Title |
Eigenmode Decomposition for Free-Electron Lasers Using Bayesian Analysis |
Authors |
- P. Liu, W. Li, Y.K. Wu, J. Yan
FEL/Duke University, Durham, North Carolina, USA
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Abstract |
Laser beams from an optical cavity, such as free-electron laser (FEL) resonators, are typically a mixture of the cavity’s eigenmodes, such as the Hermite-Gaussian (HG) modes or Laguerre-Gaussian (LG) modes. Robust evaluation of the eigenmode spectrum of a multimode laser beam has various applications in laser development, research, and utilization. In this work, a general eigenmode decomposition method for a multimode laser beam has been developed based on Bayesian analysis. This problem is transformed into a linear system and then solved using a Gaussian probabilistic model. Using Bayesian analysis, prior knowledge about the mode content is further incorporated into the solution to improve the results for laser beams contaminated with complex disturbances. The decomposition of the beam image from the incoherent intensity addition of HG modes is discussed with different types of noise or disturbances. The simulation results have been used to show the robustness of this method. This method can be straightforwardly extended into other cases such as the wavefront decomposition into the coherent superposition of HG and LG modes.
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Funding |
This work is supported in part by the US DOE grant no. DE-FG02-97ER41033. |
Paper |
download TUPAB117.PDF [0.799 MB / 4 pages] |
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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 |
18 May 2021 |
Accepted |
15 June 2021 |
Issue Date |
01 September 2021 |
DOI |
doi:10.18429/JACoW-IPAC2021-TUPAB117 |
Pages |
1666-1669 |
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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