Speaker
Description
A recent upgrade of the CERN Super Proton Synchrotron (SPS) quadrupole magnet measuring system enables high relative accuracy on the order of $10^{-5}$ over cycle sequences up to 800 seconds long, as needed for machine-learning based modeling and control of hysteresis effects in the frame of the Efficient Particle Accelerator (EPA) initiative. A new fluxmeter assembly integrates multiple arrays of PCB induction coils with Hall probes and local coils for in-situ cross-calibration, while new FFMM (Flexible Framework for Magnetic Measurements) C++ classes provide automation of complex excitation current cycles, data reduction and database storage. A Python data processing pipeline uses Kalman filters to fuse multiple sensors, correcting for integrator drift. This enables absolute measurements even without traditional Nuclear Magnetic Resonance (NMR) probes, which operate only in uniform fields.
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