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Field Simulation for Accelerator Magnets

399,00 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 16A49767093
Autor: Russenschuck, Stephan
Themengebiete: Atomphysik Kernphysik - Kern (Atomkern) Physik / Atomphysik, Kernphysik
Veröffentlichungsdatum: 21.05.2025
EAN: 9783527414178
Sprache: Englisch
Seitenzahl: 1136
Produktart: Gebunden
Verlag: Wiley-VCH GmbH
Untertitel: Vol. 1: Theory of Fields and Magnetic Measurements / Vol. 2: Methods for Design and Optimization
Produktinformationen "Field Simulation for Accelerator Magnets"
A comprehensive reference to the theory and practice of accelerator-magnet design and measurement Particle accelerators have many fundamental and applied research applications in physics, materials science, chemistry, and life science. To accelerate electrons or hadrons to the required energy, magnets of highly uniform fields are needed, whose design and optimization are some of the most critical aspects of accelerator construction. Field Simulation for Accelerator Magnets is a comprehensive two-volume reference work on the electromagnetic design of iron- and coil-dominated accelerator magnets and methods of magnetic-field measurements. It provides project engineers and beam physicists with the necessary mathematical foundations for their work. Students of electrical engineering and physics will likewise find much value in these volumes, as the challenges to be met for field quality, electrical integrity, and robustness of accelerator magnets require an in-depth knowledge of electromagnetism. Accelerator-magnet design provides an excellent opportunity to learn mathematical methods and numerical techniques that have wide-ranging applications in industry and science. Readers of the two volumes of this work will find: Authorship by the leading expert on magnetic fields of accelerator magnets Detailed discussion of topics such as vector algebra and analysis, network theory, analytical and numerical field computation, magnetic measurements, elementary beam optics, and many more Application of mathematical optimization techniques, multiphysics simulation, and model-based systems engineering

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