Speaker
Description
The multi-purpose secondary beamlines of the SPS North Experimental Area are invaluable tools for a rich and diverse physics program, providing many different particle species and beam characteristics to fixed-target experiments and test-beam users. Many optical elements are required to enable such flexibility, posing a significant challenge in the design and optimization of the beamline optics.
Here, we present the optimization of the H4 and M2 beamlines using genetic algorithms. The aim of this study is to demonstrate the effectiveness of fast optics-based tracking models (here Xsuite), to enable large-scale, multi-objective optimisation using standard computing hardware. The model is benchmarked and validated with high-fidelity Monte Carlo simulations such as BDSIM and with feedback from experiments.
The optimized optics, applied to the H4 electron configuration for NA64, achieved a 30% increase in available electron rate and a five-fold reduction in beam-related background. In the M2 line, the optimised configurations yielded a two-fold increase in electron rate and a 60% improvement in muon transmission.
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