CERN Accelerating science

Article
Report number	DESY-TESLA-2005-09
Title	Multivariate optimization of ILC parameters
Author(s)	Bazarov, Ivan V ; Padamsee, Hasan
Affiliation	(Cornell University, Ithaca, New York)
Publication	2005
Imprint	Feb 2005
Number of pages	4
In:	21st IEEE Particle Accelerator Conference, Knoxville, TN, USA, 16 - 20 May 2005, pp.1736
Subject category	Accelerators and Storage Rings
Accelerator/Facility, Experiment	ILC
Abstract	We present results of multiobjective optimization of the International Linear Collider (ILC) which seeks to maximize luminosity at each given total cost of the linac (capital and operating costs of cryomodules, refrigeration and RF). Evolutionary algorithms allow quick exploration of optimal sets of parameters in a complicated system such as ILC in the presence of realistic constraints as well as investigation of various what-if scenarios in potential performance. Among the parameters we varied there were accelerating gradient and Q of the cavities (in a coupled manner following a realistic Q vs. E curve), the number of particles per bunch, the bunch length, number of bunches in the train, etc. We find an optimum which decreases (relative to TDR baseline) the total linac cost by 22 %, capital cost by 25 % at the same luminosity of 3&#183;10<sup><font size="-1">38

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