Big Data Science in Astroparticle Research - Workshop

Feb 18, 2019, 1:00 PM → Feb 20, 2019, 3:00 PM Europe/Berlin

RWTH Aachen University SuperC

Andreas Haungs (KIT), Martin Erdmann

Helmholtz Alliance for Astroparticle Physics HAP

Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz der Deutschen Physikalischen Gesellschaft e. V. AKPIK

HAP-Workshop-2019-02_big-data_Aachen_high-res.pdf

HAP-Workshop-2019-02_big-data_Aachen_low-res.pdf

Previous Workshop 2017

Previous Workshop 2018

Monday, February 18

1:00 PM → 2:00 PM Arrive

2:00 PM → 3:45 PM Tutorial: Information Field Theory: Ford Room

2:00 PM Welcome and organizational matters

Speaker: Martin Erdmann (RWTH Aachen University)

Introduction.pdf

2:10 PM Introduction tutorial to Information Field Theory and Exercises

Speaker: Torsten Enßlin (MPI for Astrophysics)

IFT_Ensslin.pdf

Information field theory

3:45 PM → 4:15 PM Coffee

4:15 PM → 6:15 PM Beginners Tutorial Deep Learning: Generali Room

4:15 PM Beginners Tutorial Deep Networks: Introduction

Speaker: Jonas Glombitza (RWTH Aachen University)

BasicDeepLearningTutorial2019.pdf

4:15 PM → 6:15 PM Tutorial: Information Field Theory: Ford Room

4:15 PM Introduction tutorial to Information Field Theory and Exercises

Speaker: Torsten Enßlin (MPI for Astrophysics)

Tuesday, February 19

9:00 AM → 10:35 AM Deep Learning

9:00 AM Welcome at the RWTH Aachen University

Speaker: Prof. Carsten Honerkamp (RWTH Aachen University)

9:19 AM Deep Neural Networks for Energy and Position Reconstruction in EXO-200

Speaker: Mr Tobias Ziegler (ECAP Erlangen)

HAP_aachen19_ziegler.pdf

Publication

9:38 AM A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc)

Speaker: Mr Davide Porzio (University of Manchester)

HAP_aachen19_porzio.pdf

Publication

9:57 AM Deep learning techniques applied to the physics of extensive air showers

Speaker: Mr Juan Miguel Carceller (University of Granada)

HAP_aachen19_carceller.pdf

Publication

10:16 AM Inspection of the AIXNET network for air shower reconstruction

Speaker: Mr Niclas Eich (RWTH Aachen University)

hap_workshop_19_Eich_inspection_aixnet_upload.pdf

10:35 AM → 11:05 AM Coffee

11:05 AM → 1:00 PM Deep Learning

11:05 AM Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data

Speaker: Mr Matthias Büchele (ECAP / University of Erlangen )

Büchele_DL_IACT.pdf

Publication

11:24 AM Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning

Speaker: Felix Schlüter (Karlsruhe Institute of Technology - IKP)

HAP_aachen19_schlueter.pdf

Publication

11:43 AM Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network

Speaker: Mr Pavel Bezyazeekov (Irkutsk State University)

bezyazeekov-bigdata-v2.pdf

12:02 PM Event classification in Compton-Pair telescopes using Deep Learning Techniques

Speaker: Mr Jan Peter Lommler (Johannes Gutenberg-Universität Mainz)

HAP-Workshop2019-EventCategorizationCompPair.pdf

12:21 PM Cascade Reconstruction in IceCube using Generative Networks

Speaker: Mirco Huennefeld (TU Dortmund)

2019_02_19_HAP_Aachen_Huennefeld.pdf

12:40 PM Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network

Speaker: Mr Thorben Quast (CERN)

Publication

WassersteinGAN_HGCal_HAP_Feb2019.pdf

1:00 PM → 2:30 PM Lunch

2:30 PM → 3:50 PM Deep Learning

2:30 PM Deep Learning and Mathematical Modeling: Taking the Best out of Both Worlds

Speaker: Prof. Gitta Kutyniok (TU Berlin)

Talk_Aachen_2019_kutyniok.pdf

3:10 PM Contracting alignment patterns of mixed composition nuclei

Speaker: Marcus Wirtz (RWTH Aachen University)

compass.gif

contracting_patterns.gif

hap-2019-wirtz-contracting-patterns.pdf

Publication

3:30 PM Exploring Optical Properties of Antarctic Ice with IceCube Using Gradient Descent

Speaker: Mr Alexander Harnisch (TU Dortmund)

HAP_aachen19_harnisch.pdf

3:50 PM → 4:20 PM Coffee

4:20 PM → 6:00 PM Deep Learning

4:20 PM Data Science in Astroparticle Physics

Speaker: Tim Ruhe (TU Dortmund)

Ruhe_HAP_Aachen_2019.pdf

5:00 PM Bayesian reconstruction of the cosmic Dark Matter velocity field

Speaker: Dr Florian Fuehrer (Institut d'Astrophysique de Paris)

HAP_aachen19_fuehrer.pdf

5:20 PM Autonomous Physics-Inspired Feature Engineering

Speaker: Marcel Rieger (RWTH Aachen)

2019-02-19_lbn.pdf

Publication

5:40 PM Exploring Antarctic Ice Properties Using Generative Neural Networks

Speaker: Mr Sebastian Bange (TU Dortmund)

HAP_Bange.pdf

7:00 PM → 10:00 PM Conference Dinner

Wednesday, February 20

9:00 AM → 10:40 AM Open Data, Data Centers, Computing Technology

9:00 AM The ESCAPE project and the EOSC

Speaker: Kay Graf (ECAP - University of Erlangen)

20190220_ESCAPE_Overview_KGraf.pdf

9:40 AM CTA Software and Science Data Management

Speaker: Dr Igor Oya (CTAO gGmbH)

Aachen 2019_Oya.pdf

10:20 AM Open high-level data and tools for gamma-ray astronomy

Speaker: Dr Christoph Deil (MPIK Heidelberg)

2019-02-20_HAP_Workshop_Open_Gamma.pdf

10:40 AM → 11:10 AM Coffee

11:10 AM → 12:05 PM Open Data, Data Centers, Computing Technology

11:10 AM Data engineering for joint analysis of different astroparticle data in KRAD project

Speaker: Victoria Tokareva (KIT)

presHAP.pdf

11:30 AM Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter

Speaker: Andreas Haungs (KIT)

BigData-HAP-Aachen-Feb2019-Haungs.pdf

12:05 PM → 1:00 PM Discussion on perspectives and common efforts

summary-v3.pdf

1:00 PM → 2:00 PM Depart