Title |
Convergence Map with Action-Angle Variables Based on Square Matrix for Nonlinear Lattice Optimization |
Authors |
- L.H. Yu, Y. Hidaka, F. Plassard, V.V. Smaluk
BNL, Upton, New York, USA
- Y. Hao
FRIB, East Lansing, Michigan, USA
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Abstract |
We apply square matrix method to obtain in high speed a "convergence map", which is similar but different from frequency map. The convergence map is obtained from solving nonlinear dynamical equation by iteration of perturbation method and study the convergence. The map provides information about the stability border of dynamical aperture. We compare the map with frequency map from tracking. The result indicates the new method may be applied in nonlinear lattice optimization, taking the advantage of the high speed (about 10~50 times faster) to explore x, y and the off-momentum phase space.
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Paper |
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Conference |
IPAC2021 |
Series |
International Particle Accelerator Conference (12th) |
Location |
Campinas, SP, Brazil |
Date |
24-28 May 2021 |
Publisher |
JACoW Publishing, Geneva, Switzerland |
Editorial Board |
Liu Lin (LNLS, Campinas, Brazil); John M. Byrd (ANL, Lemont, IL, USA); Regis Neuenschwander (LNLS, Campinas, Brazil); Renan Picoreti (LNLS, Campinas, Brazil); Volker R. W. Schaa (GSI, Darmstadt, Germany) |
Online ISBN |
978-3-95450-214-1 |
Online ISSN |
2673-5490 |
Received |
09 May 2021 |
Accepted |
26 May 2021 |
Issue Date |
18 August 2021 |
DOI |
doi:10.18429/JACoW-IPAC2021-MOPAB041 |
Pages |
182-185 |
Copyright |
Published by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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