Big Data Science in Astroparticle Research - HAP Workshop

Feb 19, 2018, 1:00 PM → Feb 21, 2018, 3:00 PM Europe/Berlin

RWTH Aachen University SuperC

Andreas Haungs (KIT), Martin Erdmann

Poster High-res (20 MB) https://indico.kit.edu/indico/event/344/picture/10.pdf

Poster Low-res Poster Low-res

Mon, February 19

1:00 PM → 2:00 PM Arrive

2:00 PM → 3:45 PM Deep Learning

2:00 PM Welcome and organizational matters

Speaker: Prof. Martin Erdmann (RWTH Aachen University)

Slides Introduction.pdf

2:15 PM Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures

Speaker: Mr Yannik Rath (RWTH Aachen University)

Slides Tutorial_HAP_Workshop_PartI.pdf

3:45 PM → 4:15 PM Coffee

4:15 PM → 6:15 PM Deep Learning

4:15 PM Tutorial on Adversarial Generative Networks, Wasserstein distance

Speaker: Mr Jonas Glombitza (RWTH Aachen University)

Slides GAN_tutorial_hap_workshop.pdf

Tue, February 20

9:00 AM → 10:40 AM Deep Learning

9:00 AM Welcome Message of the Vice-Rector for Research and Structure

Speaker: Prof. Rudolf Mathar (RWTH Aachen University)

9:15 AM DeepJet: jet classification with the CMS experiment

Speaker: Dr Markus Stoye (CERN)

Slides BigAstroAachen.pdf

10:00 AM Application of machine learning methods to H.E.S.S. data analysis

Speaker: Dr Idan Shilon (ECAP University Erlangen)

Slides Shilon_GNN.pdf

10:20 AM Event Reconstruction in IceCube using Deep Learning Techniques

Speaker: Mr Mirco Huennefeld (TU Dortmund)

Slides 2018_02_20_Aachen_HAP.pdf

10:40 AM → 11:10 AM Coffee

11:10 AM → 1:00 PM Deep Learning

11:10 AM Efficient Similarity Search and Analysis

Speaker: Dr Christian Beecks

Slides Beecks_Efficient_Similarity_Search_and_Analysis.pdf

11:55 AM Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Speaker: Mr Lukas Geiger (RWTH Aachen University)

Slides lgeiger-slides.pdf

12:15 PM HexagDLy - Hexagonal Convolutions with PyTorch

Speaker: Mr Tim Lukas Holch (Humboldt University Berlin)

Slides tlholch_hexagdly_hap_2018.pdf

12:35 PM Deep machine learning implementation in FPGA

Speakers: Dr Michele Caselle (KIT), Mr Weijia WANG

Slides ML_FPGA_Caselle.pdf

1:00 PM → 2:30 PM Lunch

2:30 PM → 4:00 PM Deep Learning

2:30 PM Making Deep Neural Networks Transparent

Speaker: Dr Wojciech Samek (Fraunhofer Heinrich Hertz Institute Berlin)

Slides Talk_Samek.pdf

3:15 PM Denoising radio traces with autoencoder on Tunka-Rex experiment

Speaker: Dr Dmitriy Kostunin (IKP KIT Karlsruhe)

Slides kostunin-hap-big-data-2018.pdf

3:35 PM Deep Neural Network searching for an air shower radio signal

Speaker: Radomir Smida (Karlsruhe Institute of Technology (KIT))

Slides Smida-DNN-20180220.pdf

4:00 PM → 4:30 PM Coffee

4:30 PM → 5:00 PM Deep Learning: 1-2 Transparencies

4:30 PM Investigating deep convolutional autoencoders to mitigate systematic differences between data and simulations

Speaker: Dr Stefan Geißelsöder (ECAP, FAU Erlangen)

Slides 201802_ECAP_Autoencoder_Aachen.pdf

4:45 PM Using Deep Learning to optimise a SUSY search at CMS

Speaker: Dr Adam Elwood (DESY Hamburg)

Slides Elwood_SUSY_Aachen.pdf

5:00 PM → 6:00 PM Open Data, Data Centers, Computing Technology

5:00 PM Introduction to Open Data

Speaker: Prof. Uli Katz (ECAP / Univ. Erlangen)

Slides aachen_bigdata_1802.pdf

5:20 PM FACT Open Data Release

Speaker: Mr Maximilian Nöthe (Herr)

Slides fact_open_data.pdf

7:00 PM → 10:00 PM Conference Dinner

Wed, February 21

9:00 AM → 10:50 AM Open Data, Data Centers, Computing Technology

9:00 AM Research Data Alliance

Speaker: Dr Peter Wittenburg (Max Planck Institute for Psycholinguistics Nijmegen, NL)

Slides peter-rwth-talk.pdf

9:45 AM Big scientific data and Data Science

Speaker: Prof. Tony Hey (Rutherford Appleton Laboratory, UK)

Slides Tony_Hey_-_Big_Scientific_Data_and_Data_Science__-_Aachen_(Feb_18).pdf

10:50 AM → 11:20 AM Coffee

11:20 AM → 12:00 PM Open Data, Data Centers, Computing Technology

11:20 AM Progress on analysis and data centre for astroparticle physics

Speaker: Dr Andreas Haungs (KIT)

Slides BigData-HAP-Aachen-Feb2018-Haungs.pdf

11:40 AM Concrete goals for (Astro-)particle progress related to Big Data Science

Speaker: Prof. Alexander Schmidt (RWTH Aachen University)

Slides talkAachenFeb2018.pdf

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

12:00 PM Discussion

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

Slides Discussion.pdf

1:00 PM → 2:00 PM Depart