Modeling and Optimizing Multi-Kick Beam Orbits Using Bmad-TAO for Enhanced Accelerator Control and Beam Diagnostics
POSTER
Abstract
Accurate modeling of beam orbits is essential for optimizing trajectory control, diagnostics, and stability in the Linac Coherent Light Source (LCLS). Traditional orbit fitting methods used at SLAC National Accelerator Laboratory can only account for a single kick, limiting their ability to model multiple kicks from magnet misalignments, quadrupole tilts, and cross-plane coupling.
In this study, we use the Bmad-TAO framework to synthetically insert kicks into the LCLS lattice. Using TAO’s optimizations, we define kick variables in the kickFit array and optimize to minimize the merit function to match simulated orbits with experimental measurements.
Our results demonstrate that the inclusion of Bmad-TAO is able to significantly improve multi-kick modeling, with merit values below 5×10−5. The model also accurately identifies BPM offsets and quadrupole misalignments.
This work highlights the capability of Bmad-TAO to perform physics-based, multi-parameter beam fitting for next-generation accelerator diagnostics and real-time orbit correction systems.
In this study, we use the Bmad-TAO framework to synthetically insert kicks into the LCLS lattice. Using TAO’s optimizations, we define kick variables in the kickFit array and optimize to minimize the merit function to match simulated orbits with experimental measurements.
Our results demonstrate that the inclusion of Bmad-TAO is able to significantly improve multi-kick modeling, with merit values below 5×10−5. The model also accurately identifies BPM offsets and quadrupole misalignments.
This work highlights the capability of Bmad-TAO to perform physics-based, multi-parameter beam fitting for next-generation accelerator diagnostics and real-time orbit correction systems.
Presenters
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Abby J Zhou
- University of California, Berkeley