A. Nakamura, Hiroshi Takahashi, L. Zhang, Daiji Fukuda, T. Ishitsu, Masaharu Nakazawa, Masaki Misawa, Hideo Murayama
{"title":"CdZnTe探测器的自适应成形聚类算法","authors":"A. Nakamura, Hiroshi Takahashi, L. Zhang, Daiji Fukuda, T. Ishitsu, Masaharu Nakazawa, Masaki Misawa, Hideo Murayama","doi":"10.1109/NSSMIC.2001.1009294","DOIUrl":null,"url":null,"abstract":"CdZnTe (CZT) detectors are promising detectors which have many good characteristics such as room temperature operation, reasonable energy resolution, high detection efficiency to gamma rays, etc. However, the energy resolution of CZT is governed by poor mobilities of the charge carriers. Many researchers have tried to solve this problem. Among them, a clustering method has been recently proposed which is based on digital signal processing of preamplifier output waveforms. In this method, we can classify signals according to their shapes and independently treat different shapes. In this paper, we report a new clustering algorithm with adaptive shaping time. The obtained energy resolution for /sup 137/Cs was improved to 5.4 keV FWHM by applying this method.","PeriodicalId":159123,"journal":{"name":"2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310)","volume":"77 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Clustering algorithm with adaptive shaping method for CdZnTe detectors\",\"authors\":\"A. Nakamura, Hiroshi Takahashi, L. Zhang, Daiji Fukuda, T. Ishitsu, Masaharu Nakazawa, Masaki Misawa, Hideo Murayama\",\"doi\":\"10.1109/NSSMIC.2001.1009294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CdZnTe (CZT) detectors are promising detectors which have many good characteristics such as room temperature operation, reasonable energy resolution, high detection efficiency to gamma rays, etc. However, the energy resolution of CZT is governed by poor mobilities of the charge carriers. Many researchers have tried to solve this problem. Among them, a clustering method has been recently proposed which is based on digital signal processing of preamplifier output waveforms. In this method, we can classify signals according to their shapes and independently treat different shapes. In this paper, we report a new clustering algorithm with adaptive shaping time. The obtained energy resolution for /sup 137/Cs was improved to 5.4 keV FWHM by applying this method.\",\"PeriodicalId\":159123,\"journal\":{\"name\":\"2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310)\",\"volume\":\"77 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSSMIC.2001.1009294\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2001.1009294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clustering algorithm with adaptive shaping method for CdZnTe detectors
CdZnTe (CZT) detectors are promising detectors which have many good characteristics such as room temperature operation, reasonable energy resolution, high detection efficiency to gamma rays, etc. However, the energy resolution of CZT is governed by poor mobilities of the charge carriers. Many researchers have tried to solve this problem. Among them, a clustering method has been recently proposed which is based on digital signal processing of preamplifier output waveforms. In this method, we can classify signals according to their shapes and independently treat different shapes. In this paper, we report a new clustering algorithm with adaptive shaping time. The obtained energy resolution for /sup 137/Cs was improved to 5.4 keV FWHM by applying this method.