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Author: D. Schirmer


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Reference
D. Schirmer, “A Machine Learning Approach to Electron Orbit Control at the 1.5 GeV Synchrotron Light Source DELTA”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1137-1140.
D. Schirmer, A. Althaus, and T. Sch??ngel, “Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1141-1144.
D. Schirmer, A. Althaus, S. Hüser, S. Khan, and T. Schüngel, “Machine learning-based optimization of storage ring injection efficiency”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA106, pp. 2896-2899.
D. Schirmer, S. Khan, and A. Radha Krishnan, “Summary Report on Machine Learning-Based Applications at the Synchrotron Light Source Delta”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP020, pp. 537-541.


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