Intelligent Beam Control in Accelerators

Geng, Zheqiao, Simrock, Stefan

Intelligent Beam Control in Accelerators
  • 出版商: Springer
  • 出版日期: 2024-05-12
  • 售價: $5,040
  • 貴賓價: 9.5 折 $4,788
  • 語言: 英文
  • 頁數: 155
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031285999
  • ISBN-13: 9783031285998

    • 海外代購書籍(需單獨結帳)

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商品描述

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 demonstrate the effectiveness of these algorithms using either simulation or tests at the SwissFEL. With this book, the readers gain systematic knowledge of intelligent beam controls and learn the layered architecture guiding the design of practical beam control systems.

商品描述(中文翻譯)

本書系統地討論了在粒子加速器中實現穩定和最佳束流（或束流產物）參數的算法和原則。引入了一種四層束流控制策略，用於結構化與束流控制相關的子系統，例如束流設備控制、束流反饋和束流優化。本書專注於全局控制和優化層面。作為全局控制的基礎，束流反饋系統調節束流參數以抵抗干擾並使其穩定在設定點附近。全局優化算法，例如強健共軛方向搜索算法、遺傳算法和粒子群優化算法，位於頂層，確定最佳束流品質的反饋設定點。

此外，作者還介紹了機器學習在束流控制中的應用。討論了選定的機器學習算法，例如基於人工神經網絡和高斯過程的監督學習，以及強化學習。它們被應用於配置反饋環路、加速全局優化和直接合成最佳控制器。作者還通過模擬或在SwissFEL進行的測試展示了這些算法的有效性。通過本書，讀者將獲得關於智能束流控制的系統知識，並學習指導實際束流控制系統設計的分層架構。

作者簡介

Zheqiao Geng is a senior electronic engineer at the Paul Scherrer Institute in Switzerland. He graduated with a bachelor's degree from Tsinghua University in Beijing, China, in 2002. In 2007 he received his Ph.D. degree in nuclear engineering from the Graduate School of Chinese Academy of Sciences. For more than ten years, he worked on accelerator RF and beam control systems in different labs, including IHEP (China), DESY (Germany), SLAC (USA) and PSI (Switzerland). He was the key developer of critical aspects of the LLRF systems for various accelerator projects such as the European XFEL, LCLS and SwissFEL. At SLAC, he led the system-level design of the LCLS-II LLRF system. At PSI, he developed the control strategy for setting up and stabilizing the two-bunch operation of SwissFEL. As an internationally acclaimed RF and beam control expert, he was appointed as a PSI Senior Expert in 2021.

Stefan Simrock is a control system coordinator atthe ITER Organization located in southern France. He studied physics and microwave engineering at the Technical University of Darmstadt where he received his Ph.D. in engineering physics in 1988. From 1988 to 1996, he worked at the Thomas Jefferson National Accelerator Facility as a RF controls group leader and the deputy for the technical performance of the accelerator. He joined DESY in 1996 as the leader of a multidisciplinary team responsible for the design, construction, and commissioning of the control system for the superconducting linac at the TESLA Test Facility. In 2004, he was an appointed group leader of beam controls group responsible for the timing, synchronization, and beam feedback systems of all 10 accelerators at DESY. At the same time, he was the project leader for the RF Control System for FLASH and the European XFEL. Since 2010, he is responsible for the integration of ITER diagnostics with the central control system, machine protection system, safety system, andplasma control system.
Together with Dr. Zheqiao Geng, he published a book "Low-Level Radio Frequency Systems (978-3-030-94418-6)" in the series of Particle Acceleration and Detection in 2022.

作者簡介(中文翻譯)

曾喆橋博士是瑞士保羅舍勒研究所的高級電子工程師。他於2002年畢業於中國北京清華大學，獲得學士學位。2007年，他在中國科學院研究生院獲得核工程博士學位。在過去十多年中，他在不同的實驗室，包括中國的IHEP、德國的DESY、美國的SLAC和瑞士的PSI，從事加速器射頻和束流控制系統的工作。他是歐洲XFEL、LCLS和SwissFEL等多個加速器項目的LLRF系統關鍵開發人員。在SLAC，他領導了LCLS-II LLRF系統的系統級設計。在PSI，他開發了SwissFEL的雙束運行設置和穩定控制策略。作為國際知名的射頻和束流控制專家，他於2021年被任命為PSI高級專家。

Stefan Simrock博士是位於法國南部的ITER組織的控制系統協調員。他在德國達姆施塔特工業大學學習物理和微波工程，並於1988年獲得工程物理學博士學位。從1988年到1996年，他在托馬斯傑斐遜國家加速器設施擔任射頻控制組組長和加速器技術性能副負責人。他於1996年加入DESY，擔任多學科團隊的負責人，負責TESLA測試設施的超導直線加速器控制系統的設計、建設和調試。2004年，他被任命為DESY的束流控制組組長，負責DESY所有10個加速器的定時、同步和束流反饋系統。同時，他還是FLASH和歐洲XFEL的射頻控制系統項目負責人。自2010年以來，他負責將ITER診斷系統與中央控制系統、機器保護系統、安全系統和等離子體控制系統進行整合。

他與曾喆橋博士合著了一本名為《低水平射頻系統》（978-3-030-94418-6）的書，該書於2022年在粒子加速和檢測系列中出版。

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