Big Data Science in Astroparticle Research - Workshop
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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
Helmholtz Alliance for Astroparticle Physics HAP
Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz der Deutschen Physikalischen Gesellschaft e. V. AKPIK
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13:00
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14:00
Arrive
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14:00
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15:45
Tutorial: Information Field Theory: Ford Room
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14:00
Welcome and organizational matters 10mSpeaker: Martin Erdmann (RWTH Aachen University)
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14:10
Introduction tutorial to Information Field Theory and Exercises 1h 35mSpeaker: Torsten Enßlin (MPI for Astrophysics)
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14:00
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15:45
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16:15
Coffee
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16:15
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18:15
Beginners Tutorial Deep Learning: Generali Room
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16:15
Beginners Tutorial Deep Networks: Introduction 2hSpeaker: Jonas Glombitza (RWTH Aachen University)
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16:15
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16:15
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18:15
Tutorial: Information Field Theory: Ford Room
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16:15
Introduction tutorial to Information Field Theory and Exercises 2hSpeaker: Torsten Enßlin (MPI for Astrophysics)
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16:15
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13:00
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14:00
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09:00
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10:35
Deep Learning
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09:00
Welcome at the RWTH Aachen University 15mSpeaker: Prof. Carsten Honerkamp (RWTH Aachen University)
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09:19
Deep Neural Networks for Energy and Position Reconstruction in EXO-200 15mSpeaker: Mr. Tobias Ziegler (ECAP Erlangen)
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09:38
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc) 15mSpeaker: Mr. Davide Porzio (University of Manchester)
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09:57
Deep learning techniques applied to the physics of extensive air showers 15mSpeaker: Mr. Juan Miguel Carceller (University of Granada)
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10:16
Inspection of the AIXNET network for air shower reconstruction 15mSpeaker: Mr. Niclas Eich (RWTH Aachen University)
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09:00
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10:35
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11:05
Coffee
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11:05
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13:00
Deep Learning
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11:05
Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data 15mSpeaker: Mr. Matthias Büchele (ECAP / University of Erlangen )
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11:24
Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning 15mSpeaker: Felix Schlüter (Karlsruhe Institute of Technology - IKP)
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11:43
Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network 15mSpeaker: Mr. Pavel Bezyazeekov (Irkutsk State University)
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12:02
Event classification in Compton-Pair telescopes using Deep Learning Techniques 15mSpeaker: Mr. Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)
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12:21
Cascade Reconstruction in IceCube using Generative Networks 15mSpeaker: Mirco Huennefeld (TU Dortmund)
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12:40
Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network 15mSpeaker: Mr. Thorben Quast (CERN)
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11:05
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13:00
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14:30
Lunch
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14:30
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15:50
Deep Learning
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14:30
Deep Learning and Mathematical Modeling: Taking the Best out of Both Worlds 35mSpeaker: Prof. Gitta Kutyniok (TU Berlin)
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15:10
Contracting alignment patterns of mixed composition nuclei 15mSpeaker: Marcus Wirtz (RWTH Aachen University)
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15:30
Exploring Optical Properties of Antarctic Ice with IceCube Using Gradient Descent 15mSpeaker: Mr. Alexander Harnisch (TU Dortmund)
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14:30
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15:50
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16:20
Coffee
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16:20
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18:00
Deep Learning
- 16:20
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17:00
Bayesian reconstruction of the cosmic Dark Matter velocity field 15mSpeaker: Dr. Florian Fuehrer (Institut d'Astrophysique de Paris)
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17:20
Autonomous Physics-Inspired Feature Engineering 15mSpeaker: Marcel Rieger (RWTH Aachen)
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17:40
Exploring Antarctic Ice Properties Using Generative Neural Networks 15mSpeaker: Mr. Sebastian Bange (TU Dortmund)
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19:00
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22:00
Conference Dinner
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09:00
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10:35
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09:00
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10:40
Open Data, Data Centers, Computing Technology
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09:00
The ESCAPE project and the EOSC 35mSpeaker: Kay Graf (ECAP - University of Erlangen)
- 09:40
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10:20
Open high-level data and tools for gamma-ray astronomy 15mSpeaker: Dr. Christoph Deil (MPIK Heidelberg)
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09:00
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10:40
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11:10
Coffee
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11:10
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12:05
Open Data, Data Centers, Computing Technology
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11:10
Data engineering for joint analysis of different astroparticle data in KRAD project 15mSpeaker: Victoria Tokareva (KIT)
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11:30
Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter 30mSpeaker: Andreas Haungs (KIT)
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11:10
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12:05
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13:00
Discussion on perspectives and common efforts
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13:00
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14:00
Depart
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09:00
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10:40