ML4FE Workshop, University of Hawaii

Session

Physics and accelerators

May 20, 2025, 8:00 AM

Conveners

Physics and accelerators

• Christian Herwig (University of Michigan)

Physics and accelerators

• Shih-Chieh Hsu (University of Washington)

20. Overview of fast ML for detectors and control

Dylan Rankin (University of Pennsylvania)

5/20/25, 8:00 AM

21. Application to (EF) colliders: CMS ASICs

Cristian Pena (Fermilab)

5/20/25, 8:30 AM

22. Application to (NF) DUNE

Seon-Hee Seo (Fermilab)

5/20/25, 8:50 AM

23. Discussion/Overflow

5/20/25, 9:10 AM

35. AI/ML for Beam Optimization at the UH Accelerator and FEL Facility

Siqi Li (University of Hawaii)

5/20/25, 1:15 PM

Contributed talk (12'+3')

The 40MeV linear accelerator and 3$\mu$m free-electron laser (FEL) facility at UH offers a versatile platform for advanced beam physics experiments and compact radiation source development. In this talk, I will discuss opportunities for applying AI and machine learning methods to optimize key beam parameters critical for the performance of the FEL and the inverse Compton scattering (ICS)....

24. Application to colliders: Smart Pixels

Lindsey Gray (Fermilab)

5/20/25, 1:35 PM

25. Application to colliders: MuC

Timon Heim (Lawrence Berkeley National Laboratory)

5/20/25, 1:55 PM

26. Application to accelerators

Auralee Edelen (SLAC National Accelerator Laboratory)

5/20/25, 2:15 PM

53. Application to dark matter (axions)

Christian Boutan (Pacific Northwest National Laboratory)

5/20/25, 2:35 PM

The axion is a compelling hypothetical particle that could account for some or all of the dark matter in our universe, while simultaneously explaining why quark interactions within the neutron do not appear to give rise to an electric dipole moment. The most sensitive axion detection technique in the 4-40 ueV mass range makes use of the axion-photon coupling and is called the axion cavity...

48. Discussion/Overflow