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Author: Zheqiao Geng
Publisher: Springer Nature
ISBN: 3031285972
Category : Science
Languages : en
Pages : 164
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Book Description
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.
Author: Zheqiao Geng
Publisher: Springer Nature
ISBN: 3031285972
Category : Science
Languages : en
Pages : 164
Get Book Here
Book Description
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.
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 806
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Book Description
Semiannual, with semiannual and annual indexes. References to all scientific and technical literature coming from DOE, its laboratories, energy centers, and contractors. Includes all works deriving from DOE, other related government-sponsored information, and foreign nonnuclear information. Arranged under 39 categories, e.g., Biomedical sciences, basic studies; Biomedical sciences, applied studies; Health and safety; and Fusion energy. Entry gives bibliographical information and abstract. Corporate, author, subject, report number indexes.
Author: Stefan Simrock
Publisher: Springer Nature
ISBN: 3030944190
Category : Science
Languages : en
Pages : 396
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Book Description
This book begins with an overview of the RF control concepts and strategies. It then introduces RF system models for optimizing the system parameters to satisfy beam requirements and for controller design. In addition to systematically discussing the RF field control algorithms, it presents typical architecture and algorithms for RF signal detection and actuation. Further, the book addresses the analysis of the noise and nonlinearity in LLRF systems to provide a better understanding of the performance of the RF control system and to specify the performance requirements for different parts of the RF system. Today, accelerators require increased RF stability and more complex operation scenarios, such as providing beam for different beam lines with various parameters, and as a result LLRF systems are becoming more critical and complex. This means that LLRF system developers need have extensive knowledge of the entire accelerator complex and a wide range of other areas, including RF and digital signal processing, noise analysis, accelerator physics and systems engineering. Providing a comprehensive introduction to the basic theories, algorithms and technologies, this book enables LLRF system developers to systematically gain the knowledge required to specify, design and implement LLRF systems and integrate them with beam acceleration. It is intended for graduate students, professional engineers and researchers in accelerator physics.
Author: United States. Congress. House. Committee on Science. Subcommittee on Energy and Environment
Publisher:
ISBN:
Category : Political Science
Languages : en
Pages : 1348
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Book Description
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 516
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Book Description
Author: Alex Chao
Publisher: World Scientific
ISBN: 9814299359
Category : Medical
Languages : en
Pages : 321
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Book Description
Physical and biological basis of proton and of carbon ion radiation therapy and clinical outcome data / Herman Suit, Thomas F. Delaney and Alexei Trofimov -- The production of radionuclides for radiotracers in nuclear medicine / Thomas J. Ruth -- Proton radiation therapy in the hospital environment : conception, development, and operation of the initial hospital-based facility / James M. Slater, Jerry D. Slater and Andrew J. Wroe -- Microwave electron linacs for oncology / David H. Whittum -- Heavy-particle radiotherapy : system design and application / H. Tsujii, S. Minohara and K. Noda -- High frequency linacs for hadrontherapy / Ugo Amaldi, Saverio Braccini and Paolo Puggioni -- Medical cyclotrons / D.L. Friesel and T.A. Antaya -- Synchrotrons for hadrontherapy / Marco G. Pullia -- Beam delivery systems for particle radiation therapy : current status and recent developments / J.M. Schippers -- Laser acceleration of ions for radiation therapy / Toshiki Tajima, Dietrich Habs and Xueqing Yan -- FFAGs as accelerators and beam delivery devices for ion cancer therapy / Dejan Trbojevic -- The dielectric wall accelerator / George J. Caporaso, Yu-Jiuan Chen and Stephen E. Sampayan -- The supercollider : the Texas days - a personal recollection of its short life and demise / Stanley Wojcicki -- A man for all seasons : Robert R. Wilson / Edwin L. Goldwasser
Author: Alexander Wu Chao
Publisher: World Scientific
ISBN: 9814465399
Category : Science
Languages : en
Pages : 321
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Book Description
The theme of this volume, “Medical Applications of Accelerators”, is of enormous importance to human health and has a deep impact on our society.The invention of particle accelerators in the early 20th century created a whole new world for producing energetic X-rays, electrons, protons, neutrons and other particle beams. Immediately these beams found revolutionary applications in medicine. There are two important yet distinct medical applications. One is that accelerators produce radioisotopes for various nuclear medicines for millions of patients each year. The other is that accelerators produce particle beams for radiation therapy for the treatment of cancer. The particle beams can be X-rays (generated by high-energy electrons), protons, neutrons or heavy ions such as carbon. Today there are more than 5,000 accelerators routinely used in hospitals all over the world for nuclear medicine and cancer therapy. The great potential of accelerator applications in medicine can hardly be exaggerated.This volume contains 14 articles, all written by distinguished scholars.
Author:
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 794
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Book Description
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 900
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Book Description
Semiannual, with semiannual and annual indexes. References to all scientific and technical literature coming from DOE, its laboratories, energy centers, and contractors. Includes all works deriving from DOE, other related government-sponsored information, and foreign nonnuclear information. Arranged under 39 categories, e.g., Biomedical sciences, basic studies; Biomedical sciences, applied studies; Health and safety; and Fusion energy. Entry gives bibliographical information and abstract. Corporate, author, subject, report number indexes.
Author: Harish Sharma
Publisher: Springer Nature
ISBN: 9813369841
Category : Technology & Engineering
Languages : en
Pages : 801
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Book Description
This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
