Author: Chao, Y.-C.
Paper Title Page
TUABI1 The TRIUMF Optimization Platform and Application to the E-linac Injector 67
 
  • C. Gong, Y.-C. Chao
    TRIUMF, Canada's National Laboratory for Particle and Nuclear Physics, Vancouver, Canada
 
  Funding: Funding is received from Natural Sciences and Engineering Research Council of Canada for this research.
Multi-objective genetic algorithms (MOGA) have demonstrated their usefulness for the global optimization of accelerator design using Elegant and Astra. A MOGA platform developed at TRIUMF seeks to expand the capabilities of such tools by allowing multiple simulation engines to be used. The TRIUMF optimization software platform was applied to the transport design of an injection line leading from a cryomodule to the beam dump. The optimization involves two simulation engines, Astra and MAD-X, and demonstrates the ability for the platform to handle multi-engine optimization for a realistic problem. Results of the optimization are shown.
 
slides icon Slides TUABI1 [1.132 MB]