JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Huang, X. ED - Biagini, Maria Enrica ED - Chrin, Jan ED - Giabbai, Manuela ED - Iungo, Massimiliano ED - Schaa, Volker R.W. TI - Methods and Experiences of Automated Tuning of Accelerators J2 - Proc. of eeFACT2022, Frascati, Italy, 12-16 September 2022 CY - Frascati, Italy T2 - ICFA Advanced Beam Dynamics Workshop on High Luminosity Circular e+e- Colliders T3 - 65 LA - english AB - Automated tuning, or beam-based optimization, is a general approach to improve accelerator performances. The approach is different from the other common approach of beam-based correction. The differences between these two approaches and the advantages of the optimization approach are discussed. Two online optimization methods, the robust conjugate direction search (RCDS) and the multi-generation Gaussian process optimizer (MG-GPO), are described. Experiences of apply the methods to storage ring nonlinear dynamics optimization at SPEAR3 and APS storage rings, as well as application to other machines, are presented. PB - JACoW Publishing CP - Geneva, Switzerland SP - 183 EP - 187 KW - storage-ring KW - target KW - emittance KW - linac KW - controls DA - 2022/02 PY - 2022 SN - 2673-7027 SN - 978-3-95450-236-3 DO - doi:10.18429/JACoW-eeFACT2022-WEZAS0106 UR - https://jacow.org/eefact2022/papers/wezas0106.pdf ER -