Machine Learning Collaboration Meeting

US/Eastern
Seminar Room, Science Education Center, Bldg. 438 (Brookhaven National Laboratory)

Seminar Room, Science Education Center, Bldg. 438

Brookhaven National Laboratory

Georg Hoffstaetter (Cornell), Kevin Brown (C-AD)
Description

Group photo for upload

Participants will meet to present and discuss strategies for the DOE funded project, Beam polarization increase in the BNL hadron injectors through physics-informed Bayesian Learning. 

Thank you to RadiaSoft for sponsoring the coffee breaks.

Zoom Link

Meeting ID: 161 674 1955
Passcode: 677694

 

Registration
Particpants
Participants
  • Armen Kasparian
  • Bhawin Dhital
  • David Sagan
  • Eiad Hamwi
  • Georg Hoffstaetter de Torquat
  • Jonathan Edelen
  • Kevin Brown
  • Kiel Hock
  • Levente Hajdu
  • Linh Nguyen
  • Lucy Lin
  • Nathan Urban
  • Vincent Schoefer
  • Weining Dai
  • Yinan Wang
  • Yuan Gao
Christina Blas, Coordinator
  • Wednesday, 21 August
    • 08:30 09:00
      Welcome & Introduction 30m
      Speaker: Kevin Brown (C-AD)
    • 09:00 09:45
      Overview of polarized proton acceleration and highlights of the current RHIC run 45m
      Speaker: Vincent Schoefer (CAD)
    • 09:45 10:30
      Status of accurate accelerator models for L2B, Booster, BtL, and AGS 45m
      Speaker: Eiad Hamwi (Cornell University)
    • 10:30 11:00
      Coffee Break 30m
    • 11:00 11:45
      Experimental examples of Bayesian Optimization at BNL 45m
      Speaker: Lucy Lin (Cornell University)
    • 11:45 12:30
      Status of bunch-merge simulations and experiments using Reinforcement Learning 45m
      Speaker: Yuan Gao
    • 12:30 13:30
      Lunch - On your own 1h
    • 13:30 15:30
      Tour of the pre accelerator chain, polarized source to AGS 2h
    • 15:30 16:00
      Coffee Break 30m
    • 16:00 16:30
      Overview of Uncertainty Quantification and application to p-p acceleration 30m
      Speaker: Nathan Urban (Brookhaven National Laboratory)
    • 16:30 17:00
      Basis of Bayesian Optimization - connecting theory to experiment 30m
      Speaker: Yinan Wang
    • 17:00 18:00
      Open discussion on what ML procedure to use 1h
    • 18:00 20:00
      Dinner (No-Host) Varney's Restaurant - 2109 Montauk Hwy, Brookhaven, NY 11719 2h
  • Thursday, 22 August
    • 08:30 09:15
      Application options of the JLAB approach to reinforcement learning 45m
      Speaker: Armen Kasparian
    • 09:15 10:00
      Connecting Bmad and BNL control systems - Digital Twin preparations 45m
      Speaker: Kiel Hock (Brookhaven National Laboratory)
    • 10:00 10:45
      Applications of international ML experiences in the Linac to RHIC chain 45m
      Speaker: Auralee Edelen (SLAC/Stanford)
    • 10:45 11:00
      Coffee Break 15m Seminar Room, Science Education Center, Bldg. 438

      Seminar Room, Science Education Center, Bldg. 438

      Brookhaven National Laboratory

    • 11:00 11:45
      Bmad Julia - what new code do ML applications need 45m
      Speaker: David Sagan (faculty@cornell.edu;member@cornell.edu;alum@cornell.edu;employee@cornell.edu)
    • 11:45 12:30
      Improved emittance measurements 45m
      Speaker: Jon Edelen (RadiaSoft)
    • 12:30 13:30
      Lunch - On your own 1h
    • 13:30 14:00
      Steps toward digital twins 30m
      Speaker: Lucy Lin (Cornell University)
    • 14:00 14:45
      Summary, and brain storming 45m
      Speaker: Georg Hoffstaetter (Cornell)
    • 14:45 15:00
      Coffee Break 15m Seminar Room, Science Education Center, Bldg. 438

      Seminar Room, Science Education Center, Bldg. 438

      Brookhaven National Laboratory

    • 15:00 16:30
      Discussion on future schedules for weekly mtgs, machine studies, milestone mtgs, collaboration mtgs, DOE report preparations, publications, conference participations, etc. 1h 30m