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