|
C. Krantz et al., “Operational tests of CRYRING@ESR without electron cooler solenoid compensation”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPM079, pp. 2387-2390. |
|
C. Krantz et al., “Recommissioning of the CRYRING@ESR Electron Cooler”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 1816-1818. |
|
C. Krantz et al., “Recommissioning of the CRYRING@ESR Electron Cooler”, presented at the 13th Workshop on Beam Cooling and Related Topics (COOL'21), Novosibirsk, Russia, Nov. 2021, paper P1003, unpublished. |
|
F. Herfurth et al., “Commissioning of the Low Energy Storage Ring Facility CRYRING@ESR”, in Proc. 11th Workshop on Beam Cooling and Related Topics (COOL'17), Bonn, Germany, Sep. 2017, pp. 81-83. |
|
H. Brand et al., “The PHELIX Control System Based on UML Design Level Programming in LabVIEW”, in Proc. 9th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'03), Gyeongju, Korea, Oct. 2003, paper WP549, pp. XX-XX. |
|
O. Geithner et al., “Ion-optical Measurements at CRYRING@ESR during Commissioning”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 3161-3164. |
|
S. A. Litvinov et al., “First Experimental Demonstration of the Extraction of Low Energy Beams from the ESR to the CRYRING@ESR”, in Proc. 25th Russian Particle Accelerator Conf. (RuPAC'16), Saint Petersburg, Russia, Nov. 2016, pp. 352-354. |
|
S. Appel et al., “Automatized Optimization of Beam Lines Using Evolutionary Algorithms”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1906-1910. |
|
S. Appel et al., “Automatized Optimization of Beam Lines Using Evolutionary Algorithms”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 3941-3944. |
|
S. Appel, W. Geithner, S. Reimann, M. Sapinski, R. Singh, and D. M. Vilsmeier, “Optimization of Heavy-Ion Synchrotrons Using Nature-Inspired Algorithms and Machine Learning”, in Proc. 13th International Computational Accelerator Physics Conference (ICAP'18), Key West, Florida, USA, Oct. 2018, pp. 15-21. |
