RF Gun Optimization Study [electronic resource].
- Washington, D.C. : United States. Dept. of Energy. Office of Science, 2007.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
- Additional Creators:
- Thomas Jefferson National Accelerator Facility (U.S.), United States. Department of Energy. Office of Science, and United States. Department of Energy. Office of Scientific and Technical Information
- Restrictions on Access:
- Free-to-read Unrestricted online access
- Injector gun design is an iterative process where the designer optimizes a few nonlinearly interdependent beam parameters to achieve the required beam quality for a particle accelerator. Few tools exist to automate the optimization process and thoroughly explore the parameter space. The challenging beam requirements of new accelerator applications such as light sources and electron cooling devices drive the development of RF and SRF photo injectors. RF and SRF gun design is further complicated because the bunches are space charge dominated and require additional emittance compensation. A genetic algorithm has been successfully used to optimize DC photo injector designs for Cornell* and Jefferson Lab**, and we propose studying how the genetic algorithm techniques can be applied to the design of RF and SRF gun injectors. In this paper, we report on the initial phase of the study where we model and optimize gun designs that have been benchmarked with beam measurements and simulation.
- Report Numbers:
- E 1.99:jlab-acc-07-676
E 1.99: doe/or/23177-0267
- Other Subject(s):
- Published through SciTech Connect.
2007 IEEE Particle Accelerator Conference, Albuquerque, NM, 25-30 June 2007.
A. S. Hofler; M. Krasilnikov; P. Evtushenko.
- Funding Information:
View MARC record | catkey: 14679590