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Description
Pulse parameters such as height, width and peak time provide valuable information about the source. However, real-time evaluation is currently hardly possible for high repetition rates such as those as found in a synchrotron. In this contribution, we record the summed signal from beam position monitors at the Karlsruhe Research Accelerator (KARA) with the FPGA-based pulse digitizer KAPTURE-2 and demonstrate the efficient evaluation of Gaussian pulses.
To enable real-time analysis of the acquired signals, these must be processed quickly and efficiently. Therefore, the computational workload is accelerated using a GPU, leveraging its parallel processing capabilities. In addition, an approach for parallelization on the CPU is evaluated to determine its effectiveness compared to GPU acceleration. This comparison also evaluates two methods for bunch reconstruction - QR decomposition and gradient-based least-squares minimization.
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