Name: 2nd ICFA Workshop on Machine Learning for Charged Particle Accelerators
Start: 2019-02-26T08:00:00+01:00
End: 2019-03-01T18:00:00+01:00
Location: Villigen PSI

2nd ICFA Workshop on Machine Learning for Charged Particle Accelerators

from Tuesday 26 February 2019 (08:00) to Friday 1 March 2019 (18:00)

Monday 25 February 2019
Tuesday 26 February 2019

08:00

08:00 - 09:00
Room: OSGA/EG06
09:00
09:00 - 10:45
Room: OSGA/EG06
Contributions

09:00 Introduction to the Computing Environment - Jon Edelen (Radiasoft) Robert Nagler (Radiasoft)

09:15 Data Analysis and Regression - Jochem Snuverink (PSI)
10:45

10:45 - 11:00
Room: OSGA/EG06
11:00
11:00 - 12:30
Room: OSGA/EG06
Contributions

11:00 Deep Neural Networks - Auralee Edelen (SLAC)
12:30

12:30 - 13:30
Room: OASE Restaurant
13:30
13:30 - 15:30
Room: OSGA/EG06
Contributions

13:30 Unsupervised Learning & Clustering - Gianluca Valentino (University of Malta)

14:30 Toy Optics model - Auralee Edelen (SLAC National Accelerator Laboratory)
15:30

15:30 - 16:00
Room: OSGA Lobby
16:00
16:00 - 17:30
Room: OSGA/EG06
Contributions

16:00 Gaussian Processes - Johannes Kirschner (ETH Zurich) Mojmir Mutny (ETH Zürich)
18:00 Winery visit and wine tasting
Winery visit and wine tasting
18:00 - 19:30
Wednesday 27 February 2019

08:00

08:00 - 08:45
Room: OSGA/EG06

08:45

08:45 - 09:00
Room: OSGA/EG06
09:00 A decade of use of intelligent techniques in accelerators and overview of a new graduate program on the subject - Sandra Biedron (Element Aero and University of New Mexico)
A decade of use of intelligent techniques in accelerators and overview of a new graduate program on the subject
- Sandra Biedron (Element Aero and University of New Mexico)
09:00 - 09:30
Room: OSGA/EG06
09:30 ESS Control System Machine Learning Project - Karin Rathsman (European Spallation Source ERIC)
ESS Control System Machine Learning Project
- Karin Rathsman (European Spallation Source ERIC)
09:30 - 10:00
Room: OSGA/EG06
10:00

10:00 - 10:30
Room: OSGA Lobby
10:30 Update on recent optimisation / ML and modelling activities at the EuXFEL - Sergey Tomin (European XFEL) Raimund Kammering (Deutsches Elektronen-Synchrotron (DESY))
Update on recent optimisation / ML and modelling activities at the EuXFEL
- Sergey Tomin (European XFEL)
- Raimund Kammering (Deutsches Elektronen-Synchrotron (DESY))
10:30 - 11:00
Room: OSGA/EG06
11:00 Some ML approaches for low emittance storage rings - Ilya Agapov (DESY)
Some ML approaches for low emittance storage rings
- Ilya Agapov (DESY)
11:00 - 11:30
Room: OSGA/EG06
11:30 Machine Learning Platform for Accelerator Controls - Chungming Chu (Institute of High Energy Physics)
Machine Learning Platform for Accelerator Controls
- Chungming Chu (Institute of High Energy Physics)
11:30 - 12:00
Room: OSGA/EG06
12:00

12:00 - 13:30
Room: OASE PSI Restaurant
13:30 Fast and Safe Parameter Tuning of SwissFEL using Bayesian Optimization - Johannes Kirschner (ETH Zurich)
Fast and Safe Parameter Tuning of SwissFEL using Bayesian Optimization
- Johannes Kirschner (ETH Zurich)
13:30 - 14:00
Room: OSGA/EG06
14:00 Feedback Design for Control of the Micro-Bunching Instability based on Reinforcement Learning - Tobias Boltz (KIT)
Feedback Design for Control of the Micro-Bunching Instability based on Reinforcement Learning
- Tobias Boltz (KIT)
14:00 - 14:30
Room: OSGA/EG06
14:30 Automatic performance optimisation and first steps towards reinforcement learning at the CERN Low Energy Ion Ring - Simon Hirlaender (CERN)
Automatic performance optimisation and first steps towards reinforcement learning at the CERN Low Energy Ion Ring
- Simon Hirlaender (CERN)
14:30 - 15:00
Room: OSGA/EG06
15:00

15:00 - 15:30
Room: OSGA Lobby
15:30 Using Gaussian Processes to target the injection boundary in laser-plasma simulations - Remi Lehe (LBNL)
Using Gaussian Processes to target the injection boundary in laser-plasma simulations
- Remi Lehe (LBNL)
15:30 - 16:00
Room: OSGA/EG06
16:00 Machine Learning and Tuning of the CLIC Final Focus System - Jim Alexander Ogren (CERN)
Machine Learning and Tuning of the CLIC Final Focus System
- Jim Alexander Ogren (CERN)
16:00 - 16:30
Room: OSGA/EG06
16:30 AI and optimisation at BESSYII - Luis Vera Ramirez (HZB)
AI and optimisation at BESSYII
- Luis Vera Ramirez (HZB)
16:30 - 17:00
Room: OSGA/EG06
17:00 Bayesian Optimization for Online FEL Tuning at LCLS - Joseph Duris (SLAC)
Bayesian Optimization for Online FEL Tuning at LCLS
- Joseph Duris (SLAC)
17:00 - 17:30
Room: OSGA/EG06
17:30

17:30 - 19:30
Room: Auditorium WHGA/001

Apéro riche
Apéro riche
17:30 - 19:00
Room: Auditorium WHGA/001
Thursday 28 February 2019
09:00 Machine Learning - Optimizing beam lifetimes in the LHC - Loic Thomas Davies Coyle (CERN)
Machine Learning - Optimizing beam lifetimes in the LHC
- Loic Thomas Davies Coyle (CERN)
09:00 - 09:30
Room: OSGA/EG06
09:30 Machine Learning Based Surrogate Models for Beam Dynamics - Auralee Edelen (SLAC National Accelerator Laboratory)
Machine Learning Based Surrogate Models for Beam Dynamics
- Auralee Edelen (SLAC National Accelerator Laboratory)
09:30 - 10:00
Room: OSGA/EG06
10:00 Methods for data-cleaning - Jonathan Edelen (RadiaSoft)
Methods for data-cleaning
- Jonathan Edelen (RadiaSoft)
10:00 - 10:30
Room: OSGA/EG06
10:30

10:30 - 11:00
Room: OSGA Lobby
11:00 Towards Safe Reinforcement Learning - Andreas Krause (ETHZ)
Towards Safe Reinforcement Learning
- Andreas Krause (ETHZ)
11:00 - 12:00
Room: OSGA/EG06
12:00 Discussion
Discussion
12:00 - 12:30
Room: OSGA/EG06

12:30

12:30 - 14:00
Room: OASA Restaurant
14:00 Analysis of SPEAR3 injection history data with neural network - Xiaobiao Huang (SLAC)
Analysis of SPEAR3 injection history data with neural network
- Xiaobiao Huang (SLAC)
14:00 - 14:30
Room: OSGA/EG06
14:30 Application of machine learning in lattice design and correction - Yongjun Li (BNL)
Application of machine learning in lattice design and correction
- Yongjun Li (BNL)
14:30 - 15:00
Room: OSGA/EG06
15:00

15:00 - 15:30
Room: OSGA Lobby
15:30 SRF Fault Classification using Machine Learning - Chris Tennant (Jefferson Laboratory)
SRF Fault Classification using Machine Learning
- Chris Tennant (Jefferson Laboratory)
15:30 - 16:00
Room: OSGA/EG06
16:00 Classification of LHC beam mode transition from beam loss data - Gianluca Valentino (University of Malta)
Classification of LHC beam mode transition from beam loss data
- Gianluca Valentino (University of Malta)
16:00 - 16:30
Room: OSGA/EG06
16:30 Anomaly detection for beam transfer installations - Pieter Van Trappen (CERN)
Anomaly detection for beam transfer installations
- Pieter Van Trappen (CERN)
16:30 - 17:00
Room: OSGA/EG06
17:00 Machine Learning at the SNS accelerator - Willem Blokland (ORNL)
Machine Learning at the SNS accelerator
- Willem Blokland (ORNL)
17:00 - 17:30
Room: OSGA/EG06
17:30 Bayesian Methods for Anomaly Detection - Ayla Nawaz (DESY)
Bayesian Methods for Anomaly Detection
- Ayla Nawaz (DESY)
17:30 - 18:00
Room: OSGA/EG06
18:00

18:00 - 20:00
Room: OASE PSI Restaurant
Friday 1 March 2019

09:00 SwissFel and HIPA
SwissFel and HIPA
09:00 - 12:00

12:00

12:00 - 13:30
Room: OASE Restaurant

13:30

13:30 - 15:00
Room: OSGA/EG06

15:00 departure for optional ski weekend in the Swiss mountains
departure for optional ski weekend in the Swiss mountains
15:00 - 16:00
Room: OSGA/EG06

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