12 citations · 29 across the 6 of their papers we have counts for
6 papers
Leveraging Prior Mean Models for Faster Bayesian Optimization of Particle Accelerators
Tobias Boltz, Jose L. Martinez, Connie Xu +7
Tuning particle accelerators is a challenging and time-consuming task that can be automated and carried out efficiently using suitable optimization algorithms, such as model-based…
Bayesian Optimization Algorithms for Accelerator Physics
Ryan Roussel, Auralee L. Edelen, Tobias Boltz +23
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simul…
On the Perturbation of Synchrotron Motion in the Micro-Bunching Instability
Tobias Boltz, Miriam Brosi, Bastian Haerer +4
The self-interaction of short electron bunches with their own radiation field can have a significant impact on the longitudinal beam dynamics in a storage ring. While higher bunch…
Bayesian Optimization of the Beam Injection Process into a Storage Ring
Chenran Xu, Tobias Boltz, Akira Mochihashi +3
We have evaluated the data-efficient Bayesian optimization method for the specific task of injection tuning in a circular accelerator. In this paper, we describe the implementation…
Detuning Properties of RF Phase Modulation in an Electron Storage Ring
Akira Mochihashi, Sebastian Maier, Edmund Blomley +6
In electron storage rings, it is possible to increase the bunch length by applying phase modulation to the radio frequency accelerating field by choosing appropriate parameters for…
Continuous bunch-by-bunch spectroscopic investigation of the micro-bunching instability
Johannes L. Steinmann, Tobias Boltz, Miriam Brosi +9
Electron accelerators and synchrotrons can be operated to provide short emission pulses due to longitudinally compressed or sub-structured electron bunches. Above a threshold curre…