Author: Durkin, A.P.
Paper Title Page
TUPSA015 Acceleration of Deuterons and Protons in Single RFQ Strucrure 247
 
  • A.D. Ovsyannikov, D.A. Ovsyannikov, Y.A. Svistunov
    Saint Petersburg State University, Saint Petersburg, Russia
  • A.P. Durkin
    MRTI RAS, Moscow, Russia
 
  Some aspects of acceleration of protons and deuterons in single RFQ are considered. Usually vane voltage for protons must be two times less than vane voltage for deuterons. If space charge is significant vane voltage for protons can be too small to reach high efficiency of bunching and focusing of protons beam. It is shown that a rising of voltage up to nominal value for deuterons leads to increasing of capture and transmission for protons. Another problem is concerned with a choice of radial matching section parameters, which are optimal for both beams (proton and deuterons) simultaneously. Methods of optimization are discussed. Analysis of particles dynamics is illustrated by calculation's results.  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
WEPSB001
Particle Swarm Method for Optimization of Special RFQ Channel  
 
  • V.V. Altsybeyev, D.A. Ovsyannikov
    Saint Petersburg State University, Saint Petersburg, Russia
  • A.P. Durkin
    MRTI RAS, Moscow, Russia
  • Y.A. Svistunov
    NIIEFA, St. Petersburg, Russia
 
  Particle swarm method is used for optimization of special RFQ channel. There is a considered possibility of separate preacceleration of the multicharged ions with the different A/Z ratios in single radio-frequency quadrupole (RFQ) channel. Magnitude of the injection energy into RFQ is about a few keV/u, magnitude of the injection energy into booster or following linac cascade are 300 keV/u. Aim of optimization to change regular part of RFQ or matching section profile to improve outut parameters of the beams particles, such as current, emittance, phase width, etc. Phase ellipses of the beams partiles on input RFQ may be arbitrary oriented in phase space. In this case particle swarm method is effictive enough for optimizations.  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)