Big Data Science in Astroparticle Research - Workshop
18 Feb 2019, 13:00
→
20 Feb 2019, 15:00
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
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
contact
hap-workshop@physik.rwth-aachen.de
0241 8027330
Monday, 18 February
Mon, 18 Feb
Tue, 19 Feb
Wed, 20 Feb
13:00
→
14:00
Arrive
14:00
→
15:45
Tutorial: Information Field Theory: Ford Room
14:00
Welcome and organizational matters
10m
Speaker
:
Martin Erdmann
(
RWTH Aachen University
)
Introduction.pdf
14:10
Introduction tutorial to Information Field Theory and Exercises
1h 35m
Speaker
:
Torsten Enßlin
(
MPI for Astrophysics
)
IFT_Ensslin.pdf
Information field theory
15:45
→
16:15
Coffee
16:15
→
18:15
Beginners Tutorial Deep Learning: Generali Room
16:15
Beginners Tutorial Deep Networks: Introduction
2h
Speaker
:
Jonas Glombitza
(
RWTH Aachen University
)
BasicDeepLearningTutorial2019.pdf
16:15
→
18:15
Tutorial: Information Field Theory: Ford Room
16:15
Introduction tutorial to Information Field Theory and Exercises
2h
Speaker
:
Torsten Enßlin
(
MPI for Astrophysics
)
Tuesday, 19 February
Mon, 18 Feb
Tue, 19 Feb
Wed, 20 Feb
09:00
→
10:35
Deep Learning
09:00
Welcome at the RWTH Aachen University
15m
Speaker
:
Prof.
Carsten Honerkamp
(
RWTH Aachen University
)
09:19
Deep Neural Networks for Energy and Position Reconstruction in EXO-200
15m
Speaker
:
Mr.
Tobias Ziegler
(
ECAP Erlangen
)
HAP_aachen19_ziegler.pdf
Publication
09:38
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Lar TPC (tbc)
15m
Speaker
:
Mr.
Davide Porzio
(
University of Manchester
)
HAP_aachen19_porzio.pdf
Publication
09:57
Deep learning techniques applied to the physics of extensive air showers
15m
Speaker
:
Mr.
Juan Miguel Carceller
(
University of Granada
)
HAP_aachen19_carceller.pdf
Publication
10:16
Inspection of the AIXNET network for air shower reconstruction
15m
Speaker
:
Mr.
Niclas Eich
(
RWTH Aachen University
)
hap_workshop_19_Eich_inspection_aixnet_upload.pdf
10:35
→
11:05
Coffee
11:05
→
13:00
Deep Learning
11:05
Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data
15m
Speaker
:
Mr.
Matthias Büchele
(
ECAP / University of Erlangen
)
Büchele_DL_IACT.pdf
Publication
11:24
Recovery of Radio Signals from Cosmic Ray Induced Air Showers with Deep Learning
15m
Speaker
:
Felix Schlüter
(
Karlsruhe Institute of Technology - IKP
)
HAP_aachen19_schlueter.pdf
Publication
11:43
Reconstruction of air-shower radio pulses from real Tunka-Rex background with autoencoder network
15m
Speaker
:
Mr.
Pavel Bezyazeekov
(
Irkutsk State University
)
bezyazeekov-bigdata-v2.pdf
12:02
Event classification in Compton-Pair telescopes using Deep Learning Techniques
15m
Speaker
:
Mr.
Jan Peter Lommler
(
Johannes Gutenberg-Universität Mainz
)
HAP-Workshop2019-EventCategorizationCompPair.pdf
12:21
Cascade Reconstruction in IceCube using Generative Networks
15m
Speaker
:
Mirco Huennefeld
(
TU Dortmund
)
2019_02_19_HAP_Aachen_Huennefeld.pdf
12:40
Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
15m
Speaker
:
Mr.
Thorben Quast
(
CERN
)
Publication
WassersteinGAN_HGCal_HAP_Feb2019.pdf
13:00
→
14:30
Lunch
14:30
→
15:50
Deep Learning
14:30
Deep Learning and Mathematical Modeling: Taking the Best out of Both Worlds
35m
Speaker
:
Prof.
Gitta Kutyniok
(
TU Berlin
)
Talk_Aachen_2019_kutyniok.pdf
15:10
Contracting alignment patterns of mixed composition nuclei
15m
Speaker
:
Marcus Wirtz
(
RWTH Aachen University
)
compass.gif
contracting_patterns.gif
hap-2019-wirtz-contracting-patterns.pdf
Publication
15:30
Exploring Optical Properties of Antarctic Ice with IceCube Using Gradient Descent
15m
Speaker
:
Mr.
Alexander Harnisch
(
TU Dortmund
)
HAP_aachen19_harnisch.pdf
15:50
→
16:20
Coffee
16:20
→
18:00
Deep Learning
16:20
Data Science in Astroparticle Physics
35m
Speaker
:
Tim Ruhe
(
TU Dortmund
)
Ruhe_HAP_Aachen_2019.pdf
17:00
Bayesian reconstruction of the cosmic Dark Matter velocity field
15m
Speaker
:
Dr.
Florian Fuehrer
(
Institut d'Astrophysique de Paris
)
HAP_aachen19_fuehrer.pdf
17:20
Autonomous Physics-Inspired Feature Engineering
15m
Speaker
:
Marcel Rieger
(
RWTH Aachen
)
2019-02-19_lbn.pdf
Publication
17:40
Exploring Antarctic Ice Properties Using Generative Neural Networks
15m
Speaker
:
Mr.
Sebastian Bange
(
TU Dortmund
)
HAP_Bange.pdf
19:00
→
22:00
Conference Dinner
Wednesday, 20 February
Mon, 18 Feb
Tue, 19 Feb
Wed, 20 Feb
09:00
→
10:40
Open Data, Data Centers, Computing Technology
09:00
The ESCAPE project and the EOSC
35m
Speaker
:
Kay Graf
(
ECAP - University of Erlangen
)
20190220_ESCAPE_Overview_KGraf.pdf
09:40
CTA Software and Science Data Management
35m
Speaker
:
Dr.
Igor Oya
(
CTAO gGmbH
)
Aachen 2019_Oya.pdf
10:20
Open high-level data and tools for gamma-ray astronomy
15m
Speaker
:
Dr.
Christoph Deil
(
MPIK Heidelberg
)
2019-02-20_HAP_Workshop_Open_Gamma.pdf
10:40
→
11:10
Coffee
11:10
→
12:05
Open Data, Data Centers, Computing Technology
11:10
Data engineering for joint analysis of different astroparticle data in KRAD project
15m
Speaker
:
Victoria Tokareva
(
KIT
)
presHAP.pdf
11:30
Challenges and Opportunities of Digital Transformation in Fundamental Research on Universe and Matter
30m
Speaker
:
Andreas Haungs
(
KIT
)
BigData-HAP-Aachen-Feb2019-Haungs.pdf
12:05
→
13:00
Discussion on perspectives and common efforts
summary-v3.pdf
13:00
→
14:00
Depart