Research on beam dynamics optimization of a storage ring based on machine learning
- Resource Type
- Conference
- Authors
- Li, Ruichun; Zhang, Qinglei; Zhao, Zhentang; Li, Changliang; Wang, Kun
- Source
- 2023 International Conference on Intelligent Computing and Next Generation Networks(ICNGN) Intelligent Computing and Next Generation Networks(ICNGN), 2023 International Conference on. :1-5 Nov, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Machine learning
Storage rings
Orbits
Synchrotron radiation
Optimization
Light sources
Singular value decomposition
machine learning
calibration and fitting methods
synchrotron light sources
cluster finding
storage ring
convolutional neural network
- Language
This paper discusses the machine learning methods for the beam dynamics optimization in a storage ring for synchrotron light sources. A new method of closed orbit feedback based on machine learning was developed to enhance synchrotron radiation stability, which was then piloted at Shanghai Synchrotron Radiation Facility (SSRF). We use a novel machine learning technique to calibrate the linear optics, which differs from the traditional singular value decomposition (SVD)-based linear optics from closed orbit (LOCO). Predicting dynamic apertures is also one of the machine learning applications in our work.