Signal Processing Techniques For Transverse Feedback Systems In Hadron Accelerators

Transverse feedback systems are essential for stable operation of all hadron accelerators with high intensity beams. An important component of such a system is a powerful digital signal processing unit. Current digital technology allows implementation of very advanced algorithms and analysis techniques to extract key parameters of the accelerator and the feedback itself. The traditional techniques based on external instruments are time consuming, destructive to the beam and do not provide required precision. The research will aim at possibilities of feedback parameter extraction and performance optimization using only active manipulations of the beam by the transverse feedback system itself and analysis of data acquired from it. Based on formalisms of signals and systems theory, the minimum required parameters will be the closed loop phase and delay. These are essential for optimum feedback operation. The second aim of the research will be to study and implement methods to extract vital accelerator parameters (e.g. the bunch by bunch machine tune and the damping time) using active manipulations of the beam by the transverse feedback system itself without degradation of the beam parameters. Accurate knowledge of these parameters is essential for ensuring beam stability and the reliable operation of the accelerator. Easy access to these parameters is important for automated TFB setting up, performance monitoring, or efficient troubleshooting. This kind of information was not accessible until now.