HAP Workshop | Big Data Science in Astroparticle Physics

Feb 20, 2017, 1:00 PM → Feb 22, 2017, 2:00 PM Europe/Berlin

RWTH Aachen University SuperC

Andreas Haungs (KIT), Martin Erdmann

Poster HAP-Workshop-2017-02_big-data_Aachen_mail.pdf

Mon, February 20

1:00 PM → 2:00 PM arrive

2:00 PM → 3:45 PM Deep Learning tutorial

2:00 PM Welcome: Dean of Faculty of Mathematics, Computer Science and Natural Sciences

Speaker: Prof. Stefan Schael (RWTH Aachen University)

2:15 PM Deep Learning Tutorial: basic concepts, fully connected networks

Speaker: Mr David Walz (RWTH Aachen University, III Physikalisches Institut A)

Slides deep-learning-tutorial.pdf deep-learning-tutorial_pdf14.pdf

3:45 PM → 4:15 PM Coffee

4:15 PM → 6:30 PM Deep Learning tutorial: Deep Learning tutorial: advanced architectures, convolutional networks

Convener: Mr David Walz (RWTH Aachen University, III Physikalisches Institut A)

4:15 PM Deep Learning Tutorial: advanced architectures, convolutional networks

Speaker: Mr David Walz (RWTH Aachen University, III Physikalisches Institut A)

Tue, February 21

9:00 AM → 10:45 AM Deep Learning

9:00 AM Organisational Matter

Speaker: Prof. Martin Erdmann (RWTH Aachen University)

Slides 01_Erdmann.pdf

9:15 AM Deep Learning for neutrino telescopes

Speaker: Dr Stefan GEIßELSÖDER (ECAP, Friedrich-Alexander-Universität Erlangen)

Slides geisselsoeder_deep_learning_neutrino_telescopes.pdf

9:40 AM Deep Learning in Astroparticle Physics exemplified by the Reconstruction of Muon‐Neutrino Events in IceCube

Speaker: Mr Mirco HÜNNEFELD (TU Dortmund)

Slides 03_Huennefeld.pdf

10:05 AM Recognizing patterns in the arrival directions of ultra‐high energy cosmic rays using deep neural networks

Speaker: Mr Marcus Wirtz (RWTH Aachen University)

Slides wirtz-recognizing-patterns.pdf

10:30 AM Message of the Vice-Rector for Research and Structure of the RWTH Aachen University

data driven modeling und match of the topic to the strategy of RWTH

Speaker: Prof. Rudolf Mathar (RWTH Aachen University)

10:45 AM → 11:15 AM Coffee

11:15 AM → 12:45 PM Deep Learning

11:15 AM Convolutional Networks in Computer Vision

Speaker: Prof. Bastian Leibe (RWTH Aachen University)

Slides Bastian_Leibe_talk-astroparticle-cnns-feb17.pdf

12:05 PM Machine Learning in gamma‐ray astronomy: More than just Background‐Suppression

Speaker: Mr Maximilian NOETHE (TU Dortmund)

Slides 02_Noethe.pdf

12:25 PM Pattern recognition in KM3NeT: A multi-dimensional challenge

Speaker: Dr Joao COELHO (APC Paris)

Slides OrcaNet_20170221.pdf OrcaNet_20170221.pptx

1:00 PM → 2:15 PM Lunch

2:30 PM → 4:15 PM Deep Learning

2:30 PM Spatiotemporal Integration in Recurrent Deep Neural Networks

Speaker: Prof. Sven Behnke (University of Bonn, Computer Science Institute VI)

Slides RWTH_Aachen_Spatiotemporal_Integration_in_Recurrent_Deep_Neural_Networks_02_2017.pdf

3:15 PM Exploring deep network architectures to reconstruct cosmic ray induced air showers

Speaker: Mr Jonas Glombitza (RWTH Aachen University)

Slides ExploringDeepNetworksPierreAuger.pdf

3:35 PM Using neural nets to predict SUSY yields at the LHC

Speaker: Prof. Jamie TATTERSALL (RWTH Aachen Unversity)

Slides 03_Tattersall.pdf

3:55 PM Event reconstruction and classification in proton-proton collisions using deep neural networks

Speaker: Mr Yannik Rath (RWTH Aachen University)

Slides 04_Rath.pdf

4:15 PM → 4:45 PM Coffee

4:45 PM → 5:20 PM Deep Learning

4:45 PM Biological neuronal networks - from structure to activity

Speaker: Prof. Moritz Helias (Research Centre Jülich, Institute of Neuroscience and Medicine)

Slides 01_Helias.pdf

5:25 PM → 6:30 PM Open data

5:25 PM CREDO: a global cosmic-ray analysis and data processing challenges

Speaker: Mr Oleksandr SUSHCHOV (Institute of Nuclear Physics, Polish Academy of Sciences)

Slides 02_Sushchov.pdf

5:45 PM Workflow Management for user analyses in particle physics

Speaker: Mr Robert Fischer (RWTH Aachen University)

Slides 2017-02-21_hap-workshop.pdf

6:05 PM GPU usage of Auger data in the Offline Framework

Speaker: Dr Julian Rautenberg (Bergiscche Universität Wuppertal)

Slides Rautenberg_GPUAuger.pdf

7:00 PM → 10:00 PM Conference Dinner

Wed, February 22

9:00 AM → 10:40 AM Open software & analysis presentation

9:00 AM The path to the SKA: Big data challenges in radio astronomy

Speaker: Dr Ewan BARR (Max Planck Institut fuer Radioastronomie, Bonn)

Slides Barr_BigData.pdf

9:50 AM Data Publishing, Standards, and the Payoff: A Brief Account of the Astronomical Virtual Observatory

Speaker: Dr Markus DEMLEITNER (GAVO, Universität Heidelberg)

Slides 02_Demleitner_notes.pdf 02_Demleitner_slides.pdf

10:40 AM → 11:10 AM Coffee

11:10 AM → 12:00 PM Open software & analysis presentation

11:10 AM KCDC: data preservation and publication

Speaker: Dr Andreas Haungs (KIT)

Slides 01_Haungs.pdf

11:35 AM Accelerating the Digital Transformation in Science

Speaker: Dr Mikael Gast (Federal Ministry of Education and Research)

12:00 PM → 12:45 PM Discussion on perspectives of common efforts

12:00 PM Discussion

Speakers: Dr Andreas Haungs (KIT), Prof. Martin Erdmann (RWTH Aachen University)

Slides Discussion_20170222_evaluation.pdf

1:00 PM → 2:00 PM depart