JINST Instrumentation Theses Archive
2020 JINST TH 003
Supervisor: Reza Saffari, Javad Rahighi
Optimization of parameters in Iranian Light Source Facility (ILSF) with MOGA
The thesis discusses the optimization of the Low-Beta lattice in the Iranian Light Source Facility (ILSF). The importance of the lattice stems from the high brightness of the beam in this structure, however, due to the existence of non-linear effects, some of the parameters do not meet the expected value, and this causes poor performance of the beam in this structure. In this dissertation, we try to optimize the dynamic aperture (stable space of particle motion) and momentum acceptance (which affects the longevity of particle beam), as the two basic parameters in beam dynamics physics. Optimization is performed by a multi-objective genetic algorithm, which is known as one of the most widely used optimization algorithms in accelerators and other sciences. Optimization results indicate an improvement in these two parameters in the storage ring. In this dissertation, first, the physics of accelerators is discussed, then non-linear elements are introduced in the accelerator. In the fourth chapter, the multi-objective genetic algorithm is introduced, and in the fifth chapter, we will introduce the ILSF storage ring and the Low-Beta lattice. The results of optimization and the effect of magnetic errors on device performance are also studied in chapter 6. Finally, chapter seven is devoted to the results of measurements in a real machine. Measurements and experiments were performed in another accelerator in Germany due to the non-completion of ILSF, in order to ensure the accuracy of the results obtained from the simulation codes which is used in this work.
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