MOGA optimization for the ILSF low-beta lattice storage ring

In this paper, The Multi-Objective Genetic Algorithm (MOGA) is employed to optimize a low-beta lattice for the storage ring of the Iranian Light Source Facility (ILSF) [1]. This technique is based on tracking particles to select the working tune points and the appropriate sextupoles strengths, which in turn improve Dynamic Aperture (DA) and Momentum Acceptance (MA) . In addition, we utilize Frequency Map (FMA) and tune scan to optimize MOGA results. Furthermore, the effect of multiple errors due to magnetic elements and Insertion Device (ID) is studied in the ILSF storage ring and the details of beam parameter variation because of the errors and an in-vacuum undulator are discussed. The results show that by applying the MOGA, DA and Toscheck lifetime improve.