Progress on Convergence Map Based on Square Matrix for Nonlinear Lattice Optimization
| Autor: | Yu, Li Hua, Hao, Yue, Hidaka, Yoshiteru, Plassard, Fabien, Smaluk, Victor |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| DOI: | 10.18429/jacow-napac2022-wepa80 |
| Popis: | We report progress on applying the square matrix method to obtain in high speed a "convergence map", which is similar but different from a frequency map. We give an example of applying the method to optimize a nonlinear lattice for the NSLS-II upgrade. The convergence map is obtained by solving the nonlinear dynamical equation by iteration of the perturbation method and studying the convergence. The map provides information about the stability border of the dynamical aperture. We compare the map with the frequency map from tracking. The result in our example of nonlinear optimization of the NSLS-II lattice shows the new method may be applied in nonlinear lattice optimization, taking advantage of the high speed (about 30~300 times faster) to explore x, y, and the off-momentum phase space. Proceedings of the 5th North American Particle Accelerator Conference, NAPAC2022, Albuquerque, NM, USA |
| Databáze: | OpenAIRE |
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