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Author: T. Hellert


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Reference
T. Hellert et al., “Simulation of Trajectory Correction in Early Commissioning of the Advanced Light Source Upgrade”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 4256-4258.
T. Hellert et al., “Error Analysis and Commissioning Simulation for the PETRA-IV Storage Ring”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 1442-1444.
T. Hellert et al., “Commissioning Simulation Study for the Accumulator Ring of the Advanced Light Source Upgrade”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 1445-1448.
T. Hellert and Ch. Schmidt, “Progress on Multibunch FEL Performance at FLASH”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 1452-1455.
S. M. Liuzzo et al., “Optimisation of the Touschek Lifetime in Synchrotron Light Sources Using Badger”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper MO3AO01, pp. 108-115.
S. Liuzzo et al., “Commissioning simulations tools based on python Accelerator Toolbox”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPA142, pp. 386-389.
S. H. Mirza, G. Rehm, H. Schlarb, R. Bartolini, S. Pfeiffer, and T. Hellert, “Beam-based girder alignment to reduce corrector strengths: conceptual simulations for PETRA IV”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPG36, this conference.
S. C. Leemann et al., “First Attempts at Applying Machine Learning to ALS Storage Ring Stabilization”, in Proc. North American Particle Accelerator Conf. (NAPAC'19), Lansing, MI, USA, Sep. 2019, pp. 98-101.
S. C. Leemann et al., “First Attempts at Applying Machine Learning to ALS Storage Ring Stabilization”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 1631-1634.
S. C. Leemann et al., “Applying Machine Learning to Stabilize the Source Size in the ALS Storage Ring”, in Proc. 11th Int. Particle Accelerator Conf. (IPAC'20), Caen, France, May 2020, paper MOVIR11, pp. XX-XX.


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