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| WEPHA124 |
CERN Accelerators Beam Optimization Algorithm |
1379 |
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- E. Piselli, A. Akroh, S. Rothe
CERN, Meyrin, Switzerland
- K. Blaum, M. Door
MPI-K, Heidelberg, Germany
- D. Leimbach
IKP, Mainz, Germany
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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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Poster WEPHA124 [1.069 MB]
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA124
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| About • |
paper received ※ 27 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020 |
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