Machine Learning Applications for Particle Accelerators

Contribution List

32. Logistic Regression, Neural Networks

27/02/2018, 09:00

ML Tutorial

34. Neural Networks

27/02/2018, 11:00

ML Tutorial

33. Unsupervised Learning (Clustering), Toy Optics model

27/02/2018, 13:00

ML Tutorial

0. Welcome

Prof. Tor Raubenheimer (SLAC)

28/02/2018, 09:00

1. Facility needs: Hadron Synchrotrons: Operational challenges at the LHC

Kajetan Fuchsberger (CERN)

28/02/2018, 09:20

Facility needs

2. Facility needs: XFELs

Raimund Kammering (DESY)

28/02/2018, 09:40

Facility needs

3. Facility needs: Synchrotrons

Xiaobiao Huang

28/02/2018, 10:00

Facility needs

4. Fault detection and alarm systems for the CERN Technical Infrastructure

Jesper Nielsen (CERN)

28/02/2018, 10:50

Facility needs

5. Facility needs - or chances - seen from the other side

Arno Candel

28/02/2018, 11:10

Facility needs

6. Discussion

Kevin Li

28/02/2018, 11:30

Facility needs

7. Experience with FEL taper tuning using reinforcement learning and clustering

Dr Juhao Wu

28/02/2018, 13:00

Tuning

8. Introduction to Bayesian Optimization

Johannes Kirschner

28/02/2018, 13:20

Tuning

9. Experience at SLAC with Bayesian Optimization using Gaussian Processes

Jopseph Duris

28/02/2018, 13:40

Tuning

11. Poster Blitz

28/02/2018, 14:00

Tuning

15. Experience with tuning at XFEL

Sergey Tomin

28/02/2018, 15:20

Tuning

31. Experience with tuning at FERMI@Elettra

Giulio Gaio (FERMI@Elettra)

28/02/2018, 15:40

Tuning

12. General experience with online optimization

Alexander Scheinker, Scheinker Alex

28/02/2018, 16:00

Tuning

13. Sloppy and Genetic Algorithms for Low-Emittance Tuning at CESR

Ivan Bazarov

28/02/2018, 16:20

Tuning

14. Discussion: Tuning

Auralee Edelen (CSU)

28/02/2018, 16:40

Tuning

16. Experience with Model Predictive Control and Model-based Reinforcement Learning using Neural Networks

Auralee Edelen

01/03/2018, 09:00

Simulations and Modeling

17. Forecasting of Beam Interlocks in High Intensity (Hadron) Accelerators

Andreas Adelmann

01/03/2018, 09:20

Simulations and Modeling

18. Light Source Simulations

Ilya Agapov (DESY)

01/03/2018, 09:40

Simulations and Modeling

19. Neural Network Modeling and Virtual Diagnostics at FAST

Jonathan Edelen

01/03/2018, 11:00

Simulations and Modeling

20. GANs for Simulation in HEP

Luke de Oliveira

01/03/2018, 11:20

Simulations and Modeling

21. Discussion

Ilya Agapov (DESY)

01/03/2018, 11:40

Simulations and Modeling

22. Machine learning for anomaly detection in large distributed accelerator systems

Pieter van Trappen

01/03/2018, 13:00

Prognosics

23. Beam loss plane recognition for the LHC

Gianluca Valentino

01/03/2018, 13:20

Prognosics

24. Detection of bad BPMs

Elena Fol

01/03/2018, 13:40

Prognosics

25. Discussion

01/03/2018, 14:00

Prognosics

26. Machine learning application on the investigation of the micro-bunching instability at storage rings

Mr Tobias Boltz (KIT)

02/03/2018, 09:00

Data Analysis

27. Non-parametric Density Estimators for the Measurements of Ionization Cooling

Tanaz Angelina Mohayai (Illinois Institute of Technology)

02/03/2018, 09:20

Data Analysis

28. Data mining at HIPA

Mr Jochem Snuverink (Paul Scherrer Institute)

02/03/2018, 09:40

Data Analysis

29. Summary

Auralee Edelen (CSU), Daniel Bowring (Fermilab), Ilya Agapov (DESY), Kevin Li (CERN), Dr Rasmus Ischebeck (PSI)

02/03/2018, 11:00

30. Whitepaper and Collaboration planning

Dr Christopher Mayes (SLAC National Accelerator Laboratory)

02/03/2018, 13:30

10. ML Tuning discussion