Multidimensional Global Optimization of Detector Systems Using the Example of Muon Shield in the SHiP Experiment

Abstract

SHiP (Search for Hidden Particles) is a new general-purpose experiment at the SPS ring at CERN, aimed at searching for hidden particles proposed by numerous theories beyond the Standard Model. An important element of the experiment is muon shield. On one hand, it must provide good background suppression, and on the other hand, it should not be too heavy. This work presents the results of obtaining muon shield configurations using Bayesian optimization with several types of surrogates. This allowed for effective global multidimensional optimization in a 42-dimensional space and reduced the muon flux by 2.5 times while maintaining the original mass of the shield.