{"title":"Performance comparison of near-optimum digital pulse processors in high resolution X-ray spectroscopy","authors":"Angelo Geraci, M. Zambusi, G. Ripamonti","doi":"10.1109/NSSMIC.1995.504164","DOIUrl":null,"url":null,"abstract":"Digital filtering has a high potential in nuclear spectroscopy due to its adaptivity, easiness of calibration etc., but also because it can synthesise filters close to the theoretical optimum. This works is a cross-comparison of a traditional analog processing system and two near-optimum digital processing methods for what concerns energy resolution. The samples are obtained by digitising the signal pulse as it appears at the output of a proper analog conditioning circuit. Both digital techniques take advantage of the possibility of synthesising the best possible weighting function with respect to the actual noise conditions. A noticeable improvement of more than 10% in energy resolution has been achieved with both systems with respect to state-of-the-art systems based on analog circuitry. In particular, the two digital processors are shown to be the best choice respectively for on-line use with critical ballistic deficit conditions and for very high resolution spectroscopy systems ultimately limited by 1/f noise.","PeriodicalId":409998,"journal":{"name":"1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.1995.504164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Digital filtering has a high potential in nuclear spectroscopy due to its adaptivity, easiness of calibration etc., but also because it can synthesise filters close to the theoretical optimum. This works is a cross-comparison of a traditional analog processing system and two near-optimum digital processing methods for what concerns energy resolution. The samples are obtained by digitising the signal pulse as it appears at the output of a proper analog conditioning circuit. Both digital techniques take advantage of the possibility of synthesising the best possible weighting function with respect to the actual noise conditions. A noticeable improvement of more than 10% in energy resolution has been achieved with both systems with respect to state-of-the-art systems based on analog circuitry. In particular, the two digital processors are shown to be the best choice respectively for on-line use with critical ballistic deficit conditions and for very high resolution spectroscopy systems ultimately limited by 1/f noise.