Optimization of the collimation system for CSNS/RCS with the robust conjugate direction search algorithm

TL;DR

This paper applies the Robust Conjugate Direction Search algorithm combined with parallel computing to optimize the secondary collimator parameters in the CSNS/RCS, enhancing collimation system performance.

Contribution

It introduces a novel optimization approach using RCDS and parallel computing to efficiently determine optimal collimator parameters for CSNS/RCS.

Findings

Optimized secondary collimator parameters improve system performance.

Parallel computing accelerates the optimization process.

The method provides a practical solution for machine commissioning.

Abstract

The Robust Conjugate Direction Search (RCDS) method is used to optimize the collimation system for Rapid Cycling Synchrotron (RCS) of the Chinese Spallation Neutron Source (CSNS). The parameters of secondary collimators are optimized for a better performance of the collimation system. To improve the efficiency of the optimization, the Objective Ring Beam Injection and Tracking (ORBIT) parallel module combined with MATLAB parallel computing is used, which can run multiple ORBIT instances simultaneously. This study presents a way to figure out an optimal parameter combination of the secondary collimators for a machine model in preparation for CSNS/RCS commissioning.