Bruchon, N. Karpov, I. Madysa, N. Papotti, G. Quartullo, D. JACoW Publishing Geneva, Switzerland 2226-0358 978-3-95450-238-7 10.18429/JACoW-ICALEPCS2023-TUPDP086 English 723-728 controls emittance operation target software Contribution to a conference proceedings 2024 2024-02 https://doi.org/10.18429/JACoW-ICALEPCS2023-TUPDP086 https://jacow.org/icalepcs2023/papers/tupdp086.pdf The controlled longitudinal emittance blow-up is necessary to ensure the stability of high-intensity LHC-type beams in the CERN SPS. It consists of diffusing the particles in the bunch core by injecting a bandwidth-limited noise into the beam phase loop of the main 200 MHz RF system. Obtaining the correct amplitude and bandwidth of this noise signal is non-trivial, and it may be tedious and time-demanding if done manually. An automatic approach was developed to speed up the determination of optimal settings. The problem complexity is reduced by splitting the blow-up into multiple sub-intervals for which the noise parameters are optimized by observing the longitudinal profiles at the end of each sub-interval. The derived bunch lengths are used to determine the objective function which measures the error with respect to the requirements. The sub-intervals are tackled sequentially. The optimization moves to the next one only when the previous sub-interval is completed. The proposed tool is integrated into the CERN generic optimization framework that features pre-implemented optimization algorithms. Both single- and multi-bunch high-intensity beams are quickly and efficiently stabilized by the optimizer, used so far in high-intensity studies. A possible extension to Bayesian optimization is being investigated.