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    Measurement and Control of Charged Particle Beams

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    Author(s)
    Minty, Michiko G.
    Zimmermann, Frank
    Collection
    Knowledge Unlatched (KU)
    Number
    104935
    Language
    English
    Show full item record
    Abstract
    This advanced textbook and reference is the first comprehensive and systematic review of all methods used for the measurement, correction, and control of the beam dynamics of modern particle accelerators. Based on material presented in several lectures at the US Particle Accelerator School, the text is intended for graduate students starting research or work in the field of beam physics. Relativistic beams in linear accelerators and storage rings provide the focus. After a review of linear optics, the text addresses basic and advanced techniques for beam control, plus a variety of methods for the manipulation of particle-beam properties. In each case, specific procedures are illustrated by examples from operational accelerators, e.g., CERN, DESY, SLAC, KEK, LBNL, and FNAL. The book also treats special topics such as injection and extraction methods, beam cooling, spin transport, and polarization. Problems and solutions enhance the book’s usefulness in graduate courses.
    URI
    http://library.oapen.org/handle/20.500.12657/23642
    Keywords
    Physics; Physics; CERN; DESY; Particle accelerator; Storage ring; control; measurement; Textbook
    DOI
    10.1007/978-3-662-08581-3_13
    ISBN
    9783540441878;9783662085813
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2003-05-21
    Grantor
    • Knowledge Unlatched - 104935 - KU Reverse
    Series
    Particle Acceleration and Detection,
    Classification
    Physics
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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