Speaker
Description
Recent improvements and ongoing developments for the CERN Super Proton Synchrotron quadrupole magnets enable relative accuracy of 1e-5 in field gradients. The upgraded system integrates multiple arrays of PCB induction coils, with Hall probes and local coils for in-situ cross-calibration within a single fluxmeter assembly. Measurements are automated by the C++ Flexible Framework for Magnetic Measurements (FFMM), upgraded for online integration, data reduction and database storage. The framework also control complex excitation current cycle sequences with multiple high-power converters up to 6 kA peak. The readout electronics are based on commercial data acquisition cards. A data processing pipeline in Python uses Kalman filters to fuse multiple sensors correcting for integrator drift. This enables stable absolute field measurements even without NMR field markers, which work only in uniform fields,over sequences up to 800 seconds long, as needed to study magnetic hysteresis effects. The enhanced data quality obtained supports sufficient accuracy at injection required for the training of neural network models for predictive field control and machine learning based control strategies.
| In which format do you inted to submit your paper? | LaTeX |
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