Using Artificial Immune Systems to Sort and Shim Insertion Devices at Diamond Light Source

Abstract

This work presents the Opt-ID software developed by the Rosalind Franklin Institute (RFI) and Diamond Light Source (DLS) in collaboration with Helmholtz-Zentrum Berlin (HZB). Opt-ID allows for efficient simulation of synchrotron Insertion Devices (ID) and the B fields produced by a given arrangement of candidate magnets. It provides an optimization framework built on the Artificial Immune System (AIS) algorithm for swapping and adjusting magnets within an ID to observe how these changes would affect the magnetic field of a real-world device, guiding ID builders in the steps they should take during ID tuning. Code for Opt-ID is provided open-source under the Apache-2.0 License on Github: https://github.com/rosalindfranklininstitute/Opt-ID

CPMU Development at Diamond Light Source

“…CPMUs are built by initially mounting all the horizontal magnets without poles. An in-house sort code Opt-ID, based on artificial immune system, uses Helmholtz measured data to sort the magnet blocks for an optimum magnetic field distribution [4]. Following magnet assembly, magnetic measurements are performed, and trajectories and RMS phase error are corrected using magnet swapping and flipping suggestion from Opt-ID in 'magnet-only' configuration.…”