The motion of beams in particle accelerators is dominated by a plethora of non-linear effects, which can enhance chaotic motion and limit their performance. The application of advanced non-linear dynamics methods for detecting and correcting these effects and thereby increasing the region of beam stability plays an essential role during the accelerator design phase but also their operation. After describing the nature of non-linear effects and their impact on performance parameters of different particle accelerator categories, the theory of non-linear particle motion is outlined. The recent developments on the methods employed for the analysis of chaotic beam motion are detailed. In particular, the ability of the frequency map analysis method to detect chaotic motion and guide the correction of non-linear effects is demonstrated in particle tracking simulations but also experimental data.
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June 2014
Research Article|
June 30 2014
Detecting chaos in particle accelerators through the frequency map analysis method
Yannis Papaphilippou
Yannis Papaphilippou
a)
European Organisation of Nuclear Research—CERN
, Geneva, Switzerland
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a)
Electronic mail: [email protected]
Chaos 24, 024412 (2014)
Article history
Received:
March 12 2014
Accepted:
June 06 2014
Citation
Yannis Papaphilippou; Detecting chaos in particle accelerators through the frequency map analysis method. Chaos 1 June 2014; 24 (2): 024412. https://doi.org/10.1063/1.4884495
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