Author: Read, M.E.
Paper Title Page
SAPAF04 Single Objective Genetic Optimization of an 85% Efficient Klystron 25
 
  • A. Jensen, J.J. Petillo
    Leidos Corp, Billerica, MA, USA
  • R.L. Ives, M.E. Read
    CCR, San Mateo, California, USA
  • J. Neilson
    SLAC, Menlo Park, California, USA
 
  Over­all ef­fi­ciency is a crit­i­cal pri­or­ity for the next gen­er­a­tion of par­ti­cle ac­cel­er­a­tors as they push to higher and higher en­er­gies. In a large ma­chine, even a small in­crease in ef­fi­ciency of any sub­sys­tem or com­po­nent can lead to a sig­nif­i­cant op­er­a­tional cost sav­ings. The Core Os­cil­la­tion Method (COM) and Bunch-Align-Com­press (BAC) method have re­cently emerged as a means to greatly in­crease the ef­fi­ciency of the kly­stron RF source for par­ti­cle ac­cel­er­a­tors. The COM and BAC meth­ods both work by uniquely tun­ing kly­stron cav­ity fre­quen­cies such that more par­ti­cles from the anti-bunch are swept into the bunch be­fore power is ex­tracted from the beam. The sin­gle ob­jec­tive ge­netic al­go­rithm from San­dia Na­tional Lab­o­ra­tory’s Dakota op­ti­miza­tion li­brary is used to op­ti­mize both COM and BAC based kly­stron de­signs to achieve 85% ef­fi­ciency. The COM and BAC meth­ods are dis­cussed. Use of the Dakota op­ti­miza­tion al­go­rithm li­brary from San­dia Na­tional Lab­o­ra­tory is dis­cussed. Scal­a­bil­ity of the op­ti­miza­tion ap­proach to High Per­for­mance Com­put­ing (HPC) is dis­cussed. The op­ti­miza­tion ap­proach and op­ti­miza­tion re­sults are pre­sented.  
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DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICAP2018-SAPAF04  
About • paper received ※ 16 October 2018       paper accepted ※ 19 November 2018       issue date ※ 26 January 2019  
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