Machine Learning Collaboration Meeting

21 Aug 2024, 08:30 → 22 Aug 2024, 17:00 US/Eastern

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

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

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

 

Wednesday, 21 August

1 Welcome & Introduction

Speaker: Kevin Brown (C-AD)

2 Overview of polarized proton acceleration and highlights of the current RHIC run

Speaker: Vincent Schoefer (CAD)

MLWorkshop_2024.pptx

3 Status of accurate accelerator models for L2B, Booster, BtL, and AGS

Speaker: Eiad Hamwi (Cornell University)

Hamwi Talk.pptx

10:30 Coffee Break

4 Experimental examples of Bayesian Optimization at BNL

Speaker: Lucy Lin (Cornell University)

CollabMeet_BO.pptx

5 Status of bunch-merge simulations and experiments using Reinforcement Learning

Speaker: Yuan Gao

Gao Talk.pptx

12:30 Lunch - On your own

13:30 Tour of the pre accelerator chain, polarized source to AGS

15:30 Coffee Break

6 Overview of Uncertainty Quantification and application to p-p acceleration

Speaker: Nathan Urban (Brookhaven National Laboratory)

Urban talk.pdf

7 Basis of Bayesian Optimization - connecting theory to experiment

Speaker: Yinan Wang

Yinan Talk.pptx

17:00 Open discussion on what ML procedure to use

18:00 Dinner (No-Host) Varney's Restaurant - 2109 Montauk Hwy, Brookhaven, NY 11719

Thursday, 22 August

8 Application options of the JLAB approach to reinforcement learning

Speaker: Armen Kasparian

Armen talk.pptx

9 Connecting Bmad and BNL control systems - Digital Twin preparations

Speaker: Kiel Hock (Brookhaven National Laboratory)

Integrating_Digital_Twins_into_the_C_AD_Controls_System.pdf

10 Applications of international ML experiences in the Linac to RHIC chain

Speaker: Auralee Edelen (SLAC/Stanford)

Edelen_Talk.pdf

10:45 Coffee Break

11 Bmad Julia - what new code do ML applications need

Speaker: David Sagan (faculty@cornell.edu;member@cornell.edu;alum@cornell.edu;employee@cornell.edu)

Bmad-Julia-ML.pptx

12 Improved emittance measurements

Speaker: Jon Edelen (RadiaSoft)

12:30 Lunch - On your own

13 Steps toward digital twins

Speaker: Lucy Lin (Cornell University)

CollabMeet_DigitalTwin.pptx

14 Summary, and brain storming

Speaker: Georg Hoffstaetter (Cornell)

Georg Talk.pptx

14:45 Coffee Break

15:00 Discussion on future schedules for weekly mtgs, machine studies, milestone mtgs, collaboration mtgs, DOE report preparations, publications, conference participations, etc.