Speaker
Description
Precise control of the temporal profile of laser pulses is essential for optimizing beam emittance in photoinjectors. Achieving this through spectral shaping is particularly challenging due to nonlinear effects, temporal drifts, and experimental nonidealities. To address this, a two-step feedback mechanism based on differentiable physics modeling is developed for adaptive experimental control. The approach combines a differentiable model that captures the system’s behavior within its operating regime with gradient-based optimization to efficiently achieve desired pulse shapes. This framework demonstrates how differentiable models can bridge physical understanding and data-driven optimization, offering a versatile strategy for controlling complex experimental systems.
