2nd Round Table on Machine and Deep Learning at DESY

Contribution List

0. Convolutional Neural Networks for electron microscopy tomography

Dr Philipp Heuser (DESY)

29/11/2019, 10:10

ML/DL @ DESY-campus 1

Finding instances of a protein transmembrane complex using segmentation and classification with CNNs is presented. The presented project is a collaboration between DESY-IT and CSSB

1. Generative Models for Fast Calorimeter Simulation

Engin Erin (DESY)

29/11/2019, 10:30

ML/DL @ DESY-campus 1

2. ML methods for FEL scattering data analysis

Dr Alireza Sadri (DESY)

29/11/2019, 10:50

ML/DL @ DESY-campus 1

3. Machine learning in the DESY ATLAS group

Christopher Pollard (DESY)

29/11/2019, 11:10

ML/DL @ DESY-campus 1

4. Automation of CMS workflow recovery

Dr Hamed Bakhshiansohi (DESY)

29/11/2019, 11:45

ML/DL @ DESY-campus 2

Attempts to use ML to predict the operator action on the CMS simulation and data processing failed jobs.

5. Neural networks for small angle scattering data analysis.

Dr Dmitry Molodenskiy (EMBL)

29/11/2019, 12:05

ML/DL @ DESY-campus 2

We propose a novel method of SAXS data analysis based on application of interconnected neural networks (perceptrons). For given experimental data from proteins, RNA or DNA our stack of networks evaluates Rg, Dmax, MW, p(r) and a noise-free scattering curve. This completely automatic approach has proved to be robust against experimental errors, applicable to data from particles of various...

6. Anomaly Detection for SRF Cavities

Ayla Nawaz (DESY/MSK)

29/11/2019, 12:25

ML/DL @ DESY-campus 2

The European XFEL uses superconducting radiofrequency cavities for the electron acceleration. In total 808 cavities are operated in pulsed mode with a 10 Hz repetition rate, which amounts to ~700 Million RF-pulses in 24 hours. This talk explores the possibility of monitoring anomalous behavior of individual cavities and determining levels of anomaly for each pulse.

7. Classification for Single Particle Imaging experiments

Dr Alexandr Ignatenko (DESY)

29/11/2019, 12:45

ML/DL @ DESY-campus 2

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