Paper  Title  Page 

WEA1C2 
Design of a ProofofPrinciple Experiment for the DLMN Method to Identify Magnetic Field Errors  


Magnetic field errors limit the beam intensity in synchrotrons as they excite nonsystematic resonances, reduce dynamic aperture, and may result in beam loss due to space charge induced resonance crossing. Methods to establish a field error model from beambased measurements are therefore a valuable tool for realistic limitation and improvement studies. We report on the implementation of a proofofprinciple experiment in the GSI synchrotron SIS18 to identify both linear and nonlinear field errors. The goal is to demonstrate the Deep Lie Map Network (DLMN) technique, a proposed datadriven approach based on (unstructured) turnbyturn BPM data. Established identification procedures in the literature are based on orbit or tune response matrices, or resonance driving terms. While they sequentially build a field error model for subsequent accelerator sections, the DLMN approach could save valuable beam time by detecting field errors in parallel. We underline the potential of the DLMN method via detailed simulation studies to infer gradient and sextupole errors. The outline of a proofofprinciple experiment is discussed upon first experimental experience.  
Slides WEA1C2 [1.439 MB]  
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