle & Astroparticle Physics @ NFDI - Andreas Haungs (KIT)
11:50 AM

11:50 AM - 1:00 PM

1:00 PM

1:00 PM - 2:00 PM