Speaker
Adrian Menor de Onate
(European Organization for Nuclear Research)
Description
To minimize beam intensity loss during a cycle in the CERN Super Proton Synchrotron (SPS), several beam parameters must be adjusted as a function of cycle time, spanning the injection, flat-bottom, acceleration, and flat-top beam processes. These parameter functions are typically tuned manually - a cumbersome process that can require hours of operator effort. This paper presents the progress towards automating the optimization of such time-dependent beam parameter functions. Using Bayesian optimization, the system aims to minimize intensity loss throughout the cycle based solely on intensity measurements. We report results from applying this approach to the optimization of the horizontal tune function on purposely degraded SPS cycles.
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Author
Adrian Menor de Onate
(European Organization for Nuclear Research)
Co-authors
Michael Schenk
(European Organization for Nuclear Research)
Borja Rodriguez Mateos
(European Organization for Nuclear Research)
Tirsi Prebibaj
(European Organization for Nuclear Research)
Verena Kain
(European Organization for Nuclear Research)
Ingrid Mases
(European Organization for Nuclear Research)