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URLhttps://doi.org/10.18429/JACoW-IBIC2024-WEP25
TitleAccurate Beam Spot Fitting Algorithm Using Generalized and Skewed Gaussian Type Distributions
Authors
  • D. Wang, M. Ma, C. Wang, A. Wang, J. Lan, R. Wu, Z. Wei, P. Lu, B. Sun, L. Tang, A. Wang
    University of Science and Technology of China
  • X. Ma
    Budker Institute of Nuclear Physics
AbstractTo address non-standard Gaussian beam spot pro-files in injectors, this paper proposes a fitting algo-rithm based on Gaussian, the newly introduced Gener-alized Gaussian Type and Skewed Gaussian Type dis-tributions. These distributions are specifically de-signed to better fit non-Gaussian and asymmetric beam spots by automatically selecting the most suitable model. Validation using beam spot images from the YAG screen after the electron gun in the Hefei Light Source II (HLS-II) injector demonstrates that the Gen-eralized Gaussian Type is effective for fitting sharp or broad profiles, while the Skewed Gaussian Type is well-suited for handling asymmetry. Compared to tra-ditional methods, the proposed algorithm improves fitting accuracy and adaptability, providing a practical solution for complex beam measurement challenges.
Paperdownload: WEP25.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
ConferenceProc. 13th International Beam Instrumentation Conference
Series
LocationBeijing
Date09-13 Sep 2024
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardJianshe Cao (IHEP), Junhui Yue (IHEP), Lin Bian (IHEP), Ivan Andrian (Elettra-Sincrotrone Trieste S.C.p.A.), Volker RW Schaa (GSI), Zhichu Chen (SARI)
Online ISBN978-3-95450-249-3
Online ISSN2673-5350
Received05 September 2024
Revised09 September 2024
Accepted09 September 2024
Issued11 December 2024
DOI10.18429/JACoW-IBIC2024-WEP25
Pages317-320