QUALITY ASSURANCE VIA DIGITAL SIGNAL PROCESSING

摘要

We have developed a fully digital signal processor for the aim to collect true spectra and supply all the information what is necessary for physics based measurements. In practice all previous signal processors or data collection system used several discriminators to reject unwanted events. However it is necessary to know the reason for the rejection. The signal processors have not supplied the necessary information about the spectra, and therefore the true spectra could not be reconstructed. We have developed a signal processor to supply the necessary information. It has been successful in X ray analysis, and we have made a pilot study in gamma ray spectroscopy as well. We present some observations here. The difference is our signal processing approach, that it analyses all the events and sort them to several spectra, based on whether they have passed or failed the discrimination criteria. It offers quality assurance capability. It also very useful in training and education, as the reason of rejection can be seen visually, whether it was a noisy event, a pile up of two true events, a pile up with a noise, an imperfect signal or a Compton scattered event into the detector. The presented examples demonstrate how differently the measurements need to be designed.