Title :
Optimization of the beam line characteristics by means of a genetic algorithm
Author :
Bacci, A. ; Petrillo, V. ; Rossi, A.R. ; Serafini, L.
Author_Institution :
Univ. of Milano, Milan
Abstract :
The optimization of the optics in a LINAC requires a very demanding tuning of the involved parameters, particularly in the case of high brightness electron beams applied to the production of X-ray in a Thomson back-scattering source. The relationship between the parameters is nonlinear and it is not possible to treat them as independent variables, causing the impossibility of setting them handily. A genetic algorithm is a powerful tool able to circumvent this difficulty. We have applied the genetic algorithm to the case SPARC/PLASMONX to perform the optimization of the beam line parameters necessary to produce a high brilliance X-ray beam in a back scattering Thomson experiment [ 1 ] .
Keywords :
X-ray production; genetic algorithms; linear accelerators; particle beam bunching; particle beam dynamics; LINAC; SPARC-PLASMONX; Thomson back-scattering source; X-ray production; beam dynamics; beam line characteristics; electron beams; electron bunch; genetic algorithm; optics; optimization; Brightness; Electron beams; Electron optics; Genetic algorithms; Linear particle accelerator; Nonlinear optics; Optical scattering; Optical tuning; Production; Scattering parameters;
Conference_Titel :
Particle Accelerator Conference, 2007. PAC. IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
978-1-4244-0916-7
DOI :
10.1109/PAC.2007.4440403
