Name: Machine Learning Applications for Particle Accelerators
Start: 2018-02-27T07:30:00-08:00
End: 2018-03-02T18:00:00-08:00
Location: SLAC Building 53

Machine Learning Applications for Particle Accelerators

from Tuesday, 27 February 2018 (07:30) to Friday, 2 March 2018 (18:00)

Monday, 26 February 2018
Tuesday, 27 February 2018

07:30 Breakfast
Breakfast
07:30 - 09:00
Room: Trinity
09:00 Morning
Morning
09:00 - 12:00
Room: Trinity
Contributions

09:00 Logistic Regression, Neural Networks

11:00 Neural Networks
12:00 Lunch
Lunch
12:00 - 13:00
Room: SLAC - Bldg. 53, Trinity Lobby
13:00 Afternoon
Afternoon
13:00 - 15:00
Room: Trinity
Contributions

13:00 Unsupervised Learning (Clustering), Toy Optics model
15:00

15:00 - 17:00
Room: Trinity
Wednesday, 28 February 2018

07:30 Breakfast
Breakfast
07:30 - 09:00
Room: Trinity
09:00 Welcome - Tor Raubenheimer (SLAC)
Welcome
- Tor Raubenheimer (SLAC)
09:00 - 09:20
Room: Trinity
09:20
09:20 - 12:00
Room: Trinity
Contributions

09:20 Facility needs: Hadron Synchrotrons: Operational challenges at the LHC - Kajetan Fuchsberger (CERN)

09:40 Facility needs: XFELs - Raimund Kammering (DESY)

10:00 Facility needs: Synchrotrons - Xiaobiao Huang

10:50 Fault detection and alarm systems for the CERN Technical Infrastructure - Jesper Nielsen (CERN)

11:10 Facility needs - or chances - seen from the other side - Arno Candel

11:30 Discussion - Kevin Li
12:00 Lunch
Lunch
12:00 - 13:00
Room: Trinity
13:00
13:00 - 18:00
Room: Trinity
Contributions

13:00 Experience with FEL taper tuning using reinforcement learning and clustering - Juhao Wu

13:20 Introduction to Bayesian Optimization - Johannes Kirschner

13:40 Experience at SLAC with Bayesian Optimization using Gaussian Processes - Jopseph Duris

14:00 Poster Blitz

15:20 Experience with tuning at XFEL - Sergey Tomin

15:40 Experience with tuning at FERMI@Elettra - Giulio Gaio (FERMI@Elettra)

16:00 General experience with online optimization - Alexander Scheinker Scheinker Alex

16:20 Sloppy and Genetic Algorithms for Low-Emittance Tuning at CESR - Ivan Bazarov

16:40 Discussion: Tuning - Auralee Edelen (CSU)
18:00 Reception at Dutch Goose
Reception at Dutch Goose
18:00 - 21:00
Room: Dutch Goose: 3567 Alameda de las Pulgas, Menlo Park, CA 94025
Thursday, 1 March 2018

07:30 Breakfast
Breakfast
07:30 - 09:00
Room: Trinity
09:00
09:00 - 12:00
Room: Trinity
Contributions

09:00 Experience with Model Predictive Control and Model-based Reinforcement Learning using Neural Networks - Auralee Edelen

09:20 Forecasting of Beam Interlocks in High Intensity (Hadron) Accelerators - Andreas Adelmann

09:40 Light Source Simulations - Ilya Agapov (DESY)

11:00 Neural Network Modeling and Virtual Diagnostics at FAST - Jonathan Edelen

11:20 GANs for Simulation in HEP - Luke de Oliveira

11:40 Discussion - Ilya Agapov (DESY)
12:00 Lunch
Lunch
12:00 - 13:00
Room: Trinity
13:00
13:00 - 15:00
Room: Trinity
Contributions

13:00 Machine learning for anomaly detection in large distributed accelerator systems - Pieter van Trappen

13:20 Beam loss plane recognition for the LHC - Gianluca Valentino

13:40 Detection of bad BPMs - Elena Fol

14:00 Discussion
15:00 Tour
Tour
15:00 - 17:00
Room: Trinity

17:30 Meyer-Buck House Reception
Meyer-Buck House Reception
17:30 - 20:00
Room: Parking: 2121 Sand Hill Rd, Menlo Park, CA 94025
Friday, 2 March 2018

07:30 Breakfast
Breakfast
07:30 - 09:00
Room: Trinity
09:00
09:00 - 11:00
Room: Trinity
Contributions

09:00 Machine learning application on the investigation of the micro-bunching instability at storage rings - Tobias Boltz (KIT)

09:20 Non-parametric Density Estimators for the Measurements of Ionization Cooling - Tanaz Angelina Mohayai (Illinois Institute of Technology)

09:40 Data mining at HIPA - Jochem Snuverink (Paul Scherrer Institute)
11:00 Summary - Kevin Li (CERN) Daniel Bowring (Fermilab) Auralee Edelen (CSU) Ilya Agapov (DESY) Rasmus Ischebeck (PSI)
Summary
- Kevin Li (CERN)
- Daniel Bowring (Fermilab)
- Auralee Edelen (CSU)
- Ilya Agapov (DESY)
- Rasmus Ischebeck (PSI)
11:00 - 12:00
Room: Trinity
12:00 Lunch
Lunch
12:00 - 13:30
Room: SLAC - Bldg. 53, Trinity Lobby
13:30 Whitepaper and Collaboration planning - Christopher Mayes (SLAC National Accelerator Laboratory)
Whitepaper and Collaboration planning
- Christopher Mayes (SLAC National Accelerator Laboratory)
13:30 - 15:00
Room: Trinity