Author: Door, M.
Paper Title Page
WEPHA124 CERN Accelerators Beam Optimization Algorithm 1379
  • E. Piselli, A. Akroh, S. Rothe
    CERN, Meyrin, Switzerland
  • K. Blaum, M. Door
    MPI-K, Heidelberg, Germany
  • D. Leimbach
    IKP, Mainz, Germany
  In experimental physics, computer algorithms are used to make decisions to perform measurements and different types of operations. To create a useful algorithm, the optimization parameters should be based on real time data. However, parameter optimization is a time consuming task, due to the large search space. In order to cut down the runtime of optimization we propose an algorithm inspired by the numerical method Nelder-Mead. This paper presents details of our method and selected experimental results from high-energy (CERN accelerators) to low-energy (Penning-trap systems) experiments as to demonstrate its efficiency. We also show simulations performed on standard test functions for optimization.  
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About • paper received ※ 27 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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