The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF AU - Appel, S. AU - Chetvertkova, V. AU - Geithner, W. AU - Herfurth, F. AU - Krause, U. AU - Reimann, S. AU - Sapinski, M. AU - Schütt, P. AU - Ãsterle, D. ED - Schaa, Volker RW ED - Costa, Isidre ED - Fernández, David ED - Matilla, Ãscar TI - Automatized Optimization of Beam Lines Using Evolutionary Algorithms J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017 C1 - Barcelona, Spain T2 - International Conference on Accelerator and Large Experimental Control Systems T3 - 16 LA - english AB - Due to the massive parallel operation modes at the GSI accelerators, a lot of accelerator setup and re-adjustment has to be made during a beam time. This is typically done manually and is very time-consuming. With the FAIR project the complexity of the facility increases furthermore and for efficiency reasons it is recommended to establish a high level of automation. Modern Accelerator Control Systems allow a fast access to both, accelerator settings and beam diagnostics data. This provides the opportunity together with the fast-switching magnets in GSI-beamlines to implement evolutionary algorithms for automated adjustment. A lightweight python interface to CERN Front-End Software Architecture (FESA) gave the opportunity to try this novel idea, fast and easy at the CRYRING@ESR injector. Furthermore, the python interface facilitates the work flow significantly as the evolutionary algorithms python package DEAP could be used. DEAP has been applied already in external optimization studies with particle tracking codes*. The first results and gained experience of an automatized optimization at the CRYRING@ESR injector are presented here. PB - JACoW CP - Geneva, Switzerland SP - 1906 EP - 1910 KW - ion KW - operation KW - interface KW - experiment KW - simulation DA - 2018/01 PY - 2018 SN - 978-3-95450-193-9 DO - 10.18429/JACoW-ICALEPCS2017-THPHA196 UR - http://jacow.org/icalepcs2017/papers/thpha196.pdf ER -