Evolutionary Algorithm for the Neutrino Factory Front End Design
AbstractThe Neutrino Factory is an important tool in the long-term neutrino physics program.
Substantial effort is put internationally into designing this facility in order to achieve
desired performance within the allotted budget. This accelerator is a secondary beam
machine: neutrinos are produced by means of the decay of muons. Muons, in turn, are
produced by the decay of pions, produced by hitting the target by a beam of accelerated
protons suitable for acceleration. Due to the physics of this process, extra conditioning
of the pion beam coming from the target is needed in order to effectively perform
subsequent acceleration. The subsystem of the Neutrino Factory that performs this conditioning
is called Front End, its main performance characteristic is the number of the
Evolutionary Algorithms demonstrated themselves as a reliable and efficient tool
for exploration, optimization and ultimately decision-making during the design process.
In this work we describe the scenario for the Neutrino Factory Front End production
optimization via the GATool Evolutionary Algorithm implemented in COSY Infinity
and discuss the results of this optimization.
A. Poklonskiy, D. Neuffer,
Int. Journal of Modern Physics A 24,5 (2009) 959-973
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