Beam-based Correction and Optimization for Accelerators

This book provides systematic coverage of the beam-based techniques that accelerator physicists use to improve the performance of large particle accelerators, including synchrotrons and linacs.

Beam-based Correction and Optimization for Accelerators

Huang, Xiaobiao

Taylor & Francis

2020

Abstract

This book provides systematic coverage of the beam-based techniques that accelerator physicists use to improve the performance of large particle accelerators, including synchrotrons and linacs.

Begins by discussing the basic principles of accelerators, before exploring the various error sources in accelerators and their impact on the machine's performances.

The book then demonstrates the latest developments of beam-based correction techniques that can be used to address such errors and covers the new and expanding area of beam-based optimization. Reference book for physicists working on accelerator design and operation, and for postgraduate studying accelerator physics.

Features: Entirely self-contained, exploring the theoretic background, including algorithm descriptions, and providing application guidance Accompanied by source codes of the main algorithms and sample codes online Uses real-life accelerator problems to illustrate principles, enabling readers to apply techniques to their own.

Citation

Huang, Xiaobiao. Beam-based Correction and Optimization for Accelerators. Taylor & Francis, 2020

Collection

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