A growing collection of research projects in beam physics, computation, and data-driven modeling.
Explore nonlinear dynamics properties without tracking. Novel methods using diffeomorphism maps to understand beam dynamics in storage rings.
Explore the challenges of crab crossing in colliders. Understanding synchrobetatron resonances and beam-beam effects.
Development of JuTrack code, focusing on automatic differentiation for self-field calculations and gradient-based optimization.
Apply machine learning to find transformations for rotation-based coordinate systems in nonlinear beam dynamics analysis.
Model predictive control enabled by data-driven models for improved accelerator operation and optimization.