Austin Hoover
(Oak Ridge National Laboratory)
12/08/2025, 14:00
MC6 - Beam Instrumentation, Controls, AI/ML, and Operational Aspects
Invited Oral Presentation
Inferring 4D or 6D phase space distributions from 1D or 2D measurements is a challenging inverse problem encountered in particle accelerators. Entropy maximization (ME) is an established method to incorporate prior information in under-constrained problems but is typically infeasible in high-dimensional spaces. In this talk, I discuss two approaches to high-dimensional ME. The first approach...