| 書目名稱 | Intelligent Beam Control in Accelerators | | 編輯 | Zheqiao Geng,Stefan Simrock | | 視頻video | http://file.papertrans.cn/470/469385/469385.mp4 | | 概述 | Describes the core systems and algorithms to achieve stable and optimal beam parameters in an accelerator.Introduces the modern methods such as the multi-objective optimization and machine learning.Pr | | 叢書名稱 | Particle Acceleration and Detection | | 圖書封面 |  | | 描述 | .This book systematically discusses the algorithms and principles for achieving stable and optimal beam (or products of the beam) parameters in particle accelerators. A four-layer beam control strategy is introduced to structure the subsystems related to beam controls, such as beam device control, beam feedback, and beam optimization. This book focuses on the global control and optimization layers. As a basis of global control, the beam feedback system regulates the beam parameters against disturbances and stabilizes them around the setpoints. The global optimization algorithms, such as the robust conjugate direction search algorithm, genetic algorithm, and particle swarm optimization algorithm, are at the top layer, determining the feedback setpoints for optimal beam qualities..In addition, the authors also introduce the applications of machine learning for beam controls. Selected machine learning algorithms, such as supervised learning based on artificial neural networks and Gaussian processes, and reinforcement learning, are discussed. They are applied to configure feedback loops, accelerate global optimizations, and directly synthesize optimal controllers. Authors also demonstr | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Beam feedback systems; modern modeless multi-objective optimization; Machine learning in HEP; Optimal b | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-28597-4 | | isbn_softcover | 978-3-031-28599-8 | | isbn_ebook | 978-3-031-28597-4Series ISSN 1611-1052 Series E-ISSN 2365-0877 | | issn_series | 1611-1052 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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