Online regularization of Poincaré map of storage rings with Shannon entropy

Yongjun Li, Kelly Anderson, Derong Xu, Yue Hao, Kiman Ha, Yoshiteru Hidaka, Minghao Song, Robert Rainer, Victor Smaluk, Timur Shaftan
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Abstract

Shannon Entropy is adopted to quantify the chaos of measured Poincar\'e maps in the National Synchrotron Light Source-II (NSLS-II) storage ring. The recurrent Poincar\'e maps, constructed from beam position monitor's turn-by-turn readings, are commonly used to observe the nonlinearity in ring-based accelerators. However, these observations typically only provide a qualitative observation. With some canonical transformations on Poincar\'e maps, not only can the commonly used nonlinear characterizations be extracted, but more importantly, the chaos can be quantitatively measured with entropy. Entropy, therefore as a chaos indicator, is used for online Poincar\'e map regularization and dynamic aperture optimization in the NSLS-II ring.
具有香农熵的存储环 Poincaré 地图的在线正则化
香农熵(Shannon Entropy)被用来量化美国国家同步辐射光源-II(NSLS-II)存储环中测量到的Poincar\'e 地图的混乱程度。目前的Poincar(e)图是根据光束位置监测器的逐圈读数绘制的,通常用于观测环形加速器的非线性。然而,这些观测通常只能提供定性观测。因此,熵作为一种混沌指标,被用于NSLS-II环的在线Poincar'e图规范化和动态孔径优化。
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