Machine Learning Applications for Particle Accelerators

chaired by Christopher Mayes (SLAC National Accelerator Laboratory), Daniel Bowring (Fermilab), Daniel Ratner (SLAC), Auralee Edelen (Fermilab, CSU)
from to (US/Pacific)
at SLAC Building 53 ( Trinity )
2575 Sand Hill Rd, Menlo Park, CA 94025
Description

The goal of this workshop is to help build a world-wide community of researchers interested in applying machine learning techniques to particle accelerators. The workshop will be split into four sequential topics:

  1. Tuning, optimization, control
  2. Prognostics, alarm handling, anomaly-breakout detection
  3. Data analysis
  4. Simulations, modeling
Go to day
  • Tuesday, February 27, 2018
    • 09:00 - 12:00 ML Tutorial
      • 09:00 Coffee 30' ( SLAC - Bldg. 53, Trinity Lobby )
    • 12:00 - 13:30 Lunch ( SLAC - Bldg. 53, Trinity Lobby )
      Provided Lunch Buffet
    • 13:30 - 15:00 ML Tutorial: Afternoon
    • 15:00 - 17:00 Ocelot Tutorial
  • Wednesday, February 28, 2018
    • 09:00 - 09:20 Welcome 20'
    • 09:20 - 12:00 Facility needs
      • 09:20 Facility needs: Hadron Synchrotrons: Operational challenges at the LHC 20'
        Speaker: Kajetan Fuchsberger (CERN)
      • 09:40 Facility needs: XFELs 20'
        Speaker: Raimund Kammering (DESY)
      • 10:00 Facility needs: Synchrotrons 20'
        Speaker: Xiaobiao Huang
      • 10:20 Coffee 30' ( SLAC - Bldg. 53, Trinity Lobby )
      • 10:50 Fault detection and alarm systems for the CERN Technical Infrastructure 20'
        Speaker: Jesper Nielsen (CERN)
        Material: Slides powerpoint file
      • 11:10 Facility needs - or chances - seen from the other side 20'
      • 11:30 Discussion 30'
    • 12:00 - 13:00 Lunch
      Provided Lunch Buffet
    • 13:00 - 18:00 Tuning
      • 13:00 Experience with FEL taper tuning using reinforcement learning and clustering 20'
        Speaker: Dr. Juhao Wu
      • 13:20 Introduction to Bayesian Optimization 20'
        Speaker: Johannes Kirschner
      • 13:40 Experience at SLAC with Bayesian Optimization using Gaussian Processes 20'
        Speaker: Jopseph Duris
      • 14:00 Poster Blitz 20'
      • 14:20 Coffee 1h0'
      • 15:20 Experience with tuning at XFEL 20'
        Speaker: Sergey Tomin
      • 15:40 Experience with tuning at FERMI@Elettra 20'
        Speaker: Giulio Gaio (FERMI@Elettra)
      • 16:00 General experience with online optimization 20'
        Speaker: Alexander Scheinker
      • 16:20 Sloppy and Genetic Algorithms for Low-Emittance Tuning at CESR 20'
        Speaker: Ivan Bazarov
      • 16:40 Discussion: Tuning 40'
  • Thursday, March 1, 2018
    • 09:00 - 12:00 Simulations and Modeling
      Convener: Ilya Agapov (DESY)
      • 09:00 Experience with Model Predictive Control and Model-based Reinforcement Learning using Neural Networks 20'
        Speaker: Auralee Edelen
      • 09:20 Forecasting of Beam Interlocks in High Intensity (Hadron) Accelerators 20'
        Speaker: Andreas Adelmann
      • 09:40 Light Source Simulations 20'
        Speaker: Ilya Agapov (DESY)
      • 10:00 Poster Session and Coffee 1h0' ( SLAC - Bldg. 53, Trinity Lobby )
      • 11:00 Neural Network Modeling and Virtual Diagnostics at FAST 20'
        Speaker: Jonathan Edelen
      • 11:20 GANs for Simulation in HEP 20'
        Speaker: Luke de Oliveira
      • 11:40 Discussion 20'
    • 12:00 - 13:30 Lunch ( SLAC - Bldg. 53, Trinity Lobby )
      Provided Lunch Buffet
    • 13:30 - 16:00 Prognosics
      • 13:30 Machine learning for anomaly detection in large distributed accelerator systems 20'
        Speaker: Pieter van Trappen
      • 13:50 Beam loss plane recognition for the LHC 20'
        Speaker: Gianluca Valentino
      • 14:10 Detection of bad BPMs 20'
        Speaker: Elena Fol
      • 14:40 Discussion 20'
      • 15:00 Coffee 1h0'
    • 16:00 - 18:00 Tour
  • Friday, March 2, 2018
    • 09:00 - 11:00 Data Analysis
      • 09:00 Machine learning application on the investigation of the micro-bunching instability at storage rings 20'
        Speaker: Mr. Tobias Boltz (KIT)
      • 09:20 Non-parametric Density Estimators for the Measurements of Ionization Cooling 20'
        Speaker: Tanaz Angelina Mohayai (Illinois Institute of Technology)
      • 09:40 Discussion 20'
      • 10:00 Poster Session and Coffee 1h0' ( SLAC - Bldg. 53, Trinity Lobby )
    • 11:00 - 12:00 Summary 1h0'
    • 12:00 - 13:30 Lunch ( SLAC - Bldg. 53, Trinity Lobby )
      Provided Lunch Buffet
    • 13:30 - 15:00 Whitepaper and Collaboration planning 1h30'