phd thesis

Planned hardware implementation of the proposed RL feedback scheme.

Micro-Bunching Control at Electron Storage Rings with Reinforcement Learning

T. Boltz Karlsruhe Insitute of Technology KIT PhD thesis Abstract At the time this thesis is written, the world finds itself amidst and partly in the process of recovering from the COVID-19 pandemic caused by the SARS-Cov-2 virus. One major contribution to the worldwide efforts of bringing this pandemic to an end are the vaccines developed by different research teams all around the globe. Produced in a remarkably short time frame, a crucial first step for the discovery of these vaccines was mapping out the atomic structure of the proteins making up the virus and their interactions....

Best PPO agent. Action is deterministic.

Renovation of the beam-based feedback systems in the LHC

L. Grech University of Malta PhD thesis Abstract The Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN) is the largest synchrotron built to date, having a circumference of approx- imately 27km. The LHC is able to accelerate two counter-rotating proton and/or heavy-ion beams up to 7 TeV per charge. These highly energetic beams are contained inside a vacuum chamber with an inner diameter of 80 mm by means of strong mag- netic fields produced by superconducting magnets....

Simple scheme of the FERMI FEL seed laser alignment set up.

Feasibility Investigation on Several Reinforcement Learning Techniques to Improve the Performance of the FERMI Free-Electron Laser

N. Bruchon University of Trieste PhD thesis Abstract The research carried out in particle accelerator facilities does not concern only particle and condensed matter physics, although these are the main topics covered in the field. Indeed, since a particle accelerator is composed of many different sub-systems, its proper functioning depends both on each of these parts and their interconnection. It follows that the study, implementation, and improvement of the various sub-systems are fundamental points of investigation too....

Schematic for neural network control policy updates.

Neural Networks for Modeling and Control of Particle Accelerators

A. L. Edelen Colorado State University PhD thesis Abstract Charged particle accelerators support a wide variety of scientific, industrial, and medical applications. They range in scale and complexity from systems with just a few components for beam acceleration and manipulation, to large scientific user facilities that span many kilometers and have hundreds-to-thousands of individually-controllable components. Specific operational requirements must be met by adjusting the many controllable variables of the accelerator. Meeting these requirements can be challenging, both in terms of the ability to achieve specific beam quality metrics in a reliable fashion and in terms of the time needed to set up and maintain the optimal operating conditions....