Speaker
Description
A major challenge to achieve the requisite beam luminosity for a muon collider is to cool the muon beams generated from targets by up to five orders of magnitude in 6D emittance. Ionization cooling is a promising method that has been proposed in the past. However, given the unavoidable performance tradeoffs in any cooling system, creating a design that effectively meets requirements poses an important problem which may be tackled with multi-objective optimization. We apply genetic algorithms coupled with full-physics simulations to explore and improve performance tradeoffs in a previously proposed rectilinear ionization cooling channel design consisting of several stages. Our optimizations of 6D emittance versus beam transmission in each of the first two cooling stages have yielded 13% and 50% improvements respectively in 6D emittance with similar transmissions compared to previously reported performance metrics. Optimizations of transverse emittance versus longitudinal emittance were also performed, confirming fundamental performance tradeoffs in the ionization cooling method. These results already suggest the potential for more compact, efficient, and cost-effective ionization cooling channel designs for a future muon collider. Furthermore, we present ongoing work towards optimization of all stages of the cooling system simultaneously, which will provide insights into different possible configurations of the entire system that may not be apparent in the analyses of individual stages.
