The Application of Toolkit of Optimization in Designs of Accelerator Magnets
Identifieur interne : 000F12 ( Main/Exploration ); précédent : 000F11; suivant : 000F13The Application of Toolkit of Optimization in Designs of Accelerator Magnets
Auteurs : W. Wu [République populaire de Chine] ; Y. He [République populaire de Chine] ; L. Z. Ma [République populaire de Chine] ; J. W. Xia [République populaire de Chine] ; Q. G. Yao [République populaire de Chine] ; B. L. Guo [République populaire de Chine] ; X. Wu [République populaire de Chine] ; S. F. Han [République populaire de Chine] ; S. L. Zhang [République populaire de Chine]Source :
- IEEE transactions on applied superconductivity [ 1051-8223 ] ; 2010.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Logiciel.
English descriptors
- KwdEn :
Abstract
The traditional design of accelerator magnet usually involves many time consuming iterations of the manual analysis process. A software platform to do these iterations automatically is proposed in this paper. In this platform, we use DAKOTA (a open source software developed by Sandia National Laboratories) as the optimizing routine, which provides a variety of optimization methods and algorithms, and OPERA (software from Vector Fields) is selected as the electromagnetic simulating routine. In this paper, two examples of designs of accelerator magnets are used to illustrate how an optimization algorithm is chosen and the platform works.
Affiliations:
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<term>Logiciel</term>
<term>Méthode optimisation</term>
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<front><div type="abstract" xml:lang="en">The traditional design of accelerator magnet usually involves many time consuming iterations of the manual analysis process. A software platform to do these iterations automatically is proposed in this paper. In this platform, we use DAKOTA (a open source software developed by Sandia National Laboratories) as the optimizing routine, which provides a variety of optimization methods and algorithms, and OPERA (software from Vector Fields) is selected as the electromagnetic simulating routine. In this paper, two examples of designs of accelerator magnets are used to illustrate how an optimization algorithm is chosen and the platform works.</div>
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