Genetic algorithm-optimized waveform digitizing timing for a 2048-channel positron burst annihilation lifetime measurement system
摘要
Although high-speed waveform sampling has advanced high-precision timing, prohibitive data volumes and computational complexity have largely restricted these methods to laboratory-scale research. This study investigates data processing and digital timing algorithms to achieve an average per-channel time resolution of 68 ps and an overall coincidence time spectrum of 187 ps full width at half maximum (FWHM) in a 64-channel proof-of-concept. The optimized parameters are subsequently deployed in a 2048-channel system.
MethodsA genetic algorithm is trained on offline data to determine the optimal filtering and timing parameters specific to each channel. These parameters are then validated during online application.
ResultsAchieving an average per-channel time resolution of 68 ps and an overall coincidence time spectrum of 187 ps FWHM in a 64-channel proof-of-concept, with the optimized parameters subsequently deployed in a 2048-channel system.
ConclusionOnline measurement of positron burst annihilation lifetime spectra has been achieved in a system comprising 2048 channels, enabling effective measurement and differentiation of standard samples such as metallic iron and polymer PC.